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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.897545</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dialysis Duration and Glucose Exposure Amount Do Not Increase Mortality Risk in Peritoneal Dialysis Patients: A Population-Based Cohort Study From 2004 to 2012</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Pei-Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1719402/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Ming-Yen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/281579/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hwang</surname> <given-names>Shang-Jyh</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1293805/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chiu</surname> <given-names>Yi-Wen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1005879/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University</institution>, <addr-line>Kaohsiung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University</institution>, <addr-line>Kaohsiung</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Robert P. Woroniecki, Stony Brook Children&#x2019;s Hospital, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Pasqual Barretti, Sao Paulo State University, Brazil; Chia-Chu Chang, Kuang Tien General Hospital, Taiwan; Anthony Michael Valeri, Columbia University, United States; Krit Pongpirul, Chulalongkorn University, Thailand</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yi-Wen Chiu, <email>chiuyiwen@gmail.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Nephrology, a section of the journal Frontiers in Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>897545</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Wu, Lin, Hwang and Chiu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wu, Lin, Hwang and Chiu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Although the bio-incompatibility of glucose-based peritoneal dialysis (PD) solution is well documented, it is used worldwide. How PD duration and the amount of dialyzate glucose exposure affect survival in patients with end-stage renal disease remain inconclusive due to improper study designs in the extant literature.</p>
</sec>
<sec>
<title>Methods</title>
<p>All incident patients with PD from 2004 to 2007 who were older than 18 years in Taiwan were included. Patients were censored when they received a transplant or at the end of 2012. Glucose exposure through PD solution was calculated by the mean glucose contained per liter when receiving PD. For those who had already shifted to hemodialysis (HD) and survived longer than 2, 3, and 4 years (the index dates), the cause-specific Cox regression model was used to make the survival comparison by PD duration and mean glucose concentration in these three cohorts, respectively. The model was adjusted by demographics, case-mix, time cohort (2004&#x2013;2005 <italic>vs.</italic> 2006&#x2013;2007), peritonitis episode (none <italic>vs</italic>. &#x2265;once), and mean PD solution glucose exposure (tertile).</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 3,226 patients were included, with a mean age of 53.4 &#x00B1; 15.2 years, 44.6% being male, and 34.2% having diabetes mellitus. The 1, 2, 3, and 4-year survival rates were 94, 87, 80, and 74%, while technical survival rates were 86, 70, 56, and 45%, respectively. The overall transplant events were 309 (9.6%) only. There were 389, 495, and 553 incident patients with PD shifting to HD included in 2-, 3-, and 4-year cohort, respectively. The population with moderate glucose concentration exposure had the highest mortality, and the high glucose concentration exposure had non-significant lower mortality in each cohort. In various fixed time-window cohorts, the duration of PD treatment did not increase mortality risk after adjustments. In addition, glucose exposure did not affect the mortality rate.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>For incident PD patients with PD duration no longer than 4 years, neither PD duration nor glucose exposure amount increases the long-term mortality risk.</p>
</sec>
</abstract>
<kwd-group>
<kwd>PD duration</kwd>
<kwd>glucose exposure</kwd>
<kwd>all-cause mortality</kwd>
<kwd>peritoneal dialysis</kwd>
<kwd>renal replacement therapy</kwd>
</kwd-group>
<contract-num rid="cn001">MOST:103-2314-B-037-033</contract-num>
<contract-num rid="cn001">MOST:104-2314-B-037-054</contract-num>
<contract-num rid="cn002">KMUH:103-3R10</contract-num>
<contract-num rid="cn002">KMUH:104-4R11</contract-num>
<contract-num rid="cn003">KMUH104-4M06</contract-num>
<contract-sponsor id="cn001">Ministry of Science and Technology<named-content content-type="fundref-id">10.13039/100007225</named-content></contract-sponsor>
<contract-sponsor id="cn002">Kaohsiung Medical University Chung-Ho Memorial Hospital<named-content content-type="fundref-id">10.13039/501100011645</named-content></contract-sponsor>
<contract-sponsor id="cn003">Kaohsiung Medical University Chung-Ho Memorial Hospital<named-content content-type="fundref-id">10.13039/501100011645</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="11"/>
<word-count count="6896"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Despite concerns about biocompatibility, glucose-based solutions are widely used in patients with peritoneal dialysis (PD) around the world. Although several more bio-compatible PD solutions are now commercially available, none of them have been proven beneficial in terms of hard outcomes, such as mortality (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). Given the high cost of new solutions, the glucose-based solution remains the first choice of PD prescription worldwide. Long-term exposure to the traditional glucose-based solution, as expected, injures the peritoneal membrane substantially because of its acidic pH, high lactate, osmolality, glucose, and glucose degradation products (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). The whole mechanism of harm from PD solutions remains complicated. All aforementioned stimulants trigger angiogenesis and fibrogenesis in the peritoneum, damage membrane solute transport, provoke residual renal function loss, and further cause PD technical failure, as well as the rare but fatal encapsulated peritoneum sclerosis (EPS) (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Since the injuries above to the peritoneum are irreversible and in progression even after PD cessation (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>), a major concern exists that the amount and duration of glucose exposure to the peritoneum might affect clinical outcomes, and whether or not there should be a planned stoppage of PD before reaching technical failure (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>However, few studies have investigated how PD glucose exposure affects clinical outcomes, such as technical survival (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B18">18</xref>), all-cause mortality (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>), and cardiovascular (CV) mortality (<xref ref-type="bibr" rid="B19">19</xref>), and even then the results were inconsistent. The reason for this might be that PD glucose exposure is a time-dependent variable. When testing the effect of the PD duration and total glucose exposure in the whole PD course on the clinical outcomes, we need to count every dialyzate glucose exposure in all PD duration. Instead of using an initial PD prescription or time-average concentration to represent baseline glucose exposure, as other studies did, we created three cohorts by different fixed time windows. In each time window, all participants had ended the PD therapy and shifted to HD, and thus all PD duration and total glucose exposure were measured (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). Furthermore, irrespective of whether the incident or enrollment date is set as the index day, PD exposure duration is measured imprecisely in these studies because PD treatment is continuously given during the observation period (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Therefore, we conducted a study using the fixed time-window to avoid those time biases. Specifically, we only included those patients with PD who had shifted to hemodialysis (HD) on the index date to determine whether PD duration or amount of dialyzate glucose exposure would be associated with the risk of mortality in incident patients with PD.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Design and Data Sources</title>
<p>We conducted a retrospective, population-based cohort study using the National Health Insurance Research Database (NHIRD), which is the claim database of the single-payer insurance system in Taiwan, with a coverage rate of more than 99%. The NHIRD comprises highly accurate information about diagnostic codes, drug prescriptions, and medical procedures, but no laboratory results, from contracted healthcare institutes. It has been well applied for generating real-world population-based evidence to test clinical and epidemiological research hypotheses (<xref ref-type="bibr" rid="B23">23</xref>). The Registry of Catastrophic Illness is a national registry system under the Taiwan National Health Insurance for patients with catastrophic illnesses, such as end-stage renal disease requiring renal replacement therapy, to waive co-payments or deductions for dialysis-related fees to reduce barriers to medical care.</p>
</sec>
<sec id="S2.SS2">
<title>Study Participants</title>
<p>From February 2004 to December 2007, we included all incident patients with PD from the NHIRD according to the following criteria. First, one should be issued the Registry of Catastrophic Illness and identified by the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes 585, 403.01, 403.11, 403.91, 404.02, 404.03, 404.12, 404.13, 404.92, or 404.93. Then, subjects should have maintenance dialysis longer than 90 days, and have a PD prescription within 90 days after the first dialysis. Patients who did not have a birth record, were less than 18-years-old, and had a renal transplant history were excluded. A total of 3,226 patients formed the original study cohort. All study subjects were followed until death or the end of observation on 31 December 2012. This study was approved by the Institutional Review Board of the Kaohsiung Medical University Hospital, Kaohsiung Medical University, Taiwan (KMUHIRB-E(I)-20190137). All research procedures followed the directives of the Declaration of Helsinki. Since all identifiable privacy information was encrypted with unique and anonymous identifiers, the review board waived the requirement for informed written consent.</p>
</sec>
<sec id="S2.SS3">
<title>Definitions of Different Time Cohorts, Peritoneal Dialysis Glucose Exposure, and Death</title>
<p>To avoid time-window bias resultant from PD duration, we created three study time cohorts to evaluate the effects of PD duration and PD glucose on long-term mortality. We defined 2-, 3-, and 4-year cohorts as including incident patients with PD who had already shifted to HD and survived longer than 2, 3, and 4 years since the initiation of PD, respectively. The detailed patient selection process is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. For further survival comparison, PD exposure duration within different fixed time-windows was categorized as: &#x003C;1 and 1&#x2013;2 years in the 2-year cohort; &#x003C;1, 1&#x2013;2, and 2&#x2013;3 years in the 3-year cohort; and &#x003C;1, 1&#x2013;2, 2&#x2013;3, and 3&#x2013;4 years in the 4-year cohort.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Flowchart of patient enrollment in different fixed time-window cohorts.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-897545-g001.tif"/>
</fig>
<p>We determined the exposure of glucose in PD dialyzate using mean glucose concentration (mg/dl), defined as total accumulated glucose in PD dialyzate divided by total accumulated PD solution volume during PD treatment. The glucose amount of icodextrin was calculated as zero. We further classified mean glucose concentration into tertiles in each time cohort for further analysis. All-cause mortality was defined as either the presence of a death date or no other renal replacement therapy treatment claim that could be traced in the dataset.</p>
</sec>
<sec id="S2.SS4">
<title>Covariates</title>
<p>Patient demographic characteristics of age, sex, socioeconomic status [dependent, &#x003C;20,000, and &#x2265;20,000 New Taiwan dollars (approximately 667 United States dollars)], and resident urbanization (rural and urban) were collected from the NHIRD. We also identified patients&#x2019; major comorbidities, such as diabetes mellitus (DM) (ICD-9-CM code: 250), hypertension (ICD-9-CM codes: 401&#x2013;405), myocardial infarction (ICD-9-CM code: 410), heart failure (ICD-9-CM code: 428), cerebrovascular disease (ICD-9-CM codes: 433, 434, and 436), gout (ICD-9-CM code: 274), and peripheral vascular disease (ICD-9-CM codes: 250.7, 443.9, 442.2, 785.4, 443.00, and 443.81). The presence of comorbidity was defined as that the defined diagnostic code appeared &#x2265;2 times in outpatient claims or &#x2265;1 time in admission claims within 1 year prior to PD initiation. Disease severity was displayed using the Charlson comorbidity index, which was calculated based on the formula from previous literature (<xref ref-type="bibr" rid="B24">24</xref>). In addition, PD-related peritonitis was considered to be an important confounder, and identified by the combination of ICD-9-CM code (996.68) and the prescription of intravenous-form antibiotics.</p>
</sec>
<sec id="S2.SS5">
<title>Statistical Analyses</title>
<p>Data were presented as mean &#x00B1; standard deviation (SD) or median with interquartile range (IQR) for continuous variables and percentage for categorical variables as appropriate. The follow-up time for mortality analyses in each cohort began at the end of the fixed time-window until death or the end of observation on 31 December 2012, which ever occurred first. We excluded incident patients with PD receiving renal transplants in the fixed time window, and censored them on the date of surgery when their renal transplants occurred during the observation period. Cumulative risks of the mortality were estimated using the Kaplan&#x2013;Meier survival analysis, and the Wilcoxon test examined differences in risks of those exposed to different PD durations and concentrations of glucose-based PD dialyzate. By taking the renal transplant event as a competitive risk, the cause-specific Cox regression model adjusting for the covariates was applied to explore the associations of PD duration and concentration of glucose-based PD dialyzate with the risk of all-cause mortality. Interactions of PD duration and glucose concentration with all-cause mortality were also inspected in the models, and they were introduced into the model once the interaction above showed significance. Among the covariates included in the cause-specific Cox model were age, sex, socioeconomic status, resident urbanization, comorbidities, Charlson comorbidity index, PD duration, total glucose exposure through PD dialyzate, and PD-related peritonitis. We further adjusted our model with vascular access type and HD center size as a sensitivity test. To test the time effect on mortality after the fixed time-window, we further stratified the observation period of each cohort based on its duration, which was: &#x003C;1, 1&#x2013;2, 2&#x2013;3, 3&#x2013;4, and &#x003E;4 years for the 2-year cohort; &#x003C;1, 1&#x2013;2, 2&#x2013;3, and &#x003E;3 years for the 3-year cohort; and &#x003C;1, 1&#x2013;2, and &#x003E;2 years for the 4-year cohort. The adjusted hazard ratio (<italic>AHR</italic>) was calculated for every time frame above in each cohort. We further divided each cohort by DM status and reran the analysis. All statistical operations were performed using SAS (version 9.4, SAS Institute, Cary, NC, United States). A <italic>p</italic>-value &#x003C; 0.05 was defined as statistically significant.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<p>A total of 3,226 incident patients with PD were enrolled from 2004 to 2007, with the baseline characteristics presented in <xref ref-type="table" rid="T1">Table 1</xref>. The median PD duration was approximately 4 years. A total of 1,331 (41.3%) patients had suffered from PD-related peritonitis at least once in the fixed time-window periods, and the total transplant events were 309 (9.6%). The survival rates of 1, 2, 3, and 4 years were 94, 87, 80, and 70%, respectively; while the technical survival rates of 1, 2, 3, and 4 years were 86, 70, 56, and 45%, respectively. By the definition of 2-, 3-, and 4-year cohort in this study, there were 389, 495, and 553 incident patients with PD included in each cohort, respectively (<xref ref-type="fig" rid="F1">Figure 1</xref>); these were the results of balance among patient survival, PD technical survival, and receiving a renal transplant or not. Compared with the overall study population, any variable relevant to those three factors mentioned above (patient survival, PD technical survival, and receiving a renal transplant or not) would probably significantly differ among the three cohorts. For instance, patients from the 2- to 4-year cohort were: younger; more male; less having DM, myocardial infarction, and congestive heart failure; and lower comorbidity burden. As anticipated, median PD duration increased as the cohort went from 2- to 4-year.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Patient characteristics in overall and different fixed time-window cohorts.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Characteristics</td>
<td valign="top" align="center"/><td valign="top" align="center" colspan="3">Fixed time-window cohorts<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Overall</td>
<td valign="top" align="center">Two-year<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
<td valign="top" align="center">Three-year<xref ref-type="table-fn" rid="t1fnb"><sup>b</sup></xref></td>
<td valign="top" align="center">Four-year<xref ref-type="table-fn" rid="t1fnc"><sup>c</sup></xref></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Number</td>
<td valign="top" align="center">3,226</td>
<td valign="top" align="center">389</td>
<td valign="top" align="center">495</td>
<td valign="top" align="center">553</td>
</tr>
<tr>
<td valign="top" align="left">Age<sup><xref ref-type="table-fn" rid="t1fns1">#</xref>,<xref ref-type="table-fn" rid="t1fns2">&#x0024;</xref>,<xref ref-type="table-fn" rid="t1fns3">&#x0026;</xref></sup> (year)</td>
<td valign="top" align="center">53.4(&#x00B1;15.2)</td>
<td valign="top" align="center">55.3(&#x00B1;14.6)</td>
<td valign="top" align="center">52.8(&#x00B1;15)</td>
<td valign="top" align="center">51.9(&#x00B1;14.5)</td>
</tr>
<tr>
<td valign="top" align="left">Male sex<sup><xref ref-type="table-fn" rid="t1fns3">&#x0026;</xref></sup> (%)</td>
<td valign="top" align="center">1439(44.6%)</td>
<td valign="top" align="center">172(44.2%)</td>
<td valign="top" align="center">236(47.7%)</td>
<td valign="top" align="center">272(49.2%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Socioeconomic status</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Dependent (%)</td>
<td valign="top" align="center">391(12.1%)</td>
<td valign="top" align="center">53(13.6%)</td>
<td valign="top" align="center">66(13.3%)</td>
<td valign="top" align="center">72(13%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;20,000 NTD (%)</td>
<td valign="top" align="center">1691(52.4%)</td>
<td valign="top" align="center">213(54.8%)</td>
<td valign="top" align="center">266(53.7%)</td>
<td valign="top" align="center">290(52.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;20,000 NTD (%)</td>
<td valign="top" align="center">1144(35.5%)</td>
<td valign="top" align="center">123(31.6%)</td>
<td valign="top" align="center">163(32.9%)</td>
<td valign="top" align="center">191(34.5%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Urbanization</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Rural (%)</td>
<td valign="top" align="center">663(20.6%)</td>
<td valign="top" align="center">90(23.1%)</td>
<td valign="top" align="center">110(22.2%)</td>
<td valign="top" align="center">120(21.7%)</td>
</tr>
<tr>
<td valign="top" align="left">Urban (%)</td>
<td valign="top" align="center">2563(79.4%)</td>
<td valign="top" align="center">299(76.9%)</td>
<td valign="top" align="center">385(77.8%)</td>
<td valign="top" align="center">433(78.3%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Comorbidity</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Diabetes mellitus<sup><xref ref-type="table-fn" rid="t1fns1">#</xref>,<xref ref-type="table-fn" rid="t1fns2">&#x0024;</xref></sup> (%)</td>
<td valign="top" align="center">1103(34.2%)</td>
<td valign="top" align="center">184(47.3%)</td>
<td valign="top" align="center">212(42.8%)</td>
<td valign="top" align="center">210(38%)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension (%)</td>
<td valign="top" align="center">2586(80.2%)</td>
<td valign="top" align="center">314(80.7%)</td>
<td valign="top" align="center">405(81.8%)</td>
<td valign="top" align="center">452(81.7%)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial infarction (%)</td>
<td valign="top" align="center">53(1.6%)</td>
<td valign="top" align="center">7(1.8%)</td>
<td valign="top" align="center">8(1.6%)</td>
<td valign="top" align="center">6(1.1%)</td>
</tr>
<tr>
<td valign="top" align="left">Congestive heart failure<sup><xref ref-type="table-fn" rid="t1fns1">#</xref></sup> (%)</td>
<td valign="top" align="center">429(13.3%)</td>
<td valign="top" align="center">70(18.0%)</td>
<td valign="top" align="center">78(15.8%)</td>
<td valign="top" align="center">79(14.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Stroke (%)</td>
<td valign="top" align="center">158(4.9%)</td>
<td valign="top" align="center">23(5.9%)</td>
<td valign="top" align="center">26(5.3%)</td>
<td valign="top" align="center">23(4.2%)</td>
</tr>
<tr>
<td valign="top" align="left">Gout (%)</td>
<td valign="top" align="center">596(18.5%)</td>
<td valign="top" align="center">81(20.8%)</td>
<td valign="top" align="center">100(20.2%)</td>
<td valign="top" align="center">113(20.4%)</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral vascular disease (%)</td>
<td valign="top" align="center">104(3.2%)</td>
<td valign="top" align="center">18(4.6%)</td>
<td valign="top" align="center">20(4%)</td>
<td valign="top" align="center">23(4.2%)</td>
</tr>
<tr>
<td valign="top" align="left">Charlson index<sup><xref ref-type="table-fn" rid="t1fns1">#</xref>,<xref ref-type="table-fn" rid="t1fns2">&#x0024;</xref>,<xref ref-type="table-fn" rid="t1fns3">&#x0026;</xref></sup></td>
<td valign="top" align="center">3(2,5)</td>
<td valign="top" align="center">4(2,6)</td>
<td valign="top" align="center">3(2,5)</td>
<td valign="top" align="center">3(2,5)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Charlson index, by score<sup><xref ref-type="table-fn" rid="t1fns1">#</xref>,<xref ref-type="table-fn" rid="t1fns2">&#x0024;</xref></sup></bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">92(2.9%)</td>
<td valign="top" align="center">8(2.1%)</td>
<td valign="top" align="center">12(2.4%)</td>
<td valign="top" align="center">12(2.2%)</td>
</tr>
<tr>
<td valign="top" align="left">3&#x2013;4</td>
<td valign="top" align="center">1032(32%)</td>
<td valign="top" align="center">91(23.4%)</td>
<td valign="top" align="center">127(25.7%)</td>
<td valign="top" align="center">163(29.5%)</td>
</tr>
<tr>
<td valign="top" align="left">5&#x2013;6</td>
<td valign="top" align="center">1159(35.9%)</td>
<td valign="top" align="center">141(36.2%)</td>
<td valign="top" align="center">180(36.4%)</td>
<td valign="top" align="center">207(37.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;7</td>
<td valign="top" align="center">943(29.2%)</td>
<td valign="top" align="center">149(38.3%)</td>
<td valign="top" align="center">176(35.6%)</td>
<td valign="top" align="center">171(30.9%)</td>
</tr>
<tr>
<td valign="top" align="left">PD duration<sup><xref ref-type="table-fn" rid="t1fns1">#</xref>,<xref ref-type="table-fn" rid="t1fns2">&#x0024;</xref>,<xref ref-type="table-fn" rid="t1fns3">&#x0026;</xref></sup> (day)</td>
<td valign="top" align="center">1383(599.5,2122)</td>
<td valign="top" align="center">362(153,575)</td>
<td valign="top" align="center">548(262,821)</td>
<td valign="top" align="center">690(329,1034)</td>
</tr>
<tr>
<td valign="top" align="left">PD-related peritonitis<sup><xref ref-type="table-fn" rid="t1fns2">&#x0024;</xref>,<xref ref-type="table-fn" rid="t1fns3">&#x0026;</xref></sup> (%)</td>
<td valign="top" align="center">1331(41.3%)</td>
<td valign="top" align="center">174(44.7%)</td>
<td valign="top" align="center">245(49.5%)</td>
<td valign="top" align="center">279(50.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Peritonitis rate (per person-year) (95%CI)</td>
<td valign="top" align="center">0.179(0.155,0.207)</td>
<td valign="top" align="center">0.119(0.099,0.142)</td>
<td valign="top" align="center">0.129(0.109,0.153)</td>
<td valign="top" align="center">0.123(0.103,0.147)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>NTD, new Taiwan dollar; PD, peritoneal dialysis; CI, confidence interval.</italic></p></fn>
<fn id="t1fna"><p><italic><sup>a</sup>PD duration less than 2 years and survival of more than 2 years, i.e., a 2-year cohort.</italic></p></fn>
<fn id="t1fnb"><p><italic><sup>b</sup>PD duration less than 3 years and survival of more than 3 years, i.e., a 3-year cohort.</italic></p></fn>
<fn id="t1fnc"><p><italic><sup>c</sup>PD duration less than 4 years and survival of more than 4 years, i.e., a 4-year cohort.</italic></p></fn>
<fn><p><italic>Data are represented as mean &#x00B1; standard deviation (SD) or median (interquartile range) for continuous variables and count (proportion) for categorical variables. An independent t-test or Mann&#x2013;Whitney U-test and &#x03C7;<sup>2</sup> are applied for comparing the differences of continuous and categorical variables, respectively, among the fixed time-window cohorts and overall cohort.</italic></p></fn>
<fn id="t1fns1"><p><italic><sup>#</sup>p &#x003C; 0.05 compared to the overall cohort.</italic></p></fn>
<fn id="t1fns2"><p><italic><sup>&#x0024;</sup>p &#x003C; 0.05 compared to the overall cohort.</italic></p></fn>
<fn id="t1fns3"><p><italic><sup>&#x0026;</sup>p &#x003C; 0.05 compared to the overall cohort.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The numbers of deaths, observation period, and mortality rate in different time cohorts by PD duration and exposed glucose concentration are summarized in <xref ref-type="table" rid="T2">Table 2</xref>. The number of deaths and mortality rate decreased from 2- to 4-year cohort. In addition, a non-significant trend of a higher mortality rate in subjects with longer PD duration in each time cohort was observed. Mean glucose concentrations in each tertile were not significantly different among these three cohorts. However, the population with moderate glucose concentration exposure had the highest mortality, and the high glucose concentration exposure had non-significant lower mortality in each time cohort. When we used the Kaplan&#x2013;Meier approach to estimate the cumulative mortality in these three cohorts, neither PD duration nor PD glucose concentration significantly impacted mortality outcome (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). However, for patients with DM in all three cohorts, the population with a longer PD duration had a higher mortality but not the non-DM population (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 2-1</xref>, <xref ref-type="supplementary-material" rid="DS1">2-2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Death event number, observation period, and mortality concerning peritoneal dialysis exposure by different time-window cohort.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Parameters</td>
<td valign="top" align="center">Patient number</td>
<td valign="top" align="center">Number of deaths</td>
<td valign="top" align="center">Observation period<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref>, patient-years</td>
<td valign="top" align="center">Mortality rate (95% CI), per 1,000 patient-years</td>
<td valign="top" align="center"><italic>p</italic>-value<sup><xref ref-type="table-fn" rid="t2fns2">&#x0026;</xref></sup></td>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left" colspan="6">2-year cohort (<italic>n</italic> = 389)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>P.D. duration (year)</bold></td>
<td/>
<td/>
<td valign="top" align="center"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">199</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">729.1</td>
<td valign="top" align="center">93.3(73.5,118.3)</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">190</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">649.0</td>
<td valign="top" align="center">106.3(84.0,134.6)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Mean PD glucose concentration<sup><xref ref-type="table-fn" rid="t2fns3">#</xref></sup> (mg/dL)</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.63)</td>
<td valign="top" align="center">128</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">433.9</td>
<td valign="top" align="center">103.7(77.4,138.9)</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.63&#x2013;1.96)</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">454.8</td>
<td valign="top" align="center">109.9(83.3,145.1)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.96)</td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">489.5</td>
<td valign="top" align="center">85.8(63.4,116.1)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>3-year cohort (<italic>n</italic> = 495)</bold></td>
<td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>PD duration (year)</bold></td>
<td/>
<td/>
<td valign="top" align="center"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">544.0</td>
<td valign="top" align="center">79.0(58.6,106.6)</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;&#x003C;2</td>
<td valign="top" align="center">157</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">485.0</td>
<td valign="top" align="center">88.7(65.8,119.5)</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;3</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">487.1</td>
<td valign="top" align="center">100.6(76.0,133.1)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Mean PD glucose concentration<sup><xref ref-type="table-fn" rid="t2fns3">#</xref></sup> (mg/dL)</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.66)</td>
<td valign="top" align="center">163</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">475.9</td>
<td valign="top" align="center">94.6(70.6,126.6)</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.66&#x2013;1.96)</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">495.8</td>
<td valign="top" align="center">102.9(78.2,135.3)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.96)</td>
<td valign="top" align="center">164</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">544.4</td>
<td valign="top" align="center">71.6(52.3,98.1)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>4-year cohort (<italic>n</italic> = 553)</bold></td>
<td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>PD duration (year)</bold></td>
<td/>
<td/>
<td valign="top" align="center"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1.0</td>
<td valign="top" align="center">156</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">377.9</td>
<td valign="top" align="center">74.1(51.2,107.3)</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;&#x003C;2</td>
<td valign="top" align="center">136</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">340.4</td>
<td valign="top" align="center">70.5(47.3,105.2)</td>
<td valign="top" align="center">0.86</td>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;&#x003C;3</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">337.2</td>
<td valign="top" align="center">77.1(52.5,113.2)</td>
<td valign="top" align="center">0.88</td>
</tr>
<tr>
<td valign="top" align="left">3&#x2013;4</td>
<td valign="top" align="center">121</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">272.3</td>
<td valign="top" align="center">77.1(50.3,118.3)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Mean PD glucose concentration<sup><xref ref-type="table-fn" rid="t2fns3">#</xref></sup> (mg/dL)</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.65)</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">414.0</td>
<td valign="top" align="center">82.1(58.7,114.9)</td>
<td valign="top" align="center">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.65&#x2013;1.94)</td>
<td valign="top" align="center">188</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">431.4</td>
<td valign="top" align="center">83.5(60.2,115.7)</td>
<td valign="top" align="center">0.95</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.94)</td>
<td valign="top" align="center">183</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">482.4</td>
<td valign="top" align="center">60.1(41.8,86.5)</td>
<td valign="top" align="center">0.22</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>CI, confidence interval; PD, peritoneal dialysis.</italic></p></fn>
<fn id="t2fns1"><p><italic>&#x002A;Calculated from the end of fixed time-windows, 2-, 3-, and 4-year, respectively, to the time of death or 31 December 2012.</italic></p></fn>
<fn id="t2fns2"><p><italic><sup>&#x0026;</sup>The different mortality rates by PD duration and glucose concentration in each time cohort were tested by the Poisson regression model.</italic></p></fn>
<fn id="t2fns3"><p><italic><sup>#</sup>Counted by using total accumulated glucose in PD dialyzate divided by total accumulated PD solution volumes during PD treatment.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Cumulative mortality proportion by peritoneal dialysis (PD) duration. <bold>(A)</bold> Cumulative mortality proportion in the 2-year cohort; <bold>(B)</bold> cumulative mortality proportion in the 3-year cohort; <bold>(C)</bold> cumulative mortality proportion in the 4-year cohort. The Kaplan&#x2013;Meier approach was used to estimate the mortality proportion, and the differences of mortality proportion were examined by the Wilcoxon test. A <italic>p</italic>-value &#x003C; 0.05 was significant.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-897545-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Cumulative mortality proportion by mean glucose concentration of PD dialyzate. <bold>(A)</bold> Cumulative mortality proportion in the 2-year cohort; <bold>(B)</bold> cumulative mortality proportion in the 3-year cohort; <bold>(C)</bold> cumulative mortality proportion in the 4-year cohort. The Kaplan&#x2013;Meier approach was used to estimate the mortality proportions with the differences of mortality proportion examined by the Wilcoxon test. A <italic>p</italic>-value &#x003C; 0.05 was significant.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-897545-g003.tif"/>
</fig>
<p>In <xref ref-type="table" rid="T3">Table 3</xref>, we used a cause-specific Cox model analysis to test the effect of PD duration and PD glucose concentration on mortality in all three cohorts. After adjusting for all variables listed in <xref ref-type="table" rid="T1">Table 1</xref>, it was found that the <italic>AHR</italic> increased as PD duration increased. Surprisingly, the high PD glucose concentration group had a lower <italic>AHR</italic> than the moderate one when using the low one as a reference in two of the three cohorts. However, none of them was statistically significant, indicating that we cannot find any increased mortality risk by either longer PD duration or higher PD glucose concentration in our 2-, 3-, or 4-year cohorts. The results were similar even after further adjusting for vascular access type and HD center size (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Furthermore, there is no interaction of PD duration and glucose concentration in the models when testing mortality after the fixed time-windows. Other risk factors associated with all-cause mortality included age, DM, peripheral vascular disease, number of peritonitis, and Charlson comorbidity index. Among them, only age was consistently significant in all three cohorts (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). Given that our data do not meet the proportional hazard assumption in the current Cox model, we further stratified the observation period based on length to determine mortality hazard in different time frames. The results are presented in <xref ref-type="table" rid="T4">Table 4</xref>. The hazard ratios (<italic>HR</italic>s) of mortality by observation duration were not statistically significant among different mean glucose concentration exposure except for one, &#x2265;4 year in the 2-year cohort. Similarly, the 3- and 4-year cohorts had only one significant result among different PD durations but no dose-response. Similar to our prior results, neither PD duration nor mean glucose exposure affects most of the mortality in DM and non-DM cohorts after adjustment (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 3-1</xref>, <xref ref-type="supplementary-material" rid="DS1">3-2</xref>), with the exception of the PD duration in the 4-year cohort of patients with DM (<italic>HR</italic>: 3.50, 95% <italic>CI</italic>: 1.58&#x2013;7.75).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Risk of mortality concerning PD exposure by different time-window cohorts by the cause-specific Cox regression model<sup><xref ref-type="table-fn" rid="t3fns1">#</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Parameters</td>
<td valign="top" align="center">Crude hazard ratio (95% CI)</td>
<td valign="top" align="center">Adjusted hazard ratio (95% CI)</td>
<td valign="top" align="center"><italic>p-</italic>value</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">2-year cohort (<italic>n</italic> = 389)</td>
<td/>
<td/>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>PD duration (year)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">1.14 (0.82, 1.60)</td>
<td valign="top" align="center">0.91 (0.62, 1.33)</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Mean PD glucose concentration (mg/dL)</bold></td>
<td/>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.63)</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.63&#x2013;1.96)</td>
<td valign="top" align="center">1.05 (0.70, 1.57)</td>
<td valign="top" align="center">0.84 (0.53, 1.33)</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.96)</td>
<td valign="top" align="center">0.86 (0.57, 1.31)</td>
<td valign="top" align="center">0.84 (0.52, 1.37)</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>3-year cohort (<italic>n</italic> = 495)</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>PD duration (year)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">1.13 (0.74, 1.73)</td>
<td valign="top" align="center">0.98 (0.63, 1.53)</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;3</td>
<td valign="top" align="center">1.26 (0.84, 1.90)</td>
<td valign="top" align="center">1.29 (0.82, 2.02)</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Mean PD glucose concentration (mg/dL)</bold></td>
<td/>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.66)</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.66&#x2013;1.96)</td>
<td valign="top" align="center">1.10 (0.74, 1.65)</td>
<td valign="top" align="center">0.84 (0.54, 1.31)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.96)</td>
<td valign="top" align="center">0.80 (0.52, 1.22)</td>
<td valign="top" align="center">0.83 (0.52, 1.33)</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>4-year cohort (<italic>n</italic> = 553)</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>PD duration (year)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">0.96 (0.56, 1.66)</td>
<td valign="top" align="center">0.87 (0.48, 1.55)</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;3</td>
<td valign="top" align="center">1.03 (0.60, 1.76)</td>
<td valign="top" align="center">1.35 (0.76, 2.38)</td>
<td valign="top" align="center">0.30</td>
</tr>
<tr>
<td valign="top" align="left">3&#x2013;4</td>
<td valign="top" align="center">1.03 (0.58, 1.81)</td>
<td valign="top" align="center">1.09 (0.57, 2.09)</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Mean PD glucose concentration (mg/dL)</bold></td>
<td/>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.65)</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.65&#x2013;1.94)</td>
<td valign="top" align="center">1.02 (0.64, 1.63)</td>
<td valign="top" align="center">0.92 (0.55, 1.55)</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.94)</td>
<td valign="top" align="center">0.76 (0.46, 1.25)</td>
<td valign="top" align="center">0.81 (0.46, 1.41)</td>
<td valign="top" align="center">0.45</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fns1"><p><italic><sup>#</sup>Renal transplant as a competing event.</italic></p></fn>
<fn><p><italic>CI, confidence interval; PD, peritoneal dialysis.</italic></p></fn>
<fn><p><italic>Model adjusted for age, sex, socioeconomic status, urbanization, comorbidity (diabetes mellitus, hypertension, myocardial infarction, congestive heart failure, stroke, gout, and peripheral vascular disease), Charlson score, and PD-related peritonitis (categorized by none, one time, and more than one time).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Risk of mortality concerning PD exposure by follow-up duration in three different time-window cohorts by the cause-specific Cox regression model<sup><xref ref-type="table-fn" rid="t4fns1">#</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Parameters</td>
<td valign="top" align="center" colspan="10">Follow-up duration (year)<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Adjusted HR (95% CI)</td>
<td valign="top" align="center"><italic>p-</italic>value</td>
<td valign="top" align="center">Adjusted HR (95% CI)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">Adjusted HR (95% CI)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">Adjusted HR (95% CI)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
<td valign="top" align="center">Adjusted HR (95% CI)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">2-year cohort (<italic>n</italic> = 389)</td>
<td valign="top" align="center">&#x003C;1</td>
<td/>
<td valign="top" align="center">1&#x2013;2</td>
<td/>
<td valign="top" align="center">2&#x2013;3</td>
<td/>
<td valign="top" align="center">3&#x2013;4</td>
<td/>
<td valign="top" align="center">&#x2265;4</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">PD duration (year)</td>
<td/>
<td valign="top" align="center">0.44</td>
<td/>
<td valign="top" align="center">0.30</td>
<td/>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center"/><td valign="top" align="center">0.12</td>
<td valign="top" align="center"/><td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">1.26 (0.71&#x2013;2.25)</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">1.47 (0.71&#x2013;3.02)</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">1.36 (0.60&#x2013;3.11)</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.27 (0.05&#x2013;1.43)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.14 (0.02&#x2013;1.31)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Mean PD glucose concentration (mg/dL)</td>
<td valign="top" align="center">0.65</td>
<td/>
<td/>
<td valign="top" align="center">0.77</td>
<td/>
<td valign="top" align="center">0.44</td>
<td/>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.63)</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.63&#x2013;1.96)</td>
<td valign="top" align="center">0.72 (0.35&#x2013;1.46)</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">1.13 (0.43&#x2013;2.94)</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">1.39 (0.51&#x2013;3.78)</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.49 (0.10&#x2013;2.39)</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.03 (0.001&#x2013;0.67)</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.96)</td>
<td valign="top" align="center">0.91 (0.44&#x2013;1.89)</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">1.39 (0.54&#x2013;3.62)</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.71 (0.22&#x2013;2.32)</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.13 (0.01&#x2013;1.23)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.24 (0.04&#x2013;1.59)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">3-year cohort (<italic>n</italic> = 495)</td>
<td valign="top" align="center">&#x003C;1</td>
<td/>
<td valign="top" align="center">1&#x2013;2</td>
<td/>
<td valign="top" align="center">2&#x2013;3</td>
<td/>
<td valign="top" align="center">&#x2265;3</td>
<td/>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">PD duration (year)</td>
<td/>
<td valign="top" align="center">0.31</td>
<td/>
<td valign="top" align="center">0.71</td>
<td/>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center"/><td valign="top" align="center">0.47</td>
<td valign="top" align="center" colspan="2">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">1.34 (0.67, 2.69)</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">1.40 (0.61, 3.21)</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.49 (0.14, 1.66)</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.41 (0.10&#x2013;1.70)</td>
<td valign="top" align="center">0.22</td>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">2&#x2013;3</td>
<td valign="top" align="center">1.71 (0.86, 3.38)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">1.33 (0.54, 3.26)</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">2.84 (1.01, 7.96)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.65 (0.14&#x2013;3.02)</td>
<td valign="top" align="center">0.59</td>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left" colspan="2">Mean PD glucose concentration (mg/dL)</td>
<td valign="top" align="center">0.78</td>
<td/>
<td/>
<td valign="top" align="center">0.14</td>
<td/>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.21</td>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.66)</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center" colspan="2">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Moderate (1.66&#x2013;1.96)</td>
<td valign="top" align="center">0.79 (0.40, 1.55)</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">1.73 (0.77, 3.89)</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">1.01 (0.38, 2.71)</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.23 (0.04&#x2013;1.18)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.96)</td>
<td valign="top" align="center">0.93 (0.46, 1.87)</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.75 (0.29, 1.99)</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.36 (0.10, 1.31)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.55 (0.15&#x2013;1.98)</td>
<td valign="top" align="center">0.36</td>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">4-year cohort (<italic>n</italic> = 553)</td>
<td valign="top" align="center">&#x003C;1</td>
<td/>
<td valign="top" align="center">1&#x2013;2</td>
<td/>
<td valign="top" align="center">&#x2265;2</td>
<td/>
<td valign="top" colspan="2"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">PD duration (year)</td>
<td/>
<td valign="top" align="center">0.70</td>
<td/>
<td valign="top" align="center">0.03</td>
<td/>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center" colspan="2">&#x2013;</td>
<td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" colspan="2"/><td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">1.35 (0.61, 2.99)</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.48 (0.15, 1.57)</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.52 (0.13&#x2013;2.08)</td>
<td valign="top" align="center">0.35</td>
<td valign="top" colspan="2"/><td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">2&#x2013;3</td>
<td valign="top" align="center">1.21 (0.51, 2.89)</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">2.13 (0.81, 5.65)</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.98 (0.24&#x2013;4.06)</td>
<td valign="top" align="center">0.98</td>
<td valign="top" colspan="2"/><td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">3&#x2013;4</td>
<td valign="top" align="center">1.67 (0.71, 3.93)</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">2.27 (0.79, 6.55)</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.25 (0.04&#x2013;1.77)</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center" colspan="2">&#x2013;</td>
<td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left" colspan="2">Mean PD glucose concentration (mg/dL)</td>
<td valign="top" align="center">0.69</td>
<td/>
<td valign="top" align="center">0.44</td>
<td/>
<td valign="top" align="center">0.12</td>
<td valign="top" colspan="2"/><td valign="top" align="center"/><td/>
</tr>
<tr>
<td valign="top" align="left">Low (&#x003C;1.65)</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" colspan="2"/><td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">Moderate (1.65&#x2013;1.94)</td>
<td valign="top" align="center">1.13 (0.56, 2.31)</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.98 (0.41, 2.31)</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.18 (0.04, 0.92)</td>
<td valign="top" align="center">0.04</td>
<td valign="top" colspan="2"/><td valign="top" colspan="2"/></tr>
<tr>
<td valign="top" align="left">High (&#x003E;1.94)</td>
<td valign="top" align="center">0.82 (0.36, 1.83)</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.54 (0.20, 1.52)</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.64 (0.20, 2.04)</td>
<td valign="top" align="center">0.45</td>
<td valign="top" colspan="2"/><td valign="top" colspan="2"/></tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fns1"><p><italic><sup>#</sup>Renal transplant as a competing event.</italic></p></fn>
<fn><p><italic>CI, confidence interval; PD, peritoneal dialysis.</italic></p></fn>
<fn><p><italic>Model adjusted for age, sex, socioeconomic status, urbanization, comorbidity (diabetes mellitus, hypertension, myocardial infarction, congestive heart failure, stroke, gout, and peripheral vascular disease), Charlson score, and PD-related peritonitis (categorized by none, one time, and more than one time).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>To the best of the authors&#x2019; knowledge, our study is the first to investigate the impact of PD duration and PD glucose exposure on mortality risk in incident patients with PD who had already shifted to maintenance HD prior to the study index date. This study avoids the time-dependent bias and calculates total glucose exposure during PD treatment, which are ignored in almost all extant literature. We found that neither longer PD duration nor higher glucose exposure amount increases the risk for all-cause mortality in incident patients with PD having PD treatment less than 4 years and already shifted to HD treatment. The results were the same during reanalysis after stratifying the observation time. As expected, older age increased the risk for all-cause mortality in our study cohorts (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Although the association of PD duration and mortality has long been investigated, no consistent conclusion has been reached (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>). The main reason for this is that PD duration has seldom been correctly defined. When using time-to-event analysis, time bias will occur if the study design allows PD treatment to exist after the index day, i.e., during the observation period. Irrespective of including incident or prevalent patients with PD, the authors tend to make three kinds of errors in those studies. The first error is to ignore the PD treatment during the observation period, regardless of the treatment length (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). The second is to censor the PD participants when shifting to HD, and such study design excludes those mortalities occurring after the change of renal replacement therapy modality, which is highly common (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>This also causes time-to-event analysis to show that the longer PD duration was associated with death because the incident patients with PD tend to shift to HD or have renal transplants rather than die on PD. The third, and most important, error is that those studies cannot distinguish the effect on mortality of PD treatment from uremic exposure period (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>). The longer PD duration before enrollment also means more extended exposure to uremia, which is associated with a higher mortality risk and needs further adjustment. However, to the best of the authors&#x2019; knowledge, it is almost impossible to distinguish the effect of PD duration from the duration of uremic status exposure on all-cause mortality in the aforementioned design. In other words, once the time-to-event study sets the index day before the cessation of PD treatment, regardless of whether incident or prevalent patients are included, such a design will confound the effect of PD treatment and uremic exposure duration on mortality. Indeed, this makes one less likely to discern the pure PD treatment effect on mortality, which constitutes a crucial issue for both patients with PD and care teams. To overcome all of the disadvantages in the above-mentioned methodology, we used a fixed time-window to observe the long-term effect of PD exposure on survival in patients who already shifted to HD. In our study design, uremic exposure is also well-controlled, which assists us to precisely define the PD treatment effect on all-cause mortality. In PD exposure of less than 4 years, we cannot confirm that all-cause mortality increases after stopping PD.</p>
<p>Given the correct measurement of PD duration in our cohort, we can further test the effect of total PD glucose exposure on mortality. In extant literature, including incident patients with PD and calculating PD glucose exposure by using glucose concentration in the beginning or short-term observation period, may not represent total glucose load during the follow-up period (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>). This kind of study design may not provide a precise evaluation of the total PD glucose effect on the patients&#x2019; outcomes. At best, they only used baseline PD glucose concentration to predict mortality, and even then they reported inconsistent results. By including only subjects who had already shifted to HD, our study could precisely calculate total PD duration and PD dialyzate glucose exposure. Such a study design assists us to avoid the changes of both factors during the observation periods influencing the outcome. Considering the deeply interactive effect of PD duration and dialyzate glucose concentration on clinical outcomes, one cannot evaluate the effect of glucose exposure without correctly measuring PD duration. Based on controlling PD duration, our results cannot demonstrate that higher PD glucose concentration can increase mortality risk.</p>
<p>Peritoneal fibrosis is inevitable after exposure to bio-incompatible PD dialyzate; whereas, peritoneal technical failure usually occurs afterward. It remains unclear how the damage of peritoneum after exposure to PD dialyzate affects long-term outcomes. Both uremia and PD dialyzate exposure induce peritoneal membrane injury, and longer PD vintage is undoubtedly linked to the progressive morphological and histological change of the peritoneal membrane (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). In terms of the clinical outcome, however, our results did not support more prolonged PD treatment, or that higher glucose exposure increased mortality risk. The causes of mortality in PD are both numerous and complex. Indeed, age, CV disease, DM, PD peritonitis episodes, higher body mass index, higher alkaline phosphatase, inflammation, and anemia are all associated with PD mortality (<xref ref-type="bibr" rid="B32">32</xref>). The small effect size of PD duration and PD glucose load on mortality may be one of the reasons that the result was not significant in our study. However, one study reports a similar finding that higher blood sugar in non-DM PD patients was not associated with higher mortality (<xref ref-type="bibr" rid="B33">33</xref>). It is also worth noting that, prior to using our findings to make clinical decisions, one should be cognizant that not increasing mortality risk is not equivalent to less harm.</p>
<p>The strengths of this study are its design, and we have created three specific time cohorts of different fixed time-windows to avoid the time bias. We classified PD duration and glucose exposure concentration in the selected time-window and used them as the baseline dependent variables to avoid any time bias when performing the time-to-event analysis. This study also possesses certain limitations. First, this is a retrospective study from the NHIRD from 2004 to 2012 in Taiwan. There is no information on laboratory data, such as fasting glucose and glycated hemoglobin levels, and technical failure causes. Even the baseline patient characteristics, PD penetration, PD prescription, and PD policy did not change much after 2012, one should be careful when generalizing the results. Second, we calculated glucose concentration according to the PD solution prescription, but we could not ensure patients&#x2019; adherence, which could lead to overestimated glucose concentration exposure. Third, we excluded those who died under PD treatment, and this made the result unable to be applied to all patients with PD. The clinical application of our findings concerns determination of whether further PD treatment will increase mortality risk, and thus only those who survive in PD need to be considered. Fourth, we did not evaluate the effect of non-glucose peritoneal dialyzate solution, such as icodextrin. There is no sufficient evidence, however, to prove that these dialyzate solutions could improve the outcome. Fifth, based on our study design, some mortalities in the transition from PD to HD were not included for analysis since these events occurred in the fixed time windows. Finally, we have omitted HD-related covariates, such as vascular access type, HD compliance, and KT/V, for adjusting our COX model to predict all-cause mortality. However, we had put vascular access type and HD center size into the model for adjustment as a sensitive test and found similar results (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). A large prospective study is necessary to transcend the above limitations.</p>
<p>In conclusion, we selected incident patients with PD who had already shifted to HD to estimate glucose exposure precisely and included patients who survived longer than the time window to exclude time bias. We proved that neither PD duration nor glucose exposure increased the risk for all-cause mortality in the group of PD duration less than 4 years. The 4-year technical survival rate was 45% in the NHIRD, and this result may be interpreted as demonstrating the relative safety of glucose dialyzate use in more than half of patients with PD in Taiwan. Surprisingly, in the 4-year cohort, the DM subgroup had their PD duration significantly associated with mortality. It could be that higher mortality occurred in the transition from PD to HD was more included in the longer PD duration group based on our study design. We need a larger and longer dataset to confirm whether patients with DM have higher mortality if they stay in PD longer.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: The data underlying this study is from National Health Insurance Research Database (NHIRD). Due to restrictions placed on the data by Taiwan National Health Insurance, the minimal data set cannot be made publicly available. Requests to access these datasets should be directed to Pei-Yu Wu, <email>wpuw17@gmail.com</email>.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board of Kaohsiung Medical University Hospital, Kaohsiung Medical University, Taiwan (KMUHIRB-E(I)-20190137). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>P-YW, M-YL, S-JH, and Y-WC contributed to conceptualization. M-YL contributed to methodology. S-JH contributed to validation. P-YW contributed to investigation, writing&#x2014;original draft preparation, and project administration. Y-WC contributed to writing&#x2014;review and editing. Y-WC and S-JH contributed to supervision. P-YW and Y-WC contributed to funding acquisition. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the Ministry of Science and Technology (MOST:103-2314-B-037-033 and 104-2314-B-037-054), Kaohsiung Medical University Hospital (KMUH:103-3R10 and 104-4R11) to Y-WC, and Kaohsiung Medical University Hospital, Kaohsiung Medical University (Grant no.: KMUH104-4M06) to P-YW. The funders had no role in: the design and conduct of the study; the collection, management, analysis, and interpretation of the data; and the preparation, review, or approval of the manuscript. Some results of this study were presented in abstract format at the 2015 Annual Meeting of the Taiwan Society of Nephrology.</p>
</sec>
<sec id="S9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2022.897545/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2022.897545/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>S</given-names></name> <name><surname>Oh</surname> <given-names>J</given-names></name> <name><surname>Kim</surname> <given-names>S</given-names></name> <name><surname>Chung</surname> <given-names>W</given-names></name> <name><surname>Ahn</surname> <given-names>C</given-names></name> <name><surname>Kim</surname> <given-names>SG</given-names></name><etal/></person-group> <article-title>Benefits of biocompatible Pd fluid for preservation of residual renal function in incident Capd patients: a 1-year study.</article-title> <source><italic>Nephrol Dial Transplant.</italic></source> (<year>2009</year>) <volume>24</volume>:<fpage>2899</fpage>&#x2013;<lpage>908</lpage>. <pub-id pub-id-type="doi">10.1093/ndt/gfp054</pub-id> <pub-id pub-id-type="pmid">19258384</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lai</surname> <given-names>KN</given-names></name> <name><surname>Lam</surname> <given-names>MF</given-names></name> <name><surname>Leung</surname> <given-names>JC</given-names></name> <name><surname>Chan</surname> <given-names>LY</given-names></name> <name><surname>Lam</surname> <given-names>CW</given-names></name> <name><surname>Chan</surname> <given-names>IH</given-names></name><etal/></person-group> <article-title>A study of the clinical and biochemical profile of peritoneal dialysis fluid low in glucose degradation products.</article-title> <source><italic>Perit Dial Int.</italic></source> (<year>2012</year>) <volume>32</volume>:<fpage>280</fpage>&#x2013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.3747/pdi.2010.00176</pub-id> <pub-id pub-id-type="pmid">22045098</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cho</surname> <given-names>Y</given-names></name> <name><surname>Johnson</surname> <given-names>DW</given-names></name> <name><surname>Badve</surname> <given-names>S</given-names></name> <name><surname>Craig</surname> <given-names>JC</given-names></name> <name><surname>Strippoli</surname> <given-names>GF</given-names></name> <name><surname>Wiggins</surname> <given-names>KJ</given-names></name></person-group>. <article-title>Impact of icodextrin on clinical outcomes in peritoneal dialysis: a systematic review of randomized controlled trials.</article-title> <source><italic>Nephrol Dial Transplant.</italic></source> (<year>2013</year>) <volume>28</volume>:<fpage>1899</fpage>&#x2013;<lpage>907</lpage>. <pub-id pub-id-type="doi">10.1093/ndt/gft050</pub-id> <pub-id pub-id-type="pmid">23493329</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Szeto</surname> <given-names>CC</given-names></name> <name><surname>Kwan</surname> <given-names>BC</given-names></name> <name><surname>Chow</surname> <given-names>KM</given-names></name> <name><surname>Cheng</surname> <given-names>PM</given-names></name> <name><surname>Kwong</surname> <given-names>VW</given-names></name> <name><surname>Choy</surname> <given-names>AS</given-names></name><etal/></person-group> <article-title>The effect of neutral peritoneal dialysis solution with low glucose-degradation-product on the fluid status and body composition&#x2013;a randomized control trial.</article-title> <source><italic>PLoS One.</italic></source> (<year>2015</year>) <volume>10</volume>:<fpage>e0141425</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0141425</pub-id> <pub-id pub-id-type="pmid">26510186</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ito</surname> <given-names>T</given-names></name> <name><surname>Yorioka</surname> <given-names>N</given-names></name> <name><surname>Yamamoto</surname> <given-names>M</given-names></name> <name><surname>Kataoka</surname> <given-names>K</given-names></name> <name><surname>Yamakido</surname> <given-names>M</given-names></name></person-group>. <article-title>Effect of glucose on intercellular junctions of cultured human peritoneal mesothelial cells.</article-title> <source><italic>J Am Soc Nephrol.</italic></source> (<year>2000</year>) <volume>11</volume>:<fpage>1969</fpage>&#x2013;<lpage>79</lpage>.</citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cendoroglo</surname> <given-names>M</given-names></name> <name><surname>Sundaram</surname> <given-names>S</given-names></name> <name><surname>Jaber</surname> <given-names>BL</given-names></name> <name><surname>Pereira</surname> <given-names>BJ</given-names></name></person-group>. <article-title>Effect of glucose concentration, osmolality, and sterilization process of peritoneal dialysis fluids on cytokine production by peripheral blood mononuclear cells and polymorphonuclear cell functions in vitro.</article-title> <source><italic>Am J Kidney Dis.</italic></source> (<year>1998</year>) <volume>31</volume>:<fpage>273</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1053/ajkd.1998.v31.pm9469498</pub-id> <pub-id pub-id-type="pmid">9469498</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Witowski</surname> <given-names>J</given-names></name> <name><surname>Korybalska</surname> <given-names>K</given-names></name> <name><surname>Wisniewska</surname> <given-names>J</given-names></name> <name><surname>Breborowicz</surname> <given-names>A</given-names></name> <name><surname>Gahl</surname> <given-names>GM</given-names></name> <name><surname>Frei</surname> <given-names>U</given-names></name><etal/></person-group> <article-title>Effect of glucose degradation products on human peritoneal mesothelial cell function.</article-title> <source><italic>J Am Soc Nephrol.</italic></source> (<year>2000</year>) <volume>11</volume>:<fpage>729</fpage>&#x2013;<lpage>39</lpage>. <pub-id pub-id-type="doi">10.1681/ASN.V114729</pub-id> <pub-id pub-id-type="pmid">10752532</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boulanger</surname> <given-names>E</given-names></name> <name><surname>Wautier</surname> <given-names>MP</given-names></name> <name><surname>Wautier</surname> <given-names>JL</given-names></name> <name><surname>Boval</surname> <given-names>B</given-names></name> <name><surname>Panis</surname> <given-names>Y</given-names></name> <name><surname>Wernert</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>Ages bind to mesothelial cells via rage and stimulate Vcam-1 expression.</article-title> <source><italic>Kidney Int.</italic></source> (<year>2002</year>) <volume>61</volume>:<fpage>148</fpage>&#x2013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1046/j.1523-1755.2002.00115.x</pub-id> <pub-id pub-id-type="pmid">11786095</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakamura</surname> <given-names>S</given-names></name> <name><surname>Tachikawa</surname> <given-names>T</given-names></name> <name><surname>Tobita</surname> <given-names>K</given-names></name> <name><surname>Miyazaki</surname> <given-names>S</given-names></name> <name><surname>Sakai</surname> <given-names>S</given-names></name> <name><surname>Morita</surname> <given-names>T</given-names></name><etal/></person-group> <article-title>Role of advanced glycation end products and growth factors in peritoneal dysfunction in capd patients.</article-title> <source><italic>Am J Kidney Dis.</italic></source> (<year>2003</year>) <volume>41</volume>(<issue>3 Suppl 1</issue>):<fpage>S61</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1053/ajkd.2003.50087</pub-id> <pub-id pub-id-type="pmid">12612955</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Davies</surname> <given-names>SJ</given-names></name> <name><surname>Phillips</surname> <given-names>L</given-names></name> <name><surname>Naish</surname> <given-names>PF</given-names></name> <name><surname>Russell</surname> <given-names>GI</given-names></name></person-group>. <article-title>Peritoneal glucose exposure and changes in membrane solute transport with time on peritoneal dialysis.</article-title> <source><italic>J Am Soc Nephrol.</italic></source> (<year>2001</year>) <volume>12</volume>:<fpage>1046</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1681/ASN.V1251046</pub-id> <pub-id pub-id-type="pmid">11316864</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Szeto</surname> <given-names>CC</given-names></name> <name><surname>Kwan</surname> <given-names>BC</given-names></name> <name><surname>Chow</surname> <given-names>KM</given-names></name> <name><surname>Chung</surname> <given-names>S</given-names></name> <name><surname>Yu</surname> <given-names>V</given-names></name> <name><surname>Cheng</surname> <given-names>PM</given-names></name><etal/></person-group> <article-title>Predictors of residual renal function decline in patients undergoing continuous ambulatory peritoneal dialysis.</article-title> <source><italic>Perit Dial Int.</italic></source> (<year>2015</year>) <volume>35</volume>:<fpage>180</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.3747/pdi.2013.00075</pub-id> <pub-id pub-id-type="pmid">24497594</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>HY</given-names></name> <name><surname>Hung</surname> <given-names>KY</given-names></name> <name><surname>Huang</surname> <given-names>TM</given-names></name> <name><surname>Hu</surname> <given-names>FC</given-names></name> <name><surname>Peng</surname> <given-names>YS</given-names></name> <name><surname>Huang</surname> <given-names>JW</given-names></name><etal/></person-group> <article-title>Safety issues of long-term glucose load in patients on peritoneal dialysis&#x2013;a 7-year cohort study.</article-title> <source><italic>PLoS One.</italic></source> (<year>2012</year>) <volume>7</volume>:<fpage>e30337</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0030337</pub-id> <pub-id pub-id-type="pmid">22303440</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakayama</surname> <given-names>M</given-names></name> <name><surname>Kawaguchi</surname> <given-names>Y</given-names></name> <name><surname>Yamada</surname> <given-names>K</given-names></name> <name><surname>Hasegawa</surname> <given-names>T</given-names></name> <name><surname>Takazoe</surname> <given-names>K</given-names></name> <name><surname>Katoh</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>Immunohistochemical detection of advanced glycosylation end-products in the peritoneum and its possible pathophysiological role in Capd.</article-title> <source><italic>Kidney Int.</italic></source> (<year>1997</year>) <volume>51</volume>:<fpage>182</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1038/ki.1997.22</pub-id> <pub-id pub-id-type="pmid">8995732</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakamoto</surname> <given-names>H</given-names></name> <name><surname>Hamada</surname> <given-names>C</given-names></name> <name><surname>Shimaoka</surname> <given-names>T</given-names></name> <name><surname>Sekiguchi</surname> <given-names>Y</given-names></name> <name><surname>Io</surname> <given-names>H</given-names></name> <name><surname>Kaneko</surname> <given-names>K</given-names></name><etal/></person-group> <article-title>Accumulation of advanced glycation end products and beta 2-microglobulin in fibrotic thickening of the peritoneum in long-term peritoneal dialysis patients.</article-title> <source><italic>J Artif Organs.</italic></source> (<year>2014</year>) <volume>17</volume>:<fpage>60</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1007/s10047-013-0741-1</pub-id> <pub-id pub-id-type="pmid">24337623</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname> <given-names>MC</given-names></name> <name><surname>Simpson</surname> <given-names>K</given-names></name> <name><surname>Kerssens</surname> <given-names>JJ</given-names></name> <name><surname>Mactier</surname> <given-names>RA</given-names></name> <name><surname>Scottish Renal</surname> <given-names>R</given-names></name></person-group>. <article-title>Encapsulating peritoneal sclerosis in the new millennium: a national cohort study.</article-title> <source><italic>Clin J Am Soc Nephrol.</italic></source> (<year>2009</year>) <volume>4</volume>:<fpage>1222</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.2215/CJN.01260209</pub-id> <pub-id pub-id-type="pmid">19541815</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kawanishi</surname> <given-names>H</given-names></name> <name><surname>Kawaguchi</surname> <given-names>Y</given-names></name> <name><surname>Fukui</surname> <given-names>H</given-names></name> <name><surname>Hara</surname> <given-names>S</given-names></name> <name><surname>Imada</surname> <given-names>A</given-names></name> <name><surname>Kubo</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Encapsulating peritoneal sclerosis in japan: a prospective, controlled, multicenter study.</article-title> <source><italic>Am J Kidney Dis.</italic></source> (<year>2004</year>) <volume>44</volume>:<fpage>729</fpage>&#x2013;<lpage>37</lpage>.</citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname> <given-names>EA</given-names></name> <name><surname>Bargman</surname> <given-names>J</given-names></name> <name><surname>van Biesen</surname> <given-names>W</given-names></name> <name><surname>Chang</surname> <given-names>MY</given-names></name> <name><surname>Finkelstein</surname> <given-names>FO</given-names></name> <name><surname>Hurst</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Length of time on peritoneal dialysis and encapsulating peritoneal sclerosis - position paper for ispd: 2017 update.</article-title> <source><italic>Perit Dial Int.</italic></source> (<year>2017</year>) <volume>37</volume>:<fpage>362</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.3747/pdi.2017.00018</pub-id> <pub-id pub-id-type="pmid">28676507</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>HY</given-names></name> <name><surname>Hung</surname> <given-names>KY</given-names></name> <name><surname>Huang</surname> <given-names>JW</given-names></name> <name><surname>Chen</surname> <given-names>YM</given-names></name> <name><surname>Tsai</surname> <given-names>TJ</given-names></name> <name><surname>Wu</surname> <given-names>KD</given-names></name></person-group>. <article-title>Initial glucose load predicts technique survival in patients on chronic peritoneal dialysis.</article-title> <source><italic>Am J Nephrol.</italic></source> (<year>2008</year>) <volume>28</volume>:<fpage>765</fpage>&#x2013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1159/000128608</pub-id> <pub-id pub-id-type="pmid">18434715</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wen</surname> <given-names>Y</given-names></name> <name><surname>Guo</surname> <given-names>Q</given-names></name> <name><surname>Yang</surname> <given-names>X</given-names></name> <name><surname>Wu</surname> <given-names>X</given-names></name> <name><surname>Feng</surname> <given-names>S</given-names></name> <name><surname>Tan</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>High glucose concentrations in peritoneal dialysate are associated with all-cause and cardiovascular disease mortality in continuous ambulatory peritoneal dialysis patients.</article-title> <source><italic>Perit Dial Int.</italic></source> (<year>2015</year>) <volume>35</volume>:<fpage>70</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.3747/pdi.2013.00083</pub-id> <pub-id pub-id-type="pmid">24293666</pub-id></citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Radunz</surname> <given-names>V</given-names></name> <name><surname>Pecoits-Filho</surname> <given-names>R</given-names></name> <name><surname>Figueiredo</surname> <given-names>AE</given-names></name> <name><surname>Barretti</surname> <given-names>P</given-names></name> <name><surname>de Moraes</surname> <given-names>TP</given-names></name></person-group>. <article-title>Impact of glucose exposure on outcomes of a nation-wide peritoneal dialysis cohort - results of the Brazpd Ii cohort.</article-title> <source><italic>Front Physiol.</italic></source> (<year>2019</year>) <volume>10</volume>:<fpage>150</fpage>. <pub-id pub-id-type="doi">10.3389/fphys.2019.00150</pub-id> <pub-id pub-id-type="pmid">30890947</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Abe</surname> <given-names>M</given-names></name> <name><surname>Hamano</surname> <given-names>T</given-names></name> <name><surname>Hoshino</surname> <given-names>J</given-names></name> <name><surname>Wada</surname> <given-names>A</given-names></name> <name><surname>Nakai</surname> <given-names>S</given-names></name> <name><surname>Hanafusa</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>Predictors of outcomes in patients on peritoneal dialysis: a 2-year nationwide cohort study.</article-title> <source><italic>Sci Rep.</italic></source> (<year>2019</year>) <volume>9</volume>:<fpage>3967</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-019-40692-6</pub-id> <pub-id pub-id-type="pmid">30850727</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Park</surname> <given-names>JY</given-names></name> <name><surname>Cho</surname> <given-names>JH</given-names></name> <name><surname>Jang</surname> <given-names>HM</given-names></name> <name><surname>Kim</surname> <given-names>YS</given-names></name> <name><surname>Kang</surname> <given-names>SW</given-names></name> <name><surname>Yang</surname> <given-names>CW</given-names></name><etal/></person-group> <article-title>Survival predictors in anuric patients on peritoneal dialysis: a prospective, multicenter, propensity score-matched cohort study.</article-title> <source><italic>PLoS One.</italic></source> (<year>2018</year>) <volume>13</volume>:<fpage>e0196294</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0196294</pub-id> <pub-id pub-id-type="pmid">29694445</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hsieh</surname> <given-names>C-Y</given-names></name> <name><surname>Su</surname> <given-names>C-C</given-names></name> <name><surname>Shao</surname> <given-names>S-C</given-names></name> <name><surname>Sung</surname> <given-names>S-F</given-names></name> <name><surname>Lin</surname> <given-names>S-J</given-names></name> <name><surname>Yang</surname> <given-names>Y-HK</given-names></name><etal/></person-group> <article-title>Taiwan&#x2019;s national health insurance research database: past and future.</article-title> <source><italic>Clin Epidemiol.</italic></source> (<year>2019</year>) <volume>11</volume>:<fpage>349</fpage>. <pub-id pub-id-type="doi">10.2147/CLEP.S196293</pub-id> <pub-id pub-id-type="pmid">31118821</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Deyo</surname> <given-names>RA</given-names></name> <name><surname>Cherkin</surname> <given-names>DC</given-names></name> <name><surname>Ciol</surname> <given-names>MA</given-names></name></person-group>. <article-title>Adapting a clinical comorbidity index for use with Icd-9-Cm administrative databases.</article-title> <source><italic>J Clin Epidemiol.</italic></source> (<year>1992</year>) <volume>45</volume>:<fpage>613</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/0895-4356(92)90133-8</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname> <given-names>D</given-names></name> <name><surname>Yan</surname> <given-names>H</given-names></name> <name><surname>Yang</surname> <given-names>X</given-names></name> <name><surname>Yu</surname> <given-names>Z</given-names></name> <name><surname>Ni</surname> <given-names>Z</given-names></name> <name><surname>Fang</surname> <given-names>W</given-names></name></person-group>. <article-title>Abdominal aortic calcification score as a predictor of clinical outcome in peritoneal dialysis patients: a prospective cohort study.</article-title> <source><italic>BMC Nephrol.</italic></source> (<year>2020</year>) <volume>21</volume>:<fpage>151</fpage>. <pub-id pub-id-type="doi">10.1186/s12882-020-01822-9</pub-id> <pub-id pub-id-type="pmid">32349690</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jiang</surname> <given-names>N</given-names></name> <name><surname>Zhang</surname> <given-names>Z</given-names></name> <name><surname>Fang</surname> <given-names>W</given-names></name> <name><surname>Qian</surname> <given-names>J</given-names></name> <name><surname>Mou</surname> <given-names>S</given-names></name> <name><surname>Ni</surname> <given-names>Z</given-names></name></person-group>. <article-title>High peritoneal glucose exposure is associated with increased incidence of relapsing and recurrent bacterial peritonitis in patients undergoing peritoneal dialysis.</article-title> <source><italic>Blood Purif.</italic></source> (<year>2015</year>) <volume>40</volume>:<fpage>72</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1159/000381663</pub-id> <pub-id pub-id-type="pmid">26138314</pub-id></citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williams</surname> <given-names>JD</given-names></name> <name><surname>Craig</surname> <given-names>KJ</given-names></name> <name><surname>Topley</surname> <given-names>N</given-names></name> <name><surname>Von Ruhland</surname> <given-names>C</given-names></name> <name><surname>Fallon</surname> <given-names>M</given-names></name> <name><surname>Newman</surname> <given-names>GR</given-names></name><etal/></person-group> <article-title>Morphologic changes in the peritoneal membrane of patients with renal disease.</article-title> <source><italic>J Am Soc Nephrol.</italic></source> (<year>2002</year>) <volume>13</volume>:<fpage>470</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1681/ASN.V132470</pub-id> <pub-id pub-id-type="pmid">11805177</pub-id></citation></ref>
<ref id="B28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hara</surname> <given-names>K</given-names></name> <name><surname>Io</surname> <given-names>H</given-names></name> <name><surname>Wakabayashi</surname> <given-names>K</given-names></name> <name><surname>Maeda</surname> <given-names>T</given-names></name> <name><surname>Kanda</surname> <given-names>R</given-names></name> <name><surname>Nakata</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>Multicenter laparoscopic evaluation of the peritoneum in peritoneal dialysis patients.</article-title> <source><italic>Semin Dial.</italic></source> (<year>2020</year>) <volume>33</volume>:<fpage>170</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1111/sdi.12870</pub-id> <pub-id pub-id-type="pmid">32180272</pub-id></citation></ref>
<ref id="B29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aroeira</surname> <given-names>LS</given-names></name> <name><surname>Loureiro</surname> <given-names>J</given-names></name> <name><surname>Gonzalez-Mateo</surname> <given-names>GT</given-names></name> <name><surname>Fernandez-Millara</surname> <given-names>V</given-names></name> <name><surname>del Peso</surname> <given-names>G</given-names></name> <name><surname>Sanchez-Tomero</surname> <given-names>JA</given-names></name><etal/></person-group> <article-title>Characterization of epithelial-to-mesenchymal transition of mesothelial cells in a mouse model of chronic peritoneal exposure to high glucose dialysate.</article-title> <source><italic>Perit Dial Int.</italic></source> (<year>2008</year>) <volume>28</volume>(<issue>Suppl 5</issue>):<fpage>S29</fpage>&#x2013;<lpage>33</lpage>.</citation></ref>
<ref id="B30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jiang</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>P</given-names></name> <name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>Yu</surname> <given-names>X</given-names></name> <name><surname>Xie</surname> <given-names>D</given-names></name> <name><surname>Mei</surname> <given-names>C</given-names></name><etal/></person-group> <article-title>Accumulation of tissue advanced glycation end products correlated with glucose exposure dose and associated with cardiovascular morbidity in patients on peritoneal dialysis.</article-title> <source><italic>Atherosclerosis.</italic></source> (<year>2012</year>) <volume>224</volume>:<fpage>187</fpage>&#x2013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2012.06.022</pub-id> <pub-id pub-id-type="pmid">22857897</pub-id></citation></ref>
<ref id="B31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bartosova</surname> <given-names>M</given-names></name> <name><surname>Schaefer</surname> <given-names>B</given-names></name> <name><surname>Vondrak</surname> <given-names>K</given-names></name> <name><surname>Sallay</surname> <given-names>P</given-names></name> <name><surname>Taylan</surname> <given-names>C</given-names></name> <name><surname>Cerkauskiene</surname> <given-names>R</given-names></name><etal/></person-group> <article-title>Peritoneal dialysis vintage and glucose exposure but not peritonitis episodes drive peritoneal membrane transformation during the first years of Pd.</article-title> <source><italic>Front Physiol.</italic></source> (<year>2019</year>) <volume>10</volume>:<fpage>356</fpage>. <pub-id pub-id-type="doi">10.3389/fphys.2019.00356</pub-id> <pub-id pub-id-type="pmid">31001140</pub-id></citation></ref>
<ref id="B32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>J</given-names></name> <name><surname>Lu</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>H</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name></person-group>. <article-title>Risk factors for mortality in patients undergoing peritoneal dialysis: a systematic review and meta-analysis.</article-title> <source><italic>Ren Fail.</italic></source> (<year>2021</year>) <volume>43</volume>:<fpage>743</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1080/0886022X.2021.1918558</pub-id> <pub-id pub-id-type="pmid">33913381</pub-id></citation></ref>
<ref id="B33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lambie</surname> <given-names>M</given-names></name> <name><surname>Chess</surname> <given-names>J</given-names></name> <name><surname>Do</surname> <given-names>JY</given-names></name> <name><surname>Noh</surname> <given-names>H</given-names></name> <name><surname>Lee</surname> <given-names>HB</given-names></name> <name><surname>Kim</surname> <given-names>YL</given-names></name><etal/></person-group> <article-title>Peritoneal dialysate glucose load and systemic glucose metabolism in non-diabetics: results from the global fluid cohort study.</article-title> <source><italic>PLoS One.</italic></source> (<year>2016</year>) <volume>11</volume>:<fpage>e0155564</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0155564</pub-id> <pub-id pub-id-type="pmid">27249020</pub-id></citation></ref>
</ref-list>
</back>
</article>
