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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2022.870317</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Potential Value of Serum Lipid in the Identication of Postoperative Delirium Undergoing Knee/Hip Arthroplasty: The Perioperative Neurocognitive Disorder and Biomarker Lifestyle Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Yanan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Peng</surname> <given-names>Xiaoyan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lin</surname> <given-names>Xu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/934599/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Deng</surname> <given-names>Xiyuan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Fanghao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1375594/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tao</surname> <given-names>He</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Dong</surname> <given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bi</surname> <given-names>Yanlin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1229979/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Anesthesiology, Dalian Medical University</institution>, <addr-line>Dalian</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Anesthesiology, Drum Tower Hospital Affiliated to Nanjing University Medical School</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Yiying Zhang, Massachusetts General Hospital and Harvard Medical School, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Wenyu Song, Brigham and Women&#x2019;s Hospital and Harvard Medical School, United States; Biyue Zhu, Massachusetts General Hospital and Harvard Medical School, United States; Xiaoyu Yang, University of California, San Francisco, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xu Lin, <email>linxu_green@126.com</email></corresp>
<corresp id="c002">Bin Wang, <email>wangbin328@sina.com</email></corresp>
<corresp id="c003">Yanlin Bi, <email>pndable2021@sina.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Psychopharmacology, a section of the journal Frontiers in Psychiatry</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>870317</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Lin, Peng, Lin, Deng, Liu, Tao, Dong, Wang and Bi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Lin, Peng, Lin, Deng, Liu, Tao, Dong, Wang and Bi</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>Objective</title>
<p>We aimed to investigate the relationship between preoperative lipid level and postoperative delirium (POD) and explore whether lipid&#x2019;s effect on POD is mediated by POD core protein.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 635 patients who were planned to undergo knee/hip arthroplasty under combined spinal-epidural anesthesia, regardless of gender, were selected. The patients were aged 40&#x2013;90 years with American Society of Anesthesiologists physical status I II. The Mini-Mental State Examination (MMSE) was completed 1 day before the operation. Five milliliter elbow venous blood was taken from the patients before anesthesia, and serum levels of total cholesterol (TG), triglyceride (TC), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C) were detected. Cerebrospinal fluid (CSF) was extracted after successful spinal-epidural combined puncture, and amyloid beta<sub>40</sub> (A&#x03B2;<sub>40</sub>), amyloid beta<sub>42</sub> (A&#x03B2;<sub>42</sub>), total Tau (t-Tau), and phosphorylated Tau (p-Tau) in the CSF were measured by enzyme-linked immunosorbent assays (ELISA). After the operation, the occurrence and severity of POD were assessed using the Confusion Assessment Method and the Memorial Delirium Assessment Scale (MDAS), respectively. Patients were categorized into POD group and NPOD group. Logistic regression was used to analyze the relationship between POD and TC, TG, LDL-C, and HDL-C, and the mediating effect was used to analyze the role of POD core proteins in the relationship between lipid and MDAS. We used the receiver operating characteristic (ROC) and the precision-recall curve (PRC) analysis to assess the ability of TC, TG, LDL-C, and HDL-C ability to predict POD. Finally, we performed a sensitivity analysis to assess the stability of the results.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 562 patients were finally enrolled in this study, and 66 patients developed POD, with an incidence of 11.7%. Logistic regression analysis showed that high concentration of TC (OR = 3.148, 95%CI 1.858&#x223C;5.333, <italic>P</italic> &#x003C; 0.001), TG (OR = 2.483, 95%CI 1.573&#x223C;3.918, <italic>P</italic> &#x003C; 0.001), and LDL-C (OR = 2.469, 95%CI 1.310&#x223C;4.656, <italic>P</italic> = 0.005) in serum were risk factors for POD. A high concentration of HDL-C (OR = 0.258, 95%CI 0.112&#x223C;0.594, <italic>P</italic> = 0.001) was a protective factor for POD after adjusted for age, sex, education, and MMSE score. ROC curves showed that HDL-C have the highest sensitivity and specificity in predicting POD. For these four lipid markers, the PRC range from 0.602 to 0.731, respectively. The mediating analysis showed that POD core proteins could partially mediate the relationship between lipid and POD (effect value: 16.19&#x223C;91.04%). The results were barely changed in the sensitivity analysis, and the sensitivity analysis has shown that the results were stable.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The increase of serum TG, TC, and LDL-C concentration is a risk factor for POD development, while high HDL-C concentration is a protective factor for POD, and the occurrence of POD is caused by hyperlipidemia may be caused by POD core proteins.</p>
</sec>
<sec>
<title>Clinical Trial Registration</title>
<p>[<ext-link ext-link-type="uri" xlink:href="http://www.ClinicalTrials.gov">www.ClinicalTrials.gov</ext-link>], identifier [Chictr200033439].</p>
</sec>
</abstract>
<kwd-group>
<kwd>delirium</kwd>
<kwd>triglycerides (TG)</kwd>
<kwd>cholesterol</kwd>
<kwd>low-density lipoprotein (LDL)</kwd>
<kwd>high-density lipoprotein (HDL)</kwd>
<kwd>mediation effect</kwd>
</kwd-group>
<contract-num rid="cn001">82001132</contract-num>
<contract-sponsor id="cn001">National Outstanding Youth Science Fund Project of National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/100014717</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="10"/>
<word-count count="6511"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Postoperative delirium (POD) is one of the most common complications in patients after surgery. POD may bring about a decline in cognitive ability, impair environmental interpretation, attention-deficit disorder, and dyssomnia (<xref ref-type="bibr" rid="B1">1</xref>). Moreover, it can ultimately lead to adverse outcomes such as an increased incidence of postoperative complications, more extended hospital stays, increased medical costs, and increased postoperative mortality (<xref ref-type="bibr" rid="B2">2</xref>). In consequence, it is of great importance to explore the effective forecasting methods for POD occurrence.</p>
<p>Metabolic disorder of blood lipids is also familiar in senior citizens. Some researchers found that hemorheology was associated with cognitive decline (<xref ref-type="bibr" rid="B3">3</xref>). Hyperlipidemia can lead to abnormal deposition of lipids in vascular endothelium and formation of atherosclerosis, damage the blood-brain barrier, resulting in abnormal accumulation of lipids in the brain, finally leading to the occurrence of neurodegenerative diseases. Changes in lipid-related metabolism and transport levels played a role in the prediction of Alzheimer&#x2019;s disease (AD) (<xref ref-type="bibr" rid="B4">4</xref>), and plasma lipid metabolism levels in patients with cognitive impairment were also apparent differences from those in the normal subjects (<xref ref-type="bibr" rid="B5">5</xref>). Furthermore, elevated plasma triglyceride levels precede Amyloid-beta (A&#x03B2;) protein deposition (<xref ref-type="bibr" rid="B6">6</xref>), the value of triglyceride in predicting the occurrence of AD is not negligible. Hypercholesterolemia can exacerbate A&#x03B2; protein deposition in animal models (<xref ref-type="bibr" rid="B7">7</xref>), while in humans, lowering cholesterol levels can reduce the A&#x03B2; burden and reduce AD occurrence (<xref ref-type="bibr" rid="B8">8</xref>). A Retrospective cohort study shows that high cholesterol increases the risk of dementia (<xref ref-type="bibr" rid="B9">9</xref>). A&#x03B2; abnormal deposition is proportional to neurotoxicity (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>), abnormally phosphorylated tau protein deposited in cells to can form neurofibrillary tangles, which all can cause neurodegeneration finally (<xref ref-type="bibr" rid="B12">12</xref>). It is a neurodegenerative disease with AD, and delirium pathophysiology is similar to AD (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). For the time being, however, there is still a lack of studies concerning whether A&#x03B2; and tau could modulate the relationships of hemorheology with POD.</p>
<p>Thus, we aimed to investigate the relevance between lipid levels and POD, test whether the influences of lipids on delirium were mediated by POD core pathology. All these analyses were conducted based on the Perioperative Neurocognitive Disorder and Biomarker Lifestyle (PNDABLE) study.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Participants</title>
<p>A total of 635 Han Chinese patients who were planned to undergo knee or hip arthroplasty under combined spinal-epidural anesthesia were selected from the PNDABLE study. The trial was carried out at Qingdao Municipal Hospital in Shandong Province, China. The PNDABLE study is an ongoing, large-sample cohort study that began in 2018 to explore the pathogenesis, risk factors, and biomarkers of perioperative neurocognitive dysfunction (PND) in the Han Chinese population in northern China for early detection, diagnosis, and intervention of PND. Cerebrospinal fluid (CSF) and blood samples were collected from all enrolled patients after they signed informed consent. The Ethics Committee (Ethical Committee N 2020 <italic>PRO FORMA</italic> Y number 005) approved this study of Qingdao Municipal Hospital.</p>
<p>We included the following patients: (1) The patients were aged 40 90 years old; (2) American Society of Anesthesiologists physical status(ASA)I&#x223C;II; (3) The patients had intact preoperative cognitive function without communication disorders; (4) The patients had sufficient education to complete the preoperative neuropsychological tests. Exclusion criteria included: (1) Mini-Mental State Examination (MMSE) scores of 23 or less; (2) ASA III or higher level; (3) Serious psychological disorders; (4) Severe systemic diseases that may affect related biomarkers in CSF or blood, including but not limited to malignant tumors; (5) Familial genetic diseases; (6) Coagulation dysfunction (possibly due to the long-term use of anticoagulants);</p>
</sec>
<sec id="S2.SS2">
<title>Cognitive Measurements</title>
<p>The MMSE was used to evaluate the basic cognitive level of the patients the day before surgery. The Confusion Assessment Method (CAM) (<xref ref-type="bibr" rid="B15">15</xref>) was used to evaluate the postoperative cognitive level at 9:00&#x2013;10:00 a.m. and at 2:00&#x2013;3:00 p.m. twice a day on 1&#x2013;7 days (or before discharge) by an anesthesiologist post-operatively. The diagnostic criteria for POD were as follows: &#x2460; acute changes and repeated fluctuations in the state of consciousness; &#x2461; lack of attention; &#x2462; disorganized thinking; &#x2463; alterations in the level of consciousness. CAM was determined to be positive if both &#x2460; and &#x2461; were present on any day, and at the same time either &#x2462; or &#x2463; was met. According to the assessment results, they were divided into the POD group and the NPOD group. Moreover, the POD severity was assessed using the MDAS (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="S2.SS3">
<title>Anesthesia and Surgery</title>
<p>All the patients did not need any medication preoperatively. After the patients entered the operating room, peripheral veins were opened, and the same team of surgeons performed knee or hip arthroplasty. ECG, pulse blood oxygen saturation monitoring, and non-invasive arterial pressure measurement were routinely conducted. After the preparation was completed, the spinal and epidural anesthesia was performed in the lateral decubitus under L<sub>3&#x223C;4</sub> space. After a successful puncture, 0.67% ropivacaine 2.0 &#x223C; 2.5 ml was injected into the subarachnoid space, and then 3&#x2013;5 ml 2% lidocaine was added into the epidural catheter according to actual needs to maintain the level of anesthesia at T<sub>8</sub> &#x223C; S<sub>5</sub>. If the intraoperative systolic blood pressure of the patient was &#x003C; 90 mmHg, intravenous ephedrine 6 mg was given; If the patient&#x2019;s heart rate was &#x003C; 50 bpm, an intravenous injection of atropine 0.5 mg was given. Every patient was treated with a patient-controlled intravenous analgesia pump (Tropisetron 5 mg + Butorphanol Tartrate Injection 10 mg, diluted to 100 ml with normal saline at a rate of 2 ml/h) for 48 h postoperatively. After the operation, the patient was sent to the recovery room, observed for 30 min, and sent back to the ward if there was no abnormality. The duration of surgery, duration of anesthesia, intraoperative blood loss, and fluid input were recorded.</p>
</sec>
<sec id="S2.SS4">
<title>Measurements of Cerebrospinal Fluid Sampling and Blood Sampling</title>
<p>After successful spinal-epidural anesthesia puncture, 2 ml of CSF was taken in 10 mL polypropylene tubes and sent to the laboratory within 2 h. The CSF samples were immediately centrifuged at 2,000 g at room temperature for 10 min and then stored at -80&#x00B0;C for further analysis. The levels of A&#x03B2;<sub>40</sub>, A&#x03B2;<sub>42</sub>, t-Tau and p-Tau in CSF were determined by enzyme-linked immunosorbent assays (ELISAs) on the microplate reader. CSF biomarkers of POD measurements were done with ELISA kits [A&#x03B2;<sub>42</sub> (BioVendor, Ghent, Belgium Lot: No. 296-64401), P-tau (BioVendor, Ghent, Belgium Lot: QY-PF9092) and T-tau (BioVendor, Ghent, Belgium Lot: No. EK-H12242)]. All CSF samples were randomly distributed on the same batch of plates. All experimental procedures were performed by researchers who were blinded to patient information. All the antibodies and plates were from a single lot to exclude variability between batches. Moreover, the within-batch CV was &#x003C; 5% and the inter-batch CV was &#x003C; 15%.</p>
<p>After fasting for at least 8 h, the patient entered the operating room, and 5 ml of medial cubital vein blood was drawn. Venous blood was collected into vacuum tube, which was then measured by the hospital&#x2019;s laboratory staff. Serum concentrations of total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C) were measured under standardized research protocols using an automatic biochemical analyzer (DURUI CS-600B, China).</p>
</sec>
<sec id="S2.SS5">
<title>Statistical Analysis</title>
<p>SPSS statistical software, version 25.0 (SPSS, Inc., Chicago, IL, United States), and Medcalc software (version 20.0.1, Ostend, Belgium) were used for data analysis. Continuous variables were expressed as median and interquartile range (M, IQR), and compared using Mann-Whitney <italic>U-</italic>test. Categorical variables will be tested for baseline comparability with the chi-square test or Fisher&#x2019;s exact test, expressed in frequency and percentage. To evaluate potential risk factors for POD, we used logistic regression analysis without and with adjustment for age, sex, education, and MMSE score. We also used the receiver operating characteristic (ROC) and the precision-recall curve (PRC) analysis to assess the ability of TG, TC, HDL-C, and LDL-C for predicting POD.</p>
<p>The mediation effect was also evaluated by PROCESS macro Version2.16.3. Statistical significance of the mediating effect was set at zero, which was not encompassed in the 95% CI. where each path of the model was controlled for age, sex, education, and MMSE score.</p>
<p>In addition, a sensitivity analysis was performed to assess the results stability. Sensitivity analysis was carried out as follows: First, we analyzed whether the association would change if only individuals who were aged over 65 at the baseline were selected; Secondly, we added more covariates, including self-reported history of type 2 diabetes (yes or no) and hypertension (yes or no).</p>
<p>The expected sensitivity was 80%, the expected specificity was 50%, and the allowable errors were all 0.05. Bilateral test was required, &#x03B1; was 0.05, and the missed visit ratio was calculated as 20%. The minimum sample size calculated by PASS software was 503.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Participant Characteristics</title>
<p>Among the 635 eligible patients, a total of 562 patients were finally included in this study. In the 562 patients, there were 66 POD cases, with an incidence of 11.7%, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The incidence density sampling was used for the comparison between the POD group and the non-POD group, and 1:1 matching was performed on 5 variables, including ASA physical status, duration of surgery, duration of anesthesia, intraoperative blood loss, and fluid input.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Flow diagram.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-870317-g001.tif"/>
</fig>
<p>The general conditions of the POD group and the NPOD group were compared (<xref ref-type="table" rid="T1">Table 1</xref>). There was no statistical significance in years of education, preoperative MMSE score, history of diabetes, or history of hypertension (<italic>P</italic> &#x003E; 0.05), while the differences in sex, age, Serum TC, TG, LDL-C, HDL-C, CSF A&#x03B2;<sub>40</sub>, A&#x03B2;<sub>42</sub>, t-Tau, p-Tau, A&#x03B2;<sub>42</sub>/A&#x03B2;<sub>40</sub>, A&#x03B2;<sub>42</sub>/t-Tau, A&#x03B2;<sub>42</sub>/p-Tau, A&#x03B2;<sub>40</sub>/t-Tau, A&#x03B2;<sub>40</sub>/p-Tau, t-Tau/p-Tau, and Postoperative MDAS score were statistically significant (<italic>P</italic> &#x003C; 0.05).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Demographic and clinical characteristics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Participant features</td>
<td valign="top" align="center">NPOD (<italic>n</italic> = 66)</td>
<td valign="top" align="center">POD (<italic>n</italic> = 66)</td>
<td valign="top" align="left"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (%)</td>
<td valign="top" align="center">46(69.7%)</td>
<td valign="top" align="center">33(50%)</td>
<td valign="top" align="left">0.021</td>
</tr>
<tr>
<td valign="top" align="left">Age (year)</td>
<td valign="top" align="center">&#x2003;&#x2003;&#x2003;61(53.75&#x2212;69.25)</td>
<td valign="top" align="center">&#x2003;&#x2003;&#x2003;68(57.00&#x2212;71.00)</td>
<td valign="top" align="left">0.043</td>
</tr>
<tr>
<td valign="top" align="left">ASA physical status I, <italic>n</italic> (%)</td>
<td valign="top" align="center">58(87.9%)</td>
<td valign="top" align="center">&#x2003;51(77.3%)</td>
<td valign="top" align="left">0.108</td>
</tr>
<tr>
<td valign="top" align="left">History of hypertension, <italic>n</italic> (%)</td>
<td valign="top" align="center">21(31.8%)</td>
<td valign="top" align="center">&#x2003;30(45.5%)</td>
<td valign="top" align="left">0.108</td>
</tr>
<tr>
<td valign="top" align="left">History of diabetes, <italic>n</italic> (%)</td>
<td valign="top" align="center">11(16.7%)</td>
<td valign="top" align="center">&#x2003;16(24.2%)</td>
<td valign="top" align="left">0.281</td>
</tr>
<tr>
<td valign="top" align="left">Years of education (year)</td>
<td valign="top" align="center">12(9&#x2212;14)</td>
<td valign="top" align="center">&#x2003;9(6&#x2212;15)</td>
<td valign="top" align="left">0.392</td>
</tr>
<tr>
<td valign="top" align="left">Preoperative MMSE score</td>
<td valign="top" align="center">&#x2003;28(26.75&#x2212;30)</td>
<td valign="top" align="center">&#x2003;28(25.75&#x2212;29)</td>
<td valign="top" align="left">0.129</td>
</tr>
<tr>
<td valign="top" align="left">Serum TC (mmol/L)</td>
<td valign="top" align="center">&#x2003;4.59(3.89&#x2212;5.00)</td>
<td valign="top" align="center">&#x2003;5.28(4.46&#x2212;5.69)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Serum TG (mmol/L)</td>
<td valign="top" align="center">&#x2003;1.26(0.97&#x2212;1.77)</td>
<td valign="top" align="center">&#x2003;2.09(1.39&#x2212;2.92)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Serum HDL-C (mmol/L)</td>
<td valign="top" align="center">&#x2003;1.22(1.18&#x2212;2.29)</td>
<td valign="top" align="center">&#x2003;1.18(1.01&#x2212;1.39)</td>
<td valign="top" align="left">0.018</td>
</tr>
<tr>
<td valign="top" align="left">Serum LDL-C (mmol/L)</td>
<td valign="top" align="center">&#x2003;2.71(2.34&#x2212;3.04)</td>
<td valign="top" align="center">&#x2003;2.76(2.51&#x2212;3.34)</td>
<td valign="top" align="left">0.033</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>40</sub> (100 pg/mL)</td>
<td valign="top" align="center">&#x2003;37.35(26.86&#x2212;49.74)</td>
<td valign="top" align="center">&#x2003;48.58(29.32&#x2212;61.12)</td>
<td valign="top" align="left">0.032</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub> (pg/mL)</td>
<td valign="top" align="center">&#x2003;277.54(215.75&#x2212;308.03)</td>
<td valign="top" align="center">&#x2003;142.57(114.29&#x2212;184.02)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF t-Tau (pg/mL)</td>
<td valign="top" align="center">&#x2003;167.02(141.30&#x2212;252.79)</td>
<td valign="top" align="center">&#x2003;601.64(512.25&#x2212;671.19)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF p-Tau (pg/mL)</td>
<td valign="top" align="center">&#x2003;31.54(29.12&#x2212;41.99)</td>
<td valign="top" align="center">&#x2003;82.03(75.84&#x2212;90.05)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub>/A&#x03B2;<sub>40</sub></td>
<td valign="top" align="center">&#x2003;0.07(0.05&#x2212;0.13)</td>
<td valign="top" align="center">&#x2003;0.03(0.02&#x2212;0.05)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub>/t-Tau</td>
<td valign="top" align="center">&#x2003;1.52(1.01&#x2212;2.09)</td>
<td valign="top" align="center">&#x2003;0.24(0.19&#x2212;0.34)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub>/p-Tau</td>
<td valign="top" align="center">&#x2003;8.56(6.01&#x2212;10.58)</td>
<td valign="top" align="center">&#x2003;1.81(1.42&#x2212;2.26)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>40</sub>/t-Tau</td>
<td valign="top" align="center">&#x2003;20.91(12.39&#x2212;31.79)</td>
<td valign="top" align="center">&#x2003;7.94(4.73&#x2212;11.79)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>40</sub>/p-Tau</td>
<td valign="top" align="center">&#x2003;109.24(75.10&#x2212;146.84)</td>
<td valign="top" align="center">&#x2003;58.51(35.32&#x2212;82.11)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CSF t-Tau/p-Tau</td>
<td valign="top" align="center">&#x2003;4.93(4.38&#x2212;5.75)</td>
<td valign="top" align="center">&#x2003;7.22(6.29&#x2212;8.26)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Postoperative MDAS score</td>
<td valign="top" align="center">&#x2003;4.50(3.00&#x2212;7.00)</td>
<td valign="top" align="center">&#x2003;18.00(17.00&#x2212;20.00)</td>
<td valign="top" align="left">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Duration of surgery (min)</td>
<td valign="top" align="center">&#x2003;110(90&#x2212;151.25)</td>
<td valign="top" align="center">&#x2003;110(90&#x2212;138.75)</td>
<td valign="top" align="left">0.507</td>
</tr>
<tr>
<td valign="top" align="left">Duration of anesthesia (min)</td>
<td valign="top" align="center">&#x2003;170(135&#x2212;200)</td>
<td valign="top" align="center">&#x2003;172.5(145&#x2212;200)</td>
<td valign="top" align="left">0.417</td>
</tr>
<tr>
<td valign="top" align="left">Intraoperative blood loss (ml)</td>
<td valign="top" align="center">&#x2003;200(100&#x2212;200)</td>
<td valign="top" align="center">&#x2003;200(130&#x2212;200)</td>
<td valign="top" align="left">0.241</td>
</tr>
<tr>
<td valign="top" align="left">Intraoperative fluid input (ml)</td>
<td valign="top" align="center">&#x2003;1,100(712.5&#x2212;1,100)</td>
<td valign="top" align="center">&#x2003;1,100(1,075&#x2212;1,200)</td>
<td valign="top" align="left">0.290</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>ASA, American Society of Anesthesiologists; MMSE, Mini-Mental State Examination; TC, triglyceride; TG, total cholesterol; LDL-C, low-density lipoprotein; HDL-C, high-density lipoprotein; MDAS, Memorial Delirium Assessment Scale.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Logistic Regression Analysis</title>
<p>Logistic regression analysis showed that high concentration of TC (OR = 3.148, 95%CI 1.858&#x223C;5.333, <italic>P</italic> &#x003C; 0.001), TG (OR = 2.483, 95%CI 1.573&#x223C;3.918, <italic>P</italic> &#x003C; 0.001), and LDL-C (OR = 2.469, 95%CI 1.310&#x223C;4.656, <italic>P</italic> = 0.005) in serum were risk factors for POD. A high concentration of HDL-C (OR = 0.258, 95%CI 0.112&#x223C;0.594, <italic>P</italic> = 0.001) was a protective factor for POD after adjusted for age, sex, education, and MMSE score (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Logistic regression analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center" colspan="3">Unadjusted<hr/></td>
<td valign="top" align="center" colspan="3">Adjusted<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref><hr/></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"><italic>P</italic></td>
<td valign="top" align="center">OR</td>
<td valign="top" align="center">95% CI</td>
<td valign="top" align="center"><italic>P</italic></td>
<td valign="top" align="center">OR</td>
<td valign="top" align="center">95% CI</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Serum TC (mmol/L)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">2.584</td>
<td valign="top" align="center">1.633&#x2013;4.089</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3.148</td>
<td valign="top" align="center">1.858&#x2013;5.333</td>
</tr>
<tr>
<td valign="top" align="left">Serum TG (mmol/L)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">2.433</td>
<td valign="top" align="center">1.554&#x2013;3.809</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">2.483</td>
<td valign="top" align="center">1.573&#x2013;3.918</td>
</tr>
<tr>
<td valign="top" align="left">Serum HDL-C (mmol/L)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.271</td>
<td valign="top" align="center">0.124&#x2013;0.590</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.258</td>
<td valign="top" align="center">0.112&#x2013;0.594</td>
</tr>
<tr>
<td valign="top" align="left">Serum LDL-C (mmol/L)</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">2.111</td>
<td valign="top" align="center">1.177&#x2013;3.787</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">2.469</td>
<td valign="top" align="center">1.310&#x2013;4.656</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>40</sub> (100 pg/mL)</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">1.000&#x2013;1.000</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub> (pg/mL)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.979</td>
<td valign="top" align="center">0.972&#x2013;0.986</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.979</td>
<td valign="top" align="center">0.971&#x2013;0.986</td>
</tr>
<tr>
<td valign="top" align="left">CSF t-Tau (pg/mL)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">1.016</td>
<td valign="top" align="center">1.011&#x2013;1.022</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">1.021</td>
<td valign="top" align="center">1.012&#x2013;1.031</td>
</tr>
<tr>
<td valign="top" align="left">CSF p-Tau (pg/mL)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">1.281</td>
<td valign="top" align="center">1.137&#x2013;1.443</td>
<td valign="top" align="center">0.070</td>
<td valign="top" align="center">1.759</td>
<td valign="top" align="center">0.954&#x2013;3.244</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub>/A&#x03B2;<sub>40</sub></td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.000&#x2013;0.000</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub>/t-Tau</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.000&#x2013;0.001</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>42</sub>/p-Tau</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.157</td>
<td valign="top" align="center">0.074&#x2013;0.333</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.142</td>
<td valign="top" align="center">0.061&#x2013;0.332</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>40</sub>/t-Tau</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.825</td>
<td valign="top" align="center">0.769&#x2013;0.884</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.795</td>
<td valign="top" align="center">0.729&#x2013;0.866</td>
</tr>
<tr>
<td valign="top" align="left">CSF A&#x03B2;<sub>40</sub>/p-Tau</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.969</td>
<td valign="top" align="center">0.957&#x2013;0.980</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">0.953&#x2013;0.978</td>
</tr>
<tr>
<td valign="top" align="left">CSF t-Tau/p-Tau</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">1.208</td>
<td valign="top" align="center">1.031&#x2013;1.414</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">1.224</td>
<td valign="top" align="center">1.046&#x2013;1.434</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fns1"><p><italic>&#x002A;The adjustment factors include age, sex, education, and MMSE score.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>We performed two sensitivity analyses. In our first sensitivity analysis, we added more covariates, including self-reported history of type 2 diabetes and hypertension, and the results showed that high concentration of TC (OR = 3.394, 95%CI 1.953&#x223C;5.898, <italic>P</italic> &#x003C; 0.001), TG (OR = 2.456, 95%CI 1.557&#x223C;3.872, <italic>P</italic> &#x003C; 0.001) and LDL-C (OR = 2.650, 95%CI 1.376&#x223C;5.101, <italic>P</italic> = 0.004) in serum were remain risk factors for POD. After adjusted for age, sex, education, MMSE score, self-reported history of type 2 diabetes, and hypertension, high concentration of HDL-C (OR = 0.263, 95%CI 0.115&#x223C;0.601, <italic>P</italic> = 0.002) was a protective factor for POD (<xref ref-type="supplementary-material" rid="FS1">Supplementary Table 1</xref>). In the second sensitivity analysis, we selected patients older than 65 years old. The implication of these results is that high concentration of TC (OR = 3.880, 95%CI 1.653&#x223C;9.108, <italic>P</italic> = 0.002), TG (OR = 2.421, 95%CI 1.218&#x223C;4.809, <italic>P</italic> = 0.012) and LDL-C (OR = 2.639, 95%CI 1.032&#x223C;6.743, <italic>P</italic> = 0.043) in serum were remain risk factors for POD. After adjusted for age, sex, education and MMSE score, high concentration of HDL-C (OR = 0.163, 95%CI 0.040&#x223C;0.659, <italic>P</italic> = 0.011) was a protective factor for POD (<xref ref-type="supplementary-material" rid="FS1">Supplementary Table 2</xref>). The results were barely changed in the sensitivity analysis, and the sensitivity analysis have showed that the results were stable.</p>
</sec>
<sec id="S3.SS3">
<title>Receiver Operating Characteristic Analysis and Precision-Recall Curve Analysis</title>
<p>ROC curves showed that LDL-C [0.607 (0.519&#x2013;0.691)], HDL-C [0.620 (0.531&#x2013;0.703)], TG [0.761 (0.679&#x2013;0.831)], and TC [0.708 (0.623&#x2013;0.784)] can all predict POD (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="supplementary-material" rid="FS2">Supplementary Table 3</xref>). Among which, HDL-C had the highest sensitivity and specificity in predicting POD, although AUC was not the largest. We calculated the area under curve and F1 score of TG, TC, LDL-C, and HDL-C in PRC analysis. The results showed that these four lipid markers, the PRC range from 0.602 to 0.731, respectively. The F1 score of TG, TC, LDL-C, and HDL-C were 0.757, 0.714, 0.685, and 0.722, respectively (<xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="supplementary-material" rid="FS2">Supplementary Table 4</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The receiver-operator characteristic analyses for TC [0.708 (0.623&#x2013;0.784)], TG [0.761 (0.679&#x2013;0.831)], LDL-C [0.607 (0.519&#x2013;0.691)], HDL-C [0.620 (0.531&#x2013;0.703)] and CSF biomarkers in predicting delirium.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-870317-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The precision-recall curve of predicting postoperative delirium.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-870317-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Mediation Analyses</title>
<p>In the mediation modeling analysis, we assessed the mediation effects of CSF proteins on the associations of lipid levels with MDAS, after controlling for age, sex, education, and MMSE score. The relationship between TC and POD severity was mediated by amyloid and tau pathology indicated by A&#x03B2;<sub>42</sub>, t-Tau, A&#x03B2;<sub>42</sub>/t-Tau ratios, A&#x03B2;<sub>42</sub>/p-Tau ratios, and A&#x03B2;<sub>40</sub>/p-Tau ratios. While, the relationship between TG and MDAS was mediated by t-Tau, A&#x03B2;<sub>42</sub>/t-Tau ratios, A&#x03B2;<sub>40</sub>/t-Tau ratios, and A&#x03B2;<sub>40</sub>/p-Tau ratios. A&#x03B2;<sub>42</sub> and t-Tau act as full mediators between LDL-C and MDAS. The result of this study shows that t-Tau, A&#x03B2;<sub>40</sub>/t-Tau ratios, and A&#x03B2;<sub>40</sub>/p-Tau have different performance on HDL-C and MDAS (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Mediation analyses with Memorial Delirium Assessment Scale (MDAS) as outcome. The relationship between triglyceride (TC) and postoperative delirium severity was mediated by amyloid and tau pathology indicated by (1A) amyloid beta<sub>42</sub> (A&#x03B2;<sub>42</sub>), (1B) total Tau (t-Tau), (1C) amyloid beta<sub>42</sub>/t-Tau (A&#x03B2;<sub>42</sub>/t-Tau) ratios, (1D) A&#x03B2;<sub>42</sub>/p-Tau ratios, (1E) A&#x03B2;<sub>40</sub>/p-Tau ratios. The relationship between total cholesterol (TG) and postoperative delirium severity was mediated by amyloid and tau pathology indicated by (2A) t-Tau, (2B) A&#x03B2;<sub>42</sub>/t-Tau ratios, (2C) A&#x03B2;<sub>40</sub>/t-Tau ratios, (2D) A&#x03B2;<sub>40</sub>/p-Tau ratios. The relationship between low-density lipoprotein (LDL-C) and postoperative delirium severity was mediated by amyloid and tau pathology indicated by (3A) A&#x03B2;<sub>42</sub> and (3B) t-Tau. The relationship between high-density lipoprotein (HDL-C) and postoperative delirium severity was mediated by amyloid and tau pathology indicated by (4A) t-Tau, (4B) A&#x03B2;<sub>40</sub>/t-Tau ratios and (4C) A&#x03B2;<sub>40</sub>/p-Tau ratios. IE, indirect effect.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-870317-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>As far as we are aware, the study is the first that reported the relationship including mediator effects between serum lipid and POD. We mainly screened out several POD core proteins as mediators. Of course, they played different mediating effects in the relationship between different serum lipoprotein and POD.</p>
<p>Cholesterol is an essential component of membranes and plasma lipoprotein, and it also plays an essential part in the accommodation of synaptic function and cell plasticity (<xref ref-type="bibr" rid="B17">17</xref>). An independent study (<xref ref-type="bibr" rid="B18">18</xref>) found that hypercholesterolemia caused memory impairment, inflammation response, and cholinergic dysfunction. Conversely, taking cholesterol-reducing medications can bring down the risk of neurocognitive-related diseases (<xref ref-type="bibr" rid="B19">19</xref>). Our findings indicate that cholesterol amounts altered was concerned with POD, and serum cholesterol was proportional to the severity of POD; that is, it is positively correlated with MDAS scores. Hypercholesterolemia leading to POD partly by A&#x03B2;<sub>42</sub>, t-Tau, A&#x03B2;<sub>42</sub>/t-Tau ratios, A&#x03B2;<sub>42</sub>/p-Tau ratios, and A&#x03B2;<sub>40</sub>/p-Tau ratios, explanation by mediation effects. Likewise, Umeda et al. found that hypercholesterolemia accelerates the accumulation of A&#x03B2; oligomers and resulting in memory impairment (<xref ref-type="bibr" rid="B20">20</xref>). It is universally recognized that reduced CSF A&#x03B2;<sub>42</sub> concentration reflects the accumulation of aggregated A&#x03B2;<sub>42</sub> in amyloid plaques in the brain (<xref ref-type="bibr" rid="B21">21</xref>). In patients with hip fracture, this group found lower CSF A&#x03B2;<sub>42</sub> levels and increased CSF t-Tau levels who developed delirium compared to the control group, the biomarkers remained significant after adjusting for age, gender, and Informant Questionnaire on Cognitive Decline in the Elderly score. This result is consistent with our findings. Some research has found that cholesterol amounts modification altered amyloid precursor protein (APP) and A&#x03B2; expression (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Cholesterol transcellular transportation was altered by A&#x03B2;, while inhibition of intracellular transport of cholesterol reduced cleavage of A&#x03B2; from APP in neurons (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Intracellular cholesterol plays a significant role in modulating tau phosphorylation and maintaining microtubule stability, the researchers found (<xref ref-type="bibr" rid="B26">26</xref>). Van der et al. (<xref ref-type="bibr" rid="B27">27</xref>) found that the effects of cholesterol on tau proteostasis are correlated with APP and A&#x03B2;. We also find this relationship by calculating the mediating effect. The interesting thing is that exercise can lower the tau pathology and its pathophysiological consequences (<xref ref-type="bibr" rid="B28">28</xref>). Exercise decreased the levels of soluble A&#x03B2;<sub>40</sub> and A&#x03B2;<sub>42</sub> (<xref ref-type="bibr" rid="B29">29</xref>), also reducing the lipid level in serum. It is tempting to think there is at least a case to be made for exercise to lower cholesterol levels and thus reduce the risk of POD.</p>
<p>Moreover, our results showed that triglyceride levels were higher than the NPOD group in POD patients, and the difference between the two groups has statistical significance. t-Tau, A&#x03B2;<sub>42</sub>/t-Tau ratios, A&#x03B2;<sub>40</sub>/t-Tau ratios, and A&#x03B2;<sub>40</sub>/p-Tau ratios may mediate the effect of triglyceride on POD. Triglyceride components were found to be significantly associated with CSF A&#x03B2;<sub>42</sub> values (<xref ref-type="bibr" rid="B30">30</xref>). A longitudinal cohort study in cognitively healthy individuals concluded that increased levels of triglycerides could even predict CSF A&#x03B2; and tau pathology 20 years later (<xref ref-type="bibr" rid="B31">31</xref>). Higher serum triglyceride levels are associated with Parkinson&#x2019;s disease mild cognitive impairment (<xref ref-type="bibr" rid="B32">32</xref>) and are one of the risk factors for AD (<xref ref-type="bibr" rid="B33">33</xref>). It was proved that triglycerides could cross the blood-brain barrier (BBB), consisting of human CSF, resulting in cognitive impairment (<xref ref-type="bibr" rid="B34">34</xref>). Some scholars have argued that the relation between triglycerides and cognition may be mediated by triglyceride regulation of the BBB transport of cognitively active gastrointestinal hormones (<xref ref-type="bibr" rid="B35">35</xref>). In animal models, an influential study showed that plasma triglyceride levels increased precede A&#x03B2; deposition (<xref ref-type="bibr" rid="B6">6</xref>), but total cholesterol levels were not significantly different in this research. In another model of hyperlipidemia-induced age-related neurodegeneration (<xref ref-type="bibr" rid="B36">36</xref>), chronic hypertriglyceridemia may lead to impaired neuronal function and neurodegeneration, possibly via hyperphosphorylation of tau protein, and this is similar to our findings.</p>
<p>More importantly, our analysis found that serum HDL level is associated with POD development, and high serum HDL level before surgery is one of the protective factors of POD. HDL-C is known as the &#x201C;good cholesterol&#x201D; because of its ability to reverse cholesterol transport. It protects against elevated lipid levels and protects against endothelial dysfunction, oxidative stress, inflammation, thrombosis, and more. Therefore, it is well known that serum HDL-C level is associated with a lower risk of cardiovascular disease. In addition, several studies have shown that individuals with higher levels of serum HDL-C is related to better cognitive function status (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B39">39</xref>), One possible reason is that HDL-C is capable of binding A&#x03B2; (<xref ref-type="bibr" rid="B40">40</xref>) and prevent A&#x03B2; aggregation into amyloid (<xref ref-type="bibr" rid="B41">41</xref>), and then improve clearance of A&#x03B2; from the brain, which in turn decreases the neurotoxicity of A&#x03B2; peptides (<xref ref-type="bibr" rid="B42">42</xref>). Another factor may be that serum HDL-C levels are inversely correlated with brain A&#x03B2; deposits (<xref ref-type="bibr" rid="B43">43</xref>). Our study did not support a significant mediation effect of A&#x03B2; deposits in the associations between serum HDL-C and MDAS, while the t-Tau, A&#x03B2;<sub>40</sub>/t-Tau ratios, and A&#x03B2;<sub>40</sub>/p-Tau ratios play full mediators on the relationship between HDL-C and MDAS. A study of older adults in China&#x2019;s rural area showed that low HDL-C is associated with structural brain aging and cognitive dysfunction, but the association of low HDL-C with cognitive aging is not mediated by brain structure (<xref ref-type="bibr" rid="B44">44</xref>). Our data agree with previous research that low HDL-C is associated with cognitive impairment and dementia and is a risk factor for memory deficit and decline (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Our data insinuate that preoperative LDL-C levels were positively correlated with POD occurrence. A&#x03B2;<sub>42</sub> and t-Tau may mediate the effect of LDL-C on POD. In addition, A&#x03B2;<sub>42</sub> is a complete mediation. Our data support the view that a higher LDL-C level was associated with higher A&#x03B2; deposition and lower cognitive function (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). In an Australian study, researchers discovered that higher levels of cholesterol and LDL-C were related to impaired processing speed, recognition memory, and working memory (<xref ref-type="bibr" rid="B48">48</xref>). However, in a prospective cohort study in Japan, higher LDL-C levels were associated with higher scores in memory performance after controlling for confounders (<xref ref-type="bibr" rid="B49">49</xref>), The Japanese study is broadly similar to the results of a cross-sectional study from China (<xref ref-type="bibr" rid="B50">50</xref>). According to the Chinese study, higher LDL-C was significantly negatively related to higher MMSE scores among the oldest old (aged 80 + years). Another Chinese study showed that a high level of LDL-C may be considered a potentially protective factor against cognition decline (<xref ref-type="bibr" rid="B51">51</xref>). Still, some research showed that LDL-C level did not influence the incidence of cognitive disorder or global cognitive performance (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). All of the above studies come from different countries and regions, with different living standards and educational levels, so many factors influence the results. Therefore, future large-sample multicenter studies are needed to support the relationship between LDL-C and POD.</p>
<p>There are limitations to this study. As this is an observational cross-sectional design, we only tried to infer the causal relationship, but the specific relationship needs further study. In addition, our study only measured lipid levels at a one-time point before surgery, and more comprehensive monitoring of lipid levels is needed in the future. The research population we included come from the same hospital, which is also the deficiency of our experimental study. If possible, we hope to conduct verification of our experimental model in other independent and comparable hospitals in future studies.</p>
<p>To sum up, the present study indicated that the increase of serum TG, TC, and LDL-C concentration are risk factors for the development of POD, while high HDL-C concentration is a protective factor for POD, and the occurrence of POD caused by hyperlipidemia may be caused by POD core protein. Therefore, we advocate maintaining a healthy lifestyle to reduce lipid levels and thus reduce the incidence of POD.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="FS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Clinical Trial Ethics Committee of Qingdao Municipal Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>YL contributed to the statistical analysis, and manuscript preparation. XD, FL, and HT involved in the data collection and ELISA performance. XP, XL, and RD revised the manuscript. YB and BW conceived the current study. All authors have contributed to the manuscript revising and editing critically for important intellectual content and given final approval of the version and agreed to be accountable for all aspects of the work presented here, reviewed, and approved the final 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>The current study was funded by National Natural Science Foundation Youth Project (82001132) and B. Braun Anesthesia Research Fund (BBDF-2019-010).</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/fpsyt.2022.870317/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyt.2022.870317/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.JPEG" id="FS1" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_2.JPEG" id="FS2" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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