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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2023.1126585</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic models for survival and consciousness in patients with primary brainstem hemorrhage</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Jingyi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1568614/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mao</surname> <given-names>Jizhong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gu</surname> <given-names>Yichen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shao</surname> <given-names>Anwen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/608228/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Fengqiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Jianmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/501180/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Brain Research Institute, Zhejiang University, Hangzhou</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Collaborative Innovation Center for Brain Science, Zhejiang University, Hangzhou</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Stroke Research Center for Diagnostic and Therapeutic Technologies of Zhejiang Province</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Clinical Research Center for Neurological Diseases of Zhejiang Province</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Wen-Jun Tu, Chinese Academy of Medical Sciences and Peking Union Medical College, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Zhaohui He, First Affiliated Hospital of Chongqing Medical University, China; Yuto Uchida, Johns Hopkins Medicine, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Anwen Shao &#x02709; <email>shaoanwen&#x00040;zju.edu.cn</email></corresp>
<corresp id="c002">Fengqiang Liu &#x02709; <email>2311009&#x00040;zju.edu.cn</email></corresp>
<corresp id="c003">Jianmin Zhang &#x02709; <email>zjm135&#x00040;zju.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Neurological Biomarkers, a section of the journal Frontiers in Neurology</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1126585</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Zhou, Wang, Mao, Gu, Shao, Liu and Zhang.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhou, Wang, Mao, Gu, Shao, Liu and Zhang</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>Objectives</title>
<p>Primary brainstem hemorrhage (PBSH) is one of the most catastrophic spontaneous intracerebral hemorrhage diseases, with a mortality rate of 70&#x02013;80%. We explored the predictive factors for survival and consciousness in patients with PBSH (ClinicalTrials.gov ID: NCT04910490).</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively reviewed 211 patients with PBSH admitted to our institution between January 2014 and October 2020. Clinical outcomes included the 30-day survival rate and the 90-day consciousness rate as evaluated by the National Institutes of Health Stroke Scale score. Multiple logistic regression analysis was performed.</p>
</sec>
<sec>
<title>Results</title>
<p>The overall 30-day survival rate of 211 patients with PBSH was 70%. Several predictive factors including hematoma volume, hematoma location, activated partial thromboplastin time (APTT) upon admission, and therapeutic strategy were significantly related to 30-day survival. Compared with conservative treatment, stereotactic aspiration in our prediction model is strongly associated with improved 30-day survival (odds ratio, 6.67; 95% confidence interval, 3.13&#x02013;14.29; <italic>P</italic> &#x0003C; 0.001). The prognosis prediction model of 90-day consciousness including factors such as mydriasis, APTT value, hematoma location, and hematoma volume upon admission has a good predictive effect (AUC, 0.835; 95% confidence interval, 0.78&#x02013;0.89; <italic>P</italic> &#x0003C; 0.001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In patients with PBSH, conscious state upon admission, coagulation function, hematoma volume, hematoma location, and therapeutic strategy were significantly associated with prognosis. Stereotactic aspiration could significantly reduce the 30-day mortality rate.</p>
</sec></abstract>
<kwd-group>
<kwd>primary brainstem hemorrhage</kwd>
<kwd>consciousness</kwd>
<kwd>multiple logistic regression</kwd>
<kwd>predictive factors</kwd>
<kwd>stereotactic aspiration</kwd>
</kwd-group>
<contract-num rid="cn001">TGD23C040017</contract-num>
<contract-sponsor id="cn001">Natural Science Foundation of Zhejiang Province<named-content content-type="fundref-id">10.13039/501100004731</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="11"/>
<word-count count="6206"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>Primary brainstem hemorrhage (PBSH) is one of the most catastrophic spontaneous intracerebral hemorrhage (ICH) diseases, which accounts for approximately 3.8&#x02013;6.3% of ICH cases (<xref ref-type="bibr" rid="B1">1</xref>). PBSH is known to have a poor prognosis, with a mortality rate varying widely from 70 to 80% (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), and the 30-day mortality rate for patients with a Glasgow Coma Scale (GCS) score of &#x0003C; 5 and a hematoma volume of &#x0003E;10 ml even reaches 100% (<xref ref-type="bibr" rid="B4">4</xref>). Previous studies have found that the severity of initial neurological symptoms, hydrocephalus, hematoma volume, and GCS score may be predictors of poor outcomes for patients with PBSH (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>), but the conclusions of different studies are not uniform. Currently, there is no standard, widely accepted prognostic model or clinical grading scale for survival and consciousness outcomes, and there are no strong recommendations for clinical treatment strategies for PBSH.</p>
<p>Neurosurgical interventions continue to be controversial and have not been sufficiently investigated because ICH in the posterior fossa has been excluded from large ICH surgical intervention trials in the past (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). The American Heart Association/American Stroke Association Guidelines clearly advise against the surgical evacuation of brainstem hematoma (<xref ref-type="bibr" rid="B9">9</xref>). However, others have advocated the efficacy of surgical treatment for PBSH or other brainstem diseases (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). The number of patients with PBSH who underwent surgery enrolled in previous studies has been relatively small, and most studies date back to more than 20 years. Computed tomography (CT)-guided stereotactic hematoma puncture and drainage provided a potential treatment for PBSH, which showed a more favorable outcome than conservative therapy (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The option of PBSH treatments including conservative treatment or stereotactic surgery remains quite challenging for neurosurgeons. Accordingly, studies on PBSH treatments related to death or a better outcome are useful in clinical practice.</p>
<p>Here, we conducted a retrospective, observational, explorative, and single-center study to analyze the prognostic factors affecting the 30-day survival rate and the 90-day consciousness rate in 211 patients with PBSH undergoing conservative or stereotactic aspiration therapy. The present study aimed to identify chief predictors of survival and consciousness after PBSH.</p>
</sec>
<sec id="s2">
<title>2. Materials and methods</title>
<sec>
<title>2.1. Study design</title>
<p>Using a retrospective, observational, explorative, and single-center study design, we aimed to explore the prognostic factors for survival and consciousness in patients with PBSH. This study was conducted with the approval of the Ethics Committee of the Second Affiliated Hospital Zhejiang University School of Medicine. Due to the retrospective, observational nature of this study and the anonymity of patients, the need for informed consent was waived. The objectives of this study were fully explained to patients or patients&#x00027; families during follow-up. Moreover, this study tried to present the results of an explorative analysis without an <italic>a priori</italic> hypothesis for the prognostic factors.</p>
</sec>
<sec>
<title>2.2. Patient selection</title>
<p>We retrospectively reviewed the data of 211 patients with PBSH from 342 consecutive patients admitted to our institution between January 2014 and October 2020. The inclusion criteria were as follows: (1) a diagnosis of PBSH confirmed by CT and (2) complete clinical data (laboratory data, imaging data, and other clinical data). The exclusion criteria were as follows: (1) secondary brainstem hemorrhage caused by trauma, thrombolytic therapy, cavernous hemangioma, or arteriovenous malformation, (2) surgical treatment of brainstem hemorrhage before admission to our hospital, (3) admission to our hospital more than 10 days after symptom onset, and (4) missed follow-up.</p>
</sec>
<sec>
<title>2.3. Clinical data</title>
<p>All patients&#x00027; clinical data were reviewed including general characteristics (age, sex, smoking or drinking habits, previous functional status, and comorbidities), clinical characteristics upon admission (vital signs, blood pressure, pupillary abnormalities, GCS score, and emergency treatment), laboratory data, radiological findings upon admission or during hospitalization, treatment, and outcomes. Clinical data during hospitalization referred to the examination data from admission to hospital discharge when people have recovered sufficiently or can be appropriately rehabilitated elsewhere or died, except for the first data upon admission.</p>
<p>Upon admission to the emergency department, head CT plain scans were performed to assess the severity of the disease. The features evaluated on CT included the location and the extension of hemorrhage, hematoma volume, and the presence of hydrocephalus. Lesions located entirely within the cerebellum, the thalamus, the basal ganglia, or the ventricle were excluded, but lesions extending into these regions from the brainstem were included. Hemorrhage volume is calculated as follows: volume = (A &#x000D7; B &#x000D7; C)/2 where A is the greatest hemorrhage diameter by CT, B is the diameter perpendicular to A, and C is the approximate number of CT slices with hemorrhage multiplied by the slice thickness (<xref ref-type="bibr" rid="B14">14</xref>), as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. Hydrocephalus on CT was determined by enlarged ventricles or obstruction to the flow of cerebrospinal fluid within the ventricular system. Clinical data were reviewed, and radiological data were assessed by two trained neurosurgeons blinded to outcome.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The representation of the ABC formula for calculating hemorrhage volume in different hemorrhagic locations. <bold>(A)</bold> Representative images of dorsal hematoma. The A value is defined as the longest segment (red arrow) in the largest hematoma slice, the B value is defined as the longest segment, which is perpendicular to the A segment on the same slice (green arrow), and the C value is defined as the approximate number of CT slices (right panel) with the slice thickness (being 0.5 cm in this example). For this example, (A &#x000D7; B &#x000D7; C)/2 = [3.2 &#x000D7; 1.9 &#x000D7; (4 &#x000D7; 0.5)]/2 = 6.08 cm<sup>3</sup>. <bold>(B)</bold> Representative images of ventral hematoma. For this example, (A &#x000D7; B &#x000D7; C)/2 = [3.1 &#x000D7; 1.5 &#x000D7; (4 &#x000D7; 0.5)]/2 = 4.65 cm<sup>3</sup>. <bold>(C)</bold> Representative images of hematoma crossing the midline. For this example, (A &#x000D7; B &#x000D7; C)/2 = [3.1 &#x000D7; 1.1 &#x000D7; (5 &#x000D7; 0.5)]/2 = 4.26 cm<sup>3</sup>. <bold>(D)</bold> Representative images of hematoma without crossing the midline. For this example, (A &#x000D7; B &#x000D7; C)/2 = [0.9 &#x000D7; 0.7 &#x000D7; (3 &#x000D7; 0.5)]/2 = 0.47 cm<sup>3</sup>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-14-1126585-g0001.tif"/>
</fig>
</sec>
<sec>
<title>2.4. Stereotactic aspiration treatment</title>
<p>The selection criteria for surgery were as follows: hematoma volume &#x0003E;5 ml and GCS &#x0003C;8. All patients included in the study, who meet the selection criteria mentioned earlier and have no contraindications of surgery such as severe disorders of blood coagulation, were offered the option of surgery. Their relatives either agreed to surgical intervention or refused. Patients whose families consented to the surgery were allocated to the surgery group, and those patients whose families refused the surgery were put into the conservative treatment group.</p>
</sec>
<sec>
<title>2.5. Assessments of outcome</title>
<p>The 30-day survival rate and 90-day consciousness rate were chosen as the primary outcomes. Mortality data were obtained from medical records or by telephone contact with primary care physicians or family members. Consciousness was determined based on the National Institutes of Health Stroke Scale (NIHSS) (item 1a: value 0, 1, or 2 for consciousness, value 3 for unconsciousness), which was obtained from a clinic visit at 90-day follow-up or by telephone contact by two trained neurosurgeons blinded to research data.</p>
</sec>
<sec>
<title>2.6. Statistical analysis</title>
<p>R (version 4.0.3) and RStudio (version 1.4.1106) were used for statistical calculations. Normally distributed continuous variables are presented as mean &#x000B1; standard deviation (SD), and non-normally distributed continuous variables are presented as median with interquartile range (IQR). Normally distributed continuous variables were compared by the two-sided <italic>t</italic>-test, and non-normally distributed continuous variables and ordinal variables were compared by the Mann&#x02013;Whitney&#x02013;Wilcox test. Categorical variables were compared by the Pearson chi-square test, the continuity-corrected chi-square test, or Fisher&#x00027;s exact test (expected frequency &#x0003C;5). Odds ratios (ORs) and 95% confidence intervals (CIs) were also reported.</p>
<p>Univariate analysis was used initially to identify possible relations between outcomes. Variables were only modeled using multiple logistic regression if they were statistically significant and biologically related to clinical outcomes. A pre-treatment prognosis prediction model including only admission indicators and a post-treatment prognosis prediction model including both admission and hospitalization indicators were established. The predictive effect was evaluated by the receiver operating curve (ROC) analysis. For the area under the ROC curve (AUC), a value of &#x0003E;0.8 or 0.7&#x02013;0.8 represents an excellent or good prediction ability, respectively. The <italic>p</italic>-values of &#x0003C;0.05 were regarded as statistically significant.</p>
</sec>
</sec>
<sec id="s3">
<title>3. Results</title>
<sec>
<title>3.1. Baseline characteristics</title>
<p>A total of 211 patients with PBSH were included in the final analysis (<xref ref-type="fig" rid="F2">Figure 2</xref>). <xref ref-type="table" rid="T1">Table 1</xref> shows the general characteristics of included patients in the baseline and the variance data according to survival outcomes. The median age of the 211 patients was 49 years. Of the 175 (83%) male and 36 (17%) female patients, 153 (73%) had a history of hypertension, 26 (12%) had diabetes, and 21 (10%) had a history of stroke or myocardial infarction. The mean body mass index was 24.9 &#x000B1; 4.4, suggesting a trend toward being overweight.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Flow chart of patient enrollment.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-14-1126585-g0002.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>General characteristics of study population.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="center"><bold>211 patients</bold></th>
<th valign="top" align="center"><bold>30-day survival group (<italic>n</italic> = 147)</bold></th>
<th valign="top" align="center"><bold>30-day death group (<italic>n</italic> = 64)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic> value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">49 (42&#x02013;57)</td>
<td valign="top" align="center">50 (42&#x02013;57)</td>
<td valign="top" align="center">48 (42&#x02013;57)</td>
<td valign="top" align="center">0.462</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">175 (83%)</td>
<td valign="top" align="center">119 (81%)</td>
<td valign="top" align="center">56 (88%)</td>
<td valign="top" align="center">0.335</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">153 (73%)</td>
<td valign="top" align="center">111 (76%)</td>
<td valign="top" align="center">42 (66%)</td>
<td valign="top" align="center">0.162</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">26 (12%)</td>
<td valign="top" align="center">19 (13%)</td>
<td valign="top" align="center">7 (11%)</td>
<td valign="top" align="center">0.860</td>
</tr>
<tr>
<td valign="top" align="left">History of stroke or myocardial infarction</td>
<td valign="top" align="center">21 (10%)</td>
<td valign="top" align="center">15 (10%)</td>
<td valign="top" align="center">6 (9%)</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Smoking habits (pack-years)</td>
<td valign="top" align="center">0 (0&#x02013;14)</td>
<td valign="top" align="center">0 (0&#x02013;11)</td>
<td valign="top" align="center">0 (0&#x02013;15)</td>
<td valign="top" align="center">0.816</td>
</tr>
<tr>
<td valign="top" align="left">Drinking habits (alcohol use)</td>
<td valign="top" align="center">0 (0&#x02013;0)</td>
<td valign="top" align="center">0 (0&#x02013;0)</td>
<td valign="top" align="center">0 (0&#x02013;8)</td>
<td valign="top" align="center">0.311</td>
</tr>
<tr>
<td valign="top" align="left">Hyperuricemia</td>
<td valign="top" align="center">6 (3%)</td>
<td valign="top" align="center">3 (2%)</td>
<td valign="top" align="center">3 (5%)</td>
<td valign="top" align="center">0.540</td>
</tr>
<tr>
<td valign="top" align="left">Anticoagulant drugs</td>
<td valign="top" align="center">8 (4%)</td>
<td valign="top" align="center">5 (3%)</td>
<td valign="top" align="center">3 (5%)</td>
<td valign="top" align="center">0.954</td>
</tr>
<tr>
<td valign="top" align="left">Antiplatelet drugs</td>
<td valign="top" align="center">9 (3%)</td>
<td valign="top" align="center">9 (6%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">0.097</td>
</tr>
<tr>
<td valign="top" align="left">Lipid-lowering drugs</td>
<td valign="top" align="center">5 (3%)</td>
<td valign="top" align="center">3 (2%)</td>
<td valign="top" align="center">2 (3%)</td>
<td valign="top" align="center">0.634</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index</td>
<td valign="top" align="center">24.9 &#x000B1; 4.4</td>
<td valign="top" align="center">24.9 &#x000B1; 3.7</td>
<td valign="top" align="center">24.9 &#x000B1; 5.7</td>
<td valign="top" align="center">0.997</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are expressed as n (%), mean &#x000B1; SD, median (IQR), as appropriate.</p>
<p>Body mass index = weight/height<sup>2</sup> (kg/m<sup>2</sup>).</p>
<p>Pack-years of cigarette smoking = Packs per day (one pack contains 20 cigarettes) &#x000D7; Years.</p>
<p>Alcohol use = Drink units of alcohol per week (one unit contains 12 grams of alcohol).</p>
</table-wrap-foot>
</table-wrap>
<p>The mean blood pressure upon admission was 166/95 &#x000B1; 31/19 mmHg (<xref ref-type="table" rid="T2">Table 2</xref>), which was consistent with previous reports that hypertension was the most common risk factor of PBSH (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). The median GCS score upon admission was 4 (IQR, 3&#x02013;5), and 90% of patients were in a coma upon admission.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Associations of characteristics upon admission with 30-day survival.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="center"><bold>All patients (<italic>n</italic> = 211)</bold></th>
<th valign="top" align="center"><bold>Survivor (<italic>n</italic> = 147)</bold></th>
<th valign="top" align="center"><bold>Non-survivor (<italic>n</italic> = 64)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic> value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Clinical characteristics upon admission</bold></td>
</tr>
<tr>
<td valign="top" align="left">Heart rate</td>
<td valign="top" align="center">84 (71&#x02013;101)</td>
<td valign="top" align="center">82 (71&#x02013;98)</td>
<td valign="top" align="center">89 (70&#x02013;112)</td>
<td valign="top" align="center">0.149</td>
<td valign="top" align="center">0.99 (0.98&#x02013;1.01)</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory rate</td>
<td valign="top" align="center">12 (4&#x02013;15)</td>
<td valign="top" align="center">12 (3&#x02013;15)</td>
<td valign="top" align="center">12 (4&#x02013;15)</td>
<td valign="top" align="center">0.398</td>
<td valign="top" align="center">1.02 (0.97&#x02013;1.06)</td>
</tr>
<tr>
<td valign="top" align="left">Systolic blood pressure (mmHg)</td>
<td valign="top" align="center">166 &#x000B1; 31</td>
<td valign="top" align="center">164 &#x000B1; 29</td>
<td valign="top" align="center">170 &#x000B1; 35</td>
<td valign="top" align="center">0.211</td>
<td valign="top" align="center">1.00 (0.99&#x02013;1.02)</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic blood pressure (mmHg)</td>
<td valign="top" align="center">95 &#x000B1; 19</td>
<td valign="top" align="center">93 &#x000B1; 18</td>
<td valign="top" align="center">99 &#x000B1; 22</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">0.98 (0.96&#x02013;1.01)</td>
</tr>
<tr>
<td valign="top" align="left">Anisocoria</td>
<td valign="top" align="center">57 (27%)</td>
<td valign="top" align="center">37 (25%)</td>
<td valign="top" align="center">20 (31%)</td>
<td valign="top" align="center">0.456</td>
<td valign="top" align="center">0.74 (0.39&#x02013;1.41)</td>
</tr>
<tr>
<td valign="top" align="left">Mydriasis</td>
<td valign="top" align="center">37 (18%)</td>
<td valign="top" align="center">18 (12%)</td>
<td valign="top" align="center">19 (30%)</td>
<td valign="top" align="center">0.004<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.33 (0.16&#x02013;0.68)</td>
</tr>
<tr>
<td valign="top" align="left">Pinpoint pupils</td>
<td valign="top" align="center">57 (27%)</td>
<td valign="top" align="center">32 (22%)</td>
<td valign="top" align="center">25 (39%)</td>
<td valign="top" align="center">0.015<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.43 (0.23&#x02013;0.82)</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal light reflex</td>
<td valign="top" align="center">182 (86%)</td>
<td valign="top" align="center">122 (83%)</td>
<td valign="top" align="center">60 (94%)</td>
<td valign="top" align="center">0.075</td>
<td valign="top" align="center">0.33 (0.11&#x02013;0.98)</td>
</tr>
<tr>
<td valign="top" align="left">GCS score</td>
<td valign="top" align="center">4 (3&#x02013;5)</td>
<td valign="top" align="center">4 (3&#x02013;5)</td>
<td valign="top" align="center">3 (3&#x02013;5)</td>
<td valign="top" align="center">0.099</td>
<td valign="top" align="center">1.14 (1.00&#x02013;1.29)</td>
</tr>
<tr>
<td valign="top" align="left">Emergency hemostatic drugs</td>
<td valign="top" align="center">78 (37%)</td>
<td valign="top" align="center">60 (41%)</td>
<td valign="top" align="center">18 (28%)</td>
<td valign="top" align="center">0.129</td>
<td valign="top" align="center">1.75 (0.93&#x02013;3.33)</td>
</tr>
<tr>
<td valign="top" align="left">Emergency mechanical ventilation</td>
<td valign="top" align="center">190 (90%)</td>
<td valign="top" align="center">131 (89%)</td>
<td valign="top" align="center">59 (92%)</td>
<td valign="top" align="center">0.664</td>
<td valign="top" align="center">0.69 (0.24&#x02013;2.00)</td>
</tr>
<tr>
<td valign="top" align="left">Emergency decompression</td>
<td valign="top" align="center">123 (58%)</td>
<td valign="top" align="center">86 (59%)</td>
<td valign="top" align="center">37 (58%)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.03 (0.57&#x02013;1.85)</td>
</tr>
<tr>
<td valign="top" align="left">Emergency external ventricular drainage</td>
<td valign="top" align="center">13 (6%)</td>
<td valign="top" align="center">10 (7%)</td>
<td valign="top" align="center">3 (5%)</td>
<td valign="top" align="center">0.783</td>
<td valign="top" align="center">1.49 (0.39&#x02013;5.56)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Image characteristics upon admission</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hematoma volume (ml)</td>
<td valign="top" align="center">9.6 (5.8&#x02013;14.8)</td>
<td valign="top" align="center">9.2 (5.3&#x02013;14.0)</td>
<td valign="top" align="center">11.8 (7.7&#x02013;17.7)</td>
<td valign="top" align="center">0.006<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.94 (0.91&#x02013;0.98)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Location of hemorrhage</bold></td>
</tr>
<tr>
<td valign="top" align="left">Dorsal location</td>
<td valign="top" align="center">99 (47%)</td>
<td valign="top" align="center">60 (41%)</td>
<td valign="top" align="center">39 (61%)</td>
<td valign="top" align="center">0.011<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.44 (0.24&#x02013;0.81)</td>
</tr>
<tr>
<td valign="top" align="left">Crossing the midline</td>
<td valign="top" align="center">190 (90%)</td>
<td valign="top" align="center">128 (87%)</td>
<td valign="top" align="center">62 (97%)</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">0.22 (0.05&#x02013;0.96)</td>
</tr>
<tr>
<td valign="top" align="left">Midbrain</td>
<td valign="top" align="center">151 (72%)</td>
<td valign="top" align="center">106 (72%)</td>
<td valign="top" align="center">45 (70%)</td>
<td valign="top" align="center">0.920</td>
<td valign="top" align="center">1.09 (0.57&#x02013;2.08)</td>
</tr>
<tr>
<td valign="top" align="left">Pons</td>
<td valign="top" align="center">207 (98%)</td>
<td valign="top" align="center">143 (97%)</td>
<td valign="top" align="center">64 (100%)</td>
<td valign="top" align="center">0.434</td>
<td valign="top" align="center"><italic>NA</italic></td>
</tr>
<tr>
<td valign="top" align="left">Medulla</td>
<td valign="top" align="center">12 (6%)</td>
<td valign="top" align="center">7 (5%)</td>
<td valign="top" align="center">5 (8%)</td>
<td valign="top" align="center">0.578</td>
<td valign="top" align="center">0.58 (0.18&#x02013;1.92)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Extension of hemorrhage</bold></td>
</tr>
<tr>
<td valign="top" align="left">Cerebellum</td>
<td valign="top" align="center">34 (16%)</td>
<td valign="top" align="center">20 (14%)</td>
<td valign="top" align="center">14 (22%)</td>
<td valign="top" align="center">0.194</td>
<td valign="top" align="center">0.56 (0.26&#x02013;1.20)</td>
</tr>
<tr>
<td valign="top" align="left">Thalamus</td>
<td valign="top" align="center">24 (11%)</td>
<td valign="top" align="center">12 (8%)</td>
<td valign="top" align="center">12 (10%)</td>
<td valign="top" align="center">0.047<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.38 (0.16&#x02013;0.91)</td>
</tr>
<tr>
<td valign="top" align="left">Basal ganglia</td>
<td valign="top" align="center">23 (11%)</td>
<td valign="top" align="center">13 (9%)</td>
<td valign="top" align="center">10 (16%)</td>
<td valign="top" align="center">0.225</td>
<td valign="top" align="center">0.52 (0.22&#x02013;1.27)</td>
</tr>
<tr>
<td valign="top" align="left">Ventricle</td>
<td valign="top" align="center">125 (59%)</td>
<td valign="top" align="center">82 (56%)</td>
<td valign="top" align="center">43 (67%)</td>
<td valign="top" align="center">0.162</td>
<td valign="top" align="center">0.62 (0.33&#x02013;1.14)</td>
</tr>
<tr>
<td valign="top" align="left">Hydrocephalus</td>
<td valign="top" align="center">8 (4%)</td>
<td valign="top" align="center">4 (3%)</td>
<td valign="top" align="center">4 (6%)</td>
<td valign="top" align="center">0.399</td>
<td valign="top" align="center">0.42 (0.10&#x02013;1.72)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Laboratory blood examinations upon admission</bold></td>
</tr>
<tr>
<td valign="top" align="left">White blood cell count (10<sup>12</sup>/L)</td>
<td valign="top" align="center">11.3 (9.0&#x02013;13.7)</td>
<td valign="top" align="center">11.0 (8.8&#x02013;13.5)</td>
<td valign="top" align="center">11.8 (9.5&#x02013;15.7)</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.93 (0.87&#x02013;1.00)</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin (g/L)</td>
<td valign="top" align="center">133.2 &#x000B1; 20.6</td>
<td valign="top" align="center">131.3 &#x000B1; 16.7</td>
<td valign="top" align="center">137.6 &#x000B1; 27.0</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.99 (0.97&#x02013;1.00)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet (10<sup>9</sup>/L)</td>
<td valign="top" align="center">179.8 &#x000B1; 60.4</td>
<td valign="top" align="center">184.8 &#x000B1; 57.0</td>
<td valign="top" align="center">168.4 &#x000B1; 66.4</td>
<td valign="top" align="center">0.094</td>
<td valign="top" align="center">1.01 (1.00&#x02013;1.01)</td>
</tr>
<tr>
<td valign="top" align="left">C-reactive protein (mg/L)</td>
<td valign="top" align="center">31 (10&#x02013;77)</td>
<td valign="top" align="center">33 (13&#x02013;76)</td>
<td valign="top" align="center">24 (5&#x02013;75)</td>
<td valign="top" align="center">0.199</td>
<td valign="top" align="center">1.00 (1.00&#x02013;1.00)</td>
</tr>
<tr>
<td valign="top" align="left">Blood glucose (mmol/L)</td>
<td valign="top" align="center">7.6 (6.5&#x02013;8.9)</td>
<td valign="top" align="center">7.5 (6.4&#x02013;8.8)</td>
<td valign="top" align="center">8.0 (6.9&#x02013;9.3)</td>
<td valign="top" align="center">0.239</td>
<td valign="top" align="center">1.00 (0.94&#x02013;1.07)</td>
</tr>
<tr>
<td valign="top" align="left">Blood creatinine (&#x003BC;mol/L)</td>
<td valign="top" align="center">76 (62&#x02013;108)</td>
<td valign="top" align="center">73 (58&#x02013;96)</td>
<td valign="top" align="center">91 (70&#x02013;134)</td>
<td valign="top" align="center">&#x0003C;0.001<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.99 (0.98&#x02013;0.99)</td>
</tr>
<tr>
<td valign="top" align="left">TnT (ng/ml)</td>
<td valign="top" align="center">0.02 (0.01&#x02013;0.05)</td>
<td valign="top" align="center">0.02 (0.01&#x02013;0.04)</td>
<td valign="top" align="center">0.04 (0.02&#x02013;0.18)</td>
<td valign="top" align="center">&#x0003C;0.001<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.13 (0.03&#x02013;0.52)</td>
</tr>
<tr>
<td valign="top" align="left">APTT (s)</td>
<td valign="top" align="center">36.3 &#x000B1; 6.0</td>
<td valign="top" align="center">35.7 &#x000B1; 5.4</td>
<td valign="top" align="center">37.7 &#x000B1; 7.1</td>
<td valign="top" align="center">0.045<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.95 (0.90&#x02013;0.99)</td>
</tr>
<tr>
<td valign="top" align="left">D-Dimer (&#x003BC;g/L)</td>
<td valign="top" align="center">2,045 (882&#x02013;4,962)</td>
<td valign="top" align="center">1,860 (860&#x02013;3,990)</td>
<td valign="top" align="center">2,410 (890&#x02013;5,080)</td>
<td valign="top" align="center">0.492</td>
<td valign="top" align="center">1.00 (1.00&#x02013;1.00)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>P &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup>P &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P &#x0003C; 0.001.</p>
<p>Data are expressed as n (%), mean &#x000B1; SD, median (IQR), OR (95% CI), as appropriate.</p>
<p>TnT, troponin T; APTT, activated partial thromboplastin time.</p>
<p>NA, not available.</p>
</table-wrap-foot>
</table-wrap>
<p>The mean hematoma volume on admission CT scans was 11.3 &#x000B1; 7.9 ml, and the median volume was 9.6 (IQR, 5.8&#x02013;14.8) ml. A hematoma crossing the midline of the brainstem was found in 190 (90%) patients, and a dorsal location was found in 99 (47%) patients. Intraventricular hemorrhage was found in 125 (59%) patients, and hydrocephalus was observed in eight (4%) patients on emergency CT.</p>
<p>The median white blood cell count upon admission was 11.3 (IQR, 9.0&#x02013;13.7) &#x000D7; 10<sup>12</sup> cells/L, and the median C-reactive protein level was 31 (IQR, 10&#x02013;77) mg/L, indicating that inflammation may have appeared in the early course of PBSH.</p>
</sec>
<sec>
<title>3.2. Factors upon admission and during hospitalization influencing 30-day survival</title>
<p>The overall 30-day survival rate of 211 patients was 70%. The 30-day survival outcome was significantly related to the following factors upon admission (<xref ref-type="table" rid="T2">Table 2</xref>): mydriasis (<italic>P</italic> = 0.004; OR, 0.33; 95% CI, 0.16&#x02013;0.68), pinpoint pupils (<italic>P</italic> = 0.015; OR, 0.43; 95% CI, 0.23&#x02013;0.82), hematoma volume (<italic>P</italic> = 0.006; OR, 0.94; 95% CI, 0.91&#x02013;0.98), dorsal brainstem hematoma (<italic>P</italic> = 0.011; OR, 0.44; 95% CI, 0.24&#x02013;0.81), extension into the thalamus (<italic>P</italic> = 0.047; OR, 0.38; 95% CI, 0.16&#x02013;0.91), blood creatinine (<italic>P</italic> &#x0003C; 0.001; OR, 0.99; 95% CI, 0.98&#x02013;0.99), troponin T (TnT, <italic>P</italic> &#x0003C; 0.001; OR, 0.13; 95% CI, 0.03&#x02013;0.52), and activated partial thromboplastin time (APTT, <italic>P</italic> = 0. 045; OR, 0.95; 95% CI, 0.90&#x02013;0.99).</p>
<p>Among all 211 patients, 113 patients underwent stereotactic aspiration treatment and 98 patients underwent conservative treatment (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). Univariate analysis showed that stereotactic aspiration treatment (<italic>P</italic> &#x0003C; 0.001; OR, 3.13; 95% CI, 1.67&#x02013;5.88) and changes in blood sodium levels (<italic>P</italic> &#x0003C; 0.01) during hospitalization were significantly related to 30-day survival.</p>
<p>We selected clinically related factors from the significant factors affecting 30-day survival upon admission and during hospitalization to construct a prognostic prediction model. In total, eight factors upon admission were found to be significantly associated with 30-day survival; of which, three factors were selected to build the pre-treatment prognosis prediction model: dorsal brainstem hematoma, showing a close relationship with survival outcome in previous reports (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>); extension into the thalamus, suggesting a vertically widespread extension of the hematoma; and APTT, reflecting the state of endogenous coagulation in the body. The post-treatment model incorporated four factors both upon admission and during hospitalization, including hematoma volume, dorsal brainstem hematoma, APTT, and treatment method. The pre-treatment model showed a significant predictive effect (AUC, 0.680; 95% CI, 0.60&#x02013;0.76; <italic>P</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F3">Figure 3A</xref>). The post-treatment model, which incorporated the treatment method as a factor, had a better predictive effect (AUC, 0.787; 95% CI, 0.71&#x02013;0.85; <italic>P</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F3">Figure 3B</xref>). Compared with conservative treatment, stereotactic aspiration is strongly associated with 30-day survival (OR, 6.67; 95% CI, 3.13&#x02013;14.29; <italic>P</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F3">Figure 3B</xref>). Larger admission hematoma volume (OR, 0.92; 95% CI: 0.88&#x02013;0.97; <italic>P</italic> = 0.001), higher APTT (OR, 0.94; 95% CI: 0.89&#x02013;0.99; <italic>P</italic> = 0.036), and dorsal brainstem hematoma (OR, 0.43; 95% CI: 0.21&#x02013;0.87; <italic>P</italic> = 0.019) upon admission are risk factors for 30-day death in the post-treatment model.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>ROC of the prediction model for the 30-day survival outcome. <bold>(A)</bold> The prediction model for the 30-day survival outcome upon admission. <bold>(B)</bold> The prediction model for the 30-day survival outcome during hospitalization.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-14-1126585-g0003.tif"/>
</fig>
</sec>
<sec>
<title>3.3. Factors upon admission and during hospitalization influencing 90-day consciousness</title>
<p>Among the 211 patients included in the present study, one patient had not yet reached 90 days at the end of the follow-up period, and two patients had lost their memory of the 90-day state. Therefore, we performed statistical analysis on the data of the remaining 208 patients. Univariate analysis of baseline data upon admission revealed that mydriasis (<italic>P</italic> = 0.017; OR, 0.29; 95% CI, 0.11&#x02013;0.78), abnormal light reflex (<italic>P</italic> = 0.002; OR, 0.25; 95% CI, 0.11&#x02013;0.57), GCS score (<italic>P</italic> &#x0003C; 0.001; OR, 1.40; 95% CI, 1.22&#x02013;1.61), emergency mechanical ventilation (<italic>P</italic> = 0.020; OR, 0.31; 95% CI, 0.12&#x02013;0.78), hematoma volume (<italic>P</italic> &#x0003C; 0.001; OR, 0.85; 95% CI, 0.80&#x02013;0.91), dorsal location (<italic>P</italic> &#x0003C; 0.001; OR, 0.27; 95% CI, 0.14&#x02013;0.51), hematoma across the midline (<italic>P</italic> = 0.011; OR, 0.28; 95% CI, 0.11&#x02013;0.71), hematoma expanding to the thalamus (<italic>P</italic> = 0.028; OR, 0.27; 95% CI, 0.08&#x02013;0.93), extension into the basal ganglia (<italic>P</italic> = 0.037; OR, 0.28; 95% CI, 0.08&#x02013;0.99), the presence of intraventricular hemorrhage (<italic>P</italic> &#x0003C; 0.001; OR, 0.34; 95% CI, 0.18&#x02013;0.61), hydrocephalus signs (<italic>P</italic> = 0.047), TnT (<italic>P</italic> &#x0003C; 0.001; OR, 0.00; 95% CI, 0.00&#x02013;0.01), and APTT (<italic>P</italic> &#x0003C; 0.001; OR, 0.91; 95% CI, 0.85&#x02013;0.97) upon admission were significantly associated with the 90-day consciousness outcome (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). Factors during hospitalization including high fever (<italic>P</italic> = 0.002; OR, 0.46; 95% CI, 0.25&#x02013;0.84), myocardial injury (<italic>P</italic> = 0.029; OR, 0.31; 95% CI, 0.10&#x02013;0.93), and blood potassium reduction (<italic>P</italic> = 0.042; OR, 1.66; 95% CI, 1.01&#x02013;2.71) were significantly associated with the 90-day consciousness outcome (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Associations of characteristics during hospitalization with 90-day consciousness.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="center"><bold>All patients (<italic>n</italic> = 208)</bold></th>
<th valign="top" align="center"><bold>Conscious patients (<italic>n</italic> = 67)</bold></th>
<th valign="top" align="center"><bold>Unconscious patients (<italic>n</italic> = 141)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic> value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Laboratory blood examinations during hospitalization</bold></td>
</tr>
<tr>
<td valign="top" align="left">Blood creatinine increase (&#x003BC;mol/L)</td>
<td valign="top" align="center">8 (&#x02212;2 to 33)</td>
<td valign="top" align="center">4 (&#x02212;2 to 18)</td>
<td valign="top" align="center">10 (&#x02212;1 to 44)</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">1.00 (0.99 to 1.00)</td>
</tr>
<tr>
<td valign="top" align="left">Blood sodium increase (&#x003BC;mol/L)</td>
<td valign="top" align="center">4.8 (1.0 to 10.7)</td>
<td valign="top" align="center">4.2 (0.6 to 8.5)</td>
<td valign="top" align="center">5.1 (1.1 to 11.8)</td>
<td valign="top" align="center">0.097</td>
<td valign="top" align="center">0.96 (0.93 to 1.00)</td>
</tr>
<tr>
<td valign="top" align="left">Blood sodium decrease (&#x003BC;mol/L)</td>
<td valign="top" align="center">&#x02212;7.0 (&#x02212;12.0 to&#x02212;2.9)</td>
<td valign="top" align="center">&#x02212;7.0 (&#x02212;10.0 to&#x02212;4.0)</td>
<td valign="top" align="center">&#x02212;7.4 (&#x02212;13.1 to &#x02212;2.3)</td>
<td valign="top" align="center">0.518</td>
<td valign="top" align="center">1.01 (0.97 to 1.05)</td>
</tr>
<tr>
<td valign="top" align="left">Blood potassium increase (&#x003BC;mol/L)</td>
<td valign="top" align="center">0.9 (0.4 to 1.4)</td>
<td valign="top" align="center">0.8 (0.4 to 1.2)</td>
<td valign="top" align="center">0.9 (0.4 to 1.4)</td>
<td valign="top" align="center">0.359</td>
<td valign="top" align="center">0.71 (0.48 to 1.06)</td>
</tr>
<tr>
<td valign="top" align="left">Blood potassium decrease (&#x003BC;mol/L)</td>
<td valign="top" align="center">&#x02212;0.4 (&#x02212;0.9 to &#x02212;0.1)</td>
<td valign="top" align="center">&#x02212;0.3 (&#x02212;0.7 to &#x02212;0.1)</td>
<td valign="top" align="center">&#x02212;0.4 (&#x02212;1.0 to &#x02212;0.1)</td>
<td valign="top" align="center">0.042<sup>&#x0002A;</sup></td>
<td valign="top" align="center">1.66 (1.01 to 2.71)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Treatment method</bold></td>
</tr>
<tr>
<td valign="top" align="left">Stereotactic aspiration</td>
<td valign="top" align="center">112 (54%)</td>
<td valign="top" align="center">35 (52%)</td>
<td valign="top" align="center">77 (55%)</td>
<td valign="top" align="center">0.864</td>
<td valign="top" align="center">0.91 (0.51 to 1.64)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#dee1e1"><bold>Complications during hospitalization</bold></td>
</tr>
<tr>
<td valign="top" align="left">High fever</td>
<td valign="top" align="center">137 (66%)</td>
<td valign="top" align="center">36 (54%)</td>
<td valign="top" align="center">101 (72%)</td>
<td valign="top" align="center">0.002<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.46 (0.25 to 0.84)</td>
</tr>
<tr>
<td valign="top" align="left">Intracranial infection</td>
<td valign="top" align="center">3 (1%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">3 (2%)</td>
<td valign="top" align="center">0.229</td>
<td valign="top" align="center"><italic>NA</italic></td>
</tr>
<tr>
<td valign="top" align="left">Pneumonia</td>
<td valign="top" align="center">182 (88%)</td>
<td valign="top" align="center">59 (88%)</td>
<td valign="top" align="center">123 (87%)</td>
<td valign="top" align="center">0.470</td>
<td valign="top" align="center">1.08 (0.44 to 2.63)</td>
</tr>
<tr>
<td valign="top" align="left">Other infections</td>
<td valign="top" align="center">22 (11%)</td>
<td valign="top" align="center">3 (4%)</td>
<td valign="top" align="center">19 (13%)</td>
<td valign="top" align="center">0.049<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.30 (0.09 to 1.05)</td>
</tr>
<tr>
<td valign="top" align="left">Deep venous thrombosis</td>
<td valign="top" align="center">12 (6%)</td>
<td valign="top" align="center">4 (6%)</td>
<td valign="top" align="center">8 (6%)</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="center">1.05 (0.31 to 3.57)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial injury</td>
<td valign="top" align="center">28 (14%)</td>
<td valign="top" align="center">4 (6%)</td>
<td valign="top" align="center">24 (17%)</td>
<td valign="top" align="center">0.029<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.31 (0.10 to 0.93)</td>
</tr>
<tr>
<td valign="top" align="left">Bed sores</td>
<td valign="top" align="center">30 (14%)</td>
<td valign="top" align="center">10 (15%)</td>
<td valign="top" align="center">20 (14%)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.06 (0.46 to 2.44)</td>
</tr>
<tr>
<td valign="top" align="left">Secondary epilepsy</td>
<td valign="top" align="center">10 (5%)</td>
<td valign="top" align="center">1 (1%)</td>
<td valign="top" align="center">9 (6%)</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">0.22 (0.03 to 1.79)</td>
</tr>
<tr>
<td valign="top" align="left">Digestive tract hemorrhage</td>
<td valign="top" align="center">3 (1%)</td>
<td valign="top" align="center">1 (1%)</td>
<td valign="top" align="center">2 (1%)</td>
<td valign="top" align="center">0.967</td>
<td valign="top" align="center">1.05 (0.09 to 11.11)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>P &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup>P &#x0003C; 0.01.</p>
<p>Data are expressed as n (%), mean &#x000B1; SD, median (IQR), OR (95% CI), as appropriate.</p>
<p>NA, not available.</p>
</table-wrap-foot>
</table-wrap>
<p>As before, multiple logistic regression analysis was performed to construct a prognostic prediction model. We found that the prognosis prediction model upon admission was consistent with that during hospitalization, indicating no more risk factors during hospitalization for the 90-day consciousness outcome. According to our statistical analysis and potential biological links of the significant predictive factors with treatment outcome, we selected five factors out of 19 significant factors to build the prognosis prediction model: hematoma volume, dorsal brainstem hematoma, and extension into the thalamus, which may be associated with the impaired reticular activating system and its projections posteriorly to the thalamus; APTT, implying the possibility of rebleeding and imperceptible microbleeds during hospitalization; and mydriasis, involving the oculomotor nerve or oculomotor nuclei in the deep brainstem. The 90-day consciousness prognosis prediction model had an excellent predictive effect (AUC, 0.835; 95% CI, 0.78&#x02013;0.89; <italic>P</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F4">Figure 4</xref>). Dorsal brainstem and thalamus involvement, higher APTT, and mydriasis upon admission are risk factors for 90-day unconsciousness in the prediction model.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>ROC of the prediction model for the 90-day consciousness outcome.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneur-14-1126585-g0004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4. Discussion</title>
<p>In the present study, we found that several factors are positively or negatively associated with 30-day survival and 90-day consciousness outcome, including clinical variables, radiological variables, and laboratory variables upon admission and during hospitalization, in a large database of 211 patients with PBSH.</p>
<sec>
<title>4.1. Epidemiology</title>
<p>The incidence of ICH is higher among Chinese and men than among Caucasians and women, respectively (<xref ref-type="bibr" rid="B18">18</xref>). It is noteworthy that there is a prominent prevalence of male sex in the population with PBSH. For example, 202 (72%) out of 281 subjects and 59 (79%) out of 75 subjects were male in Korean and Chinese study populations, respectively (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). In accordance with these results, the present study also showed a higher prevalence of men (83%). The reasons underlying the higher incidence of ICH and the higher risk of PBSH in men in the Chinese population are not clear but may be related to differences in the prevalence of vascular risk factors, personal living habits, and health conditions prior to their illness. Chinese people have been found to have higher rates of hypertension and higher susceptibility to micro-bleeding events and intracranial hemorrhage due to anticoagulation medication compared with other ethnic groups, which are more common in men (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Although men had a higher incidence, gender was not a prognostic factor in this study. A possible explanation could be that if a brainstem hemorrhage occurred, the clinical outcome does not differ significantly because of its high rate of mortality.</p>
</sec>
<sec>
<title>4.2. Radiological factors associated with primary outcomes</title>
<sec>
<title>4.2.1. Hematoma location</title>
<p>There is currently no unified classification for PBSH. In a study of 62 cases published in 1992, a close relationship was observed between overall survival and hematoma location, in which case, the survival rate is the highest in the small unilateral tegmental type and the lowest in the massive type with its bilateral spread into both the basis pontis and the tegmentum (<xref ref-type="bibr" rid="B21">21</xref>). Studies using another classification system emphasized the importance of the ventral and dorsal sides and reported that dorsal hematoma showed better recovery than ventral hematoma (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>). However, in the present study, the dorsal location of the hematoma is related to an unfavorable outcome. This might be explained by the fact that hematoma of the dorsal type is caused by rupture of the penetrating and long circumferential vessels that enter the tegmentum dorsally and course medially, resulting in rapid destruction of the brain stem as well as the reticular activating system in the pontine tegmentum.</p>
</sec>
<sec>
<title>4.2.2. Hematoma extension associated with primary outcomes</title>
<p>Hematoma extension into the midbrain with or without the thalamus was shown to be independently associated with death (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Here, thalamic involvement could predict adverse outcomes, including death and unconsciousness, which might be caused by a vertically widespread extension of brainstem hematoma. Moreover, intraventricular extension and acute hydrocephalus were not correlated with death but were significantly more common in unconscious patients who survived, indicating a non-lethal but impaired functional outcome. The possible explanation may be that the primary brain injury to the vital structures within the brain parenchyma is more important than the secondary injury consisting of mass effect and toxic effect in the ventricular system, causing different clinical outcomes in the short and long term.</p>
</sec>
</sec>
<sec>
<title>4.3. Laboratory evaluation</title>
<p>Abnormal coagulation function implies the possibility of rebleeding where APTT is the main indicator of endogenous coagulation status <italic>in vivo</italic> and it changes with coagulation status. Previous studies have found it to be an independent risk factor for cerebral micro-bleeding events in patients with ICH (<xref ref-type="bibr" rid="B25">25</xref>). Similarly, we found higher APTT was a significant predictor of death and unconsciousness in patients with PBSH. Therefore, for PBSH with prolonged APTT, further imaging examination should be advised for screening micro-bleeding events, which can further guide the treatment assessment.</p>
</sec>
<sec>
<title>4.4. Surgical management and its impact on outcomes</title>
<p>Neurosurgical interventions such as hematoma evacuation remain controversial for PBSH because randomized clinical studies have failed to demonstrate a clear benefit to surgical management. The efficacy and safety of surgery for patients with PBSH remain debatable. With the application of stereotactic equipment and anticoagulant urokinase, it is endowed with less invasive damage, higher precision, and a hematoma clearance rate than traditional surgical methods. Conceptually, in addition to reducing the space-occupying effect and intracranial pressure, the evacuation of the hematoma is also aimed at removing the hemorrhagic products that cause acute inflammation and degradation of the brain parenchyma. In the present study, stereotactic aspiration was found to be a strong protective factor for survival but not for consciousness. Hematoma clearance by stereotactic aspiration is effective in removing the lethal factors but does not prevent subsequent edema and arterial necrosis, which usually begin and exacerbate the symptoms 6 h after the initial hemorrhage in the brainstem, which may be the cause of the unimproved consciousness (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec>
<title>4.5. Indicators for short- and long-term clinical outcomes</title>
<p>In selecting the prognostic indicators, we aimed to cover both the short-term prognosis and the mid-term to long-term prognoses of the patients. According to an epidemiological study based on 20 studies including 1,437 patients, the all-cause 30-day mortality rate among patients with pontine hemorrhage was &#x0007E; 48% (<xref ref-type="bibr" rid="B6">6</xref>). These results generally seem to represent the natural course of the condition because surgery was seldom performed. Moreover, at our institute, we found that death after 30 days was often not directly caused by the brainstem hemorrhage itself but rather by complications (mainly infection), which led to many confounding factors (nursing level, treatment conditions for subsequent rehabilitation, etc.) that further affected the long-term survival rate. Therefore, the 30-day survival was chosen as a suitable short-term indicator.</p>
<p>Similarly, the 90-day consciousness outcome was selected as a mid-term to long-term prognostic indicator. Patients with PBSH are prone to early coma (90% of patients in this study were in a coma upon admission), and it takes a certain amount of time to become conscious. The reasons for not choosing a longer period of time were the lack of follow-up time for some patients and the smaller difference in the long-term consciousness rate than in the 90-day consciousness rate between groups.</p>
</sec>
<sec>
<title>4.6. Limitations</title>
<p>The present study had some limitations. First, this retrospective study was performed using data obtained at a single institute, so our results may not accurately represent the national situation. Second, it is debatable to conclude that surgical treatment is the more effective treatment modality in patients with PBSH due to the lack of randomization and the selection bias introduced by choosing treatment modalities. Although our indication for stereotactic aspiration (hematoma volume &#x0003E; 5 ml and GCS &#x0003C;8) was much more stringent than the selection criteria for all 211 included patients, stereotactic aspiration was still found to be a strong protective factor for 30-day survival. Even so, such a selection bias has affected the generalizability of our findings. In the future, a prospective, randomized clinical trial with the involvement of multiple centers and other ethnicities is necessary for better evaluation of the effect of stereotactic aspiration in patients with PBSH. Third, the means of determining clinical outcomes differed from those used in similar studies. Important functional improvement may have been overlooked due to the inclusion of a simple primary outcome score to reduce recall bias.</p>
<p>To overcome these limitations, a more comprehensive, comparative, and prospective study is required, with detailed outcome measures such as functional improvement. Nevertheless, it is hoped that knowledge of the predictors of mortality and functional recovery identified in the present study will improve patient outcomes and individual patient management.</p>
</sec>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Second Affiliated Hospital Zhejiang University School of Medicine. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>All the authors participated in analyzing and discussing the literature, commenting on, and approving the manuscript. All authors read and approved the final manuscript.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This work was supported by a grant from the Natural Science Foundation of Zhejiang Province (TGD23C040017).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
<sec sec-type="supplementary-material" id="s10">
<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/fneur.2023.1126585/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fneur.2023.1126585/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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