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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.2021.678884</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>Monocyte to High-Density Lipoprotein Ratio Is Associated With Early Neurological Deterioration in Acute Isolated Pontine Infarction</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bi</surname> <given-names>Xinwei</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/1207149/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Xiaoqian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1373332/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Jiaqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1273142/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Neurology, Beijing Shijitan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pharmacy, Affiliated Hospital of Shandong University of Traditional Chinese Medicine</institution>, <addr-line>Jinan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Michael Graner, University of Colorado Denver, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Wen-Jun Tu, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Raffaele Ornello, University of L&#x00027;Aquila, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Xinwei Bi <email>bixinwei&#x00040;ccmu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Stroke, a section of the journal Frontiers in Neurology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>678884</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>03</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>05</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Bi, Liu and Cheng.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Bi, Liu and Cheng</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><p><bold>Objectives:</bold> The monocyte to high-density lipoprotein ratio (MHR) has been considered to be a novel inflammatory marker of atherosclerotic cardiovascular disease. However, its role in the acute phase of acute isolated pontine infarctions remains elusive. We explored whether an association existed between elevated MHR levels and early neurological deterioration (END) in patients with isolated pontine infarction.</p>
<p><bold>Methods:</bold> Data from 212 patients with acute isolated pontine infarction were retrospectively analyzed. We examined the MHR in quartiles of increasing levels to evaluate for possible threshold effects. END was defined as an elevation in the total National Institutes of Health Stroke Scale (NIHSS) score &#x02265;2 or an increase in NIHSS score &#x02265;1 in motor power within the first week after symptom onset. Patients were divided into an END group and a non-END group. The association of MHR on END following pontine infarction was examined by logistic regression models after adjusting for age, NIHSS at admission, basilar artery stenosis, history of hypertension or hyperlipidemia or stroke, infarct size, fasting blood glucose, and paramedian pontine infarction.</p>
<p><bold>Results:</bold> The mean MHR was 0.44 &#x000B1; 0.22. A total of 58 (27.36%) patients were diagnosed with END. END occurred within the first 48 h after hospitalization in 38 patients (65.52%). After adjusting for confounding and risk factors, the multivariate logistic regression analysis showed NIHSS at admission [odds ratio (OR), 1.228; 95% confidence interval (CI), 1.036&#x02013;1.456], basilar artery stenosis (OR, 2.843; 95% CI, 1.205&#x02013;6.727), and fasting blood glucose (OR, 1.296; 95% CI, 1.004&#x02013;1.672) were independently associated with END. The odds ratio of END increased as the quartile level of MHR increased, with the lowest quartile used as the reference value. Compared to the first quartile of MHR, the third and fourth quartiles were associated with 4.847-fold (95% CI, 1.532&#x02013;15.336) and 5.824-fold (95% CI, 1.845&#x02013;18.385) higher odds of END in multivariate analysis.</p>
<p><bold>Conclusions:</bold> Elevated MHR levels may be valuable as a biomarker of END in patients with isolated pontine infarction. The elevated MHR was independently associated with END in isolated pontine infarction.</p></abstract>
<kwd-group>
<kwd>acute isolated pontine infarction</kwd>
<kwd>early neurological deterioration</kwd>
<kwd>monocyte to high-density lipoprotein ratio</kwd>
<kwd>monocyte</kwd>
<kwd>high-density lipoprotein</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="9"/>
<word-count count="6422"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Worsening neurological deficits, also known as early neurological deterioration (END), occur in up to one-third of patients with acute ischemic stroke and have been shown to be associated with increased mortality and subsequent functional disabilities (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Pontine infarctions account for &#x0007E;7% of all ischemic strokes, and isolated pontine infarctions are the most common type related to the posterior circulation, accounting for &#x0007E;15% of cases (<xref ref-type="bibr" rid="B3">3</xref>). Extensive studies regarding END prediction in isolated pontine infarction have been performed to enable physicians to better predict END occurrence (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>). With the popularity of magnetic resonance imaging (MRI) in clinical practice, the correlation between neurological impairment and topographic location has been deeply studied (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). There are also some studies concerning the treatment and prognosis of ischemic stroke (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). However, there are few studies on hematological indexes in the study of the aggravation of nervous system function. Recently, the monocyte to high-density lipoprotein ratio (MHR) has been considered to be a novel inflammatory marker of atherosclerotic cardiovascular disease, especially coronary artery disease (<xref ref-type="bibr" rid="B11">11</xref>). It has been reported to be related to the prediction of ischemic stroke from the general population (<xref ref-type="bibr" rid="B12">12</xref>) and carotid artery intima-media thickness in patients with type 2 diabetes (<xref ref-type="bibr" rid="B13">13</xref>). In stroke-related studies, MHR has been reported to be a good predictive value of stroke-associated pneumonia (<xref ref-type="bibr" rid="B14">14</xref>) and mortality in patients with ischemic stroke (<xref ref-type="bibr" rid="B15">15</xref>). However, there are no studies exploring the value of MHR in predicting END in patients with acute isolated pontine infarction. Therefore, the aim of our study is to elucidate the association between MHR with END after acute isolated pontine infarction.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Patients</title>
<p>A total of 2,789 consecutive patients with ischemic stroke registered at the Department of Neurology, Beijing Shijitan Hospital, Capital Medical University from January 2015 to December 2020 were retrieved. Patients were included in the analysis if they met the following criteria: (a) hospitalization within 48 h after the onset of symptoms, (b) acute ischemic lesions within the unilateral pons on diffusion-weighted imaging (DWI), and (c) modified Rankin scale (mRS) score &#x0003C;2 before admission. Patients were excluded if they (a) had no available DWI within 72 h of initial presentation, (b) had infraction of the anterior circulation infarction and/or other parts of the vertebrobasilar system on DWI, and (c) had deterioration due to extracerebral illnesses, such as infection, aspiration pneumonia, hypotension, metabolic disturbances, dehydration, and/or respiratory/heart failure. A flow chart of patient inclusion is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flowchart of study population inclusion and exclusion.</p></caption>
<graphic xlink:href="fneur-12-678884-g0001.tif"/>
</fig></sec>
<sec>
<title>Clinical Information and Assessment</title>
<p>The following clinical data were retrospectively obtained: age, sex, and vascular risk factors including diabetes mellitus, hypertension, coronary heart disease, hyperlipidemia, previous stroke, and the presence of current smoking. On admission, all patients received brain MRI, magnetic resonance angiography (MRA), carotid artery color Doppler ultrasound, and transcranial Doppler. The following criteria were considered to be vascular risk factors: history of stroke was defined as prior ischemic stroke or transient ischemic attack. Smoking was defined as smoking &#x02265;1 cigarette per day continuously for at least 1 year.</p>
<p>Blood samples were collected on the second day in the morning within 24 h of hospital admission after an 8-h fasting period. Biochemical variables, including serum high-density lipoprotein cholesterol (HDL-C), were measured using an AU5832 automatic biochemical analyzer (Beckman Coulter, Tokyo, Japan). White blood cell (WBC) and monocyte levels were analyzed using a Xe5000 automatic hematology analyzer (SYSMEX, Kobe, Japan). The MHR was calculated as the ratio of the monocyte (&#x000D7; 10<sup>9</sup>/L) count to HDL-C (mmol/L) level.</p>
<p>Severity of neurological impairment was assessed using the National Institutes of Health Stroke Scale (NIHSS) score immediately before MRI scans on admission, within the first 7 days after symptom onset. END was defined as an elevation in the total NIHSS score &#x02265;2 or an increase in NIHSS score &#x02265;1 in motor power within the first week after symptom onset (<xref ref-type="bibr" rid="B7">7</xref>). Patients were divided into an END group and a non-END group based on the incremental increase in NIHSS score. The neurological status of patients was evaluated by trained neurologists on a daily basis.</p>
<sec>
<title>Imaging Protocol and Morphometric Analysis</title>
<p>MRI was performed within 48 h after admission using a 3.0-T MRI unit (Ingenia, Philips, Best, the Netherlands). Morphometric measurement was performed on axial DWI with the following imaging parameters: repetition time = 2,800 ms, echo time = 90 ms, slice/gap = 5 mm/0.5 mm, voxel = 1.0 &#x000D7; 1.0 mm<sup>2</sup>, field-of-view = 230 &#x000D7; 230 mm<sup>2</sup>, and scan time = 35 min. The diffusion sensitivity coefficient B was set to 0 and 1,000 s/mm<sup>2</sup>. DWI was positive for DWI with a high b value and had low a signal according to the apparent diffusion coefficient (ADC). Infarct size (IS) was measured at the axial position on DWI. The maximal ventrodorsal length (A) and width (maximum dimension in a direction perpendicular to the ventrodorsal length, B) of each infarct on axial DWI were measured. We used A &#x000D7; B to represent IS. All morphometric measurements were performed twice, and the mean value was used (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Acute pontine infarctions on axial diffusion-weighted imaging are shown in I and II. The maximal ventrodorsal <bold>(A)</bold> length and <bold>(B)</bold> width of each infarct were measured on axial MRI. A &#x000D7; B was used to define the infarction size (IS).</p></caption>
<graphic xlink:href="fneur-12-678884-g0002.tif"/>
</fig>
<p>Basilar artery stenosis was defined as a reduction in the caliber of the basilar artery by at least 50% or occlusion of the basilar artery. Isolated pontine infarctions were divided into paramedian pontine infarction (PPI) and lacunar pontine infarction (LPI) (<xref ref-type="bibr" rid="B16">16</xref>). PPI was defined as a lesion that extends to the anterior surface of the pons, and LPI was defined as a lesion that does not extend to the basal surface of the pons. The morphometric analysis was performed by at least two neurologists and radiologists.</p></sec></sec>
<sec>
<title>Statistical Analysis</title>
<p>We examined the total MHR in quartiles of increasing levels to evaluate for possible threshold effects. Patients were divided into quartiles based on the MHR (Q1, &#x0003C;0.24; Q2, 0.24&#x02013;0.42; Q3, 0.43&#x02013;0.55; and Q4, &#x02265;0.56). For group comparisons, analysis of variance or the Kruskal&#x02013;Wallis rank-sum test was used to compare continuous variables, and the chi-square test was applied for categorical variables. According to the END and non-END groups, baseline characteristics and risk factors were compared using Student&#x00027;s <italic>t</italic>-test (continuous variables) or the &#x003C7;<sup>2</sup> test or Fisher&#x00027;s exact test (categorical variables), as appropriate. Continuous variables and categorical variables are expressed as mean (&#x000B1; SD) and frequency (percentage), respectively. Multivariate analyses were performed to determine independent factors associated with END, and the lowest quartile was used as the reference. Considering the close correlation between MHR and monocyte count and HDL level, only the MHR was included in the logistic regression. A receiver-operating characteristic curve was constructed to assess the sensitivity, specificity, and area under the curve of possible contributing factors to discriminate the END group from the non-END group. Spearman correlation was used to judge the relationship between the level of MHR and NIHSS. SPSS version 23.0 for Windows was used for statistical analysis. A two-sided <italic>P</italic> &#x0003C; 0.05 was considered statistically significant.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Among 2,789 consecutive patients with ischemic stroke, 218 (7.82%) were diagnosed with an isolated pontine infarction, 6 of whom experienced aggravation due to extracerebral illness. A total of 212 patients with acute isolated pontine infarctions were included in the final analysis. The mean age of patients was 68.27 &#x000B1; 11.57 years, and 127 (59.9%) were male. The mean NIHSS score was 3.59 &#x000B1; 2.25. A total of 41 (19.3%) patients had basilar artery stenosis. END was diagnosed in 58 (27.36%) patients. END occurred within the first 48 h after admission in 38 patients (65.52%). The mean MHR level was 0.44 &#x000B1; 0.22. Detailed demographic data are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. As expected, the presence of basilar artery stenosis (<italic>P</italic> = 0.028), hypertension (<italic>P</italic> = 0.028), and END (<italic>P</italic> = 0.001) was significantly different between groups.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of patients with isolated pontine infarction according to monocyte to high-density lipoprotein ratio quartile.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>MHR</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>&#x0003C;0.24 (<italic>N</italic> &#x0003D; 52)</bold></th>
<th valign="top" align="center"><bold>0.24&#x02013;0.42 (<italic>N</italic> &#x0003D; 55)</bold></th>
<th valign="top" align="center"><bold>0.43&#x02013;0.55 (<italic>N</italic> &#x0003D; 53)</bold></th>
<th valign="top" align="center"><bold>&#x02265;0.56 (<italic>N</italic> &#x0003D; 52)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">67.89 &#x000B1; 11.54</td>
<td valign="top" align="center">67.33 &#x000B1; 13.74</td>
<td valign="top" align="center">71.28 &#x000B1; 10.96</td>
<td valign="top" align="center">66.50 &#x000B1; 9.19</td>
<td valign="top" align="center">0.157</td>
</tr>
<tr>
<td valign="top" align="left">Sex, male</td>
<td valign="top" align="center">39 (31.2)</td>
<td valign="top" align="center">30 (32.9)</td>
<td valign="top" align="center">31 (31.8)</td>
<td valign="top" align="center">27 (31.2)</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><bold>Risk factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">13 (25.0)</td>
<td valign="top" align="center">16 (29.1)</td>
<td valign="top" align="center">16 (30.2)</td>
<td valign="top" align="center">13 (52.0)</td>
<td valign="top" align="center">0.899</td>
</tr>
<tr>
<td valign="top" align="left">History of hypertension</td>
<td valign="top" align="center">28 (53.8)</td>
<td valign="top" align="center">18 (32.7)</td>
<td valign="top" align="center">32 (60.4)</td>
<td valign="top" align="center">25 (25.3)</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">History of diabetes mellitus</td>
<td valign="top" align="center">14 (26.9)</td>
<td valign="top" align="center">19 (34.5)</td>
<td valign="top" align="center">24 (45.3)</td>
<td valign="top" align="center">15 (28.8)</td>
<td valign="top" align="center">0.188</td>
</tr>
<tr>
<td valign="top" align="left">History of stroke</td>
<td valign="top" align="center">5 (9.6)</td>
<td valign="top" align="center">9 (16.4)</td>
<td valign="top" align="center">9 (17.0)</td>
<td valign="top" align="center">11 (21.2)</td>
<td valign="top" align="center">0.461</td>
</tr>
<tr>
<td valign="top" align="left">History of atrial fibrillation</td>
<td valign="top" align="center">3 (5.8)</td>
<td valign="top" align="center">1 (1.8)</td>
<td valign="top" align="center">5 (9.4)</td>
<td valign="top" align="center">5 (9.6)</td>
<td valign="top" align="center">0.277</td>
</tr>
<tr>
<td valign="top" align="left">History of coronary heart disease</td>
<td valign="top" align="center">16 (30.8)</td>
<td valign="top" align="center">12 (21.8)</td>
<td valign="top" align="center">12 (22.6)</td>
<td valign="top" align="center">7 (13.5)</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td valign="top" align="left">History of hyperlipidemia</td>
<td valign="top" align="center">37 (33.4)</td>
<td valign="top" align="center">33 (35.3)</td>
<td valign="top" align="center">33 (34.0)</td>
<td valign="top" align="center">33 (33.4)</td>
<td valign="top" align="center">0.656</td>
</tr>
<tr>
<td valign="top" align="left">Basilar artery stenosis</td>
<td valign="top" align="center">4 (7.7)</td>
<td valign="top" align="center">10 (18.2)</td>
<td valign="top" align="center">11 (20.8)</td>
<td valign="top" align="center">16 (30.8)</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">Initial SBP, mmHg</td>
<td valign="top" align="center">147.69 &#x000B1; 16.58</td>
<td valign="top" align="center">144.58 &#x000B1; 18.30</td>
<td valign="top" align="center">140.87 &#x000B1; 16.70</td>
<td valign="top" align="center">141.56 &#x000B1; 16.43</td>
<td valign="top" align="center">0.155</td>
</tr>
<tr>
<td valign="top" align="left">Initial DBP, mmHg</td>
<td valign="top" align="center">83.25 &#x000B1; 8.78</td>
<td valign="top" align="center">82.85 &#x000B1; 8.84</td>
<td valign="top" align="center">80.96 &#x000B1; 8.22</td>
<td valign="top" align="center">82.23 &#x000B1; 9.19</td>
<td valign="top" align="center">0.559</td>
</tr>
<tr>
<td valign="top" align="left">NIHSS at admission</td>
<td valign="top" align="center">3.44 &#x000B1; 2.08</td>
<td valign="top" align="center">3.18 &#x000B1; 2.03</td>
<td valign="top" align="center">3.71 &#x000B1; 2.35</td>
<td valign="top" align="center">4.02 &#x000B1; 2.51</td>
<td valign="top" align="center">0.254</td>
</tr>
<tr>
<td valign="top" align="left">HbA<sub>1C</sub></td>
<td valign="top" align="center">5.64 &#x000B1; 0.95</td>
<td valign="top" align="center">5.77 &#x000B1; 0.88</td>
<td valign="top" align="center">5.57 &#x000B1; 0.89</td>
<td valign="top" align="center">5.95 &#x000B1; 1.18</td>
<td valign="top" align="center">0.243</td>
</tr>
<tr>
<td valign="top" align="left">IS, mm<sup>2</sup></td>
<td valign="top" align="center">1.16 &#x000B1; 0.56</td>
<td valign="top" align="center">0.88 &#x000B1; 0.57</td>
<td valign="top" align="center">0.94 &#x000B1; 0.58</td>
<td valign="top" align="center">1.32 &#x000B1; 0.89</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">FBG, mmol/L</td>
<td valign="top" align="center">6.05 &#x000B1; 1.21</td>
<td valign="top" align="center">5.95 &#x000B1; 1.08</td>
<td valign="top" align="center">6.09 &#x000B1; 1.43</td>
<td valign="top" align="center">6.40 &#x000B1; 1.83</td>
<td valign="top" align="center">0.914</td>
</tr>
<tr>
<td valign="top" align="left">TOB, h</td>
<td valign="top" align="center">18.71 &#x000B1; 11.84</td>
<td valign="top" align="center">20.29 &#x000B1; 11.37</td>
<td valign="top" align="center">21.94 &#x000B1; 11.19</td>
<td valign="top" align="center">22.40 &#x000B1; 12.10</td>
<td valign="top" align="center">0.352</td>
</tr>
<tr>
<td valign="top" align="left">END</td>
<td valign="top" align="center">6 (11.5)</td>
<td valign="top" align="center">11 (20.0)</td>
<td valign="top" align="center">18 (34.0)</td>
<td valign="top" align="center">23 (44.2)</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MHR, monocyte to high-density lipoprotein ratio; END, early neurological deterioration; SBP, systolic blood pressure; DBP, diastolic blood pressure; PPI, paramedian pontine infarction; LPI, lacunar pontine infarction; NIHSS, National Institutes of Health Stroke Scale; HbA1C, glycosylated hemoglobin; TOB, time from onset to blood sample collection</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Patient baseline clinical characteristics in the END and non-END groups are shown in <xref ref-type="table" rid="T2">Table 2</xref>. Basilar artery stenosis (<italic>P</italic> = 0.002), NIHSS at admission (<italic>P</italic> &#x0003C; 0.001), previous stroke (<italic>P</italic> = 0.049), and PPI (<italic>P</italic> = 0.001) were significantly higher in the END group than in the non-END group. Prevalence of hypertension, diabetes, coronary heart disease, hyperlipidemia, atrial fibrillation, and current smoking showed no significant difference between the two groups.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparison of demographic and clinical characteristics between the END non-END groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>All patients (<italic>N</italic> &#x0003D; 212)</bold></th>
<th valign="top" align="center"><bold>END (<italic>N</italic> &#x0003D; 58)</bold></th>
<th valign="top" align="center"><bold>Non-END (<italic>N</italic> &#x0003D; 154)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">68.27 &#x000B1; 11.57</td>
<td valign="top" align="center">68.54 &#x000B1; 11.80</td>
<td valign="top" align="center">67.57 &#x000B1; 11.00</td>
<td valign="top" align="center">0.587</td>
</tr>
<tr>
<td valign="top" align="left">Sex, male</td>
<td valign="top" align="center">127 (59.9)</td>
<td valign="top" align="center">29 (50.0)</td>
<td valign="top" align="center">98 (63.6)</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center">23.98 &#x000B1; 2.01</td>
<td valign="top" align="center">24.12 &#x000B1; 2.00</td>
<td valign="top" align="center">23.61 &#x000B1; 1.98</td>
<td valign="top" align="center">0.096</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Risk factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">58 (27.4)</td>
<td valign="top" align="center">20 (34.5)</td>
<td valign="top" align="center">38 (24.7)</td>
<td valign="top" align="center">0.153</td>
</tr>
<tr>
<td valign="top" align="left">History of hypertension</td>
<td valign="top" align="center">103 (48.6)</td>
<td valign="top" align="center">28 (48.3)</td>
<td valign="top" align="center">75 (48.7)</td>
<td valign="top" align="center">0.956</td>
</tr>
<tr>
<td valign="top" align="left">History of diabetes mellitus</td>
<td valign="top" align="center">72 (34.0)</td>
<td valign="top" align="center">18 (31.0)</td>
<td valign="top" align="center">54 (35.1)</td>
<td valign="top" align="center">0.581</td>
</tr>
<tr>
<td valign="top" align="left">History of stroke</td>
<td valign="top" align="center">34 (16.0)</td>
<td valign="top" align="center">14 (24.1)</td>
<td valign="top" align="center">20 (13.0)</td>
<td valign="top" align="center">0.049</td>
</tr>
<tr>
<td valign="top" align="left">History of atrial fibrillation</td>
<td valign="top" align="center">14 (6.6)</td>
<td valign="top" align="center">6 (10.3)</td>
<td valign="top" align="center">8 (5.2)</td>
<td valign="top" align="center">0.215</td>
</tr>
<tr>
<td valign="top" align="left">History of coronary heart disease</td>
<td valign="top" align="center">47 (22.2)</td>
<td valign="top" align="center">9 (15.5)</td>
<td valign="top" align="center">38 (24.7)</td>
<td valign="top" align="center">0.152</td>
</tr>
<tr>
<td valign="top" align="left">History of hyperlipidemia</td>
<td valign="top" align="center">136 (64.2)</td>
<td valign="top" align="center">37 (63.8)</td>
<td valign="top" align="center">99 (64.3)</td>
<td valign="top" align="center">0.947</td>
</tr>
<tr>
<td valign="top" align="left">Basilar artery stenosis</td>
<td valign="top" align="center">41 (19.3)</td>
<td valign="top" align="center">19 (32.8)</td>
<td valign="top" align="center">22 (14.3)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Initial SBP, mmHg</td>
<td valign="top" align="center">143.67 &#x000B1; 17.13</td>
<td valign="top" align="center">144.53 &#x000B1; 17.79</td>
<td valign="top" align="center">143.35 &#x000B1; 16.92</td>
<td valign="top" align="center">0.655</td>
</tr>
<tr>
<td valign="top" align="left">Initial DBP, mmHg</td>
<td valign="top" align="center">82.33 &#x000B1; 8.74</td>
<td valign="top" align="center">81.53 &#x000B1; 9.69</td>
<td valign="top" align="center">82.62 &#x000B1; 8.37</td>
<td valign="top" align="center">0.42</td>
</tr>
<tr>
<td valign="top" align="left">NIHSS at admission</td>
<td valign="top" align="center">3.59 &#x000B1; 2.25</td>
<td valign="top" align="center">4.64 &#x000B1; 2.31</td>
<td valign="top" align="center">3.19 &#x000B1; 2.10</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">PPI</td>
<td valign="top" align="center">91 (42.9)</td>
<td valign="top" align="center">36 (62.1)</td>
<td valign="top" align="center">55 (35.7)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">LPI</td>
<td valign="top" align="center">121 (57.1)</td>
<td valign="top" align="center">22 (37.9)</td>
<td valign="top" align="center">99 (64.3)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">TOB, h</td>
<td valign="top" align="center">20.83 &#x000B1; 11.63</td>
<td valign="top" align="center">19.02 &#x000B1; 10.19</td>
<td valign="top" align="center">21.52 &#x000B1; 12.09</td>
<td valign="top" align="center">0.133</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>END, early neurological deterioration; SBP, systolic blood pressure; DBP, diastolic blood pressure; PPI, paramedian pontine infarction; LPI, lacunar pontine infarction; NIHSS, National Institutes of Health Stroke Scale; BMI, body mass index; TOB, time from onset to blood sample collection</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Patient laboratory test and imaging results are shown in <xref ref-type="table" rid="T3">Table 3</xref>. Patients in the END group had larger infarct size (<italic>P</italic> = 0.004), higher HR (<italic>P</italic> &#x0003C; 0.001), higher blood glucose level on admission (<italic>P</italic> &#x0003C; 0.001), and higher monocyte count (<italic>P</italic> &#x0003C; 0.001) than those patients in the non-END group. At the same time, compared with that in the non-END group, the HDL level in the END group was lower (<italic>P</italic> = 0.024).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Laboratory and imaging data in the END and non-END groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Data</bold></th>
<th valign="top" align="center"><bold>END (<italic>N</italic> &#x0003D; 58)</bold></th>
<th valign="top" align="center"><bold>Non-END (<italic>N</italic> &#x0003D; 154)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FBG, mmol/L</td>
<td valign="top" align="center">6.62 &#x000B1; 1.73</td>
<td valign="top" align="center">5.92 &#x000B1; 1.22</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Platelet, &#x000D7; 10<sup>9</sup>/L</td>
<td valign="top" align="center">209.15 &#x000B1; 777.61</td>
<td valign="top" align="center">227.05 &#x000B1; 69.90</td>
<td valign="top" align="center">0.108</td>
</tr>
<tr>
<td valign="top" align="left">D-dimer, ng/dl</td>
<td valign="top" align="center">168.91 &#x000B1; 70.45</td>
<td valign="top" align="center">179.03 &#x000B1; 74.49</td>
<td valign="top" align="center">0.372</td>
</tr>
<tr>
<td valign="top" align="left">Cr, &#x003BC;mol/L</td>
<td valign="top" align="center">71.71 &#x000B1; 16.86</td>
<td valign="top" align="center">70.70 &#x000B1; 15.36</td>
<td valign="top" align="center">0.680</td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#x000D7; 10<sup>9</sup>/L</td>
<td valign="top" align="center">6.89 &#x000B1; 1.85</td>
<td valign="top" align="center">6.58 &#x000B1; 1.86</td>
<td valign="top" align="center">0.282</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil, &#x000D7; 10<sup>9</sup>/L</td>
<td valign="top" align="center">4.34 &#x000B1; 1.55</td>
<td valign="top" align="center">4.02 &#x000B1; 1.57</td>
<td valign="top" align="center">0.176</td>
</tr>
<tr>
<td valign="top" align="left">Monocyte, &#x000D7; 10<sup>9</sup>/L</td>
<td valign="top" align="center">0.55 &#x000B1; 0.28</td>
<td valign="top" align="center">0.41 &#x000B1; 0.16</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte, &#x000D7; 10<sup>9</sup>/L</td>
<td valign="top" align="center">1.83 &#x000B1; 0.79</td>
<td valign="top" align="center">1.72 &#x000B1; 0.56</td>
<td valign="top" align="center">0.335</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin, g/L</td>
<td valign="top" align="center">143.57 &#x000B1; 36.73</td>
<td valign="top" align="center">134.61 &#x000B1; 24.84</td>
<td valign="top" align="center">0.090</td>
</tr>
<tr>
<td valign="top" align="left">Total protein, g/L</td>
<td valign="top" align="center">74.93 &#x000B1; 52.09</td>
<td valign="top" align="center">71.78 &#x000B1; 45.45</td>
<td valign="top" align="center">0.665</td>
</tr>
<tr>
<td valign="top" align="left">HDL, mmol/L</td>
<td valign="top" align="center">1.01 &#x000B1; 0.31</td>
<td valign="top" align="center">1.19 &#x000B1; 0.57</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left">LDL, mmol/L</td>
<td valign="top" align="center">2.29 &#x000B1; 0.96</td>
<td valign="top" align="center">2.39 &#x000B1; 1.02</td>
<td valign="top" align="center">0.515</td>
</tr>
<tr>
<td valign="top" align="left">MHR</td>
<td valign="top" align="center">0.57 &#x000B1; 0.25</td>
<td valign="top" align="center">0.39 &#x000B1; 0.19</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">IS, m<sup>2</sup></td>
<td valign="top" align="center">1.29 &#x000B1; 0.78</td>
<td valign="top" align="center">0.99 &#x000B1; 0.62</td>
<td valign="top" align="center">0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>FBG, fasting blood glucose; IS, infarct size; BMI, body mass index; WBC, white blood cell; HDL, high-density lipoprotein; LDL, low-density lipoprotein</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>As presented in <xref ref-type="table" rid="T4">Table 4</xref>, multivariate logistic regression analysis showed that NIHSS at admission [<italic>P</italic> = 0.018, odds ratio (OR) = 1.228, 95% confidence interval (CI) = 1.036&#x02013;1.456], basilar artery stenosis (<italic>P</italic> = 0.021, OR = 2.843, 95% CI = 1.205&#x02013;6.727), and fasting blood glucose (<italic>P</italic> = 0.046, OR = 1.296, 95% CI = 1.004&#x02013;1.672) were independently associated with END. The odds ratio for END increased with increasing quartile of MHR with the lowest quartile used as the reference value. A high (&#x02265;0.43) MHR was independently associated with END (third quartile OR, 4.847; 95% CI, 1.532&#x02013;15.336; fourth quartile OR, 5.824; 95% CI, 1.845&#x02013;18.385) in multivariate analysis. The third and fourth highest quartiles of MHR levels were identified to be independently associated with END. Receiver-operating characteristic curve analysis suggested the sensitivity, specificity, and area under the curve for MHR to discriminate END from non-END were 65.5, 76.6, and 71.5% (95% CI, 64&#x02013;79%; <italic>P</italic> &#x0003C; 0.001), respectively. Youden&#x00027;s index was 0.421. The cutoff was 0.51 (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Evaluation of the effect of MHR on END following pontine infarction using multivariate logistic regression models.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>OR</bold></th>
<th valign="top" align="center" colspan="2"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NIHSS at admission</td>
<td valign="top" align="center">1.228</td>
<td valign="top" align="center">1.036</td>
<td valign="top" align="center">1.456</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">Basilar artery stenosis</td>
<td valign="top" align="center">2.843</td>
<td valign="top" align="center">1.205</td>
<td valign="top" align="center">6.707</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>MHR Q1 (reference)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Q2</td>
<td valign="top" align="center">2.459</td>
<td valign="top" align="center">0.765</td>
<td valign="top" align="center">7.9</td>
<td valign="top" align="center">0.131</td>
</tr>
<tr>
<td valign="top" align="left">Q3</td>
<td valign="top" align="center">4.847</td>
<td valign="top" align="center">1.532</td>
<td valign="top" align="center">15.336</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Q4</td>
<td valign="top" align="center">5.824</td>
<td valign="top" align="center">1.845</td>
<td valign="top" align="center">18.385</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.987</td>
<td valign="top" align="center">0.954</td>
<td valign="top" align="center">1.022</td>
<td valign="top" align="center">0.466</td>
</tr>
<tr>
<td valign="top" align="left">History of hypertension</td>
<td valign="top" align="center">0.611</td>
<td valign="top" align="center">0.274</td>
<td valign="top" align="center">1.364</td>
<td valign="top" align="center">0.229</td>
</tr>
<tr>
<td valign="top" align="left">History of hyperlipidemia</td>
<td valign="top" align="center">1.352</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">3.133</td>
<td valign="top" align="center">0.483</td>
</tr>
<tr>
<td valign="top" align="left">History of stroke</td>
<td valign="top" align="center">2.463</td>
<td valign="top" align="center">0.988</td>
<td valign="top" align="center">6.141</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td valign="top" align="left">IS</td>
<td valign="top" align="center">1.787</td>
<td valign="top" align="center">0.993</td>
<td valign="top" align="center">3.215</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td valign="top" align="left">FBG</td>
<td valign="top" align="center">1.296</td>
<td valign="top" align="center">1.004</td>
<td valign="top" align="center">1.672</td>
<td valign="top" align="center">0.046</td>
</tr>
<tr>
<td valign="top" align="left">PPI</td>
<td valign="top" align="center">1.692</td>
<td valign="top" align="center">0.758</td>
<td valign="top" align="center">3.776</td>
<td valign="top" align="center">0.2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>FBG, fasting blood glucose; IS, infarct size; NIHSS, national institutes of health stroke scale; PPI, paramedian pontine infarction</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Receiver operating characteristic (ROC) curve of the relationship between monocyte to high-density lipoprotein ratio (MHR) and early neurological deterioration (END).</p></caption>
<graphic xlink:href="fneur-12-678884-g0003.tif"/>
</fig>
<p>Spearman&#x00027;s correlation was used to determine the relationship between MHR level and NIHSS at 7 days. The results showed that there was a correlation between MHR level and NIHSS at 7 days r<sub>s</sub> = 0.573, <italic>P</italic> &#x0003C; 0.001.</p></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>There are limited reports describing the predictive value of MHR level for early deterioration during the acute phase of an isolated pontine infarction. This study found that elevated MHR levels are associated with END and that the risk of END tended to increase with increasing MHR. It has been unequivocally shown that progressive neurological deficit after ischemic stroke may lead to increased mortality and morbidity (<xref ref-type="bibr" rid="B1">1</xref>). Progression of neurologic deficit, however, does not have an authoritative definition, as it could be considered to be either a neuropathological or a clinical event. Early neurological deterioration in patients with isolated pontine infarction is relatively common.</p>
<p>This study showed that 27.36% of the patients with isolated pontine infarction had END, which is consistent with previous studies that reported a prevalence of 20&#x02013;58% in patients with acute stroke (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The incidence of END differs between studies according to its definition and the timing and duration of observation (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>). Although the majority of the relevant studies were based on an increase in NIHSS scores, the exact increase in NIHSS score used to define END has varied drastically. For example, some studies used an NIHSS score increase of 1&#x02013;2 points combined with motor function impairment to define END, whereas others defined END as an NIHSS increase of 4 points. In terms of the timeframe, END has been defined to occur within 3 days, 5 days, or 1 week after symptom onset in different studies. In our study, END was defined as an elevation in the total NIHSS score &#x02265;2 or an increase in NIHSS score &#x02265;1 in motor power within the first week after symptom onset, which is congruent with most previous studies (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Acute inflammation has been observed in brain injury caused by cerebral ischemic diseases, such as the production of inflammatory cells, release of proinflammatory mediators, and tissue infiltration (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B22">22</xref>). In fact, there is growing evidence that inflammation exerts a prominent effect in the pathogenesis and progression of ischemic stroke (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). A few hours after stroke onset, the number of circulating polymorphonuclear neutrophils increase in a stroke severity-dependent manner (<xref ref-type="bibr" rid="B25">25</xref>). Monocytes from the bloodstream reach the damaged site most abundantly 3&#x02013;7 days after ischemia onset (<xref ref-type="bibr" rid="B26">26</xref>). In the early stages after brain injury, the number of total monocytes in the blood circulation shows an increasing trend (<xref ref-type="bibr" rid="B27">27</xref>). In addition, previous studies have reported an influx of different immune cells and cytokines produced in the brain, which play an immunomodulatory role in postischemic inflammation (<xref ref-type="bibr" rid="B27">27</xref>). Wang et al. suggested that high monocyte counts have the value in predicting the prognosis in various cardiovascular diseases (<xref ref-type="bibr" rid="B28">28</xref>). Monocytes play a pivotal role in the initiation and progression of the atherosclerotic process (<xref ref-type="bibr" rid="B29">29</xref>). Monocytes in the blood are involved in the start of the process of atherosclerosis by migrating to the intima and differentiating into macrophages under the action of cytokines (<xref ref-type="bibr" rid="B30">30</xref>). The increase in the number of macrophages and monocytes around vulnerable plaques can also lead to an increase in the monocyte count in the peripheral blood (<xref ref-type="bibr" rid="B31">31</xref>). This inflammatory response takes place during all subtypes of stroke. It could, at least in part, explain the more critical neurological symptomatology and worse outcomes (<xref ref-type="bibr" rid="B32">32</xref>). In contrast, HDL-C can control the activation of monocytes while inhibiting the migration of macrophages, protecting endothelial cells from inflammation and oxidative stress (<xref ref-type="bibr" rid="B33">33</xref>). Previous studies showed that impaired HDL-mediated cholesterol efflux and low HDL levels caused monocytosis proliferation, leading to a progression of the atherosclerotic plaque (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Intracranial atherosclerosis is the main feature of ischemic cerebrovascular disease (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Branch atherosclerosis, arterial embolism, and hypoperfusion after intracranial atherosclerosis are likely to lead to ischemic stroke (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Recent studies showed that the occurrence of END was also associated with the severity of basilar artery stenosis (<xref ref-type="bibr" rid="B7">7</xref>). By performing autopsies, Caplan identified the basis of pontine infarctions, such as plaque blocking the branch orifice within the parent artery, atherosclerotic plaques originating in the trunk and extending to the branches, and microatheroma originating in the orifice of branches (<xref ref-type="bibr" rid="B39">39</xref>). Atherosclerotic stenosis of the basilar trunk was observed in 50% of patients with isolated pontine infarction extending to the basal surface (<xref ref-type="bibr" rid="B40">40</xref>). Meanwhile, early neurological deterioration is one of the most concerning clinical problems in patients with branch atherosclerotic diseases. Progressive deficit has been associated with basilar artery branch disease and poor functional outcomes (<xref ref-type="bibr" rid="B41">41</xref>). Therefore, the progression of vascular stenosis or thrombosis caused by intracranial atherosclerosis is related to END.</p>
<p>The MHR has recently been used to predict a variety of cardiovascular abnormalities as a developed measure of inflammation and oxidative stress, which reflects the anti-inflammatory and antioxidative effects of HDL, as well as the balance of inflammation and oxidative stress caused by the proinflammatory effects of monocytes. At the same time, MHR has been used as a prognostic indicator in a series of studies. Compared to the control group, patients with acute ischemic stroke had higher MHR, and high values of MHR were found to be a significant independent variable predictive of 30-day mortality in patients with acute ischemic stroke (<xref ref-type="bibr" rid="B42">42</xref>). A higher MHR was found to be associated with an increased risk of disability or death at discharge and 3 months after intracerebral hemorrhage, whereas an increase in monocytes was only associated with an increased risk of disability or death after 3 months (<xref ref-type="bibr" rid="B43">43</xref>). There are few studies on the association between MHR and acute cerebrovascular disease, especially in the acute phase. We analyzed the correlation between MHR and END in the acute stage of pontine infarction. To our knowledge, this is the first time that inflammatory factors and infarct size have been considered together to study the factors related to END in ischemic cerebrovascular disease. Our study indicated that MHR was an effective and convenient measure in predicting neurological deficit aggravation following pontine infarction. The MHR is a simple and convenient measure that can be effectively applied in clinical practice and provides clinical utility in risk stratification in subjects presenting with isolated pontine stroke. These findings have implications for strategies aimed at lowering the MHR to prevent early neurological progression in patients with ischemic stroke.</p>
<p>Earlier studies have identified the presence of comorbidities (such as diabetes and hypertension), female sex, infarct size, and neurological severity at onset to be associated with progressive deficit in patients with isolated pontine infarctions. However, some studies have reported inconsistent findings (<xref ref-type="bibr" rid="B41">41</xref>). In addition, the infarct area extending to the basal surface was 2.5 times greater than deep infarctions without extension to the basal surface (<xref ref-type="bibr" rid="B41">41</xref>). Compared to LPI, PPI was related to END in the univariate analysis in our study. In the present study, infarct size had a very high value in the crosstab analysis, which was consistent with many previous studies on infarct size and progression (<xref ref-type="bibr" rid="B18">18</xref>); however, in the multiple logistic regression analysis, there was no significant difference in infarct size between the two groups.</p>
<p>In the current study, hyperglycemia correlated with END in patients with isolated pontine infarction after adjusting for other confounding factors in the multivariate analysis. Poststroke hyperglycemia is a common finding among diabetic and nondiabetic patients as a stress response, which is also commonly known as stress hyperglycemia (<xref ref-type="bibr" rid="B44">44</xref>). Approximately one-third of stroke patients had hyperglycemia on admission, which was associated with a poor prognosis in patients treated with thrombolytic drugs after ischemic stroke. A recent study reported that stress hyperglycemia increases the risk of severe neurological dysfunction in patients with acute ischemic stroke and is associated with mortality within 1 year (<xref ref-type="bibr" rid="B45">45</xref>). Although the exact mechanism underlying the relationship between hyperglycemia and END remains unknown, studies have illuminated the involvement of endothelial injury, tissue acidosis, blood&#x02013;brain barrier destruction, and production of excessive active oxygen species (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Therefore, additional studies are necessary to determine whether optimizing blood glucose control could improve the clinical outcomes of patients with pontine infarction.</p>
<p>END following ischemic stroke was a serious event associated with long-term functional outcomes, as reported previously. It was also related to composite event outcomes after discharge during the first year after stroke (<xref ref-type="bibr" rid="B48">48</xref>). As inflammatory and immune-mediated mechanisms of neuronal injury have received greater attention, anti-inflammatory treatments have been developed or tested in the preclinical studies and clinical trials, such as IL1-Ra (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>), statins (<xref ref-type="bibr" rid="B51">51</xref>), and edaravone (<xref ref-type="bibr" rid="B52">52</xref>). Despite clinical developments, no beneficial long-term interventions targeting inflammation are currently available.</p>
<sec>
<title>Study Limitations</title>
<p>The present study has several limitations. First, this is a single-center retrospective study. Therefore, whether the findings of the present study could be extrapolated to other institutions remains unknown. Moreover, the rate of END in this study is relatively low, further limiting the robustness of the analysis. Our study is confined to isolated brainstem infarction. The next step is to analyze the anterior circulation and posterior circulation, including midbrain and medullary infarctions. Finally, according to previous reports, different inflammatory factors are activated at different times after stroke (<xref ref-type="bibr" rid="B24">24</xref>). Some patients may have had the MHR measured at the same time or even after the assessment of END. The change in MHR over time was not studied. Therefore, we only considered a simple association between the biomarker and END instead of any causal relationship. Although statistical associations may exist between some biomarkers and END, the prospective trials are still needed to determine their added value relative to radiological and clinical characteristics.</p></sec></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In conclusion, patients with acute isolated pontine infarction and elevated MHR levels are at increased risk for END. MHR could be a convenient and effective measure related to END following pontine infarction. In the future, prospective multicenter studies will be needed to conclusively determine the predictive value of MHR for END in acute isolated pontine infarctions.</p></sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the ethics committees of Beijing Shijitan Hospital, Capital Medical University (No. sjtky11-1x-202091). The participants provided written informed consent to participate in this study. If the participant was unable to provide written informed consent due to illness, the informed consent was signed by the client instead.</p></sec>
<sec id="s8">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.</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>
</body>
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