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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.2024.1489430</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>Low hemoglobin is associated with postoperative cerebral infarction in moyamoya disease: development of a predictive model based on low hemoglobin</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Haitao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Tingxuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Fangbao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bao</surname> <given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/421693/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Lu</surname> <given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Luo</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2777406/overview"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Qingdao University Medical College, Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Dalian Medical University</institution>, <addr-line>Dalian</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Neurosurgery, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital)</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Shihao He, Peking Union Medical College Hospital (CAMS), China</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Rong Wang, Capital Medical University, China</p>
<p>Xun Ye, Capital Medical University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Luo Li, <email>liluo39@sina.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1489430</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wu, Wang, Li, Bao, Lu and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wu, Wang, Li, Bao, Lu and Li</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 id="sec1">
<title>Background</title>
<p>Anemia is considered a risk factor for cardiovascular disease. However, there is little evidence regarding the relationship between hemoglobin (HB) and cerebral infarction after revascularization in patients with moyamoya disease (MMD). This study aimed to explore the relationship between postoperative cerebral infarction and HB in patients with MMD and to establish a predictive model.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Demographic information and different HB levels (the preoperative and postoperative HB, highest and lowest HB, and mean HB during hospitalization) of 112 patients with MMD were collected, of which 11 had cerebral infarction after revascularization.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>In the binomial logistic regression analysis, low HB levels were an independent risk factor for cerebral infarction after revascularization, which also led to a worse long-term prognosis in patients with MMD. The risk factors, including Pre-HB, Post-HB, type of MMD, and hypertension (HTN), were incorporated into the receiver operating characteristic curve, which yielded an area under the curve (AUC) of 0.83.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The prediction model was visualized using a nomogram, and a clinical decision curve was drawn to evaluate the net benefit of clinical decisions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>moyamoya disease</kwd>
<kwd>hemoglobin</kwd>
<kwd>revascularization</kwd>
<kwd>postoperative cerebral infarction</kwd>
<kwd>prediction model</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="10"/>
<word-count count="5974"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Stroke</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Moyamoya disease (MMD) is a rare, chronic, progressive cerebrovascular disease that mainly affects the distal ends of the bilateral internal carotid artery (<xref ref-type="bibr" rid="ref1">1</xref>). It often involves the proximal end of the anterior and middle cerebral arteries and is accompanied by abnormal neovascularization at the skull base (<xref ref-type="bibr" rid="ref2">2</xref>). Moyamoya disease is named for its distinctive appearance on cerebral angiography, where the abnormal small blood vessels form a pattern resembling a hazy cloud of smoke (<xref ref-type="bibr" rid="ref3">3</xref>). Epidemiology shows that the incidence of MMD in Asian populations is approximately 6 cases per 100,000 people (<xref ref-type="bibr" rid="ref4">4</xref>), and a review from the United States showed that there were only 0.086 cases of MMD per 100,000 people (<xref ref-type="bibr" rid="ref5">5</xref>). Peak incidence occurs in two age groups: children aged approximately 5&#x202F;years and adults aged 40&#x202F;years (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). MMD is divided into ischemic and hemorrhagic types, with the common symptoms being mainly hemiplegia, dysarthria, aphasia, and cognitive impairment (<xref ref-type="bibr" rid="ref8">8</xref>); common sites of hemorrhagic types are the ventricles, basal ganglia, and subarachnoid space (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). There is currently no cure for diseased blood vessels in the brain. Revascularization surgery to redirect blood flow to the diseased hemisphere and reduce the risk of ischemic stroke and possible cognitive impairment is the mainstay of treatment (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Revascularization surgery includes direct, indirect, and combined surgeries. The improvement of blood flow in the diseased cerebral hemisphere is obvious with revascularization surgery, but the ensuing postoperative complications [intracranial hemorrhage, ischemic stroke, impaired neurological function, epilepsy, and hyperperfusion syndromes (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref13">13</xref>)] may lead to a potential deterioration of neurological function or even permanent neurological loss (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). Therefore, the timely and accurate assessment and prevention of postoperative complications in patients with MMD is one of the current priorities for clinical treatment.</p>
<p>Studies have shown that low hemoglobin (HB) levels after cerebral hemorrhage are not only associated with hematoma expansion (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>) but also with higher mortality and an increased risk of adverse outcomes (<xref ref-type="bibr" rid="ref18 ref19 ref20">18&#x2013;20</xref>). Additionally, anemia is a risk factor for chronic heart failure (<xref ref-type="bibr" rid="ref21">21</xref>) and myocardial infarction (<xref ref-type="bibr" rid="ref22">22</xref>). However, there is a lack of literature on the effects of HB on postoperative cerebral infarction in patients with MMD. This study aimed to evaluate the effect of HB on cerebral ischemic complications after revascularization and establish a predictive model.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Patients</title>
<p>Electronic hospital files of patients with MMD admitted to Qingdao Municipal Hospital for revascularization between January 2012 and March 2023 were retrospectively screened. Patients were only considered for further analysis if they met all the following eligibility criteria: (1) diagnosed with MMD through digital subtraction angiography (DSA) or MR angiography, according to the guidelines published by the MMD Research Committee of Japan (<xref ref-type="bibr" rid="ref23">23</xref>). (2) No relevant contraindications to surgery or those who had already undergone surgical revascularization. (3) Aged &#x003E;18&#x202F;years, with a history of brain tumors, cranial irradiation, Down syndrome, neurofibromatosis, meningitis, or sickle cell disease. All procedures were performed according to the guidelines of the Declaration of Helsinki.</p>
<p>Patient demographics including sex, age, hypertension (HTN), diabetes mellitus (DM), coronary artery disease (CHD), smoking history, admission modified Rankin scale (mRS) score, &#x003E;1&#x202F;year after surgery mRS score, type of symptoms, surgical type, and imaging characteristics were collected. Suzuki staging, determined by imaging, was evaluated by at least two neurosurgeons. All HB concentrations measured during hospitalization were extracted from the database. There were multiple measurements of HB concentrations during each patient&#x2019;s hospitalization, and to minimize errors, the last time in patients with preoperative HB concentrations (Pre-HB), the first time in patients with postoperative HB concentrations (Post-HB), mean HB concentrations (the sum/number of all HB that could be recorded during the patient&#x2019;s hospital stay), and lowest and highest HB concentrations during hospitalization were documented.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Postoperative cerebral infarction</title>
<p>A radiologist with a senior professional title and a neurosurgeon with a senior professional title jointly confirmed postoperative cerebral infarction according to the typical symptoms and imaging findings (such as computed tomography [CT] and CT perfusion diffusion-weighted imaging) of patients with MMD.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Statistical analysis</title>
<p>IBM SPSS Statistics 27.0 and R 4.2 statistical software were used for all statistical analyses. Participants were divided into two groups according to the occurrence of postoperative cerebral infarction. Categorical variables were presented as frequencies, and differences were compared using the chi-squared test or Fisher&#x2019;s exact test. Based on the Kolmogorov&#x2013;Smirnov test results, normally distributed continuous variables were presented as mean&#x202F;&#x00B1;&#x202F;standard deviation, and comparisons were performed using the t-test. Non-normally distributed continuous variables were presented as median and interquartile range (IQR), with differences between groups tested using the Mann&#x2013;Whitney U-test. All HB and potential risk factors were included in univariate and multifactorial binomial logistic regression analyses. We use restricted cubic splines to flexibly model and visualize the relationship between risk factors and postoperative cerebral infarction. The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used as the indices of distinguishing ability to construct a prediction model. The 1,000-repetition bootstrap resampling strategy was performed for optimistic correction, and calibration was confirmed by the Hosmer&#x2013;Lemeshow test. To better apply the new risk factors to the clinical study, a nomogram prediction model should be established. The decision curve analysis (DCA) curve provides a comprehensive assessment of postoperative cerebral infarction of MMD. All statistical tests were two-tailed, and a <italic>p</italic>-value of &#x003C;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<label>3</label>
<title>Results</title>
<p>Following the inclusion and exclusion criteria, a total of 112 patients were included in this study. <xref ref-type="table" rid="tab1">Table 1</xref> summarizes the basic clinical data of patients with MMD. The mean age of the patients on admission was 48.08&#x202F;&#x00B1;&#x202F;11.68&#x202F;years, and there were more male patients (55.36%). The Pre-HB concentration of the patients was 138.82&#x202F;&#x00B1;&#x202F;19.19&#x202F;g/L, the Post-HB concentration was 119.40&#x202F;&#x00B1;&#x202F;19.35&#x202F;g/L, the mean HB concentration during hospitalization was 124.61&#x202F;&#x00B1;&#x202F;18.01&#x202F;g/L, the Min HB concentration during hospitalization was 113.31&#x202F;&#x00B1;&#x202F;19.44&#x202F;g/L, and the Max HB concentration during hospitalization was 139.19&#x202F;&#x00B1;&#x202F;19.28&#x202F;g/L. The MMD type of 93 patients (83.04%) was cerebral ischemia, and the MMD type of 19 patients (16.96%) was cerebral hemorrhage. The Suzuki stage was I in 1 patient (0.89%), II in 33 patients (29.46%), III in 53 patients (47.32%), IV in 19 patients (16.96%), V in 6 patients (5.36%), and none were stage VI. A total of 112 revascularization procedures were performed, including 65 (58.04%) direct bypass procedures, 22 (19.64%) indirect bypass procedures, and 25 (22.32%) combined procedures. Eleven cases (9.8%) of MMD patients had postoperative cerebral infarction, of which four cases (36.36%) occurred after direct bypass surgery, three cases (27.27%) after indirect bypass surgery, and four cases (36.36%) after combined surgery. In patients with postoperative cerebral infarction, patients with HTN (63.64%&#x202F;&#x003E;&#x202F;48.15%), hemorrhagic (36.36%&#x202F;&#x003E;&#x202F;14.85%), high mRS (63.64%&#x202F;&#x003E;&#x202F;28.71%), mRS Score was 3&#x2013;6 points (63.64%&#x202F;&#x003E;&#x202F;28.71%), &#x003E;1&#x202F;year after surgery mRS score &#x003E;3&#x2013;6 points (54.55%&#x202F;&#x003E;&#x202F;45.45%) is higher than patients who did not have a postoperative cerebral infarction. At the same time, Pre-HB (123.73&#x202F;&#x00B1;&#x202F;26.65&#x202F;g/L&#x202F;&#x003C;&#x202F;140.47&#x202F;&#x00B1;&#x202F;17.61&#x202F;g/L), Post-HB (104.55&#x202F;&#x00B1;&#x202F;24.09&#x202F;g/L &#x003C;&#x202F;121.02&#x202F;&#x00B1;&#x202F;18.18&#x202F;g/L), Max HB (123.73&#x202F;&#x00B1;&#x202F;26.65&#x202F;g/L&#x202F;&#x003C;&#x202F;140.87&#x202F;&#x00B1;&#x202F;17.67&#x202F;g/L), Min HB (99.36&#x202F;+&#x202F;21.96&#x202F;g/L&#x202F;&#x003C;&#x202F;114.83&#x202F;+&#x202F;18.64&#x202F;g/L), and Mean HB (109.91&#x202F;&#x00B1;&#x202F;23.99&#x202F;g/L&#x202F;&#x003C;&#x202F;126.21&#x202F;&#x00B1;&#x202F;16.62&#x202F;g/L) were lower in patients who experienced postoperative cerebral infarction than those who did not. We used a restricted cubic spline to visualize HB and postoperative cerebral infarction in patients with MMD. Because there are inherent differences in HB values between men and women, we set sex as a covariate to reduce the effect of gender on the results. The results show that when the Pre-HB&#x202F;&#x003E;&#x202F;113.2&#x202F;g/L (<xref ref-type="fig" rid="fig1">Figure 1A</xref>), Post-HB&#x202F;&#x003E;&#x202F;94.1&#x202F;g/L (<xref ref-type="fig" rid="fig1">Figure 1B</xref>), Min HB is &#x003E;86.2&#x202F;g/L (<xref ref-type="fig" rid="fig1">Figure 1C</xref>), Max HB&#x202F;&#x003E;&#x202F;115&#x202F;g/L (<xref ref-type="fig" rid="fig1">Figure 1D</xref>), and Mean HB&#x202F;&#x003E;&#x202F;102.2&#x202F;g/L (<xref ref-type="fig" rid="fig1">Figure 1E</xref>), the risk of postoperative cerebral infarction was low.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Comparison between the clinical data of patients with MMD and univariate binary logistic regression results.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Variables</th>
<th align="center" valign="middle">Total (<italic>n</italic>&#x202F;=&#x202F;112)</th>
<th align="center" valign="middle" colspan="2">Postoperative ischemic complication</th>
<th align="center" valign="top"><italic>p</italic>- value</th>
</tr>
<tr>
<th/>
<th align="center" valign="middle">Absent (<italic>n</italic>&#x202F;=&#x202F;101)</th>
<th align="center" valign="middle">Present (<italic>n</italic>&#x202F;=&#x202F;11)</th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age</td>
<td align="char" valign="middle" char="(">48.08&#x202F;&#x00B1;&#x202F;11.68</td>
<td align="char" valign="middle" char="(">47.64&#x202F;&#x00B1;&#x202F;11.57</td>
<td align="char" valign="middle" char="(">52.09&#x202F;&#x00B1;&#x202F;12.52</td>
<td align="char" valign="top" char=".">0.234</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Sex, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="char" valign="middle" char="(">62 (55.36)</td>
<td align="char" valign="middle" char="(">56 (55.45)</td>
<td align="char" valign="middle" char="(">6 (54.55)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="char" valign="middle" char="(">50 (44.64)</td>
<td align="char" valign="middle" char="(">45 (44.55)</td>
<td align="char" valign="middle" char="(">5 (45.45)</td>
<td align="char" valign="top" char=".">0.234</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Surgical side, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Right</td>
<td align="char" valign="middle" char="(">62 (55.36)</td>
<td align="char" valign="middle" char="(">57 (56.44)</td>
<td align="char" valign="middle" char="(">5 (45.45)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Left</td>
<td align="char" valign="middle" char="(">50 (44.64)</td>
<td align="char" valign="middle" char="(">44 (43.56)</td>
<td align="char" valign="middle" char="(">6 (54.55)</td>
<td align="char" valign="top" char=".">0.234</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Disease involved, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Unilateral</td>
<td align="char" valign="middle" char="(">47 (41.96)</td>
<td align="char" valign="middle" char="(">42 (41.58)</td>
<td align="char" valign="middle" char="(">5 (45.45)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Bilateral</td>
<td align="char" valign="middle" char="(">65 (58.04)</td>
<td align="char" valign="middle" char="(">59 (58.42)</td>
<td align="char" valign="middle" char="(">6 (54.55)</td>
<td align="char" valign="top" char=".">0.234</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Primary type, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Hemorrhagic</td>
<td align="char" valign="middle" char="(">19 (16.96)</td>
<td align="char" valign="middle" char="(">15 (14.85)</td>
<td align="char" valign="middle" char="(">4 (36.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Ischemic</td>
<td align="char" valign="middle" char="(">93 (83.04)</td>
<td align="char" valign="middle" char="(">86 (85.15)</td>
<td align="char" valign="middle" char="(">7 (63.64)</td>
<td align="char" valign="top" char=".">0.084</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Suzuki stage, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">I</td>
<td align="char" valign="middle" char="(">1 (0.89)</td>
<td align="char" valign="middle" char="(">1 (0.99)</td>
<td align="char" valign="middle" char="(">0 (0.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">II</td>
<td align="char" valign="middle" char="(">33 (29.46)</td>
<td align="char" valign="middle" char="(">30 (29.70)</td>
<td align="char" valign="middle" char="(">3 (27.27)</td>
<td align="char" valign="top" char=".">0.993</td>
</tr>
<tr>
<td align="left" valign="middle">III</td>
<td align="char" valign="middle" char="(">53 (47.32)</td>
<td align="char" valign="middle" char="(">48 (47.52)</td>
<td align="char" valign="middle" char="(">5 (45.45)</td>
<td align="char" valign="top" char=".">0.993</td>
</tr>
<tr>
<td align="left" valign="middle">IV</td>
<td align="char" valign="middle" char="(">19 (16.96)</td>
<td align="char" valign="middle" char="(">17 (16.83)</td>
<td align="char" valign="middle" char="(">2 (18.18)</td>
<td align="char" valign="top" char=".">0.993</td>
</tr>
<tr>
<td align="left" valign="middle">V</td>
<td align="char" valign="middle" char="(">6 (5.36)</td>
<td align="char" valign="middle" char="(">5 (4.95)</td>
<td align="char" valign="middle" char="(">1 (9.09)</td>
<td align="char" valign="top" char=".">0.992</td>
</tr>
<tr>
<td align="left" valign="middle">VI</td>
<td align="char" valign="middle" char="(">0 (0)</td>
<td align="char" valign="middle" char="(">0 (0)</td>
<td align="char" valign="middle" char="(">0 (0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Surgical type, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Direct bypass</td>
<td align="char" valign="middle" char="(">65 (58.04)</td>
<td align="char" valign="middle" char="(">61 (60.40)</td>
<td align="char" valign="middle" char="(">4 (36.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Indirect bypass</td>
<td align="char" valign="middle" char="(">22 (19.64)</td>
<td align="char" valign="middle" char="(">19 (18.81)</td>
<td align="char" valign="middle" char="(">3 (27.27)</td>
<td align="char" valign="top" char=".">0.277</td>
</tr>
<tr>
<td align="left" valign="middle">Combined</td>
<td align="char" valign="middle" char="(">25 (22.32)</td>
<td align="char" valign="middle" char="(">21 (20.79)</td>
<td align="char" valign="middle" char="(">4 (36.36)</td>
<td align="char" valign="top" char=".">0.156</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Hypertension, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">56 (50.00)</td>
<td align="char" valign="middle" char="(">52 (51.49)</td>
<td align="char" valign="middle" char="(">4 (36.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">56 (50.00)</td>
<td align="char" valign="middle" char="(">49 (48.51)</td>
<td align="char" valign="middle" char="(">7 (63.64)</td>
<td align="char" valign="top" char=".">0.347</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Diabetes, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">93 (83.04)</td>
<td align="char" valign="middle" char="(">85 (84.16)</td>
<td align="char" valign="middle" char="(">8 (72.73)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">19 (16.96)</td>
<td align="char" valign="middle" char="(">16 (15.84)</td>
<td align="char" valign="middle" char="(">3 (27.27)</td>
<td align="char" valign="top" char=".">0.345</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Coronary heart disease, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">105 (93.75)</td>
<td align="char" valign="middle" char="(">94 (93.07)</td>
<td align="char" valign="middle" char="(">11 (100.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">7 (6.25)</td>
<td align="char" valign="middle" char="(">7 (6.93)</td>
<td align="char" valign="middle" char="(">0 (0.00)</td>
<td align="char" valign="top" char=".">0.992</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Smoking, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">80 (71.43)</td>
<td align="char" valign="middle" char="(">71 (70.30)</td>
<td align="char" valign="middle" char="(">9 (81.82)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">32 (28.57)</td>
<td align="char" valign="middle" char="(">30 (29.70)</td>
<td align="char" valign="middle" char="(">2 (18.18)</td>
<td align="char" valign="top" char=".">0.428</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Admission mRS score, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">0</td>
<td align="char" valign="middle" char="(">1 (0.89)</td>
<td align="char" valign="middle" char="(">1 (0.99)</td>
<td align="char" valign="middle" char="(">0 (0.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">1</td>
<td align="char" valign="middle" char="(">34 (30.36)</td>
<td align="char" valign="middle" char="(">32 (31.68)</td>
<td align="char" valign="middle" char="(">2 (18.18)</td>
<td align="char" valign="top" char=".">0.993</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="char" valign="middle" char="(">41 (36.61)</td>
<td align="char" valign="middle" char="(">39 (38.61)</td>
<td align="char" valign="middle" char="(">2 (18.18)</td>
<td align="char" valign="top" char=".">0.993</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="char" valign="middle" char="(">21 (18.75)</td>
<td align="char" valign="middle" char="(">18 (17.82)</td>
<td align="char" valign="middle" char="(">3 (27.27)</td>
<td align="char" valign="top" char=".">0.992</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="char" valign="middle" char="(">12 (10.71)</td>
<td align="char" valign="middle" char="(">9 (8.91)</td>
<td align="char" valign="middle" char="(">3 (27.27)</td>
<td align="char" valign="top" char=".">0.992</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="char" valign="middle" char="(">3 (2.68)</td>
<td align="char" valign="middle" char="(">2 (1.98)</td>
<td align="char" valign="middle" char="(">1 (9.09)</td>
<td align="char" valign="top" char=".">0.992</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Admission mRS score, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">0&#x2013;2</td>
<td align="char" valign="bottom" char="(">76 (67.86)</td>
<td align="char" valign="bottom" char="(">72 (71.29)</td>
<td align="char" valign="bottom" char="(">4 (36.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3&#x2013;6</td>
<td align="char" valign="middle" char="(">36 (32.14)</td>
<td align="char" valign="middle" char="(">29 (28.71)</td>
<td align="char" valign="middle" char="(">7 (63.64)</td>
<td align="char" valign="top" char="."><bold>0.027</bold></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">&#x003E;1&#x202F;year after surgery mRS score, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">0&#x2013;2</td>
<td align="char" valign="bottom" char="(">84 (75.00)</td>
<td align="char" valign="bottom" char="(">79 (78.22)</td>
<td align="char" valign="bottom" char="(">5 (45.45)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3&#x2013;6</td>
<td align="char" valign="middle" char="(">28 (25.00)</td>
<td align="char" valign="middle" char="(">22 (21.78)</td>
<td align="char" valign="middle" char="(">6 (54.55)</td>
<td align="char" valign="top" char="."><bold>0.025</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Pre-HB(g/L)</td>
<td align="char" valign="middle" char="(">138.82&#x202F;&#x00B1;&#x202F;19.19</td>
<td align="char" valign="middle" char="(">140.47&#x202F;&#x00B1;&#x202F;17.61</td>
<td align="char" valign="middle" char="(">123.73&#x202F;&#x00B1;&#x202F;26.65</td>
<td align="char" valign="top" char="."><bold>0.010</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Post-HB(g/L)</td>
<td align="char" valign="middle" char="(">119.40&#x202F;&#x00B1;&#x202F;19.35</td>
<td align="char" valign="middle" char="(">121.02&#x202F;&#x00B1;&#x202F;18.18</td>
<td align="char" valign="middle" char="(">104.55&#x202F;&#x00B1;&#x202F;24.09</td>
<td align="char" valign="top" char="."><bold>0.011</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Max HB(g/L)</td>
<td align="char" valign="middle" char="(">139.19&#x202F;&#x00B1;&#x202F;19.28</td>
<td align="char" valign="middle" char="(">140.87&#x202F;&#x00B1;&#x202F;17.67</td>
<td align="char" valign="middle" char="(">123.73&#x202F;&#x00B1;&#x202F;26.65</td>
<td align="char" valign="top" char="."><bold>0.009</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Min HB(g/L)</td>
<td align="char" valign="middle" char="(">113.31&#x202F;&#x00B1;&#x202F;19.44</td>
<td align="char" valign="middle" char="(">114.83&#x202F;&#x00B1;&#x202F;18.64</td>
<td align="char" valign="middle" char="(">99.36&#x202F;&#x00B1;&#x202F;21.96</td>
<td align="char" valign="top" char="."><bold>0.016</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Mean HB(g/L)</td>
<td align="char" valign="middle" char="(">124.61&#x202F;&#x00B1;&#x202F;18.01</td>
<td align="char" valign="middle" char="(">126.21&#x202F;&#x00B1;&#x202F;16.62</td>
<td align="char" valign="middle" char="(">109.91&#x202F;&#x00B1;&#x202F;23.99</td>
<td align="char" valign="top" char="."><bold>0.007</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The bold values indicates that the <italic>p</italic> value is less than 0.05.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Restricted cubic spline plots were used to visualize the effects of Pre-HB <bold>(A)</bold>, Post-HB <bold>(B)</bold>, Min HB <bold>(C)</bold>, Max HB <bold>(D)</bold>, and Mean HB <bold>(E)</bold> at different levels on postoperative cerebral infarction of moyamoya disease.</p>
</caption>
<graphic xlink:href="fneur-15-1489430-g001.tif"/>
</fig>
<p>Binary logistic regression analysis was used to explore the risk factors for postoperative cerebral infarction in patients with MMD. Univariate binary logistic regression showed (<xref ref-type="table" rid="tab1">Table 1</xref>) that high mRS scores at admission (<italic>p</italic>&#x202F;=&#x202F;0.027), Pre-HB (<italic>p</italic>&#x202F;=&#x202F;0.010), Post-HB (<italic>p</italic>&#x202F;=&#x202F;0.011), maximum HB (<italic>p</italic>&#x202F;=&#x202F;0.009), minimum HB (<italic>p</italic>&#x202F;=&#x202F;0.016), and Mean HB (<italic>p</italic>&#x202F;=&#x202F;0.007) were risk factors for postoperative cerebral infarction. Because of the collinearity between different HB measurements in the same patient, each time we introduced only one HB value for multivariate analysis with all other variables. The results showed (<xref ref-type="fig" rid="fig2">Figure 2</xref>) that Pre-HB (<italic>p</italic>&#x202F;=&#x202F;0.015; OR&#x202F;=&#x202F;0.94, 95% CI&#x202F;=&#x202F;0.89, 0.99), Post-HB (<italic>p</italic>&#x202F;=&#x202F;0.033; OR&#x202F;=&#x202F;0.95, 95% CI&#x202F;=&#x202F;0.90, 0.99), the Max HB (<italic>p</italic>&#x202F;=&#x202F;0.009; OR&#x202F;=&#x202F;0.93, 95% CI&#x202F;=&#x202F;0.87, 0.98), and Min HB (<italic>p</italic>&#x202F;=&#x202F;0.025; OR&#x202F;=&#x202F;0.93, 95%CI&#x202F;=&#x202F;0.88, 0.99) were still independent risk factors for postoperative cerebral infarction, while Mean HB (<italic>p</italic>&#x202F;=&#x202F;0.055; OR&#x202F;=&#x202F;0.95, 95%CI&#x202F;=&#x202F;0.90,1.00) were not independent risk factors for postoperative cerebral infarction of MMD.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Multivariate binomial logical analysis results between different HB and postoperative cerebral infarction of MMD.</p>
</caption>
<graphic xlink:href="fneur-15-1489430-g002.tif"/>
</fig>
<sec id="sec11">
<label>3.1</label>
<title>Development of a predictive model for postoperative cerebral infarction</title>
<p>Due to delays in collecting data for Max HB, Min HB, and Mean HB, we included only Pre-HB and Post-HB in the ROC curve (<xref ref-type="fig" rid="fig3">Figure 3</xref>) to better apply the prediction model to the clinical study. The ROC curve analysis showed that the predictive performance of Pre-HB concentration for postoperative cerebral infarction was expressed as an area under the curve (AUC)&#x202F;=&#x202F;0.70 (<xref ref-type="fig" rid="fig3">Figure 3A</xref>) (95%CI&#x202F;=&#x202F;0.52&#x2013;0.89), Youden index&#x202F;=&#x202F;0.404, sensitivity&#x202F;=&#x202F;49.5%, and specificity =90.9%. The optimal cutoff value for Pre-HB was 146.50&#x202F;g/L. The predictive performance of Post-HB for postoperative cerebral infarction was expressed as area under the curve (AUC)&#x202F;=&#x202F;0.71 (<xref ref-type="fig" rid="fig3">Figure 3C</xref>) (95%CI&#x202F;=&#x202F;0.52&#x2013;0.90), Youden index&#x202F;=&#x202F;0.357, sensitivity&#x202F;=&#x202F;81.2%, and specificity&#x202F;=&#x202F;54.5%. The optimal cutoff value for Post-HB was 104&#x202F;g/L. The Hosmer&#x2013;Lemeshow test showed <italic>p</italic>-values of 0.249 and 1.000, respectively. However, the calibration curve between the prediction model and actual observations needs to be strengthened (<xref ref-type="fig" rid="fig3">Figures 3B</xref>,<xref ref-type="fig" rid="fig3">D</xref>). To further improve the performance of the prediction model and eliminate the influence of sex, we introduced high-risk factors (HTN, type of MMD, and mRS score) and sex into the ROC together with Pre-HB and Post-HB. The predictive performance of combined indicators for postoperative cerebral infarction was expressed as the area under the curve (AUC)&#x202F;=&#x202F;0.83 (<xref ref-type="fig" rid="fig3">Figure 3E</xref>; 95%CI&#x202F;=&#x202F;0.68&#x2013;0.98), Youden index&#x202F;=&#x202F;0.578, sensitivity&#x202F;=&#x202F;72.7%, and specificity&#x202F;=&#x202F;85.1%. The 1,000 bootstrap resampling strategy was used for optimistic correction, and the Hosmer&#x2013;Lemeshow test showed a <italic>p-</italic>value of 0.005. The fit between the forecast model and the calibration curve was good (<xref ref-type="fig" rid="fig3">Figure 3F</xref>). The prediction model was visualized using a nomogram (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). The decision curve analysis (DCA) (<xref ref-type="fig" rid="fig4">Figure 4B</xref>) suggested that a screening strategy based on nomograms of risk estimates for cerebral ischemic complications after MMD revascularization has a higher net benefit than &#x201C;screen-none&#x201D; or &#x201C;screen-all&#x201D; strategies if the threshold probability of individual is between 3 and 87%.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Result of ROC curve analysis and discriminability and calibration curves for the predictive model. <bold>(A,B)</bold> Area under the ROC curve of the Pre-HB and the Hosmer&#x2013;Lemeshow test. <bold>(C,D)</bold> Area under the ROC curve of the Post-HB and the Hosmer&#x2013;Lemeshow test. <bold>(E,F)</bold> Area under the ROC curve of the multiple factors and the Hosmer&#x2013;Lemeshow test.</p>
</caption>
<graphic xlink:href="fneur-15-1489430-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Visualization of the prediction model <bold>(A)</bold> and decision curve analysis <bold>(B)</bold>.</p>
</caption>
<graphic xlink:href="fneur-15-1489430-g004.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>3.2</label>
<title>Association between HB and long-term prognosis of patients with moyamoya disease</title>
<p>All patients were followed up, and their historical medical records were reviewed. On this basis, the mRS scores of patients more than 1&#x202F;year after surgery were recorded, and the patients were divided into two groups: group A (mRS&#x202F;=&#x202F;0&#x2013;2) and group B (mRS&#x202F;=&#x202F;3&#x2013;6). Subsequently, we performed a group difference analysis of the HB values between the two groups. The analysis results showed that the five types of HB values of patients with mRS scores of 0&#x2013;2 were significantly higher than those with mRS scores of 3&#x2013;6, and the differences were statistically significant (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Relationship between long-term prognosis and HB in patients with moyamoya disease.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Variables</th>
<th align="center" valign="middle" rowspan="2">Total (<italic>n</italic>&#x202F;=&#x202F;112)</th>
<th align="center" valign="middle" colspan="2">&#x003E;1 year after surgery mRS score</th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th align="center" valign="middle">0&#x2013;2 (<italic>n</italic> = 84)</th>
<th align="center" valign="middle">3&#x2013;6 (<italic>n</italic> = 28)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Pre-HB, Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="char" valign="middle" char="&#x00B1;">138.82 &#x00B1; 19.19</td>
<td align="char" valign="middle" char="&#x00B1;">141.20 &#x00B1; 17.46</td>
<td align="char" valign="middle" char="&#x00B1;">131.68 &#x00B1; 22.52</td>
<td align="char" valign="middle" char=".">0.022</td>
</tr>
<tr>
<td align="left" valign="middle">Post-HB, Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="char" valign="middle" char="&#x00B1;">119.40 &#x00B1; 19.35</td>
<td align="char" valign="middle" char="&#x00B1;">122.82 &#x00B1; 17.33</td>
<td align="char" valign="middle" char="&#x00B1;">109.14 &#x00B1; 21.69</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Max HB, Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="char" valign="middle" char="&#x00B1;">139.19 &#x00B1; 19.28</td>
<td align="char" valign="middle" char="&#x00B1;">141.85 &#x00B1; 17.31</td>
<td align="char" valign="middle" char="&#x00B1;">131.21 &#x00B1; 22.78</td>
<td align="char" valign="middle" char=".">0.011</td>
</tr>
<tr>
<td align="left" valign="middle">Min HB, Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="char" valign="middle" char="&#x00B1;">113.31 &#x00B1; 19.44</td>
<td align="char" valign="middle" char="&#x00B1;">116.43 &#x00B1; 17.49</td>
<td align="char" valign="middle" char="&#x00B1;">103.96 &#x00B1; 22.19</td>
<td align="char" valign="middle" char=".">0.003</td>
</tr>
<tr>
<td align="left" valign="middle">Mean HB, Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="char" valign="middle" char="&#x00B1;">124.61 &#x00B1; 18.01</td>
<td align="char" valign="middle" char="&#x00B1;">127.56 &#x00B1; 15.75</td>
<td align="char" valign="middle" char="&#x00B1;">115.75 &#x00B1; 21.51</td>
<td align="char" valign="middle" char=".">0.011</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec13">
<label>4</label>
<title>Discussion</title>
<p>MMD is considered a disease with a genetic basis, and studies have shown that its familial inheritance tendency is significant; approximately 10% of patients with MMD can be traced back to their family history (<xref ref-type="bibr" rid="ref24">24</xref>). The inheritance pattern of familial moyamoya disease appears to follow an autosomal dominant pattern with incomplete penetrance, and the key gene locus may be located on chromosome 17q25.3 (<xref ref-type="bibr" rid="ref25">25</xref>). Although revascularization is the most successful treatment for patients with MMD, it has a relatively high risk of postoperative cerebral infarction. Deng et al. reported that the probability of an ischemic event after 533 revascularizations was 8.9% per patient (<xref ref-type="bibr" rid="ref26">26</xref>). Bao et al. reported a 4.8% incidence of postoperative transient ischemic attack or cerebral infarction per patient after 512 revascularizations (<xref ref-type="bibr" rid="ref27">27</xref>). Kim et al. reported that after 845 revascularization procedures, the incidence of postoperative infarction was 13% per patient (<xref ref-type="bibr" rid="ref28">28</xref>). Therefore, we attempted to study the relationship between HB and postoperative cerebral infarction in patients with MMD and to establish a relevant prediction model based on Hb levels.</p>
<p>Through statistical analysis, we found that low hemoglobin levels were a risk factor for postoperative cerebral infarction in patients with moyamoya disease. We then collected data on why low HB levels might cause postoperative cerebral infarction in patients with MMD by reviewing the literature. First, reperfusion after direct bypass leads to the production of large amounts of superoxide anions, which further damage damaged vessels (<xref ref-type="bibr" rid="ref29">29</xref>). In turn, low HB also triggers elevated inflammatory markers, such as C-reactive protein, tumor necrosis factor-alpha (TNF-<italic>&#x03B1;</italic>), and certain interleukins (ILs), while it can upregulate inducible nitric oxide synthase and CXC chemokine receptors, all of which increase the risk of postoperative brain injury in patients after revascularization (<xref ref-type="bibr" rid="ref30 ref31 ref32 ref33">30&#x2013;33</xref>). Second, low HB prevents the body&#x2019;s coagulation function because red blood cells themselves adhere to the damaged vessel wall to participate in hemostasis and mediate the radial transport of platelets to the damaged vessel wall, as well as the interaction with platelets and fibrinogen to form a blood clot contraction (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>), which is disadvantageous for patients after revascularization. Third, according to the literature, low HB results in a relative &#x201C;reduction&#x201D; of region cerebral blood flow in specific brain regions, possibly due to chronic ischemia that fails to trigger a normal vasodilatory response (<xref ref-type="bibr" rid="ref36">36</xref>), resulting in reduced metabolism in the region, which leads to cognitive dysfunction and executive dysfunction, especially executive dysfunction (<xref ref-type="bibr" rid="ref37">37</xref>). It is unclear whether a normal and complete diastolic response exists in newly anastomosed vessels after revascularization. The relevant literature also indicates that: (1) direct competition between the recipient vessel and regional cerebral blood flow bypass may lead to postoperative bypass occlusion; and (2) the thickened STA may not match the diameter of the atrophied cerebral cortical arteries, resulting in lower blood flow in the reconstructed cerebral cortical arteries (<xref ref-type="bibr" rid="ref38">38</xref>). These factors can further impede the compensatory increase in cerebral blood flow, making patients more likely to experience postoperative bypass occlusion and more susceptible to decreased blood flow and oxygen levels. Fourth, low HB levels impair cerebrovascular autoregulation (<xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>), leading to fluctuations in cerebral perfusion and altered oxygen transport to the brain. The risk of an unstable cerebral hemodynamic state exists in patients themselves after revascularization (<xref ref-type="bibr" rid="ref41">41</xref>), and both increase the turbulent state of the blood to some extent (<xref ref-type="bibr" rid="ref42">42</xref>). Simultaneously, the hyperdynamic circulation caused by anemia regulates the expression of adhesion molecules by upregulating vascular endothelial cell production. This triggers an inflammatory response (<xref ref-type="bibr" rid="ref43">43</xref>). All of these factors greatly increase the risk of cerebrovascular thrombosis and dislodgement. In addition, animal studies provide evidence that anemic hypoxia may exacerbate neurological damage due to permanent focal ischemia (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). One study showed that when Hb concentrations dropped below 90&#x202F;g/dL, the incidence of cerebral hypoxia and cellular energy dysfunction greatly increased (<xref ref-type="bibr" rid="ref46">46</xref>). In recent years, it has been reported that erythropoietin improves outcomes in animal models of SAH (<xref ref-type="bibr" rid="ref47">47</xref>) and reduces neuronal ischemia (<xref ref-type="bibr" rid="ref48">48</xref>) and that erythropoietin and hemoglobin may interact (<xref ref-type="bibr" rid="ref49">49</xref>); however, relevant studies are still scarce.</p>
<p>Furthermore, it has not been demonstrated whether low HB is a result or a cause of poor postoperative cerebral functional outcomes. Lower HB levels during hospitalization may be a marker of the poor physiological status of the patient at the time of hospitalization. Patients with severe postoperative illnesses are at risk of lower HB and require more frequent blood tests to monitor their condition and more intravenous fluids. Our study did not confirm a causal relationship between HB and cerebral ischemic complications after MMD revascularization. This will be the focus of future research. Red blood cell transfusion is effective in improving cerebral oxygen delivery (<xref ref-type="bibr" rid="ref50">50</xref>). Although studies by Zygun et al. have shown that red blood cell transfusion improves cerebral tissue oxygenation, it does not have a significant effect on cerebral metabolism, as measured by the lactate-pus-ketoacid ratio (<xref ref-type="bibr" rid="ref51">51</xref>). Research by Poyraz and Sheth suggested that concentrated red blood cell transfusions may reduce mortality from cerebral hemorrhage when the patient has a more serious disease, whereas no independent association was found between red blood cell transfusions and adverse outcomes from intracranial hemorrhage (<xref ref-type="bibr" rid="ref50">50</xref>). However, it is unclear whether HB levels trigger red blood cell transfusion (<xref ref-type="bibr" rid="ref52">52</xref>). In the Jennifer Diedler report, which included patients with traumatic brain injury and subarachnoid hemorrhage, the results showed that the transfusion of red blood cells is associated with a higher risk of cerebral malignant tumors and poor prognosis (<xref ref-type="bibr" rid="ref44">44</xref>).</p>
<p>Studies have demonstrated the adverse effects of low HB levels on cardiovascular and cerebrovascular diseases; however, few studies have been conducted in the context of MMD. Due to the presence of multiple HB measurements during hospitalization, we divided the HB concentrations into preoperative, postoperative, mean, and minimum, and maximum values to minimize errors. Finally, we found that lower HB in patients with MMD undergoing revascularization was an independent risk factor for postoperative cerebral infarction. Compared to Mean HB, Max HB, and Min HB values, Pre-HB, and Post-HB values have the advantage of immediacy, as doctors can obtain these values through routine blood tests without delays from additional data collection. This makes Pre-HB and Post-HB values more timely and practical, enabling doctors to make informed clinical decisions. After obtaining these key data, we applied them to a carefully constructed predictive model. By comprehensively introducing the patient&#x2019;s Pre-HB and Post-HB values and other key indicators, the model can accurately assess the risk of postoperative cerebral infarction to provide strong support for doctors to formulate individualized and accurate treatment plans before and after surgery. The results of this study are expected to provide new ideas and methods for the prevention of postoperative cerebral infarction. Several limitations should be acknowledged in our study: (1) There is a delay in collecting data for Max HB, Min HB, and Mean HB; (2) the study is retrospective and based on single-center data, which carries inherent limitations and potential bias; (3) due to the rarity of MMD and its regional distribution, the relatively small sample size limits further statistical analysis. Consequently, large-scale studies are needed to confirm these findings.</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<label>5</label>
<title>Conclusion</title>
<p>Low HB is an independent risk factor for postoperative cerebral infarction in patients with moyamoya disease and leads to a worse long-term prognosis. Based on the statistical results, we established a prediction model including Pre-HB, Post-HB, sex, type of MMD, and HTN, so that surgeons can effectively identify patients at a high risk of postoperative cerebral infarction.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec15">
<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 author/s.</p>
</sec>
<sec sec-type="ethics-statement" id="sec16">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Qingdao Municipal Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from the remainder of the patient&#x2019;s previous clinical samples. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec17">
<title>Author contributions</title>
<p>HW: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft. TW: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft. FL: Data curation, Writing &#x2013; original draft. YB: Data curation, Formal analysis, Writing &#x2013; original draft. BL: Data curation, Formal analysis, Writing &#x2013; original draft. LL: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec18">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by Qingdao Science and Technology benefits of the people&#x2019;s special project (No. 23&#x2013;2-8-smjk-15-nsh).</p>
</sec>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>The authors declare that this research was conducted in the absence of any commercial or financial relationships. There are no conflicts of interest among the authors.</p>
</sec>
<sec sec-type="disclaimer" id="sec20">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec21">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fneur.2024.1489430/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fneur.2024.1489430/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.XLSX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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