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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.2025.1490127</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>Relationship between first pass effect NLR and PLR in mechanical thrombectomy for acute anterior circulation large-vessel occlusion</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lu</surname> <given-names>Guozhang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3105072/overview"/>
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<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Peijian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Xv</surname> <given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Lv</surname> <given-names>Hang</given-names></name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Liyong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Jiyue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Hao</surname> <given-names>Jiheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Neurosurgery, Liaocheng People&#x2019;s Hospital</institution>, <addr-line>Liaocheng</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Clinical Medicine, Weifang Medical University</institution>, <addr-line>Weifang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Neurosurgery, XD Group Hospital</institution>, <addr-line>Xian</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Chubin Ou, Macquarie University, Australia</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Hatem Tolba, Medical College of Wisconsin, United States</p>
<p>Koji Tanaka, Fujita Health University, Japan</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Jiheng Hao, <email>haojiheng@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1490127</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Lu, Wang, Xv, Lv, Zhang, Wang and Hao.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lu, Wang, Xv, Lv, Zhang, Wang and Hao</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>Purpose</title>
<p>The study investigated the correlation between the neutrophil-lymphocyte ratio (NLR) and the platelet-lymphocyte ratio (PLR) concerning the first-pass effect (FPE) observed during mechanical thrombectomy subsequent to acute ischemic stroke (AIS).</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Patients diagnosed with AIS in the anterior circulation, who underwent mechanical thrombectomy between January 2020 and December 2022, were assessed. Various data were collected, including blood cell counts, general information, relevant surgical and clinical details, and functional outcomes determined by the Modified Rankin Scale (MRS) score &#x2264;2 at 3&#x202F;months. Logistic regression was utilized to identify independent factors predicting the first-pass effect (FPE) and to explore the associations between FPE and the NLR and PLR. Critical NLR and PLR values were examined using Receiver-operating characteristics (ROC) curves.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 233 patients were enrolled and categorized into either the FPE or MPE groups based on the success of the initial thrombectomy. The FPE group showed significant distinctions compared to the MPE group in both NLR and PLR levels: NLR (3.63 vs. 4.90, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), PLR (134.92 vs. 164.77, <italic>p</italic>&#x202F;=&#x202F;0.001). Both univariate and multivariate regression analyses demonstrated the independent predictive ability of NLR and PLR for assessing the risk of FPE during mechanical thrombectomy, with NLR (Adjusted Odds ratio (OR) 0.764; 95% CI 0.665&#x2013;0.878, <italic>p</italic>&#x202F;=&#x202F;0.001) and PLR (Adjusted OR0.993; 95% CI 0.989&#x2013;0.998, <italic>p</italic>&#x202F;=&#x202F;0.002). Moreover, the ROC curves delineated critical threshold values of 4.34 and 148.03 for NLR and PLR, respectively.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The increase of NLR and PLR may be related to the failure of FPE.</p>
</sec>
</abstract>
<kwd-group>
<kwd>mechanical thrombectomy</kwd>
<kwd>first pass effect</kwd>
<kwd>neutrophil-lymphocyte ratio</kwd>
<kwd>platelet-lymphocyte ratio</kwd>
<kwd>acute anterior circulation large-vessel occlusion</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="8"/>
<word-count count="6331"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Endovascular and Interventional Neurology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Acute ischemic stroke (AIS) represents approximately 86% of stroke cases and stands as one of the most prevalent, incapacitating, and life-threatening conditions (<xref ref-type="bibr" rid="ref1">1</xref>). Prompt restoration of the obstructed blood vessels is crucial for salvaging the ischemic penumbra. Studies report that in cases of AIS accompanied by large-vessel occlusion, the use of Endovascular therapy (EVT) is effective in enhancing functional outcomes compared to medical therapy, without elevating the risk of symptomatic intracranial hemorrhage (SICH) (<xref ref-type="bibr" rid="ref2">2</xref>). Nevertheless, despite reductions in mortality and improvements in functional outcomes, over 60% of AIS patients still experience adverse outcomes. This underscores the need for further research and strategies to enhance the effectiveness of stroke treatments (<xref ref-type="bibr" rid="ref2">2</xref>&#x2013;<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>The concept of FPE was first introduced in an analysis by Zaidat et al., with the study showing a 90-day favorable prognosis rate of 61.3%, a 90-day mortality rate of 16.3%, and a distal embolization rate of 5.7% in the FPE group, demonstrating a significant correlation between FPE and a favorable prognosis (<xref ref-type="bibr" rid="ref5">5</xref>). In a meta-analysis, patients in the FPE group showed better outcomes and lower mortality rates compared to those in the MPE group (<xref ref-type="bibr" rid="ref6">6</xref>). A prospective, multicenter study showed that the functional independence rate (MRS&#x202F;&#x2264;&#x202F;2) for patients in the FPE group was 52.7%, with a good recovery rate (MRS&#x202F;&#x2264;&#x202F;1) of 49% (<xref ref-type="bibr" rid="ref7">7</xref>). Prolonged surgery time and increased number of thrombectomies may lead to endothelial damage, reocclusion of vessels, or thrombus migration causing distal occlusion, thus reducing the effectiveness of mechanical thrombectomy and patient prognosis (<xref ref-type="bibr" rid="ref8">8</xref>&#x2013;<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>The inflammatory response is widely recognized as closely associated with AIS development and progression (<xref ref-type="bibr" rid="ref12">12</xref>). During AIS, neutrophils can infiltrate ischemic brain tissue by breaching the blood&#x2013;brain barrier, thereby inducing further damage to brain tissue through the release of inflammatory factors. This process can exacerbate the injury caused by the stroke (<xref ref-type="bibr" rid="ref13">13</xref>). Platelets play a critical role in the blood clotting process. Under the stimulation of inflammatory mediators, they release additional procoagulant factors, intensifying aggregation activity and escalating thrombus burden. This heightened thrombotic activity significantly contributes to AIS pathophysiology (<xref ref-type="bibr" rid="ref14">14</xref>). Previous studies have shown a link between NLR and functional prognosis 3&#x202F;months after AIS (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Limited information exists regarding the connections between the NLR and the platelet-lymphocyte ratio (PLR) concerning the attainment of the First-Pass Effect (FPE) in cases involving anterior circulation large-vessel occlusion undergoing mechanical thrombectomy. Hence, our study aims to explore the correlation between PLR and NLR and FPE, focusing on assessing the predictive significance of PLR and NLR in achieving FPE during mechanical thrombectomy.</p>
<p>Its objective was to examine the association between the First-Pass Effect (FPE) during mechanical thrombectomy and NLR and PLR.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Patients</title>
<p>Patients with AIS who underwent mechanical thrombectomy in the Department of cerebrovascular Neurosurgery in Liaocheng People&#x2019;s Hospital from January 2020 to December 2022 were retrospectively analyzed. The time for blood sample collection was immediately upon the patient&#x2019;s admission to the emergency department, taking venous blood. Our study was approved by the Ethics Committee of our hospital and exempted from signing informed consent. The following criteria were utilized for final enrollment.</p>
<p>The inclusion criteria comprised: 1. Age&#x202F;&#x003E;&#x202F;18; 2. Absence of intracranial hemorrhagic lesions; 3. Confirmation of anterior circulation large-vessel occlusion through digital subtraction angiography; 4. Receipt of endovascular treatment; 5. Onset of symptoms within less than 6&#x202F;h or between 6 and 24&#x202F;h, while meeting the DEFUSE-3 or DAWN trial selection criteria.</p>
<p>The exclusion criteria in our study included: 1. Absence of NLR and PLR values; 2. Incomplete clinical data or follow-up information; 3. Confirmed posterior circulation pathology identified by DSA; 4. Confirmed anterior circulation tandem lesions identified by DSA; 5. Patients diagnosed with pre-existing active infections, rheumatic immune disorders, or tumors.</p>
<p>&#x201C;FPE&#x201D; was defined as follows: 1. The thrombectomy device achieves single-pass or initial large-vessel occlusion and downstream reperfusion (Modified treatment in cerebral infarction, mTICI 2b-3); 2. The absence of rescue measures such as balloon angioplasty, stent placement, intra-arterial thrombolysis, or the use of alternative catheters.</p>
<p>The definition of &#x2018;MPE&#x2019; in this study encompasses the following criteria: Reperfusion is achieved by employing the thrombectomy device multiple times or through the utilization of rescue measures (mTICI 2b-3).</p>
</sec>
<sec id="sec8">
<title>Endovascular treatment</title>
<p>The surgery was performed under resting compound general anesthesia. Prior to thrombectomy, routine aortic arch and whole cerebral angiography were conducted to identify the occlusion site and assess collateral circulation compensation. The thrombectomy techniques employed at our center primarily include: simple thrombus aspiration technique, stent retrieval technique alone, and combined stent-retrieval with aspiration technique. The operator selects the appropriate surgical approach based on thrombus characteristics and occlusion location. Each insertion and withdrawal of different thrombectomy devices is counted as one maneuver. If inadequate perfusion occurs due to localized vascular stenosis following vascular recanalization, balloon angioplasty or stent implantation is utilized.</p>
</sec>
<sec id="sec9">
<title>Baseline characteristics</title>
<p>The collected basic patient information encompassed demographic factors such as sex, age, stroke history, hypertension status, diabetes status, and atrial fibrillation. Additional data on hematology and inflammatory status collected immediately upon admission to the emergency department include measurements of white blood cells, platelets, neutrophils, and lymphocytes, and calculations of NLR and PLR. Severity of AIS upon admission was assessed utilizing the National Institutes of Health Stroke Scale (NIHSS) score in conjunction with the Alberta Stroke Program Early CT Score (ASPECTS) to evaluate ischemic brain damage via CT imaging. Surgical data encompassed details such as the site of occlusion, collateral circulation, number of thrombectomy passes, interval between symptom onset and puncture, and duration from puncture to reperfusion. Postoperative data included details on emboli escape, contrast agent leakage, intracranial hemorrhage (ICH), and the modified Rankin Scale (mRS) score assessed after 3&#x202F;months.</p>
<p>Collateral circulation was assessed utilizing the American Society of Intervention and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) grading system. Scores ranging from 2 to 3 indicated moderately good to good collateral circulation (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
<p>Vascular reperfusion assessment utilized the Modified Thrombolysis in Cerebral Infarction (mTICI) score, defining successful reperfusion as achieving mTICI 2b/3 (<xref ref-type="bibr" rid="ref18">18</xref>). Favorable functional outcomes were represented as mRS scores between 0 and 2 (<xref ref-type="bibr" rid="ref19">19</xref>), indicative of enhanced functional independence. Unfavorable functional outcomes were denoted by scores ranging from 3 to 6, where a score of 6 signified mortality.</p>
</sec>
<sec id="sec10">
<title>Statistical analysis</title>
<p>In our study, we employed statistical analysis using SPSS 27.0. For missing data, we use the direct deletion method. Normally distributed data are shown as mean&#x202F;&#x00B1;&#x202F;standard deviation (x&#x202F;&#x00B1;&#x202F;s) and were compared with t-tests. Non-normally distributed data are shown as medians and Mann&#x2013;Whitney U tests were used. Categorical data are represented as counts and percentages [<italic>n</italic> (%)]. In the outcome event, the significant variables (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.1) found in the univariate analysis were included in the multivariate binary logistic regression analysis to determine the independent factors affecting FPE. ROC curves were used for evaluating of predictive efficacy. <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Results</title>
<p>As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, our study initially screened 244 patients. Among them, 10 patients were excluded due to the final mTICI &#x003C; 2b, and 1 patient could not be followed up because the phone number could not be reached. Eventually, 233 patients were included, aged between 32 and 99&#x202F;years, with an average age of 68.1&#x202F;&#x00B1;&#x202F;11&#x202F;years, of which 133 were male (57%). The FPE group comprised 94 patients, while the MPE group consisted of 139 patients. Baseline characteristics upon admission revealed higher levels of collateral circulation in FPE patients compared to MPE patients (ASITN/SIR 2&#x2013;3, 66% vs. 34.5%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). The FPE group exhibited lower neutrophil counts (5.10 (3.69&#x2013;6.37) vs. 6.24 (4.32&#x2013;8.40), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), increased lymphocyte counts (1.37 (1.09&#x2013;1.84) vs. 1.21 (0.89&#x2013;1.54), <italic>p</italic>&#x202F;=&#x202F;0.003), and notably lower NLR (3.63 (2.46&#x2013;5.00) vs. 4.90 (3.08&#x2013;7.24), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and PLR (134.92 (105.34&#x2013;173.47) vs. 164.77 (117.90&#x2013;216.39), <italic>p</italic>&#x202F;=&#x202F;0.001) compared to MPE patients (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of patient selection.</p>
</caption>
<graphic xlink:href="fneur-16-1490127-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating patient selection for analysis. Initially, 244 patients were screened. Eleven were excluded (ten due to mTICI less than 2b, one due to loss to follow-up), leaving 233 included. These were further divided into two groups: FPE (n=94) and MPE (n=139).</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Basic patient information and laboratory test results.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Basic information</th>
<th align="center" valign="top">FPE (<italic>N</italic>&#x202F;=&#x202F;94)</th>
<th align="center" valign="top">MPE (<italic>N</italic>&#x202F;=&#x202F;139)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">69.6&#x202F;&#x00B1;&#x202F;9.43</td>
<td align="center" valign="top">67&#x202F;&#x00B1;&#x202F;11.8</td>
<td align="center" valign="top">0.076</td>
</tr>
<tr>
<td align="left" valign="top">Female/Male (<italic>n</italic>)</td>
<td align="center" valign="top">46/48</td>
<td align="center" valign="top">54/85</td>
<td align="center" valign="top">0.127</td>
</tr>
<tr>
<td align="left" valign="top">Risk factors, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="center" valign="top">46 (49)</td>
<td align="center" valign="top">71 (53)</td>
<td align="center" valign="top">0.519</td>
</tr>
<tr>
<td align="left" valign="top">Drinking</td>
<td align="center" valign="top">46 (49)</td>
<td align="center" valign="top">76 (55)</td>
<td align="center" valign="top">0.389</td>
</tr>
<tr>
<td align="left" valign="top">Previous stroke</td>
<td align="center" valign="top">16 (17)</td>
<td align="center" valign="top">20 (14)</td>
<td align="center" valign="top">0.585</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="center" valign="top">71 (76)</td>
<td align="center" valign="top">89 (64)</td>
<td align="center" valign="top">0.063</td>
</tr>
<tr>
<td align="left" valign="top">Coronary artery disease</td>
<td align="center" valign="top">21 (22)</td>
<td align="center" valign="top">34 (25)</td>
<td align="center" valign="top">0.709</td>
</tr>
<tr>
<td align="left" valign="top">Atrial fibrillation</td>
<td align="center" valign="top">60 (64)</td>
<td align="center" valign="top">79 (57)</td>
<td align="center" valign="top">0.286</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td align="center" valign="top">28 (30)</td>
<td align="center" valign="top">34 (25)</td>
<td align="center" valign="top">0.367</td>
</tr>
<tr>
<td align="left" valign="top">Hypercholesterolemia</td>
<td align="center" valign="top">10 (11)</td>
<td align="center" valign="top">25 (18)</td>
<td align="center" valign="top">0.124</td>
</tr>
<tr>
<td align="left" valign="top">Stroke cause, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">LAA</td>
<td align="center" valign="top">21 (22.3)</td>
<td align="center" valign="top">64 (46)</td>
<td rowspan="3"/>
</tr>
<tr>
<td align="left" valign="top">CE</td>
<td align="center" valign="top">70 (74.5)</td>
<td align="center" valign="top">72 (51.8)</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">3 (3.2)</td>
<td align="center" valign="top">3 (2.2)</td>
</tr>
<tr>
<td align="left" valign="top">ASITN/SIR, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">0&#x2013;1</td>
<td align="center" valign="top">32 (34)</td>
<td align="center" valign="top">91 (65.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">2&#x2013;3</td>
<td align="center" valign="top">62 (66)</td>
<td align="center" valign="top">48 (34.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Laboratory data[M (Q1, Q3)]</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Leukocyte (&#x00D7;109/L)</td>
<td align="center" valign="top">7.06 (5.67&#x2013;8.28)</td>
<td align="center" valign="top">7.39 (5.92&#x2013;9.27)</td>
<td align="center" valign="top">0.184</td>
</tr>
<tr>
<td align="left" valign="top">Platelet (&#x00D7;109/L)</td>
<td align="center" valign="top">183 (157&#x2013;219)</td>
<td align="center" valign="top">192 (164&#x2013;228)</td>
<td align="center" valign="top">0.115</td>
</tr>
<tr>
<td align="left" valign="top">Neutrophils (&#x00D7;109/L)</td>
<td align="center" valign="top">5.10 (3.69&#x2013;6.37)</td>
<td align="center" valign="top">6.24 (4.32&#x2013;8.40)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Lymphocyte (&#x00D7;109/L)</td>
<td align="center" valign="top">1.37 (1.09&#x2013;1.84)</td>
<td align="center" valign="top">1.21 (0.89&#x2013;1.54)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">NLR</td>
<td align="center" valign="top">3.63 (2.46&#x2013;5.00)</td>
<td align="center" valign="top">4.90 (3.08&#x2013;7.24)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">PLR</td>
<td align="center" valign="top">134.92 (105.34&#x2013;173.47)</td>
<td align="center" valign="top">164.77 (117.90&#x2013;216.39)</td>
<td align="center" valign="top">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FPE, first pass effect; MPE, multiple-pass effect; PLR, platelet-lymphocyte ratio; NLR, neutrophil-lymphocyte ratio; ASITN/SIR, the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology; LAA, large artery atherosclerosis; CE, Cardioembolism.</p>
</table-wrap-foot>
</table-wrap>
<p>The interval femoral artery puncture and reperfusion was shorter in the FPE group (71 (50&#x2013;82) vs. 89 (62&#x2013;110), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and the admission ASPECT scores were higher (8 (7&#x2013;9) vs. 7 (6&#x2013;8), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Clinical data of patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Clinical data</th>
<th align="center" valign="top">FPE (<italic>N</italic>&#x202F;=&#x202F;94)</th>
<th align="center" valign="top">MPE (<italic>N</italic>&#x202F;=&#x202F;139)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Admission NIHSS score</td>
<td align="center" valign="top">18 (12&#x2013;27)</td>
<td align="center" valign="top">18 (14&#x2013;26)</td>
<td align="center" valign="top">0.335</td>
</tr>
<tr>
<td align="left" valign="top">ASPECT score at admission</td>
<td align="center" valign="top">8 (7&#x2013;9)</td>
<td align="center" valign="top">7 (6&#x2013;8)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Intravenous tPA</td>
<td align="center" valign="top">58 (62)</td>
<td align="center" valign="top">74 (53)</td>
<td align="center" valign="top">0.201</td>
</tr>
<tr>
<td align="left" valign="top">Time from onset to puncture, min</td>
<td align="center" valign="top">292 (235&#x2013;380)</td>
<td align="center" valign="top">296 (218&#x2013;415)</td>
<td align="center" valign="top">0.874</td>
</tr>
<tr>
<td align="left" valign="top">PTR, min</td>
<td align="center" valign="top">71 (50&#x2013;82)</td>
<td align="center" valign="top">89 (62&#x2013;110)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Occlusion position, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">0.151</td>
</tr>
<tr>
<td align="left" valign="top">ICA</td>
<td align="center" valign="top">36 (38.3)</td>
<td align="center" valign="top">56 (40.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">MCA</td>
<td align="center" valign="top">58 (61.7)</td>
<td align="center" valign="top">83 (59.7)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ASPECTS, the Alberta Stroke Program Early CT Score; ICA, internal carotid artery; MCA, middle cerebral artery; NIHSS, National Institute of Health Stroke Scale; PTR, puncture to recanalization; tPA, tissue plasminogen activator; FPE, first pass effect; MPE, multiple-pass effect.</p>
</table-wrap-foot>
</table-wrap>
<p>Compared to patients in the MPE group, patients in the FPE group demonstrated a favorable prognosis at 90&#x202F;days (MRS 0&#x2013;2, 63.8% vs. 48.2%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and the incidence of SICH postoperatively was higher in the MPE group (4.3% vs. 10.8%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Clinical prognosis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Clinical prognosis</th>
<th align="center" valign="top">FPE (<italic>N</italic>&#x202F;=&#x202F;94)</th>
<th align="center" valign="top">MPE (<italic>N</italic>&#x202F;=&#x202F;139)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">SICH, <italic>n</italic> (%)</td>
<td align="center" valign="top">4 (4.3)</td>
<td align="center" valign="top">15 (10.8)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">MRS 0&#x2013;2 at 90&#x202F;days, <italic>n</italic> (%)</td>
<td align="center" valign="top">60 (63.8)</td>
<td align="center" valign="top">67 (48.2)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>sICH, symptomatic intracerebral hemorrhage; MRS, modified Rankin Scale; FPE, first pass effect; MPE, multiple-pass effect.</p>
</table-wrap-foot>
</table-wrap>
<p>The study performed multiple-factor regression analyses to identify independent risk factors impacting FPE (Femoral Percutaneous Endovascular Therapy). In the multiple-factor regression analysis, after adjusting for various factors, the results indicated that NLR (OR 0.764; 95% CI 0.665&#x2013;0.878, <italic>p</italic>&#x202F;=&#x202F;0.001), PLR (OR 0.993; 95% CI 0.989&#x2013;0.998, <italic>p</italic>&#x202F;=&#x202F;0.002), were all independent factors influencing FPE. Both NLR and PLR were identified as independent predictors of FPE risk (<xref ref-type="table" rid="tab4">Tables 4</xref>, <xref ref-type="table" rid="tab5">5</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Multivariate logistic regression of association between NLR and FPE.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Clinical outcomes</th>
<th align="center" valign="top">Adjusted OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">NLR</td>
<td align="center" valign="top">0.764</td>
<td align="center" valign="top">0.665&#x2013;0.878</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Stroke cause</td>
<td align="center" valign="top">0.270</td>
<td align="center" valign="top">0.135&#x2013;0.540</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">ASITN/SIR</td>
<td align="center" valign="top">4.608</td>
<td align="center" valign="top">2.433&#x2013;8.727</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">ASPECT score at admission</td>
<td align="center" valign="top">1.399</td>
<td align="center" valign="top">1.084&#x2013;1.806</td>
<td align="center" valign="top">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odds ratio; CI, confidence interval; NLR, neutrophil-lymphocyte ratio; ASPECTS, the Alberta Stroke Program Early CT Score; ASITN/SIR, the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Multivariate logistic regression of association between PLR and FPE.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Clinical outcomes</th>
<th align="center" valign="top">Adjusted OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PLR</td>
<td align="center" valign="top">0.993</td>
<td align="center" valign="top">0.989&#x2013;0.998</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top">Stroke cause</td>
<td align="center" valign="top">0.278</td>
<td align="center" valign="top">0.142&#x2013;0.545</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">ASITN/SIR</td>
<td align="center" valign="top">4.898</td>
<td align="center" valign="top">2.608&#x2013;9.200</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">ASPECT score at admission</td>
<td align="center" valign="top">1.398</td>
<td align="center" valign="top">1.084&#x2013;1.802</td>
<td align="center" valign="top">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odds ratio; CI, confidence interval; PLR, platelet-lymphocyte ratio; ASPECTS, the Alberta Stroke Program Early CT Score; ASITN/SIR, the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology.</p>
</table-wrap-foot>
</table-wrap>
<p>ROC curves based on biological markers (PLR and NLR), clinical indicators (PTR, ASPECT score at admission, Stroke cause, ASITN/SIR), and a combination of these indicators were used to evaluate the predictive effectiveness for FPE. In these ROC curves, biological markers are depicted in blue, clinical indicators in red, and the combined metrics in green. In our multifactorial combined prediction for FPE, the AUC increased from 0.665 (95% CI 0.595&#x2013;0.734, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) for biological indicators (blue) and 0.771 (95% CI 0.708&#x2013;0.834, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) for clinical indicators (red) to 0.816 (95% CI 0.761&#x2013;0.870, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) for joint indicators (green) (<xref ref-type="table" rid="tab6">Table 6</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>FPE was predicted by biological indicators, clinical indicators and Joint indicators.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Features</th>
<th align="center" valign="top">AUROC</th>
<th align="center" valign="top">95%CI</th>
<th align="center" valign="top">Cutoff value</th>
<th align="center" valign="top">Sensitivity (%)</th>
<th align="center" valign="top">Specificity (%)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Biological indicators</td>
<td align="center" valign="top">0.665</td>
<td align="center" valign="top">0.595&#x2013;0.734</td>
<td align="center" valign="top">0.255</td>
<td align="center" valign="top">78.7%</td>
<td align="center" valign="top">46.8</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Clinical indicators</td>
<td align="center" valign="top">0.771</td>
<td align="center" valign="top">0.708&#x2013;0.834</td>
<td align="center" valign="top">0.441</td>
<td align="center" valign="top">60.6</td>
<td align="center" valign="top">83.5</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Joint indicators</td>
<td align="center" valign="top">0.816</td>
<td align="center" valign="top">0.761&#x2013;0.870</td>
<td align="center" valign="top">0.481</td>
<td align="center" valign="top">81.9</td>
<td align="center" valign="top">66.2</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AUROC, Area under the curve; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Use biological indicators (PLR and NLR), clinical indicators (PTR, ASPECT score at admission, Stroke cause, ASITN/SIR) and the combined ROC curve of the two indexes were used to evaluate the effect of FPE prediction. The area under the curve varies from 0.665 (95% Cl 0.595&#x2013;0.734, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and 0.771 (95% Cl 0.708&#x2013;0.834, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) for biological indicators (blue) and clinical indicators (red) increased to 0.816 (95% Cl 0.761&#x2013;0.870 <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) for joint indicators (green).</p>
</caption>
<graphic xlink:href="fneur-16-1490127-g002.tif">
<alt-text content-type="machine-generated">ROC Curve graph showing three curves in different colors, illustrating the trade-off between sensitivity and 1-specificity. The y-axis represents sensitivity, while the x-axis represents 1-specificity. The red diagonal line indicates no discrimination, serving as a baseline comparison for the curves.</alt-text>
</graphic>
</fig>
<p>The determined cutoff value for NLR was 4.34 (sensitivity: 59.7%, specificity: 67%). PLR had a cutoff value of 148.03 (sensitivity: 54.7%, specificity: 76.2%).</p>
</sec>
<sec sec-type="discussion" id="sec12">
<title>Discussion</title>
<p>This study aimed to explore the associations between NLR and PLR measured upon admission and FPE among patients experiencing acute large-vessel occlusion in the anterior circulation who underwent EVT. Findings from the study reveal an association between elevated NLR and PLR values and FPE failure, correlating these heightened values with adverse patient outcomes.</p>
<p>Numerous factors can impact the prognosis of mechanical thrombectomy. Successful reperfusion on the first attempt (FPE), when compared to multiple thrombectomy attempts, has the potential to enhance patient outcomes (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). The unfavorable prognosis associated with multiple thrombectomy attempts might stem from vascular endothelial cell damage, thrombus escape, and a heightened risk of hemorrhagic transformation (<xref ref-type="bibr" rid="ref21">21</xref>&#x2013;<xref ref-type="bibr" rid="ref23">23</xref>). Research has indicated that patients who achieve FPE during a medical procedure generally have a lower mortality rate, better prognosis, and a lower incidence of symptomatic intracranial hemorrhage (<xref ref-type="bibr" rid="ref5">5</xref>). Thus, the clinical value of the FPE in mechanical thrombectomy is being promoted and explored.</p>
<p>The FPE concept was first proposed by the North American Solitaire Acute Stroke (NASA) registry (<xref ref-type="bibr" rid="ref5">5</xref>). The mechanism through which FPE improves patient outcomes may involve several factors. Each pass of the thrombectomy device through a blood vessel can potentially cause vascular wall injury and distal embolization. Moreover, an increased number of thrombectomy attempts is linked to longer reperfusion times. Therefore, achieving FPE is beneficial (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref24">24</xref>&#x2013;<xref ref-type="bibr" rid="ref27">27</xref>).</p>
<p>Recent studies have shown the close involvement of inflammation in AIS development and progression, particularly in the early stages, with neutrophils being prominent inflammatory cells in the brain. These disrupt the blood&#x2013;brain barrier through the release of proteases and other inflammatory agents, elevating the risk of postoperative sICH and leading to an enlargement of the infarcted brain area. Neutrophils also interact with platelets and coagulation factors, promoting thrombus formation, which increases the thrombus burden and poses challenges for vascular reperfusion (<xref ref-type="bibr" rid="ref28">28</xref>&#x2013;<xref ref-type="bibr" rid="ref30">30</xref>). Lymphocyte subtypes can participate in various inflammatory responses, and they have the potential to reduce the infarcted area and improve functional deficits following AIS. However, the stress-associated release of corticosteroids promotes lymphocyte apoptosis, potentially leading to poorer early functional outcomes and prognosis (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Elevated NLR and PLR values are indicative a greater thrombus burden at the occlusion site, increased difficulty in achieving reperfusion, a higher likelihood of perioperative complications, and ultimately, a worse prognosis for the patient.</p>
<p>In our study, elevated NLR and PLR were linked with an increased likelihood of FPE failure (3.63 (2.46&#x2013;5.00) vs. 4.90 (3.08&#x2013;7.24), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and (134.92 (105.34&#x2013;173.47) vs. 164.77 (117.90&#x2013;216.39), <italic>p</italic>&#x202F;=&#x202F;0.001). Furthermore, higher NLR and PLR were predictive of FPE failure (NLR (OR 0.764; 95% CI 0.665&#x2013;0.878, <italic>p</italic>&#x202F;=&#x202F;0.001)) and PLR (OR 0.993; 95% CI 0.989&#x2013;0.998, <italic>p</italic>&#x202F;=&#x202F;0.002). These findings are in agreement with those of &#x015E;engeze and Giray (<xref ref-type="bibr" rid="ref33">33</xref>), who observed that increased NLR values were predictive of FPE failure in cases with acute middle cerebral artery occlusion following AIS and undergoing mechanical thrombectomy. However, the inclusion of occlusions in other anterior circulation vessels in this study adds to the persuasiveness of the results. The study by Orkun Sarioglu and colleagues found that PLR values were predictive of FPE (<xref ref-type="bibr" rid="ref34">34</xref>). However, what sets this current study apart is that it excluded patients with preoperative active infections and those with a history of antibiotic use within 3&#x202F;months. Additionally, patients with blood disorders, immune diseases, rheumatic diseases, malignancies, and those who used steroid medications were also excluded from the study.</p>
<p>As shown in <xref ref-type="table" rid="tab1">Table 1</xref>, there was no statistically significant difference in lymphocyte counts between the two patient groups. This finding is consistent with existing reports in the literature (<xref ref-type="bibr" rid="ref33">33</xref>). Furthermore, our linear regression analysis revealed variance inflation factor (VIF) values of 2.296 for both NLR and PLR, indicating acceptable collinearity levels. The low correlation between NLR and PLR suggests that their statistical independence was preserved in the analysis.</p>
<p>The reason may be Neutrophil Extracellular Traps (NETs) can limit microbial activity by promoting blood coagulation (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). The interaction between NETs and platelets, as well as between activated platelets and neutrophils, creates a vicious cycle that leads to the formation of pathological thrombi (<xref ref-type="bibr" rid="ref37">37</xref>). NETs have been detected in thrombi from patients with acute large vessel occlusion undergoing mechanical thrombectomy (<xref ref-type="bibr" rid="ref38">38</xref>). Furthermore, researchers have pointed out that markers of NETs are associated with the severity of stroke (<xref ref-type="bibr" rid="ref39">39</xref>&#x2013;<xref ref-type="bibr" rid="ref41">41</xref>). Therefore, in patients with acute large vessel occlusion, an increase in neutrophils and platelets, and consequently in NLR and PLR, suggests an increased thrombus burden, greater difficulty in reperfusion, a higher likelihood of perioperative complications, and ultimately poorer patient outcomes. Under normal physiological conditions, platelets do not adhere to the endothelium. However, the release of pro-inflammatory factors by endothelial cells and damage to the endothelium can lead to platelet aggregation and interaction with neutrophils, promoting the formation of atherosclerosis (<xref ref-type="bibr" rid="ref42">42</xref>). Furthermore, the rupture of atherosclerotic plaques and the exposure of the lipid core can exacerbate platelet aggregation, leading to the formation of local thrombi (<xref ref-type="bibr" rid="ref43">43</xref>). It has been discovered that platelets can identify and release a large number of cytokines and chemokines in response to microbial invasion (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). These functions of platelets, in interaction with neutrophils, promote the formation of thrombi.</p>
<p>Our multifactorial combined analysis for predicting FPE showed higher AUC, sensitivity, and specificity than single-factor predictions, suggesting enhanced predictive capability (0.816 (95%CI 0.761&#x2013;0.870 <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001)). The NLR cutoff value was 4.34, while that for PLR was 148.03. The differences in the ROC areas and the NLR and PLR cutoff values between this study and the one conducted by Orkun Sarioglu and colleagues (with ROC areas of 0.730 and 0.847 and cutoff values of 3.22 and 126.3) could indeed be attributed to various factors (<xref ref-type="bibr" rid="ref34">34</xref>), including potential differences in the study populations, such as racial or genetic variations. These variations in study populations can lead to differences in baseline NLR and PLR values, as well as the thresholds for predicting outcomes like FPE.</p>
<p>Mechtouff L et al.&#x2019;s research found that lower admission levels of interleukin IL-6 are associated with FPE (OR 0.66, 95%CI 0.46&#x2013;0.94), with a threshold value of 3.0&#x202F;pg./mL (<xref ref-type="bibr" rid="ref46">46</xref>). Research has shown a relationship between Syndecan-1 in arterial plasma and acute large vessel occlusion; during the acute phase of such occlusion, Syndecan-1 levels significantly increase, and begin to decrease after successful reperfusion (<xref ref-type="bibr" rid="ref47">47</xref>). In our study, we found that NLR and PLR are independent risk factors for FPE. Future research could combine multiple factors from blood samples taken at different times to dynamically study their relationship with FPE. In previous studies, NLR has been associated with the prognosis of patients with traumatic brain injury (TBI) (<xref ref-type="bibr" rid="ref48">48</xref>), similar value was found in patients with intracerebral hemorrhage (ICH) (<xref ref-type="bibr" rid="ref49">49</xref>). In chronic diseases, NLR remains relevant, and these chronic conditions may be associated with the occurrence of AIS (<xref ref-type="bibr" rid="ref50">50</xref>). Studies have found that diabetic patients have increased NLR ratios, especially those with poor blood sugar control. In diabetic AIS patients, a higher peripheral neutrophil count and a lower lymphocyte ratio lead to an increased NLR (<xref ref-type="bibr" rid="ref51">51</xref>). Furthermore, in diabetic patients, PLR is significantly reduced in the pre-diabetic and early diabetic stages, but increases in the later stages (<xref ref-type="bibr" rid="ref52">52</xref>). Obesity is considered to be associated with arteriosclerotic vascular diseases, and studies show that PLR is significantly elevated in obese patients (<xref ref-type="bibr" rid="ref53">53</xref>). In infective endocarditis, there is also a higher risk of AIS and a higher baseline NLR, which can predict the prognosis.</p>
<p>In infective endocarditis, there is also a higher risk of AIS and a higher baseline NLR, which can predict the prognosis (<xref ref-type="bibr" rid="ref54">54</xref>). Research has shown that NLR and PLR can be used to differentiate active rheumatoid arthritis (<xref ref-type="bibr" rid="ref55">55</xref>). In cancer patients, NLR and PLR still hold diagnostic significance and can serve as blood biomarkers for early screening (<xref ref-type="bibr" rid="ref56">56</xref>).</p>
<p>This study has several limitations. First, it is a single-center retrospective survey without prior intervention from researchers, which inevitably leads to bias in the results, and it is difficult to randomize the included patients, although we strictly implemented the corresponding inclusion and exclusion criteria, it is difficult to eliminate some factors that potentially affect NLR and PLR. Secondly, we only collected the results of blood cells in venous blood at the time of admission, and the choice of surgery by the surgeons based on their experience might have influenced the outcomes of FPE. In the future, a more comprehensive approach might include dynamic analysis of blood cell results from both venous and arterial blood and differentiating between various predictors and thrombectomy techniques, which could be more applicable to clinical practice discoveries and enhance the understanding of factors affecting thrombectomy outcomes after AIS.</p>
<p>In conclusion, in patients with acute anterior circulation large vessel occlusion, the increase of NLR and PLR may be related to the failure of FPE, and when combined with clinical indicators, it is even more related to the failure of FPE.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec13">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
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<sec sec-type="ethics-statement" id="sec14">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Liaocheng People&#x2019;s Hospital ethics committee (Number: 2023231). The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because this study is a retrospective study with no direct contact with the subjects and only retrospective collection and analysis of previous data, which is not used as any auxiliary diagnostic basis, will not have any impact on the clinical outcome of the subjects, and will not be used for any commercial purposes. Moreover, the research results ensure that personal privacy will not be disclosed, so objectively there will be no risk to the subjects.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>GL: Writing &#x2013; original draft, Conceptualization, Formal analysis, Software, Writing &#x2013; review &#x0026; editing. PW: Writing &#x2013; original draft, Software, Formal analysis. BX: Writing &#x2013; original draft, Data curation. HL: Writing &#x2013; original draft, Data curation. LZ: Writing &#x2013; original draft, Supervision. JW: Writing &#x2013; original draft, Supervision. JH: Conceptualization, Project administration, Methodology, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec16">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
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<sec sec-type="disclaimer" id="sec19">
<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>
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