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Krongsut S, Na-Ek N, Soontornpun A, Anusasnee N. Integrating the A 2DS 2 Score with 24-Hour ASPECTS and red cell distribution width for enhanced prediction of stroke-associated pneumonia following intravenous thrombolysis: model development and internal validation. Eur J Med Res 2025; 30:28. [PMID: 39810169 PMCID: PMC11734527 DOI: 10.1186/s40001-025-02282-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2024] [Accepted: 01/08/2025] [Indexed: 01/16/2025] Open
Abstract
INTRODUCTION Stroke-associated pneumonia (SAP) is a major cause of mortality during the acute phase of stroke. The A2DS2 score is widely used to predict SAP risk but does not include 24-h non-contrast computed tomography-Alberta Stroke Program Early CT Score (NCCT-ASPECTS) or red cell distribution width (RDW). We aim to evaluate the added prognostic value of incorporating 24-h NCCT-ASPECTS and RDW into the A2DS2 score and to develop a novel prediction model for SAP following thrombolysis. METHODS This retrospective cohort study included thrombolyzed AIS patients at Saraburi Hospital, Thailand. The combined A2DS2-MFP model incorporated 24-h NCCT-ASPECTS and RDW, along with non-linear continuous predictors, using multivariable fractional polynomial (MFP) regression. Predictive performance was evaluated using the area under the receiver operating characteristic curve (AuROC), calibration plots, and decision curve analysis (DCA), comparing it with the traditional A2DS2 model and a model with continuous predictors. The goodness of fit for logistic regression models in relation to the observed data was determined through the Hosmer-Lemeshow method, and the accuracy of the probability predictions was examined using a calibration curve. Internal validation was performed using a bootstrapping approach. The predicted probability equation obtained from the final model after optimism correction was developed into a web-based application for predicting the risk of SAP, using PHP and JavaScript. RESULTS Of 345 AIS patients, 20.3% developed SAP. The combined A2DS2-MFP model demonstrated excellent discriminative performance (AuROC: 0.917) compared to the traditional A2DS2 model (AuROC: 0.868) and the model with continuous predictors (AuROC: 0.888). Both the calibration curve and the Hosmer-Lemeshow test indicated that the predicted probabilities and observed frequencies were in acceptable agreement. Incorporating 24-h NCCT-ASPECTS and RDW significantly improved risk prediction and clinical utility, as shown by improved reclassification indices and DCA. The model was internally validated with a C-statistic of 0.912, confirming its robustness. CONCLUSIONS The combined A2DS2-MFP calculation showed superior performance, enabling early SAP detection and improving survival outcomes. This novel model offers a practical tool for resource-limited settings, supporting better SAP risk stratification and clinical management.
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Affiliation(s)
- Sarawut Krongsut
- Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Saraburi Hospital, Saraburi, Thailand.
| | - Nat Na-Ek
- Division of Pharmacy Practice, Department of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao, Thailand
- Pharmacoepidemiology, Social and Administrative Pharmacy (P- SAP) Research Unit, School of Pharmaceutical Sciences, University of Phayao, Phayao, Thailand
| | - Atiwat Soontornpun
- Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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Memiş Z, Gürkaş E, Özdemir AÖ, Acar BA, Ögün MN, Aytaç E, Akpınar ÇK, Akıl E, Çabalar M, Özkul A, Görgülü Ü, Bayındır H, Mehdiyev Z, Delibaş Katı Ş, Baydemir R, Yabalak A, Önalan A, Acar T, Aykaç Ö, Uysal Kocabaş Z, Yıldırım S, Doğan H, Arı MS, Çetiner M, Balgetir F, Eren F, Eren A, Kızıldağ N, Cenikli U, Şişman Bayar AB, Temel E, Akbaş AA, Saygın Uysal E, Gültekin H, Durmaz C, Boncuk Ulaş S, Asil T. Impact of Neutrophil-to-Lymphocyte Ratio on Stroke Severity and Clinical Outcome in Anterior Circulation Large Vessel Occlusion Stroke. Diagnostics (Basel) 2024; 14:2880. [PMID: 39767241 PMCID: PMC11675451 DOI: 10.3390/diagnostics14242880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2024] [Revised: 12/19/2024] [Accepted: 12/19/2024] [Indexed: 01/11/2025] Open
Abstract
Background: The prognostic value of the neutrophil-lymphocyte ratio (NLR) in ischemic stroke remains debated due to cohort variability and treatment heterogeneity across studies. This study evaluates the relationship between admission NLR, stroke severity and 90-day outcomes in patients with anterior circulation large vessel occlusion (LVO) undergoing early, successful revascularization. Methods: A retrospective multicenter study was conducted with 1082 patients treated with mechanical thrombectomy for acute ischemic stroke. The relationship between admission NLR, baseline National Institutes of Health Stroke Scale (NIHSS), 24 h NIHSS and 90-day modified Rankin Scale (mRS) outcomes was analyzed using logistic regression. Results: Admission NLR correlated weakly but significantly with both baseline (p = 0.018) and 24 h (p = 0.005) NIHSS scores, reflecting stroke severity. However, multivariate analysis showed that higher 24 h NIHSS scores (OR 0.831, p = 0.000) and prolonged puncture-to-recanalization times (OR 0.981, p = 0.000) were independent predictors of poor 90-day outcomes, whereas NLR was not (p = 0.557). Conclusions: Admission NLR is associated with stroke severity but does not independently predict clinical outcomes at 90 days in patients achieving early and successful revascularization. These findings underscore the critical role of inflammation in the acute phase of stroke but suggest that its prognostic value for long-term outcomes is limited in this context.
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Affiliation(s)
- Zülfikar Memiş
- Department of Neurology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul 34130, Turkey; (Z.M.); (E.T.)
| | - Erdem Gürkaş
- Department of Neurology, Kartal Dr. Lütfi Kırdar City Hospital, University of Health Sciences, Istanbul 34130, Turkey; (E.G.); (A.Ö.)
| | - Atilla Özcan Özdemir
- Department of Neurology, Faculty of Medicine, Eskişehir Osmangazi University, Eskişehir 26040, Turkey; (A.Ö.Ö.); (Ö.A.); (Z.U.K.)
| | - Bilgehan Atılgan Acar
- Department of Neurology, Faculty of Medicine, Sakarya University, Sakarya 54100, Turkey;
| | - Muhammed Nur Ögün
- Department of Neurology, Faculty of Medicine, Bolu Abant İzzet Baysal University, Bolu 14030, Turkey;
| | - Emrah Aytaç
- Department of Neurology, Faculty of Medicine, Fırat University, Elazig 23119, Turkey; (E.A.); (F.B.)
| | - Çetin Kürşad Akpınar
- Department of Neurology, Faculty of Medicine, Samsun University, Samsun 55080, Turkey; (Ç.K.A.); (H.D.)
| | - Eşref Akıl
- Department of Neurology, Faculty of Medicine, Dicle University, Diyarbakir 21280, Turkey; (E.A.); (H.G.); (C.D.)
| | - Murat Çabalar
- Department of Neurology, İstanbul Başakşehir Çam Sakura City Hospital, Istanbul 34480, Turkey; (M.Ç.); (A.Ö.); (M.S.A.)
| | - Ayça Özkul
- Department of Neurology, İstanbul Başakşehir Çam Sakura City Hospital, Istanbul 34480, Turkey; (M.Ç.); (A.Ö.); (M.S.A.)
| | - Ümit Görgülü
- Department of Neurology, Ankara Bilkent City Hospital, Ankara 06800, Turkey; (Ü.G.); (H.B.)
| | - Hasan Bayındır
- Department of Neurology, Ankara Bilkent City Hospital, Ankara 06800, Turkey; (Ü.G.); (H.B.)
| | - Zaur Mehdiyev
- Department of Neurology, Ankara Etlik City Hospital, Ankara 06710, Turkey;
| | - Şennur Delibaş Katı
- Department of Neurology, Antalya Training and Research Hospital, Antalya 07070, Turkey;
| | - Recep Baydemir
- Department of Neurology, Faculty of Medicine, Erciyes University, Kayseri 38030, Turkey;
| | - Ahmet Yabalak
- Department of Neurology, Faculty of Medicine, Düzce University, Duzce 81620, Turkey;
| | - Ayşenur Önalan
- Department of Neurology, Kartal Dr. Lütfi Kırdar City Hospital, University of Health Sciences, Istanbul 34130, Turkey; (E.G.); (A.Ö.)
| | - Türkan Acar
- Department of Neurology, Faculty of Medicine, Sakarya University, Sakarya 54100, Turkey;
| | - Özlem Aykaç
- Department of Neurology, Faculty of Medicine, Eskişehir Osmangazi University, Eskişehir 26040, Turkey; (A.Ö.Ö.); (Ö.A.); (Z.U.K.)
| | - Zehra Uysal Kocabaş
- Department of Neurology, Faculty of Medicine, Eskişehir Osmangazi University, Eskişehir 26040, Turkey; (A.Ö.Ö.); (Ö.A.); (Z.U.K.)
| | - Serhan Yıldırım
- Department of Neurology, Kocaeli City Hospital, Kocaeli 41060, Turkey;
| | - Hasan Doğan
- Department of Neurology, Faculty of Medicine, Samsun University, Samsun 55080, Turkey; (Ç.K.A.); (H.D.)
| | - Mehmet Semih Arı
- Department of Neurology, İstanbul Başakşehir Çam Sakura City Hospital, Istanbul 34480, Turkey; (M.Ç.); (A.Ö.); (M.S.A.)
| | - Mustafa Çetiner
- Department of Neurology, Faculty of Medicine, Kutahya Health Sciences University, Kütahya 43020, Turkey; (M.Ç.); (E.S.U.)
| | - Ferhat Balgetir
- Department of Neurology, Faculty of Medicine, Fırat University, Elazig 23119, Turkey; (E.A.); (F.B.)
| | - Fettah Eren
- Department of Neurology, Faculty of Medicine, Selçuk University, Konya 42130, Turkey;
| | - Alper Eren
- Department of Neurology, Faculty of Medicine, Atatürk University, Erzurum 25240, Turkey; (A.E.); (N.K.)
| | - Nazım Kızıldağ
- Department of Neurology, Faculty of Medicine, Atatürk University, Erzurum 25240, Turkey; (A.E.); (N.K.)
| | - Utku Cenikli
- Department of Neurology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla 48000, Turkey;
| | | | - Ebru Temel
- Department of Neurology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul 34130, Turkey; (Z.M.); (E.T.)
| | - Alihan Abdullah Akbaş
- Department of Neurology, Sakarya University Training and Research Hospital, Sakarya 54100, Turkey;
| | - Emine Saygın Uysal
- Department of Neurology, Faculty of Medicine, Kutahya Health Sciences University, Kütahya 43020, Turkey; (M.Ç.); (E.S.U.)
| | - Hamza Gültekin
- Department of Neurology, Faculty of Medicine, Dicle University, Diyarbakir 21280, Turkey; (E.A.); (H.G.); (C.D.)
| | - Cebrail Durmaz
- Department of Neurology, Faculty of Medicine, Dicle University, Diyarbakir 21280, Turkey; (E.A.); (H.G.); (C.D.)
| | | | - Talip Asil
- Department of Neurology, Faculty of Medicine, Biruni University, Istanbul 34015, Turkey;
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Hou C, Huang X, Wang J, Chen C, Liu C, Liu S, Li H. Inflammation and nutritional status in relation to mortality risk from cardio-cerebrovascular events: evidence from NHANES. Front Nutr 2024; 11:1504946. [PMID: 39726875 PMCID: PMC11669911 DOI: 10.3389/fnut.2024.1504946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 12/02/2024] [Indexed: 12/28/2024] Open
Abstract
Objective Inflammation and nutritional status are closely associated with the mortality risk of survivors of cardio-cerebrovascular events. This study aims to evaluate the relationship between inflammation and nutritional indices and mortality among, identifying the most predictive indices. Methods This study included cohort data of the survivors of major adverse cardiovascular and cerebrovascular events (MACCE) from the National Health and Nutrition Examination Survey (NHANES) in 1999-2010. MACCE is defined as a composite of myocardial infarction, heart failure and stroke, and at least one of the three events occurs. The main outcomes were all-cause mortality and cardiovascular mortality. Kaplan-Meier analysis and receiver operating characteristic curves were used to compare the correlation between seven inflammatory nutritional indices (such as Advanced Lung Cancer Inflammation Index, ALI) and mortality among the survivors. A multivariable-adjusted Cox regression and restricted cubic splines analysis identified the most predictive index, with the optimal number of nodes determined by the Akaike information criterion. Subgroup and sensitivity analyses were conducted to assess model stability. Results A total of 2,045 MACCE survivors were included. The higher levels of ALI and serum albumin were significantly associated with lower risks of all-cause and cardiovascular mortality among these individuals. Increases in C-reactive protein to Lymphocyte Ratio, Neutrophil to Serum Albumin Ratio, Neutrophil-to-Lymphocyte Ratio, Systemic Immune-Inflammation Index (SII), and C-reactive protein were similarly correlated with higher mortality risk. ALI outperformed other indices, displaying a distinct L-shaped nonlinear relationship with both all-cause and cardiovascular mortality among MACCE survivors, with an inflection point at 90 indicating the lowest risk. To the left of this inflection, each unit increase in ALI was associated with a 1.3% decrease in all-cause and cardiovascular mortality risk among MACCE patients. To the right, the risk might increase by 0.2%, although the change was not statistically significant. Subgroup analyses and sensitivity analyses showed that the association between ALI and risk of mortality remained stable in most MACCE survivor populations. Conclusion Routine and dynamic monitoring of ALI is helpful for clinicians to assess the mortality risk among MACCE survivors. Anti-inflammatory therapies and appropriate nutritional support are crucial for reducing mortality in these individuals.
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Affiliation(s)
- Chengzhi Hou
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
| | - Xuanchun Huang
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
| | - Jie Wang
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
| | - Cong Chen
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
| | - Chao Liu
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
| | - Shuyuan Liu
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
- College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | - Hongping Li
- Guang’anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
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Graça SC, Mosca T, Gagliardi VDB, Forte WCN, Gagliardi RJ. Prognostic Impact of Neutrophil-to-Lymphocyte Ratio in Ischemic Stroke. J Pers Med 2024; 14:1149. [PMID: 39728061 DOI: 10.3390/jpm14121149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 11/28/2024] [Accepted: 12/06/2024] [Indexed: 12/28/2024] Open
Abstract
Background/objective: Studies suggest that the neutrophil/lymphocyte ratio (NLR) may be a prognostic marker for different diseases with inflammatory components. This study aimed to quantify the NLR in individuals affected by different subtypes and severities of ischemic stroke and associated it with risk factors and treatment, and compared the results with data from healthy individuals. Methods: Clinical and laboratory data from medical records of patients over 18 years of age, victims of ischemic stroke, were collected. Data included leukocyte count and subtype, topography, risk factors, treatment and severity of stroke. For comparison, the number of leukocytes in healthy individuals was also quantified. NLR was determined by dividing the number of neutrophils by the number of lymphocytes. Results: A total of 218 patients were included, 194 stroke patients and 24 healthy individuals. Among all stroke patients, 45% had NLR values > 4 and 35% had values between 2 and 4; otherwise, 71% of healthy individuals had NRL < 2. The data also showed that the greater the severity of the stroke, measured by the NIHSS scale, the higher the NLR, at 24 and 72 h after the stroke. Among the stroke subtypes evaluated, the one with the lowest NLR values was small vessel stroke. Finally, the risk factors for stroke, its topography and treatment were not associated with NLR values. Conclusions: NLR is associated with stroke severity but does not correlate with stroke risk factors, topography, and treatment. The NLR may serve as a marker of stroke severity.
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Affiliation(s)
| | - Tainá Mosca
- Santa Casa de São Paulo School of Medical Sciences, São Paulo 01224-001, Brazil
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Wang C, Zhou M, Kang T, You S, Cao Y, Kong W, Shi J. The prognostic value of combined uric acid and neutrophil-to-lymphocyte ratio in acute ischemic stroke patients treated with intravenous thrombolysis. BMC Neurol 2024; 24:183. [PMID: 38822243 PMCID: PMC11141032 DOI: 10.1186/s12883-024-03628-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 04/08/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND Serum uric acid (UA) and the neutrophil-to-lymphocyte ratio (NLR) have been reported to be associated with outcomes in acute ischemic stroke (AIS). However, whether UA is related to the prognosis of AIS patients undergoing intravenous thrombolysis (IVT) remains inconclusive. We sought to explore the combined effect of UA and NLR on the prognosis of AIS treated with IVT. METHODS A total of 555 AIS patients receiving IVT treatment were enrolled. Patients were categorized into four groups according to the levels of UA and NLR: LNNU (low NLR and normal UA), LNHU (low NLR and high UA), HNNU (high NLR and normal UA), and HNHU (high NLR and high UA). Multivariable logistic regression analysis was used to evaluate the value of serum UA level and NLR in predicting prognosis. The primary outcomes were major disability (modified Rankin scale (mRS) score 3-5) and death within 3 months. RESULTS After multivariate adjustment, a high NLR (≥ 3.94) increased the risk of 3-month death or major disability (OR, 2.23; 95% CI, 1.42 to 3.55, p < 0.001). However, there was no statistically significant association between a high UA level (≥ 313.00 µmol/L) and clinical outcome. HNHU was associated with a 5.09-fold increase in the risk of death (OR, 5.09; 95% CI, 1.31-19.83; P value = 0.019) and a 1.98-fold increase in the risk of major disability (OR, 1.98; 95% CI 1.07-3.68; P value = 0.030) in comparison to LNNU. CONCLUSIONS High serum UA levels combined with high NLR were independently associated with 3-month death and major disability in AIS patients after IVT.
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Affiliation(s)
- Chentao Wang
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China
| | - Meili Zhou
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China
| | - Tingting Kang
- Department of Neurology, The Nuclear Industry 417 Hospital, Xi'an, Shanxi Province, 710600, China
| | - Shoujiang You
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China
| | - Yongjun Cao
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China
| | - Weina Kong
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China.
| | - Jijun Shi
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China.
- Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215004, China.
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Cao W, Song Y, Bai X, Yang B, Li L, Wang X, Wang Y, Chang W, Chen Y, Wang Y, Chen J, Gao P, Jiao L, Xu X. Systemic-inflammatory indices and clinical outcomes in patients with anterior circulation acute ischemic stroke undergoing successful endovascular thrombectomy. Heliyon 2024; 10:e31122. [PMID: 38778990 PMCID: PMC11109896 DOI: 10.1016/j.heliyon.2024.e31122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 04/01/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024] Open
Abstract
Background There is a lack of comprehensive profile assessment on complete blood count (CBC)-derived systemic-inflammatory indices, and their correlations with clinical outcome in patients with anterior circulation acute ischemic stroke (AIS) who achieved successful recanalization by endovascular thrombectomy (EVT). Methods Patients with anterior circulation AIS caused by large vessel occlusion (AIS-LVO) were retrospectively screened from December 2018 to December 2022. Systemic-inflammatory indices including ratios of neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), platelet-to-lymphocyte (PLR), and platelet-to-neutrophil (PNR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate inflammation systemic index (AISI) on admission and the first day post-EVT were calculated. Their correlations with symptomatic intracranial hemorrhage (sICH) and unfavorable 90-day functional outcome (modified Rankin Scale score of 3-6) were analyzed. Results A total of 482 patients [65 (IQR, 56-72) years; 33 % female] were enrolled, of which 231 (47.9 %) had unfavorable 90-day outcome and 50 (10.4 %) developed sICH. Day 1 neutrophil and monocyte counts, NLR, MLR, PLR, SII, SIRI, and AISI were increased, while lymphocyte and PNR were decreased compared to their admission levels. In multivariate analyses, neutrophil count, NLR, SII, and AISI on day 1 were independently associated with 90-day functional outcome. Moreover, day 1 neutrophil count, NLR, MLR, PLR, PNR, SII, and SIRI were independently linked to the occurrence of sICH. No admission variables were identified as independent risk factors for patient outcomes. Conclusion CBC-derived systemic-inflammatory indices measured on the first day after successful EVT are predictive of 90-day functional outcome and the sICH occurrence in patients with anterior circulation AIS-LVO.
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Affiliation(s)
- Wenbo Cao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
| | - Yiming Song
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Xuesong Bai
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Bin Yang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Long Li
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
| | - Xinyu Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Yuxin Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Wenxuan Chang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Yanfei Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Yabing Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Jian Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Peng Gao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Liqun Jiao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
- Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Xin Xu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
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Freiherr Von Seckendorff A, Nomenjanahary MS, Labreuche J, Ollivier V, Di Meglio L, Dupont S, Hamdani M, Brikci-Nigassa N, Brun A, Boursin P, Piotin M, Mazighi M, Ho-Tin-Noé B, Desilles JP, Delbosc S. Periodontitis in ischemic stroke: impact of Porphyromonas gingivalis on thrombus composition and ischemic stroke outcomes. Res Pract Thromb Haemost 2024; 8:102313. [PMID: 38318152 PMCID: PMC10840352 DOI: 10.1016/j.rpth.2023.102313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 02/07/2024] Open
Abstract
Background Periodontitis is associated with an increased risk of ischemic stroke, but the mechanisms underlying this association remain unclear. Objectives Our objective was to determine whether Porphyromonas gingivalis (Pg), a periodontal bacterium, could be detected within thrombus aspirates, modify thrombus composition, and endovascular therapy responses. Methods The presence of Pg gingipain in 175 consecutive thrombi from patients with large vessel occlusion stroke enrolled in the multicenter research cohort compoCLOT was investigated by immunostaining. Thrombus blood cell composition according to gingipain status was analyzed in a subset of 63 patients. Results Pg gingipain immunostaining was positive in 33.7% of thrombi (95% CI, 26.7%-40.8%). The percentage of near to complete reperfusion (modified Thrombolysis in Cerebral Infarction Score 2c/3) at the end of the procedure was lower in the Pgpos group than the Pgneg group (39.0% vs 57.8% respectively; adjusted odds ratio, 0.38; 95% CI, 0.19-0.77). At 3 months, 35.7% of patients in the Pgpos group had a favorable neurological outcome vs 49.5% in the Pgneg group (odds ratio, 0.65; 95% CI, 0.30-1.40). Quantitative analysis of a subset of 63 thrombi showed that neutrophil elastase content was significantly (P < .05) higher in Pgpos thrombi than in Pgneg thrombi. Conclusion Our results indicate that intrathrombus Pg gingipain is associated with increased neutrophil content and resistance to endovascular therapy.
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Affiliation(s)
- Aurélien Freiherr Von Seckendorff
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Mialitiana Solo Nomenjanahary
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Julien Labreuche
- Department of Biostatistics, Centre Hospitalier Universitaire Lille, Lille, France
| | - Véronique Ollivier
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Lucas Di Meglio
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Sebastien Dupont
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Mylène Hamdani
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
| | - Nahida Brikci-Nigassa
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
| | - Adrian Brun
- Laboratory of Orofacial Pathologies, Imaging and Biotherapies URP2496, Unité de Formation et de Recherche Odontologie, Faculté de Santé, Université Paris Cité, Montrouge, France
- Division of Periodontology, Department of Oral Medicine, Assisantance Publique Hôpitaux de Paris, Henri Mondor Hospital, Créteil, France
| | - Perrine Boursin
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
| | - Michel Piotin
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Mikael Mazighi
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
- Fédération Hospitalo-Universitaire Neurovasc, Department of Neurology, Hopital Lariboisière, Assisantance Publique Hôpitaux de Paris, Paris, France
- Department of Neurology, Hôpital Lariboisière, Assisantance Publique Hôpitaux de Paris Nord, Paris, France
| | - Benoit Ho-Tin-Noé
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
| | - Jean-Philippe Desilles
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
- Fédération Hospitalo-Universitaire Neurovasc, Department of Neurology, Hopital Lariboisière, Assisantance Publique Hôpitaux de Paris, Paris, France
| | - Sandrine Delbosc
- Institut National de la Santé et de la Recherche Médicale, Laboratory for Vascular Translational Research, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
| | - compoCLOT study group
- Interventional Neuroradiology Department and Biological Resources Center, Rothschild Foundation Hospital, Paris, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Unité de Formation et de Recherche Pharmacie, Université Paris Cité, Paris, France
- Department of Biostatistics, Centre Hospitalier Universitaire Lille, Lille, France
- Laboratory of Orofacial Pathologies, Imaging and Biotherapies URP2496, Unité de Formation et de Recherche Odontologie, Faculté de Santé, Université Paris Cité, Montrouge, France
- Division of Periodontology, Department of Oral Medicine, Assisantance Publique Hôpitaux de Paris, Henri Mondor Hospital, Créteil, France
- Fédération Hospitalo-Universitaire Neurovasc, Department of Neurology, Hopital Lariboisière, Assisantance Publique Hôpitaux de Paris, Paris, France
- Department of Neurology, Hôpital Lariboisière, Assisantance Publique Hôpitaux de Paris Nord, Paris, France
- Institut National de la Santé et de la Recherche Médicale, Laboratory for Vascular Translational Research, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
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Costru-Tasnic E, Gavriliuc M, Manole E. Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study. J Med Life 2023; 16:908-914. [PMID: 37675160 PMCID: PMC10478654 DOI: 10.25122/jml-2023-0148] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 05/11/2023] [Indexed: 09/08/2023] Open
Abstract
Ischemic stroke (IS) remains one of the most frequent causes of death and disability worldwide. Identifying possible prognosis factors for IS outcomes, including hemorrhagic transformation (HT), could improve patients' recovery. This study aimed to investigate the potential prognosis role of non-specific laboratory data at admission and baseline MMP-2 and MMP-9 serum levels in predicting HT risk, discharge, and 3-month follow-up status of IS patients. Data from 150 successive acute cerebral infarction patients were analyzed in a prospective cohort study. The active group included patients who developed HT during hospitalization (55 persons). There were no significant differences in age, gender distribution, time to admission, or time to blood sample collection for MMPs measurement between patients in the active and control groups. IS patients from the active group had a significantly higher rate of AF (atrial fibrillation) in the past (p=0.003), while differences in other factors such as diabetes, hypertension, myocardial infarction, previous stroke, obesity, smoking, and alcohol were not significant. Admission NIHSS score and mRS (modified Rankin Scale) values (at discharge and 90 days) were significantly worse in the active group (p<0.001). Among the analyzed admission laboratory factors (glycemia, lipid profile, coagulation panel, inflammatory reaction parameters, MMP-2, MMP-9), INR presented an inverse correlation, with lower values in the HT cohort (univariate analysis - p=0.01, OR=0.11; multivariate analysis - p=0.03, OR=0.09). Further research on larger cohorts is warranted to determine the specific laboratory biomarkers for predicting hemorrhagic transformation and ischemic stroke outcomes.
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Affiliation(s)
- Elena Costru-Tasnic
- Neurology Department no. 1, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova
| | - Mihail Gavriliuc
- Neurology Department no. 1, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova
- Diomid Gherman Institute of Neurology and Neurosurgery, Chisinau, Republic of Moldova
| | - Elena Manole
- Neurology Department no. 1, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova
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Wu B, Liu F, Sun G, Wang S. Prognostic role of dynamic neutrophil-to-lymphocyte ratio in acute ischemic stroke after reperfusion therapy: A meta-analysis. Front Neurol 2023; 14:1118563. [PMID: 36873451 PMCID: PMC9978711 DOI: 10.3389/fneur.2023.1118563] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/23/2023] [Indexed: 02/18/2023] Open
Abstract
Background The prognostic role of the neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, in acute ischemic stroke (AIS) after reperfusion therapy remains controversial. Therefore, this meta-analysis sought to assess the correlation between the dynamic NLR and the clinical outcomes of patients with AIS after reperfusion therapy. Methods PubMed, Web of Science, and Embase databases were searched to identify relevant literature from their inception to 27 October 2022. The clinical outcomes of interest included poor functional outcome (PFO) at 3 months, symptomatic intracerebral hemorrhage (sICH), and 3-month mortality. The NLR on admission (pre-treatment) and post-treatment was collected. The PFO was defined as a modified Rankin scale (mRS) of >2. Results A total of 17,232 patients in 52 studies were included in the meta-analysis. The admission NLR was higher in the 3-month PFO (standardized mean difference [SMD] = 0.46, 95% confidence interval [CI] = 0.35-0.57), sICH (SMD = 0.57, 95% CI = 0.30-0.85), and mortality at 3 months (SMD = 0.60, 95% CI = 0.34-0.87). An elevated admission NLR was associated with an increased risk of 3-month PFO (odds ratio [OR] = 1.13, 95% CI = 1.09-1.17), sICH (OR = 1.11, 95% CI = 1.06-1.16), and mortality at 3 months (OR = 1.13, 95% CI = 1.07-1.20). The post-treatment NLR was significantly higher in the 3-month PFO (SMD = 0.80, 95% CI = 0.62-0.99), sICH (SMD = 1.54, 95% CI = 0.97-2.10), and mortality at 3 months (SMD = 1.00, 95% CI = 0.31-1.69). An elevated post-treatment NLR was significantly associated with an increased risk of 3-month PFO (OR = 1.25, 95% CI = 1.16-1.35), sICH (OR = 1.14, 95% CI = 1.01-1.29), and mortality at 3 months (OR = 1.28, 95% CI = 1.09-1.50). Conclusion The admission and post-treatment NLR can be used as cost-effective and easily available biomarkers to predict the 3-month PFO, sICH, and mortality at 3 months in patients with AIS treated with reperfusion therapy. The post-treatment NLR provides better predictive power than the admission NLR. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022366394.
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Affiliation(s)
- Bing Wu
- Department of Neurology, Army 78th Military Group Hospital, Mudanjiang, China
| | - Fang Liu
- Department of Neurology, Army 78th Military Group Hospital, Mudanjiang, China
| | - Guiyan Sun
- Department of Neurology, Army 78th Military Group Hospital, Mudanjiang, China
| | - Shuang Wang
- Department of Neurology, Army 78th Military Group Hospital, Mudanjiang, China
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10
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Feng Y, Bai X, Li W, Cao W, Xu X, Yu F, Fu Z, Tian Q, Guo X, Wang T, Sha A, Chen Y, Gao P, Wang Y, Chen J, Ma Y, Chen F, Dmytriw AA, Regenhardt RW, Lu J, Ma Q, Yang B, Jiao L. Postoperative neutrophil-lymphocyte ratio predicts unfavorable outcome of acute ischemic stroke patients who achieve complete reperfusion after thrombectomy. Front Immunol 2022; 13:963111. [PMID: 36275640 PMCID: PMC9585914 DOI: 10.3389/fimmu.2022.963111] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Only approximately half of anterior circulation large vessel occlusion (LVO) patients receiving endovascular treatment (EVT) have a favorable outcome. The aim of this study was to explore the association of dynamic inflammatory markers (i.e., neutrophil to lymphocyte ratios, NLR, measured at different times after EVT) as well as other potential influencing factors with unfavorable outcome among acute ischemic stroke (AIS) patients who achieved complete reperfusion after EVT. Methods Patients treated with EVT for LVO between January 2019 to December 2021 were prospectively enrolled. Complete reperfusion was defined as modified thrombolysis in cerebral infarction (mTICI) grade 3. A modified Rankin scale at 90 days (mRS90) of 3-6 was defined as unfavorable outcome (i.e., futile reperfusion). A logistic regression analysis was performed with unfavorable outcome as a dependent variable. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were then used to determine the diagnostic values of NLR and other relevant factors. Results 170 patients with complete reperfusion (mTICI 3) were included in this study. Unfavorable outcome was observed in 70 (41.2%). Higher NLR within 24h (p=0.017) and at 3-7d (p=0.008) after EVT were an independent risk factors for unfavorable outcome at 3 months. In addition, older age, higher NIHSS scores, poor collaterals, and general anesthesia were independent predictors of unfavorable outcomes. When accounting for NLR, the diagnostic efficiency improved compared to conventional characteristics. Conclusion Our findings suggest that advanced age, increased stroke severity, poor collaterals, general anesthesia, and NLR are independent predictors for an unfavorable clinical outcome following complete reperfusion after EVT. Neuroinflammation may merit particular attention in future studies.
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Affiliation(s)
- Yao Feng
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Xuesong Bai
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Wei Li
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Liaocheng Brain Hospital, Liaocheng, China
| | - Wenbo Cao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Xin Xu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Fan Yu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Zhaolin Fu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaofan Guo
- Department of Neurology, Loma Linda University Health, Loma Linda, CA, United States
| | - Tao Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Arman Sha
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Yanfei Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Peng Gao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yabing Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Jian Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Ma
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Fei Chen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Adam A Dmytriw
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Robert W Regenhardt
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Qingfeng Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Bin Yang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Liqun Jiao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing, China
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