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Farahmand Y, Nabiuni M, Vafaei Mastanabad M, Sheibani M, Mahmood BS, Obayes AM, Asadi F, Davallou R. The exo-microRNA (miRNA) signaling pathways in pathogenesis and treatment of stroke diseases: Emphasize on mesenchymal stem cells (MSCs). Cell Biochem Funct 2024; 42:e3917. [PMID: 38379232 DOI: 10.1002/cbf.3917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/07/2023] [Accepted: 12/17/2023] [Indexed: 02/22/2024]
Abstract
A major factor in long-term impairment is stroke. Patients with persistent stroke and severe functional disabilities have few therapy choices. Long noncoding RNAs (lncRNAs) may contribute to the regulation of the pathophysiologic processes of ischemic stroke as shown by altered expression of lncRNAs and microRNA (miRNAs) in blood samples of acute ischemic stroke patients. On the other hand, multipotent mesenchymal stem cells (MSCs) increase neurogenesis, and angiogenesis, dampen neuroinflammation, and boost brain plasticity to improve functional recovery in experimental stroke models. MSCs can be procured from various sources such as the bone marrow, adipose tissue, and peripheral blood. Under the proper circumstances, MSCs can differentiate into a variety of mature cells, including neurons, astrocytes, and oligodendrocytes. Accordingly, the capability of MSCs to exert neuroprotection and also neurogenesis has recently attracted more attention. Nowadays, lncRNAs and miRNAs derived from MSCs have opened new avenues to alleviate stroke symptoms. Accordingly, in this review article, we examined various studies concerning the lncRNAs and miRNAs' role in stroke pathogenesis and delivered an overview of the therapeutic role of MSC-derived miRNAs and lncRNAs in stroke conditions.
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Affiliation(s)
- Yalda Farahmand
- School of Medicine, Terhan University of Medical Sciences, Tehran, Iran
| | - Mohsen Nabiuni
- Neurosurgery Department, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mahsa Vafaei Mastanabad
- Neurosurgery Department, Faculty of Medicine, Qazvin University of Medical Science, Qazvin, Iran
| | - Mehrnaz Sheibani
- Division of Pediatric Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Ali Mohammed Obayes
- College of Nursing, National University of Science and Technology, Dhi Qar, Iraq
| | - Fatemeh Asadi
- Department of Genetics, Fars Science and Research Branch, Islamic Azad University, Marvdasht, Iran
- Department of Genetics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
| | - Rosa Davallou
- Department of Neurology, Sayyad Shirazi Hospital, Golestan University of Medical Siences, Gorgan, Iran
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Mike JK, White Y, Hutchings RS, Vento C, Ha J, Manzoor H, Lee D, Losser C, Arellano K, Vanhatalo O, Seifert E, Gunewardena A, Wen B, Wang L, Wang A, Goudy BD, Vali P, Lakshminrusimha S, Gobburu JV, Long-Boyle J, Wu YW, Fineman JR, Ferriero DM, Maltepe E. Perinatal Azithromycin Provides Limited Neuroprotection in an Ovine Model of Neonatal Hypoxic-Ischemic Encephalopathy. Stroke 2023; 54:2864-2874. [PMID: 37846563 PMCID: PMC10589434 DOI: 10.1161/strokeaha.123.043040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 07/17/2023] [Accepted: 08/11/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Hypoxic-ischemic brain injury/encephalopathy affects about 1.15 million neonates per year, 96% of whom are born in low- and middle-income countries. Therapeutic hypothermia is not effective in this setting, possibly because injury occurs significantly before birth. Here, we studied the pharmacokinetics, safety, and efficacy of perinatal azithromycin administration in near-term lambs following global ischemic injury to support earlier treatment approaches. METHODS Ewes and their lambs of both sexes (n=34, 141-143 days) were randomly assigned to receive azithromycin or placebo before delivery as well as postnatally. Lambs were subjected to severe global hypoxia-ischemia utilizing an acute umbilical cord occlusion model. Outcomes were assessed over a 6-day period. RESULTS While maternal azithromycin exhibited relatively low placental transfer, azithromycin-treated lambs recovered spontaneous circulation faster following the initiation of cardiopulmonary resuscitation and were extubated sooner. Additionally, peri- and postnatal azithromycin administration was well tolerated, demonstrating a 77-hour plasma elimination half-life, as well as significant accumulation in the brain and other tissues. Azithromycin administration resulted in a systemic immunomodulatory effect, demonstrated by reductions in proinflammatory IL-6 (interleukin-6) levels. Treated lambs exhibited a trend toward improved neurodevelopmental outcomes while histological analysis revealed that azithromycin supported white matter preservation and attenuated inflammation in the cingulate and parasagittal cortex. CONCLUSIONS Perinatal azithromycin administration enhances neonatal resuscitation, attenuates neuroinflammation, and supports limited improvement of select histological outcomes in an ovine model of hypoxic-ischemic brain injury/encephalopathy.
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Affiliation(s)
- Jana Krystofova Mike
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Yasmine White
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Rachel S. Hutchings
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Christian Vento
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Janica Ha
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Hadiya Manzoor
- Department of Biomedical Engineering (H.M., A.W.), University of California Davis
| | - Donald Lee
- School of Pharmacy, University of Maryland, Baltimore (D.L., J.V.S.G.)
| | - Courtney Losser
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Kimberly Arellano
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Oona Vanhatalo
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
- Department of Pediatrics (B.D.G., P.V., B.D.G., P.V., S.L., J.-L.B., O.V.), University of California Davis
| | - Elena Seifert
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Anya Gunewardena
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
| | - Bo Wen
- College of Pharmacy, University of Michigan, Ann Arbor (B.W., L.W.)
| | - Lu Wang
- College of Pharmacy, University of Michigan, Ann Arbor (B.W., L.W.)
- Department of Biomedical Engineering (H.M., A.W.), University of California Davis
| | - Aijun Wang
- Department of Biomedical Engineering (H.M., A.W.), University of California Davis
| | - Brian D. Goudy
- Department of Pediatrics (B.D.G., P.V., B.D.G., P.V., S.L., J.-L.B., O.V.), University of California Davis
| | - Payam Vali
- Department of Pediatrics (B.D.G., P.V., B.D.G., P.V., S.L., J.-L.B., O.V.), University of California Davis
| | - Satyan Lakshminrusimha
- Department of Pediatrics (B.D.G., P.V., B.D.G., P.V., S.L., J.-L.B., O.V.), University of California Davis
| | - Jogarao V.S. Gobburu
- School of Pharmacy, University of Maryland, Baltimore (D.L., J.V.S.G.)
- Initiative for Pediatric Drug and Device Development, San Francisco, CA (J.V.S.G., J.R.F., E.M.)
| | - Janel Long-Boyle
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
- School of Pharmacy (J.L.-B.), University of California San Francisco
- Department of Pediatrics (B.D.G., P.V., B.D.G., P.V., S.L., J.-L.B., O.V.), University of California Davis
| | - Yvonne W. Wu
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
- Department of Neurology, Weill Institute for Neurosciences (Y.W.W., D.M.F.), University of California San Francisco
| | - Jeffrey R. Fineman
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
- Initiative for Pediatric Drug and Device Development, San Francisco, CA (J.V.S.G., J.R.F., E.M.)
| | - Donna M. Ferriero
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
- Department of Neurology, Weill Institute for Neurosciences (Y.W.W., D.M.F.), University of California San Francisco
| | - Emin Maltepe
- Department of Pediatrics (J.K.M., Y.W., R.S.H., C.V., J.H., C.L., K.A., O.V., E.S., A.G., J.L.-B., Y.W.W., J.R.F., D.M.F., E.M.), University of California San Francisco
- Department of Biomedical Sciences (E.M.), University of California San Francisco
- Initiative for Pediatric Drug and Device Development, San Francisco, CA (J.V.S.G., J.R.F., E.M.)
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Mike JK, White Y, Hutchings RS, Vento C, Ha J, Iranmahboub A, Manzoor H, Gunewardena A, Cheah C, Wang A, Goudy BD, Lakshminrusimha S, Long-Boyle J, Fineman JR, Ferriero DM, Maltepe E. Effect of Clemastine on Neurophysiological Outcomes in an Ovine Model of Neonatal Hypoxic-Ischemic Encephalopathy. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1728. [PMID: 38002819 PMCID: PMC10670092 DOI: 10.3390/children10111728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 11/26/2023]
Abstract
Originally approved by the U.S. Food and Drug Administration (FDA) for its antihistamine properties, clemastine can also promote white matter integrity and has shown promise in the treatment of demyelinating diseases such as multiple sclerosis. Here, we conducted an in-depth analysis of the feasibility, safety, and neuroprotective efficacy of clemastine administration in near-term lambs (n = 25, 141-143 days) following a global ischemic insult induced via an umbilical cord occlusion (UCO) model. Lambs were randomly assigned to receive clemastine or placebo postnatally, and outcomes were assessed over a six-day period. Clemastine administration was well tolerated. While treated lambs demonstrated improvements in inflammatory scores, their neurodevelopmental outcomes were unchanged.
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Affiliation(s)
- Jana Krystofova Mike
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Yasmine White
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Rachel S. Hutchings
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Christian Vento
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Janica Ha
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Ariana Iranmahboub
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Hadiya Manzoor
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Anya Gunewardena
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Cheryl Cheah
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
| | - Aijun Wang
- Department of Biomedical Engineering, University of California Davis, Davis, CA 95817, USA;
| | - Brian D. Goudy
- Department of Pediatrics, University of California Davis, Davis, CA 95817, USA (S.L.)
| | | | - Janel Long-Boyle
- School of Pharmacy, University of California San Francisco, San Francisco, CA 94143, USA
- Initiative for Pediatric Drug and Device Development, San Francisco, CA 94143, USA
| | - Jeffrey R. Fineman
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
- Initiative for Pediatric Drug and Device Development, San Francisco, CA 94143, USA
| | - Donna M. Ferriero
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Emin Maltepe
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94158, USA (R.S.H.); (A.I.); (C.C.); (D.M.F.)
- Initiative for Pediatric Drug and Device Development, San Francisco, CA 94143, USA
- Department of Biomedical Sciences, University of California San Francisco, San Francisco, CA 94143, USA
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Ma F, Li L, Xu L, Wu J, Zhang A, Liao J, Chen J, Li Y, Li L, Chen Z, Li W, Zhu Q, Zhu Y, Wu M. The relationship between systemic inflammation index, systemic immune-inflammatory index, and inflammatory prognostic index and 90-day outcomes in acute ischemic stroke patients treated with intravenous thrombolysis. J Neuroinflammation 2023; 20:220. [PMID: 37777768 PMCID: PMC10543872 DOI: 10.1186/s12974-023-02890-y] [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: 05/18/2023] [Accepted: 09/02/2023] [Indexed: 10/02/2023] Open
Abstract
BACKGROUND AND PURPOSE To explore the association of systemic inflammatory index (SIRI), systemic immune-inflammatory index (SII) and inflammatory prognosis index (IPI) with 90d outcomes in patients with acute ischemic stroke (AIS) after intravenous thrombolysis. METHODS The patients who underwent intravenous thrombolysis were enrolled in the present study from September 2019 to December 2022. According to the relevant blood indexes obtained in 24 h after admission, the corresponding values of SIRI, SII and IPI were calculated. The correlation among SIRI, SII, IPI, and admission NIHSS scores was examined by Spearman correlation analysis. ROC curve analysis was conducted to determine the optimal cut-off value of SIRI, SII, IPI, and their corresponding sensitivity and specificity to evaluate their predictive value on admission for poor prognosis. To investigate whether high SIRI, SII, and IPI were independent predictors of poor outcomes within 90 days, variables with P-value < 0.05 during univariate analysis were included in multivariate analysis. RESULTS Compared with the good outcome group, the poor outcome group had higher SIRI, IPI, and SII. Spearman correlation analysis showed that the SIRI, IPI, and SII levels significantly correlated with the admission NIHSS score (r = 0.338, 0.356, 0.427, respectively; Ps < 0.001). Univariate analysis and Multivariate logistic regression analysis revealed high SIRI, SII, and IPI values as independent risk factors for poor 90-day prognosis (OR = 1.09, 1.003 and 7.109, respectively). CONCLUSIONS High SIRI, IPI, and SII values are correlated with poor 90d outcomes in AIS patients undergoing intravenous thrombolysis.
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Affiliation(s)
- Fei Ma
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Lulu Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Liang Xu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Jiacheng Wu
- Friend Plastic Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Aimei Zhang
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Junqi Liao
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Jingyi Chen
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Yunze Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Li Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Zhaoyao Chen
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Wenlei Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China
| | - Qing Zhu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China.
| | - Yuan Zhu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China.
| | - Minghua Wu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210029, China.
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Tang HH, Wang YJ, Wang Z, Yan GL, Qiao Y, Li X, Wang D, Tang CC. Predicting cerebral white matter lesions based on the platelet-to-white blood cell ratio in hypertensive patients. Brain Res 2023; 1808:148340. [PMID: 36966958 DOI: 10.1016/j.brainres.2023.148340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/12/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023]
Abstract
Hypertension is a common chronic disease affecting many people. White matter lesions (WMLs) are one of the imaging features of cerebrovascular disease. Predicting the possibility of developing syncretic WMLs in patients with hypertension may contribute to the early identification of serious clinical conditions. This study aims to build a model to identify patients who suffered from moderate-to-severe WMLs by using recognized WMLs risk factors including age and history of diabetes and a new factor named platelet-to-white blood cell ratio (PWR). A total of 237 patients were included in this study. The Affiliated ZhongDa Hospital of Southeast University Research Ethics Committee approved this study (Ethics No. 2019ZDSYLL189-P01). We developed a nomogram to predict the risk of syncretic WMLs in patients with hypertension using the above factors. Higher total scores on the nomogram indicated a higher risk of syncretic WMLs. This means older age, smaller PWR, and patients suffering from diabetes contributed to a greater chance for the patient to suffer from syncretic WMLs. We used a decision analysis curve(DCA) to determine the net benefit of the prediction model. The DCA we constructed showed that using our model to decide whether patients suffered from syncretic WMLs or not was better than assuming they all suffered from syncretic WMLs or all WMLs-free. As a result, the area under the curve of our model was 0.787. By integrating PWR, history of diabetes, and age, we could estimate integrated WMLs in hypertensive patients. This study provides a potential tool to identify cerebrovascular disease in patients with hypertension.
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Affiliation(s)
- Hui-Hong Tang
- Department of Cardiology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China
| | - Yan-Juan Wang
- Department of Neurology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China
| | - Zan Wang
- Department of Neurology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China
| | - Gao-Liang Yan
- Department of Cardiology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China
| | - Yong Qiao
- Department of Cardiology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China
| | | | - Dong Wang
- Department of Cardiology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China.
| | - Cheng-Chun Tang
- Department of Cardiology, Zhongda Hospital, Southeast University, P.R. China; Southeast University, P.R. China.
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Zhang W, Wang Y, Zhang Q, Hou F, Wang L, Zheng Z, Guo Y, Chen Z, Hernesniemi J, Feng G, Gu J. Prognostic significance of white blood cell to platelet ratio in delayed cerebral ischemia and long-term clinical outcome after aneurysmal subarachnoid hemorrhage. Front Neurol 2023; 14:1180178. [PMID: 37273707 PMCID: PMC10234150 DOI: 10.3389/fneur.2023.1180178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 05/09/2023] [Indexed: 06/06/2023] Open
Abstract
Objectives The ratio of white blood cell to platelet count (WPR) is considered a promising biomarker in some diseases. However, its prediction of delayed cerebral ischemia (DCI) and prognosis after aneurysmal subarachnoid hemorrhage (aSAH) has not been studied. The primary objective of this study was to investigate the predictive value of WPR in DCI after aSAH and its impact on 90-day functional outcome. Materials and methods This study retrospectively analyzed the data of blood biochemical parameters in 447 patients with aSAH at early admission. Univariate and multivariate analyses were used to determine the risk factors for DCI. According to multivariate analysis results, a nomogram for predicting DCI is developed and verified by R software. The influence of WPR on 90-day modified Rankin score (mRS) was also analyzed. Results Among 447 patients with aSAH, 117 (26.17%) developed DCI during hospitalization. Multivariate logistic regression analysis showed that WPR [OR = 1.236; 95%CI: 1.058-1.444; p = 0.007] was an independent risk factor for DCI. The receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive ability of WPR for DCI, and the cut-off value of 5.26 (AUC 0.804, 95% CI: 0.757-0.851, p < 0.001). The ROC curve (AUC 0.875, 95% CI: 0.836-0.913, p < 0.001) and calibration curve (mean absolute error = 0.017) showed that the nomogram had a good predictive ability for the occurrence of DCI. Finally, we also found that high WPR levels at admission were closely associated with poor prognosis. Conclusion WPR level at admission is a novel serum marker for DCI and the poor prognosis after aSAH. A nomogram model containing early WPR will be of great value in predicting DCI after aSAH.
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Affiliation(s)
- Wanwan Zhang
- Department of Neurosurgery, Henan University People's Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- School of Clinical Medicine, Henan University, Kaifeng, China
| | - Yifei Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Qingqing Zhang
- Department of Neurosurgery, Henan University People's Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- School of Clinical Medicine, Henan University, Kaifeng, China
| | - Fandi Hou
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
| | - Lintao Wang
- Department of Neurosurgery, Henan University People's Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- School of Clinical Medicine, Henan University, Kaifeng, China
| | - Zhanqiang Zheng
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
| | - Yong Guo
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
| | - Zhongcan Chen
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
| | - Juha Hernesniemi
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
| | - Guang Feng
- Department of Neurosurgery, Henan University People's Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
| | - Jianjun Gu
- Department of Neurosurgery, Henan University People's Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China
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Association of platelet-to-neutrophil ratios with 1-year outcome and mortality in patients with acute ischemic stroke. Neurosci Lett 2023; 798:137016. [PMID: 36529389 DOI: 10.1016/j.neulet.2022.137016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 12/06/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Platelet-neutrophil crosstalk is being increasingly recognized as a driver of inflammation and thrombosis in patients with ischemic stroke. The aim of this study was to investigate the potential of PNR value in predicting the long-term prognosis and evaluate whether or not an available and routine blood cell biomarker could help predict the long-term neurological function and mortality in AIS patients. METHODS A total of 718 patients with suspected acute ischemic stroke were involved and followed up for 1 year by standard telephone interview or reexamination. Kaplan-Meier curve, Univariate and Multivariate Cox Regression were analyzed using Statistical Packages for Social Sciences. RESULTS ROC curve for PNR to evaluate 1-year outcomes was analyzed and the area under the curve (AUC) was 0.659 (P < 0.001). The cutoff point was observed at 38.30, with a sensitivity of 53.09 % and a specificity of 71.25 %. Moreover, patients in PNR ≤ 38.30 were more likely to have more serious NIHSS on admission, 1-year mRS and higher 1-year mortality (P < 0.001, respectively). The 1-year mortality in the low PNR group was significantly higher than that of the high PNR group (log-rank tests: P < 0.0001). Age, NIHSS, RBC and PNR were combined into model B which significantly increased the AUC value from 0.736 to 0.888 compared to model A (including Age, NIHSS and RBC). CONCLUSION PNR may serve as a readily assessable biomarker for early predicting neurological deterioration and the long-term prognosis of AIS. The nomogram that included age, NIHSS, PNR and RBC may be a useful predictive tool for 1-year mortality.
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Wang S, Zhang L, Qi H, Zhang(F) L, Fang Q, Qiu L. Pan-Immune-Inflammatory Value Predicts the 3 Months Outcome in Acute Ischemic Stroke Patients after Intravenous Thrombolysis. Curr Neurovasc Res 2023; 20:464-471. [PMID: 37921190 PMCID: PMC10825792 DOI: 10.2174/0115672026276427231024045957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/09/2023] [Accepted: 09/12/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND AND PURPOSE Immune and inflammatory response plays a central role in the clinical outcomes of stroke. This study is aimed to explore the clinical significance of the new inflammation index named pan-immune-inflammation value (PIV) in patients with acute ischemic stroke (AIS) after intravenous thrombolysis therapy (IVT). METHODS Data were collected from 717 patients who received IVT at the First Affiliated Hospital of Soochow University. Baseline data were collected before intravenous thrombolysis. Multivariate logistic regression analysis was used to assess the association between PIV and 3 months clinical outcome after intravenous thrombolysis. We also used receiver operating characteristic (ROC) curves analysis to assess the discriminative ability of PIV, platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), and systemic immune-inflammation index (SII) in predicting 3 months poor outcome. RESULTS Of 717 patients, 182 (25.4%) patients had poor outcomes at 3 months. Patients with 3 months of poor outcome had significantly higher PIV levels compared to those with favorable outcomes [316.32 (187.42-585.67) vs. 223.80 (131.76-394.97), p < 0.001)]. After adjusting for potential confounders, the risk of 3 months of poor outcome was significantly higher among patients whose PIV fell in the third quartile (244.21-434.49) and the fourth quartile (> 434.49) than those in the first quartile (< 139.93) (OR = 1.905, 95% CI: 1.040-3.489; OR = 2.229, 95%CI: 1.229-4.044). The area under the ROC curve of PIV to predict 3 months of poor outcome was 0.607 (95%CI: 0.560-0.654; p < 0.001). The optimal cut-off values of PIV were 283.84 (59% sensitivity and 62% specificity). CONCLUSION The higher levels of PIV were independently associated with 3 months of poor outcomes in AIS patients receiving IVT. PIV like other inflammatory factors (PLR, NLR, and SII), can also predict adverse outcomes after IVT in AIS patients.
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Affiliation(s)
- Shan Wang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lulu Zhang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Huan Qi
- Department of General Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lulu Zhang(F)
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Neurology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China
| | - Lanfeng Qiu
- Department of Emergency, The First Affiliated Hospital of Soochow University, Suzhou, China
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Yang H, Lv Z, Wang W, Wang Y, Chen J, Wang Z. Machine Learning Models for Predicting Early Neurological Deterioration and Risk Classification of Acute Ischemic Stroke. Clin Appl Thromb Hemost 2023; 29:10760296231221738. [PMID: 38115694 PMCID: PMC10734329 DOI: 10.1177/10760296231221738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/24/2023] [Accepted: 12/04/2023] [Indexed: 12/21/2023] Open
Abstract
This study aimed to create machine learning models for predicting early neurological deterioration and risk classification in acute ischemic stroke (AIS) before intravenous thrombolysis (IVT). The study included 704 AIS patients categorized into END and non-END groups. The least absolute shrinkage and selection operator (LASSO) regression was employed to select the best predictors from clinical indicators, leading to the creation of Model 1. Univariate and multivariate logistic regression analyses identified independent predictive factors for END from inflammatory cell ratios. These factors were combined with clinical indicators, forming Model 2. Receiver operating characteristic (ROC) curves assessed the models' predictive performance. Key variables for Model 1 included the NIHSS score, systolic blood pressure, and lymphocyte percentage. Neutrophil-to-Lymphocyte ratio, Platelet-to-Neutrophil ratio, and Platelet-to-Lymphocyte ratio independently predicted END. Model 1 exhibited moderate predictive ability (AUC 0.721 in training, AUC 0.635 in test). Model 2, which integrated clinical indicators and inflammatory cell ratios, demonstrated strong performance in both training (AUC 0.862) and test (AUC 0.816). Machine learning models, combining clinical indicators and inflammatory cell ratios before IVT, accurately predict END and associated risk in AIS.
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Affiliation(s)
- Huan Yang
- Department of Emergency, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Zhe Lv
- Department of Emergency, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Wenxi Wang
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Yaohui Wang
- Department of Emergency, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Jie Chen
- Department of Emergency, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Zhanqiu Wang
- Department of Magnetic Resonance Imaging, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
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Kim HK, Lee KO, Oh SH, Lee KY, Choo SW, Kim OJ, Kim TG, Kim SH, Na SJ, Heo JH. The clinical significance of peripheral blood cell ratios in patients with intracranial aneurysm. Front Neurol 2022; 13:1080244. [PMID: 36605785 PMCID: PMC9807666 DOI: 10.3389/fneur.2022.1080244] [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: 10/26/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Background and objective Inflammation is an important factor in the development of aneurysm, and has been identified as a key characteristic predictive of rupture of intracranial aneurysm (IA). However, the role of inflammatory peripheral blood cell ratios in patients with IA has not been well delineated. Methods A total of 1,209 patients, including 1,001 with unruptured IA and 208 with ruptured IA, were enrolled in this study. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), platelet-to-neutrophil ratio (PNR), and platelet-to-white-blood-cell ratio (PWR) were compared between ruptured and unruptured IA. Results Compared with the ruptured IA group, the unruptured IA group had higher PNR {median, 65.96 [interquartile range (IQR) 48.95-85.05] vs. 37.78 (IQR, 23.17-54.05); p < 0.001} and PWR [median, 36.89 (IQR 29.38-44.56) vs. 22.39 (IQR, 16.72-29.29); p < 0.001]. In multivariate analysis, PNR and PWR were independently associated with ruptured IA (p = 0.001 and p < 0.001, respectively). Unruptured IA subgroup analyses according to the PHASES scores showed that a higher PHASES score was associated with significantly higher NLR and erythrocyte sedimentation rate (p < 0.001 and p = 0.025) and lower PNR and PWR (p < 0.001 and p = 0.007). Conclusions We demonstrated that lower PNR and PWR levels are associated with ruptured IA and a higher PHASES score. Unlike many other inflammatory markers and bioassays, peripheral blood cell ratios are inexpensive and readily available biomarkers that may be useful for risk stratification in patients with cerebral aneurysm. However, a long-term prospective study is needed to clarify this matter.
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Affiliation(s)
- Hyun Kyung Kim
- Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea
| | - Kee Ook Lee
- Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea,*Correspondence: Kee Ook Lee ✉
| | - Seung-Hun Oh
- Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea
| | - Kyung-Yul Lee
- Departments of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Wook Choo
- Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea,Department of Biomedical Laboratory Science, College of Natural Science, Daejeon University, Daejeon, South Korea
| | - Ok Joon Kim
- Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea
| | - Tae Gon Kim
- Department of Neurosurgery, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea
| | - Sang-Heum Kim
- Department of Radiology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam-si, South Korea
| | - Sang-Jun Na
- Department of Neurology, Konyang University College of Medicine, Daejeon, South Korea
| | - Ji Hoe Heo
- Departments of Neurology, Yonsei University College of Medicine, Seoul, South Korea
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11
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Chen CH, Sung CW, Jeng JS, Fan CY, Chang JH, Chen JW, Tang SC, Huang EPC. Utility of carotid ultrasound on prediction of 1-year mortality in emergency department patients with neurological deficits: A 10-year population-based cohort study. PLoS One 2022; 17:e0277951. [PMID: 36534671 PMCID: PMC9762588 DOI: 10.1371/journal.pone.0277951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 11/07/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND This study aimed to investigate the association between the carotid ultrasound results and 1-yr mortality of patients with neurological deficits in the emergency department (ED). METHODS This study included patients with neurological symptoms who presented to the ED between January 1, 2009 and December 31, 2018, and underwent sonographic imaging of the bilateral carotid bulb, common carotid artery (CCA), internal carotid artery (ICA), and external carotid arteries. A stenosis degree of >50% was defined as significant carotid stenosis. Carotid plaque score (CPS) was calculated by adding the score of stenosis severity of all segments. The association between carotid ultrasound results and 1-yr mortality was investigated using the Cox regression model. RESULTS The analysis included 7,961 patients (median age: 69 yr; men: 58.7%). Among them, 247 (3.1%) passed away from cardiovascular (CV)-related causes, and 746 (9.4%) died within a year. The mortality group presented with more significant carotid stenosis of the carotid bulb, CCA, or ICA and had a higher median CPS. A higher CPS was associated with a greater 1-yr all-cause mortality (adjusted hazard ratio [aHR] = 1.08; 95% confidence interval [CI] = 1.03-1.13; p = 0.001; log-rank p < 0.001) and CV-related mortality (aHR = 1.13; 95% CI = 1.04-1.22; p = 0.002, log-rank p < 0.001). Significant stenosis of either carotid artery segment did not result in a higher risk of 1-yr mortality. CONCLUSIONS We comprehensively investigated the utility of carotid ultrasound parameters on predicting mortality in this 10-yr population-based cohort, which included over 7,000 patients with acute neurological deficits presented to the ED. The result showed that CPS could be used as risk stratification tools for 1-yr all-cause and CV mortality.
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Affiliation(s)
- Chi-Hsin Chen
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Chih-Wei Sung
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Jiann-Shing Jeng
- Stroke Center & Department of Neurology, National Taiwan University Hospital, Taipei City, Taiwan
| | - Cheng-Yi Fan
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Jia-How Chang
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Jiun-Wei Chen
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
| | - Sung-Chun Tang
- Stroke Center & Department of Neurology, National Taiwan University Hospital, Taipei City, Taiwan
- * E-mail: (SCT); (EPCH)
| | - Edward Pei-Chuan Huang
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City, Taiwan
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei City, Taiwan
- * E-mail: (SCT); (EPCH)
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12
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Shimamura N, Naraoka M, Uchida K, Tokuda K, Sakai N, Imamura H, Yamagami H, Tanaka K, Ezura M, Nonaka T, Matsumoto Y, Shibata M, Ohta H, Morimoto M, Fukawa N, Hatano T, Enomoto Y, Takeuchi M, Ota T, Shimizu F, Kimura N, Kamiya Y, Morimoto T, Yoshimura S. Reperfusion Therapy Brings Apixaban Administration Forward in Patients with Nonvalvular Arterial Fibrillation with Anterior Circulation Large Vessel Occlusion or Stenosis. World Neurosurg 2022; 162:e503-e510. [PMID: 35304345 DOI: 10.1016/j.wneu.2022.03.036] [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: 12/17/2021] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE The initiation of anticoagulant administration after large vessel occlusion (LVO) or stenosis with nonvalvular arterial fibrillation (NAVF) is controversial. We evaluate the timing of anticoagulation and its relationship with clinical factors. METHODS We enrolled 595 anterior circulation LVO or stenosis with NAVF cases from 38 stroke centers. Laboratory data; activities of daily living; the Alberta Stroke Program Early CT Score (ASPECTS); the National Institutes of Health Stroke Scale (NIHSS) score; occluded artery; treatment methods; date of the initiation of apixaban administration and outcome were recorded. Multivariate analyses were performed after univariate analysis. RESULTS The median start of apixaban administration after the stroke was 2 days (interquartile range, 1-5; range, 0-14). Multivariate analysis of variance showed that non-internal carotid artery occlusion (F value 4.60), reperfusion therapy (31.1), high ASPECTS (6.27) before anticoagulant intake, and absence of intracranial hemorrhage (12.9) were significantly correlated with early apixaban administration. Multiple logistic regression analysis for independent living at 90 days after the stroke showed significant factors: aging (odds, 0.94; 95% confidence interval [CI], 0.91-0.97); male (odds, 0.46; 95% CI, 0.26-0.79); prestroke independence (odds, 20.7; 95% CI, 6.48-93.9); number of white blood cells (odds, 0.99; 95% CI, 0.97-1.00); non-internal carotid artery occlusion; NIHSS score at 72 hours after the stroke (odds 0.92; 95% CI, 0.89-0.96); ASPECTS before apixaban intake (odds, 1.15; 95% CI, 1.00-1.31) and initiation of apixaban (odds, 0.91; 95% CI, 0.83-0.99). CONCLUSIONS Early administration of apixaban is induced by nonsevere infarction, reperfusion therapy or none of intracranial hemorrhage and it correlates with an independent long-term outcome.
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Affiliation(s)
- Norihito Shimamura
- Department of Neurosurgery, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
| | - Masato Naraoka
- Department of Neurosurgery, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Kazutaka Uchida
- Department of Neurosurgery, Hyogo College of Medicine, Nishinomiya, Japan; Department of Clinical Epidemiology, Hyogo College of Medicine, Nishinomiya, Japan
| | - Kou Tokuda
- Department of Neurosurgery, Nishinomiya Kyoritsu Hospital, Nishinomiya, Japan
| | - Nobuyuki Sakai
- Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Hirotoshi Imamura
- Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Hiroshi Yamagami
- Division of Stroke Care Unit, National Cerebral and Cardiovascular Center, Suita, Japan; Department of Stroke Neurology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Kanta Tanaka
- Division of Stroke Care Unit, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Masayuki Ezura
- Department of Neurosurgery, National Hospital Organization Sendai Medical Center, Sendai, Japan
| | - Tadashi Nonaka
- Department of Neurosurgery, Sapporo Shiroishi Memorial Hospital, Sapporo, Japan
| | - Yasushi Matsumoto
- Department of Neuroendovascular Therapy, Kohnan Hospital, Miyagi, Japan
| | | | - Hajime Ohta
- Department of Neurosurgery, Division of Clinical Neuroscience, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Masafumi Morimoto
- Department of Neurosurgery, Yokohama Shintoshi Neurosurgical Hospital, Yokohama, Japan
| | - Norihito Fukawa
- Department of Neurosurgery, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan
| | - Taketo Hatano
- Department of Neurosurgery, Kokura Memorial Hospital, Fukuoka, Japan
| | - Yukiko Enomoto
- Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu, Japan
| | | | - Takahiro Ota
- Department of Neurosurgery, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | | | - Naoto Kimura
- Department of Neurosurgery, Iwate Prefectural Central Hospital, Morioka, Japan
| | - Yuki Kamiya
- Department of Neurology, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Takeshi Morimoto
- Department of Clinical Epidemiology, Hyogo College of Medicine, Nishinomiya, Japan
| | - Shinichi Yoshimura
- Department of Neurosurgery, Hyogo College of Medicine, Nishinomiya, Japan
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Li W, Hou M, Ding Z, Liu X, Shao Y, Li X. Prognostic Value of Neutrophil-to-Lymphocyte Ratio in Stroke: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:686983. [PMID: 34630275 PMCID: PMC8497704 DOI: 10.3389/fneur.2021.686983] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 08/23/2021] [Indexed: 01/17/2023] Open
Abstract
Background: Stroke has become a major problem around the world, which is one of the main causes of long-term disability. Therefore, it is important to seek a biomarker to predict the prognosis of patients with stroke. This meta-analysis aims to clarify the relationship between the neutrophil-to-lymphocyte ratio (NLR) and the prognosis of stroke patients. Methods: This study was pre-registered in PROSPERO (CRD42020186544). We performed systematic research in PubMed, Web of Science, and EMBASE databases for studies investigating the prognostic value of NLR. Based on the enrolled studies, patients were divided into the low-NLR cohort and the high-NLR cohort. Odds ratios (ORs) with 95% confidence intervals (CIs) were extracted and analyzed by the Review Manager 5.3 and Stata 12.0 software. Heterogeneity was estimated by using Cochran's Q test and I2 value. Sensitivity analyses and subgroup analyses were also performed to explore the potential sources of heterogeneity. Publication bias was assessed with funnel plots and assessed by Egger's tests. Results: Forty-one studies with 27,124 patients were included. In the overall analysis, elevated NLR was associated with an increased mortality in acute ischemic stroke (AIS) patients (OR = 1.12, 95% CI = 1.07–1.16) and in acute hemorrhagic stroke (AHS) patients (OR = 1.23, 95% CI = 1.09–1.39), poorer outcomes in AIS patients (OR = 1.29, 95% CI = 1.16–1.44), and in AHS patients (OR = 1.11, 95% CI = 1.03–1.20). While in terms of hemorrhagic transformation (HT), elevated NLR was associated with an increased incidence of HT in AIS patients (OR = 1.15, 95% CI = 1.08–1.23). Conclusions: This study demonstrated that elevated NLR was significantly associated with poor prognosis of stroke patients. High NLR is associated with a 1.1- to 1.3-fold increased risk of poor outcomes of AIS/AHS patients. NLR could be helpful as a potential prognostic biomarker to guide clinical decision making. Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020186544.
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Affiliation(s)
- Wenxia Li
- Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Miaomiao Hou
- Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhibin Ding
- Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaolei Liu
- Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Yuan Shao
- Shanxi Medical University, Taiyuan, China
| | - Xinyi Li
- Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.,Shanxi Medical University, Taiyuan, China
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14
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Gao B, Pan W, Hu X, Huang H, Ren J, Yang C, Zhou X, Zeng T, Hu J, Li S, Gao Y, Zhang S, Chen G. Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis. Front Physiol 2021; 12:670323. [PMID: 34276399 PMCID: PMC8283126 DOI: 10.3389/fphys.2021.670323] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 05/26/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Purpose Mounting researches have illuminated that the neutrophil-related ratios were related to the prognosis of acute ischemic stroke (AIS). However, few have compared their predictive value and accuracy. To make such comparison and identify the best indicator on the 90-day outcome, we investigated biomarkers including neutrophil ratio (Nr), neutrophil count (Nc), lymphocyte (L), neutrophil-to-lymphocyte ratio (NLR), platelet (P or PLT), platelet-to-neutrophil ratio (PNR), NLR-to-platelet ratio (NLR/PLT), eosinophil (E), neutrophil-to-eosinophil ratio (NER), monocyte (M), and monocyte-to-neutrophil ratio (MNR). Methods This retrospective study recruited 283 AIS and 872 healthy controls (HCs) receiving intravenous thrombolysis (IVT). Blood samples were collected after 24 h of admission before IVT. Propensity Score Matching (PSM) was used to explore whether these ratios differentiated AIS and HCs. We applied univariate and multivariate analyses to evaluate the prediction effect of these ratios separately or added in the model and figured out a clinical prediction model. To estimate the discrimination and calibration of the new models, the receiver operating characteristics (ROC) curve analysis, DeLong method, and likelihood ratio test (LR test) were utilized. Results PSM showed that Nr, Nc, NLR, P, PNR, NLR/PLT, NER, and MNR facilitates the differentiation of the HCs and AIS. Among the eight biomarkers, PNR and MNR could differentiate the 90-day outcome, and it was found out that PNR performed better. Univariate regression analysis demonstrated that PNR was the only independent predictor which needs no adjustment. Besides, the multivariate regression analysis, Delong method, and LR test indicated that among the neutrophil-related ratios, NLR, PNR, NLR/PLT, NER, and MNR exerted little influence on the discrimination but could enhance the calibration of the base model, and NER proved to work best. Conclusion Low PNR was the best indicator among the neutrophil-related ratios tin predicting a poor 90-day outcome of AIS patients. Moreover, high NER performed best when predicting the 90-day outcome to improve the calibration of the base model.
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Affiliation(s)
- Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wenjing Pan
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xueting Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Junli Ren
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xinbo Zhou
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shengqi Li
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yufan Gao
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shunkai Zhang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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Prevention of Non-Cardiogenic Ischemic Stroke: Towards Personalized Stroke Care. Stroke 2021. [DOI: 10.36255/exonpublications.stroke.personalizedcare.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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