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Ma S, Fan W, Zhang J. Network pharmacology study on the potential effect mechanism of Chuanzhi Tongluo Capsule in the treatment of cerebral infarction. Medicine (Baltimore) 2022; 101:e30916. [PMID: 36254030 PMCID: PMC9575740 DOI: 10.1097/md.0000000000030916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Chuanxiong Tongluo capsules have been widely used to treat recovered stroke and cerebral infarction, but their specific therapeutic mechanism is not well understood. METHODS This study aims to investigate the mechanism of action for Chuanzhi Tongluo capsule on cerebral infarction based on a network pharmacology approach. The TCMSP platform collected the chemical composition of Chuanzhi Tongluo capsules. Its potential targets were predicted by Swiss target prediction and standardized using the Uniprot database for gene normalization. Meanwhile, the OMIM, Genecards, and TTD databases were used to obtain the targets related to cerebral infarction. The standard targets of Chuanzhi Tongluo capsule and cerebral infarction were uploaded to the STRING database to construct protein-protein interaction networks. Topological methods analyzed the key targets and components in the drug-component-disease-target network. Gene ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of the shared targets were performed using the DAVID database. RESULTS A total of 105 active ingredients and 427 targets were associated with Chuanzhi Tongluo capsule, and there were 3055 targets related to cerebral infarction disease and 240 common targets between the two keywords. The key targets included INS, ALB, IL-6, VEGFA, TNF, and TP53. The conduction pathways involved include the calcium signaling pathway, cAMP signaling pathway, cGMP-PKG signaling pathway, and TNF signaling pathway. CONCLUSION The active ingredients in Chuanzhi Tongluo capsule may participate in the therapeutic process of cerebral infarction by regulating the calcium, cAMP, cGMP-PKG, and TNF signaling pathway through critical targets such as INS, ALB, IL-6, VEGFA, TNF, and TP53.
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Affiliation(s)
- Shan Ma
- Department of Traditional Chinese Medicine, the Second Hospital of Shandong University, Jinan, China
| | - Wenhui Fan
- Department of Traditional Chinese Medicine, the Second Hospital of Shandong University, Jinan, China
| | - Jianxin Zhang
- Department of Traditional Chinese Medicine, the Second Hospital of Shandong University, Jinan, China
- *Correspondence: Jianxin Zhang, Department of Traditional Chinese Medicine, the Second Hospital of Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, Shandong 250014, China (e-mail: )
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Yang D, Shen J, Huang H, Wang J, Sun F, Zeng T, Qiu H, Xie H, Chen Y, Li S, Chen Y, Chen G, Weng Y. Elevated Albumin to Globulin Ratio on Day 7 is Associated with Improved Function Outcomes in Acute Ischemic Stroke Patients with Intravenous Thrombolysis. J Inflamm Res 2022; 15:2695-2705. [PMID: 35505797 PMCID: PMC9057231 DOI: 10.2147/jir.s347026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 03/29/2022] [Indexed: 12/28/2022] Open
Abstract
Background and Purpose Albumin to globulin ratio (A/G) has been established as a representative biomarker for assessing inflammation and nutritional status. However, the prognostic value of A/G has rarely been reported in acute ischemic stroke (AIS) patients with intravenous thrombolysis (IVT). Methods A total of 311 AIS patients who had undergone IVT and completed 3-month follow-up were retrospectively recruited in this study. Albumin (Alb), globulin (Glb) and A/G on admission, within 24 hours after IVT and on day 7 were recorded. Poor outcome was defined as death or major disability (modified Rankin Scale, 3–6) at 3 months. Results Among the 311 cases, 260 patients had admission blood samples, 296 cases had blood samples within 24 hours after IVT and 126 cases had blood samples on day 7. The patients with and without available blood samples were well-balanced. During the first 24 h, we observed A/G to increase significantly compared with baseline whereas at day 7 it was almost back to baseline in patients with a poor outcome. Receiver operating characteristic (ROC) curves analysis showed that A/G had a better performance in discriminating patients at high risk and low risk of a poor outcome than either Alb or Glb alone and carried the highest predictive ability on day 7 (AUC = 0.807). Lower 7-day A/G was independently associated with a poor outcome (per-SD increase, OR = 0.182, 95% CI: 0.074–0.446). Conclusion A/G is an important prognostic indicator for AIS outcomes and merits dynamic monitoring.
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Affiliation(s)
- Dehao Yang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Correspondence: Dehao Yang, Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, People’s Republic of China, Email ; Yiyun Weng, Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People’s Republic of China, Email
| | - Jiamin Shen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Jianing Wang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Fangyue Sun
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Haojie Qiu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the Second Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Haobo Xie
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Yilin Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Shengqi Li
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Yiqun Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
- School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Yiyun Weng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
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Zhao J, Liu K, Li S, Gao Y, Zhao L, Liu H, Fang H, Wu J, Sun S, Li Y, Song B, Xu Y. Prognostic nutritional index predicts clinical outcomes in patients with cerebral venous sinus thrombosis. BMC Neurol 2021; 21:404. [PMID: 34674659 PMCID: PMC8529735 DOI: 10.1186/s12883-021-02436-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 10/05/2021] [Indexed: 11/29/2022] Open
Abstract
Background Lower prognostic nutritional index (PNI) is related to the poor prognosis of cardiovascular diseases. However, little is known about PNI and its relationship with the prognosis of cerebral venous sinus thrombosis (CVST). Methods CVST patients were retrospectively identified from January 2013 till June 2019. Patients in the acute / subacute phase were selected as subjects. Poor prognosis was defined as a modified Rankin Scale (mRS) of 3–6. Multivariate logistic regression analysis was used to confirm if lower PNI was associated with a poor prognosis. Results A total of 297 subjects with follow-up data were enrolled. Thirty-three (11.1%) had a poor outcome. Multivariate logistic regression analysis suggested that PNI was an important predictive factor of poor outcome in acute/subacute CVST (odds ratio, 0.903; 95% CI, 0.833–0.978; P = 0.012). The optimal cut-off value for predicting the poor prognosis of PNI was 44.2. Kaplan-Meier analysis and log-rank test suggested that the lower the PNI value, the higher the mortality rate (P < 0.001). In addition, the nomogram that was set up showed that lower PNI was an index of poor prognosis. The c-index for acute/subacute patients with CVST was 0.872. Conclusion Lower PNI is correlated with a higher risk of adverse clinical outcomes in patients with acute/subacute CVST. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02436-w.
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Affiliation(s)
- Jiawei Zhao
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Kai Liu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Shen Li
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yuan Gao
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Lu Zhao
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Hongbing Liu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Hui Fang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Jun Wu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Shilei Sun
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yusheng Li
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Bo Song
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
| | - Yuming Xu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, No.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
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Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1 year after ischemic stroke. Clin Exp Med 2021; 22:111-123. [PMID: 34120242 DOI: 10.1007/s10238-021-00732-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/04/2021] [Indexed: 01/02/2023]
Abstract
Some clinical, imaging, and laboratory biomarkers have been identified as predictors of prognosis of acute ischemic stroke (IS). The aim of this study was to evaluate the prognostic validity of a combination of clinical, imaging, and laboratory biomarkers in predicting 1-year mortality of IS. We evaluated 103 patients with IS within 24 h of their hospital admission and assessed demographic data, IS severity using the National Institutes of Health Stroke Scale (NIHSS), carotid intima-media thickness (cIMT), and degree of stenosis, as well as laboratory variables including immune-inflammatory, coagulation, and endothelial dysfunction biomarkers. The IS patients were categorized as survivors and non-survivors 1 year after admission. Non-survivors showed higher NIHSS and cIMT values, lower antithrombin, Protein C, platelet counts, and albumin, and higher Factor VIII, von Willebrand Factor (vWF), white blood cells, tumor necrosis factor (TNF)-α, interleukin (IL)-10, high-sensitivity C-reactive protein (hsCRP), and vascular cellular adhesion molecule 1 (VCAM-1) than survivors. Neural network models separated non-survivors from survivors using NIHSS, cIMT, age, IL-6, TNF-α, hsCRP, Protein C, Protein S, vWF, and platelet endothelial cell adhesion molecule 1 (PECAM-1) with an area under the receiving operating characteristics curve (AUC/ROC) of 0.975, cross-validated accuracy of 93.3%, sensitivity of 100% and specificity of 85.7%. In conclusion, imaging, immune-inflammatory, and coagulation biomarkers add predictive information to the NIHSS clinical score and these biomarkers in combination may act as predictors of 1-year mortality after IS. An early prediction of IS outcome is important for personalized therapeutic strategies that may improve the outcome of IS.
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Hu X, Li Y, Cheng P, Wu A, Li G. Serum Level of Transferrin Unique Peptide Is Decreased in Patients With Acute Ischemic Stroke. Front Neurol 2021; 12:619310. [PMID: 33633672 PMCID: PMC7901928 DOI: 10.3389/fneur.2021.619310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 01/15/2021] [Indexed: 12/18/2022] Open
Abstract
Objectives: Free irons are transported into brain tissues by transferrin and play an important role in neuronal/glial cell damage. Lower serum levels of transferrin have been found in patients with ischemic stroke, compared with healthy subjects. In present study, we investigated whether transferrin unique peptide (TF-UP) could be employed as a serum biomarker for brain tissue damage in acute ischemic stroke. Methods: The venous blood samples of 94 ischemic stroke patients and 35 brain tumor-stroke mimics (BT-SM) patients were collected within the first 72 h (Median time 23.25, Interquartile range 60.75) of acute onset in the emergency room. Total TF-UP and total albumin unique peptide (Alb-UP) were identified with liquid chromatography/mass spectrometry (LC-MS/MS) and quantified by multiple reaction monitoring (MRM) method using labeled reference peptide (LRP) for further analysis. Results: Median ratio of total TF-UP/LRP was 0.85 (Interquartile range, 0.21) in the brain tumor-stroke mimics (BT-SM) group, and 0.45 (0.14) in the ischemic stroke group; median Alb-UP/LRP ratio was 0.66 (0.16) in the BT-SM group, and 0.55 (0.20) in the ischemic stroke group. The overall trend from low to high levels was statistically significant for TF-UP/LRP (P < 0.0001), but not for Alb-UP/LRP (P = 0.1667). According to the receiver operating characteristic (ROC) curve, the area under the curve (AUC) was 0.9565 and the optimal cutoff value of serum TF-UP was 0.6317, which yielded a sensitivity of 91.49% and a specificity of 88.57%. The odds ratio (95% confidence intervals) of serum TF-UP/LRP was 83.31 (23.43, 296.22, P < 0.0001). Conclusions: Serum TF-UP/LRP level is decreased in patients with acute ischemic stroke in comparison with brain tumor, and it may serve as a serum biomarker for the neuronal/glial cell damage in cerebral infarction.
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Affiliation(s)
- Xizheng Hu
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Yinghui Li
- Department of Medical Genetics, School of Life Science, China Medical University, Shenyang, China
| | - Peng Cheng
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Anhua Wu
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Guangyu Li
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
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Brown SJ, Harrington GMB, Hulme CH, Morris R, Bennett A, Tsang WH, Osman A, Chowdhury J, Kumar N, Wright KT. A Preliminary Cohort Study Assessing Routine Blood Analyte Levels and Neurological Outcome after Spinal Cord Injury. J Neurotrauma 2019; 37:466-480. [PMID: 31310157 PMCID: PMC6978787 DOI: 10.1089/neu.2019.6495] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
There is increasing interest in the identification of biomarkers that could predict neurological outcome following a spinal cord injury (SCI). Although initial American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade is a good indicator of neurological outcome, for the patient and clinicians, an element of uncertainty remains. This preliminary study aimed to assess the additive potential of routine blood analytes following principal component analysis (PCA) to develop prognostic models for neurological outcome following SCI. Routine blood and clinical data were collected from SCI patients (n = 82) and PCA used to reduce the number of blood analytes into related factors. Outcome neurology was obtained from AIS scores at 3 and 12 months post-injury, with motor (AIS and total including all myotomes) and sensory (AIS, touch and pain) abilities being assessed individually. Multiple regression models were created for all outcome measures. Blood analytes relating to “liver function” and “acute inflammation and liver function” factors were found to significantly increase prediction of neurological outcome at both 3 months (touch, pain, and AIS sensory) and at 1 year (pain, R2 increased by 0.025 and total motor, R2 increased by 0.016). For some models “liver function” and “acute inflammation and liver function” factors were both significantly predictive, with the greatest combined R2 improvement of 0.043 occurring for 3 month pain prediction. These preliminary findings support ongoing research into the use of routine blood analytes in the prediction of neurological outcome in SCI patients.
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Affiliation(s)
- Sharon J Brown
- Institute of Science and Technology in Medicine (ISTM), Keele University, Keele, United Kingdom.,Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Gabriel M B Harrington
- Institute of Science and Technology in Medicine (ISTM), Keele University, Keele, United Kingdom.,Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Charlotte H Hulme
- Institute of Science and Technology in Medicine (ISTM), Keele University, Keele, United Kingdom.,Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Rachel Morris
- Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Anna Bennett
- Life Sciences, University of Chester, Chester, Cheshire, United Kingdom
| | - Wai-Hung Tsang
- Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Aheed Osman
- Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Joy Chowdhury
- Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Naveen Kumar
- Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
| | - Karina T Wright
- Institute of Science and Technology in Medicine (ISTM), Keele University, Keele, United Kingdom.,Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, Shropshire, United Kingdom
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Gao Q, Yuan F, Yang XA, Zhu JW, Song L, Bi LJ, Jiao ZY, Kang XG, Yang F, Jiang W. Development and validation of a new score for predicting functional outcome of neurocritically ill patients: The INCNS score. CNS Neurosci Ther 2019; 26:21-29. [PMID: 30968580 PMCID: PMC6930816 DOI: 10.1111/cns.13134] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 03/16/2019] [Accepted: 03/20/2019] [Indexed: 11/29/2022] Open
Abstract
Aims To develop and validate a novel score for prediction of 3‐month functional outcome in neurocritically ill patients. Methods The development of the novel score was based on two widely used scores for general critical illnesses (Acute Physiology and Chronic Health Evaluation II, APACHE II; Simplified Acute Physiology Score II, SAPS II) and consideration of the characteristics of neurocritical illness. Data from consecutive patients admitted to neurological ICU (N‐ICU) between January 2013 and June 2016 were used for the validation. The modified Rankin Scale (mRS) was used to evaluate 3‐month functional outcomes. APACHE II scores, SAPS II scores, and our novel scores at 24 hours and 72 hours in N‐ICU were obtained. We compared the prognostic performance of our score with APACHE II and SAPS II. Results We developed a 44‐point scoring system named the INCNS score, and it includes 19 items which were categorized into five parts: inflammation (I), nutrition (N), consciousness (C), neurological function (N), and systemic function (S). We validated the INCNS score with a cohort of 941 N‐ICU patients. The 72‐hours INCNS score achieved an area under the receiver operating characteristic curve (AUC) of 0.828 (95% CI: 0.802‐0.854), and the 24‐hours INCNS score achieved an AUC of 0.788 (95% CI: 0.759‐0.817). The INCNS score exhibited significantly better discriminative and prognostic performance than APACHE II and SAPS II at both 24 hours and 72 hours in N‐ICU. Conclusion We developed an INCNS score with superior predictive power for functional outcome of neurocritically ill patients.
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Affiliation(s)
- Qiong Gao
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Fang Yuan
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xi-Ai Yang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Ji-Wen Zhu
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Lu Song
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Li-Jie Bi
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Ze-Yu Jiao
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xiao-Gang Kang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Fang Yang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Wen Jiang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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Affiliation(s)
- Yongli He
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiyou Cai
- Department of Neurology, Chongqing General Hospital, Chongqing, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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