Yan Wan, Hongxiu Guo, Shaoli Chen, Jiang Chang, David Wang, Rentang Bi, Man Li, Ke Shi, Zhaowei Wang, Daokai Gong, Jingwen Xu, Quanwei He, Bo Hu
{"title":"建议评分:基于损伤和脑出血反应的可靠分级量表。","authors":"Yan Wan, Hongxiu Guo, Shaoli Chen, Jiang Chang, David Wang, Rentang Bi, Man Li, Ke Shi, Zhaowei Wang, Daokai Gong, Jingwen Xu, Quanwei He, Bo Hu","doi":"10.1136/svn-2022-001707","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Intracerebral haemorrhage (ICH) is the most devastating form of stroke causing high morbidity and mortality. We aimed to develop a novel clinical score incorporating multisystem markers to predict functional dependence at 90 days after ICH.</p><p><strong>Methods: </strong>We analysed data from Chinese Cerebral Hemorrhage: Mechanism and Intervention study. Multivariable logistic regression analysis was used to identify the factors associated with 90-day functional dependency (the modified Rankin Scale ≥3) after ICH and develop the ADVISING scoring system. To test the scoring system, a total of 2111 patients from Hubei province were included as the training cohort, and 733 patients from other three provinces in China were included as an external validation cohort.</p><p><strong>Results: </strong>We found nine variables to be significantly associated with functional dependency and included in the ADVISING score system: age, deep location of haematoma, volume of haematoma, National Institutes of Health Stroke Scale, aspartate transaminase, international normalised ratio, neutrophil-lymphocyte ratio, fasting blood glucose and glomerular filtration rate. Individuals were divided into 12 different categories by using these nine potential predictors. The proportion of patients who were functionally dependent increased with higher ADVISING scores, which showed good discrimination and calibration in both the training cohort (C-statistic, 0.866; p value of Hosmer-Lemeshow test, 0.195) and validation cohort (C-statistic, 0.884; p value of Hosmer-Lemeshow test, 0.853). The ADVISING score also showed better discriminative performance compared with the other five existing ICH scores (p<0.001).</p><p><strong>Conclusions: </strong>ADVISING score is a reliable tool to predict functional dependency at 90 days after ICH.</p>","PeriodicalId":22021,"journal":{"name":"Stroke and Vascular Neurology","volume":"8 2","pages":"111-118"},"PeriodicalIF":4.4000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/29/d8/svn-2022-001707.PMC10176996.pdf","citationCount":"1","resultStr":"{\"title\":\"ADVISING score: a reliable grading scale based on injury and response for intracerebral haemorrhage.\",\"authors\":\"Yan Wan, Hongxiu Guo, Shaoli Chen, Jiang Chang, David Wang, Rentang Bi, Man Li, Ke Shi, Zhaowei Wang, Daokai Gong, Jingwen Xu, Quanwei He, Bo Hu\",\"doi\":\"10.1136/svn-2022-001707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Intracerebral haemorrhage (ICH) is the most devastating form of stroke causing high morbidity and mortality. We aimed to develop a novel clinical score incorporating multisystem markers to predict functional dependence at 90 days after ICH.</p><p><strong>Methods: </strong>We analysed data from Chinese Cerebral Hemorrhage: Mechanism and Intervention study. Multivariable logistic regression analysis was used to identify the factors associated with 90-day functional dependency (the modified Rankin Scale ≥3) after ICH and develop the ADVISING scoring system. To test the scoring system, a total of 2111 patients from Hubei province were included as the training cohort, and 733 patients from other three provinces in China were included as an external validation cohort.</p><p><strong>Results: </strong>We found nine variables to be significantly associated with functional dependency and included in the ADVISING score system: age, deep location of haematoma, volume of haematoma, National Institutes of Health Stroke Scale, aspartate transaminase, international normalised ratio, neutrophil-lymphocyte ratio, fasting blood glucose and glomerular filtration rate. Individuals were divided into 12 different categories by using these nine potential predictors. The proportion of patients who were functionally dependent increased with higher ADVISING scores, which showed good discrimination and calibration in both the training cohort (C-statistic, 0.866; p value of Hosmer-Lemeshow test, 0.195) and validation cohort (C-statistic, 0.884; p value of Hosmer-Lemeshow test, 0.853). The ADVISING score also showed better discriminative performance compared with the other five existing ICH scores (p<0.001).</p><p><strong>Conclusions: </strong>ADVISING score is a reliable tool to predict functional dependency at 90 days after ICH.</p>\",\"PeriodicalId\":22021,\"journal\":{\"name\":\"Stroke and Vascular Neurology\",\"volume\":\"8 2\",\"pages\":\"111-118\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/29/d8/svn-2022-001707.PMC10176996.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stroke and Vascular Neurology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/svn-2022-001707\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stroke and Vascular Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/svn-2022-001707","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
ADVISING score: a reliable grading scale based on injury and response for intracerebral haemorrhage.
Background: Intracerebral haemorrhage (ICH) is the most devastating form of stroke causing high morbidity and mortality. We aimed to develop a novel clinical score incorporating multisystem markers to predict functional dependence at 90 days after ICH.
Methods: We analysed data from Chinese Cerebral Hemorrhage: Mechanism and Intervention study. Multivariable logistic regression analysis was used to identify the factors associated with 90-day functional dependency (the modified Rankin Scale ≥3) after ICH and develop the ADVISING scoring system. To test the scoring system, a total of 2111 patients from Hubei province were included as the training cohort, and 733 patients from other three provinces in China were included as an external validation cohort.
Results: We found nine variables to be significantly associated with functional dependency and included in the ADVISING score system: age, deep location of haematoma, volume of haematoma, National Institutes of Health Stroke Scale, aspartate transaminase, international normalised ratio, neutrophil-lymphocyte ratio, fasting blood glucose and glomerular filtration rate. Individuals were divided into 12 different categories by using these nine potential predictors. The proportion of patients who were functionally dependent increased with higher ADVISING scores, which showed good discrimination and calibration in both the training cohort (C-statistic, 0.866; p value of Hosmer-Lemeshow test, 0.195) and validation cohort (C-statistic, 0.884; p value of Hosmer-Lemeshow test, 0.853). The ADVISING score also showed better discriminative performance compared with the other five existing ICH scores (p<0.001).
Conclusions: ADVISING score is a reliable tool to predict functional dependency at 90 days after ICH.
期刊介绍:
Stroke and Vascular Neurology (SVN) is the official journal of the Chinese Stroke Association. Supported by a team of renowned Editors, and fully Open Access, the journal encourages debate on controversial techniques, issues on health policy and social medicine.