External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China.
A case-mix adjustment model has been developed and externally validated, demonstrating promise. However, the model has not been thoroughly tested among populations in China. In our study, we evaluated the performance of the model in Chinese patients with acute stroke.The case-mix adjustment model A...
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2016-01-01
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doaj-9fa952bd80c1494591588c5bb5bab2822020-11-25T01:30:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011111e016606910.1371/journal.pone.0166069External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China.Ping YuYuesong PanYongjun WangXianwei WangLiping LiuRuijun JiXia MengJing JingXu TongLi GuoYilong WangA case-mix adjustment model has been developed and externally validated, demonstrating promise. However, the model has not been thoroughly tested among populations in China. In our study, we evaluated the performance of the model in Chinese patients with acute stroke.The case-mix adjustment model A includes items on age, presence of atrial fibrillation on admission, National Institutes of Health Stroke Severity Scale (NIHSS) score on admission, and stroke type. Model B is similar to Model A but includes only the consciousness component of the NIHSS score. Both model A and B were evaluated to predict 30-day mortality rates in 13,948 patients with acute stroke from the China National Stroke Registry. The discrimination of the models was quantified by c-statistic. Calibration was assessed using Pearson's correlation coefficient.The c-statistic of model A in our external validation cohort was 0.80 (95% confidence interval, 0.79-0.82), and the c-statistic of model B was 0.82 (95% confidence interval, 0.81-0.84). Excellent calibration was reported in the two models with Pearson's correlation coefficient (0.892 for model A, p<0.001; 0.927 for model B, p = 0.008).The case-mix adjustment model could be used to effectively predict 30-day mortality rates in Chinese patients with acute stroke.http://europepmc.org/articles/PMC5112888?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ping Yu Yuesong Pan Yongjun Wang Xianwei Wang Liping Liu Ruijun Ji Xia Meng Jing Jing Xu Tong Li Guo Yilong Wang |
spellingShingle |
Ping Yu Yuesong Pan Yongjun Wang Xianwei Wang Liping Liu Ruijun Ji Xia Meng Jing Jing Xu Tong Li Guo Yilong Wang External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China. PLoS ONE |
author_facet |
Ping Yu Yuesong Pan Yongjun Wang Xianwei Wang Liping Liu Ruijun Ji Xia Meng Jing Jing Xu Tong Li Guo Yilong Wang |
author_sort |
Ping Yu |
title |
External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China. |
title_short |
External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China. |
title_full |
External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China. |
title_fullStr |
External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China. |
title_full_unstemmed |
External Validation of a Case-Mix Adjustment Model for the Standardized Reporting of 30-Day Stroke Mortality Rates in China. |
title_sort |
external validation of a case-mix adjustment model for the standardized reporting of 30-day stroke mortality rates in china. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2016-01-01 |
description |
A case-mix adjustment model has been developed and externally validated, demonstrating promise. However, the model has not been thoroughly tested among populations in China. In our study, we evaluated the performance of the model in Chinese patients with acute stroke.The case-mix adjustment model A includes items on age, presence of atrial fibrillation on admission, National Institutes of Health Stroke Severity Scale (NIHSS) score on admission, and stroke type. Model B is similar to Model A but includes only the consciousness component of the NIHSS score. Both model A and B were evaluated to predict 30-day mortality rates in 13,948 patients with acute stroke from the China National Stroke Registry. The discrimination of the models was quantified by c-statistic. Calibration was assessed using Pearson's correlation coefficient.The c-statistic of model A in our external validation cohort was 0.80 (95% confidence interval, 0.79-0.82), and the c-statistic of model B was 0.82 (95% confidence interval, 0.81-0.84). Excellent calibration was reported in the two models with Pearson's correlation coefficient (0.892 for model A, p<0.001; 0.927 for model B, p = 0.008).The case-mix adjustment model could be used to effectively predict 30-day mortality rates in Chinese patients with acute stroke. |
url |
http://europepmc.org/articles/PMC5112888?pdf=render |
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