{"title":"[血清尿素氮与白蛋白比值对急性缺血性脑卒中患者全因死亡率的预测价值]。","authors":"Y Sun, Z B Shi, X Tian, A X Wang, X S Han","doi":"10.3760/cma.j.cn112137-20250521-01238","DOIUrl":null,"url":null,"abstract":"<p><p>Data from the third Chinese National Stroke Registry (from August 2015 to March 2018) was analyzed, focusing on patients with acute ischemic stroke (AIS). Participants were divided into quartiles (<i>Q</i><sub>1</sub>-<i>Q</i><sub>4</sub>) based on their serum blood urea nitrogen to albumin ratio (BAR) and tracked for one year. The study included 4 635 AIS patients with a median age of 63(54,70) years. Males constituted 68.78% (<i>n</i>=3 188) of the study population. The median National Institutes of Health Stroke Scale (NIHSS) score was 3(2,6). During the follow-up, 172 deaths occurred, with a mortality rate of 1.73%, 2.24%, 3.62%, and 7.25% in <i>Q</i><sub>1</sub>-<i>Q</i><sub>4</sub>, respectively. Multivariable Cox regression showed a 2.35 times higher mortality risk in the <i>Q</i><sub>4</sub> group compared to the <i>Q</i><sub>1</sub> group (<i>HR</i>=2.35, 95%<i>CI</i>: 1.41-3.92). The multivariable RCS analysis found no nonlinear link between BAR and all-cause mortality (<i>P</i>=0.139). ROC analysis showed a 1-year mortality prediction AUC of 0.667(95%<i>CI</i>:0.624-0.711) for BAR, with a cut-off of 4.103 mg/g, sensitivity of 71.4%, and specificity of 55.8%. When combined BAR with traditional risk factors, the AUC for predicting one-year mortality increased to 0.764 (95%<i>CI</i>: 0.727-0.801). BAR may be linked to one-year mortality in AIS patients, suggesting its potential for risk prediction and stratification.</p>","PeriodicalId":24023,"journal":{"name":"Zhonghua yi xue za zhi","volume":"105 37","pages":"3332-3336"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Predictive value of seram urea nitrogen to albumin ratio for all-cause mortality in patients with acute ischemic stroke].\",\"authors\":\"Y Sun, Z B Shi, X Tian, A X Wang, X S Han\",\"doi\":\"10.3760/cma.j.cn112137-20250521-01238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Data from the third Chinese National Stroke Registry (from August 2015 to March 2018) was analyzed, focusing on patients with acute ischemic stroke (AIS). Participants were divided into quartiles (<i>Q</i><sub>1</sub>-<i>Q</i><sub>4</sub>) based on their serum blood urea nitrogen to albumin ratio (BAR) and tracked for one year. The study included 4 635 AIS patients with a median age of 63(54,70) years. Males constituted 68.78% (<i>n</i>=3 188) of the study population. The median National Institutes of Health Stroke Scale (NIHSS) score was 3(2,6). During the follow-up, 172 deaths occurred, with a mortality rate of 1.73%, 2.24%, 3.62%, and 7.25% in <i>Q</i><sub>1</sub>-<i>Q</i><sub>4</sub>, respectively. Multivariable Cox regression showed a 2.35 times higher mortality risk in the <i>Q</i><sub>4</sub> group compared to the <i>Q</i><sub>1</sub> group (<i>HR</i>=2.35, 95%<i>CI</i>: 1.41-3.92). The multivariable RCS analysis found no nonlinear link between BAR and all-cause mortality (<i>P</i>=0.139). ROC analysis showed a 1-year mortality prediction AUC of 0.667(95%<i>CI</i>:0.624-0.711) for BAR, with a cut-off of 4.103 mg/g, sensitivity of 71.4%, and specificity of 55.8%. When combined BAR with traditional risk factors, the AUC for predicting one-year mortality increased to 0.764 (95%<i>CI</i>: 0.727-0.801). BAR may be linked to one-year mortality in AIS patients, suggesting its potential for risk prediction and stratification.</p>\",\"PeriodicalId\":24023,\"journal\":{\"name\":\"Zhonghua yi xue za zhi\",\"volume\":\"105 37\",\"pages\":\"3332-3336\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zhonghua yi xue za zhi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3760/cma.j.cn112137-20250521-01238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zhonghua yi xue za zhi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112137-20250521-01238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
[Predictive value of seram urea nitrogen to albumin ratio for all-cause mortality in patients with acute ischemic stroke].
Data from the third Chinese National Stroke Registry (from August 2015 to March 2018) was analyzed, focusing on patients with acute ischemic stroke (AIS). Participants were divided into quartiles (Q1-Q4) based on their serum blood urea nitrogen to albumin ratio (BAR) and tracked for one year. The study included 4 635 AIS patients with a median age of 63(54,70) years. Males constituted 68.78% (n=3 188) of the study population. The median National Institutes of Health Stroke Scale (NIHSS) score was 3(2,6). During the follow-up, 172 deaths occurred, with a mortality rate of 1.73%, 2.24%, 3.62%, and 7.25% in Q1-Q4, respectively. Multivariable Cox regression showed a 2.35 times higher mortality risk in the Q4 group compared to the Q1 group (HR=2.35, 95%CI: 1.41-3.92). The multivariable RCS analysis found no nonlinear link between BAR and all-cause mortality (P=0.139). ROC analysis showed a 1-year mortality prediction AUC of 0.667(95%CI:0.624-0.711) for BAR, with a cut-off of 4.103 mg/g, sensitivity of 71.4%, and specificity of 55.8%. When combined BAR with traditional risk factors, the AUC for predicting one-year mortality increased to 0.764 (95%CI: 0.727-0.801). BAR may be linked to one-year mortality in AIS patients, suggesting its potential for risk prediction and stratification.