国家神经系统疾病临床医学研究中心数据管理与共享系统

发表杂志：Journal of Stroke and Cerebrovascular Diseases

发表类型: Original Contributions

影响因子(IF): 2

PMID: 39321945 Pubmed原文链接 全文下载

The C-reactive protein-to-albumin ratio (CAR) is a novel prognostic biomarker of systemic inflammation and nutritional status. The association between CAR and the long-term outcome of spontaneous intracerebral hemorrhage (ICH) remains unclear.

Statistical analyses were performed using the SAS statistical software (version 9.4; SAS Institute, Cary, NC, USA). Participants were divided into Q1, Q2, Q3, and Q4 groups according to the quartile and median CAR levels. Continuous variables are expressed as medians (interquartile range, IQR) or means ± standard deviation (SD), and were compared by the Kruskal–Walli’s test. The chi-square test was used to compare categorical variables, which are expressed as numbers (proportions). Multivariate logistic regression was used to analyze the association between CAR levels and clinical outcomes, and the variables with p values < 0.1 from the comparison of baseline characteristics and selected variables were included in the multivariate analysis. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for each group using the first quartile (Q1) as a reference for the CAR. Using restricted cubic splines (RCS) with three knots placed at the 25th, 50th, and 75th percentiles as recommended, because of sparse data, we truncated the analysis at 0.4 (95% of distribution). Furthermore, we plotted the receiver operating characteristic (ROC) curves of CAR, hs-CRP, and albumin for poor clinical outcomes and calculated the area under the curve (AUC) and cutoff values. Results were considered significant at p < 0.05 (two sided).