Association between C-reactive protein/albumin ratio and all-cause mortality in patients with stroke: Evidence from NHANES cohort study

被引:0
|
作者
Yuan, Jinguo [1 ,2 ]
Cheng, Yawen [1 ]
Han, Xiangning [1 ]
Zhu, Ning [1 ]
Ma, Wenlong [1 ]
Li, Jiahao [1 ]
Jiang, Shiliang [1 ]
Zhao, Jin [2 ]
Liu, Fude [1 ]
机构
[1] Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Neurol, 277 Yanta West Rd, Xian 710061, Shaanxi, Peoples R China
[2] Fourth Mil Med Univ, Xijing Hosp, Dept Nephrol, 127 Changle West Rd, Xian 710032, Shaanxi, Peoples R China
关键词
Stroke; C-reactive protein to albumin ratio (CAR); All-cause mortality; Inflammation; Nutritional status; SERUM-ALBUMIN LEVELS; INFLAMMATION; INFECTION; PROTEIN;
D O I
10.1016/j.numecd.2024.05.024
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and aims: The inflammatory nutritional status is widely associated with the long-term prognosis of non-fatal stroke. The objective of this study is to examine the correlation between the C-reactive protein to albumin ratio (CAR), a new marker indicating both inflammatory and nutritional status, and the overall mortality rate among stroke patients. Methods and results: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database and corresponding public-use mortality data from the linked National Death Index (NDI). The study utilized maximally selected rank statistics to determine the optimal cutoff points for the CAR. Subsequently, participants were stratified into higherand lower-CAR groups based on these cutoff points. The Kaplan-Meier survival method was used to study overall survival probability. Multivariable Cox proportional regression models were employed to calculate the Hazard Ratio (HR) and corresponding confidence interval (CI). Restricted cubic spline (RCS) model was applied to detect potential non-linear relationship between CAR and mortality risk. Furthermore, stratified and sensitive analyses were performed to examine the robustness and reliability of the results. The study, encompassing 1043 participants with an average age of 64.61 years, identified a cutoff value of 0.32 for CAR, with notable variances observed across gender and age cohorts. Over an average follow-up period of 116 months, 679 instances of all-cause mortality were documented. Kaplan-Meier survival analysis unveiled noteworthy disparities in survival probabilities between groups categorized by high and low CAR levels (p = 0.00081). Continuous CAR analysis consistently demonstrated a positive correlation between elevated CAR values and heightened risk (HR = 1.78 (1.36, 2.33)) of all-cause mortality among stroke patients. Similarly, individuals in the high CAR group exhibited adjusted HR of 1.34 (0.96, 1.89) for all-cause mortality compared to their low CAR counterparts. Subgroup and sensitive analysis consistently reinforced these findings. Smoothing curve fitting further validated CAR's significance as a prognostic indicator of all-cause mortality, indicating a linear relationship. Conclusion: Elevated CAR is associated with increased long-term risk of mortality for individuals who have experienced a stroke, suggesting that CAR could serve as a survival indicator. (c) 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Ital- ian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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收藏
页码:2305 / 2314
页数:10
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