Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
China National Clinical Research Center for Neurological Diseases, Beijing, China.
Brain Behav. 2023 Mar;13(3):e2911. doi: 10.1002/brb3.2911. Epub 2023 Feb 7.
Resting metabolic rate (RMR) could represent metabolic health status. This study aims to examine the association of the predicted RMR with 1-year poor functional outcome and all-cause mortality in patients with ischemic stroke as a proxy of metabolic profile.
A total of 15,166 patients with ischemic stroke or transient ischemic attack (TIA) from the Third China National Stroke Registry (CNSR-III) were enrolled in this study. The Harris-Benedict equation based on sex, age, weight, and height was used to predict RMR. The primary endpoints were poor functional outcome defined as ≥3 modified Rankin Scale (mRS) score and all-cause mortality within 1 year. The association between predicted RMR and prognosis was assessed by multivariable regression analysis. Besides that, subgroup analysis of age, sex, and body mass index (BMI) with predicted RMR was also performed.
12.85% (1657) individuals had poor functional outcome and 2.87% (380) died of whatever causes within 1 year. An inverse association was found between predicted RMR with poor functional outcome and all-cause mortality. Compared to the lowest quartile, the highest quartile was significantly associated with lower risk of poor functional outcome (adjusted odds ratio [OR], 0.43 [95% confidence interval (CI) 0.33-0.56]) and all-cause mortality (adjusted hazard ratio [HR], 0.44 [95% CI 0.28-0.71]). No significant interaction was between predicted RMR and specified subgroup.
Predicted RMR by the Harris-Benedict equation seems to be an independent protective predictor of poor functional outcome and all-cause mortality after ischemic stroke as a metabolic proxy.
静息代谢率（RMR）可以代表代谢健康状况。本研究旨在探讨预测 RMR 与缺血性卒中患者 1 年不良功能结局和全因死亡率的关系，以代谢特征为代表。
本研究共纳入来自第三次中国国家卒中登记研究（CNSR-III）的 15166 例缺血性卒中和短暂性脑缺血发作（TIA）患者。采用基于性别、年龄、体重和身高的 Harris-Benedict 方程预测 RMR。主要终点为 1 年内≥3 分改良 Rankin 量表（mRS）评分的不良功能结局和全因死亡率。采用多变量回归分析评估预测 RMR 与预后的关系。此外，还对预测 RMR 的年龄、性别和体重指数（BMI）亚组进行了分析。
12.85%（1657 例）患者 1 年内功能不良结局，2.87%（380 例）患者死于任何原因。预测 RMR 与不良功能结局和全因死亡率呈负相关。与最低四分位相比，最高四分位与不良功能结局风险降低显著相关（调整后的优势比[OR]，0.43[95%置信区间（CI），0.33-0.56]）和全因死亡率（调整后的危险比[HR]，0.44[95% CI 0.28-0.71]）。预测 RMR 与指定亚组之间无显著交互作用。
Harris-Benedict 方程预测的 RMR 似乎是缺血性卒中后不良功能结局和全因死亡率的独立保护预测因子，可作为代谢特征的代表。
