Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
J Affect Disord. 2023 Aug 1;334:113-120. doi: 10.1016/j.jad.2023.04.104. Epub 2023 May 1.
Identifying high-risk patients based on modifiable clinical characteristics, such as malnutrition, is critical to intervening with these variables to reduce the risk of post-stroke depression (PSD). The aim of this study was to investigate the effect of nutritional status on the risk of incident PSD and the trajectory of PSD risk.
Consecutive patients with acute ischemic stroke were recruited in this observational cohort and followed up for 1 year. Multivariate logistic regressions and multilevel mixed-effects logistic regressions with random intercepts and slopes were used to investigate the effects of nutritional indexes [the Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Prognostic Nutritional Index (PNI)] and body mass index (BMI) on the risk of incident PSD and the trajectory of PSD risk over the 12-month observation period.
A total of 538 patients were included in the final analysis. Worsening CONUT [odds ratio (OR) = 1.36; confidence interval (CI): 1.15-1.61], NRI (OR = 0.91; CI: 0.87-0.96) and PNI (OR = 0.89; CI: 0.84-0.95) scores were significantly associated with an increased risk of incident PSD. Moderate and severe risk malnutrition statuses were associated with higher incidences of PSD regardless of the malnutrition index (CONUT, NRI or PNI). Additionally, PSD risk decreased over time with a significant two-way interaction between time and CONUT, NRI, and PNI, implying that patients with elevated exposure to malnutrition showed a slower decline in PSD risk. BMI had no significant effect on the occurrence and development of PSD.
Malnutrition, but not BMI, was associated with a higher probability of incident PSD and was more likely to lead to a slower rate of decline in PSD risk.
基于可改变的临床特征(如营养不良)识别高危患者对于干预这些变量以降低卒中后抑郁(PSD)风险至关重要。本研究旨在调查营养状况对 PSD 发病风险和 PSD 风险轨迹的影响。
本观察性队列研究连续招募急性缺血性卒中患者,并进行了 1 年的随访。采用多变量逻辑回归和具有随机截距和斜率的多级混合效应逻辑回归,以研究营养指标[控制营养状况(CONUT)评分、营养风险指数(NRI)和预后营养指数(PNI)]和体重指数(BMI)对 PSD 发病风险和 12 个月观察期内 PSD 风险轨迹的影响。
共纳入 538 例患者进行最终分析。CONUT 评分恶化(优势比(OR)=1.36;置信区间(CI):1.15-1.61)、NRI(OR=0.91;CI:0.87-0.96)和 PNI(OR=0.89;CI:0.84-0.95)评分升高与 PSD 发病风险增加显著相关。无论使用哪种营养不良指数(CONUT、NRI 或 PNI),中重度风险营养不良状态均与 PSD 发生率较高相关。此外,PSD 风险随时间下降,CONUT、NRI 和 PNI 之间存在显著的双向交互作用,这表明暴露于营养不良的患者 PSD 风险下降速度较慢。BMI 对 PSD 的发生发展无显著影响。
与 BMI 相比,营养不良与 PSD 发病风险的增加更为相关,并且更有可能导致 PSD 风险下降速度减慢。