He Qingwei, Fan Xingman, Li Bowen, He Qiongyi, Cao Yukun, Zhang Haitao
The Fifth School of Clinical Medicine, Air Force Clinical Medical School, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
Department of Cardiology, Air Force Medical Center, Air Force Medical University, PLA, Beijing, 100142, People's Republic of China.
Clin Interv Aging. 2024 Dec 4;19:2043-2056. doi: 10.2147/CIA.S493726. eCollection 2024.
Several objective and comprehensive nutritional assessment methods have been used for predicting adverse outcomes in elderly patients with various diseases. However, their predictive value for long-term adverse outcomes in elderly patients with atrial fibrillation (AF) is unclear. This study aimed to explore the prognostic significance of the four nutritional indices, namely Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), and High-Sensitivity Modified Glasgow Prognostic Score (HS-mGPS), in evaluating the long-term prognosis in elderly patients with AF.
This retrospective study was conducted at a single center and included a total of 261 elderly patients with AF from December 2015 to December 2021. Patients were divided into all-cause death and survival groups based on the follow-up results. Kaplan-Meier analysis and COX regression were conducted to explore the relationship between all-cause mortality and nutritional scores. In addition, Receiver Operating Characteristic (ROC) curves were used to compare the predictive value of the four nutritional screening tools for the endpoint event.
During the follow-up period, 119 cases (45.59%) of all-cause mortality were recorded. The cumulative incidence of all-cause death was significantly higher in participants with a lower PNI, lower GNRI, higher CONUT, and higher HS-mGPS levels. And the low PNI (HR 1.325, 95% CI 1.032-2.857, P=0.025) and the high HS-mGPS (HR 2.166, 95% CI 1.281-4.326, P=0.023) groups were independently and significantly associated with increased risk of all-cause death analyzed by multivariate COX regression. Additionally, PNI showed the best area under the curve value (AUC: 0.696, 95% CI 0.632-0.760 P < 0.001) for the prediction of all-cause mortality compared with the other nutritional indices.
Among the four nutritional risk screening tools, PNI might be a simple and useful indicator in predicting the long-term prognosis of elderly patients with AF.
多种客观全面的营养评估方法已被用于预测患有各种疾病的老年患者的不良结局。然而,它们对老年房颤(AF)患者长期不良结局的预测价值尚不清楚。本研究旨在探讨四种营养指标,即预后营养指数(PNI)、老年营养风险指数(GNRI)、控制营养状况(CONUT)和高敏改良格拉斯哥预后评分(HS-mGPS),在评估老年房颤患者长期预后中的预后意义。
本回顾性研究在单一中心进行,共纳入2015年12月至2021年12月期间的261例老年房颤患者。根据随访结果将患者分为全因死亡组和生存组。采用Kaplan-Meier分析和COX回归探讨全因死亡率与营养评分之间的关系。此外,使用受试者工作特征(ROC)曲线比较四种营养筛查工具对终点事件的预测价值。
随访期间,记录到119例(45.59%)全因死亡病例。PNI较低、GNRI较低、CONUT较高和HS-mGPS较高的参与者全因死亡的累积发生率显著更高。多因素COX回归分析显示,低PNI组(HR 1.325,95%CI 1.032-2.857,P=0.025)和高HS-mGPS组(HR 2.166,95%CI 1.281-4.326,P=0.023)与全因死亡风险增加独立且显著相关。此外,与其他营养指标相比,PNI在预测全因死亡率方面显示出最佳的曲线下面积值(AUC:0.696,95%CI 0.632-0.760,P<0.001)。
在四种营养风险筛查工具中,PNI可能是预测老年房颤患者长期预后的一种简单且有用的指标。