Exploration of frailty trajectories and their associations with health outcomes in older gastric cancer survivors undergoing radical gastrectomy: A prospective longitudinal observation study

医学 混淆 癌症 内科学 生活质量(医疗保健) 前瞻性队列研究 胃切除术 护理部
作者
Xueyi Miao,Yinning Guo,Yimeng Chen,Xinyi Xu,Lingyu Ding,Jieman Hu,Kang Zhao,Jinling Lu,Hanfei Zhu,Li Chen,Shuqin Zhu,Qin Xu
出处
期刊:Ejso [Elsevier]
卷期号:50 (2): 107934-107934 被引量:3
标识
DOI:10.1016/j.ejso.2023.107934
摘要

Abstract

Background

Frailty is commom among gastric cancer survivors and increases the burden of care.

Aims

Our aims were to identify the frailty trajectories and investigate their associations with health outcomes in older gastric cancer survivors.

Methods

We finally recruited 381 patients aged ≧60 who underwent radical gastrectomy and recorded frailty at discharge from the hospital, 1, 3, 6, and 12 months after surgery. Growth mixture modeling was used to investigate the frailty trajectories and linear regression models were used to examine their associations with health outcomes.

Results

Three classes of frailty trajectories were identified: the "improving frailty", "maintaining frailty" and "deteriorating frailty". Compared with class 1, patients who followed class 2 and class 3 frailty trajectories were more likely to have more severe disability (β = −14.22, 95 % CI: −17.92, −10.61, P < 0.001; β = −48.34, 95 % CI: −52.25, −44.42, P < 0.001), worse quality of life (β = 10.89, 95 % CI: 7.71,14.08, P < 0.001; β = 34.82, 95 % CI: 31.46, 38.19, P < 0.001), and more frequency readmission within 1 year (β = 1.02, 95 % CI: 0.98, 1.06, P < 0.001; β = 2.10, 95 % CI: 2.01, 2.14, P < 0.001) after controlling potential confounders. However, class 2 and class 3 have no significant difference from class 1 in the total hospitalization costs (β = 1672.12, 95 % CI: −7145.95, 10496.19, P = 0.709; β = 7651.60, 95 % CI: −1670.28, 16793.47, P = 0.107).

Conclusions

Our study suggested the significant prognostic heterogeneity in frailty trajectories, and what we need to do is to identify patients with heterogeneous trajectory and intervene in them to reduce adverse outcomes, promote rational use of resources, and reduce the burden of care.
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