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. 2023 Feb;14(1):382-390.
doi: 10.1002/jcsm.13139. Epub 2022 Nov 29.

Hand grip strength-based cachexia index as a predictor of cancer cachexia and prognosis in patients with cancer

Affiliations

Hand grip strength-based cachexia index as a predictor of cancer cachexia and prognosis in patients with cancer

Hailun Xie et al. J Cachexia Sarcopenia Muscle. 2023 Feb.

Abstract

Background: The cachexia index is a useful predictor for cancer cachexia and prognostic assessment. However, its use is limited because of high testing costs and complicated testing procedures. Thus, in this study, we aimed to develop a hand grip strength (HGS)-based cancer cachexia index (H-CXI) as a potential predictor of cancer cachexia and prognosis in patients with cancer.

Methods: Here, 14 682 patients with cancer were studied, including the discovery (6592), internal validation (2820) and external validation (5270) cohorts. The H-CXI was calculated as [HGS (kg)/height (m)2 × serum albumin (g/L)]/neutrophil-to-lymphocyte ratio. The Kaplan-Meier method was used to create survival curves, and the log-rank test was used to compare time-event relationships between groups. A Cox proportional hazard regression model was used to determine independent risk factors for overall survival (OS). Logistic regression analysis was used to assess the association of the H-CXI with short-term outcomes and cancer cachexia.

Results: There was a significant non-linear relationship between the H-CXI and OS in all cohorts. Patients with a low H-CXI had significantly lower OS than those with a high H-CXI in the discovery cohort (6-year survival percentage: 55.72% vs. 76.70%, log-rank P < 0.001), internal validation cohort (6-year survival percentage: 55.81% vs. 76.70%, log-rank P < 0.001), external validation cohort (6-year survival percentage: 56.05% vs. 75.48%, log-rank P < 0.001) and total cohort (6-year survival percentage: 55.86% vs. 76.27%, log-rank P < 0.001). Notably, the prognostic stratification effect of the H-CXI in patients with advanced-stage disease was more significant than that in patients with early-stage disease. The multivariate Cox proportional risk regression model confirmed that a low H-CXI negatively affected the prognosis of patients with cancer in the discovery cohort [hazard ratio (HR) 0.75, 95% confidence interval (CI) 0.71-0.80, P < 0.001], internal validation cohort (HR 0.79, 95 %CI 0.72-0.86, P < 0.001), external validation cohort (HR 0.84, 95% CI 0.79-0.89, P < 0.001) and total cohort (HR 0.80, 95% CI 0.77-0.83, P < 0.001). Multivariate logistic regression models showed that a low H-CXI was an independent risk factor predicting adverse short-term outcomes and cancer cachexia in patients with cancer.

Conclusions: The simple and practical H-CXI is a promising predictor for cancer cachexia and prognosis in patients with cancer.

Keywords: HGS-based cachexia index; cachexia; cancer; prognosis.

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Conflict of interest statement

The authors declare that there is no conflict of interest.

Figures

Figure 1
Figure 1
Study design and flow chart.
Figure 2
Figure 2
Kaplan–Meier curve of HGS‐based cachexia index in patients with cancer in different cohorts. (A) Discovery cohort. (B) Internal validation cohort. (C) External validation cohort. (D) Total cohort.
Figure 3
Figure 3
The association between HGS‐based cachexia index and survival in patients with cancer. (A) Discovery cohort. (B) Internal validation cohort. (C) External validation cohort. (D) Total cohort.

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