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Erschienen in: Inflammation Research 10-11/2022

13.08.2022 | Original Research Article

Comprehensive comparison of the prognostic value of systemic inflammation biomarkers for cancer cachexia: a multicenter prospective study

verfasst von: Hailun Xie, Guotian Ruan, Lishuang Wei, Heyang Zhang, Yizhong Ge, Qi Zhang, Shiqi Lin, Mengmeng Song, Xi Zhang, Xiaoyue Liu, Ming Yang, Meng Tang, Chun-Hua Song, Li Deng, Hanping Shi

Erschienen in: Inflammation Research | Ausgabe 10-11/2022

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Abstract

Aims

Systemic inflammation plays an important role in cancer cachexia. However, among the systemic inflammatory biomarkers, it is unclear which has optimal prognostic value for cancer cachexia.

Methods

The Kaplan–Meier method was used and the log-rank analysis was performed to estimate survival differences between groups. Cox proportional hazard regression analyses were conducted to assess independent risk factors for all-cause mortality.

Results

The C-reactive protein-to-albumin ratio (CAR) was the optimal prognostic assessment tool for patients with cancer cachexia, with 1-, 3-, and 5-year predictive powers of 0.650, 0.658, and 0.605, respectively. Patients with a high CAR had significantly lower survival rates than those with a low CAR. Moreover, CAR can differentiate the prognoses of patients with the same pathological stage. Cox proportional risk regression analyses showed that a high CAR was an independent risk factor for cancer cachexia. For every standard deviation increase in CAR, the risk of poor prognosis for patients with cancer cachexia was increased by 20% (hazard ratio = 1.200, 95% confidence interval = 1.132–1.273, P < 0.001).

Conclusions

CAR is an effective representative of systemic inflammation and a powerful factor for predicting the life function and clinical outcome of patients with cancer cachexia.
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Metadaten
Titel
Comprehensive comparison of the prognostic value of systemic inflammation biomarkers for cancer cachexia: a multicenter prospective study
verfasst von
Hailun Xie
Guotian Ruan
Lishuang Wei
Heyang Zhang
Yizhong Ge
Qi Zhang
Shiqi Lin
Mengmeng Song
Xi Zhang
Xiaoyue Liu
Ming Yang
Meng Tang
Chun-Hua Song
Li Deng
Hanping Shi
Publikationsdatum
13.08.2022
Verlag
Springer International Publishing
Erschienen in
Inflammation Research / Ausgabe 10-11/2022
Print ISSN: 1023-3830
Elektronische ISSN: 1420-908X
DOI
https://doi.org/10.1007/s00011-022-01626-7

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