Prognosis Prediction of Cardiovascular Event With Glucose‐Albumin Ratio on Patients With Cancer and Prescribed With Anthracycline DOI Creative Commons
Iokfai Cheang, Ying Li, Xu Zhu

et al.

Cancer Medicine, Journal Year: 2024, Volume and Issue: 13(23)

Published: Dec. 1, 2024

ABSTRACT Aims This study aimed to investigate the clinical value of glucose‐albumin ratio (GAR) in predicting prognosis cancer patients prescribed anthracycline‐based chemotherapy. Methods We included who underwent chemotherapy, drawn from population‐based cohort Clinical Data Analysis Reporting System Hong Kong between January 2000 and December 2019. Demographics, medical history, baseline laboratory, metabolic indicators, including GAR, were collected. employed random survival forests (RSF) with variable importance (VIMP) method rank these variables. Cox proportional hazards regression was used assess association GAR levels event risks. Results A total 18,700 analysis. The top 2 factors for overall cardiovascular risk fasting blood glucose (FBG). Our results revealed that a higher significantly associated poorer Compared lowest quartile, increased all‐cause mortality, major adverse events, hospitalization heart failure, mortality regardless adjustments (all p trend < 0.001). Conclusion is potential biomarker undergoing Monitoring before during treatment may help identify at outcomes, facilitating personalized strategies improving management.

Language: Английский

Prognosis Prediction of Cardiovascular Event With Glucose‐Albumin Ratio on Patients With Cancer and Prescribed With Anthracycline DOI Creative Commons
Iokfai Cheang, Ying Li, Xu Zhu

et al.

Cancer Medicine, Journal Year: 2024, Volume and Issue: 13(23)

Published: Dec. 1, 2024

ABSTRACT Aims This study aimed to investigate the clinical value of glucose‐albumin ratio (GAR) in predicting prognosis cancer patients prescribed anthracycline‐based chemotherapy. Methods We included who underwent chemotherapy, drawn from population‐based cohort Clinical Data Analysis Reporting System Hong Kong between January 2000 and December 2019. Demographics, medical history, baseline laboratory, metabolic indicators, including GAR, were collected. employed random survival forests (RSF) with variable importance (VIMP) method rank these variables. Cox proportional hazards regression was used assess association GAR levels event risks. Results A total 18,700 analysis. The top 2 factors for overall cardiovascular risk fasting blood glucose (FBG). Our results revealed that a higher significantly associated poorer Compared lowest quartile, increased all‐cause mortality, major adverse events, hospitalization heart failure, mortality regardless adjustments (all p trend < 0.001). Conclusion is potential biomarker undergoing Monitoring before during treatment may help identify at outcomes, facilitating personalized strategies improving management.

Language: Английский

Citations

0