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Published on: June 10, 2025
Weight fluctuations preceding and succeeding heart failure diagnosis: Implications for all-cause mortality
Haibo Gao1, Wei Li2, Yifei Wang2
1Department of Cardiology, Tangshan Gongren Hospital, Tangshan, Hebei, 063000, China; Graduate School, Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Insights
Weight loss before and after heart failure (HF) diagnosis significantly increases mortality risk. This finding highlights the importance of monitoring weight changes in HF patients for better outcomes.
Area of Science:
- Cardiology
- Clinical Research
- Public Health
Background:
- Heart failure (HF) is a major global health concern.
- Understanding prognostic factors in HF is crucial for patient management.
- Weight changes can influence HF outcomes.
Purpose of the Study:
- To investigate the impact of weight fluctuations before and after heart failure diagnosis on all-cause mortality.
- To identify weight changes as a potential independent risk factor for mortality in HF patients.
Main Methods:
- A cohort of individuals diagnosed with HF between 2006 and 2018 from the Kailuan Group health assessments was analyzed.
- Mortality data was collected until December 31, 2021.
- COX proportional hazards regression models were used to assess mortality risk, adjusting for confounders.
Main Results:
- Over a mean follow-up of 5.8 years, 30.7% of 3115 participants died.
- Weight reduction (Q1 category) was associated with significantly higher hazard ratios for mortality (1.71 [1.43-2.05]) compared to the Q3 category, after adjusting for confounders.
Conclusions:
- Pre- and post-diagnosis weight reduction is an independent risk factor for all-cause mortality in heart failure patients.
- These findings underscore the prognostic significance of weight loss in heart failure.
- Clinical monitoring of weight changes in HF patients is recommended.
Objective:
This study aims to explore the ramifications of weight fluctuations preceding and succeeding the identification of heart failure (HF) on all-cause mortality.
Methods:
The research cohort comprised individuals engaged in the Kailuan Group's health assessments from 2006 to 2018, who were subsequently diagnosed with HF. The moment of HF recognition marked the commencement of the monitoring period, culminating either at the instance of comprehensive mortality or at the conclusion of the monitoring phase (December 31, 2021).
Results:
Throughout an average monitoring span of 5.8±3.5 years, from the 3115 qualified participants, 957 instances (30.7%) encountered comprehensive mortality. The COX proportional hazards regression model's outcomes revealed that, post the adjustment for potential confounders, in comparison to the Q3 category, the Q1 category had the highest hazard ratios (95% confidence intervals) of 1.71 (1.43-2.05).
Conclusion:
Weight reduction before and post the HF diagnosis stands as an autonomous risk determinant for comprehensive mortality.
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