Key result
Age, BMI, heart rate, creatinine, and economic status independently predict incident geriatric heart failure.
Why the study?
Heart failure prevalence is increasing globally, but detailed clinico-epidemiological profiles in geriatric patients are needed to understand associated factors.
Observational (n=100)
No
In a hospital-based cohort of geriatric patients, age, BMI, heart rate, economic status, and serum creatinine were identified as significant predictors of heart failure incidence.
Answers are grounded in this paper and cite their sources.
Describes clinico-epidemiological HF profile in geriatric patients; leaves open need for targeted prospective studies.
Introduction: Heart Failure (HF) is a chronic complex clinical condition that results from any structural or functional (systolic or diastolic) impairment of ventricular filling or ejection of blood. It has currently increased in prevalence with 64.34 million cases, accounting for 9.91 million years of healthy life lost due to disability (YLDs). Aim: This research was conducted to study the clinico-epidemiological profile of heart failure in geriatric patients. Materials & Methodology: The present hospital based study was conducted for a period of 18 months, among all patients above 60yrs of age presented to OPD or admitted in medicine department, NIMS, as a case of Heart failure. Follow up was done till the study end points. Results: Total of 100 patients were included in the study, who fulfilled the inclusion criteria. The median age of patients was found to be71.77±0.72 years, among which 58.6% are male. There was significant association of Heart failure with ejection fraction & Systolic HTN. Conclusion: We concluded that age, BMI, Heart Rate, economic status and serum creatinine are significant factor in predicting the incidence of heart failure in the geriatric patients.
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Vats et al. (2023) conducted an observational in Heart Failure (n=100). Clinical and epidemiological risk factors was evaluated on Predictors and associations of heart failure. Age, BMI, heart rate, economic status, and serum creatinine were identified as significant factors in predicting the incidence of heart failure in geriatric patients.
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