Key result
A predictive risk model for frailty in elderly patients with multimorbidity was developed using age, BMI, education, exercise, medication types, and comorbidities (e.g., COPD coefficient 0.950).
Why the study?
The study aimed to investigate influencing factors of frailty and develop a predictive risk model for frailty in elderly patients with multimorbidity.
Population
3836 elderly patients with multimorbidity admitted to medical wards of five grade A tertiary hospitals
Design
Multicenter observational risk-prediction model development study
Authors
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May guide frailty risk stratification in multimorbid elderly inpatients; leaves open external validation and outcome impact.
Observational (n=3,836)
Yes
A predictive risk model incorporating age, BMI, education, exercise, medication types, and specific comorbidities (CHF, COPD, CCVD) can help predict frailty in elderly patients with multimorbidity.
Huang et al. (2022) conducted an observational in frailty in elderly patients with multimorbidity (n=3,836). Risk factors for frailty was evaluated on Frailty. A predictive risk model for frailty in elderly patients with multimorbidity was developed using age, BMI, education, exercise, medication types, and comorbidities (e.g., COPD coefficient 0.950).
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