A predictive nomogram among hypertension old population from the community: A cross-sectional study

Area of Science:

• Gerontology
• Cardiology
• Public Health

Background:

• Frailty is a significant concern for aging adults, particularly those with hypertension.
• Limited research exists on predicting frailty in hypertensive older populations.

Purpose of the Study:

• To develop and validate a nomogram for predicting frailty in elderly individuals with hypertension.
• To identify prevalence and determinants of frailty in this demographic.

Main Methods:

• Utilized data from the PBICR-2022 study, including 1135 hypertensive participants over 60.
• Assessed frailty using the FRAIL scale and employed logistic regression for model development.
• Included sociodemographic, physiological, psychological, and family health factors.

Main Results:

• Prevalence of social frailty was 30.91%.
• Key predictors identified: hypertension severity, falls history, illness perception, depression, and family health.
• The nomogram demonstrated high accuracy (AUC=0.984).

Conclusions:

• The developed prediction model effectively estimates frailty prevalence and identifies associated factors in older hypertensive adults.
• The model shows strong performance and potential for guiding frailty management strategies.