ArticleBMC geriatrics2024
Development and validation of frailty risk prediction model for elderly patients with coronary heart disease.
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Diagnostic Accuracy of Cardiovascular Disease Prediction Models: A Systematic Review and Meta-Analysis of Validation Studies.Health science reports · 2026Review
- Development and internal validation of a frailty prediction model in adults aged ≥ 45 years with obesity: evidence from the China Health and Retirement Longitudinal Study (CHARLS).BMC public health · 2026Article
- Artificial Intelligence driven prediction of multiple outcomes in older adults with coronary heart disease.The Gerontologist · 2026Article
- Development and Validation of a Disability Risk Prediction Model for Older Adults Based on Machine Learning: A Multi-Algorithm Comparison with SHAP Interpretation.Clinical interventions in aging · 2026Article
- A Multicohort Machine Learning Framework to Predict Mortality in Elderly Patients With Heart Disease: Insights From HARLS, SHARE, and HRS.Cardiovascular therapeutics · 2026Article
- Prevalence and Associated Factors of Frailty in Middle-Aged and Elderly Patients with Atrial Fibrillation: An Exploratory Machine Learning Analysis.Clinical interventions in aging · 2026Article
- Development and internal validation of a frailty risk stratification model for older patients with spinal tuberculosis.Frontiers in medicine · 2026Article
- Frailty prediction in heart failure patients with acute infections: the potential role of thiazide diuretics?PloS one · 2026Article
- Relationship of endothelial activation and stress index on concurrent acute kidney injury in patients with heart failure during intensive care unit: a competing risk model analysis.BMC cardiovascular disorders · 2025Observational
- The relationship between disability, anxiety and depression in older adults with chronic disease comorbidities: the mediating role of frailty.BMC geriatrics · 2025Article
- Construction and Verification of a Frailty Risk Prediction Model for Elderly Patients with Coronary Heart Disease Based on a Machine Learning Algorithm.Reviews in cardiovascular medicine · 2025Article
- Development and validation of a model to predict the risk of frailty in older adults with panvascular disease.Frontiers in public health · 2025Article
- Association between social support and life space mobility in older patients after percutaneous coronary intervention: mediating roles of health literacy and intrinsic capacity.Frontiers in public health · 2025Observational
- Development and validation of a predictive model for frailty risk in older adults with cardiovascular-metabolic comorbidities.Frontiers in public health · 2025Article
- Development and validation of a frailty risk prediction model in patients with peripheral artery disease.Frontiers in surgery · 2025Article
- Prevalence and determinants of multidimensional frailty in hospitalized older adults with coronary heart disease: a LASSO regression analysis.Frontiers in cardiovascular medicine · 2025Article
- Subjective cognitive decline-a neglected but preventable public health concern: development and validation of a risk prediction model for subjective cognitive decline in older adults: a cross-sectional survey study from Anhui Province in eastern China.Frontiers in public health · 2025Article
- Research progress on risk prediction models of physical restraint in the elderly: a narrative review.Frontiers in aging · 2025Review
- Association between multidimensional frailty and quality of life in older adults with coronary heart disease: a cross-sectional study.Frontiers in psychology · 2025Article
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6 authors.
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Abstract
objectiveTo analyze the influential factors of frailty in elderly patients with coronary heart disease (CHD), develop a nomogram-based risk prediction model for this population, and validate its predictive performance.
methodsA total of 592 elderly patients with CHD were conveniently selected and enrolled from 3 tertiary hospitals, 5 secondary hospitals, and 3 community health service centers in China between October 2022 and January 2023. Data collection involved the use of the general information questionnaire, the Frail scale, and the instrumental ability of daily living assessment scale. And the patients were categorized into two groups based on frailty, and χ
resultsThe prevalence of frailty in elderly patients with CHD was 30.07%. The multiple factor analysis revealed that poor health status (OR = 28.169)/general health status (OR = 18.120), age (OR = 1.046), social activities (OR = 0.673), impaired instrumental ability of daily living (OR = 2.384) were independent risk factors for frailty (all P < 0.05). The area under the ROC curve of the nomograph prediction model was 0.847 (95% CI: 0.809 ~ 0.878, P < 0.001), with a sensitivity of 0.801, and specificity of 0.793; the Hosmer- Lemeshow χ
conclusionThe prevalence of frailty is high among elderly patients with CHD, and it is influenced by various factors such as health status, age, lack of social participation, and impaired ability of daily life. These factors have certain predictive value for identifying frailty early and intervention in elderly patients with CHD.
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