ArticleESC heart failure2020
A novel nomogram to predict all-cause readmission or death risk in Chinese elderly patients with heart failure.
Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of the heart failure risk scores in predicting 1 year mortality and short-term readmission of patients.ESC heart failure · 2023Pooled it
- Development and Validation of a Nomogram Model for Predicting the Risk of Readmission in Patients with Heart Failure with Reduced Ejection Fraction within 1 Year.Cardiovascular therapeutics · 2022Trial
- Machine learning-based risk factor analysis and prediction model construction for mortality in chronic heart failure.Journal of global health · 2025Article
- Risk classification for long-term mortality among patients with acute heart failure: China PEACE 4YMortality.ESC heart failure · 2025Article
- Number of Readmissions and Its Determinants Among Patients With Heart Failure at Referral Hospitals in Amhara Region, Northwest Ethiopia: A Cross-Sectional Study Using Zero-Inflated Negative Binomial Model, 2023.Health science reports · 2025Article
- Time-varying cost-effectiveness analysis of sodium-glucose cotransporter-2 inhibitors in Chinese patients with heart failure and reduced ejection fraction: A microsimulation of the real-world population.Frontiers in pharmacology · 2025Article
- Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study.JMIR medical informatics · 2024Article
- SHAP based predictive modeling for 1 year all-cause readmission risk in elderly heart failure patients: feature selection and model interpretation.Scientific reports · 2024Article
- Construction of a web-based dynamic nomogram for predicting the prognosis in acute heart failure.ESC heart failure · 2023Article
- Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database.Journal of clinical medicine · 2023Article
- A novel web-based calculator to predict 30-day all-cause in-hospital mortality for 7,202 elderly patients with heart failure in ICUs: a multicenter retrospective cohort study in the United States.Frontiers in medicine · 2023Article
- Association between hyponatremia and adverse clinical outcomes of heart failure: current evidence based on a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2023Article
- Prognostic value of patient-reported outcomes in predicting 30 day all-cause readmission among older patients with heart failure.ESC heart failure · 2022Article
- Stress hyperglycemia ratio and neutrophil to lymphocyte ratio are reliable predictors of new-onset atrial fibrillation in patients with acute myocardial infarction.Frontiers in cardiovascular medicine · 2022Article
- Circulating N-Terminal Probrain Natriuretic Peptide Levels in Relation to Ischemic Stroke and Its Subtypes: A Mendelian Randomization Study.Frontiers in genetics · 2022Article
- A Survival Prediction for Acute Heart Failure Patients via Web-Based Dynamic Nomogram with Internal Validation: A Prospective Cohort Study.Journal of inflammation research · 2022Article
- Development and Validation of a Novel Nomogram to Predict Improved Left Ventricular Ejection Fraction in Patients With Heart Failure After Successful Percutaneous Coronary Intervention for Chronic Total Occlusion.Frontiers in cardiovascular medicine · 2022Article
- Time-to-event prediction analysis of patients with chronic heart failure comorbid with atrial fibrillation: a LightGBM model.BMC cardiovascular disorders · 2021Article
- Nomogram to differentiate between aortic dissection and non-ST segment elevation acute coronary syndrome: a retrospective cohort study.Cardiovascular diagnosis and therapy · 2021Article
- Development and Validation of a Nomogram to Predict the 180-Day Readmission Risk for Chronic Heart Failure: A Multicenter Prospective Study.Frontiers in cardiovascular medicine · 2021Article
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Authors and funding
13 authors.
Funding
Abstract
aimsElderly patients with heart failure (HF) are associated with frequent all-cause readmission or death. The present study sought to develop an accurate and easy-to-use model to predict all-cause readmission or death risk in Chinese elderly patients with HF. METHODS AND
resultsThis was a prospective cohort study in patients with HF aged 65 or older. Demographic, co-morbidity, laboratory, and medication data were collected. A Cox regression model was used to identify factors for the prediction of readmission or death at 30 days and 1 year. A nomogram was developed with bootstrap validation. Of the included 854 patients, the cumulative all-cause readmission and mortality rates were 10.5% and 11.6% at 30 days and 34.9% and 19.7% at 1 year, respectively. The independent risk factors associated with both 30 day and 1 year readmission or death were older age, stroke, diastolic blood pressure < 60 mmHg, body mass index ≤ 18.5 kg/m
conclusionsWe developed accurate and easy-to-use nomograms to predict all-cause readmission or death in Chinese elderly patients with HF. The nomograms will assist in reducing the all-cause readmission and mortality rates.
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