ArticleAmerican journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2021
Development and validation of the Tool for Pharmacists to Predict 30-day hospital readmission in patients with Heart Failure (ToPP-HF).
Article in American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 9 citations in OpenAlex.
- Development and validation of a nomogram for predicting unplanned readmission within 30 days after discharge in patients with chronic heart failure.Pakistan journal of medical sciences · 2026Article
- Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study.Nutrients · 2023Article
- Prediction tool Development and Implementation in pharmacy praCTice (PreDICT) proposed guidance.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2023Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
purposePharmacists are well positioned to provide transitions of care (TOC) services to patients with heart failure (HF); however, hospitalizations for patients with HF likely exceed the capacity of a TOC pharmacist. We developed and validated a tool to help pharmacists efficiently identify high-risk patients with HF and maximize their potential impact by intervening on patients at the highest risk for 30-day all-cause readmission.
methodsWe conducted a retrospective cohort study including adults with HF admitted to a health system between October 1, 2016, and October 31, 2019. We randomly divided the cohort into development (n = 2,114) and validation (n = 1,089) subcohorts. Nine models were applied to select the most important predictors of 30-day readmission. The final tool, called the Tool for Pharmacists to Predict 30-day hospital readmission in patients with Heart Failure (ToPP-HF) relied upon multivariable logistic regression. We assessed discriminative ability using the C statistic and calibration using the Hosmer-Lemeshow goodness-of-fit test.
resultsThe risk of 30-day all-cause readmission was 15.7% (n = 331) and 18.8% (n = 205) in the development and validation subcohorts, respectively. The ToPP-HF tool included 13 variables: number of hospital admissions in previous 6 months; admission diagnosis of HF; number of scheduled medications; chronic obstructive pulmonary disease diagnosis; number of comorbidities; estimated glomerular filtration rate; hospital length of stay; left ventricular ejection fraction; critical care requirement; renin-angiotensin-aldosterone system inhibitor use; antiarrhythmic use; hypokalemia; and serum sodium. Discriminatory performance (C statistic of 0.69; 95% confidence interval [CI], 0.65-0.73) and calibration (Hosmer-Lemeshow P = 0.28) were good.
conclusionsThe ToPP-HF performs well and can help pharmacists identify high-risk patients with HF most likely to benefit from TOC services.
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