ArticleThe Journal of clinical endocrinology and metabolism2022
Predicting and Validating 30-day Hospital Readmission in Adults With Diabetes Whose Index Admission Is Diabetes-related.
Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Heterogeneous 30-day readmission risk in diabetic kidney disease: a nationwide analysis stratified by phenotype, age, and socioeconomic status.International urology and nephrology · 2026Article
- Nomogram Predicting 90-Day Readmission in Patients with Diabetes: A Prospective Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study.Frontiers in endocrinology · 2025Article
- Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study.Journal of diabetes research · 2025Article
- Predictors of readmission and mortality in adults with diabetes or stress hyperglycemia after initial hospitalization for COVID-19.BMJ open diabetes research & care · 2024Article
- Predictors of frequency of 1-year readmission in adult patients with diabetes.Scientific reports · 2023Article
- Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study.Nutrients · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe primary objective is to develop a prediction model of 30-day hospital readmission among adults with diabetes mellitus (DM) whose index admission was DM-related. The secondary aims are to internally and externally validate the prediction model and compare its performance with 2 existing models. RESEARCH DESIGN AND
settingData of inpatients aged ≥ 18 years from 2008 to 2015 were extracted from the electronic medical record system of the National University Hospital, Singapore. Unplanned readmission within 30 days was calculated from the discharge date of the index hospitalization. Multivariable logistic regression and 10-fold cross-validation were performed. For external validation, simulations based on prevalence of 30-day readmission, and the regression coefficients provided by referenced papers were conducted.
resultsEleven percent of 2355 patients reported 30-day readmission. The prediction model included 4 predictors: length of stay, ischemic heart disease, peripheral vascular disease, and number of drugs. C-statistics for the prediction model and 10-fold cross-validation were 0.68 (95% CI 0.66, 0.70) and 0.67 (95% CI 0.63 to 0.70), respectively. Those for the 3 simulated external validation data sets ranged from 0.64 to 0.68.
conclusionThe prediction model performs well with good internal and external validity for identifying patients with DM at risk of unplanned 30-day readmission.
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