External validation of the diabetes early re-admission risk indicator (derriTM)

Daniel J. Rubin, Dominic Recco, Alexander Turchin, Huaqing Zhao, Sherita Hill Golden

Research output: Contribution to journalArticle

Abstract

Objective: The Diabetes Early Re-admission Risk Indicator (DERRITM) was previously developed and internally validated as a tool to predict the risk of all-cause re-admission within 30 days of discharge (30-day re-admission) of hospitalized patients with diabetes. In this study, the predictive performance of the DERRITM with and without additional predictors was assessed in an external sample. Methods: We conducted a retrospective cohort study of adult patients with diabetes discharged from two academic medical centers between January 1, 2000 and December 31, 2014. We applied the previously developed DERRITM, which includes admission laboratory results, sociodemographics, a diagnosis of certain comorbidities, and recent discharge information, and evaluated the effect of adding metabolic indicators on predictive performance using multivariable logistic regression. Total cholesterol and hemoglobin A1c (A1c) were selected based on clinical relevance and univariate association with 30-day re-admission. Results: Among 105,974 discharges, 19,032 (18.0%) were followed by 30-day re-admission for any cause. The DERRITM had a C-statistic of 0.634 for 30-day re-admission. Total cholesterol was the lipid parameter most strongly associated with 30-day re-admission. The DERRITM predictors A1c and total cholesterol were significantly associated with 30-day re-admission; however, their addition to the DERRITM did not significantly change model performance (C-statistic, 0.643 [95% confidence interval, 0.638 to 0.647]; P = .92). Conclusion: Performance of the DERRITM in this external cohort was modest but comparable to other re-admission prediction models. Addition of A1c and total cholesterol to the DERRITM did not significantly improve performance. Although the DERRITM may be useful to direct resources toward diabetes patients at higher risk, better prediction is needed.

Original languageEnglish (US)
Pages (from-to)527-541
Number of pages15
JournalEndocrine Practice
Volume24
Issue number6
DOIs
StatePublished - Jun 1 2018

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

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