Abstract

Objective: To determine predictors of prolonged length of stay (LOS), 30-day readmission, and 30-day mortality in a multihospital health system. Methods: We performed a retrospective review of 531 adults admitted with diabetic ketoacidosis (DKA) to a multihospital health system between November 2015 and December 2016. Demographic and clinical data were collected. Linear regression was used to calculate odds ratios (ORs) for predictors and their association with prolonged LOS (3.2 days), 30-day readmission, and 30-day mortality. Results: Significant predictors for prolonged LOS included: intensive care unit (ICU) admission (OR, 2.12; 95% confidence interval [CI], 1.38 to 3.27), disease duration (nonlinear) (OR, 1.28; 95% CI, 1.10 to 1.49), non-white race (OR, 1.73; 95% CI, 1.15 to 2.60), age at admission (OR, 1.03; 95% CI, 1.01 to 1.04), and Elixhauser index (EI) (OR, 1.21; 95% CI, 1.13 to 1.29). Shorter time to consult after admission (median [Q1, Q3] of 11.3 [3.9, 20.7] vs. 14.8 [7.4, 37.3] hours, P<.001) was associated with a shorter LOS. Significant 30-day readmission predictors included: Medicare insurance (OR, 2.35; 95% CI, 1.13 to 4.86) and EI (OR, 1.31; 95% CI, 1.21 to 1.41). Endocrine consultation was associated with reduced 30-day readmission (OR, 0.51; 95% CI, 0.28 to 0.92). A predictive model for mortality was not generated because of low event rates. Conclusion: EI, non-white race, disease duration, age, Medicare, and ICU admission were associated with adverse outcomes. Endocrinology consultation was associated with lower 30-day readmission, and earlier consultation resulted in a shorter LOS. Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EI = Elixhauser index; HbA1c = hemoglobin A1c; ICD = International Classification of Diseases; ICU = intensive care unit; LOS = length of stay; OR = odds ratio; Q = quartile.

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