Introduction and Objective: Diabetic ketoacidosis (DKA) requires protocolised management, yet real-world adherence is often inconsistent beyond initial stabilisation. We assessed the association between dynamic adherence to local DKA protocol and hospital length of stay (LOS) and examined the impact of DKA severity and specialist involvement (Endocrinology and ICU)). Methods: We conducted a retrospective cohort study of adults admitted with DKA at Barwon Health between November 2024 and October 2025. An Artificial Intelligence (AI)-based auditing tool retrospectively evaluated adherence across the first seven protocol decision points. The primary outcome was hospital length of stay (LOS). Results: A total of 82 admissions were included; 92.7% were patients with Type 1 Diabetes Mellitus. Correct initial insulin dosing occurred in 100% and prompt initiation in 89% of cases. Patients without prompt initiation had a longer mean LOS (9.4 vs 3.7 days). DKA severity was distributed as mild (32.9%), moderate (26.8%) and severe (29.3%) with increasing severity associated with longer LOS (3.1, 3.5 and 5.6 days, respectively). Greater protocol adherence correlated with shorter LOS (r = -0.43). Patients with complete adherence had a mean LOS of 1.7 days (n = 25) compared with 5.5 days in those with any deviation (n = 57). Specialist involvement was common and was associated with longer LOS, consistent with higher clinical complexity. Conclusion: In this retrospective cohort, strict dynamic adherence to DKA protocol steps was strongly associated with a significantly shorter hospital LOS. Delays following initial stabilisation were dominant contributors to prolonged hospitalisations. Specialist involvement did not reduce LOS, likely reflecting confounding by indication. AI-enabled auditing tools may provide a scalable approach to improving protocol reliability and support earlier corrective intervention in DKA management. Disclosure I. Shahid: None. T. Ramasamy: None. A. Anderson: None. K. Cukier: None.
Shahid et al. (Fri,) studied this question.
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