Unknown

Dataset Information

Identifying interhospital variation in hyperosmolar hyperglycemic syndrome (HHS) care: development and outcomes of the DEKODE HHS model.


ABSTRACT:

Introduction

Hyperosmolar hyperglycemic state (HHS) is a life-threatening metabolic emergency with high mortality rate. Yet, there is no national system in the UK to monitor clinical practice or outcomes. To address this, we implemented and evaluated a multicenter surveillance system for HHS, assessing interhospital variations in management, outcomes, and barriers to guideline implementation.

Research design and methods

This mixed-methods observational study was conducted across 12 NHS hospitals between 2021 and 2024. A standardized data collection tool was developed, capturing demographics, biochemistry, treatment, and outcomes of HHS care. Adults meeting the Joint British Diabetes Societies criteria for HHS were included. Quantitative analyses were conducted to investigate

SUBMITTER: Kew TM 

PROVIDER: S-EPMC12684118 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature