SynthesisBMJ open diabetes research & care2026
Hyperosmolar hyperglycaemic state: a systematic review and meta-analysis.
Synthesis in BMJ open diabetes research & care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Current knowledge of hyperosmolar hyperglycaemic state (HHS) is drawn from case series and small observational cohorts, limiting applicability to broader clinical practice. There is a lack of robust, large-scale studies exploring triggers of HHS and associated mortality. This absence of reliable data impedes prevention strategies, tailored clinical guidelines, and equitable resource allocation. We conducted this systematic review to aggregate all relevant HHS cases, explore precipitating factors and outcomes, and how these vary by region. Searches across Ovid, PubMed, EMBASE, MEDLINE, Scopus, Web of Science, and Cochrane Library followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies reporting HHS cases from database inception to February 2025 were selected. Data on demographics, biochemical results, precipitants, outcomes, and complications were collected. 27 studies with a total of 63 935 cases were included. The median age was 63.8 years (IQR: 56.1-72.0). Common precipitants were non-infective illness (49.5%), infection (44.0%), and new diabetes diagnosis (31.7%). Intensive treatment unit admission was 40.8%, with the highest rate in North America (70.0%). Median hospital stay was 7.5 days, longest in Asia (17.5 days) and shortest in North and South America (4.0 days). Overall mortality was 21.1%, highest in Africa (40.0%), followed by Asia (18.2%), and lowest in North America (4.8%). Complications were acute kidney injury (7.6%), pulmonary oedema (4.8%), and acute coronary syndrome (3.9%). HHS presents with similar biochemistry globally, but outcomes vary significantly. Reducing mortality requires better diabetes diagnosis, harmonised protocols, and resource-adapted management to reduce gaps and inform prevention guidelines.
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