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Review Article | OPEN ACCESS

A scoping review of the prevalence, risk factors, impact, and prediction tools of inpatient hypoglycaemia in selected Asian regions

Andrew Gerald Hua Kiong Tan1, 2, Ernieda Md Hatah1, Adyani Md Redzuan1

1Centre for Quality Management of Medicine, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur; 2Training Management Division, Ministry of Health Malaysia, Putrajaya, Malaysia.

For correspondence:-  Adyani Redzuan   Email: adyani@ukm.edu.my

Received: 22 August 2025        Accepted: 11 January 2026        Published: 31 January 2026

Citation: Kiong Tan AG, Hatah EM, Redzuan AM. A scoping review of the prevalence, risk factors, impact, and prediction tools of inpatient hypoglycaemia in selected Asian regions. Trop J Pharm Res 2026; 25(1):125-140 doi: https://dx.doi.org/10.4314/tjpr.v25i1.15

© 2026 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: This scoping review mapped evidence on the prevalence, risk factors, clinical impacts, and prediction models of inpatient hypoglycaemia in Eastern, Southern, and Southeastern Asia. Methods: The indexing engines searched include MEDLINE, Web of Science, Scopus, ProQuest, and Google Scholar, covering publications from the inception of each database. Ninety-four studies were included and synthesized in accordance with the PRISMA-ScR guidelines. Results: Outputs from the regions of interest were uneven, with Eastern Asia contributing the most (n = 66). Prevalence varied widely (up to 57.9 %), particularly among insulin-treated and critically ill patients. Risk factors identified included age, insulin use, and diabetes duration, alongside novel factors such as surgery grade, rural residence, functional status, and specific biomarkers (e.g., low-density lipoprotein-cholesterol, C-peptide), and certain medications. Hypoglycaemia was linked to higher mortality, prolonged hospitalization, cognitive decline, and other major complications. Five clinical prediction models, all from China, were identified; however, none covered type 1 diabetes or underwent external validation. Inpatient hypoglycaemia is linked to adverse outcomes yet remains under-researched in Southern and Southeastern Asia. Conclusion: These findings highlight the need for region-specific data, validated predictive tools, and targeted preventive measures to mitigate its clinical impact.

Keywords: Asia, Hypoglycaemia, Inpatients, Prevalence, Risk factors

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

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