Evidence mapPaperPMID 41883449Full record

ArticleWorld journal of experimental medicine2026

Diabetic ketoacidosis in patients with type 2 diabetes: Risk factors for mortality and adverse outcomes.

Vishnu Chandrabalan, Timothy Howcroft, Mohammed Khalid Alkhalifah, Noorulanne Younis, Ebrahim Aldhafiri, Joseph M Pappachan

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Article in World journal of experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Vishnu ChandrabalanDepartment of Data Science, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, United Kingdom.
Timothy HowcroftDepartment of Data Science, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, United Kingdom.
Mohammed Khalid AlkhalifahDepartment of Endocrinology and Metabolism, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, United Kingdom.
Noorulanne YounisDepartment of Endocrinology and Metabolism, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, Lancashire, United Kingdom.
Ebrahim AldhafiriDepartment of Endocrinology and Metabolism, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, Lancashire, United Kingdom.
Joseph M PappachanFaculty of Science, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic ketoacidosis (DKA) resulting from type 2 diabetes mellitus (T2DM) is less common, and the factors associated with adverse outcomes and mortality are not well established based on large-scale studies.

aimTo identify the risk factors for adverse outcomes and mortality in treated patients with DKA in T2DM.

methodsRetrospective analysis of patients admitted to a tertiary-care hospital in the United Kingdom with DKA and T2DM for inpatient management between January 2010 to September 2024 to identify the clinical profile, demographic features, and laboratory parameters impacting treatment outcomes and survival.

resultsFour hundred and sixty-four patients were included. Of these 395 (85.13%) were White, 266 (57.3%) were males with a mean age at presentation of 61.3 (17.6) years, median inpatient hospital stay of 5 (interquartile range: 3-10.3) days, and a mean glycated HbA1c of 89.3 (30) mmol/mol. The 30-day and 90-day mortality were 13.4% and 11% respectively after the index DKA event. The long-term survival after the DKA event was only 58.6%. Presence of cerebrovascular disease [odds ratio (OR): 6.75; 95%CI: 0.76-12.74], use of sodium glucose cotransporter 2 inhibitors (OR: 5.8; 95%CI: 1.32-9.62), chronic obstructive pulmonary disease (OR: 3.6; 95%CI: 2.14-6.44), higher national early warning score 2 score (OR: 1.14; 95%CI: 0.10-2.18) and low systolic blood pressure (OR: -0.18; 95%CI: -0.32 to -0.04) at admission were the significant predictors of longer inpatient stay. Coexistent peripheral vascular disease (PVD; OR: 46.43) and congestive heart failure (CHF; OR: 30.83), and lower estimated glomerular filtration rate (eGFR; OR: 0.98) were the important predictors of mortality during the hospital treatment. The significant predictors on 30-day mortality were: Age (OR: 1.06), eGFR (0.97) and index of multiple deprivation (IMD) decile (0.74). The factors associated with long-term mortality risk were dementia (20.54-fold higher), continued use of sulfonylurea/metformin, and older age (4% higher with each additional year).

conclusionDKA carries a serious risk of mortality in both the short and long term in T2DM patients. Factors such as older age, dementia, PVD, CHF, low eGFR define the riskiest groups. These groups of patients may benefit from closer follow-up and more aggressive metabolic and comorbidity management after discharge.

Indexed as

DementiaDiabetic ketoacidosisHeart failureMortality riskPeripheral vascular diseaseType 2 diabetes mellitus

Identifiers

PMID41883449
PMCPMC13010754

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.