ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2025
Association of Glycemic Variability with Outcomes in Non-diabetic Sepsis Patients: A Prospective Observational Study.
Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive value of different glycemic variability indicators for prognosis in critically ill patients: a meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Glycemic Variability as a Predictor of Mortality in Sepsis Patients With Concurrent Persistent Inflammation, Immunosuppression, and Catabolism Syndrome.Immunity, inflammation and disease · 2026Article
- Simultaneous assessment of stress hyperglycemia ratio and glucose variability to predict all-cause mortality in sepsis patients across different glucose metabolic states: an observational cohort study with interpretable machine learning approach.International journal of surgery (London, England) · 2026Observational
- Association of glycemic variability with short- and long-term mortality in critically ill patients with trauma.Scientific reports · 2025Article
- Author Response: Glycemic Variability and Outcomes in Sepsis: There's No Smoke without Fire!Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Glycemic Variability and Outcomes in Sepsis: There's No Smoke without Fire!Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Controlling Glycemic Variability in Non-diabetic Sepsis Patients: A Step toward Precision in Critical Care.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Impact of Diabetes on Clinical Characteristics and Prognosis in Sepsis: A Retrospective Study.Journal of inflammation research · 2025Article
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Authors and funding
9 authors.
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Abstract
Background: Glycemic variability (GV) is the third domain of sepsis-induced dysglycemia, after hyperglycemia and hypoglycemia, potentially leading to adverse outcomes. This study analyzed the association of GV with in-hospital mortality and length of stay (LOS) in non-diabetic sepsis patients. Materials and methods: In this prospective observational study, non-diabetic sepsis patients were followed till day 14 of hospital stay, and blood glucose levels were assessed by finger-prick method (seven times per day) daily; clinico-laboratory and GV parameters [standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE)] were assessed on days 1, 3, 5, 7, 10, and 14 of admission. Results: Two hundred thirteen patients were screened and 80 (mean age 45.6 ± 15.37 years; 50% men) were included in the final analysis. Patients with in-hospital mortality had significantly higher GV when compared to patients without in-hospital mortality [SD: 37.57 vs 25.21, adjusted odds ratio (aOR) 1.13, 95% confidence interval (CI) 1.02-1.24, Conclusion: This study demonstrated that GV is independently associated with increased in-hospital mortality in non-diabetic sepsis patients. Further studies are required to investigate whether targeting lower GV in septic patients would translate to better outcomes. Clinical significance: Glycemic variability in sepsis is controversial, with discordant results and a paucity of studies on the Indian population in the literature. Despite blood sugar monitoring being routinely done in sepsis patients, GV is rarely measured and the results of our study indicate that it may be worthwhile to estimate GV in sepsis. This may aid in identifying a subset of patients with increased mortality risk, who may benefit from intensive glucose monitoring and modification of insulin regimen. How to cite this article: Prakash P, Sethi P, Vikram N, Khan M, Gupta Y, Jadon RS,
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