ArticleScientific reports2019
Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Stress hyperglycemia ratio predicts adverse outcomes in emergency department patients with upper gastrointestinal bleeding.PloS one · 2026Article
- Effect of glycemic gap on prognosis and complications in vulnerable period of acute heart failure.Journal of medical biochemistry · 2025Article
- Interindividual variability in average glucose-glycated haemoglobin relationship in type 1 diabetes and implications for clinical practice.Diabetes, obesity & metabolism · 2022Article
- Type 2 Diabetes Mellitus with Tight Glucose Control and Poor Pre-Injury Stair Climbing Capacity May Predict Postoperative Delirium: A Secondary Analysis.Brain sciences · 2022Article
- Stress hyperglycemia is predictive of clinical outcomes in patients with spontaneous intracerebral hemorrhage.BMC neurology · 2022Article
- Admission blood glucose level and outcome in patients requiring venoarterial extracorporeal membrane oxygenation.Clinical research in cardiology : official journal of the German Cardiac Society · 2021Article
- Effects of Glycemic Gap on Post-Stroke Cognitive Impairment in Acute Ischemic Stroke Patients.Brain sciences · 2021Article
- Increased tissue factor activity promotes thrombin generation at type 1 diabetes onset in children.Pediatric diabetes · 2020Article
- Augmented glycaemic gap is a marker for an increased risk of post-infarct left ventricular systolic dysfunction.Cardiovascular diabetology · 2020Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic gap and in-hospital death in 425 diabetic patients hospitalized because of AHF were collected retrospectively. Glycemic gap was calculated as the A1c-derived average glucose subtracted from the admission plasma glucose level. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for glycemic gap to predict all-cause mortality. Patients with glycemic gap levels >43 mg/dL had higher rates of all-cause death (adjusted hazard ratio, 7.225, 95% confidence interval, 1.355-38.520) than those with glycemic gap levels ≤43 mg/dL. The B-type natriuretic peptide levels incorporated with glycemic gap could increase the predictive capacity for in-hospital mortality and increase the area under the ROC from 0.764 to 0.805 (net reclassification improvement = 9.9%, p < 0.05). In conclusion, glycemic gap may be considered a useful parameter for predicting the disease severity and prognosis of patients with diabetes hospitalized for AHF.
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