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Case Studies | Medicine | India | Volume 12 Issue 5, May 2023

Estimation of Glycemic Gap to Predict Adverse Outcome in Critically Ill Patients with Diabetes in a Tertiary Care Hospital in Vadodara

Rupal V. Dosi ^[2] | Suryaprakash Yadav | Darmanika B. Rathava | Savan K. Patel

Abstract: Introduction: Diabetes mellitus refers to a group of common metabolic disorders that share the phenotype of hyperglycemia several distinct types of DM are caused by complex interaction of genetic and environmental factors. Glycated hemoglobin (A1C) - Glycated hemoglobin (A1C, hemoglobin A1C, HbA1c) is the most widely used clinical test to estimate mean blood glucose. It is used to diagnose diabetes and to monitor the efficacy of treatment. Aim: to estimate Glycemic Gap for prediction of adverse outcomes and to use it as prognostic tool in assessing critically ill diabetes patients. Method: We investigated 41 patients, who were known case of Diabetes Mellitus on treatment, admitted to medicine department of SSGH, Vadodara. After clinical history and through clinical examination patients fulfilling inclusion criteria were enrolled and prospective observational study was undertaken. Results: In majority (23 (56.10%)) of patients, glycemic gap (mg/dL) was <60. Glycemic gap (mg/dL) was >=60 in only 18 out of 41 patients (43.90%). Mean value of glycemic gap (mg/dL) of study subjects was 73.1 ? 78.23 with median (25th - 75th percentile) of 50 (38 - 93). Conclusion: The glycemic gap is a tool that may be used to assess the severity and prognosis of patients with type 2 diabetes admitted with critical illness.

Keywords: Glycemic gap, critically ill, diabetes, adverse outcome

Edition: Volume 12 Issue 5, May 2023,

Pages: 893 - 896