Objectives: COVID-19 exacerbates the long-standing, low-grade chronic inflammation observed in diabetes leading to heightened insulin resistance and hyperglycemia. Mortality increases with hyperglycemia and poor glycemic variability, hence, this study aims to identify the predictors associated with poor glycemic control and increased glucose variability among patients with COVID-19 and Type 2 Diabetes Mellitus (T2DM).
Methodology: A retrospective chart review of 109 patients with moderate to severe COVID-19 and T2DM admitted from March 2020 to June 2021 was done. Logistic regression was done to determine predictors for hyperglycemia and poor variability.
Results: Of the 109 patients, 78% had hyperglycemia and poor variability and 22% had no poor outcomes. Chronic kidney disease (eOR 2.83, CI [1.07-7.46], = 0.035) was associated with increased glycemic variability. In contrast, increasing eGFR level (eOR 0.97, CI [0.96-0.99], = 0.004) was associated with less likelihood of increased variability. Hs-CRP (eOR 1.01, CI [1.00-1.01], = 0.011), HbA1c (eOR 1.86, CI [1.23-2.82], = 0.003), severe COVID-19 (eOR 8.91, CI [1.77-44.94], = 0.008) and critical COVID-19 (eOR 4.42, CI [1.65-11.75], = 0.003) were associated with hyperglycemia. Steroid use (eOR 71.17, CI [8.53-593.54], <0.001) showed the strongest association with hyperglycemia.
Conclusion: Potential clinical, laboratory and inflammatory profiles were identified as predictors for poor glycemic control and variability outcomes. HbA1c, hs-CRP, and COVID-19 severity are predictors of hyperglycemia. Likewise, chronic kidney disease is a predictor of increased glycemic variability.
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http://dx.doi.org/10.15605/jafes.038.02.07 | DOI Listing |
Rev Endocr Metab Disord
January 2025
School of Public Health, University of Technology Sydney, Ultimo, NSW, 2007, Australia.
This review is to systematically explore the relationship between muscle dysfunction and diabetes in adults, and to examine the impact of glycemic variability on muscle health and the development of diabetes-related complications. The review was conducted using three databases: MEDLINE, Scopus, and EMBASE, targeting peer-reviewed journal articles written in English and published from January 2014 to September 2024. The methodological quality assessment of the eligible studies was conducted using Joanna Briggs Institute Critical Appraisal Checklists.
View Article and Find Full Text PDFCureus
December 2024
Obstetrics and Gynecology, Shree Guru Gobind Singh Tricentenary University Medical College, Hospital and Research Institute, Gurugram, IND.
Objective: Type 2 diabetes is a metabolic disorder characterized by insulin resistance and hyperglycemia affecting many individuals worldwide. For effective management, adherence to recommended physician visits is important, along with lifestyle modification and pharmacological interventions. Regular doctor visits can improve adherence and help prevent complications.
View Article and Find Full Text PDFPlast Surg (Oakv)
February 2025
Larner College of Medicine, University of Vermont, Burlington, VT, USA.
Lipohypertrophy is the most reported cutaneous complication of insulin injection. In cases refractory to conservative management, liposuction has been proposed as a treatment. This review aims to evaluate the use of liposuction for the treatment of insulin-induced lipohypertrophy.
View Article and Find Full Text PDFMed Mycol
January 2025
Division of Infectious Diseases.
Coccidioidomycosis is an endemic fungal infection caused by the soil-dwelling Coccidioides immitis/posadasii. One prior study showed that persons with diabetes mellitus (DM) with elevated glucose at the time of coccidioidomycosis had poorer coccidioidal outcomes compared to persons without DM. The purpose of this study was to assess the association between hemoglobin A1C (A1C) and outcomes among persons with coccidioidomycosis and co-existing DM.
View Article and Find Full Text PDFDiabetes Res Clin Pract
January 2025
Department of Cardiovascular Medicine, The 2(nd) Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi, China; Molecular Medicine of Jiangxi Key Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, 330006, China. Electronic address:
Objective: High glycemic variability (GV) often indicates a poor prognosis. Our aim is to investigate the relationship between GV and short and long-term mortality in critically ill heart failure (HF) patients.
Methods: We extracted data from the Medical Information Mart for Intensive Care IV database.
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