Objective: To find out the association between poor glycaemic levels and biochemical and haematological abnormalities in patients of corona virus disease-2019.
Methods: The prospective, observational, cohort study was conducted at the Combined Military Hospital, Quetta, Pakistan, from September 2020 to February 2021, and comprised all patients who tested positive for coronavirus disease-2019 on polymerase chain reaction test and were subsequently admitted. The patients were divided into two groups on the basis of random blood glucose level at the time of admission; ≥11.1mmol/l (206mg/dl) in group A and 4-11.1mmol (74-206mg/dl) in group B. Association between categorical variables was evaluated and hazard ratio was measured. Data was analysed using SPSS 21.
Results: Of the 349 patients, there were 56(16%) in group A; 40(71.4%) males and 16(28.6%) females with age range 39-61 years. There were 293(84%) subjects in group B; 239(81.5%) males and 54(18.5%) females with age range 27-53 years. Overall, 75(21.4%) patients were known type 2 diabetics. A significant association was found between poor glycaemic control and raised levels of C-reactive protein, lactate dehydrogenase, ferritin, erythrocyte sedimentation rate, troponin, creatine kinase, creatine kinase-MB, alanine aminotransferase, creatinine and D-dimers (p<0.05). Inter-group differences were significant for acute kidney injury, acute liver injury, Intensive care unit admission for coagulation abnormalities and for overall mortality (p<0.05).
Conclusions: Poor glycaemic control was found to be a risk factor for developing multisystem complications in patients of coronavirus disease-2019.
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http://dx.doi.org/10.47391/JPMA.3803 | DOI Listing |
J Med Internet Res
January 2025
Department of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.
Background: Enhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care.
Objective: This study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care.
Methods: A 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.
J Appl Oral Sci
January 2025
Universidade Federal Fluminense, Instituto de Saúde de Nova Friburgo, Departamento de Clínica Odontológica, Nova Friburgo, Rio de Janeiro, Brasil.
Aim: To evaluate the clinical effectiveness of ozonated sunflower oil (Oz) as an adjunctive of non-surgical periodontal therapy in patients with type 2 diabetes mellitus (DM2), on fibroblast cell viability and migration and the effectiveness of Oz on a Candida albicans (C. albicans) culture.
Methodology: In total, 32 sites in 16 DM2 with moderate to advanced periodontal disease with periodontal pocket depths ≥5mm were selected.
PLoS One
January 2025
Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Sodium-glucose co-transporter 2 inhibitors, such as enavogliflozin, offer promising metabolic benefits for patients with type 2 diabetes (T2D), including glycemic control and improved cardiac function. Despite the clinical evidence, real-world evidence is needed to validate their safety and effectiveness. This study aims to evaluate the effects of weight loss and safety of enavogliflozin administration in patients with T2D in a real-world clinical setting over 24 weeks.
View Article and Find Full Text PDFRev Paul Pediatr
January 2025
Universidade Federal do Espírito Santo, Programa de Pós-Graduação Nutrição e Saúde, Vitória, ES, Brazil.
Objective: To assess the association between the combination of corporal adiposity (CA) and cardiorespiratory physical fitness (CRF) with cardiometabolic risk factors in children aged 7-10 years.
Methods: Cross-sectional observational study with a sample of 251 children registered in Family Health Units. Sociodemographic, lifestyle, anthropometric, biochemical, blood pressure, and CRF data were collected.
PLOS Digit Health
January 2025
Department of Mathematics & Statistics, York University, Toronto, Canada.
Chronic kidney disease (CKD) affects over 13% of the population, totaling more than 800 million individuals worldwide. Timely identification and intervention are crucial to delay CKD progression and improve patient outcomes. This research focuses on developing a predictive model to classify diabetic patients showing signs of kidney function impairment based on their CKD development risk.
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