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| http://dx.doi.org/10.1111/dom.14170 | DOI Listing |
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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA.
Sci Rep
January 2025
Department of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coronavirus diseases 2019 (COVID-19). The aim of our study was to develop a predictive model for the occurrence of critical illness and mortality in COVID-19 patients with DKA utilizing machine learning. Blood samples and clinical data from 242 COVID-19 patients with DKA collected from December 2022 to January 2023 at Second Xiangya Hospital.
View Article and Find Full Text PDFMetabolic acidosis with elevated anion gap and euglycemic ketoacidosis in pregnant and postpartum women with severe Covid-19.
Ann Med
December 2025
Intensive Care Unit, State Institute for Infectious Diseases São Sebastião, Rio de Janeiro, Rio de Janeiro, Brazil.
Background/objectives: Pregnant and postpartum women have a higher risk for developing severe Covid-19 and other clinical and obstetric complications. This study aims to evaluate the frequency of metabolic acidosis with elevated anion gap and describe a case series of euglycemic ketoacidosis (EKA) in pregnant and postpartum women with severe confirmed or suspected Covid-19.
Materials And Methods: Observational retrospective study carried in a reference intensive care unit from May 2020 to June 2022.
Telemedicine for Managing Type 1 Diabetes in Children and Adolescents Before and After the COVID-19 Pandemic.
J Clin Med
December 2024
Pediatric Clinic, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
The COVID-19 pandemic has catalyzed the rapid expansion of telemedicine for managing chronic conditions such as type 1 diabetes (T1D) in children and adolescents. This narrative review aims to explore the role of telemedicine in pediatric T1D management by comparing its use before and after the pandemic. We conducted a comprehensive literature review covering studies published between 2000 and 2024, focusing on telemedicine applications in pediatric T1D care.
View Article and Find Full Text PDFCOVID-19 infection and inactivated vaccination: Impacts on clinical and immunological profiles in Chinese children with type 1 diabetes.
World J Diabetes
December 2024
Department of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China.
Background: The coronavirus disease 2019 (COVID-19) pandemic has been linked to an increased incidence of diabetes and diabetic ketoacidosis (DKA). However, the relationship between COVID-19 infection and progression to type 1 diabetes (T1D) in children has not been well defined.
Aim: To evaluate the influence of COVID-19 infection and inactivated vaccine administration on the progression of T1D among Chinese children.
The effect of COVID-19 pandemic on new-onset adult diabetes and its one-year follow-up.
Prim Care Diabetes
December 2024
Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul Faculty of Medicine, Istanbul University, Turkey.
Aims: Bidirectional detrimental relationships between COVID-19 infection and diabetes have been described globally. However, new-onset diabetes in adults and its follow-up during the pandemic have not been sufficiently investigated. In this study, new-onset autoimmune and type 2 diabetes cases during the pandemic were compared to those before the pandemic, and the clinical course of new-onset diabetes during the pandemic was examined.
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