Introduction: Gestational diabetes (GDM) is one of the most common complications in pregnancy, with a prevalence that continues to rise. At the time of the COVID-19 epidemic, immediate reorganisation and adjustment of the system was needed. Telemedicine support was offered in order to provide high-quality treatment to pregnant women. However, the success of the treatment is unknown. We therefore aimed to evaluate COVID-19 epidemic effects on pregnancy outcomes in GDM.
Methods: The maternal outcomes (insulin treatment, gestational weight gain, caesarean section, hypertensive disorders) and perinatal outcomes (rates of large and small for gestational age, preterm birth and a composite child outcome) of women visiting a university hospital diabetes clinic from March to December 2020 were compared with those treated in the same period in 2019.
Results: Women diagnosed with GDM during the COVID-19 epidemic (n=417), were diagnosed earlier (23.9 [11.7-26.0] vs. 25.1 [21.8-26.7] gestational week), had higher fasting glucose (5.2 [5.0-5.4] vs. 5.1 [4.8-5.3] mmol/l) and earlier pharmacological therapy initiation, and had achieved lower HbA1c by the end of followup (5.1% (32.2 mmol/mol) [4.9% (30.1 mmol/mol)-5.4% (35.0 mmol/mol)] vs. 5.2% (33.3 mmol/mol) [5.0% (31.1 mmol/mol) - 5.4%·(35.5 mmol/mol)], p<0.001) compared to a year before (n=430). No significant differences in perinatal outcomes were found.
Conclusions: Although GDM was diagnosed at an earlier gestational age and higher fasting glucose concentration was present at the time of diagnosis, the COVID-19 epidemic did not result in worse glucose control during pregnancy or worse pregnancy outcomes in Slovenia.
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http://dx.doi.org/10.2478/sjph-2023-0004 | DOI Listing |
Open Forum Infect Dis
January 2025
Infectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Background: Establishing correlates of protection often requires large cohorts. A rapid and adaptable case-control study design can be used to identify antibody correlates of protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in serum and saliva.
Methods: We designed a case-control study to compare antibody levels between cases of SARS-CoV-2 infection within 5 days of symptom onset and uninfected controls.
J Hunger Environ Nutr
January 2024
Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, California, United States.
The COVID-19 pandemic worsened food insecurity worldwide. The aim of this study was to examine the impact of the pandemic on perceived food insecurity among households in rural Esmeraldas, Ecuador. We conducted a cross-sectional survey to characterize pandemic impacts on household livelihoods and food insecurity in five communities.
View Article and Find Full Text PDFLife Med
April 2024
Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China.
Clin Transl Immunology
January 2025
Infectious Diseases Group, Infection, Immunity and Global Health Theme Murdoch Children's Research Institute Parkville VIC Australia.
Objectives: Bacille Calmette-Guérin (BCG) vaccination has off-target effects on disease risk for unrelated infections and immune responses to vaccines. This study aimed to determine the immunomodulatory effects of BCG vaccination on immune responses to vaccines against SARS-CoV-2.
Methods: Blood samples, from a subset of 275 SARS-CoV-2-naïve healthcare workers randomised to BCG vaccination (BCG group) or no BCG vaccination (Control group) in the BRACE trial, were collected before and 28 days after the primary course (two doses) of ChAdOx1-S (Oxford-AstraZeneca) or BNT162b2 (Pfizer-BioNTech) vaccination.
Digit Health
January 2025
Department of Journalism and Communications, Joongbu University, Gyeonggi-do, South Korea.
Objective: The COVID-19 outbreak has significantly impacted human lifestyles and life patterns. Therefore, data related to human social life may tell us the increase or decrease in the number of confirmed COVID-19 cases. However, although the number of confirmed cases is affected by social life, it is difficult to find studies that attempt to predict the number of confirmed cases using various lifestyle data.
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