Introduction: Elevated glycosylated hemoglobin (HbA1c) in individuals with type 2 diabetes is associated with increased risk of hospitalization and death after acute COVID-19, however the effect of HbA1c on Long COVID is unclear.
Objective: Evaluate the association of glycemic control with the development of Long COVID in patients with type 2 diabetes (T2D).
Research Design And Methods: We conducted a retrospective cohort study using electronic health record data from the National COVID Cohort Collaborative. Our cohort included individuals with T2D from eight sites with longitudinal natural language processing (NLP) data. The primary outcome was death or new-onset recurrent Long COVID symptoms within 30-180 days after COVID-19. Symptoms were identified as keywords from clinical notes using NLP in respiratory, brain fog, fatigue, loss of smell/taste, cough, cardiovascular and musculoskeletal symptom categories. Logistic regression was used to evaluate the risk of Long COVID by HbA1c range, adjusting for demographics, body mass index, comorbidities, and diabetes medication. A COVID-negative group was used as a control.
Results: Among 7430 COVID-positive patients, 1491 (20.1%) developed symptomatic Long COVID, and 380 (5.1%) died. The primary outcome of death or Long COVID was increased in patients with HbA1c 8% to <10% (OR 1.20, 95% CI 1.02 to 1.41) and ≥10% (OR 1.40, 95% CI 1.14 to 1.72) compared with those with HbA1c 6.5% to <8%. This association was not seen in the COVID-negative group. Higher HbA1c levels were associated with increased risk of Long COVID symptoms, especially respiratory and brain fog. There was no association between HbA1c levels and risk of death within 30-180 days following COVID-19. NLP identified more patients with Long COVID symptoms compared with diagnosis codes.
Conclusion: Poor glycemic control (HbA1c≥8%) in people with T2D was associated with higher risk of Long COVID symptoms 30-180 days following COVID-19. Notably, this risk increased as HbA1c levels rose. However, this association was not observed in patients with T2D without a history of COVID-19. An NLP-based definition of Long COVID identified more patients than diagnosis codes and should be considered in future studies.
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http://dx.doi.org/10.1136/bmjdrc-2024-004536 | DOI Listing |
Health Promot Chronic Dis Prev Can
March 2025
Evidence Synthesis and Knowledge Translation Unit, Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Introduction: We investigated the prevalence of new or persistent manifestations experienced by COVID-19 survivors at 3 or more months after their initial infection, collectively known as post-COVID-19 condition (PCC).
Methods: We searched four electronic databases and major grey literature resources for prospective studies, systematic reviews, authoritative reports and population surveys. A random-effects meta-analysis pooled the prevalence data of 22 symptoms and outcomes.
PLOS Glob Public Health
March 2025
Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
Global South countries account for two-thirds of WHO Member States and are a crucial voice in negotiating the 'pandemic treaty', which Member States agreed was necessary if the world was to avoid a repeat of the significant inequity that resulted during COVID-19. The negotiation of a pandemic treaty presents an opportunity to recalibrate global health systems and processes for pandemic prevention, preparedness and response. However, for this to eventuate through global solidarity, as many Global South countries have said they expect, then concessions by developed states on issues that they have long protected must occur.
View Article and Find Full Text PDFPLoS One
March 2025
Department of Neuropsychiatry, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Aims: The aim of this study was to ascertain whether there has been an increase in the number of workers with long-term sickness absence due to mental disorders (LTSA-MD) and determine the impact of remote work on new LTSA-MD cases.
Methods: A web-based questionnaire was sent to 2,552 company offices with 150 or more workers in Osaka Prefecture. Data were obtained on the number of workers with LTSA-MD between April 1, 2019, and March 31, 2020 (fiscal year 2019) and between April 1, 2020, and March 31, 2021 (fiscal year 2020), along with their MD diagnoses (adjustment disorder [AD], depressive disorder [DEP], etc.
Biometrics
January 2025
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
SARS-CoV-2-infected individuals have reported a diverse collection of persistent and often debilitating symptoms commonly referred to as long COVID or post-acute sequelae of SARS-CoV-2 (PASC). Identifying PASC and its subphenotypes is challenging because available data are "negative-unlabeled" as uninfected individuals must be PASC negative, but those with prior infection have unknown PASC status. Moreover, feature selection among many potentially informative characteristics can facilitate reaching a concise and easily interpretable PASC definition.
View Article and Find Full Text PDFBackground: The coronavirus disease 2019 (COVID-19) pandemic exposed long-standing connections between health inequity and social injustice. With Millennials and Gen Z at the forefront of protests against racial injustices, the disconnect between students and educators is increasing. Students expect educators to trouble the comfort zone of the classroom and clinical settings to address the complex dynamics of anti-Black racism and oppressive practices.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!