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The objectives were to investigate the clinical characteristics and course of long COVID, defined as the persistence of symptoms at least one month after the onset of COVID-19, in outpatients and to clarify differences in symptoms between SARS CoV-2 mutant strains. Our observational study in a primary care institution in Japan included 1053 patients with long COVID who visited our outpatient clinic between April 2021 and March 2023. Symptom distribution, performance status, and patient background at the time of the first outpatient visit were compared between infectious strains (Delta and before group and Omicron group). Background factors and symptoms related to time to remission were also analyzed. The severity of COVID-19 in the acute phase was mild, moderate, and severe in 82.2%, 14.9%, and 2.9% in the Delta and before group; and in 97.6%, 1.7%, and 0.4% in the Omicron group, respectively. Vaccination coverage was significantly different between the Delta and before (37.1%) and Omicron groups (73.1%) ( < 0.001), probably due to the period of vaccine unavailability in the former group. Symptoms of fatigue and headache occurred most frequently, irrespective of infectious strain. The mean number of symptoms per patient was significantly higher in the Delta and before group than the Omicron group (3.4 vs. 2.7, < 0.0001). The median time overall to remission of long COVID was 169 days. Cox hazard model analysis identified female sex, high body mass index, and dyspnea (but not infectious strain) as significant factors prolonging the time to remission ( < 0.05). Differences in the number of symptoms between infectious strains may be related to differences in viral virulence and/or vaccination coverage. However, the clinical course was found to be minimally influenced by the infectious strain. The present results should improve the understanding of prognosis in patients with long COVID from both the clinical and social perspectives.
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http://dx.doi.org/10.3390/jcm13175019 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
JAMA Netw Open
September 2025
Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Importance: Long COVID (ie, post-COVID-19 condition) is a substantial public health concern, and its association with health-related social needs, such as food insecurity, remains poorly understood. Identifying modifiable risk factors like food insecurity and interventions like food assistance programs is critical for reducing the health burden of long COVID.
Objective: To investigate the association of food insecurity with long COVID and to assess the modifying factors of Supplemental Nutrition Assistance Program (SNAP) participation and employment status.
Cureus
August 2025
Clinical Microbiology, Prathima Institute of Medical Sciences, Karimnagar, IND.
Since its discovery, the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), has become the epicenter of public health concern. This was mainly attributed to the complexity of COVID-19 that resulted in variable disease progression with some developing asymptomatic infections, some suffering mild to moderate infections that resolved without the need for hospitalizations, and a few infected persons developing severe infections that required intensive care unit (ICU) admission and mechanical ventilation. The COVID-19 pandemic spread globally, affecting billions of people and killing millions.
View Article and Find Full Text PDFBMJ Med
September 2025
Department of Prescription Data, Central Research Institute of Ambulatory Health Care, Berlin, Germany.
Objectives: To identify and quantify prescriptions after a covid-19 infection compared with other acute respiratory infections in previously healthy patients and those with chronic disease.
Design: Comparative observational study based on German routine data.
Setting: Ambulatory care of all residents in Germany with statutory health insurance (88% of the German population).
Scand J Public Health
September 2025
Department of Microbiology, Oslo University Hospital, Oslo, Norway.
Aims: The Norwegian Institute of Public Health calculated excess mortality for Norway in 2024 using a reference period that included 2023-a year with significant excess mortality-and concluded there was no excess mortality in 2024. This study estimates excess mortality in 2024 using only pre-pandemic years as the reference, providing a basis for identifying excess COVID-19 related mortality.
Methods: We estimated excess mortality in 2024 using a negative binomial model trained on 2010-2019 data.