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Emerging evidence indicates that some individuals recovering from COVID-19 develop persistent symptoms, including fatigue, pain, cognitive difficulties, and psychological distress, commonly known as Long COVID. These symptoms often overlap with those seen in Chronic Fatigue Syndrome/Myalgic Encephalomyelitis (CFS/ME), underscoring the need for integrative, non-pharmacological interventions. This Phase II controlled trial aimed to evaluate the feasibility and preliminary efficacy of Heart Rate Variability Biofeedback (HRV-BF) in individuals with Long COVID who meet the diagnostic criteria for CFS/ME. Specific objectives included assessing feasibility indicators (drop-out rates, side effects, participant satisfaction) and changes in fatigue, depression, anxiety, pain, and health-related quality of life. Participants were assigned alternately and consecutively to the HRV-BF intervention or Treatment-as-usual (TAU), in a predefined 1:1 sequence (). The intervention consisted of 10 HRV-BF sessions, held twice weekly over 5 weeks, with each session including a 10 min respiratory preparation and 40 min of active training. The overall drop-out rate was low (5.56%), and participants reported a generally high level of satisfaction. Regarding side effects, the mean total Simulator Sickness Questionnaire score was 24.31 (SD = 35.42), decreasing to 12.82 (SD = 15.24) after excluding an outlier. A significantly greater improvement in severe fatigue was observed in the experimental group (H = 4.083, = 0.043). When considering all outcomes collectively, a tendency toward improvement was detected in the experimental group (binomial test, < 0.0001). HRV-BF appears feasible and well tolerated. Findings support the need for Phase III trials to confirm its potential in mitigating fatigue in Long COVID.
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http://dx.doi.org/10.3390/jcm14155363 | 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.