98%
921
2 minutes
20
Background: The symptoms of coronavirus disease 2019 (COVID-19) appear to be heterogenous, and the typical course of these symptoms is unknown. Our objectives were to characterize the common trajectories of COVID-19 symptoms and to assess how symptom course predicts other symptom changes as well as clinical deterioration.
Methods: One hundred sixty-two participants with acute COVID-19 responded to surveys up to 31 times for up to 17 days. Several statistical methods were used to characterize the temporal dynamics of these symptoms. Because 9 participants showed clinical deterioration, we explored whether these participants showed any differences in symptom profiles.
Results: Trajectories varied greatly between individuals, with many having persistently severe symptoms or developing new symptoms several days after being diagnosed. A typical trajectory was for a symptom to improve at a decremental rate, with most symptoms still persisting to some degree at the end of the reporting period. The pattern of symptoms over time suggested a fluctuating course for many patients. Participants who showed clinical deterioration were more likely to present with higher reports of severity of cough and diarrhea.
Conclusions: The course of symptoms during the initial weeks of COVID-19 is highly heterogeneous and is neither predictable nor easily characterized using typical survey methods. This has implications for clinical care and early-treatment clinical trials. Additional research is needed to determine whether the decelerating improvement pattern seen in our data is related to the phenomenon of patients reporting long-term symptoms and whether higher symptoms of diarrhea in early illness presages deterioration.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989225 | PMC |
http://dx.doi.org/10.1093/ofid/ofab090 | DOI Listing |
JCI Insight
September 2025
Edinburgh Medical School: Biomedical Sciences & Euan MacDonald Centre for M, University of Edinburgh, Edinburgh, United Kingdom.
Spinal muscular atrophy (SMA) is a neuromuscular disease caused by low levels of SMN protein. Several therapeutic approaches boosting SMN are approved for human patients, delivering remarkable improvements in lifespan and symptoms. However, emerging phenotypes, including neurodevelopmental comorbidities, are being reported in some treated SMA patients, indicative of alterations in brain development.
View Article and Find Full Text PDFMol Pharm
September 2025
Department of Patho-Functional Bioanalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-Ku, Kyoto 606-8501, Japan.
Fibroblast activation protein (FAP) is an attractive biomarker for tumor-targeting radioligands. While [Ga]Ga-FAPI-46 is a promising FAP-targeting radioligand for cancer diagnosis, clinical application of [Lu]Lu-FAPI-46 for targeted radionuclide therapy is limited due to its insufficient tumor retention. Albumin binder (ALB) including 4-(-iodophenyl)butyric acid is widely utilized to improve tumor accumulation of radioligands.
View Article and Find Full Text PDFJ 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.
Orv Hetil
September 2025
1 Szegedi Tudományegyetem, Szent-Györgyi Albert Orvostudományi Kar, Klinikai Központ, Fül-Orr-Gégészeti és Fej-Nyaksebészeti Klinika Szeged, Tisza Lajos körút 111., 6725 Magyarország.
J Med Internet Res
September 2025
Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany.
Background: The loss of a loved one is a common yet stressful event in later life. Internet- and mobile-based interventions have been proposed as an effective treatment approach for individuals with prolonged grief.
Objective: The AgE-health study aimed to investigate the efficacy of an eHealth intervention, trauer@ktiv, in reducing prolonged grief symptoms in a sample of older adults.