Open Forum Infectious Diseases · 2021 · 33 citations · 15 references
NursingClinical SciencesInfectious DiseasesClinical EpidemiologyEpidemiologyTemporal EpidemiologySymptom AnalysisSymptom AssessmentSymptom ClustersSymptom PhenotypingSymptom ReportingSymptom TrajectoriesSymptom DynamicsSymptom FluctuationSymptom Temporal DynamicsSymptom Temporal ProfilingSymptom Trajectory AssessmentSymptom Variability AnalysisTemporal DynamicsTemporal Symptom Progression Analysis
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.
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Real-time tracking of self-reported symptoms to predict potential COVID-19
Cristina Menni, Ana M. Valdes, Maxim B. Freidin et al. · Nature Medicine · 2020 · 1.5K citations · Full text
Mark W. Tenforde, Sara Kim, Christopher J. Lindsell et al. · MMWR Morbidity and Mortality Weekly Report · 2020 · 1.4K citations · Full text
Veterinary Medicine, Infectious Diseases, Clinical Epidemiology +16
Jérôme R. Lechien, Carlos M. Chiesa‐Estomba, Sammy Place et al. · Journal of Internal Medicine · 2020 · 847 citations · Full text