Postdischarge rheumatic and musculoskeletal symptoms following hospitalization for COVID-19: prospective follow-up by phone interviews

Abstract

To describe the rheumatic and musculoskeletal symptoms at hospitalization as well as their persistence/severity after discharge with coronavirus disease 2019 (COVID-19) and to identify whether age, sex, body mass index (BMI), and length of hospital stay are associated with persistence of these symptoms. In this single-center cohort study, comprising 300 participants, two phone interviews were conducted (2-week and 1-month after hospitalization) and symptoms were queried with a standardized form. This form included musculoskeletal symptoms and other COVID-19 symptoms. Considering all symptoms (musculoskeletal and other), 100.0%, 86.7%, and 72.0% of patients reported one or more symptoms, at hospitalization, 2-week, and 1-month, respectively. Considering only musculoskeletal symptoms, 92.3%, 72.7%, and 56.3% of patients reported any musculoskeletal symptom at hospitalization, 2-week, and 1-month, respectively. The musculoskeletal symptoms were fatigue (44.3% of patients reported), back pain (22.7%), arthralgia (22.0%), myalgia (21.0%), low back pain (16.3%), and neck pain (10.3%); the other symptoms were shortness of breath (26.3%), loss of taste (15.0%), cough (14.0%), loss of smell (12.3%), loss of appetite (10.3%), headache (8.7%), sore throat (3.0%), diarrhea (1.3%), dizziness (1.3%), and fever (0.3%) at 1-month. Increasing BMI was associated with higher odds of persistence of fatigue (OR: 1.08, 1.03 to 1.13), myalgia (OR: 1.08, 1.01 to 1.14), and arthralgia (OR: 1.07, 1.02 to 1.14, p = 0.012) at 1-month. Nearly three-quarters reported one or more symptoms, with more than half of patients reported any musculoskeletal symptom at 1 month. The most common musculoskeletal symptom was fatigue, followed by back pain, arthralgia, myalgia, low back pain, and neck pain. The persistence of fatigue, myalgia, and arthralgia was related to BMI. The study results increase our understanding of the spectrum of COVID-19, which, in turn, may lead to more efficient and better care for COVID-19 survivors.