Details

Autor(en) / Beteiligte

• Foresta, Andreana
• Ojeda-Fernández, Luisa
• Augurio, Claudia
• Guanziroli, Cecilia
• Tettamanti, Mauro
• Macaluso, Giulia
• Lauriola, Paolo
• Nobili, Alessandro
• Roncaglioni, Maria Carla
• Baviera, Marta

Titel

Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients

Ist Teil von

• Journal of primary care & community health, 2024-01, Vol.15, p.21501319231222364-21501319231222364

Ort / Verlag

United States: SAGE Publishing

Erscheinungsjahr

2024

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Despite all the progress in the management of acute COVID-19, it is still not clear why some people continue to experience symptoms after recovery. Using data from a self-administered online survey, we assessed the prevalence and predictors of post-acute COVID-19 in an unselected population followed by GPs. Patients ≥18 years with a confirmed COVID-19 diagnosis were included. The survey collected information on demographics, risk factors, COVID-19 course and symptomatology. Fatigue and Quality of Life questionnaires were also administered. Descriptive statistics were used to describe patients' characteristics, stratified as acute and post-acute COVID-19. Logistic regression models were used to assess the association between clinical characteristics and post-acute COVID-19. A total of 1108 surveys were analyzed. Nearly 29% of patients reported post-acute COVID-19. The more persistent symptoms were fatigue, memory and concentration impairment. Adjusted Odds Ratio (OR) showed a significantly higher probability of post-acute COVID-19 for women compared to men (OR 1.9, 95% CI 1.4-2.5), for age >50 years than ≤50 years (OR 1.6, 95% CI 1.2-2.2), for BMI > 25 compared to BMI ≤ 25 (OR 1.6, 95% CI 1.1-2.1) and those with autoimmune diseases, compared to those without (OR 1.8 95% CI 1.1-2.9). In addition, a significant association was found with COVID-19 hospitalization, anxiety and allergies. We found that post-acute COVID-19 patients showed a higher fatigue and a worst quality of life. These findings suggest the need for tailored personalized strategies to improve the management of patients with post-acute COVID-19.