Clinical manifestations of COVID-19 in the general population: systematic review
Summary Clinical manifestations of COVID-19 are varied in the general population. This study aimed to systematize the literature regarding clinical manifestations of patients with confirmed COVID-19. A systematic review of the literature was conducted. A total of 8070 scientific productions were fou...
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Veröffentlicht in: | Wiener Klinische Wochenschrift 2021-04, Vol.133 (7-8), p.377-382 |
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Sprache: | eng |
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Clinical manifestations of COVID-19 are varied in the general population. This study aimed to systematize the literature regarding clinical manifestations of patients with confirmed COVID-19. A systematic review of the literature was conducted. A total of 8070 scientific productions were found in the databases. Among the studies, 184 met the initial inclusion criteria, with a total of 114,046 patients. After complete reading, 32 studies that did not report clinical manifestations were excluded. The 152 publications finally included a total of 41,409 individuals from at least 23 countries and 26 different clinical manifestations were reported. In percentage terms, 6 symptoms had a general prevalence greater than or equal to 25%, namely, fever (58.66%), cough (54.52%), dyspnea (30.82%), malaise (29.75%), fatigue (28.16%) and sputum/secretion (25.33%). Neurological symptoms (20.82%), dermatological manifestations (20.45%), anorexia (20.26%), myalgia (16.9%), sneezing (14.71%), sore throat (14.41%), rhinitis (14.29%), goosebumps (13.49%), headache (12.17%), chest pain (11.49%) and diarrhea (9.59%) were other common symptoms. Only one study reported dermatological manifestations. The least frequent sign/symptom was hemoptysis (1.65%). In studies with more than 100 patients, the 3 main symptoms were fever (57.93%), cough (54.21%), and dyspnea (30.64%). Dermatological manifestations do not appear among the main symptoms. The identification of all clinical manifestations of COVID-19 is essential for an early diagnosis and the adoption of preventive measures. |
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ISSN: | 0043-5325 1613-7671 |
DOI: | 10.1007/s00508-020-01760-4 |