SARS-CoV-2 en ambulatoire : l’UIGP reçoit un prix à la CMGE
Dagmar Haller, Paul Sebo et Hubert Maisonneuve ont reçu le prix de la meilleure communication lors du e-congrès du collège de la médecine générale Français en juillet 2020.
La présentation portait sur les signes cliniques associés à l’infection par SARS-CoV-2 en ambulatoire. Le comité scientifique a souligné les qualités scientifique du travail, la pertinence des résultats pour la communauté des médecins généralistes, l’originalité de la présentation et apprécié la présentation conjointe par l’ensemble des membres de l’équipe.
Abstract
Background: The early identification of patients suffering from SARS-CoV-2 infection in primary care is of outmost importance in the current pandemic.
Aim: To gain a better understanding of the specific symptoms of SARS-CoV-2 infection in primary care.
esign and setting:We conducted a cross-sectional study between March 24 and May 7, 2020, involving consecutive patients undergoing RT-PCR testing in two community-based laboratories in Lyon (France) for a suspicion of COVID-19.
Methods: We examined the association between various symptoms and a positive test using univariate and multivariate logistic regression, adjusted for clustering within the laboratories.
Results: Of the 1561 patients tested, 1543 agreed to participate (participation rate: 99%). Among them, 253 were positive for SARS-Cov-2 (16%). In multivariate analysis, loss of taste (OR 3.8 [95%CI 3.3-4.4], p-value<0.001), loss of smell (OR 3.0 [95%CI 1.9-4.8], p-value<0.001), muscle pain (OR 1.6 [95%CI 1.2-2.0], p-value 0.001) and dry nose (OR 1.3 [95%CI 1.1-1.6], p-value 0.01) were significantly associated with a positive result. The strength of association with taste and smell disorders was higher for symptom combinations (OR 6.5 [95%CI 3.9-10.8] for loss of taste and smell, OR 6.7 [95%CI 5.9-7.5] for loss of taste or smell). In contrast, sore throat (OR 0.6 [95%CI 0.4-0.8], p-value 0.003), stuffy nose (OR 0.7 [95%CI 0.6-0.7], p-value<0.001), diarrhea (OR 0.6 [95%CI 0.5-0.6], p-value<0.001) and dyspnea (OR 0.5 [95%CI 0.3-0.7], p-value<0.001) were inversely associated with a positive test.
Conclusion: Our data could further facilitate targeted screening and contribute to the triage and early identification of new clusters of cases.