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1.
Clin Pract ; 12(4): 482-490, 2022 Jun 30.
Artigo em Inglês | MEDLINE | ID: mdl-35892438

RESUMO

The objective of this study was to analyze the effect of hydroxychloroquine or chloroquine associated with azithromycin on the QTc interval in Gabonese patients treated for COVID-19. METHODS: This was an observational study conducted from April to June 2020, at the Libreville University Hospital Center in Gabon. Patients admitted for COVID-19 and treated with hydroxychloroquine or chloroquine, each combined with azithromycin were included. The QTc interval was measured upon admission and 48 h after starting treatment. The primary endpoint was QTc prolongation exceeding 60 ms and/or a QTc value exceeding 500 ms at 48 h. RESULTS: Data from 224 patients, 102 (45.5%) who received hydroxychloroquine and 122 treated with chloroquine, were analyzed. The median baseline QTc was 396 (369-419) ms. After 48 h of treatment, 50 (22.3%) patients had a significant prolongation of QTc. This tended to be more frequent in patients treated with chloroquine (n = 33; 27.0%) than in those treated with hydroxychloroquine (n = 17; 16.7%) (p = 0.06). QTc prolongation exceeding 60 ms was found in 48 (21.3%) patients, while 11 patients had a (4.9%) QTc exceeding 60 ms at admission and exceeding 500 ms after 48 h. CONCLUSION: Early QTc prolongation is frequent in COVID-19 patients treated with hydroxychloroquine or chloroquine in association with azithromycin.

2.
Bull. méd. Owendo (En ligne) ; 20(51): 44-50, 2022.
Artigo em Francês | AIM (África) | ID: biblio-1378388

RESUMO

Introduction : L'étude clinique des patients infectés par le SARS-CoV2 est nécessaire pour la mise en œuvre des mesures préventives de lutte contre la COVID-19. L'objectif de l'étude a été de déterminer le profil clinique et évolutif des patients Covid-19 au CHU de Libreville.Méthodes : Il s'agit d'une étude rétrospective à viser analytique menée en secteur d'infectiologie COVID du SICOV du CHU de Libreville sur une période d'activité allant du 15 mars au 30 juin. La régression logistique univariée et multivariée pour explorer les facteurs de risque associés à la mortalité au SICOV a été utilisée. Résultats : Au total 441 patients COVID-19 étaient inclus dans l'étude, parmi lesquels 398 survivants (90,2%) et 43 décédés (9,8%). La population de moins de 65 ans représentait 88,0% de l'effectif. Le sex-ratio était de 1,34. Par rapport aux 398 survivants, les 43 patients décédés étaient significativement plus âgés (âge médian, 59 ans vs 48 ans ; p <0,001). Les lésions pulmonaires avec atteinte critique > 75% étaient plus importantes chez les patients décédés (29,2% vs 3,0% ; p=0,001). Cependant, après ajustement en analyse multivariée, l'âge supérieur à 65 ans était le seul facteur de risque indépendant de décès (p<0,001 ; OR=4,632 IC95% [2,243 ­ 9,565]).Conclusion : L'âge supérieur à 65 ans était le facteur de risque indépendant de décès, nécessitant un renforcement de mesure de contrôle de l'infection dans cette population


Introduction: The study of the prognostic factors of death of patients infected with SARS-CoV2 is necessary for the implementation of preventive measures against COVID-19. Methods: This is a retrospective study conducted in the COVID infectious disease sector of the SICOV of the University Hospital of Libreville over a period of activity from March 15 to June 30. The clinical course of the survivors and the deceased were compared. Univariate and multivariate logistic regression to explore risk factors associated with SICOV deaths were used.Results: A total of 441 COVID-19 patients were included in the study, of which 398 survivors (90.2%) and 43 died (9.8%). The population under 65 represented 88.0% of the workforce. The sex ratio was 1.34. Compared to the 398 survivors, the 43 patients who died were significantly older (median age, 59 years vs 48 years; p <0.001). Lung lesions with critical impairment > 75% were greater in deceased patients (29.2% vs. 3.0%; p = 0.001). On multivariate analysis, age over 65 was the main independent risk factor for death (p <0.001; OR = 4.632 95% CI [2.243 - 9.565]).Conclusion: Age over 65 was the independent risk factor for death, requiring increased infection control measures in this population


Assuntos
Humanos , Masculino , Feminino , Mortalidade , COVID-19 , Evolução Molecular , Perfil Genético , Teste de Ácido Nucleico para COVID-19
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