{"title":"[2020-2021年塞内加尔坦巴昆达地区COVID-19患者死亡率的相关因素]。","authors":"Samba Thioub, Mathias NDiaye, Ibou Gueye, Kalidou Djibril Sow, Tidiane Gadiaga, Emmanuel Sopoh, Jean Kaboré, Pauline Kiswendsida Yanogo","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>To identify the predictive factors and reduce the mortality of COVID-19 in the Tambacounda region.</p><p><strong>Materials and methods: </strong>An analytical cross-sectional study was conducted on confirmed COVID-19 individuals. Sampling was exhaustive with 303 cases. Data were collected by literature review, secondary data extraction and interviews. A data extraction form and an Epi Info®7.4.2.0 input mask were used. Medians, numbers, proportions were calculated and odds ratios were estimated. Statistical analysis was performed using Epi Info®7.2.4.0, SAS®9.4 and Excel®2019.</p><p><strong>Results: </strong>Of the confirmed cases, 58 (19.1%) were deceased. The median age was 59 years (43-69 years). The sex ratio (male to female) was 1.6. Factors independently associated with mortality in COVID-19 were diabetes (ORa=9.34, CI95% [2.15-40.63]); hypertension (ORa=6.51, CI95% [1.85-22.93]); acute respiratory distress (ORa=6.22, CI95% [2.89-13.37]); male sex (ORa=6.44, CI95% [2.22-18.65]) and age ≥ 60 years (ORa=2.62, CI95% [1.14-6.02]).</p><p><strong>Conclusion: </strong>Prevention strategies targeting diabetics, hypertensives, males, and those at least 60 years old would reduce mortality from COVID-19 in the Tambacounda region.</p>","PeriodicalId":74061,"journal":{"name":"Le Mali medical","volume":"39 3","pages":"14-21"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Factors associated with mortality in patients with COVID-19 in the Tambacounda region, Senegal, 2020-2021].\",\"authors\":\"Samba Thioub, Mathias NDiaye, Ibou Gueye, Kalidou Djibril Sow, Tidiane Gadiaga, Emmanuel Sopoh, Jean Kaboré, Pauline Kiswendsida Yanogo\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>To identify the predictive factors and reduce the mortality of COVID-19 in the Tambacounda region.</p><p><strong>Materials and methods: </strong>An analytical cross-sectional study was conducted on confirmed COVID-19 individuals. Sampling was exhaustive with 303 cases. Data were collected by literature review, secondary data extraction and interviews. A data extraction form and an Epi Info®7.4.2.0 input mask were used. Medians, numbers, proportions were calculated and odds ratios were estimated. Statistical analysis was performed using Epi Info®7.2.4.0, SAS®9.4 and Excel®2019.</p><p><strong>Results: </strong>Of the confirmed cases, 58 (19.1%) were deceased. The median age was 59 years (43-69 years). The sex ratio (male to female) was 1.6. Factors independently associated with mortality in COVID-19 were diabetes (ORa=9.34, CI95% [2.15-40.63]); hypertension (ORa=6.51, CI95% [1.85-22.93]); acute respiratory distress (ORa=6.22, CI95% [2.89-13.37]); male sex (ORa=6.44, CI95% [2.22-18.65]) and age ≥ 60 years (ORa=2.62, CI95% [1.14-6.02]).</p><p><strong>Conclusion: </strong>Prevention strategies targeting diabetics, hypertensives, males, and those at least 60 years old would reduce mortality from COVID-19 in the Tambacounda region.</p>\",\"PeriodicalId\":74061,\"journal\":{\"name\":\"Le Mali medical\",\"volume\":\"39 3\",\"pages\":\"14-21\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Le Mali medical\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Le Mali medical","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Factors associated with mortality in patients with COVID-19 in the Tambacounda region, Senegal, 2020-2021].
Aims: To identify the predictive factors and reduce the mortality of COVID-19 in the Tambacounda region.
Materials and methods: An analytical cross-sectional study was conducted on confirmed COVID-19 individuals. Sampling was exhaustive with 303 cases. Data were collected by literature review, secondary data extraction and interviews. A data extraction form and an Epi Info®7.4.2.0 input mask were used. Medians, numbers, proportions were calculated and odds ratios were estimated. Statistical analysis was performed using Epi Info®7.2.4.0, SAS®9.4 and Excel®2019.
Results: Of the confirmed cases, 58 (19.1%) were deceased. The median age was 59 years (43-69 years). The sex ratio (male to female) was 1.6. Factors independently associated with mortality in COVID-19 were diabetes (ORa=9.34, CI95% [2.15-40.63]); hypertension (ORa=6.51, CI95% [1.85-22.93]); acute respiratory distress (ORa=6.22, CI95% [2.89-13.37]); male sex (ORa=6.44, CI95% [2.22-18.65]) and age ≥ 60 years (ORa=2.62, CI95% [1.14-6.02]).
Conclusion: Prevention strategies targeting diabetics, hypertensives, males, and those at least 60 years old would reduce mortality from COVID-19 in the Tambacounda region.
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