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首页> 外文期刊>International journal of infectious diseases : >Predictors of severe hypoxemia among COVID-19 patients in Burkina Faso (West Africa): Findings from hospital based cross-sectional study
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Predictors of severe hypoxemia among COVID-19 patients in Burkina Faso (West Africa): Findings from hospital based cross-sectional study

机译:Covid-19患者中严重低氧血症预测因子(西非)(西非):基于医院的横截面研究的研究结果

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Introduction COVID-19 is one of the world’s major health crises. The objective of this study was to determine the predictive factors of severe hypoxemia in patients hospitalized in COVID-19 health facilities in Burkina Faso. Patients and method This study was a hospital-based cross-sectional study. The data collected relate to the period of the first wave of the epidemic (March 9 to June 30, 2020). All patients hospitalized for COVID-19 in the requisitioned health facilities of Ouagadougou were included in this study. Predictors of severe hypoxemia were identified using a multivariate logistic regression model. Results During the study period, 442 patients were included, representing 45.7% of the total number of positive patients in the entire country. The most common co-morbidities were diabetes (55; 12.4%) and arterial hypertension (97; 21.9%). Severe hypoxemia (SpO2 90%) was observed in 64 patients (14.5%). Age over 65 years (OR = 8.24; 95% CI: 2.83–24.01) and diabetes (OR = 2.43; 95% CI: 1.17–5.06) were the predictors for occurrence of severe hypoxemia in multivariate analysis. Conclusion The predictive factors of COVID-19 are similar in African and Caucasian populations. The surveillance of COVID-19 in risk groups should be strengthened to reduce their morbidity and mortality.
机译:简介Covid-19是世界上主要的健康危机之一。本研究的目的是确定在Burkina Faso的Covid-19卫生设施住院患者的严重低氧血症的预测因素。患者和方法本研究是一项基于医院的横截面研究。收集的数据与流行病的第一波(3月9日至6月30日)相关的数据有关。在本研究中纳入瓦加杜古的征用健康设施中,所有为Covid-19住院的患者都被纳入本研究。使用多元逻辑回归模型鉴定严重低氧血症的预测因素。结果在研究期间,包括442名患者,占整个国家/地区阳性患者总数的45.7%。最常见的辅病态是糖尿病(55; 12.4%)和动脉高血压(97; 21.9%)。在64名患者中观察到严重的低氧血症(SPO2< 90%)(14.5%)。年龄超过65岁(或= 8.24; 95%CI:2.83-24.01)和糖尿病(或= 2.43; 95%CI:1.17-5.06)是多元分析中严重低氧血症发生的预测因子。结论Covid-19的预测因素在非洲和高加索人群中类似。应加强Covid-19在风险群体中的监测,以降低其发病率和死亡率。

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