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Simplified prognostic model of overall intrahospital mortality of children in central Africa

机译:中部非洲儿童整体院内死亡率的简化预后模型

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OBJECTIVES: To find a simple mortality prediction model based on nutritional and infection indicators for the assessment of the care of children admitted to hospital in central Africa. METHOD: Cohort study of 414 children admitted at Goma Hospital between 1.4.2003 and 31.3.2004. We conducted univariate analysis and logistic regression, computed adjusted odds ratios and constructed a prognostic score from the coefficients of logistic regression. The performance of logistic model and score were evaluated by the calculation of areas under the ROC curves. RESULTS: The intrahospital mortality rate reached 15.9%. In univariate analysis, age, WAZ, arm circumference, neurological status (Blantyre coma score), stiff neck, subcostal indrawning, and infection were significantly associated with mortality. Logistic regression model analysis and adjusted odds ratios (AOR) confirmed higher risks of death for young (AOR 3.4 (1.4-8.8) and underweight children (WAZ -2->-3 and WAZ < or = -3, AOR 3.2 (1.4-7.6) and AOR 4.4(1.7-11.2)), for children with arm circumference under 115 mm (AOR 3.4 (1.5-7.3)), impaired consciousness (AOR 9.6 (3.1-29.9)) and bloodstream infections (AOR 6.6 (2.1-21.1)). The area under the ROC curve of the prognostic model is 0.83 (0.78-0.88), that of the prognostic score, 0.80 (0.75-0.86). CONCLUSION: This study provides a simple mortality prediction model for hospitalised children in central Africa, based on age, weight for age or arm circumference, neurological status (Blantyre coma score), and infection. This model and scoring system can be used to evaluate programs set up to reduce intrahospital mortality in this region.
机译:目的:找到一个基于营养和感染指标的简单死亡率预测模型,以评估中部非洲住院儿童的护理情况。方法:2003年1月1日至2004年3月31日在戈马医院收治的414名儿童的队列研究。我们进行了单变量分析和逻辑回归,计算了校正后的优势比,并根据逻辑回归系数构建了预后评分。通过计算ROC曲线下的面积来评估逻辑模型和得分的性能。结果:院内死亡率达到15.9%。在单变量分析中,年龄,WAZ,臂围,神经系统状况(Blantyre昏迷评分),颈部僵硬,肋下隐窝和感染与死亡率显着相关。 Logistic回归模型分析和调整后的优势比(AOR)证实了年轻(AOR 3.4(1.4-8.8)和体重不足儿童(WAZ -2->-3和WAZ <或= -3,AOR 3.2(1.4- 7.6)和AOR 4.4(1.7-11.2)),适用于臂围在115毫米以下(AOR 3.4(1.5-7.3)),意识障碍(AOR 9.6(3.1-29.9))和血液感染(AOR 6.6(2.1- 21.1))。预后模型的ROC曲线下面积为0.83(0.78-0.88),预后评分的ROC曲线下面积为0.80(0.75-0.86)。结论:本研究为中部地区住院儿童提供了简单的死亡率预测模型非洲,根据年龄,年龄或臂围的体重,神经系统状况(布兰太尔昏迷评分)和感染情况而定,该模型和评分系统可用于评估旨在降低该地区医院内死亡率的计划。

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