[ XXXX and @entity3147 as two independent risk factors of @entity204 in a Senegalese pediatric hospital.]

@entity1 @entity2700 @entity3147 @entity204 @entity5653
UNASSIGNED: Inpatient mortality is an indicator of the quality of care. We analyzed the mortality of under 5-year-old hospitalized @entity1 in the pediatric ward of Aristide Le Dantec Hospital for updating our data 10 years after our first study. METHODS: We analyzed the data of the @entity1 hospitalized between 1  January and 31  December 2012. For each @entity1 , we collected anthropometric measurements converted to a z-score related to World Health Organization growth data. Logistic regression-generating models built separately with different anthropometric parameters were used to assess the risk of mortality according to @entity1 's characteristics. RESULTS: Data from 393 @entity1 were included. The overall mortality rate was 10% (39/393). Using logistic regression, the risk factors associated with @entity204 were severe @entity5653 (odds ratio [OR]=8.27; 95% confidence interval [95% CI]) [3.79-18], male gender (OR=2.98; 95% CI [1.25-7.1]), @entity2700 (OR=5.4; 95% CI [2.54-13.43]) in the model using the weight-for-height z-score; male gender (OR=2.5; 95% CI [1.11-5.63]), @entity2700 (OR=8.43; 95% CI [3.83-18.5]) in the model using the height-for-age z-score; male gender (OR=2.7; 95% CI [1.19-6.24]), @entity2700 (OR=7.5; 95% CI [3.39-16.76]), severe deficit in the weight-for-age z-score (OR=2.4; 95% CI [1.11-5.63]) in the model using the weight-for-age z-score; and male gender (OR=2.5; 95% CI [1.11-5.63]) and @entity2700 (OR=8.43; 94% CI [3.83-18.5]) in the last model with mid-upper arm circumference (MUAC). @entity2700 and @entity3147 were two independent risk factors of @entity204 . The protocols addressing @entity2700 and @entity3147 management should be audited and performed systematically for each @entity1 's anthropometric measurements at admission.
