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Glob J Health Sci ; 7(4): 217-34, 2015 Jan 14.
Artigo em Inglês | MEDLINE | ID: mdl-25946927

RESUMO

OBJECTIVE: To describe characteristics and outcomes of Jordanian newborns admitted to a large governmental neonatal intensive care unit (NICU). METHODS: Newborns born at the government hospital, Al Bashir, in Amman, Jordan were prospectively enrolled. The study focused on newborns admitted to the NICU and a retrospective chart review was performed. Abstraction included in-hospital mortality, antibiotic days, ventilation, oxygen use, and CRP levels. Rank sum and chi-squared tests were used to compare across outcomes. Logistic regression of hypothesized risk factors with death adjusted for gestational age. RESULTS: Of the 5,466 neonates enrolled from 2/10-2/11, medical records were available for 321/378(84.9%) infants admitted to the NICU. The median gestational age was 36 weeks, median birth weight was 2.3 kg, and 28(8.7%) infants died. The two most common reasons for admission and mortality were respiratory distress syndrome and prematurity. Low Apgar scores and positive CRP were predictors of mortality. Risk factors associated with increased use of antibiotics, oxygen hood, and mechanical ventilation included lower gestational age and prematurity. CONCLUSION: Infants admitted to the Jordanian NICU have significantly higher median gestational age and birth weights than in developed countries and were associated with significant morbidity and mortality. Continuations of global efforts to prevent prematurity are needed.


Assuntos
Hospitais Públicos/estatística & dados numéricos , Unidades de Terapia Intensiva Neonatal/estatística & dados numéricos , Avaliação de Resultados da Assistência ao Paciente , Estudos de Coortes , Feminino , Mortalidade Hospitalar , Humanos , Recém-Nascido de Baixo Peso , Recém-Nascido , Recém-Nascido Prematuro , Jordânia , Tempo de Internação/estatística & dados numéricos , Masculino , Razão de Chances , Oxigenoterapia/estatística & dados numéricos , Estudos Prospectivos , Respiração Artificial/estatística & dados numéricos , Fatores de Risco
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