ArticleClinics (Sao Paulo, Brazil)2011
Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit.
Article in Clinics (Sao Paulo, Brazil), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Neonatal bedside laparotomy in the UK: a multidisciplinary survey of practice and perceptions.Pediatric surgery international · 2026Article
- Adverse events and clinical risk factors during intrahospital transport of critically ill neonates: a prospective pilot study at a tertiary center in Vietnam.Frontiers in pediatrics · 2026Article
- Case Report: Comprehensive management of bedside ligation of patent ductus arteriosus in an extremely low birth weight infant.Frontiers in cardiovascular medicine · 2026Article
- Assessment of neonatal referral infrastructure and clinical characteristics of referred neonates in three first referral hospitals in Nairobi County, Kenya.Wellcome open research · 2023Article
- Pneumological research in Clinics.Clinics (Sao Paulo, Brazil) · 2012Article
- The interfacility transport of critically ill newborns.Paediatrics & child healthArticle
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6 authors.
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Abstract
objectiveTo develop and validate a predictive score for clinical complications during intra-hospital transport of infants treated in neonatal units.
methodsThis was a cross-sectional study nested in a prospective cohort of infants transported within a public university hospital from January 2001 to December 2008. Transports during even (n=301) and odd (n = 394) years were compared to develop and validate a predictive score. The points attributed to each score variable were derived from multiple logistic regression analysis. The predictive performance and the score calibration were analyzed by a receiver operating characteristic (ROC) curve and Hosmer-Lemeshow test, respectively.
resultsInfants with a mean gestational age of 35 ± 4 weeks and a birth weight of 2457 ± 841 g were studied. In the derivation cohort, clinical complications occurred in 74 (24.6%) transports. Logistic regression analysis identified five variables associated with these complications and assigned corresponding point values: gestation at birth [<28 weeks (6 pts); 28-34 weeks (3 pts); >34 weeks (2 pts)]; pre-transport temperature [<36.3°Cor >37°C(3pts); 36.3-37.0°C (2 pts)]; underlying pathological condition [CNS malformation (4 pts); other (2 pts)]; transport destination [surgery (5 pts); magnetic resonance or computed tomography imaging (3 pts); other (2 pts)]; and pre-transport respiratory support [mechanical ventilation (8 pts); supplemental oxygen (7 pts); no oxygen (2 pts)]. For the derivation and validation cohorts, the areas under the ROC curve were 0.770 and 0.712, respectively. Expected and observed frequencies of complications were similar between the two cohorts.
conclusionThe predictive score developed and validated in this study presented adequate discriminative power and calibration. This score can help identify infants at risk of clinical complications during intra-hospital transports.
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