Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit

OBJECTIVE: To develop and validate a predictive score for clinical complications during intra-hospital transport of infants treated in neonatal units. METHODS: This was a cross-sectional study nested in a prospective cohort of infants transported within a public university hospital from January 2001...

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Main Authors: Anna Luiza Pires Vieira, Amélia Miyashiro Nunes dos Santos, Mariana Kobayashi Okuyama, Milton Harumi Miyoshi, Maria Fernanda Branco de Almeida, Ruth Guinsburg
Format: Article
Language:English
Published: Elsevier España 2011-01-01
Series:Clinics
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322011000400009
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author Anna Luiza Pires Vieira
Amélia Miyashiro Nunes dos Santos
Mariana Kobayashi Okuyama
Milton Harumi Miyoshi
Maria Fernanda Branco de Almeida
Ruth Guinsburg
author_facet Anna Luiza Pires Vieira
Amélia Miyashiro Nunes dos Santos
Mariana Kobayashi Okuyama
Milton Harumi Miyoshi
Maria Fernanda Branco de Almeida
Ruth Guinsburg
author_sort Anna Luiza Pires Vieira
collection DOAJ
description OBJECTIVE: To develop and validate a predictive score for clinical complications during intra-hospital transport of infants treated in neonatal units. METHODS: This 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. RESULTS: Infants 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. CONCLUSION: The 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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spelling doaj.art-5e82a929b6a34c1b9bdbee35468453212022-12-22T01:19:18ZengElsevier EspañaClinics1807-59321980-53222011-01-0166457357710.1590/S1807-59322011000400009Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unitAnna Luiza Pires VieiraAmélia Miyashiro Nunes dos SantosMariana Kobayashi OkuyamaMilton Harumi MiyoshiMaria Fernanda Branco de AlmeidaRuth GuinsburgOBJECTIVE: To develop and validate a predictive score for clinical complications during intra-hospital transport of infants treated in neonatal units. METHODS: This 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. RESULTS: Infants 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. CONCLUSION: The 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322011000400009Risk indextransportation of patientsinfant newbornneonatal intensive care unitsrisk factors
spellingShingle Anna Luiza Pires Vieira
Amélia Miyashiro Nunes dos Santos
Mariana Kobayashi Okuyama
Milton Harumi Miyoshi
Maria Fernanda Branco de Almeida
Ruth Guinsburg
Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit
Clinics
Risk index
transportation of patients
infant newborn
neonatal intensive care units
risk factors
title Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit
title_full Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit
title_fullStr Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit
title_full_unstemmed Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit
title_short Predictive score for clinical complications during intra-hospital transports of infants treated in a neonatal unit
title_sort predictive score for clinical complications during intra hospital transports of infants treated in a neonatal unit
topic Risk index
transportation of patients
infant newborn
neonatal intensive care units
risk factors
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322011000400009
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