TY - JOUR
T1 - Risk Factors and Prediction Models for Retinopathy of Prematurity
AU - Prem Senthil, Mallika
AU - Salowi, Mohamad
AU - Bujang, Mohamad
AU - Kueh, Adeline
AU - Siew, Chong
AU - Sumugam, Kala
AU - Giaik, Chan
AU - Kah, Tan
PY - 2015
Y1 - 2015
N2 - Objectives: To develop a simple prediction model for the pre-screening of Retinopathy of Prematurity (ROP) among preterm babies. Methods: This was a prospective study. The test dataset (January 2007 until December 2010) was used to construct risk prediction models, and the validation dataset (January 2011 until March 2012) was used to validate the models developed from the test dataset. Two prediction models were produced using the test dataset based on logistic regression equations in which the development of ROP was used as the outcome. Results: The sensitivity and specificity for model 1 [gestational age (GA), birth weight (BW), intraventricular haemorrhage (IVH) and respiratory distress syndrome (RDS)] was 82 % and 81.7%, respectively; for model 2, (GA and BW) the sensitivity and specificity were 80.5% and 80.3%, respectively. Conclusion: Model 2 was preferable, as it only required two predictors (GA and BW). Our models can be used for the early prevention of ROP to avoid poor outcomes.
AB - Objectives: To develop a simple prediction model for the pre-screening of Retinopathy of Prematurity (ROP) among preterm babies. Methods: This was a prospective study. The test dataset (January 2007 until December 2010) was used to construct risk prediction models, and the validation dataset (January 2011 until March 2012) was used to validate the models developed from the test dataset. Two prediction models were produced using the test dataset based on logistic regression equations in which the development of ROP was used as the outcome. Results: The sensitivity and specificity for model 1 [gestational age (GA), birth weight (BW), intraventricular haemorrhage (IVH) and respiratory distress syndrome (RDS)] was 82 % and 81.7%, respectively; for model 2, (GA and BW) the sensitivity and specificity were 80.5% and 80.3%, respectively. Conclusion: Model 2 was preferable, as it only required two predictors (GA and BW). Our models can be used for the early prevention of ROP to avoid poor outcomes.
KW - Model
KW - Prediction
KW - Prematurity
KW - Retinopathy
KW - Risk
UR - http://www.bioline.org.br/pdf?mj15057
UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295742/
UR - http://www.scopus.com/inward/record.url?scp=84940741067&partnerID=8YFLogxK
M3 - Article
SN - 1394-195X
VL - 22
SP - 57
EP - 63
JO - The Malaysian Journal of Medical Sciences
JF - The Malaysian Journal of Medical Sciences
IS - 5
ER -