Risk Factors and Prediction Models for Retinopathy of Prematurity
- Author:
Mallika Premsenthil
;
Mohamad Aziz Salowi
;
Mohamad Adam Bujang
;
Adeline Kueh
;
Chong Min Siew
;
Kala Sumugam
;
Chan Lee Gaik
;
Tan Aik Kah
- Publication Type:Journal Article
- Keywords:
model;
prematurity;
prediction;
risk;
retinopathy
- From:Malaysian Journal of Medical Sciences
2015;22(5):57-63
- CountryMalaysia
- Language:English
-
Abstract:
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.
- Full text:P020150907356138871900.pdf
