Cover Image

Risk Factors and Prediction Models for Retinopathy of Prematurity

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 (Januar...

Full description

Saved in:
Bibliographic Details
Main Authors: Mallika, Premsenthil, Tan, Aik Kah
Format: Article
Language:English
Published: Universiti Sains Malaysia, 2015
Subjects:
R Medicine (General)
Online Access:http://ir.unimas.my/id/eprint/10727/1/Mallika.pdf
http://ir.unimas.my/id/eprint/10727/
http://www.scopus.com/inward/record.url?eid=2-s2.0-84940741067&partnerID=40&md5=3eab0f6f1b5953e4d15e86cfff543a93
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir.10727
record_format eprints
spelling my.unimas.ir.107272022-01-28T02:10:39Z http://ir.unimas.my/id/eprint/10727/ Risk Factors and Prediction Models for Retinopathy of Prematurity Mallika, Premsenthil Tan, Aik Kah R Medicine (General) 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. Universiti Sains Malaysia, 2015 Article PeerReviewed text en http://ir.unimas.my/id/eprint/10727/1/Mallika.pdf Mallika, Premsenthil and Tan, Aik Kah (2015) Risk Factors and Prediction Models for Retinopathy of Prematurity. Malaysian Journal Medical Science, 22 (5). pp. 57-63. ISSN 2180-4303 http://www.scopus.com/inward/record.url?eid=2-s2.0-84940741067&partnerID=40&md5=3eab0f6f1b5953e4d15e86cfff543a93
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Mallika, Premsenthil
Tan, Aik Kah
Risk Factors and Prediction Models for Retinopathy of Prematurity
description 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.
format Article
author Mallika, Premsenthil
Tan, Aik Kah
author_facet Mallika, Premsenthil
Tan, Aik Kah
author_sort Mallika, Premsenthil
title Risk Factors and Prediction Models for Retinopathy of Prematurity
title_short Risk Factors and Prediction Models for Retinopathy of Prematurity
title_full Risk Factors and Prediction Models for Retinopathy of Prematurity
title_fullStr Risk Factors and Prediction Models for Retinopathy of Prematurity
title_full_unstemmed Risk Factors and Prediction Models for Retinopathy of Prematurity
title_sort risk factors and prediction models for retinopathy of prematurity
publisher Universiti Sains Malaysia,
publishDate 2015
url http://ir.unimas.my/id/eprint/10727/1/Mallika.pdf
http://ir.unimas.my/id/eprint/10727/
http://www.scopus.com/inward/record.url?eid=2-s2.0-84940741067&partnerID=40&md5=3eab0f6f1b5953e4d15e86cfff543a93
_version_ 1724078478305787904
score 13.211869

Similar Items