TY - JOUR
T1 - A risk scoring model to predict progression of retinopathy of prematurity for Indonesia
AU - Siswanto, Johanes Edy
AU - Adisasmita, Asri C.
AU - Ronoatmodjo, Sudarto
AU - Dijk, Peter H.
AU - Bos, Arend F.
AU - Manurung, Florence
AU - Sauer, Pieter J.J.
N1 - Funding Information:
This research was conducted at Harapan Kita Women and Children Hospital, Jakarta Eye Center. We would like to thank all doctors involved, especially the pediatric ophthalmologists Nani H. Widodo, MD, Habsyiyah, MD, and Andito K. Adisasmito, MD, who conducted the ophthalmological examination of the preterm infants included in this study. We thank Titia van Wulfften Palthe, Ph.D., for correcting and editing the English manuscript.
Publisher Copyright:
© 2023 Siswanto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2023/2
Y1 - 2023/2
N2 - Introduction Retinopathy of prematurity (ROP) is a serious eye disease in preterm infants. Generally, the progression of this disease can be detected by screening infants regularly. In case of progression, treatment can be instituted to stop the progression. In Indonesia, however, not all infants are screened because the number of pediatric ophthalmologists trained to screen for ROP and provide treatment is limited. Therefore, other methods are required to identify infants at risk of developing severe ROP. Objective To assess a scoring model’s internal and external validity to predict ROP progression in Indonesia. Method To develop a scoring model and determine its internal validity, we used data on 98 preterm infants with ROP who had undergone one or more serial eye examinations between 2009 and 2014. For external validation, we analyzed data on 62 infants diagnosed with ROP irrespective of the stage between 2017 and 2020. Patients stemmed from one neonatal unit and three eye clinics in Jakarta, Indonesia. Results We identified the duration of oxygen supplementation, gestational age, socio-economic status, place of birth, and oxygen saturation monitor setting as risk factors for developing ROP. We developed two models—one based on the duration of supplemental oxygen and one on the setting of the oxygen saturation monitor. The ROP risk and probabilistic models obtained the same sensitivity and specificity for progression to Type 1 ROP. The agreement, determined with the Kappa statistic, between the ROP risk model’s suitability and the probabilistic model was excellent. The external validity of the ROP risk model showed 100% sensitivity, 73% specificity, 76% positive predictive value, 100% negative predictive value, positive LR +3.7, negative LR 0, 47% pre-test probability, and 77% post-test probability. Conclusion The ROP risk scoring model can help to predict which infants with first-stage ROP might show progression to severe ROP and may identify infants who require referral to a pediatric ophthalmologist for treatment.
AB - Introduction Retinopathy of prematurity (ROP) is a serious eye disease in preterm infants. Generally, the progression of this disease can be detected by screening infants regularly. In case of progression, treatment can be instituted to stop the progression. In Indonesia, however, not all infants are screened because the number of pediatric ophthalmologists trained to screen for ROP and provide treatment is limited. Therefore, other methods are required to identify infants at risk of developing severe ROP. Objective To assess a scoring model’s internal and external validity to predict ROP progression in Indonesia. Method To develop a scoring model and determine its internal validity, we used data on 98 preterm infants with ROP who had undergone one or more serial eye examinations between 2009 and 2014. For external validation, we analyzed data on 62 infants diagnosed with ROP irrespective of the stage between 2017 and 2020. Patients stemmed from one neonatal unit and three eye clinics in Jakarta, Indonesia. Results We identified the duration of oxygen supplementation, gestational age, socio-economic status, place of birth, and oxygen saturation monitor setting as risk factors for developing ROP. We developed two models—one based on the duration of supplemental oxygen and one on the setting of the oxygen saturation monitor. The ROP risk and probabilistic models obtained the same sensitivity and specificity for progression to Type 1 ROP. The agreement, determined with the Kappa statistic, between the ROP risk model’s suitability and the probabilistic model was excellent. The external validity of the ROP risk model showed 100% sensitivity, 73% specificity, 76% positive predictive value, 100% negative predictive value, positive LR +3.7, negative LR 0, 47% pre-test probability, and 77% post-test probability. Conclusion The ROP risk scoring model can help to predict which infants with first-stage ROP might show progression to severe ROP and may identify infants who require referral to a pediatric ophthalmologist for treatment.
UR - http://www.scopus.com/inward/record.url?scp=85147457862&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0281284
DO - 10.1371/journal.pone.0281284
M3 - Article
C2 - 36735727
AN - SCOPUS:85147457862
SN - 1932-6203
VL - 18
JO - PloS one
JF - PloS one
IS - 2 February
M1 - e0281284
ER -