Retinopathy of Prematurity

Ahmedhussain, Huda Khalid; Khayyat, Waleed; Aldhahwani, Bashaer M; Aljuwaybiri, Abdullah Omar; Badeeb, Nooran; Khan, Muhammad Anwar; AlQurashi, Mansour A; Almarzouki, Hashem

doi:10.4103/jcn.jcn_171_20

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…21 Additionally, studies from Saudi Arabia reported their prevalence to fall between 21.8% and 33.3%, out of which 80% of the cases resolved spontaneously without any treatment, and only 8.3% of the children received any interventional treatment. 22,23 The rationale for conducting a review article on the prevalence, screening, and treatment of ROP lies in the critical importance of addressing this potentially sightthreatening condition that primarily affects premature infants. ROP is a leading cause of blindness in neonates and given the increasing survival rates of extremely premature babies in neonatal intensive care units, the incidence and significance of ROP continue to rise.…”

Section: Introductionmentioning

confidence: 99%

Retinopathy of prematurity: prevalence, screening and treatment

Alnahdi,

Althemairi,

Al-Qahtani

et al. 2023

Int J Community Med Public Health

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Retinopathy of prematurity (ROP) is a serious ocular condition arising from improper blood vessel development in the retina, predominantly affecting infants born prematurely or with a birth weight under 1500 g. A global estimate from 2010 indicated that approximately 184,700 infants developed ROP, with around 50,000 progressing to severe stages, yet only 42% received treatment. This article undertakes a thorough review, commencing on 07th November 2023, leveraging databases like Pubmed and Cochrane to synthesize current knowledge and emerging trends in ROP prevalence, screening methodologies, and treatment options. Screening involves repeated eye exams and innovative tools to identify high-risk infants early on. Treatment approaches, encompassing cryotherapy, laser therapy, and anti-VEGF (vascular endothelial growth factor) medications, are tailored to the severity of ROP. Rigorous follow-up assessments are pivotal for tracking progress and ensuring the welfare of infants undergoing ROP interventions. This comprehensive exploration seeks to enhance awareness and understanding of ROP's global prevalence, screening protocols, and evolving treatments, ultimately contributing to informed decision-making and the advancement of best practices in the early identification and management of ROP among premature infants.

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Section: Introductionmentioning

confidence: 99%

Retinopathy of prematurity: prevalence, screening and treatment

Alnahdi,

Althemairi,

Al-Qahtani

et al. 2023

Int J Community Med Public Health

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“…In Saudi Arabia, ROP incidence ranges from 23% to 56%. 3 - 7 Preterm infants that are primarily at highest risk for ROP are those with very low birth weight (BW, approximately ≤1500 g) or gestational age (GA, those born at or before 30 weeks). 8 Accordingly, an infant who is smaller or younger at birth is expected to have a greater likelihood of developing ROP.…”

Section: Introductionmentioning

confidence: 99%

“…These factors included mechanical ventilation use, blood transfusion, and poor weight gain (WG) in the initial weeks of life. 3 , 5 …”

Section: Introductionmentioning

confidence: 99%

Jeddah Retinopathy of Prematurity (JED-ROP) Screening Algorithm

Raffa,

Alamri,

Alosaimi

et al. 2023

Global Pediatric Health

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Background. The Jeddah retinopathy of prematurity (JED-ROP) algorithm, which is more specific to the population in Saudi Arabia, was established to decrease the number of infants screened without missing type 1 ROP cases. Methods. The data reviewed were birth weight (BW), gestational age (GA), weekly postnatal weight gain (PWG), and relevant perinatal risk factors. The sensitivities and specificities for detecting type 1 ROP were calculated. Results. Of the 502 infants included in the study, 148 developed ROP. The JED-ROP algorithm demonstrated 100% sensitivity and 38.9% specificity for recommending the screening of infants with GA ≤30 weeks and BW <1501 g and blood transfused <6 weeks and/or 3-week PWG <100 g in the type 1 ROP group. Conclusion. The JED-ROP algorithm can reduce the number of infants requiring ROP screening by 35.7% without missing type 1 ROP. The algorithm can be an adjunct to current national screening guidelines.

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Validation of three weight gain-based algorithms as a screening tool to detect retinopathy of prematurity: A multicenter study

Raffa

Alamri

Alosaimi

et al. 2023

Indian Journal of Ophthalmology

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Purpose: Screening guidelines for retinopathy of prematurity (ROP) are updated frequently to help clinicians identify infants at risk of type 1 ROP. This study aims to evaluate the accuracy of three different predictive algorithms—WINROP, ROPScore, and CO-ROP—in detecting ROP in preterm infants in a developing country. Methods: This retrospective study was conducted on 386 preterm infants from two centers between 2015 and 2021. Neonates with gestational age ≤30 weeks and/or birth weight ≤1500 g who underwent ROP screening were included. Results: One hundred twenty-three neonates (31.9%) developed ROP. The sensitivity to identify type 1 ROP was as follows: WINROP, 100%; ROPScore, 100%; and CO-ROP, 92.3%. The specificity was 28% for WINROP, 1.4% for ROPScore, and 19.3% for CO-ROP. CO-ROP missed two neonates with type 1 ROP. WINROP provided the best performance for type 1 ROP with an area under the curve score at 0.61. Conclusion: The sensitivity was at 100% for WINROP and ROPScore for type 1 ROP; however, specificity was quite low for both algorithms. Highly specific algorithms tailored to our population may serve as a useful adjunctive tool to detect preterm infants at risk of sight-threatening ROP.

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Retinopathy of Prematurity

Cited by 3 publications

References 23 publications

Retinopathy of prematurity: prevalence, screening and treatment

Retinopathy of prematurity: prevalence, screening and treatment

Jeddah Retinopathy of Prematurity (JED-ROP) Screening Algorithm

Validation of three weight gain-based algorithms as a screening tool to detect retinopathy of prematurity: A multicenter study

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