Validation of the postnatal growth and retinopathy of prematurity screening criteria: A retrospective Italian analysis

2021 ◽  
pp. 112067212110113
Author(s):  
Samuele Caruggi ◽  
Matteo Scaramuzzi ◽  
Maria Grazia Calevo ◽  
Enrico Priolo ◽  
Lorenza Sposetti ◽  
...  

Purpose: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness. The aim of our study is to validate the new screening criteria elaborated by the Postnatal Growth and Retinopathy of Prematurity (G-ROP) study group in a monocentric cohort of Italian preterm infants. Methods: We retrospectively applied the G-ROP screening criteria to a cohort of preterm infants born between May 2015 and July 2020 with known birth weight, gestational age, serial weight measurement, and known ROP outcome. Primary outcomes were sensitivity and specificity of ROP detection, especially of treatment requiring ROP. Secondary outcomes were reduction of ophthalmologic examinations and of infants requiring screening. Results: We retrospectively evaluated 595 children and 475 were included in our study. Of them, 119 developed any type ROP, 39 developed type 1 ROP, and 28 underwent treatment. G-ROP criteria predicted 39 of 39 cases of type 1 ROP (100% sensitivity and specificity). Sensitivity and specificity for detection of treated ROP were 100%. Considering any type ROP detection, sensitivity was 87.4% and specificity was 100%. Our analysis showed that screening could be avoided in 50% of patients, resulting in a 29% reduction of the number of examinations. Conclusions: Our study validates the new G-ROP screening protocol in a monocentric cohort of premature infants. We demonstrate that all Type 1 ROP and requiring treatment ROP could be found even with a reduction of eye examinations.

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Nithursa Vinayahalingam ◽  
Jane McDougall ◽  
Olaf Ahrens ◽  
Andreas Ebneter

Abstract Background Currently used screening criteria for retinopathy of prematurity (ROP) show high sensitivity for predicting treatment-requiring ROP but low specificity; over 90% of examined infants do not develop ROP that requires treatment (type 1 ROP). A novel weight gain-based prediction model was developed by the G-ROP study group to increase the specificity of the screening criteria and keep the number of ophthalmic examinations as low as possible. This retrospective cohort study aimed to externally validate the G-ROP screening criteria in a Swiss cohort. Methods Data from 645 preterm infants in ROP screening at Inselspital Bern between January 2015 and December 2019 were retrospectively retrieved from the screening log and analysed. The G-ROP screening criteria, consisting of 6 trigger parameters, were applied in infants with complete data. To determine the performance of the G-ROP prediction model for treatment-requiring ROP, sensitivity and specificity were calculated. Results Complete data were available for 322 infants who were included in the analysis. None of the excluded infants had developed type 1 ROP. By applying the 6 criteria in the G-ROP model, 214 infants were flagged to undergo screening: among these, 14 developed type 1 ROP, 9 developed type 2 ROP, and 43 developed milder stages of ROP. The sensitivity for predicting treatment-requiring ROP was 100% (CI, 0.79–1.00), and the specificity was 41% (CI, 0.35 –0.47). Implementing the novel G-ROP screening criteria would reduce the number of infants entering ROP screening by approximately one third. Conclusions The overall prevalence of treatment-requiring ROP was low (2.15%). Previously published performance parameters for the G-ROP algorithm were reproducible in this Swiss cohort. Importantly, all treatment-requiring infants were correctly identified. By using these novel criteria, the burden of screening examinations could be significantly reduced.


2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Huiqing Sun ◽  
Yubin Dong ◽  
Yanxia Liu ◽  
Qingqin Chen ◽  
Yanxi Wang ◽  
...  

Abstract Purpose Retinopathy of prematurity (ROP) is a disease that causes vision loss, vision impairment, and blindness, most frequently manifesting among preterm infants. ROPScore and CHOP ROP (Children’s Hospital of Philadelphia ROP) are similar scoring models to predict ROP using risk factors such as postnatal weight gain, birth weight (BW), and gestation age (GA). The purpose of this study was to compare the accuracy and difference between using ROPScore and CHOP ROP for the early prediction of ROP. Methods A retrospective study was conducted from January 2009 to December 2019 in China. Patients eligible for enrollment included infants admitted to NICU at ≤32 weeks GA or those with ≤1500 g BW. The sensitivity and specificity of ROPScore and CHOP ROP were analyzed, as well as its suitability as an independent predictor of ROP. Results Severe ROP was found in 5.0% of preterm infants. The sensitivity and specificity of the ROPScore test at any stage of ROP was 55.8 and 77.8%, respectively. For severe ROP, the sensitivity and specificity was 50 and 87.0%, respectively. The area under the receiver operating characteristic curve for the ROPScore for predicting severe ROP was 0.76. This value was significantly higher than the values for birth weight (0.60), gestational age (0.73), and duration of ventilation (0.63), when each was category measured separately. For the CHOP ROP, it correctly predicted infants who developed type 1 ROP (sensitivity, 100%, specificity, 21.4%). Conclusions The CHOP ROP model predicted infants who developed type 1 ROP at a sensitivity of 100% whereas ROPScore had a sensitivity of 55.8%. Therefore, the CHOP ROP model is more suitable for Chinese populations than the ROPScore test. Clinical registration number and STROBE guidelines This article was a retrospective cohort study and reported the results of the ROPScore and CHOP ROP algorithms. No results pertaining to interventions on human participants were reported. Thus, registration was not required and this study followed STROBE guidelines.


2020 ◽  
pp. bjophthalmol-2020-316401
Author(s):  
Qian Yang ◽  
Xiaohong Zhou ◽  
Yingqin Ni ◽  
Haidong Shan ◽  
Wenjing Shi ◽  
...  

PurposesTo develop an optimised retinopathy of prematurity (ROP) screening guideline by adjusting the screening schedule and thresholds of gestational age (GA) and birth weight (BW).MethodsA multicentre retrospective cohort study was conducted based on data from four tertiary neonatal intensive care units in Shanghai, China. The medical records of enrolled infants, born from 2012 to 2016 who underwent ROP examinations, were collected and analysed. The incidence and risk factors for ROP were analysed in all infants. Postnatal age (PNA) and postmenstrual age (PMA) of infants, detected to diagnose ROP for the first time, were compared with the present examination schedule. The predictive performance of screening models was evaluated by internally validating sensitivity and specificity.ResultsOf the 5606 eligible infants, ROP was diagnosed in 892 (15.9%) infants; 63 (1.1%) of them received treatment. The mean GA of ROP patients was 29.4±2.4 weeks, and the mean BW was 1260±330 g. Greater prematurity was associated with an older PNA at which ROP developed. The minimum PMA and PNA at which diagnosis of treatable ROP occurred were 32.43 and 3 weeks, respectively. The optimised criteria (GA <32 weeks or BW <1600 g) correctly predicted 98.4% type 1 ROP infants, reducing the infants requiring examinations by 43.2% when internally validated.ConclusionsThe incidence of type 1 ROP and the mean GA and BW of ROP infants have decreased in China. The suggested screening threshold and schedule may be reliably used to guide the modification of ROP screening guideline and decrease medical costs.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ajay Anvekar ◽  
Sam Athikarisamy ◽  
Shripada Rao ◽  
Andy Gill ◽  
Elizabeth Nathan ◽  
...  

Abstract Background Poor weight gain in the first few weeks of life has been studied as a predictor of retinopathy of prematurity (ROP). Our aim was to assess whether time taken to regain birthweight (BW) be used as an additional marker to identify infants with type 1 ROP. Methods In this retrospective study, preterm infants (< 27 weeks gestational age at birth) born during the period from 1/1/2010–31/12/2015 at a tertiary neonatal intensive care unit in Australia were included. Twenty-seven preterm infants with Type 1 ROP were identified. Controls (No ROP or ROP other than type 1) were matched with cases on gestational age at birth and BW (1:4 ratio). Data were collected from the database and medical records. Results The median (IQR) gestational age for Type 1 ROP and control groups were 24 (24–26) and 25 (24–26) weeks respectively and median (IQR) BW for Type 1 ROP and control groups were 675 (635–810) and 773 (666–884) grams respectively. Preterm infants with Type 1 ROP were more likely to be small for gestational age (SGA) (18.5% vs 3.7%, p = 0.015) and had increased weeks on oxygen therapy (median 11.9 vs 9.1, p = 0.028). Time to regain BW was longer in preterm infants with type 1 ROP than controls but did not reach statistical significance (median 9 vs 7 days, OR 1.08, 95% CI 1.00–1.17, p = 0.059) adjusted for SGA and duration of oxygen therapy. The area under the curve from the time to regain BW model with adjustment for SGA and duration of oxygen therapy was 0.73 (95% CI 0.62–0.83). Conclusion We hypothesize that time to regain BW has potential to aid prediction of Type 1 ROP and this warrants further investigation in a larger prospective study.


2019 ◽  
Vol 16 (4) ◽  
pp. 250-259
Author(s):  
Nurhayati Abdul Kadir ◽  
Syed Shoeb Ahmad ◽  
Shuaibah Abdul Ghani ◽  
Mae-Lyn Catherine Bastion

Objective: To prospectively validate the WINROP (Weight, Insulin-like growth factor 1, Neonatal, Retinopathy of Prematurity) screening algorithm (www.winrop.com) based on longitudinal measurements of neonatal body weights in predicting the development of severe retinopathy of prematurity (ROP) among preterm infants admitted to the neonatal intensive care unit of a tertiary care center in East Malaysia. Methods: All premature infants of less than 32 weeks gestational age (GA) were included in this cohort. Their body weight was measured weekly from birth to 36 weeks postmenstrual age and entered into the computer-based surveillance system: WINROP. Infants were then classified by the system into high- or low-risk alarm group. The retinopathy findings were recorded according to Early Treatment for ROP criteria. However, the screening and management of infants were done according to the recommendations of the Continuous Practice Guidelines, Ministry of Health, Malaysia. The team members involved in screening and those recording the findings were kept blinded from each other. Results: A total of 151 infants with median GA at birth of 30 weeks (interquartile range [IQR] Å} 2.1) and mean birth weight of 1,264 g (standard deviation Å} 271) were analyzed. High-risk alarm was signaled in 85 (56.3%) infants and 9 (6.6%) infants developed type 1 ROP. One infant in the low-risk alarm group developed type 1 ROP requiring laser retinal photocoagulation. The median time lag from the high-risk alarm signal to the development of type 1 ROP was 10.4 (IQR Å} 8.4) weeks. Conclusion: In this cohort, the WINROP algorithm had a sensitivity of 90%, with negative predictive value of 98.5% (95% confidence interval) for detecting infants with type 1 ROP and was able to predict infants with ROP earlier than their due screening date. This study shows that a modified version of the WINROP algorithm aimed at specific populations may improve the outcome of this technique.


2017 ◽  
Vol 102 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Justin S Mora ◽  
Christopher Waite ◽  
Clare E Gilbert ◽  
Brenda Breidenstein ◽  
John J Sloper

BackgroundTo ascertain which countries in the world have retinopathy of prematurity (ROP) screening programmes and guidelines and how these were developed.MethodsAn email database was created and requests were sent to ophthalmologists in 141 nations to complete an online survey on ROP screening in their country.ResultsRepresentatives from 92/141 (65%) countries responded. 78/92 (85%) have existing ROP screening programmes, and 68/78 (88%) have defined screening criteria. Some countries have limited screening and those areas which have no screening or for which there is inadequate knowledge are mainly Southeast Asia, Africa and some former Soviet states.DiscussionWith the increasing survival of premature babies in lower-middle-income and low-income countries, it is important to ensure that adequate ROP screening and treatment is in place. This information will help organisations focus their resources on those areas most in need.


2018 ◽  
Vol 103 (5) ◽  
pp. 580-584 ◽  
Author(s):  
Travis K Redd ◽  
John Peter Campbell ◽  
James M Brown ◽  
Sang Jin Kim ◽  
Susan Ostmo ◽  
...  

BackgroundPrior work has demonstrated the near-perfect accuracy of a deep learning retinal image analysis system for diagnosing plus disease in retinopathy of prematurity (ROP). Here we assess the screening potential of this scoring system by determining its ability to detect all components of ROP diagnosis.MethodsClinical examination and fundus photography were performed at seven participating centres. A deep learning system was trained to detect plus disease, generating a quantitative assessment of retinal vascular abnormality (the i-ROP plus score) on a 1–9 scale. Overall ROP disease category was established using a consensus reference standard diagnosis combining clinical and image-based diagnosis. Experts then ranked ordered a second data set of 100 posterior images according to overall ROP severity.Results4861 examinations from 870 infants were analysed. 155 examinations (3%) had a reference standard diagnosis of type 1 ROP. The i-ROP deep learning (DL) vascular severity score had an area under the receiver operating curve of 0.960 for detecting type 1 ROP. Establishing a threshold i-ROP DL score of 3 conferred 94% sensitivity, 79% specificity, 13% positive predictive value and 99.7% negative predictive value for type 1 ROP. There was strong correlation between expert rank ordering of overall ROP severity and the i-ROP DL vascular severity score (Spearman correlation coefficient=0.93; p<0.0001).ConclusionThe i-ROP DL system accurately identifies diagnostic categories and overall disease severity in an automated fashion, after being trained only on posterior pole vascular morphology. These data provide proof of concept that a deep learning screening platform could improve objectivity of ROP diagnosis and accessibility of screening.


2018 ◽  
Vol 1 (1) ◽  
pp. 35-45
Author(s):  
Mirjana Vucinovic ◽  
Ljubo Znaor ◽  
Ana Vucinovic ◽  
Vesna Capkun ◽  
Julijana Bandic

PURPOSE: To study the incidence of retinopathy of prematurity (ROP) in a neonatal intensive care unit in Croatia and obtain information on risk factors associated with ROP. There have been limited studies on ROP in Croatia where the screening for ROP and its treatment is still insufficient and not introduced in many intensive care units. MATERIAL AND METHODS: This retrospective study included 247 premature infants admitted to the neonatal intensive care unit of University Hospital Split, over a 5-year period between January 2012, and December 2016. In this paper the relationship between clinical risk factors and the development of ROP was analyzed. RESULTS: The overall incidence for ROP was 23,9 % (59 infants), for Type 1 ROP was 9,3% (23 infants); for Type 2 ROP was 14,6% (36 infants). Median gestational age (GA) and birthweight (BW) were significantly lower among infants with ROP versus those without ROP (29: 23-34 vs. 31: 23-34,p<0,001 and 1,180:630-2,000 vs. 1485:590-2000, p<0,001 respectively). Multivariate analysis showed that only BW (p=0,029) and small for gestational age (SGA) (p=0,045) predicted the development of ROP. CONCLUSION: Birth weight and small for gestational age were the most significant risk factors for developing ROP. In comparison with studies from highly developed countries, infants with a much wider range of gestational age and birth weights are developing Type 1 ROP. 


2021 ◽  
pp. bjophthalmol-2021-319131
Author(s):  
Yong Cheng ◽  
Shuang Sun ◽  
Xun Deng ◽  
Xuemei Zhu ◽  
Dandan Linghu ◽  
...  

BackgroundData on serum vascular endothelial growth factor (VEGF) and drug levels in patients with retinopathy of prematurity (ROP) following intravitreal injections of conbercept (IVC) are lacking.MethodsMulticentre, prospective, non-randomised study of patients with aggressive posterior retinopathy of prematurity (APROP) or type 1 ROP who had not received other treatment. All infants received therapy in both eyes plus intravitreal IVC 0.25 mg/0.025 mL in one eye and had at least 6 months of follow-up. Blood samples were collected before and 1 week and 4 weeks after IVC. The main outcome measures were serum conbercept and VEGF concentrations.ResultsForty infants with APROP or type 1 ROP were enrolled. The mean serum VEGF at baseline and 1 week and 4 weeks after a total of 0.25 mg of IVC was 953.35±311.90 pg/mL, 303.46±181.89 pg/mL and 883.12±303.89 pg/mL, respectively. Serum VEGF 1 week after IVC was significantly lower (p<0.05) than baseline, and at 4 weeks after IVC, it was significantly higher (p<0.05) than at 1 week. There was no significant difference (p>0.05) between baseline and 4 weeks. Serum conbercept was below the limit of quantitation (BLOQ) at baseline and 4 weeks and was 19.81±7.60 ng/mL at 1 week.ConclusionSerum VEGF 1 week after IVC was significantly lower than baseline but returned to baseline at 4 weeks. Serum conbercept increased at 1 week and was BLOQ at 4 weeks.


Author(s):  
Tianyu Liu ◽  
Lauren A. Tomlinson ◽  
Gui-shuang Ying ◽  
Michael B. Yang ◽  
Gil Binenbaum

Sign in / Sign up

Export Citation Format

Share Document