{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T14:13:23Z","timestamp":1792073603167,"version":"4.4.0"},"reference-count":37,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2016,6,20]],"date-time":"2016-06-20T00:00:00Z","timestamp":1466380800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Ophthalmologica"],"published-print":{"date-parts":[[2017,3]]},"abstract":"Abstract<\/jats:title>Purpose<\/jats:title>To evaluate sensitivity, specificity and the safest cut\u2010offs of three predictive algorithms (WINROP<\/jats:styled-content>, ROPS<\/jats:styled-content>core and CHOP ROP<\/jats:styled-content>) for retinopathy of prematurity (ROP<\/jats:styled-content>).<\/jats:p><\/jats:sec>Methods<\/jats:title>A retrospective study was conducted in three centres from 2012 to 2014; 445 preterms with gestational age (GA<\/jats:styled-content>)\u00a0\u2264\u00a030\u00a0weeks and\/or birthweight (BW<\/jats:styled-content>)\u00a0\u2264\u00a01500\u00a0g, and additional unstable cases, were included. No\u2010ROP<\/jats:styled-content>, mild and type 1 ROP<\/jats:styled-content> were categorized. The algorithms were analysed for infants with all parameters (GA<\/jats:styled-content>, BW<\/jats:styled-content>, weight gain, oxygen therapy, blood transfusion) needed for calculation (399 babies).<\/jats:p><\/jats:sec>Results<\/jats:title>Retinopathy of prematurity (ROP) was identified in both eyes in 116 patients (26.1%), and 44 (9.9%) had type 1 ROP<\/jats:styled-content>. Gestational age and BW<\/jats:styled-content> were significantly lower in ROP<\/jats:styled-content> group compared with no\u2010ROP<\/jats:styled-content> subjects (GA<\/jats:styled-content>: 26.7\u00a0\u00b1\u00a02.2 and 30.2\u00a0\u00b1\u00a01.9, respectively, p\u00a0<\u00a00.0001; BW<\/jats:styled-content>: 839.8\u00a0\u00b1\u00a0287.0 and 1288.1\u00a0\u00b1\u00a0321.5\u00a0g, respectively, p\u00a0=\u00a00.0016). Customized alarms of ROPS<\/jats:styled-content>core and CHOP ROP<\/jats:styled-content> correctly identified all infants having any ROP<\/jats:styled-content> or type 1 ROP<\/jats:styled-content>. WINROP<\/jats:styled-content> missed 19 cases of ROP<\/jats:styled-content>, including three type 1 ROP<\/jats:styled-content>. ROPS<\/jats:styled-content>core and CHOP ROP<\/jats:styled-content> provided the best performances with an area under the receiver operating characteristic curve for the detection of severe ROP<\/jats:styled-content> of 0.93 (95% CI<\/jats:styled-content>, 0.90\u20130.96, and 95% CI<\/jats:styled-content>, 0.89\u20130.96, respectively), and WINROP<\/jats:styled-content> obtained 0.83 (95% CI<\/jats:styled-content>, 0.77\u20130.87). Median time from alarm to treatment was 11.1, 5.1 and 9.1\u00a0weeks, for WINROP<\/jats:styled-content>, ROPS<\/jats:styled-content>core and CHOP ROP<\/jats:styled-content>, respectively.<\/jats:p><\/jats:sec>Conclusion<\/jats:title>ROPS<\/jats:styled-content>core and CHOP ROP<\/jats:styled-content> showed 100% sensitivity to identify sight\u2010threatening ROP<\/jats:styled-content>. Predictive algorithms are a reliable tool for early identification of infants requiring referral to an ophthalmologist, for reorganizing resources and reducing stressful procedures to preterm babies.<\/jats:p><\/jats:sec>","DOI":"10.1111\/aos.13117","type":"journal-article","created":{"date-parts":[[2016,6,20]],"date-time":"2016-06-20T05:27:45Z","timestamp":1466400465000},"page":"158-164","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Predictive algorithms for early detection of retinopathy of prematurity"],"prefix":"10.1111","volume":"95","author":[{"given":"Stefano","family":"Piermarocchi","sequence":"first","affiliation":[{"name":"Department of Ophthalmology University of Padova Padova Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvia","family":"Bini","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology University of Padova Padova 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