Neonatology · 2013
The use of the WINROP screening algorithm for the prediction of retinopathy of prematurity in a Chinese population.
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Sun Huiqing, Kang Wengqing, Cheng Xiuyong, Chen Chao, Xiong Hong, Guo Jing, Zhou Chongchen, Zhang Yinghui, Hellström Ann, Löfqvist Chatarina, Zhu Changlian
Аннотация
BACKGROUND: Retinopathy of prematurity (ROP) is a gestational age (GA)-related illness that can lead to blindness in premature infants. Timely screening of premature infants could improve visual prognosis.
OBJECTIVE: To evaluate the WINROP algorithm as a method of predicting severe ROP in a Chinese population.
METHODS: 590 infants with a GA <32 weeks were entered into an online surveillance system (www.winrop.com) that included ROP evaluations and weekly weight measurements from birth to a corrected GA of 40 weeks. If the rate of weight gain decreased to a certain degree, the algorithm signaled an alarm that the infant was at risk for developing sight-threatening ROP. Each infant was categorized as having no, mild, or severe ROP.
RESULTS: Among the 590 infants with a GA <32 weeks, an alarm was triggered in 85 infants (14.4%), 50 of which developed severe ROP and were identified in this alarm group. Twenty-seven infants triggered the alarm signal in the first week after birth and 7 infants triggered the alarm at birth. Seven of the infants developed proliferative ROP and the median GA at birth for these infants was 31 weeks.
CONCLUSIONS: The WINROP system had a sensitivity of 87.5% in a Chinese population for the early identification of infants that developed severe ROP. Postnatal weight gain may help predict ROP in lower birth weight infants.
OBJECTIVE: To evaluate the WINROP algorithm as a method of predicting severe ROP in a Chinese population.
METHODS: 590 infants with a GA <32 weeks were entered into an online surveillance system (www.winrop.com) that included ROP evaluations and weekly weight measurements from birth to a corrected GA of 40 weeks. If the rate of weight gain decreased to a certain degree, the algorithm signaled an alarm that the infant was at risk for developing sight-threatening ROP. Each infant was categorized as having no, mild, or severe ROP.
RESULTS: Among the 590 infants with a GA <32 weeks, an alarm was triggered in 85 infants (14.4%), 50 of which developed severe ROP and were identified in this alarm group. Twenty-seven infants triggered the alarm signal in the first week after birth and 7 infants triggered the alarm at birth. Seven of the infants developed proliferative ROP and the median GA at birth for these infants was 31 weeks.
CONCLUSIONS: The WINROP system had a sensitivity of 87.5% in a Chinese population for the early identification of infants that developed severe ROP. Postnatal weight gain may help predict ROP in lower birth weight infants.
Предметные рубрики MeSH
AlgorithmsAsian PeopleBiomarkersBirth WeightChinaDiagnosis, Computer-AssistedFemaleGestational AgeHumansInfant, Low Birth WeightInfant, NewbornInfant, PrematureInsulin-Like Growth Factor IInternetMaleNeonatal ScreeningPredictive Value of TestsPrognosisRetinopathy of PrematurityRisk AssessmentRisk FactorsSeverity of Illness IndexWeight Gain