Ko Chia-Hung, Kuo Hsi-Kung, Chen Chih-Cheng, Chen Feng-Shun, Chen Yi-Hao, Huang Hsin-Chun, Fang Po-Chiung, Chung Mei-Yung
Department of Pediatrics Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Am J Perinatol. 2015 Feb;30(2):149-54. doi: 10.1055/s-0034-1376389. Epub 2014 Jun 10.
To study the efficacy of the WINROP (https://winrop.com) algorithm in Taiwan, a middle income, moderately developed country in Asia.
We enrolled all preterm infants born with a gestational age less than 32(+0) weeks from September 2008 to August 2010. The results of serial retinopathy of prematurity examinations according to the screening guidelines in our hospital were recorded. Weekly body weight was also recorded for the WINROP algorithm. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated.
Overall, 148 infants were included. Seventeen infants (11.5%) received treatment for retinopathy of prematurity. But, six infants (35.3%) were missed when severe retinopathy of prematurity was predicted with WINROP algorithm. The sensitivity is only 64.7%. However, when focusing on the preterm infants with a birth weight < 1,000 g or gestational age < 28 weeks, it could predict the need for treatment up to 13 weeks in advance.
The WINROP algorithm is a very effective noninvasive screening tool for retinopathy of prematurity, especially in preterm infants with a birth weight < 1,000 g or a gestational age < 28 weeks. However, the overall sensitivity in this report from Taiwan was not as high as that reported in highly developed countries.
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