Kaori Ueda1, Akiko Miki2, Shunichiro Nakai1, Suiho Yanagisawa3, Koji Nomura3, Makoto Nakamura1. 1. Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan. 2. Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan. acacyey@med.kobe-u.ac.jp. 3. Department of Ophthalmology, Hyogo Prefectural Kobe Children's Hospital, Kobe, Japan.
Abstract
PURPOSE: To retrospectively investigate the sensitivity and specificity of weight gain, insulin-like growth factor 1, and neonatal retinopathy of prematurity (WINROP) algorithm for the prediction of severe retinopathy of prematurity (ROP) in a Japanese population of preterm infants. The WINROP algorithm is a tool based on postnatal weight gain. STUDY DESIGN: Retrospective cohort study. METHODS: The medical records of preterm infants born between January 2011 and March 2017 were retrospectively reviewed. Infants born after 33 weeks of gestation were excluded based on the indications of the WINROP algorithm. Postnatal weight was recorded weekly on the WINROP system until postmenstrual week 36. The sensitivity and specificity of the WINROP algorithm were analyzed. RESULTS: In total, 278 infants were included in this study. Based on the WINROP algorithm 110 of these infants were predicted to be at low risk for developing severe ROP and 105 did not develop severe ROP. Based on the WINROP algorithm 168 infants were predicted to be at high risk for developing severe ROP and 27 developed severe ROP. Thus, the sensitivity of the WINROP algorithm was 84.4% and the specificity 42.7%. CONCLUSION: The WINROP algorithm could be used for preterm infants (gestational age of <28 weeks) without a complicated hospital course. Modification of the algorithm will improve its sensitivity and specificity for the Japanese population.
PURPOSE: To retrospectively investigate the sensitivity and specificity of weight gain, insulin-like growth factor 1, and neonatal retinopathy of prematurity (WINROP) algorithm for the prediction of severe retinopathy of prematurity (ROP) in a Japanese population of preterm infants. The WINROP algorithm is a tool based on postnatal weight gain. STUDY DESIGN: Retrospective cohort study. METHODS: The medical records of preterm infants born between January 2011 and March 2017 were retrospectively reviewed. Infants born after 33 weeks of gestation were excluded based on the indications of the WINROP algorithm. Postnatal weight was recorded weekly on the WINROP system until postmenstrual week 36. The sensitivity and specificity of the WINROP algorithm were analyzed. RESULTS: In total, 278 infants were included in this study. Based on the WINROP algorithm 110 of these infants were predicted to be at low risk for developing severe ROP and 105 did not develop severe ROP. Based on the WINROP algorithm 168 infants were predicted to be at high risk for developing severe ROP and 27 developed severe ROP. Thus, the sensitivity of the WINROP algorithm was 84.4% and the specificity 42.7%. CONCLUSION: The WINROP algorithm could be used for preterm infants (gestational age of <28 weeks) without a complicated hospital course. Modification of the algorithm will improve its sensitivity and specificity for the Japanese population.
Entities:
Keywords:
Premature infants; Retinopathy of prematurity; WINROP
Authors: Juraj Timkovic; Martina Pokryvkova; Katerina Janurova; Denisa Barinova; Renata Polackova; Petr Masek Journal: Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub Date: 2016-12-13 Impact factor: 1.245
Authors: Jennifer L Jung; Brandie D Wagner; Emily A McCourt; Alan G Palestine; Ashlee Cerda; Jennifer H Cao; Robert W Enzenauer; Jasleen K Singh; Rebecca S Braverman; Erica Wymore; Anne M Lynch Journal: J AAPOS Date: 2017-05-12 Impact factor: 1.220
Authors: Luz Consuelo Zepeda-Romero; Anna-Lena Hård; Larissa Maria Gomez-Ruiz; Jose Alfonso Gutierrez-Padilla; Eusebio Angulo-Castellanos; Juan Carlos Barrera-de-Leon; Juan Manuel Ramirez-Valdivia; Cesareo Gonzalez-Bernal; Claudia Ivette Valtierra-Santiago; Esperanza Garnica-Garcia; Chatarina Löfqvist; Ann Hellström Journal: Arch Ophthalmol Date: 2012-06
Authors: Pia Lundgren; Elisabeth Stoltz Sjöström; Magnus Domellöf; Karin Källen; Gerd Holmström; Anna-Lena Hård; Lois E Smith; Chatarina Löfqvist; Ann Hellström Journal: PLoS One Date: 2013-09-12 Impact factor: 3.240