Huiqing Sun1, Yubin Dong2, Yanxia Liu3, Qingqin Chen4, Yanxi Wang5, Bin Cheng6, Shaobo Qin7, Liping Meng8, Shanxiu Li9, Yanlun Zhang10, Aiguo Zhang11, Weiling Yan12, Yuhong Dong13, Shuyi Cheng14, Mingchao Li15, Zengyuan Yu15. 1. Department of Neonatology, Children's Hospital of Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhuwaihuan Road, Zhengzhou, 450018, China. s_huiqing@sina.com. 2. Department of Neonatology, Zhoukou Central Hospital, Zhoukou, China. 3. Department of Neonatology, Pingdingshan People's Hospital NO.1, Pingdingshan, China. 4. Department of Neonatology, Xinmi Maternal and Child Health Hospital, Zhengzhou, China. 5. Department of Neonatology, Zhoukou Yongshan Hospital, Zhoukou, China. 6. Department of Neonatology, Xihua People's Hospital, Zhoukou, China. 7. Department of Neonatology, Pingyu People's Hospital, Zhumadian, China. 8. Department of Neonatology, Jiaozuo Second People's Hospital, Jiaozuo, China. 9. Department of Neonatology, Pingdingshan Pingmei General Hospital, Pingdingshan, China. 10. Department of Neonatology, Pingdingshan Maternal and Child Health Hospital, Pingdingshan, China. 11. Department of Neonatology, Jiyuan People's Hospital, Jiyuan, China. 12. Department of Neonatology, Xinzheng People's Hospital, Zhengzhou, China. 13. Department of Neonatology, Sanmenxia Central Hospital, Sanmenxia, China. 14. Department of Neonatology, Biyang People's Hospital, Zhumadian, China. 15. Department of Neonatology, Children's Hospital of Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, 33 Longhuwaihuan Road, Zhengzhou, 450018, China.
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.
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 humanparticipants were reported. Thus, registration was not required and this study followed STROBE guidelines.
Entities:
Keywords:
Preterm infant; Retinopathy of prematurity; Score
Authors: A Pérez-Muñuzuri; J R Fernández-Lorenzo; M L Couce-Pico; M J Blanco-Teijeiro; J M Fraga-Bermúdez Journal: Acta Paediatr Date: 2010-01-18 Impact factor: 2.299