Incidence of retinopathy of prematurity treatment in extremely preterm infants in China

Author(s):  
Yi Dai ◽  
Li Zhu ◽  
Yequn Zhou ◽  
Yanqiu Wu ◽  
Dongmei Chen ◽  
...  
Medicina ◽  
2021 ◽  
Vol 57 (5) ◽  
pp. 420
Author(s):  
Claudia Ioana Borțea ◽  
Florina Stoica ◽  
Marioara Boia ◽  
Emil Radu Iacob ◽  
Mihai Dinu ◽  
...  

Background and Objectives: Retinopathy of prematurity (ROP) is the leading cause of blindness in preterm infants. We studied the relationship between different perinatal characteristics, i.e., sex; gestational age (GA); birth weight (BW); C-reactive protein (CRP) and lactate dehydrogenase (LDH) concentrations; ventilation, continuous positive airway pressure (CPAP), and surfactant administration; and the incidence of Stage 1–3 ROP. Materials and Methods: This study included 247 preterm infants with gestational age (GA) < 32 weeks that were successfully screened for ROP. Univariate and multivariate binary analyses were performed to find the most significant risk factors for ROP (Stage 1–3), while multivariate multinomial analysis was used to find the most significant risk factors for specific ROP stages, i.e., Stage 1, 2, and 3. Results: The incidence of ROP (Stage 1–3) was 66.40% (164 infants), while that of Stage 1, 2, and 3 ROP was 15.38% (38 infants), 27.53% (68 infants), and 23.48% (58 infants), respectively. Following univariate analysis, multiple perinatal characteristics, i.e., GA; BW; and ventilation, CPAP, and surfactant administration, were found to be statistically significant risk factors for ROP (p < 0.001). However, in a multivariate model using the same characteristics, only BW and ventilation were significant ROP predictors (p < 0.001 and p < 0.05, respectively). Multivariate multinomial analysis revealed that BW was only significantly correlated with Stage 2 and 3 ROP (p < 0.05 and p < 0.001, respectively), while ventilation was only significantly correlated with Stage 2 ROP (p < 0.05). Conclusions: The results indicate that GA; BW; and the use of ventilation, CPAP, and surfactant were all significant risk factors for ROP (Stage 1–3), but only BW and ventilation were significantly correlated with ROP and specific stages of the disease, namely Stage 2 and 3 ROP and Stage 2 ROP, respectively, in multivariate models.


2020 ◽  
Vol 40 (3) ◽  
pp. 515-521
Author(s):  
Yousuke Imanishi ◽  
Katsuya Hirata ◽  
Masatoshi Nozaki ◽  
Narutaka Mochizuki ◽  
Shinya Hirano ◽  
...  

2015 ◽  
Vol 20 (5) ◽  
pp. e63-e63
Author(s):  
TM Luu ◽  
J Morin ◽  
R Superstein ◽  
F Lefebvre ◽  
MN Simard ◽  
...  

Author(s):  
Amy J. Sloane ◽  
Elizabeth A. O’Donnell ◽  
Amy B. Mackley ◽  
Julia E. Reid ◽  
Jay S. Greenspan ◽  
...  

2016 ◽  
Vol 80 (3) ◽  
pp. 401-406 ◽  
Author(s):  
Rowena Cayabyab ◽  
Vasudha Arora ◽  
Fiona Wertheimer ◽  
Manuel Durand ◽  
Rangasamy Ramanathan

JCI Insight ◽  
2020 ◽  
Vol 5 (19) ◽  
Author(s):  
Bertan Cakir ◽  
William Hellström ◽  
Yohei Tomita ◽  
Zhongjie Fu ◽  
Raffael Liegl ◽  
...  

Author(s):  
Raúl Fernández-Ramón

Introduction: WINROP (Weight, Insulin-like growth factor 1, Neonatal Retinopathy of Prematurity) is a computer-based ROP risk which correlate postnatal weight gain with the developed of treatment-requiring ROP. The purpose of this study was to evaluate the ability of the WINROP algorithm to detect severe (Type 1 or Type 2) ROP in a Spanish cohort of infants. Methods: Birth weight, gestational age, and weekly weight measurements of preterm infants (>23 and <32 weeks gestation) born between 2015 and 2017 were retrospectively collected and entered in WINROP algorithm. Infants were classified according alarm activation and compared with ROP screening outcomes. Sensitivity, specificity, and predictive values were calculated. Results: A total of 109 infants were included. The mean gestational age was 29.37 ± 2.26 weeks and mean birth weight was 1178 ± 320 g. Alarm occurred in 47.7 % (52/109) of neonates, with a mean time from birth to alarm of 1.9 ± 1.4 weeks. WINROP had a sensitivity of 100% (CI 95%, 59-100), a specificity of 55.9% (CI 95%, 45.7-65.7), a positive predictive value of 13.5% (CI 95%, 11.1-16.2) and a negative predictive value of 100% (CI 95%, 93.7-100) for predicting severe ROP. Conclusion: The WINROP algorithm has proven to be a useful tool in the detection of severe ROP in our cohort. Nevertheless, in extremely preterm infants (GA <28 weeks) the results should be taken with caution and an optimization of WINROP can be necessary to improve its utility in other populations.


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