Clinical characteristics and influencing factors of retinopathy of prematurity
10.3980/j.issn.1672-5123.2026.5.28
- VernacularTitle:早产儿视网膜病变临床特征及患病影响因素分析
- Author:
Ping MA
1
;
Xiangsheng WANG
1
;
DILIDALE
1
;
Xiangqian CAO
1
Author Information
1. Department of Ophthalmology and Otorhinolaryngology, Urumqi Maternal and Child Health Hospital, Urumqi 830000, Xinjiang Uygur Autonomous Region, China
- Publication Type:Journal Article
- Keywords:
premature infant;
retinopathy;
influencing factors;
nomogram;
fundus examination
- From:
International Eye Science
2026;26(5):905-912
- CountryChina
- Language:Chinese
-
Abstract:
AIM: To study the clinical characteristics and influencing factors of retinopathy of prematurity(ROP), and to construct a nomogram model for predicting ROP in premature infants.METHODS: This retrospective study enrolled premature infants who underwent fundus examinations in the hospital from January 2022 to September 2025 for analysis. Fundus examinations were performed using the RetCam III system, and the occurrence of ROP was recorded. The data were split into a training set and a validation set at a ratio of 7:3. Univariate analysis was conducted using the Chi-square test and multivariate analysis was performed using binary Logistic regression on the training set data. Variables identified in the multivariate analysis were used to construct a nomogram, which was subsequently validated.RESULTS: The incidence of ROP(428 cases)among the 3 841 premature infants was 11.43%, with 138 cases(32.24%)in stage I, 151 cases(35.28%)in stage II, 103 cases(24.07%)in stage III, 33 cases(7.71%)in stage IV, and 3 cases(0.70%)in stage V. No statistically significant differences were found in the clinical data between the training and validation sets(all P>0.05). Multivariate analysis identified neonatal sepsis, mechanical ventilation, transfusion therapy, coagulation dysfunction, bronchopulmonary dysplasia(BPD), neonatal respiratory distress syndrome(NRDS), formula feeding, and non-invasive respiratory support duration >1 wk as risk factors for ROP(all P<0.05). Birth weight(1 500-2 499 g, ≥2 500 g), gestational age(32-34 wk, 35-36 wk), weight gain rate ≥20 g/d, and 5-minute Apgar score ≥8 were identified as protective factors(all P<0.05). The area under curve(AUC)of the nomogram prediction model was 0.890 in the training set and 0.907 in the validation set, with sensitivity of 80.67% and 82.81%, and specificity of 83.18% and 85.14%, respectively. The calibration curves in both sets approached the ideal curve, and the Hosmer-Lemeshow goodness-of-fit test indicated good agreement between the predicted and observed values(χ2=12.918, P=0.115; χ2=4.047, P=0.853). The decision curve analysis demonstrated high net benefits in both the training and validation sets.CONCLUSION: The incidence of ROP in premature infants was 11.43%. The nomogram model, constructed based on multivariate Logistic regression and integrating key risk and protective factors such as birth weight, gestational age, sepsis, and mechanical ventilation, demonstrates high predictive value, good calibration, and high net benefit. It can serve as an intuitive and effective tool for early individualized risk assessment of ROP in premature infants.
