摘要

Objective: To evaluate the application value of the CHOP (Children's Hospital of Philadelphia) retinopathy of prematurity (ROP) model in predicting the risk of severe ROP in Chinese premature infants. Methods: Totally, 480 premature infants born between January, 2009 and December, 2015, at the Army Bayi Children's Hospital Affiliated to General Hospital, with a gestational age (GA) of 26-34 weeks were enrolled as eligible subjects. In the model, body weight (BW), GA, and daily weight gain rate were used repeatedly each week to predict risk. The probability of severe ROP was calculated on a weekly basis for each child, and when the calculated risk was greater than 0.014, the child was flagged as needing examinations. Results: Of the 480 premature infants, 178 cases (34.2%) were type I ROP, 51 cases (65.4%) were type II ROP, and 251 cases were required no additional intervention treatment. Among the infants with type I and type II ROP, a total of 109 premature infants had a GA >= 29 weeks (22%) and 140 premature infants had a BW >= 1000 g (30%). CHOP ROP model was used to predict the risk of the patients with low risk (210 cases) and high risk (270 cases). According to this model, the premature infants who need repeated screening were reduced by 41.6%. The sensitivity, specificity, positive predictive value and negative predictive value for predicting type I ROP was 97.7%, 80%, 64.4%, and 95.2%. Conclusion: According to this retrospective study, CHOP ROP prediction model provides an early identification for severe ROP in Chinese premature infants, but it may also result in omission and over-screening and this model could not completely replace the retinal screening.

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