Development of a non-invasive diagnostic model for severe Retinopathy of Prematurity integrating clinical and platelet data.

ABSTRACT: To construct a non-invasive and convenient early diagnostic model by integrating multidimensional clinical data and platelet (PLT) indices, and to explore the predictive value of PLT for severe Retinopathy of Prematurity (ROP). A study included premature infants admitted to our hospital from January 2020 to September 2025. According to the results of fundus screening, subjects were divided into the ROP group (n = 190) and the normal control group (n = 142). The ROP group was further categorized into mild (n = 110) and severe (n = 15) subgroups based on treatment requirements, which included platelet data corresponding to a postmenstrual age (PMA) of 30 weeks. Clinical data on parental factors, neonatal factors, and treatment factors were collected, along with PLT results from birth to PMA

SUBMITTER: Zeng Q 

PROVIDER: S-EPMC12700950 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature