<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zeng Q</submitter><funding>Science and Technology Development Program of Jinan Municipal Health Commission</funding><pagination>43735</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12700950</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_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 </pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Development of a non-invasive diagnostic model for severe Retinopathy of Prematurity integrating clinical and platelet data.</pubmed_title><pmcid>PMC12700950</pmcid><funding_grant_id>2024308009</funding_grant_id><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Zeng Q</pubmed_authors><pubmed_authors>Lv X</pubmed_authors><pubmed_authors>Wu D</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Liu G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development of a non-invasive diagnostic model for severe Retinopathy of Prematurity integrating clinical and platelet data.</name><description>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 </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T02:03:32.333Z</modification><creation>2026-05-24T03:12:19.127Z</creation></dates><accession>S-EPMC12700950</accession><cross_references><pubmed>41387755</pubmed><doi>10.1038/s41598-025-28293-y</doi></cross_references></HashMap>