Nomogram to predict severe retinopathy of prematurity in Southeast China
| Autor: | Dan Liu, Xing-Yong Li, Hong-Wu He, Ka-Lu Jin, Ling-Xia Zhang, Yang Zhou, Zhi-Min Zhu, Chen-Chen Jiang, Hai-Jian Wu, Sui-Lian Zheng |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | International Journal of Ophthalmology, Vol 17, Iss 2, Pp 282-288 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2222-3959 2227-4898 |
| DOI: | 10.18240/ijo.2024.02.09 |
| Popis: | AIM: To define the predictive factors of severe retinopathy of prematurity (ROP) and develop a nomogram for predicting severe ROP in southeast China. METHODS: Totally 554 infants diagnosed with ROP hospitalized in the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University and hospitalized in Taizhou Women and Children's Hospital were included. Clinical data and 43 candidate predictive factors of ROP infants were collected retrospectively. Logistic regression model was used to identify predictive factors of severe ROP and to propose a nomogram for individual risk prediction, which was compared with WINROP model and Digirop-Birth model. RESULTS: Infants from the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University (n=478) were randomly allocated into training (n=402) and internal validation group (n=76). Infants from Taizhou Women and Children's Hospital were set as external validation group (n=76). Severe ROP were found in 52 of 402 infants, 12 of 76 infants, and 7 of 76 infants in training group, internal validation group, and external validation group, respectively. Birth weight [odds ratio (OR), 0.997; 95% confidence interval (CI), 0.996-0.999; P |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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