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ORIGINAL RESEARCH article

Front. Med.
Sec. Ophthalmology
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1491736
This article is part of the Research Topic New Concepts, Advances, and Future Trends in Clinical Research on Eye Diseases View all articles

Clinical Ocular Prediction Model of Postoperative Ametropic Amblyopia in Patients With Congenital Ectopia Lentis

Provisionally accepted
Xinyue Wang Xinyue Wang 1*Linghao Song Linghao Song 1*Yan Liu Yan Liu 1*Qiuyi Huo Qiuyi Huo 1*Yang Sun Yang Sun 1Zexu Chen Zexu Chen 1WANNAN JIA WANNAN JIA 1Xin Shen Xin Shen 1*Yalei Wang Yalei Wang 1*Xinyao Chen Xinyao Chen 1*Tianhui Chen Tianhui Chen 1*Yongxiang Jiang Yongxiang Jiang 1*Rui Wang Rui Wang 2*
  • 1 Eye and Ent Hospital, Fudan University, Shanghai, China
  • 2 First Hospital of Northwest University, Xi’an, China

The final, formatted version of the article will be published soon.

    Introduction: Despite prompt and appropriate surgical management, a considerable proportion of patients with congenital ectopia lentis (CEL) suffer from postoperative ametropic amblyopia. To predict and identify at-risk patients early, and ensure timely amblyopia treatment, we conducted a thorough investigation into the onset and progression patterns of postoperative amblyopia in patients with CEL. Moreover, an ocular prediction model was constructed for amblyopia. Methods: In this prospective cohort study, amblyopia analysis was conducted to reveal the prevalence of postoperative amblyopia at different time points of follow-up. Comparative analysis and logistic regression analysis were performed for the development of an amblyopia prediction model. Receiver Operating Characteristic (ROC) analysis, calibration plots, and decision curve analysis (DCA) were used to evaluate the performance of the model. A nomogram was created to determine the probability of postoperative amblyopia. Amblyopia was diagnosed according to the most recent edition of the Amblyopia Preferred Practice Pattern. Results: A total of 889 eyes from 677 patients operated for CEL were enrolled in this study. In the pediatric cohort, the prevalence of amblyopia showed a decreasing trend with follow-up time from 1 month to 3.5 years. A prediction model based on preoperative best-corrected visual acuity (BCVA) and cardiac phenotype was established to predict postoperative amblyopia. For effective individual prediction, a nomogram was created. With great calibration, discrimination, and clinical usefulness, the prediction model demonstrated good performance. Conclusion: The findings underscore that the prevalence of ametropic amblyopia in pediatric CEL patients who underwent lens surgery exhibited a marked decline over time. The prediction model established with preoperative BCVA and cardiac phenotype can provide accurate and individualized predictions of postoperative amblyopia, and it has the potential to assist ophthalmologists in rapidly identifying high-risk patients.

    Keywords: Congenital ectopia lentis, Ametropic amblyopia, nomogram, Prediction model, Visual prognosis

    Received: 05 Sep 2024; Accepted: 09 Oct 2024.

    Copyright: © 2024 Wang, Song, Liu, Huo, Sun, Chen, JIA, Shen, Wang, Chen, Chen, Jiang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xinyue Wang, Eye and Ent Hospital, Fudan University, Shanghai, China
    Linghao Song, Eye and Ent Hospital, Fudan University, Shanghai, China
    Yan Liu, Eye and Ent Hospital, Fudan University, Shanghai, China
    Qiuyi Huo, Eye and Ent Hospital, Fudan University, Shanghai, China
    Xin Shen, Eye and Ent Hospital, Fudan University, Shanghai, China
    Yalei Wang, Eye and Ent Hospital, Fudan University, Shanghai, China
    Xinyao Chen, Eye and Ent Hospital, Fudan University, Shanghai, China
    Tianhui Chen, Eye and Ent Hospital, Fudan University, Shanghai, China
    Yongxiang Jiang, Eye and Ent Hospital, Fudan University, Shanghai, China
    Rui Wang, First Hospital of Northwest University, Xi’an, 710075, China

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