Screening for novel risk factors related to high myopia using machine learning.

Background: High myopia-related complications have become a major cause of irreversible vision loss. Evaluating the association between potential factors and high myopia can provide insights into pathophysiologic mechanisms and further intervention targets for myopia progression.Method: Participants...

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Publicado en:BMC Ophthalmology Vol. 22; no. 1; pp. 1 - 10
Autores principales: Zhang, Ruiheng, Dong, Li, Yang, Qiong, Zhou, Wenda, Wu, Haotian, Li, Yifan, Li, Heyan, Wei, Wenbin
Formato: Journal Article
Publicado: BioMed Central 10/13/2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 10/13/2022
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      pub: BioMed Central
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        159661581
        159661581
        NLM36229775
        10.1186/s12886-022-02627-0
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        159661581
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        atl: Screening for novel risk factors related to high myopia using machine learning.
      aug:
        au:
          Zhang, Ruiheng
          Dong, Li
          Yang, Qiong
          Zhou, Wenda
          Wu, Haotian
          Li, Yifan
          Li, Heyan
          Wei, Wenbin
        affil: Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
      sug:
        subj:
          Asthma Diagnosis
          Myopia Epidemiology
          Asthma Epidemiology
          Myopia Diagnosis
          Surveys
          Prevalence
          Risk Factors
          C-Reactive Protein
          Vitamin A
      ab: Background: High myopia-related complications have become a major cause of irreversible vision loss. Evaluating the association between potential factors and high myopia can provide insights into pathophysiologic mechanisms and further intervention targets for myopia progression.Method: Participants aged 12-25 years from National Health and Nutrition Examination Survey 2001-2006 were selected for the analysis. Myopia was defined as spherical equivalent (sum of spherical error and half of the cylindrical error) of any eyes ≤-0.5 diopters. High myopia was defined as the spherical equivalent of any eye ≤ - 5.00 diopters. Essential variables were selected by Random Forest algorithm and verified by multivariable logistic regression.Results: A total of 7,033 participants and 74 potential factors, including demographic (4 factors), physical examination (6 factors), nutritional and serological (45 factors), immunological (9 variables), and past medical history factors (10 factors), were included into the analysis. Random Forest algorithm found that several anthropometric, nutritional, and serological factors were associated with high myopia. Combined with multivariable logistic regression, high levels of serum vitamin A was significantly associated with an increased prevalence of high myopia (adjusted odd ratio = 1.46 for 1 µmol/L increment, 95% confidence interval [CI] 1.01-2.10). Furthermore, we found that neither C-reactive protein nor asthma increased the risk and severity of myopia.Conclusion: High levels of serum vitamin A was seemingly associated with an increased prevalence of high myopia. This borderline significant association should be interpreted with caution because the potential increased type I error after the multiple testing. It still needs further investigation regarding the mechanism underlying this association. Neither C-reactive protein nor asthma increased the risk and severity of myopia.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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