An application of data mining to identify potential risk factors for anophthalmia and microphthalmia.
An application of data mining to identify potential risk factors for anophthalmia and microphthalmia.
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应用数据挖掘来识别无眼症和小眼症的潜在危险因素。
DOI：
10.1111/ppe.12509
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发表时间：
2018
影响因子：
2.8
通讯作者：
NationalBirthDefectsPreventionStudy
中科院分区：
文献类型：
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作者：
Weber,KariA;Yang,Wei;Carmichael,SuzanL;Lupo,PhilipJ;Dukhovny,Stephanie;Yazdy,MahsaM;Lin,AngelaE;VanBennekom,CarlaM;Mitchell,AllenA;Shaw,GaryM;NationalBirthDefectsPreventionStudy
背景我们使用数据挖掘检查了大量变量，以产生关于更广泛的无眼症/小眼症危险因素的新假设。方法数据来自国家出生缺陷预防研究，这是一项来自美国 10 个中心的多中心病例对照研究。有 134 例“孤立性”和 87 例“非孤立性”（伴有其他严重出生缺陷）无眼/小眼症病例，以及 11,052 例出生日期为 1997 年 10 月至 2011 年 12 月的非畸形对照。使用随机森林（一种数据挖掘程序），我们将这两种病例类型与对照的 201 个变量进行了比较。按随机森林排序的重要变量被纳入多变量逻辑回归模型中，以估计比值比和 95% 置信区间。结果 孤立病例的预测因素包括父亲种族/民族、母亲摄入某些营养素和食物以及亲属的儿童健康问题。通过回归分析，观察到母亲受教育程度越高以及叶酸和土豆摄入量的增加呈负相关。如果父亲受教育程度较高、碳水化合物和豆类摄入量增加、以及亲属有儿童期健康问题，则患病几率会稍高一些。对于非孤立病例，预测因素包括父亲种族/民族、母亲摄入某些营养素以及受孕前一个月在家吸烟。西班牙裔父亲、在家吸烟以及受孕前一个月使用非甾体抗炎药的几率较高。结论结果似乎支持先前假设的风险因素、社会经济状况、非甾体抗炎药的使用和叶酸摄入不足，并可能提供新的领域，如孕前被动吸烟、父亲教育和种族，以探索进一步了解无眼症/小眼症。
BackgroundWe examined a large number of variables to generate new hypotheses regarding a wider range of risk factors for anophthalmia/microphthalmia using data mining.MethodsData were from the National Birth Defects Prevention Study, a multicentre, case‐control study from 10 centres in the United States. There were 134 cases of “isolated” and 87 “nonisolated” (with other major birth defects) of anophthalmia/microphthalmia and 11 052 nonmalformed controls with delivery dates October 1997‐December 2011. Using random forest, a data mining procedure, we compared the two case types with controls for 201 variables. Variables considered important ranked by random forest were included in a multivariable logistic regression model to estimate odds ratios and 95% confidence intervals.ResultsPredictors for isolated cases included paternal race/ethnicity, maternal intake of certain nutrients and foods, and childhood health problems in relatives. Using regression, inverse associations were observed with greater maternal education and with increasing intake of folate and potatoes. Odds were slightly higher with greater paternal education, for increased intake of carbohydrates and beans, and if relatives had a childhood health problem. For nonisolated cases, predictors included paternal race/ethnicity, maternal intake of certain nutrients, and smoking in the home the month before conception. Odds were higher for Hispanic fathers and smoking in the home and NSAID use the month before conception.ConclusionsResults appear to support previously hypothesised risk factors, socio‐economic status, NSAID use, and inadequate folate intake, and potentially provide new areas such as passive smoking pre‐pregnancy, and paternal education and ethnicity, to explore for further understanding of anophthalmia/microphthalmia.