Artificial neural networks for assessing the risk factors for urinary calcium stones according to gender and family history of stone
Artificial neural networks for assessing the risk factors for urinary calcium stones according to gender and family history of stone
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DOI：
10.1080/00365590701365263
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发表时间：
2007-01-01
影响因子：
--
通讯作者：
Berland, Yvon
中科院分区：
文献类型：
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作者：
Dussol, Bertrand;Verdier, Jean-Michel;Berland, Yvon
Objective.在以前的工作中，我们证明了人工神经网络（ANN）比经典的统计分析评估的风险，特发性钙肾结石的伴侣结石形成者的信息。材料和方法。我们比较了四个人群中特发性钙性肾结石的危险因素（年龄、体重指数、钙血症、草酸钙过饱和、24小时钙尿症、血尿症、尿酸尿症、柠檬酸尿症、尿素和钠）：有和无结石家族史（FHS）的男性和女性。共有119名男性（58名FHS患者，61名无）和59名女性（30名FHS患者，29名无）与健康对照组进行了比较。对于每个变量，通过人工神经网络计算受试者工作特征（ROC）曲线指数。结果在没有FHS的男性中，最具判别力的变量是24小时尿素（ROC曲线指数0.76），过饱和（ROC曲线指数0.72），24小时尿钙（ROC曲线指数0.68），24小时血尿（ROC曲线指数0.64）、24小时尿潴留（ROC曲线指数0.63）、24小时钠（ROC曲线指数0.62）和钙血症（ROC曲线指数0.60）。在FHS患者中，只有过饱和（ROC曲线指数0.67）具有判别力。在无FHS的女性中，钙血症（ROC曲线指数0.67），24小时钙尿（ROC曲线指数0.64）和24小时尿酸尿（ROC曲线指数0.62）具有判别力。在FHS患者中，过饱和（ROC曲线指数0.70）、24小时血尿（ROC曲线指数0.69）、24小时尿素（ROC曲线指数0.68）和24小时钙尿（ROC曲线指数0.67）具有判别力。结论.有或无FHS的男性和有FHS的女性发生特发性钙性肾结石的危险因素大致相同。在这些患者中，草酸钙过饱和度和24小时尿素是最具鉴别力的因素。相反，在没有FHS的女性中，钙异常（钙血症，24小时尿钙）是判别性的，应提示临床下原发性甲状旁腺功能亢进或结节病的搜索。
Objective. In a previous work, we evidenced that artificial neural networks (ANNs) were more informative than classical statistical analyses for assessing the risk of idiopathic calcium nephrolithiasis in mate stone-formers. Material and methods. We compared risk factors for idiopathic calcium nephrolithiasis (age, body mass index, calcemia, calcium oxalate supersaturation, and 24-h calciuria, oxaluria, uricosuria, citraturia, urea, and sodium) in four populations: men and women with and without a family history of stone (FHS). A total of 119 males (58 with an FHS, 61 without) and 59 females (30 with an FHS, 29 without) were compared to healthy controls. For each variable, receiver operating characteristic (ROC) curve indices were calculated by means of ANNs. Results. In men without an FHS, the most discriminant variables were 24-h urea (ROC curve index 0.76), supersaturation (ROC curve index 0.72), 24-h calciuria (ROC curve index 0.68), 24-h uricosuria (ROC curve index 0.64), 24-h oxaluria (ROC curve index 0.63), 24-h sodium (ROC curve index 0.62), and calcemia (ROC curve index 0.60). In men with an FHS, only supersaturation (ROC curve index 0.67) was discriminant. In women without FHS, calcemia (ROC curve index 0.67), 24-h calciuria (ROC curve index 0.64), and 24-h uricosuria (ROC curve index 0.62) were discriminant. In women with an FHS, supersaturation (ROC curve index 0.70), 24-h uricosuria (ROC curve index 0.69), 24-h urea (ROC curve index 0.68), and 24-h calciuria (ROC curve index 0.67) were discriminant. Conclusions. Risk factors for idiopathic calcium nephrolithiasis were roughly the same in men with or without an FHS, and in women with an FHS. In these patients, calcium oxalate supersaturation and 24-h urea were the most discriminant factors. Conversely, in women without an FHS, calcium abnormalities (calcemia., 24-h calciuria) were discriminant and should prompt a search for infraclinical primary hyperparathyroidism or sarcoiclosis.