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首页> 外文期刊>Journal of International Medical Research >Establishment and assessment of a nomogram for predicting adverse outcomes of preterm preeclampsia
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Establishment and assessment of a nomogram for predicting adverse outcomes of preterm preeclampsia

机译：预测早产预贷款的不良结果的ROMO图表的建立与评估

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Objective This prospective study was designed to develop and internally validate an accurate prognostic nomogram model with which to predict the adverse outcomes of preterm preeclampsia. Methods Pregnant women with preeclampsia were divided into the adverse outcome group and the no adverse outcome group. The Kaplan–Meier method, univariate Cox regression analysis, and calculation of the concordance index (C-index) were applied to predictive evaluation of the nomogram. Calibration curves were drawn to test the nomogram prediction and actual observation of the adverse outcome rate. Results After 1000 internal validations of bootstrap resampling, the C-index of the nomogram for predicting adverse outcomes within 48 hours was 0.74 and the cut-off value was 0.53, with a sensitivity of 61.57% and a specificity of 76.93%. The C-index of the nomogram for predicting adverse outcomes within 7 days was 0.76 and the cut-off value was 0.37, with a sensitivity of 58.17% and a specificity of 84.82%. The calibration curves showed good concordance of incidence of adverse outcomes between nomogram prediction and actual observation. Conclusion Cox regression has certain guiding significance in preventing and treating adverse outcomes, choosing the time of termination of pregnancy, and improving the prognosis of the mother and child.
机译：目的，这项前瞻性研究旨在开发和内部验证准确的预后载体模型，以预测早产预贷方的不良结果。方法患有先兆子痫的孕妇分为不良结果组和无恶果组。 KAPLAN-MEIER方法，单变量COX回归分析和计算协调指数（C-INDEX）的计算被应用于预测对载体的评估。绘制校准曲线以测试载体预测和对不利结果的实际观察。结果在1000次内部验证后自动采样重采样，预测48小时内不良结果的载体的C折射率为0.74，截止值为0.53，灵敏度为61.57％，特异性为76.93％。用于预测7天内不良结果的载体的C折射率为0.76，截止值为0.37，灵敏度为58.17％，特异性为84.82％。校准曲线显示了NOM图预测与实际观察之间不利结果的发生率良好的良好。结论COX回归在预防和治疗不良结果方面具有一定的指导意义，选择妊娠期终止的时间，提高母亲和儿童的预后。

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