妊娠期高血压疾病风险预测模型的构建及价值分析OA
Construction and value analysis of risk prediction model for hypertensive disorders of pregnancy
目的 构建妊娠期高血压疾病(HDP)的风险预测模型,并分析其价值.方法 回顾性分析 2021 年 1 月至 12月在东莞康华医院进行规律产前检查并分娩的 3 862 例自然怀孕单胎妊娠孕妇临床资料,筛选出 268 例纳入研究,依据是否罹患 HDP分为对照组(88 例)和HDP组(180 例).比较两组 HDP 风险因素及血清学指标差异,纳入多因素logistic 回归分析识别独立危险因素.基于回归结果构建 HDP预测模型,并绘制 ROC曲线评估效能.结果 单因素分析结果显示,预产期年龄、孕前体重指数(BMI)、尿酸中位数倍数(MOM)、碱性磷酸酶(ALP)MOM、胱抑素C(Cys C)MOM、产次、β-人绒毛膜促性腺激素(β-hCG)MOM、妊娠相关血浆蛋白 A(PAPP-A)MOM 与 HDP 发生有关(P<0.05);采用多因素 logistic 回归模型进行多因素分析结果显示,预产期年龄(β=0.485,OR=1.624,95%CI:1.035~2.549)、孕前 BMI(β=0.258,OR=1.294,95%CI:1.194~1.403)、尿酸 MOM(β=0.380,OR=1.462,95%CI:1.149~1.861)、ALP MOM(β=0.441,OR=1.554,95%CI:1.103~2.190)、Cys C MOM(β=0.094,OR=1.099,95%CI:1.018~1.186)是 HDP 发生的独立危险因素,产次(β=-0.868,OR=0.420,95%CI:0.235~0.748)、PAPP-A MOM(β=-0.413,OR=0.662,95%CI:0.459~0.955)、β-hCG MOM(β=-0.436,OR=0.647,95%CI:0.441~0.948)是其发生的独立保护因素(P<0.05);构建预测模型Y=-7.654+预产期年龄×0.485+孕前 BMI×0.258+产次×(-0.868)+PAPP-A MOM×(-0.413)+β-hCG MOM×(-0.436)+尿酸 MOM×0.380+ALP MOM×0.441+Cys C MOM×0.094;Hosmer-Lemeshow 检验拟合优度较好;ROC 结果显示,HDP 发生的预测模型的 AUC 为 0.908,灵敏度为 0.840,特异度为 0.880,约登指数为 0.720.结论 基于孕前 BMI、年龄、尿酸、ALP、Cys C、产次及 PAPP-A、β-hCG 血清学指标构建的 HDP 预测模型具有良好的区分度和校准度,可为临床早期识别高危人群提供可靠工具.
Objective To construct a risk prediction model for hypertensive disorders of pregnancy(HDP),and to analyse its value.Methods A retrospective analysis was conducted on the clinical data of 3 862 pregnant women with natural pregnan-cy and singleton pregnancy who underwent regular prenatal examination and delivery in Dongguan Kanghua Hospital from January to December 2021,and 268 cases were selected for inclusion in the study,which they were divided into control group(88 cases)and HDP group(180 cases)according to whether they had HDP.The differences in risk factors and serological indicators of HDP between the two groups were compared,statistical difference variables were screened,and multivariate logistic regression analysis was included to identify independent risk factors.Based on the regression results,the HDP prediction model was constructed,and the RO C curve was drawn to evaluate the efficiency.Results Univariate analysis showed that the age at due date,pre-pregnancy body mass index(BMI),uric acid multiple of median(MOM)value,alkaline phosphatase(ALP)MOM,cystatin C(Cys C)MOM,parity time,β-subunit of human chorionic gonadotropin(β-hCG)MOM,pregnancy associated plasma protein A(PAPP-A)MOM were related to the occurrence of HDP,the differ-ences were statistically significant(P<0.05).Multivariate analysis using logistic regression model showed that th e age a t delivery(β=0.485,OR=1.624,95%CI:1.035-2.549)and pre-pregnancy BMI(β=0.258,OR=1.294,95%CI:1.194-1.403),uric acid MOM(β=0.380,OR=1.462,95%CI:1.149-1.861),ALP MOM(β=0.441,OR=1.554,95%CI:1.103-2.190),Cys C MOM(β=0.094,OR=1.099,95%CI:1.018-1.186)were independent risk factors for HDP,with yield(β=-0.868,OR=0.420,95%CI:0.235-0.748),PAPP-A MOM(β=-0.413,OR=0.662,95%CI:0.459-0.955),and β-hCG MOM(β=-0.436,OR=0.647,95%CI:0.441-0.948)were independent protective factors for its occurrence(P<0.05).The prediction model was constructed Y=-7.654+age at expected delivery×0.485+Pregestational BMI×0.258+childbirth×(-0.868)+PAPP-A MOM×(-0.413)+β-hCG MOM×(-0.436)+uric acid MOM×0.380+ALP MOM×0.441 Cys C MOM×0.094.The Hosmer-Lemeshow test had good goodness of fit.The ROC results showed that the AUC of the prediction model for HDP occurrence was 0.908,the sensitivity was 0.840,the specificity was 0.880,and the approximate index was 0.720.Conclusion The HDP prediction model based on pre-pregnancy BMI,age,uric acid,ALP,Cys C,parity and serological indicators of PAPP-A and β-hCG has good discrimination and calibration.
陈秋梅;黎自领;陈丽娟
广东省东莞康华医院产科,广东 东莞 523000广东省东莞康华医院产科,广东 东莞 523000广东省东莞康华医院产科,广东 东莞 523000
医药卫生
妊娠期高血压疾病唐氏筛查指标预测模型妊娠相关血浆蛋白A
Hypertensive disorders of pregnancyDown's screening indexPrediction modelPregnancy associated plasma protein A
《中国当代医药》 2026 (12)
10-14,5
广东省东莞市社会发展科技项目(20231800902392).
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