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早孕期收缩压模式预测低危到中危人群中早发型和晚发型子痫前期和妊娠期高血压。

Early Pregnancy Systolic Blood Pressure Patterns Predict Early- and Later-Onset Preeclampsia and Gestational Hypertension Among Ostensibly Low-to-Moderate Risk Groups.

机构信息

Division of Research, Kaiser Permanente Northern California Oakland CA USA.

Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine Pasadena CA USA.

出版信息

J Am Heart Assoc. 2023 Aug;12(15):e029617. doi: 10.1161/JAHA.123.029617. Epub 2023 Jul 12.

Abstract

Background Clinical risk factors, a single blood pressure (BP) measurement, current biomarkers, and biophysical parameters can effectively identify risk of early-onset preeclampsia but have limited ability to predict later-onset preeclampsia and gestational hypertension. Clinical BP patterns hold promise to improve early risk stratification for hypertensive disorders of pregnancy. Methods and Results After excluding preexisting hypertension, heart, kidney, or liver disease, or prior preeclampsia, the retrospective cohort (n=249 892) all had systolic BP <140 mm Hg and diastolic BP <90 mm Hg or a single BP elevation ≤20 weeks' gestation, prenatal care at <14 weeks' gestation, and a still or live birth delivery at Kaiser Permanente Northern California hospitals (2009-2019). The sample was randomly split into development (N=174 925; 70%) and validation (n=74 967; 30%) data sets. Predictive performance of multinomial logistic regression models for early-onset (<34 weeks) preeclampsia, later-onset (≥34 weeks) preeclampsia, and gestational hypertension was evaluated in the validation data set. There were 1008 (0.4%), 10 766 (4.3%), and 11 514 (4.6%) patients with early-onset preeclampsia, later-onset preeclampsia, and gestation hypertension, respectively. Models with 6 systolic BP trajectory groups (0-20 weeks' gestation) plus standard clinical risk factors performed substantially better than risk factors alone to predict early- and later-onset preeclampsia and gestational hypertension, with C-statistics (95% CIs) of 0.747 (0.720-0.775), 0.730 (0.722-0.739), and 0.768 (0.761-0.776) versus 0.688 (0.659-0.717), 0.695 (0.686-0.704) and 0.692 (0.683-0.701), respectively, with excellent calibration (Hosmer-Lemeshow =0.99, 0.99, and 0.74, respectively). Conclusions Early pregnancy BP patterns up to 20 weeks' gestation plus clinical, social, and behavioral factors more accurately discriminate hypertensive disorders of pregnancy risk among low-to-moderate risk pregnancies. Early pregnancy BP trajectories improve risk stratification to reveal higher-risk individuals hidden within ostensibly low-to-moderate risk groups and lower-risk individuals considered at higher risk by US Preventive Services Task Force criteria.

摘要

背景 临床风险因素、单次血压测量值、当前生物标志物和生物物理参数可有效识别早发型子痫前期的风险,但预测晚发型子痫前期和妊娠期高血压的能力有限。临床血压模式有望改善妊娠高血压疾病的早期风险分层。

方法和结果 在排除了高血压、心脏病、肾脏病或肝脏病、或既往子痫前期病史后,回顾性队列(n=249892)的收缩压均<140mmHg,舒张压均<90mmHg,或在妊娠<20 周时仅有单次血压升高,<14 周时开始产前检查,在 Kaiser Permanente Northern California 医院(2009-2019 年)分娩的活产或死胎。样本被随机分为开发(N=174925;70%)和验证(n=74967;30%)数据集。在验证数据集中评估了用于早期(<34 周)子痫前期、晚期(≥34 周)子痫前期和妊娠期高血压的多项逻辑回归模型的预测性能。早期子痫前期、晚期子痫前期和妊娠期高血压的患者分别有 1008(0.4%)、10766(4.3%)和 11514(4.6%)例。6 个收缩压轨迹组(0-20 周妊娠)加标准临床危险因素的模型预测早期和晚期子痫前期和妊娠期高血压的效果明显优于单独危险因素,C 统计量(95%CI)分别为 0.747(0.720-0.775)、0.730(0.722-0.739)和 0.768(0.761-0.776),0.688(0.659-0.717)、0.695(0.686-0.704)和 0.692(0.683-0.701),且校准效果良好(Hosmer-Lemeshow=0.99、0.99 和 0.74)。

结论 妊娠早期直至 20 周的血压模式加临床、社会和行为因素能更准确地在低至中度风险妊娠中区分妊娠高血压疾病的风险。妊娠早期血压轨迹可改善风险分层,揭示出在表面上低至中度风险组中隐藏的高风险个体,以及在美国预防服务工作组标准下被认为高风险的低风险个体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f2b/10492985/4277d4f310b7/JAH3-12-e029617-g003.jpg

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