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分娩量与产后重度子痫前期产妇发病率的关系。

Maternal morbidity in postpartum severe preeclampsia by obstetric delivery volume.

机构信息

Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC (Santoli, Dotters-Katz, and Federspiel).

Department of Bioinformatics and Biostatistics, Duke University School of Medicine, Durham, NC (Unnithan and Truong).

出版信息

Am J Obstet Gynecol MFM. 2024 Nov;6(11):101500. doi: 10.1016/j.ajogmf.2024.101500. Epub 2024 Sep 21.

Abstract

BACKGROUND

Pre-eclampsia is a leading cause of maternal morbidity and mortality in the United States. Emerging data suggests that postpartum pre-eclampsia may be associated with a higher incidence of maternal morbidity compared to hypertensive disorders of pregnancy (HDP) diagnosed antenatally. Understanding postpartum maternal risk across facilities with a spectrum of obstetric services is critical with the rising rates of pre-eclampsia in all healthcare settings.

OBJECTIVE

We investigated the relationship between facility delivery volume and rates of nontransfusion severe maternal morbidity (SMM) among patients readmitted postpartum for pre-eclampsia with severe features.

STUDY DESIGN

This is a retrospective cohort study using the Nationwide Readmissions Database (2015-2019) of postpartum patients readmitted for pre-eclampsia with severe features. Our primary outcome was nontransfusion SMM during readmission, defined per U.S. Centers for Disease Control and Prevention criteria. We also evaluated SMM, cardiac SMM, and individual morbidities. The exposure variable was the number of annual deliveries at the readmitting facility. Restricted cubic splines with 4 knots were used to assess the functional form of the relationship between obstetric delivery volume and nontransfusion SMM; a linear relationship was identified as optimal. Logistic regression was used to estimate adjusted odds ratios (aOR) which controlled for maternal age, nontransfusion SMM at delivery, expanded obstetric comorbidity index, and HDP during delivery.

RESULTS

The cohort included 29,472 patients readmitted with postpartum pre-eclampsia with severe features. The primary payer was 55% private and 42% governmental. Median age was 31.4 years. Most patients did not have prior HDP (65%) or chronic hypertension (86%) diagnosis antenatally. The median interval from delivery hospitalization to readmission was 3.9 days (25th percentile-75th percentile: 2.2-6.5). Nontransfusion SMM occurred in 7% of patients readmitted to facilities with >2000 deliveries compared to 9% with 1 to 2000 deliveries, and 52% without any delivery hospitalizations. The most common SMM was pulmonary edema and heart failure, observed in 4% of readmissions. We observed that for every increase in 1000 deliveries, the odds of a nontransfusion SMM at readmission decreased by 3.5% (aOR: 0.965; 95% confidence interval: 0.94, 0.99).

CONCLUSION

Nontransfusion SMM for postpartum readmissions with pre-eclampsia with severe features was inversely associated with readmitting hospital delivery volume. This information may guide risk-reducing initiatives for identifying strategies to optimize postpartum care at facilities with lower or no delivery volume. El resumen está disponible en Español al final del artículo.

摘要

背景

子痫前期是美国产妇发病率和死亡率的主要原因。新出现的数据表明,与产前诊断的妊娠高血压疾病(HDP)相比,产后子痫前期可能与更高的产妇发病率有关。了解具有不同产科服务范围的医疗机构产后的产妇风险至关重要,因为所有医疗保健环境中的子痫前期发病率都在上升。

目的

我们研究了设施分娩量与因严重特征产后子痫前期而再次入院的患者非输血严重产妇发病率(SMM)之间的关系。

研究设计

这是一项使用全国再入院数据库(2015-2019 年)对因严重特征产后子痫前期再次入院的患者进行的回顾性队列研究。我们的主要结局是再入院时非输血性 SMM,根据美国疾病控制与预防中心的标准定义。我们还评估了 SMM、心脏 SMM 和个别发病率。暴露变量是再入院机构的年分娩量。使用 4 个结的限制立方样条来评估产科分娩量与非输血性 SMM 之间的关系的函数形式;线性关系被确定为最佳关系。使用逻辑回归来估计调整后的优势比(aOR),该比值控制了产妇年龄、分娩时非输血性 SMM、扩展产科合并症指数和分娩时 HDP。

结果

队列包括 29472 名因产后严重特征子痫前期再次入院的患者。主要付款人是 55%的私人和 42%的政府。中位年龄为 31.4 岁。大多数患者产前没有 HDP(65%)或慢性高血压(86%)诊断。从分娩住院到再次入院的中位时间为 3.9 天(25%分位数-75%分位数:2.2-6.5)。非输血性 SMM 发生在 7%再次入院的设施分娩量>2000 的患者中,而 1-2000 分娩量的患者中为 9%,无分娩住院的患者中为 52%。最常见的 SMM 是肺水肿和心力衰竭,在 4%的再入院中观察到。我们发现,每次增加 1000 次分娩,再入院时非输血性 SMM 的几率就会降低 3.5%(aOR:0.965;95%置信区间:0.94,0.99)。

结论

严重特征产后子痫前期再次入院的非输血性 SMM 与再入院医院分娩量呈负相关。这些信息可以指导降低风险的举措,以确定在分娩量较低或没有分娩量的机构优化产后护理的策略。

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本文引用的文献

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