Departments of Obstetrics and Gynecology and Pediatrics, Massachusetts General Hospital, and Harvard Medical School, Harvard University, Boston, MA.
Departments of Obstetrics and Gynecology and Pediatrics, Massachusetts General Hospital, and Harvard Medical School, Harvard University, Boston, MA.
Am J Obstet Gynecol. 2019 Apr;220(4):395.e1-395.e12. doi: 10.1016/j.ajog.2019.02.001. Epub 2019 Feb 17.
Unexpected admissions of term neonates to the neonatal intensive care unit and unexpected postnatal complications have been proposed as neonatal-focused quality metrics for intrapartum care. Previous studies have noted significant variation in overall hospital neonatal intensive care unit admission rates; however, little is known about the influence of obstetric practices on these rates or whether variation among unanticipated admissions in low-risk, term neonates can be attributed to systemic hospital practices.
The objective of the study was to examine the relative effects of patient characteristics and intrapartum events on unexpected neonatal intensive care unit admissions and to quantify the between-hospital variation in neonatal intensive care unit admission rates among this group of neonates.
We performed a retrospective cross-sectional study using data collected as part of the Consortium for Safe Labor study. Women who delivered term (≥37 weeks), singleton, nonanomalous, liveborn infants without an a priori risk for neonatal intensive care unit admission were included. The primary outcome was neonatal intensive care unit admission among this population. Multilevel mixed-effect models were used to calculate adjusted odds ratios for demographics (age, race, insurer), pregnancy characteristics (parity, gestational age, tobacco use, birthweight), maternal comorbidities (chronic and pregnancy-induced hypertension), hospital characteristics (delivery volume, hospital and neonatal intensive care unit level, academic affiliation), and intrapartum events (prolonged second stage, induction of labor, trial of labor after cesarean delivery, chorioamnionitis, meconium-stained amniotic fluid, and abruption). Intraclass correlation coefficients were used to estimate the between-hospital variance in a series of hierarchical models.
Of the 143,951 infants meeting all patient and hospital inclusion criteria, 7995 (5.6%) were admitted to the neonatal intensive care unit after birth. In the fully adjusted model, the factors associated with the highest odds for neonatal intensive care unit admission included: nulliparity (adjusted odds ratio, 1.62 [95% confidence interval, 1.53-1.71]), large for gestational age (adjusted odds ratio, 1.59 [95% confidence interval, 1.47-1.71]), and small for gestational age (adjusted odds ratio, 1.60 [95% confidence interval, 1.47-1.73]). Induction of labor (adjusted odds ratio, 0.95 [95% confidence interval, 0.89-1.01]) was not associated with increased odds of neonatal intensive care unit admission compared with women who labored spontaneously. The events associated with higher odds of neonatal intensive care unit admission included: prolonged second stage (adjusted odds ratio, 1.66 [95% confidence interval, 1.51-1.83]); chorioamnionitis (adjusted odds ratio, 3.89 [95% confidence interval, 3.42-4.44]), meconium-stained amniotic fluid (adjusted odds ratio, 1.96 [95% confidence interval, 1.82-2.10]), and abruption (adjusted odds ratio, 2.64 [95% confidence interval, 2.16-.21]). Compared with women who did not labor, the odds of neonatal intensive care unit admission were lower for women who labored: adjusted odds ratio, 0.48 (95% confidence interval, 0.45-0.52) for women with no uterine scar and adjusted odds ratio, 0.83 (95% confidence interval, 0.73-0.94) for women with a uterine scar. There was significant variation in neonatal intensive care unit admission rates by hospital, ranging from 2.9% to 11.2%. After accounting for case mix and hospital characteristics, the between-hospital variance was 1.9%, suggesting that little of the variation was explained by the effect of the hospital.
This study contributes to the currently limited understanding of term, neonatal intensive care unit admission rates as a marker of obstetrical care quality. We demonstrated that significant variation exists in hospital unexpected neonatal intensive care unit admission rates and that certain intrapartum events are associated with an increased risk for neonatal intensive care unit admission after delivery. However, the between-hospital variation was low. Unmeasured confounders and extrinsic factors, such as neonatal intensive care unit bed availability, may limit the ability of unexpected term neonatal intensive care unit admissions to meaningfully reflect obstetrical care quality.
意外的足月新生儿入住新生儿重症监护病房和产后并发症已被提议作为产时护理的新生儿为重点的质量指标。先前的研究已经注意到整体医院新生儿重症监护病房入院率存在显著差异;然而,关于产科实践对这些比率的影响,或者低风险、足月新生儿的意外入院率的差异是否可以归因于医院的系统性实践,知之甚少。
本研究旨在检查患者特征和产时事件对意外新生儿重症监护病房入院的相对影响,并量化这群新生儿中新生儿重症监护病房入院率的医院间差异。
我们使用作为安全分娩联盟研究一部分收集的数据进行了回顾性横断面研究。纳入了足月(≥37 周)、单胎、非畸形、活产且无新生儿重症监护病房入院预先风险的婴儿。主要结局是该人群中的新生儿重症监护病房入院。使用多水平混合效应模型计算人口统计学因素(年龄、种族、保险)、妊娠特征(产次、胎龄、吸烟、出生体重)、母体合并症(慢性和妊娠高血压)、医院特征(分娩量、医院和新生儿重症监护病房级别、学术隶属关系)和产时事件(第二产程延长、引产、剖宫产术后试产、绒毛膜羊膜炎、羊水胎粪污染和胎盘早剥)的调整后比值比。使用组内相关系数估计一系列分层模型中的医院间方差。
在符合所有患者和医院纳入标准的 143951 名婴儿中,有 7995 名(5.6%)在出生后入住新生儿重症监护病房。在完全调整的模型中,与新生儿重症监护病房入院最高比值比相关的因素包括:初产妇(调整后的比值比,1.62[95%置信区间,1.53-1.71])、巨大儿(调整后的比值比,1.59[95%置信区间,1.47-1.71])和小于胎龄儿(调整后的比值比,1.60[95%置信区间,1.47-1.73])。与自然分娩的妇女相比,引产(调整后的比值比,0.95[95%置信区间,0.89-1.01])并不与新生儿重症监护病房入院的几率增加相关。与更高的新生儿重症监护病房入院几率相关的事件包括:第二产程延长(调整后的比值比,1.66[95%置信区间,1.51-1.83]);绒毛膜羊膜炎(调整后的比值比,3.89[95%置信区间,3.42-4.44])、羊水胎粪污染(调整后的比值比,1.96[95%置信区间,1.82-2.10])和胎盘早剥(调整后的比值比,2.64[95%置信区间,2.16-0.21])。与未分娩的妇女相比,有子宫疤痕的妇女和无子宫疤痕的妇女的新生儿重症监护病房入院几率较低,调整后的比值比分别为 0.48(95%置信区间,0.45-0.52)和 0.83(95%置信区间,0.73-0.94)。医院间新生儿重症监护病房入院率存在显著差异,范围从 2.9%到 11.2%。在考虑病例组合和医院特征后,医院间的方差为 1.9%,这表明医院的影响很小。
本研究有助于目前对足月新生儿重症监护病房入院率作为产科护理质量指标的理解有限。我们表明,医院意外新生儿重症监护病房入院率存在显著差异,某些产时事件与分娩后新生儿重症监护病房入院风险增加相关。然而,医院间的差异很低。无法测量的混杂因素和外在因素,如新生儿重症监护病房床位的可用性,可能限制意外足月新生儿重症监护病房入院率有意义地反映产科护理质量。