85
Views
1
CrossRef citations to date
0
Altmetric
BIRTH

Severe acute maternal morbidity and mode of delivery in the Netherlands

, , , &
Pages 1460-1465 | Received 14 Dec 2009, Accepted 24 Aug 2010, Published online: 19 Oct 2010
 

Abstract

Objective. To evaluate the risk of severe acute maternal morbidity (SAMM) related to mode of delivery. Design. Prospectively nationwide population based cohort study. Setting. All 98 maternity units in the Netherlands. Population. All pregnant women in the Netherlands. Methods. Cases were collected during a 2-year period. Incidence was assessed for all cases and for a subgroup of cases in which a direct relation between SAMM and mode of delivery was possible. In the latter group, all cases not clearly related to mode of delivery were excluded. Incidence of cesarean section (CS) compared to (attempted) vaginal delivery was calculated, and risk of SAMM after previous CS was assessed. Main outcome measures. Incidence of SAMM by mode of delivery; odds ratios (OR). Results. The incidence of SAMM possibly related to mode of delivery was 6.4/1,000 during elective CS compared to 3.9/1,000 during attempted vaginal delivery (OR 1.7: 95% CI 1.4–2.0). Women with a previous CS were at increased risk for SAMM in their present pregnancy (OR 3.0: 95% CI 2.7–3.3). Conclusion. CS in a previous as well as present pregnancy increased the risk of SAMM. The risk remained increased after excluding those cases where SAMM was not clearly related to mode of delivery.

Acknowledgments

The authors would like to thank the Netherlands Perinatal Registry for national reference data on delivery. The study was supported by the Dutch Organization for Health Research (ZonMw; grant 3610.0024) and the Matty Brand Foundation. The funding sources had no role in study design, data collection, data analysis, data interpretation or writing of the report.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.