Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jul 1;5(7):e2224614.
doi: 10.1001/jamanetworkopen.2022.24614.

Trends and Distribution of In-Hospital Mortality Among Pregnant and Postpartum Individuals by Pregnancy Period

Lindsay K Admon  1 , Nicole D Ford  2 , Jean Y Ko  2 , Cynthia Ferre  2 , Charlan D Kroelinger  2 , Katy B Kozhimannil  3 , Elena V Kuklina  2
Affiliations

Trends and Distribution of In-Hospital Mortality Among Pregnant and Postpartum Individuals by Pregnancy Period

Lindsay K Admon et al. JAMA Netw Open. .

Erratum in

  • Data Error in Discussion.
    [No authors listed] [No authors listed] JAMA Netw Open. 2022 Aug 1;5(8):e2232512. doi: 10.1001/jamanetworkopen.2022.32512. JAMA Netw Open. 2022. PMID: 36018594 Free PMC article. No abstract available.

Abstract

This cross-sectional study investigates trends in death rates and proportion of deaths by pregnancy period among pregnant and postpartum individuals from 1994 to 2019.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Admon reported receiving an interprofessional contract from the Centers for Disease Control and Prevention during the conduct of the study and grants from the National Institutes of Health (NIH) and Commonwealth Fund and personal fees from the NIH and Health Resources and Services Administration outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Trends in In-Hospital Mortality Among Pregnancy Hospitalizations
Data are from the National Inpatient Sample. Temporal trends in the rate of inpatient mortality associated with each pregnancy period were assessed using orthogonal polynomial coefficients calculated recursively. P value was calculated for these linear trend tests. All analyses were performed using SAS statistical software version 9.4 (SAS Institute), with 2-sided tests and an α = .05 threshold.
Figure 2.
Figure 2.. Distribution of Hospitalizations and In-Hospital Deaths by Pregnancy Period
Data are from 2017 to 2019.
See this image and copyright information in PMC

References

    1. Burgess APH, Dongarwar D, Spigel Z, et al. . Pregnancy-related mortality in the United States, 2003-2016: age, race, and place of death. Am J Obstet Gynecol. 2020;222(5):489.e1-489.e8. doi:10.1016/j.ajog.2020.02.020 - DOI - PubMed
    1. Mogos MF, Liese KL, Thornton PD, Manuck TA, OʼBrien WD Jr, McFarlin BL. Inpatient maternal mortality in the United States, 2002-2014. Nurs Res. 2020;69(1):42-50. doi:10.1097/NNR.0000000000000397 - DOI - PMC - PubMed
    1. Healthcare Cost and Utilization Project . Overview of the National (Nationwide) Inpatient Sample (NIS). Agency for Healthcare Research and Quality. Accessed June 23, 2022. https://www.hcup-us.ahrq.gov/nisoverview.jsp
    1. Main EK, Cape V, Abreo A, et al. . Reduction of severe maternal morbidity from hemorrhage using a state perinatal quality collaborative. Am J Obstet Gynecol. 2017;216(3):298.e1-298.e11. doi:10.1016/j.ajog.2017.01.017 - DOI - PubMed
    1. Chen J, Cox S, Kuklina EV, Ferre C, Barfield W, Li R. Assessment of incidence and factors associated with severe maternal morbidity after delivery discharge among women in the US. JAMA Netw Open. 2021;4(2):e2036148. doi:10.1001/jamanetworkopen.2020.36148 - DOI - PMC - PubMed

Publication types