Fetal Autopsy Rates in the United States: Analysis of National Vital Statistics.

Publication/Presentation Date

11-1-2022

Abstract

OBJECTIVE: To identify rates of fetal autopsy in the United States as well as demographic and clinical characteristics related to consent to autopsy after stillbirth.

METHODS: This is a population-based retrospective cohort study using U.S. fetal death certificates for stillborn fetuses (20 weeks of gestation or more) delivered between January 2014 and December 2016. Multiple gestations were excluded. Fetal autopsy rates were calculated by gestational age, maternal age, self-reported race and ethnicity, education, and having at least one living child. Multivariate logistic regression to adjust for potential confounders was performed.

RESULTS: There were 60,328 stillbirths meeting inclusion criteria. Overall, fetal autopsy was performed in 20.9% of stillbirths. Non-Hispanic Black women had the highest rate of fetal autopsy (22.9%, 95% CI 22.3-23.6%), compared with non-Hispanic White women (20.4%, 95% CI 20.0-20.9%) and Hispanic women (19.6%, 95% CI 19.0-20.3%) ( P < .001). After adjusting for potential confounders, maternal non-Hispanic Black race (adjusted odds ratio [aOR] 1.22, 95% CI 1.16-1.29), higher education (graduate degree: aOR 1.62, 95% CI 1.47-1.79), and higher gestational age (term: aOR 2.08, 95% CI 1.95-2.23) were associated with increased aORs for fetal autopsy. Maternal age 40 years or older (aOR 0.77 95% CI 0.63-0.92) and having at least one living child (aOR 0.74, 95% CI 0.71-0.78) were associated with a decreased aOR of having a fetal autopsy. Women of American Indian or Alaska Native decent had decreased uptake of fetal autopsy compared with non-Hispanic White women (aOR 0.72, 95% CI 0.58-0.90).

CONCLUSION: Fetal autopsy rates are low throughout the United States. The reasons for low autopsy rates warrant further exploration to inform strategies to increase availability and uptake.

Volume

140

Issue

5

First Page

869

Last Page

873

ISSN

1873-233X

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

36201780

Department(s)

Administration and Leadership

Document Type

Article

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