Evidence map›Paper›PMID 32846369›Full record

ArticleDrug and alcohol dependence2020

Substance use disorders and risk of severe maternal morbidity in the United States.

Marian Jarlenski, Elizabeth E Krans, Qingwen Chen, Scott D Rothenberger, Abigail Cartus, Kara Zivin, Lisa M Bodnar

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Marian JarlenskiDept of Health Policy and Management, University of Pittsburgh, 130 DeSoto Street Pittsburgh, PA 15261, USA. Electronic address: marian.jarlenski@pitt.edu.
Elizabeth E KransMagee-Womens Research Institute and Dept of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, 3380 Boulevard of the Allies, Pittsburgh, PA 15213, USA.
Qingwen ChenDept of Health Policy and Management, University of Pittsburgh, 130 DeSoto Street Pittsburgh, PA 15261, USA.
Scott D RothenbergerDept of General Internal Medicine, University of Pittsburgh, 200 Meyran Ave, Suite 300, Pittsburgh, PA 15213, USA.
Abigail CartusDept of Epidemiology, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA 15261 USA.
Kara ZivinDept of Psychiatry, University of Michigan, 2800 Plymouth Road, Building 16, Room 228W, Ann Arbor, MI 48109, USA.
Lisa M BodnarMagee-Womens Research Institute and Dept of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, 3380 Boulevard of the Allies, Pittsburgh, PA 15213, USA; Dept of Epidemiology, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA 15261 USA.
University of Pittsburgh · USMagee-Womens Research Institute · USUniversity of Michigan–Ann Arbor · US

Funding

Availability, accessibility, and structure of opioid use disorder treatment and maternal and child health outcomesR01DA045675 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JARLENSKI, MARIAN PATRICIA, KRANS, ELIZABETH E · 2018 to 2022
$3.4M
NIDA NIH HHS R01 DA045675
6 · The paper itself

Abstract

backgroundThe contribution of substance use disorders to the burden of severe maternal morbidity in the United States is poorly understood. The objective was to estimate the independent association between substance use disorders during pregnancy and risk of severe maternal morbidity.

methodsRetrospective analysis of a weighted 53.4 million delivery hospitalizations from 2003 to 2016 among females aged>18 in the National Inpatient Sample. We constructed measures of substance use disorders using diagnostic codes for cannabis, opioids, and stimulants (amphetamines or cocaine) abuse or dependence during pregnancy. The outcome was the presence of any of the 21 CDC indicators of severe maternal morbidity. Using weighted multivariable logistic regression, we estimated the association between substance use disorders and adjusted risk of severe maternal morbidity. Because older age at delivery is predictive of severe maternal morbidity, we tested for effect modification between substance use and maternal age by age group (18-34 y vs >34 y).

resultsPregnant women with an opioid use disorder had an increased risk of severe maternal morbidity compared with women without an opioid use disorder (18-34 years: aOR: 1.51; 95 % CI: 1.41,1.61, >34 years: aOR: 1.17; 95 % CI: 1.00,1.38). Compared with their counterparts without stimulant use disorders, pregnant women with a simulant use disorder (amphetamines, cocaine) had an increased risk of severe maternal morbidity (18-34 years: aOR: 1.92; 95 % CI: 1.80,2.0, >34 years: aOR: 1.85; 95 % CI: 1.66,2.06). Cannabis use disorders were not associated with an increased risk of severe maternal morbidity.

conclusionSubstance use disorders during pregnancy, particularly opioids, amphetamines, and cocaine use disorders, may contribute to severe maternal morbidity in the United States.

Indexed as

AdolescentAdultAgedFemaleHumansLogistic ModelsMaternal AgeOpioid-Related DisordersPregnancyPregnancy ComplicationsRetrospective StudiesSubstance-Related DisordersUnited StatesCannabis use disorderOpioid use disorderPregnancySevere maternal morbidityStimulant use disorder

Identifiers

PMID32846369
PMCPMC7606664
OpenAlexW3076399398

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.