Evidence map›Paper›PMID 38942123›Full record

ArticlePreventive medicine2024

Co-occurring conditions during pregnancy and hospitalizations in the first year postpartum among persons with opioid use disorder.

Jessica Frankeberger, Robert W S Coulter, Marian Jarlenski, Elizabeth E Krans, Christina Mair

Abstract read
In one paragraph

Article in Preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Jessica FrankebergerDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA; Department of Pediatrics, University of California San Diego, San Diego, CA, USA. Electronic address: jfrankeberger@health.ucsd.edu.
Robert W S CoulterDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.
Marian JarlenskiDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.
Elizabeth E KransDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Magee-Womens Research Institute, Pittsburgh, PA, USA.
Christina MairDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Developing and Piloting a School Staff-Based Intervention to Reduce Alcohol and Drug Use Among Sexual Minority YouthK01AA027564 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COULTER, ROBERT W.S. · 2019 to 2023
$744k
Social Ecological Contexts of Opioid Overdose and Hospital Readmission in the Postpartum PeriodF31DA052142 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRANKEBERGER, JESSICA · 2020 to 2022
$133k
NCATS NIH HHS UL1 TR001857NIAAA NIH HHS K01 AA027564NIDA NIH HHS F31 DA052142NIDA NIH HHS T32 DA023356
6 · The paper itself

Abstract

introductionPregnant persons with opioid use disorder (OUD) face a multitude of comorbid conditions that may increase the risk of adverse drug and health outcomes. This study characterizes typologies of comorbidities among pregnant persons with OUD and assesses the associations of these typologies with hospitalizations in the first year postpartum.

methodsA cohort of pregnant persons with OUD at delivery in 2018 were identified in a Pennsylvania statewide hospital dataset (n = 2055). Latent class analysis assessed 12 comorbid conditions including substance use disorders (SUDs), mental health conditions, and infections. Multivariable logistic regressions examined the association between comorbidity classes and hospitalizations (all-cause, OUD-specific, SUD-related, mental health-related) during early (0-42 days) and late (43-365 days) postpartum.

resultsA three-class model best fit the data. Classes included low comorbidities (56.9% of sample; low prevalence of co-occurring conditions), moderate polysubstance/depression (18.4%; some SUDs, all with depression), and high polysubstance/bipolar disorder (24.7%; highest probabilities of SUDs and bipolar disorder). Overall, 14% had at least one postpartum hospitalization. From 0 to 42 days postpartum, the moderate polysubstance/depression and high polysubstance/bipolar disorder classes had higher odds of all-cause and mental health-related hospitalization, compared to the low comorbidities class. From 43 to 365 days postpartum, the high polysubstance/bipolar disorder class had higher odds of all-cause hospitalizations, while both the high polysubstance/depression and moderate polysubstance/bipolar disorder classes had higher odds of SUD-related and mental health-related hospitalizations compared to the low comorbidities class.

conclusionsFindings highlight the need for long-term, multidisciplinary healthcare delivery interventions to address comorbidities and prevent adverse postpartum outcomes.

Indexed as

ComorbidityHospitalizationOpioid-Related DisordersPostpartum PeriodPregnancy ComplicationsAdultCohort StudiesFemaleHumansMental DisordersPennsylvaniaPregnancyPrevalenceYoung AdultComorbiditiesHepatitis CHospitalizationsLatent class analysisMental healthOpioid use disorderPostpartumPregnancyPrenatal substance use

Identifiers

PMID38942123
PMCPMC11421478

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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.