Evidence map›Paper›PMID 37216972›Full record

ArticleAmerican journal of perinatology2024

Early Postpartum Hospital Encounters among Patients with Genitourinary and Wound Infections during Hospitalization for Birth.

Stephanie A Leonard, Anna I Girsen, Paula Trepman, Suzan L Carmichael, Kelly Darmawan, Alexander J Butwick, Ronald S Gibbs

Open access · greenAbstract read
In one paragraph

Article in American journal of perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Stephanie A LeonardDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.ORCID 0000-0001-8213-1319
Anna I GirsenDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.
Paula TrepmanDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.
Suzan L CarmichaelDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.
Kelly DarmawanDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.
Alexander J ButwickDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, California.
Ronald S GibbsDepartment of Obstetrics and Gynecology, Stanford University, Stanford, California.ORCID 0000-0002-6130-2702
Stanford University · US

Funding

Optimizing treatment of chronic hypertension in pregnancy using a national distributed data networkK01HL171699 · NHLBI · STANFORD UNIVERSITY · PI Stephanie A. Leonard · 2024 to 2026
$514k
NHLBI NIH HHS K01 HL171699
6 · The paper itself

Abstract

objectivesThis study aimed to assess the associations between genitourinary and wound infections during the birth hospitalization and early postpartum hospital encounters, and to evaluate clinical risk factors for early postpartum hospital encounters among patients with genitourinary and wound infections during the birth hospitalization. STUDY

designWe conducted a population-based cohort study of births in California during 2016 to 2018 and postpartum hospital encounters. We identified genitourinary and wound infections using diagnosis codes. Our main outcome was early postpartum hospital encounter, defined as a readmission or emergency department (ED) visit within 3 days after discharge from the birth hospitalization. We evaluated the association of genitourinary and wound infections (overall and subtypes) with early postpartum hospital encounter using logistic regression, adjusting for sociodemographic factors and comorbidities and stratified by mode of birth. We then evaluated factors associated with early postpartum hospital encounter among patients with genitourinary and wound infections.

resultsAmong 1,217,803 birth hospitalizations, 5.5% were complicated by genitourinary and wound infections. Genitourinary or wound infection was associated with an early postpartum hospital encounter among patients with both vaginal births (2.2%; adjusted risk ratio [aRR[: 1.26; 95% confidence interval [CI]: 1.17-1.36) and cesarean births (3.2%; aRR: 1.23; 95% CI: 1.15-1.32). Patients with a cesarean birth and a major puerperal infection or wound infection had the highest risk of an early postpartum hospital encounter (6.4 and 4.3%, respectively). Among patients with genitourinary and wound infections during the birth hospitalization, factors associated with an early postpartum hospital encounter included severe maternal morbidity, major mental health condition, prolonged postpartum hospital stay, and, among cesarean births, postpartum hemorrhage (

conclusionGenitourinary and wound infections during hospitalization for birth may increase risk of a readmission or ED visit within the first few days after discharge, particularly among patients who have a cesarean birth and a major puerperal infection or wound infection. KEY POINTS: · In all, 5.5% of patients giving birth had a genitourinary or wound infection (GWI).. · A total of 2.7% of GWI patients had a hospital encounter within 3 days of discharge after birth.. · Major puerperal infection and wound infection had the highest risk of an early hospital encounter.. · Among GWI patients, several birth complications were associated with an early hospital encounter..

Indexed as

HospitalizationPatient ReadmissionAdultCaliforniaCesarean SectionCohort StudiesDelivery, ObstetricEmergency Service, HospitalFemaleHumansLogistic ModelsPostpartum PeriodPregnancyPuerperal InfectionRisk FactorsUrinary Tract Infections

Identifiers

PMID37216972
PMCPMC11479657
OpenAlexW4377232506

What OpenQuestion holds

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Registered trials

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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.