Evidence map›Paper›PMID 38902403›Full record

ArticleArchives of gynecology and obstetrics2024

Risk factors for readmission with preeclampsia: a call for more preventative surveillance and counseling.

Akash Jani, Kathryn Field, Maureen Shields, Marie Cabiya

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Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Akash Jani *Department of Obstetrics & Gynecology, Illinois Masonic Medical Center, Chicago, USA.
Kathryn Field *Department of Obstetrics & Gynecology, Illinois Masonic Medical Center, Chicago, USA. Kathryn.field@aah.org.ORCID 0000-0001-5385-7081
Maureen ShieldsAdvocate Aurora Research Institute (AARI), Milwaukee, USA.
Marie CabiyaDepartment of Obstetrics & Gynecology, Illinois Masonic Medical Center, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostpartum readmission for preeclampsia is a difficult predicament for patients which creates financial, psychosocial, and physical stress. It is often a challenge to predict postpartum preeclampsia and therefore identify patients that may be at risk prior to discharge. This study aims to identify risk factors in patients that are at high risk for readmission due to preeclampsia. The identification of these risk factors may also lead to enhanced education and counseling prior to discharge.

methodsResearchers conducted a case-control study using a data set collected from 2015 to 2022 looking at obstetric readmissions within 6 weeks of delivery and then stratified these patients for preeclampsia diagnosis. A control set was created within the healthcare system's electronic medical record's search tools for patients diagnosed with preeclampsia who were not readmitted to the hospital. This study evaluates 78 patients who were readmitted with a diagnosis of preeclampsia and compared to 77 patients who were diagnosed with preeclampsia who were not readmitted. Again, the aim of this study was to investigate risk factors for readmission among patients with preeclampsia.

resultsA multivariable logistic regression model was used to assess predictors which revealed that older age (OR 1.13, CI 1.03-1.24), no history of preeclampsia with or without severe features within pregnancy before delivery (OR 15.29, CI 5.56-41.98 and 13.58, CI 4.46-12.85), no aspirin use in pregnancy (OR 4.38, CI 2.02-9.48), and number of triage visits related to hypertension during prenatal care were all significant predictors for readmission due to preeclampsia.

conclusionWith these risk factors in mind, better counseling and preventative surveillance can be provided to patients. Future studies are needed to evaluate the effectiveness of predictive models developed using these found risk factors.

Indexed as

Patient ReadmissionPre-EclampsiaAdultCase-Control StudiesCounselingFemaleHumansLogistic ModelsPregnancyRisk FactorsYoung AdultHypertensive disease in pregnancyPostpartum preeclampsiaPreeclampsiaRisk factors

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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.