Evidence map›Paper›PMID 37339672›Full record

ArticleAmerican journal of perinatology2024

Associations between Anemia and Outcomes of Pregnant Patients with Pyelonephritis.

Hannah M Cunningham, Hope E Knochenhauer, Jerome J Federspiel, Lauren E Wein, Anna E Denoble, R Phillips Heine, Sarah K Dotters-Katz

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Hannah M CunninghamDepartment of Obstetrics and Gynecology, Yale University, New Haven, Connecticut.
Hope E KnochenhauerDepartment of Obstetrics and Gynecology, Staten Island University, Staten Island, New York.ORCID 0000-0001-5137-6428
Jerome J FederspielDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0003-0321-6280
Lauren E WeinDepartment of Obstetrics and Gynecology, Staten Island University, Staten Island, New York.
Anna E DenobleDepartment of Obstetrics and Gynecology, Yale University, New Haven, Connecticut.ORCID 0000-0001-9767-114X
R Phillips HeineDepartment of Obstetrics and Gynecology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Sarah K Dotters-KatzDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina.
Duke University · USStaten Island University Hospital · USYale University · USWake Forest University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NRSA Training CoreTL1TR002555 · NCATS · DUKE UNIVERSITY · PI EDELMAN, DAVID · 2018 to 2022
$3.7M
National Center for Advancing Translational Sciences of the National Institutes of Health TL1TR002555NCATS NIH HHS TL1 TR002555NCATS NIH HHS TL1TR002555NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

objectiveThis study aims to determine if pregnant patients with both pyelonephritis and anemia are at an increased risk of adverse maternal outcomes compared with those with pyelonephritis without anemia. STUDY

designWe conducted a retrospective cohort study utilizing the Nationwide Readmissions Database (NRD). Patients with antepartum pyelonephritis-associated hospitalizations from October 2015 to December 2018 were included. International Classification of Diseases codes were used to identify pyelonephritis, anemia, maternal comorbidities, and severe maternal morbidities. The primary outcome was a composite of severe maternal morbidity, as defined by the Centers for Disease Control criteria. Univariate statistical methods, weighted to account for complex survey methods in the NRD, were used to assess for associations between anemia, baseline characteristics, and patient outcomes. Weighted logistic and Poisson regressions were used to assess for associations between anemia and outcomes, adjusting for clinical comorbidities and other confounding factors.

resultsIn total, 29,296 pyelonephritis admissions were identified, corresponding to a weighted national estimate of 55,135 admissions. Of these, 11,798 (21.3%) were anemic. The rate of severe maternal morbidity was higher among anemic patients than nonanemic patients (27.8 vs. 8.9%, respectively,

conclusionAmong pregnant patients with pyelonephritis, those with anemia are at greater risk of severe maternal morbidity and longer hospital stay. KEY POINTS: · Anemia is associated with longer stays for pyelo.. · Anemic pyelo patients have increased morbidity.. · Anemic pyelo patients have increased sepsis risk..

Indexed as

AnemiaPyelonephritisAdultComorbidityDatabases, FactualFemaleHospitalizationHumansLogistic ModelsPatient ReadmissionPregnancyPregnancy ComplicationsPregnancy OutcomeRetrospective StudiesRisk FactorsUnited States

Identifiers

PMID37339672
PMCPMC10799185
OpenAlexW4381329485

What OpenQuestion holds

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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.