Evidence map›Paper›PMID 38633921›Full record

ArticleCureus2024

Ventricular Tachycardia in Patients With Peripartum Cardiomyopathy: Prevalence, Predictors, and Associated In-Hospital Adverse Events.

Omar Elkattawy, Ahmed Sabra, Sanjna Patel, Sherif Elkattawy, Julia Delorenzo, Navina Kumar, Mariam Abdeen, Hassan Elsamna, Fayez Shamoon

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

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

9 authors.

Omar ElkattawyInternal Medicine, Rutgers University, New Jersey Medical School, Newark, USA.
Ahmed SabraInternal Medicine, Rutgers University, New Jersey Medical School, Newark, USA.
Sanjna PatelInternal Medicine, Rutgers University, New Jersey Medical School, Newark, USA.
Sherif ElkattawyCardiology, Saint Joseph's University Medical Center, Paterson, USA.
Julia DelorenzoInternal Medicine, Rutgers University, New Jersey Medical School, Newark, USA.
Navina KumarInternal Medicine, Rutgers University, New Jersey Medical School, Newark, USA.
Mariam AbdeenInternal Medicine, Rowan University School of Osteopathic Medicine, Stratford, USA.
Hassan ElsamnaCollege of Medicine, Rutgers University, New Brunswick, USA.
Fayez ShamoonCardiology, Saint Joseph's University Medical Center, Paterson, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction  The purpose of this study was to determine the prevalence of ventricular tachycardia (VT) among patients admitted with peripartum cardiomyopathy (PPCM) as well as to analyze the independent association of VT with in-hospital outcomes among PPCM patients. Methods Data were obtained from the National Inpatient Sample from January 2016 to December 2019. We assessed predictors of VT in patients admitted with PPCM. We also assessed the independent association of VT with clinical outcomes among patients admitted with PPCM. Results From 2016 to 2019, 4730 patients with PPCM were reported to the national inpatient sample database, 309 of which developed VT (6.5%). Using multivariate analysis, we found predictors of VT to include patient characteristics and factors such as age (adjusted OR (aOR)=1.020, p=0.023), chronic kidney disease (aOR=1.440, p=0.048), coagulopathy (aOR=1.964, p=0.006), and atrial fibrillation (aOR=3.965, p<0.001). Conversely, pre-eclampsia was significantly associated with a decreased risk of VT in PPCM patients (aOR=0.218, p=0.001).  Conclusion  In a large cohort of patients admitted with peripartum cardiomyopathy, we found the prevalence of VT to be 6.5%. Risk factors for VT in this patient population included conditions such as coagulopathy and atrial fibrillation.

Indexed as

cardio-obstetricsdiagnosis of peripartum cardiomyopathyperipartum cardiomypathyventricular arrhythmiaventricular tachycardia (vt)

Identifiers

PMID38633921
PMCPMC11022975

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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.