Evidence map›Paper›PMID 40700112›Full record

ArticleMedical sciences (Basel, Switzerland)2025

National Trends in Admissions, Treatments, and Outcomes for Dilated Cardiomyopathy (2016-2021).

Vivek Joseph Varughese, Abdifitah Mohamed, Vignesh Krishnan Nagesh, Adam Atoot

Abstract read
In one paragraph

Article in Medical sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Vivek Joseph VarugheseDepartment of Internal Medicine, University of South Carolina-Prisma Health, Columbia, SC 29201, USA.
Abdifitah MohamedDepartment of Internal Medicine, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-8909-7424
Vignesh Krishnan NageshDepartment of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA.
Adam AtootDepartment of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDilated Cardiomyopathy (DCM) is one of the leading causes of non-ischemic cardiomyopathy in the United States (US). The aim of our study is to analyze the general trends in DCM admissions between 2016 and 2021, and analyze social and healthcare disparities in terms of treatments and outcomes.

methodsNational Inpatient Sample (NIS) data for the years 2016 to 2021 were used for the analysis. General population trends were analyzed. Normality of data distribution was tested using the Kolmogorov-Smirnov test and homogeneity was assessed using Levine's test. One-way ANOVA was used after confirmation of normality of distribution to analyze social and healthcare disparities. Subgroup analysis was conducted, with the paired

resultsA total of 5262 admissions for DCM were observed between 2016 and 2021. A general declining trend was observed in the total number of DCM admissions, with a 33.51% decrease in total admissions in 2021 compared to 2016. All-cause in-hospital mortality remained stable across the years (between 3.5% and 4.5%). A total of 15.3% of admissions had CRT/ICD devices in place. A total of 425 patients (8.07%) for DCM underwent HT, and 214 admissions for DCM (4.06%) underwent LVAD placements between 2016 and 2021 In terms of interventions for DCM, namely Cardiac Resynchronization Therapy (CRT), Left Ventricular Assist Devices (LVADs) and Heart Transplantations (HTs), significant variance was observed in the mean age of the admissions with admissions over the mean age of 55 had lower number of interventions. Significant variance in terms of sex was observed for DCM admissions receiving HT, with lower rates observed for females. In terms of quarterly income, patients belonging to the lowest fourth quartile had higher rates of LVAD and HT compared to general DCM admissions. In the multivariate regression analysis, age at admission had significant association with lower chances of receiving LVADs and HT among DCM admissions, and significant association with higher chances of all-cause mortality during the hospital stay.

conclusionsA general declining trend in the total number of DCM admissions was observed between 2016 and 2021. Significant gender disparities were seen with lower rates of females with DCM receiving LVADs and HT. DCM admissions with mean age of 55 and above were found to have significantly lower rates of receiving LVADs and HT, and higher chances of all-cause mortality during the admission.

Indexed as

Cardiomyopathy, DilatedHospitalizationPatient AdmissionAdultAgedFemaleHealthcare DisparitiesHumansMaleMiddle AgedTreatment OutcomeUnited StatesCRTdilated cardiomyopathyheart transplantationLVAD

Identifiers

PMID40700112
PMCPMC12286279

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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.