Journal article
Data on clinical and economic burden associated with pulmonary arterial hypertension related hospitalizations in the United States
Data in brief, v 32, 106303
01 Oct 2020
PMID: 32995395
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A comprehensive description of the contemporary trends in pulmonary arterial hypertension (PAH) related hospitalizations, associated inpatient outcomes and predictors of worse outcomes were reported in our paper recently published in the International Journal of Cardiology [1]. Our observational analysis utilized ten year of national inpatient sample from January 1st 2007 through December 31st 2016. This Data in Brief companion paper aims to report the specific statistical highlights of the entire ten-year PAH cohort including demographics, hospital characteristics, regional variation, prevalence of comorbidities, and multivariable regression analysis used to examine the factors associated with increased inpatient mortality and prolonged length of stay. Additionally, we report trends in the cost (the actual amount of money reimbursed to the hospitals) of PAH related hospitalizations over the past ten years. (C) 2020 The Authors. Published by Elsevier Inc.
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Details
- Title
- Data on clinical and economic burden associated with pulmonary arterial hypertension related hospitalizations in the United States
- Creators
- Abhishek Chaturvedi - Virginia Commonwealth UniversityManreet Kanwar - Allegheny General HospitalParul Chandrika - Vidant Medical CenterThenappan Thenappan - University of MinnesotaAmresh Raina - Allegheny General HospitalRaymond L. Benza - The Ohio State University
- Publication Details
- Data in brief, v 32, 106303
- Publisher
- Elsevier
- Number of pages
- 13
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Cardiology
- Web of Science ID
- WOS:000583229100264
- Scopus ID
- 2-s2.0-85090913841
- Other Identifier
- 991021932186604721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Multidisciplinary Sciences