Literature DB >> 28214425

Favorable cardiovascular risk factor profile is associated with lower healthcare expenditure and resource utilization among adults with diabetes mellitus free of established cardiovascular disease: 2012 Medical Expenditure Panel Survey (MEPS).

David I Feldman1, Javier Valero-Elizondo2, Joseph A Salami3, Jamal S Rana4, Oluseye Ogunmoroti3, Chukwuemeka U Osondu3, Erica S Spatz5, Salim S Virani6, Ron Blankstein7, Michael J Blaha8, Emir Veledar3, Khurram Nasir9.   

Abstract

BACKGROUND AND AIMS: Given the prevalence and economic burden of diabetes mellitus (DM), we studied the impact of a favorable cardiovascular risk factor (CRF) profile on healthcare expenditures and resource utilization among individuals without cardiovascular disease (CVD), by DM status.
METHODS: 25,317 participants were categorized into 3 mutually-exclusive strata: "Poor", "Average" and "Optimal" CRF profiles (≥4, 2-3, 0-1 CRF, respectively). Two-part econometric models were utilized to study cost data.
RESULTS: Mean age was 45 (48% male), with 54% having optimal, 39% average, and 7% poor CRF profiles. Individuals with DM were more likely to have poor CRF profile vs. those without DM (OR 7.7, 95% CI 6.4, 9.2). Individuals with DM/poor CRF profile had a mean annual expenditure of $9,006, compared to $6,461 among those with DM/optimal CRF profile (p < 0.001).
CONCLUSIONS: A favorable CRF profile is associated with significantly lower healthcare expenditures and utilization in CVD-free individuals across DM status, suggesting that these individuals require aggressive individualized prescriptions targeting lifestyle modifications and therapeutic treatments.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Cardiovascular risk factor profile; Diabetes mellitus; Healthcare expenditures; Resource utilization

Mesh:

Year:  2017        PMID: 28214425     DOI: 10.1016/j.atherosclerosis.2017.02.004

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  4 in total

1.  Privacy-preserving Sequential Pattern Mining in distributed EHRs for Predicting Cardiovascular Disease.

Authors:  Eric W Lee; Li Xiong; Vicki Stover Hertzberg; Roy L Simpson; Joyce C Ho
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2021-05-17

2.  Editorial: Cardiovascular Disease and Diabetes.

Authors:  Gaetano Santulli
Journal:  Front Endocrinol (Lausanne)       Date:  2019-05-16       Impact factor: 5.555

3.  Income disparity and utilization of cardiovascular preventive care services among U.S. adults.

Authors:  Andi Shahu; Victor Okunrintemi; Martin Tibuakuu; Safi U Khan; Martha Gulati; Francoise Marvel; Roger S Blumenthal; Erin D Michos
Journal:  Am J Prev Cardiol       Date:  2021-11-06

4.  Association of cardiovascular risk factor profile and financial hardship from medical bills among non-elderly adults in the United States.

Authors:  Gowtham R Grandhi; Javier Valero-Elizondo; Reed Mszar; Eric J Brandt; Amarnath Annapureddy; Rohan Khera; Anshul Saxena; Salim S Virani; Ron Blankstein; Nihar R Desai; Michael J Blaha; Faisal H Cheema; Farhaan S Vahidy; Khurram Nasir
Journal:  Am J Prev Cardiol       Date:  2020-07-13
  4 in total

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