Literature DB >> 30628747

The influence of Elixhauser comorbidity index on percutaneous coronary intervention outcomes.

Jessica Potts1, Vinayak Nagaraja1,2, Jassim Al Suwaidi3, Salvatore Brugaletta4, Sara C Martinez5, Chadi Alraies6, David Fischman7, Chun Shing Kwok1, Jim Nolan1, Darren Mylotte8, Mamas A Mamas1,9.   

Abstract

BACKGROUND: Clinical outcomes with respect to the evolution of comorbidity burden in national cohorts of patients undergoing PCI have not been reported.
OBJECTIVES: We sought to explore the association between comorbidity burden and periprocedural outcomes in patients treated with PCI in the National Inpatient Sample.
METHODS: 6,601,526 PCI procedures were identified between 2004 and 2014 and comorbidities were defined by the Elixhauser classification system (ECS) consisting of 30 comorbidity measures. Endpoints included in-hospital mortality, periprocedural complications, length of stay and cost. Patients were classified based on their ECS in five categories (ECS I < 0, ECS II = 0, ECS III = 1-5, ECS IV = 6-13, and ECS V ≥ 14).
RESULTS: Patients with a score over 13 had a fivefold increase in the odds of mortality (OR: 5.13, 95% CI: 4.76-5.54), major bleeding (OR: 11.46, 95% CI: 10.66-12.33) and doubled the hospitalization costs ($31,452 vs $17.566).
CONCLUSIONS: Our study of over six million PCI procedures demonstrates that patients with the greatest comorbid burden (as defined by an ECS of >13) have a fivefold increase risk of in-hospital mortality, a fourfold increase in in-hospital periprocedural complications and an 11-fold increase in major bleeding events once differences in baseline patient characteristics are adjusted for. In addition, ECS significantly impacts the length of stay and doubles the healthcare costs. Comorbid burden is an important predictor of poor outcomes after PCI and should be considered as part of the decision-making processes in patients undergoing PCI.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  Elixhauser classification system; PCI; healthcare costs; periprocedural complications

Year:  2019        PMID: 30628747     DOI: 10.1002/ccd.28072

Source DB:  PubMed          Journal:  Catheter Cardiovasc Interv        ISSN: 1522-1946            Impact factor:   2.692


  3 in total

1.  Non-psychiatric hospitalization length-of-stay for patients with psychotic disorders: A mixed methods study.

Authors:  Guy M Weissinger; J Margo Brooks Carthon; Bridgette M Brawner
Journal:  Gen Hosp Psychiatry       Date:  2020-07-31       Impact factor: 3.238

2.  Revascularisation strategies in patients with significant left main coronary disease during the COVID-19 pandemic.

Authors:  Mohamed O Mohamed; Nick Curzen; Mark de Belder; Andrew T Goodwin; James C Spratt; Lognathen Balacumaraswami; John Deanfield; Glen P Martin; Muhammad Rashid; Ahmad Shoaib; Chris P Gale; Tim Kinnaird; Mamas A Mamas
Journal:  Catheter Cardiovasc Interv       Date:  2021-03-25       Impact factor: 2.585

3.  Identifying prognostic factors for clinical outcomes and costs in four high-volume surgical treatments using routinely collected hospital data.

Authors:  N Salet; V A Stangenberger; F Eijkenaar; F T Schut; M C Schut; R H Bremmer; A Abu-Hanna
Journal:  Sci Rep       Date:  2022-04-07       Impact factor: 4.379

  3 in total

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