Literature DB >> 24690304

Disabling disease codes predict worse outcomes for acute medical admissions.

S H Chotirmall1, S Picardo, J Lyons, M D'Alton, D O'Riordan, B Silke.   

Abstract

BACKGROUND: Concurrent with an extension in longevity, a prodrome of ill-health ('disability' identifiable by certain International Classification of Disease (ICD) 9/ICD10 codes) predates the acute emergency presentation. To date, no study has assessed the effect of such 'disability' on outcomes of emergency medical admissions. AIM: To devise a new method of scoring the burden of 'disability' and assess its relevance to outcomes of acute hospital admissions.
METHODS: All emergency admissions (67 971 episodes in n = 37 828 patients) to St James' Hospital, Dublin, Ireland over an 11-year period (2002-2012) were studied, and 30-day in-hospital mortality and length of stay were assessed as objective end-points. Patients were classified according to a validated 'disability' classification method and scored from 0 to 4+ (5 classes), dependent on number of ICD9/ICD10 'hits' in hospital episode codes.
RESULTS: A disabling score of zero was present in 10.6% of patients. Scores of 1, 2, 3 and 4+ (classified by the number of organ systems involved) occurred with frequencies of 23.3%, 28.7%, 21.9% and 15.5% respectively. The 'disability' score was strongly driven by age. The 30-day mortality rates were 0.9% (no score), 2.6%, 4.1%, 6.3% and 10.9%. Surviving patients remained in hospital for medians of 1.8 (no score), 3.9, 6.1, 8.1 and 9.7 days respectively. High 'disability' and illness severity predicted a particularly bad outcome.
CONCLUSION: Disability burden, irrespective of organ system at emergency medical admission, independently predicts worse outcomes and a longer in-hospital stay.
© 2014 The Authors; Internal Medicine Journal © 2014 Royal Australasian College of Physicians.

Entities:  

Keywords:  comorbidity; disability; emergency; mortality; patient admission

Mesh:

Year:  2014        PMID: 24690304     DOI: 10.1111/imj.12440

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


  12 in total

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