Literature DB >> 9656664

Evaluation of complication rates after coronary artery bypass surgery using administrative data.

W A Ghali1, R E Hall, A S Ash, A K Rosen, M A Moskowitz.   

Abstract

Our objectives were (1) to determine if studying hospital complication rates after coronary artery bypass graft (CABG) surgery provides information not available when only mortality is studied, and (2) to reexplore the utility of ICD-9-CM administrative data for CABG outcomes assessment. Using data from Massachusetts, we identified CABG cohorts from 1990 and 1992 to respectively develop and validate multivariate risk adjustment models predicting in-hospital mortality and complications. The resulting models had good discrimination and calibration. In 1992, adjusted hospital complication rates ranged widely from 13.0% to 57.6%, while mortality rates ranged from 1.4% to 6.1%. Hospitals with high complication rates tended to have high mortality (r = 0.74, p = 0.006), but 2 of the 12 hospitals studied ranked quite differently when judged by complications rather than mortality. We conclude that (1) complications after CABG occur frequently and may provide information about hospital quality beyond that obtained from hospital mortality rates, and that (2) administrative data continue to be a promising resource for outcomes research.

Mesh:

Year:  1998        PMID: 9656664

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  Association between having a caregiver and clinical outcomes 1 year after hospitalization for cardiovascular disease.

Authors:  Lori Mosca; Brooke Aggarwal; Heidi Mochari-Greenberger; Ming Liao; Judith Blair; Bin Cheng; Mariceli Comellas; Lisa Rehm; Niurka Suero-Tejeda; Tianna Umann
Journal:  Am J Cardiol       Date:  2011-09-29       Impact factor: 2.778

2.  Coronary artery bypass graft surgery: socioeconomic inequalities in access and in 30 day mortality. A population-based study in Rome, Italy.

Authors:  C Ancona; N Agabiti; F Forastiere; M Arcà; D Fusco; S Ferro; C A Perucci
Journal:  J Epidemiol Community Health       Date:  2000-12       Impact factor: 3.710

3.  Gender differences in clinical outcomes among diabetic patients hospitalized for cardiovascular disease.

Authors:  Laura Flink; Heidi Mochari-Greenberger; Lori Mosca
Journal:  Am Heart J       Date:  2013-04-06       Impact factor: 4.749

4.  The predictability of claim-data-based comorbidity-adjusted models could be improved by using medication data.

Authors:  Ji Hwan Bang; Soo-Hee Hwang; Eun-Jung Lee; Yoon Kim
Journal:  BMC Med Inform Decis Mak       Date:  2013-11-20       Impact factor: 2.796

  4 in total

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