Temporal changes in co-morbidity burden in patients having percutaneous coronary intervention and impact on prognosis

Potts, Jessica, Kwok, Chun Shing, Ensor, Joie, Rashid, Muhammad, Kadam, Umesh, Kinnaird, Tim, Curzen, Nicholas, Pancholy, Samir B., Van der Windt, Danielle, Riley, Richard D., Bagur, Rodrigo and Mamas, Mamas A. (2018) Temporal changes in co-morbidity burden in patients having percutaneous coronary intervention and impact on prognosis. American Journal of Cardiology, 122 (5), 712-722. (doi:10.1016/j.amjcard.2018.05.003).

Abstract

This study aims to evaluate the impact of co-morbidity burden on outcomes in patients who undergo percutaneous coronary intervention (PCI). We used the Nationwide Inpatient Sample to identify all PCI procedures undertaken in the United States from 2004 to 2014. We then determined co-morbidity burden for each patient record based on the Charlson Co-morbidity Score. Multivariable logistic regression models were used to examine the association between co-morbidity burden and in-hospital mortality other in-hospital complications. A total of 6,601,526 PCI procedures were included in the analysis. Overall co-morbidity burden increased over time, with severe co-morbidity burden (defined as a CCI score ≥3) increasing from 5.3% in 2004 to 14.2% in 2014 (p <0.0001). After adjustment for confounding factors increasing co-morbidity burden was independently associated with increased odds of in-hospital mortality, complications, length of hospital stay, and total cost of hospitalization post PCI. A CCI score of 1 was independently associated with an increase in the odds of in hospital mortality (odds ratio [OR] 1.19 [95% confidence interval [CI] 1.15 to 1.25]), a score of 2 associated with an almost 1.5-fold increase (OR 1.41 [95% CI 1.34 to 1.48]) and a score of ≥3 a 2-fold increase (OR 1.96 [95% CI 1.86 to 2.07]) compared with no co-morbid burden (CCI score of 0). In conclusion, our results show that co-morbid burden is independently associated with increased risk of in-hospital mortality, in-hospital complications, length of stay, and healthcare costs.

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Contributors

Author: Nicholas Curzen

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