Abstract

Aims

This study aims to examine the temporal trends and outcomes in patients who undergo percutaneous coronary intervention (PCI) with a previous or current diagnosis of cancer, according to cancer type and the presence of metastases.

Methods and results

Individuals undergoing PCI between 2004 and 2014 in the Nationwide Inpatient Sample were included in the study. Multivariable analyses were used to determine the association between cancer diagnosis and in-hospital mortality and complications. 6 571 034 PCI procedures were included and current and previous cancer rates were 1.8% and 5.8%, respectively. Both rates increased over time and the four most common cancers were prostate, breast, colon, and lung cancer. Patients with a current lung cancer had greater in-hospital mortality (odds ratio (OR) 2.81, 95% confidence interval (95% CI) 2.37–3.34) and any in-hospital complication (OR 1.21, 95% CI 1.10–1.36), while current colon cancer was associated with any complication (OR 2.17, 95% CI 1.90–2.48) and bleeding (OR 3.65, 95% CI 3.07–4.35) but not mortality (OR 1.39, 95% CI 0.99–1.95). A current diagnosis of breast was not significantly associated with either in-hospital mortality or any of the complications studied and prostate cancer was only associated with increased risk of bleeding (OR 1.41, 95% CI 1.20–1.65). A historical diagnosis of lung cancer was independently associated with an increased OR of in-hospital mortality (OR 1.65, 95% CI 1.32–2.05).

Conclusions

Cancer among patients receiving PCI is common and the prognostic impact of cancer is specific both for the type of cancer, presence of metastases and whether the diagnosis is historical or current. Treatment of patients with a cancer diagnosis should be individualized and involve a close collaboration between cardiologists and oncologists.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
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