Cardiovascular outcomes in acute coronary syndrome patients with cancer: a statewide population-linkage study

Abstract Background Advances in oncology treatment have led to an increase in the number of cancer survivors. As a result, the number of acute coronary syndrome (ACS) patients with cancer is increasing and the outcomes of these patients are not well described. Purpose This study aimed to examine revascularisation strategies and all cause and cardiovascular death in ACS patients with and without cancer. Methods Hospitalised patients in New South Wales, Australia, from July 2006 to December 2020 with a primary diagnosis of ACS were identified from the statewide Admitted Patient Data Collection database. Patients were stratified into those with or without a history of cancer (non-melanoma skin cancers excluded). Propensity scoring matching (PSM) for the variables of age, gender and cardiovascular risk factors was performed with each cancer patient matched to two non-cancer patients. Cox proportional hazards regression model was used to evaluate the hazard ratios of all-cause mortality between individuals with a history of cancer in the 5 years preceding their hospital admission, and those without. Additionally, Fine-Gray competing risk analysis was performed for cardiovascular death with non-cardiovascular mortality as the competing event. Results During the study period, 193,848 patients were admitted with ACS. 12,543 patients had a history of cancer and were PSM to 25,085 patients without cancer. The median age was 75 (Q1-Q3 67-82) years with 69% male and hypertension the most prevalent risk factor (55%) (Table 1). ACS patients with cancer had clinically comparable, rates of percutaneous revascularisation (36 vs 37%, p=0.07) and coronary artery bypass grafting (11 vs 13%, p<0.001) with ACS patients without cancer. During a median follow up of 8.6 (95% CI 8.4-8.8) years, ACS patients with a history of cancer had a significant higher risk of all cause death (HR 1.42 95% CI [1.38-1.46]) and cardiovascular death (SHR 1.14 [1.11-1.18]). The cumulative incidence function demonstrated cardiovascular death in those with a cancer history occurred in 20% by approximately 1.4 years follow up compared to 2.5 years in those without cancer (Figure 1). Conclusion ACS patients with cancer have a higher risk of all cause death and cardiovascular death compared to those without a history of cancer with clinically comparably revascularisation rates. Further studies to determine the cause of increased cardiovascular death in ACS patients with cancer are required.Figure 1

Authors

Institutions

Publication Details

Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.3200
Primary Topic
Chemotherapy-induced cardiotoxicity and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cardiovascular outcomes in acute coronary syndrome patients with cancer: a statewide population-linkage study

Christopher Yu, Kazuaki Negishi, Leonard Kritharides, A. Ng et al.
European Heart Journal
Chemotherapy-induced cardiotoxicity and mitigation
article

Cardiovascular outcomes in acute coronary syndrome patients with cancer: a statewide population-linkage study

Christopher Yu, Kazuaki Negishi, Leonard Kritharides, A. Ng, David Brieger, Karice Hyun, Erdahl Teber
article en

Abstract

Abstract Background Advances in oncology treatment have led to an increase in the number of cancer survivors. As a result, the number of acute coronary syndrome (ACS) patients with cancer is increasing and the outcomes of these patients are not well described. Purpose This study aimed to examine revascularisation strategies and all cause and cardiovascular death in ACS patients with and without cancer. Methods Hospitalised patients in New South Wales, Australia, from July 2006 to December 2020 with a primary diagnosis of ACS were identified from the statewide Admitted Patient Data Collection database. Patients were stratified into those with or without a history of cancer (non-melanoma skin cancers excluded). Propensity scoring matching (PSM) for the variables of age, gender and cardiovascular risk factors was performed with each cancer patient matched to two non-cancer patients. Cox proportional hazards regression model was used to evaluate the hazard ratios of all-cause mortality between individuals with a history of cancer in the 5 years preceding their hospital admission, and those without. Additionally, Fine-Gray competing risk analysis was performed for cardiovascular death with non-cardiovascular mortality as the competing event. Results During the study period, 193,848 patients were admitted with ACS. 12,543 patients had a history of cancer and were PSM to 25,085 patients without cancer. The median age was 75 (Q1-Q3 67-82) years with 69% male and hypertension the most prevalent risk factor (55%) (Table 1). ACS patients with cancer had clinically comparable, rates of percutaneous revascularisation (36 vs 37%, p=0.07) and coronary artery bypass grafting (11 vs 13%, p<0.001) with ACS patients without cancer. During a median follow up of 8.6 (95% CI 8.4-8.8) years, ACS patients with a history of cancer had a significant higher risk of all cause death (HR 1.42 95% CI [1.38-1.46]) and cardiovascular death (SHR 1.14 [1.11-1.18]). The cumulative incidence function demonstrated cardiovascular death in those with a cancer history occurred in 20% by approximately 1.4 years follow up compared to 2.5 years in those without cancer (Figure 1). Conclusion ACS patients with cancer have a higher risk of all cause death and cardiovascular death compared to those without a history of cancer with clinically comparably revascularisation rates. Further studies to determine the cause of increased cardiovascular death in ACS patients with cancer are required.Figure 1

European Heart JournalVol. 45(Supplement_1)
The University of Sydney (AU), Concord Repatriation General Hospital (AU)
Good health and well-being
Openalex Percentile: Top 65%
Chemotherapy-induced cardiotoxicity and mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.