Adherence to cardiovascular disease risk factor medications among patients with cancer: a systematic review

Cardiovascular Risk Assessment and Prevention in Cardio-Oncology: Beyond Traditional Risk Factors

This review goes beyond traditional approaches in cardio-oncology, highlighting often-neglected factors impacting patient care. Social determinants, environment, health care access, and gut microbiome significantly influence patient outcomes. Powerful tools like multi-omics and wearable technologies offer deeper insights into real-world experiences. The future lies in integrating these advancements with established practices to achieve precision cardio-oncology care. By crafting tailored therapies and continuously updating comprehensive management plans based on real-time data, we can unlock the full potential of personalized care for all patients.

Cardiovascular Considerations After Cancer Therapy: Gaps in Evidence and JACC: CardioOncology Expert Panel Recommendations

Cancer survivors, particularly those treated with anthracyclines and chest radiation, face an elevated risk of cancer therapy-related cardiovascular toxicity. These complications affect not only physical health, but also life expectancy. Risk factors for cancer therapy-related cardiovascular toxicity include age at which cancer treatment was received, the use of (potentially) cardiotoxic cancer therapies, and the presence of concomitant cardiovascular risk factors. Current guidelines provide recommendations for cardiovascular surveillance after cancer therapy, including type and frequency. All cancer survivors are advised to undergo annual clinical screenings and optimization of cardiovascular risk factors. Those at higher risk should undergo additional cardiovascular testing. This document aims to summarize the available evidence, present practical recommendations, and outline existent gaps in the current literature regarding cardiovascular care after cancer therapies.

Cardiovascular mortality in people with cancer compared to the general population: A systematic review and meta-analysis

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of non-cancer death in cancer survivors, but the risk of CVD varies between cancers.

OBJECTIVES

To synthesise available evidence on patterns and magnitude of CVD mortality risk.

METHODS

A systematic search of Medline (OVID), CINAHL and Scopus databases from 01-January-2000 to 16-July-2023 of studies of people with cancer, reporting CVD mortality in cancer population compared with a reference population (e.g. general population) as standardised mortality ratios (SMR). Meta-analysis of SMRs across cancer and CVD types were pooled using a random-effects model to allow for heterogeneity of the true effect size across studies.

RESULTS

We identified 136 studies from 16 countries. Sample sizes ranged from 157 to 7,529,481. The majority (n = 98; 72%) were conducted in the United States, followed by Europe (n = 22; 16%). The most common cancers studied were gastrointestinal (n = 34 studies), haematological (n = 31) and breast (n = 29). A total of 876 CVD SMRs were extracted across diverse CVD conditions. Of those, the majority (535; 61%) indicated an increased risk of CVD death (SMR >1), 109 (12%) a lower risk of CVD death (SMR <1) and 232 (27%) an equivalent risk (95% CI of SMR included 1) compared to the general population. The meta-analysis of all reported SMRs showed an increased risk of CVD death (SMR = 1.55, 95% CI = 1.40-1.72) in cancer survivors compared with the general population. The SMR varied between CVD conditions and ranged from 1.36 (95% CI = 1.29-1.44) for heart diseases to 1.56 (95% CI = 1.39-1.76) for cerebrovascular diseases. SMR varied across cancer types, ranging from 1.14 (95% CI = 1.04-1.25) for testicular/germ cell tumours to 2.82 (95% CI = 2.20-3.63) for brain/central nervous system tumours.

CONCLUSIONS

Cancer survivors are at increased risk of premature CVD mortality compared to the general population, but the risk varies by cancer type and CVD. Future research should focus on understanding mechanisms behind the increased CVD risk to develop appropriate interventions.

Exploring Frailty in the Intersection of Cardiovascular Disease and Cancer in Older People

Advances in cardiovascular therapies and cancer treatments have resulted in longer patient survival. The coexistence of cancer and cardiovascular disease has been recognized as a complex clinical scenario. In addition to cardiovascular disease, older people with cancer are at greater risk of experiencing multimorbidity and geriatric syndromes, such as frailty. In older people, the concurrent presence of cancer and cardiovascular disease increases the risk of mortality, and the presence of frailty can exacerbate their conditions and hinder treatment effectiveness. Given the significant intersection among frailty, cardiovascular disease, and cancer in older people, this paper aims to provide an overview of the current research in this field and identifies gaps in the research to understand the burden and impact of frailty in these populations. While many studies have examined the prevalence and impact of frailty on adverse outcomes in patients with cancer or cardiovascular disease, evidence of frailty in individuals with both conditions is lacking. There is no universally accepted definition of frailty, which leads to inconsistencies in identifying and measuring frailty in older adults with cardiovascular disease and cancer. The frailty index seems to be a preferred frailty definition in studies of patients with cancer, while the frailty phenotype seems to be more commonly used in cardiovascular research. However, differences in how the frailty index was categorized and in how patients were classified as 'frail' depending on the cut points may have a negative effect on understanding the impact of frailty in the studied populations. This makes it challenging to compare findings across different studies and limits our understanding of the prevalence and impact of frailty in these populations. Addressing these research gaps will contribute to our understanding of the burden of frailty in older people with cardiovascular disease and cancer, and improve clinical care protocols in this vulnerable population.

Rate, Timing, and Duration of Unplanned Readmissions Due to Cardiovascular Diseases among Hospitalized Patients with Cancer in the United States

Background

Cardiovascular disease (CVD) can lead to unplanned care in patients with cancer, which may affect their prognosis and survival. We aimed to compare the rates, timing, and length of stay of unplanned CVD readmission in hospitalized patients with and without cancer.

Methods

This study used the 2017-2018 Nationwide Readmissions Database to identify adult hospitalized patients with and without cancer. The primary outcome was 180-day unplanned CVD readmission rates. CVD was defined based on a composite variable that included atrial fibrillation, coronary artery disease, cardiomegaly, cardiomyopathy, heart failure, peripheral artery disease, and stroke. For patients readmitted due to CVD, the timing between admissions (based on the mean number of days between index hospitalization and readmission) and length of stay were further identified.

Results

After matching, 300,398 patients were included in the two groups. The composite CVD readmission rates were significantly higher in patients with cancer (5.92% vs 4.10%; odds ratio (OR) 1.47, 95% CI 1.44-1.51, p < 0.001). Patients with cancer were also associated with shorter mean number of days to composite CVD readmission (60.48 days vs 68.32 days, p < 0.001) and longer length of stay of composite CVD readmission (8.21 days vs 7.13 days, p < 0.001). These trends were maintained in analyses of the individual CVD.

Conclusions

Hospitalized patients with cancer experienced higher rates of unplanned readmission due to CVD, and their CVD readmissions occurred sooner and required longer lengths of stay compared to patients without cancer. Efforts to reduce unplanned CVD readmissions, such as providing optimized chronic post-discharge care, may improve the health outcomes of patients with cancer.

DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study

Cancer is a leading cause of global morbidity and mortality, accounting for 250 Disability-Adjusted Life Years and 10 million deaths in 2019. Minimising unwarranted variation and ensuring appropriate cost-effective treatment across primary and tertiary care to improve health outcomes is a key health priority. There are few studies that have used linked data to explore healthcare utilisation prior to diagnosis in addition to post-diagnosis patterns of care. This protocol outlines the aims of the DaLECC project and key methodological features of the linked dataset. The primary aim of this project is to explore predictors of variations in pre- and post-cancer diagnosis care, and to explore the economic and health impact of any variation. The cohort of patients includes all South Australian residents diagnosed with cancer between 2011 and 2020, who were recorded on the South Australian Cancer Registry. These cancer registry records are being linked with state and national healthcare databases to capture health service utilisation and costs for a minimum of one-year prior to diagnosis and to a maximum of 10 years post-diagnosis. Healthcare utilisation includes state databases for inpatient separations and emergency department presentations and national databases for Medicare services and pharmaceuticals. Our results will identify barriers to timely receipt of care, estimate the impact of variations in the use of health care, and provide evidence to support interventions to improve health outcomes to inform national and local decisions to enhance the access and uptake of health care services.

Higher risk of cardiovascular mortality than cancer mortality among long-term cancer survivors

Background

Previous studies focused more on the short-term risk of cardiovascular (CV) death due to traumatic psychological stress after a cancer diagnosis and the acute cardiotoxicity of anticancer treatments than on the long-term risk of CV death.

Methods

Time trends in the proportions of CV death (P_CV), cancer death (P_CA), and other causes in deaths from all causes were used to show preliminary relationships among the three causes of death in 4,806,064 patients with cancer from the Surveillance, Epidemiology, and End Results (SEER) program. Competing mortality risk curves were used to investigate when the cumulative CV mortality rate (CMR_CV) began to outweigh the cumulative cancer mortality rate (CMR_CA) for patients with cancer who survived for more than 10 years. Multivariable competing risk models were further used to investigate the potential factors associated with CV death.

Results

For patients with cancer at all sites, the P_CV increased from 22.8% in the 5th year after diagnosis to 31.0% in the 10th year and 35.7% in the 20th year, while the P_CA decreased from 57.7% in the 5th year after diagnosis to 41.2 and 29.9% in the 10th year and 20th year, respectively. The P_CV outweighed the P_CA (34.6% vs. 34.1%) since the 15th year for patients with cancer at all sites, as early as the 9th year for patients with colorectal cancer (37.5% vs. 33.2%) and as late as the 22nd year for patients with breast cancer (33.5% vs. 30.6%). The CMR_CV outweighed the CMR_CA since the 25th year from diagnosis. Multivariate competing risk models showed that an increased risk of CV death was independently associated with older age at diagnosis [hazard ratio and 95% confidence intervals [HR (95%CI)] of 43.39 (21.33, 88.28) for ≥ 80 vs. ≤ 30 years] and local metastasis [1.07 (1.04, 1.10)] and a decreased risk among women [0.82 (0.76, 0.88)], surgery [0.90 (0.87, 0.94)], and chemotherapy [0.85 (0.81, 0.90)] among patients with cancer who survived for more than 10 years. Further analyses of patients with cancer who survived for more than 20 years and sensitivity analyses by cancer at all sites showed similar results.

Conclusion

CV death gradually outweighs cancer death as survival time increases for most patients with cancer. Both the cardio-oncologist and cardio-oncology care should be involved to reduce CV deaths in long-term cancer survivors.