Key result
Annual SGLT2i spending among cancer survivors surges to ~$212 per patient while statin costs decline.
Why the study?
Cardioprotective drugs are clinically recommended for cancer survivors' comorbidities, but their population-level economic impact has not been well defined.
Does the utilization and expenditure of cardioprotective drugs differ between cancer survivors and non-cancer controls?
Observational (n=222,999)
Yes
Does the utilization and expenditure of cardioprotective drugs differ between cancer survivors and non-cancer controls?
Declining costs of generic cardioprotective therapies in U.S. cancer survivors have been fully offset by rising expenditures and out-of-pocket burdens from newer agents like SGLT2 inhibitors and GLP-1RAs.
Answers are grounded in this paper and cite their sources.
Statin use in cancer survivors may inform cardio-oncology risk assessment; leaves open optimal guideline alignment and dedicated trials.
e23005 Background: Cardiovascular disease (CVD) is the leading non-cancer cause of death among cancer survivors. Managing this risk increasingly requires a transition from traditional generic therapies (e.g., statins, ACEi) to novel agents (e.g., SGLT2i, GLP-1RA). While these drugs are clinically recommended for survivors comorbidities, their population level economic impact has not been well defined. Methods: We analyzed the 2016–2023 Medical Expenditure Panel Survey (MEPS-HC) to identify U.S. adults with a history of cancer (n=5,165; weighted ~54.3M) and non-cancer controls (n=217,834). We evaluated utilization, total prescription expenditures, and out-of-pocket (OOP) costs across 10 cardioprotective drug classes: statins, ACE inhibitors, ARBs, aspirin, antiplatelets, ezetimibe, GLP-1RA, SGLT2i, PCSK9i, and colchicine. surgery-weighted Pearson chi-square tests and design-based F-statistics accounted for the complex sampling design. Results: Cancer survivors were older (mean age ~68 vs 46 years), with higher prevalence of hypertension (54.5% vs 31.5%), diabetes (18.7% vs 8.1%), and dyslipidemia (56.1% vs 23.1%) than controls (all p<0.001). Survivors more frequently used traditional cardioprotective therapies, including statins (43.7% vs 23.1%) and ACE/ARBs (35.8% vs 18.2%). Aspirin use remained common and stable with negligible expenditures and OOP costs, reflecting its role as a low-cost foundational therapy. Antiplatelet use was higher among survivors and associated with modest but persistent OOP spending. Between 2016 and 2023, mean annual per-patient statin expenditures declined by 65% ($177 to $61). In contrast, expenditures for novel agents increased substantially. Mean per-person SGLT2 inhibitor expenditures rose from $0.36 to $211.55, while GLP-1RA utilization increased from 2.0% to 20.5%. These shifts increased patient cost sharing: survivor OOP costs increased 40-fold for SGLT2 inhibitors ($0.35 to $13.91) and more than four-fold for GLP-1 receptor agonists ($3.69 to $15.83). Socioeconomic disparities were evident, with PCSK9 inhibitor users reporting higher family incomes than non-users ($123,069 vs $85,530), and ezetimibe utilization was higher among Black compared with White survivors (14.8% vs 9.5%; p<0.05). Conclusions: Among U.S. cancer survivors, declining costs of generic cardioprotective therapies have been fully offset by rising expenditures and OOP burdens from newer agents. Access to high-value therapies increasingly reflects socioeconomic disparities more than clinical risk alone. Reducing patient cost sharing will be essential to prevent financial barriers from worsening adherence and long-term cardiovascular outcomes in survivorship.
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Patel et al. (2026) conducted an observational in Cancer survivors (n=222,999). Cardioprotective drugs vs. Non-cancer controls was evaluated on Utilization, total prescription expenditures, and out-of-pocket costs across 10 cardioprotective drug classes. Between 2016 and 2023, mean annual per-patient statin expenditures among cancer survivors declined from $177 to $61, while SGLT2 inhibitor expenditures rose from $0.36 to $211.55.
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