Demographic Disparities in Acute Myeloid Leukemia Mortality Trends in the United States.

BACKGROUND/AIM: Acute myeloid leukemia (AML) is a hematological malignancy with an overall poor prognosis; however, survival rates vary widely by clinical and demographic characteristics. This study sought to identify historical trends in AML mortality in the US and to identify any disparities by sex, race or ethnicity. PATIENTS AND METHODS: For each demographic population, the age adjusted mortality rate (AAMR) per 1,000,000 for AML-related deaths from 1999 to 2020 in the United States was accessed from the CDC Wonder Database. These values were then used to calculate the average Annual Percent Change (AAPC) from 1999 to 2020 using the National Cancer Institute (NCI)'s Joinpoint Regression Program (Joinpoint V 4.9.0.0, NCI) with log-linear regression models. Statistical significance for all reported findings was determined using a 2-tailed t-test or parallel pairwise comparison with significance defined as p<0.05. RESULTS: The overall population had a significant downtrend in mortality rate between 2011 and 2020 with an APC of -0.61% [95% confidence interval (CI)=-1 to -0.2]. In 2020, the AAMR due to AML for males was 32 and for females was 20.2. Females did not have a significant overall AAPC from 1999 to 2020. Males had a significant AAPC of 0.5% (95%CI=0-0.9) from 1999 to 2020, signifying an overall uptrend. In 2020, the White population had the greatest mortality rate (29.6), followed by the Black or African American population (20.9), Asian or Pacific Islander (AAPI) population (18.6), and the American Indian/Alaska Native population (8.8). American Indian and Alaska Native population data could not be reliably compared. No race/ethnic group had a significant AAPC trend from 1999 to 2020. However, parallel pairwise comparison found a significant difference in the trend of mortality rates between the Black or African American and AAPI, Black or African American and White, and White and AAPI populations. CONCLUSION: Our findings highlight disparities in mortality due to AML and underscore the need for additional resources and support in affected populations and areas.

Household income and health-related quality of life in children receiving treatment for acute myeloid leukemia: Potential impact of selection bias in health equity research.

OBJECTIVE: Examine the influence of household income on health-related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML). DESIGN: Secondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States. EXPOSURE: Household income was self-reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity. OUTCOME: Caregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey. RESULT: Children with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2-20.2). Seven percent of enrolled patients presented with high acuity (ICU-level care in the first 72 h), and 16% had high toxicity (any ICU-level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction. CONCLUSIONS: While primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research.

Influence of Income, Education, and Medicaid Expansion on Palliative Care in Acute Myeloid Leukemia Using the National Cancer Database.

Palliative care is integral to symptom management, and we examined its relationship with income, education, and Medicaid expansion in acute myeloid leukemia. This was a retrospective cross-sectional study using the National Cancer Database that included patients with acute myeloid and monocytic leukemias > 18 years of age treated at Commission on Cancer facilities from 2004 to 2016. Univariate and multivariate models were adjusted for demographic variables and facility characteristics. There were 124,988 patients, but only 106,495 had palliative care data, and of this 4111 (3%) received palliative care. The most educated had the highest odds of receiving palliative care (odds ratio, OR 1.23, 95% CI 1.08-1.41; P = 0.002), but the highest income bracket (≥ $63,333) had the lowest odds (OR 0.82, 95% CI 0.72-0.93; P = 0.003). Residence in states with Medicaid expansion (January 2014 onward) had greater palliative care utilization. Palliative care use was associated with higher education but underutilized with higher incomes. Increased access with Medicaid expansion suggests the importance of public insurance.

The cost-utility analysis of antifungal prophylaxis for invasive fungal infections in acute myeloid leukaemia patients receiving chemotherapy: a study from a middle-income country.

BACKGROUND: Invasive fungal infections (IFIs) contribute to morbidity and mortality during acute myeloid leukaemia (AML) treatment. Without prophylaxis, IFI rate during AML treatment in Thailand is high and results in a high mortality rate and a prolonged hospital stay. AIM: To evaluate the cost-utility of antifungal therapy (AFT) prophylaxis during AML treatment. METHODS: We assessed the cost-utility of AFT available in Thailand, including posaconazole (solution), itraconazole (solution and capsule), and voriconazole. A hybrid model consisting of a decision tree and the Markov model was established. RESULTS: The costs to prevent overall IFI using any AFT were all lower than the treatment cost of a non-prophylaxis group, resulting in a saving of 808-1507 USD per patient. Prevention with voriconazole prophylaxis showed the highest quality-adjusted life years (QALYs = 3.51, incremental QALYs = 0.23), followed by posaconazole (QALYs = 3.46, incremental QALY = 0.18) and itraconazole solution (QALYs = 3.45, incremental QALYs = 0.17). Itraconazole capsule reduced QALY in the model. For invasive aspergillosis prevention, posaconazole and voriconazole both resulted in better QALYs and life year savings compared with no prophylaxis. However, posaconazole prophylaxis was the only cost-saving option (976 USD per patient). CONCLUSION: Posaconazole, itraconazole solution and voriconazole were all cost saving compared with no prophylaxis for overall IFI prophylaxis, with voriconazole being the most cost-effective option. Posaconazole and voriconazole were both cost effective for invasive aspergillosis prevention but only posaconazole was cost saving. A change in reimbursement policy for the use of AFT prophylaxis during intensive AML treatment could provide both clinical benefits to patients and substantial economic benefits to healthcare systems.

Identification and assessment of new PIM2 inhibitors for treating hematologic cancers: A combined approach of energy-based virtual screening and machine learning evaluation.

PIM2, part of the PIM kinase family along with PIM1 and PIM3, is often overexpressed in hematologic cancers, fueling tumor growth. Despite its significance, there are no approved drugs targeting it. In response to this challenge, we devised a thorough virtual screening workflow for discovering novel PIM2 inhibitors. Our process includes molecular docking and diverse scoring methods like molecular mechanics generalized born surface area, XGBOOST, and DeepDock to rank potential inhibitors by binding affinities and interaction potential. Ten compounds were selected and subjected to an adequate evaluation of their biological activity. Compound 2 emerged as the most potent inhibitor with an IC50 of approximately 135.7 nM. It also displayed significant activity against various hematological cancers, including acute myeloid leukemia, mantle cell lymphoma, and anaplastic large cell lymphoma (ALCL). Molecular dynamics simulations elucidated the binding mode of compound 2 with PIM2, offering insights for drug development. These results highlight the reliability and efficacy of our virtual screening workflow, promising new drugs for hematologic cancers, notably ALCL.

Impact of hemodilution on flow cytometry based measurable residual disease assessment in acute myeloid leukemia.

Measurable residual disease (MRD) measured in the bone marrow (BM) of acute myeloid leukemia (AML) patients after induction chemotherapy is an established prognostic factor. Hemodilution, stemming from peripheral blood (PB) mixing within BM during aspiration, can yield false-negative MRD results. We prospectively examined hemodilution by measuring MRD in BM aspirates obtained from three consecutive 2 mL pulls, along with PB samples. Our results demonstrated a significant decrease in MRD percentages between the first and second pulls (P = 0.025) and between the second and third pulls (P = 0.025), highlighting the impact of hemodilution. Initially, 39% of MRD levels (18/46 leukemia-associated immunophenotypes) exceeded the 0.1% cut-off, decreasing to 30% (14/46) in the third pull. Additionally, we assessed the performance of six published methods and parameters for distinguishing BM from PB samples, addressing or compensating for hemodilution. The most promising results relied on the percentages of CD16dim granulocytic population (scarce in BM) and CD117high mast cells (exclusive to BM). Our findings highlight the importance of estimating hemodilution in MRD assessment to qualify MRD results, particularly near the common 0.1% cut-off. To avoid false-negative results by hemodilution, it is essential to collect high-quality BM aspirations and preferably utilizing the initial pull for MRD testing.

Budget impact analysis of venetoclax for the management of acute myeloid leukemia from the perspective of the social security and the private sector in Argentina.

OBJECTIVE: This study aimed to estimate the budget impact of the incorporation of venetoclax for the treatment of patients with Acute Myeloid Leukemia (AML) over 75 years of age or those with comorbidities and contraindications for the use of intensive chemotherapy, from the perspective of the social security and the private third-party payers in Argentina. METHODS: A budget impact model was adapted to estimate the cost difference between the current scenario (azacitidine, decitabine and low doses of cytarabine) and the new scenario (incorporation of venetoclax) for a third-party payer over a time horizon of three years. Input parameters were obtained from a literature review, validated or complemented by expert opinion using a modified Panel Delphi approach. All direct medical costs were estimated by the micro-costing approach and were expressed in US dollars (USD) as of September 2020 (1 USD = 76.18 Argentine pesos). RESULTS: For a third-party payer with a cohort of 1,000,000 individuals covered, incorporating venetoclax was associated with an average budget impact per-member per-month (PMPM) of $0.11 USD for the social security sector and $0.07 USD for the private sector. The duration of treatment with venetoclax was the most influential parameter in the budget impact results. CONCLUSION: The introduction of venetoclax was associated with a positive and slight budget impact. These findings are informative to support policy decisions aimed to expand the current treatment landscape of AML.

Development of a risk assessment model for cardiac injury in patients newly diagnosed with acute myeloid leukemia based on a multicenter, real-world analysis in China.

BACKGROUND: Studies have revealed that acute myeloid leukemia (AML) patients are prone to combined cardiac injury. We aimed to identify hematological risk factors associated with cardiac injury in newly diagnosed AML patients before chemotherapy and develop a personalized predictive model. METHODS: The population baseline, blood test, electrocardiogram, echocardiograph, and genetic and cytogenetic data were collected from newly diagnosed AML patients. The data were subdivided into training and validation cohorts. The independent risk factors were explored by univariate and multivariate logistic regression analysis respectively, and data dimension reduction and variable selection were performed using the least absolute shrinkage and selection operator (LASSO) regression models. The nomogram was generated and the reliability and generalizability were verified by receiver operating characteristic (ROC) curves, the area under the curve (AUC) and calibration curves in an external validation cohort. RESULTS: Finally, 499 AML patients were included. After univariate logistic regression, LASSO regression and multivariate logistic regression analysis, abnormal NT-proBNP, NPM1 mutation, WBC, and RBC were independent risk factors for cardiac injury in AML patients (all P < 0.05). The nomogram was constructed based on the above four variables with high accuracy. The area under the curve was 0.742, 0.750, and 0.706 in the training, internal validation, and external validation cohort, respectively. The calibration curve indicated that the model has good testing capability. The Kaplan-Meier curve showed that the higher the risk of combined cardiac injury in AML patients, the lower their probability of survival. CONCLUSIONS: This prediction nomogram identifies hematological risk factors associated with cardiac injury in newly diagnosed AML patients and can help hematologists identify the risk and provide precise treatment options.

Disparities in acute myeloid leukemia treatments and outcomes.

PURPOSE OF REVIEW: This review aims to summarize different contributors to survival disparities in acute myeloid leukemia (AML) patients. The focus is set on African-American (hereafter referred to as Black) patients, with separate consideration of self-reported race and ancestry. It aims to also highlight the interconnectivity of the different features that impact on despair survival. RECENT FINDINGS: The main themes in the literature covered in this article include the impact of social deprivation, clinical trial enrollment and biobanking, structural racism and ancestry-associated differences in genetic features on survival outcomes. SUMMARY: An increasing number of studies have not only shown persistent survival disparities between Black and non-Hispanic White AML patients, but uncovered a multitude of contributors that have additive adverse effects on patient outcomes. In addition to potentially modifiable features, such as socioeconomic factors and trial enrollment odds that require urgent interventions, there is emerging data on differences in disease biology with respect to genetic ancestry, including frequencies of known AML-driver mutations and their associated prognostic impact.

New treatment opportunities for older patients with acute myeloid leukemia and the increasing importance of frailty assessment - An oncogeriatric perspective.

With the introduction of targeted chemotherapy drugs, a new age of treatment for acute myeloid leukemia (AML) has begun. The promotion of the azacitidine+venetoclax combination regimen to first line of treatment in patients deemed ineligible for intensive chemotherapy marks the first of many novel combination regimens becoming part of national treatment guidelines. We review recent phase II and III clinical trials and conclude that these novel regimens offer significant increases in response rates, remission rates, and overall survival. The incidence of adverse events, the accrued time toxicity, and the healthcare costs, however, are increasing as well. Compared with clinical trials, older patients in the real world frequently present with an inferior baseline health status, which is associated with an increased risk of experiencing side effects. The key to reaping the maximum benefit of the new agents and their combination regimens therefore lies in sufficient attention being given to a patients' preexisting comorbidities, potential frailty, and quality of life. A systematic collaboration between hemato-oncologists and geriatricians can be a potent first step towards addressing the increased treatment intensity patients with AML experience under the novel regimens. In this narrative review article we provide an overview of recent and ongoing clinical trials, highlight encountered adverse events, discuss frailty assessment options, and outline an oncogeriatic care path for older patients with AML.

Association of the social disorganization index with time to first septic shock event in children with acute myeloid leukemia.

BACKGROUND: Pediatric acute myeloid leukemia (AML) chemotherapy increases the risk of life-threatening complications, including septic shock (SS). An area-based measure of social determinants of health, the social disorganization index (SDI), was hypothesized to be associated with SS and SS-associated death (SS-death). METHODS: Children treated for de novo AML on two Children's Oncology Group trials at institutions contributing to the Pediatric Health Information System (PHIS) database were included. The SDI was calculated via residential zip code data from the US Census Bureau. SS was identified via PHIS resource utilization codes. SS-death was defined as death within 2 weeks of an antecedent SS event. Patients were followed from 7 days after the start of chemotherapy until the first of end of front-line therapy, death, relapse, or removal from study. Multivariable-adjusted Cox regressions estimated hazard ratios (HRs) comparing time to first SS by SDI group. RESULTS: The assembled cohort included 700 patients, with 207 (29.6%) sustaining at least one SS event. There were 233 (33%) in the SDI-5 group (highest disorganization). Adjusted time to incident SS did not statistically significantly differ by SDI (reference, SDI-1; SDI-2: HR, 0.84 [95% confidence interval (CI), 0.51-1.41]; SDI-3: HR, 0.70 [95% CI, 0.42-1.16]; SDI-4: HR, 0.97 [95% CI, 0.61-1.53]; SDI-5: HR, 0.72 [95% CI, 0.45-1.14]). Nine patients (4.4%) with SS experienced SS-death; seven of these patients (78%) were in SDI-4 or SDI-5. CONCLUSIONS: In a large, nationally representative cohort of trial-enrolled pediatric patients with AML, there was no significant association between the SDI and time to SS.

Clinical Outcomes in Patients With Refractory Anemia With Excess Blasts (RAEB) Who Receive Hypomethylating Agents (HMAs).

BACKGROUND: We sought to understand the clinical effectiveness associated with use of hypomethylating agents (HMAs) azacitidine (AZA) and decitabine (DEC) for patients with refractory anemia with excess blasts (RAEB; an established proxy for higher-risk myelodysplastic syndromes/neoplasms) in contemporary and representative real-world settings. PATIENTS AND METHODS: We used the Surveillance, Epidemiology and End Results (SEER)-Medicare database, a linkage of cancer registry and Medicare claims data, to identify patients aged ≥ 66 years diagnosed with RAEB, between 2009 and 2017 in the United States, and who received AZA or DEC as first-line therapy. Outcomes measured were overall survival (OS), event-free survival (EFS), and incidence of progression-related acute myeloid leukemia (AML). RESULTS: Of 973 eligible patients, 738 (75.8%) received AZA and 235 (24.2%) received DEC; 6.4% received hematopoietic cell transplantation during follow-up. In the overall population, median OS was 13.9 months (95% confidence interval [CI]: 12.9-15.0), median EFS was 5.2 months (95% CI: 4.9-5.7), and 38.0% of patients progressed to AML. Incidences of AML progression and death were 25.6% and 29.9%, respectively, at Year 1, and 34.3% and 44.8%, respectively, at Year 2. There were no significant differences in clinical benefits between AZA and DEC. CONCLUSION: Median OS with both HMAs remained significantly shorter than in the AZA-001 clinical trial, highlighting how patient outcomes vary between clinical and real-world settings. Further research is required to understand why these disparities exist.

Geriatric Assessment in Acute Myeloid Leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is a heterogenous disease that affects mostly older adults with varying baseline health and functional status. Treatment options have expanded for older adults, ranging from less intensive chronic therapies to intensive induction strategies with curative intent. Despite this, outcomes remain poor with advancing age due to underlying disease biology and variability in treatment tolerance. Reliance on chronological age alone, however, increases risks of both over- and under-treatment. Strategies to better characterize fitness in the context of therapy are needed to optimize decision-making and enhance clinical trial design. SUMMARY: Geriatric assessment (GA) is a series of validated tools that evaluate multiple health and functional domains of an older adult including physical function, comorbidities, cognition, nutrition, psychological health, and social support. While studies of GA in AML remain limited, current evidence shows that it is feasible to perform GA among older adults starting therapy for AML. GA measures including those assessing physical function, cognition, and mood are associated with mortality and toxicity in both intensive and less intensive treatment settings. KEY MESSAGES: In this review, we discuss the existing evidence to support use of GA in AML and highlight implications for clinical practice and future research.

A Markov analysis of azacitidine and venetoclax vs induction chemotherapy for medically fit patients with AML.

ABSTRACT: Although induction chemotherapy (IC) is the standard of care in medically fit patients with newly diagnosed acute myeloid leukemia (AML), limited retrospective data indicate that patients at adverse-risk may benefit from azacytidine and venetoclax (aza-ven). Our goal was to perform a Markov decision analysis to determine whether IC or aza-ven is the optimal induction regimen in this population. Using the TreeAge software, Markov models were created for adverse-risk and intermediate-risk cohorts. A systematic review of the literature informed the transition probabilities and utilities included in the analyses. Our primary outcome was quality-adjusted life years (QALYs) gained over 5 years after diagnosis. Overall, patients at adverse risk treated with IC gained 1.4 QALYs, compared with 2.0 QALYs in patients treated with aza-ven. Patients at adverse risk treated with IC and allogeneic stem cell transplantation (allo-SCT), IC, aza-ven and allo-SCT, or aza-ven gained 2.1, 1.5, 3.0, and 1.9 QALYs, respectively. Meanwhile, patients at intermediate risk treated with IC gained 2.0 QALY, compared with 1.7 QALY in patients treated with aza-ven. Patients at intermediate risk treated with IC and allo-SCT, IC, aza-ven and allo-SCT, and aza-ven gained 2.7, 2.3, 2.6, and 1.8 QALYs, respectively. We have demonstrated that medically fit patients with newly diagnosed adverse-risk AML may benefit from treatment with aza-ven over those treated with IC, whereas IC remains the preferred approach for patients at intermediate risk. Our work challenges the use of the European LeukemiaNet risk classification for patients treated with aza-ven and highlights the need for prospective investigation into aza-ven as induction therapy for medically fit patients.

Impact of Social Disparities on 5-Year Survival Rates in Pediatric Hematologic Malignancies.

BACKGROUND: Socioeconomic disparities exist in pediatric patients with hematologic malignancies, leading to suboptimal survival rates. Social determinants of health impact health outcomes, and in children, they may not only lead to worse survival outcomes but carry over into late effects in adult life. The social deprivation index (SDI) is a composite score using geographic county data to measure social determinants of health. Using the SDI, the purpose of the present study is to stratify survival outcomes in pediatric patients with hematologic malignancies based on area deprivation. METHODS: A retrospective cohort study was performed using the national Surveillance, Epidemiology, and End Results oncology registry in the USA from 1975 to 2016 based on county-level data. Pediatric patients (≤18 y old) with a diagnosis of leukemia or lymphoma based on the International Classification for Oncology, third edition (ICD-O-3) were used for inclusion criteria. Patients were grouped by cancer subtype for leukemia into acute lymphoblastic leukemia (ALL) and acute myeloid leukemia while for lymphoma into non-Hodgkin's lymphoma and Hodgkin's lymphoma. SDI scores were calculated for each patient and divided into quartiles, with Q1 being the lowest area of deprivation and Q4 being the highest, respectively. RESULTS: A total of 38,318 leukemia and lymphoma patients were included. Quartile data demonstrated stratification in survival based on area deprivation for ALL, with no survival differences in the other cancer subtypes. Patients with ALL from the most deprived area had a roughly 3% difference in both overall and cancer-specific morality at 5 years compared with the least deprived area. CONCLUSION: Disparities in pediatric patients with ALL represent a significant area for quality improvement. Social programs may have value in improving survival outcomes and could rely on metrics such as SDI.

Nonchromosomal birth defects and risk of childhood acute leukemia: An assessment in 15 000 leukemia cases and 46 000 controls from the Childhood Cancer and Leukemia International Consortium.

Although recent studies have demonstrated associations between nonchromosomal birth defects and several pediatric cancers, less is known about their role on childhood leukemia susceptibility. Using data from the Childhood Cancer and Leukemia International Consortium, we evaluated associations between nonchromosomal birth defects and childhood leukemia. Pooling consortium data from 18 questionnaire-based and three registry-based case-control studies across 13 countries, we used multivariable logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between a spectrum of birth defects and leukemia. Our analyses included acute lymphoblastic leukemia (ALL, n = 13 115) and acute myeloid leukemia (AML, n = 2120) cases, along with 46 172 controls. We used the false discovery rate to account for multiple comparisons. In the questionnaire-based studies, the prevalence of birth defects was 5% among cases vs 4% in controls, whereas, in the registry-based studies, the prevalence was 11% among cases vs 7% in controls. In pooled adjusted analyses, there were several notable associations, including (1) digestive system defects and ALL (OR = 2.70, 95% CI: 1.46-4.98); (2) congenital anomalies of the heart and circulatory system and AML (OR = 2.86, 95% CI: 1.81-4.52) and (3) nervous system defects and AML (OR = 4.23, 95% CI: 1.50-11.89). Effect sizes were generally larger in registry-based studies. Overall, our results could point to novel genetic and environmental factors associated with birth defects that could also increase leukemia susceptibility. Additionally, differences between questionnaire- and registry-based studies point to the importance of complementary sources of birth defect phenotype data when exploring these associations.

A real-world analysis of outcomes and healthcare costs of patients on perindopril/indapamide/amlodipine single-pill vs. multiple-pill combination in Italy.

OBJECTIVES: This analysis compared adherence, cardiovascular (CV) events and all-cause mortality incidence, and healthcare costs among hypertensive patients treated with perindopril (PER)/indapamide (IND)/amlodipine (AML) in single-pill combination (SPC) vs. multiple-pill combination, in a real-world setting in Italy. METHODS: In this observational retrospective analysis of Italian administrative databases, adult patients treated with PER/IND/AML between 2010 and 2020 were divided into two cohorts: single-pill vs. multiple-pill. Patient data were available for at least one year before and after index date. Propensity score matching (PSM) was applied to reduce selection bias. Adherence was defined as proportion of days covered: non-adherence, <40%; partial adherence, 40-79%, and adherence ≥80%. Mortality incidence and CV events as single, or composite, endpoints were evaluated after first year of follow-up. Healthcare cost analyses were performed from the perspective of the Italian National Health Service. RESULTS: Following PSM, the single-pill cohort included 12 150 patients, and the multiple-pill cohort, 6105. The SPC cohort had a significantly higher percentage of adherent patients vs. the multiple-pill cohort (59.9% vs. 26.9%, P  < 0.001). Following the first year of follow-up, incidence of all-cause mortality, and combined endpoint of all-cause mortality and CV events were lower in the SPC cohort compared with multiple-pill cohort. Average annual direct healthcare costs were lower in the single-pill cohort (€2970) vs. multiple-pill cohort (€3642); cost of all drugs and all-cause hospitalizations were major contributors. CONCLUSION: The SPC of PER/IND/AML, compared with multiple-pill combination, is associated with higher adherence to medication, lower incidence of CV events and mortality, and reduced healthcare costs.