Anemia in chronic obstructive pulmonary disease: epidemiology and economic implications

ABSTRACT

Background: Anemia in chronic illness is associated with increased healthcare resource utilization (HRU) and costs. In COPD, it occurs frequently and influences both clinical and economic outcomes. Because no data studies have been performed either in a single center or a subpopula­tion of COPD patients, anemia's influence on the outcomes is not fully understood.

Research design and methods: We conducted a retrospective cohort study in a large healthcare database to quantify prevalence, HRU and costs of anemia in COPD. From 1997 to 2005, patients ≥?45 years of age with an ICD-9 diagnosis code for COPD and >?3.5 years of follow-up were included. Anemia was defined by the WHO criteria. Other disease states for which anemia is a known complication were excluded. We calculated the prevalence of anemia and compared annual HRU and costs between COPD patients with and without anemia. Multiple regression analysis adjusted for the effects of age, gender, race, length of enrollment, diagnosing physician specialty, co-morbidity burden, anemia and COPD severity.

Results: Of the 2404 patients with COPD, 33% (n = 788) had a diagnosis of anemia. Anemic patients were older, more likely to be male and non-Caucasian, and had a greater co-morbidity burden than non-anemic individuals. Annual costs for COPD patients with anemia were more than twice those for patients without anemia ($17?240 vs. 6492, p < 0.001, unadjusted). HRU was also significantly greater among anemic than non-anemic COPD patients (?p < 0.0001). In a multiple regression analysis, anemia accounted for $7929 per patient (95% CI: $5572–10?599) of the total costs of care.

Limitations: This is a retrospective cohort study and thus subject to multiple forms of bias. Although spirometric evidence of COPD was available only for a subgroup of patients, our case identification methods have been previously validated and found to be accurate in recognizing COPD.

Conclusions: Anemia is a common co-morbidity in COPD. It is significantly associated with an increase in HRU and costs of care for COPD, independent of demographic and clinical patient characteristics.     

The economic burden of fibromyalgia: comparative analysis with rheumatoid arthritis*

ABSTRACT

Objective: To quantify and compare direct costs, utilization, and the rate of comorbidities in a sample of patients with fibromyalgia (FM), a poorly understood illness associated with chronic widespread pain that is commonly treated by rheumatologists, to patients with rheumatoid arthritis (RA), a well studied rheumatologic illness associated with inflammatory joint pain. Patients with both illnesses were isolated and reported as a third group. A secondary analysis of work loss was performed for an employed subset of these patients.

Research design and methods: Retrospective cohort analysis of Thomson Reuters MarketScan administrative healthcare claims and employer-collected absence and disability data for adult patients with a diagnosis of FM (ICD-9-CM 729.1) and/or RA (ICD-9-CM 714.0x,–714.3x) on at least one inpatient or two outpatient claims during 2001–2004.

Main outcome measures: The 12-month healthcare utilization, expenditures, and rates of comorbidities were quantified for all study-eligible patients; absence and short-term disability days and costs were quantified for an employed subset.

Results: The sample included 14?034 FM, 7965 RA, and 331 FM?+?RA patients. Patients with FM had a higher prevalence of several comorbidities and greater emergency department (ED) utilization than those with RA. Mean annual expenditures for FM patients were $10?911 (SD?=?$16?075). RA patient annual expenditures were similar to FM: $10?716 (SD?= $16?860). Annual expenditures were almost double in patients with FM+RA ($19?395, SD?= $25?440). A greater proportion of patients with FM had any short-term disability days than those with RA (20 vs. 15%); and a greater proportion of patients with RA had any absence days (65 vs. 80%). Mean costs for absence from work and short-term disability in the FM and RA groups were substantial and similar. The FM+RA group was of insufficient sample size to report on work loss.

Limitations: The availability of newer and more expensive FDA-approved medications since 2004 is not reflected in our findings. This analysis was restricted to commercially insured patients and therefore may not be generalizable to the entire U.S. population.

Conclusions: The burden of illness in FM is substantial and comparable to RA. Patients with FM incurred direct costs approximately equal to RA patients. Patients with FM had more ED, physician, and physical therapy visits than RA patients. Patients in both groups had several comorbidities. Patients with FM+RA incurred direct costs almost double those of the patients with either diagnosis alone. FM and RA patients incurred similar overall absence and short-term disability costs.     

Transitioning from oral risperidone or paliperidone to once-monthly paliperidone palmitate: a real-world analysis among Veterans Health Administration patients with schizophrenia who have had at least one prior hospitalization

Abstract

Objective: To address gaps in the literature on healthcare resource utilization (HRU) and costs among patients with schizophrenia and prior hospitalization who transition from oral risperidone or paliperidone (oral ris/pali) to once-monthly paliperidone palmitate (PP1M) in a real-world setting by comparing treatment patterns, HRU, and costs 12-months pre- and post-transition to PP1M among Veterans Health Administration (VHA) patients affected by schizophrenia who have had ≥1 hospitalization.

Methods: VHA patients with schizophrenia (aged ≥18?years) who initiated oral ris/pali, had ≥1 all-cause inpatient stay, and transitioned to PP1M from January 2015–March 2017 were included from the VHA database. The first transition date to PP1M was identified as the index date. Patients were required to have continuous health plan eligibility for 12?months pre- and post-PP1M. Outcomes were compared using the Wilcoxon signed-rank and McNemar’s test, as appropriate.

Results: The study included 319 patients (mean [SD] age?=?51.6 [4.2] years) during 12 months of baseline and follow-up. During pre-PP1M transition, 7.2% of the patients were adherent (proportion of days covered [PDC]?≥?80%) to oral ris/pali. Post-PP1M transition, 27.6% of the patients were adherent to PP1M. Comparison of HRU outcomes from the pre- to post-PP1M transition revealed significantly lower all-cause inpatient stays (3.5 vs 1.4, p?<?.0001) and shorter inpatient length of stay (43.4 vs 18.3?days, p?<?.0001). Similar trends were seen for mental health and schizophrenia-related HRU. Cost outcome comparison indicated significantly lower all-cause inpatient costs ($64,702 vs $24,147, p?<?.0001), total medical costs ($87,917 vs $56,947, p?<?.0001), and total costs ($91,181 vs $69,106, p?<?.0001). A similar trend was observed for mental health and schizophrenia-related costs.

Conclusions: Transitioning from oral ris/pali to PP1M may significantly improve HRU and provide potential cost savings in VHA patients with schizophrenia and ≥1 prior hospitalization.     

Will insomnia treatments produce overall cost savings to commercial managed-care plans? A predictive analysis in the United States

ABSTRACT

Objective: Research indicates that insomnia may contribute significantly to healthcare costs; however, information on the effects of treatments on costs has not been thoroughly published. This study presents predictive models that forecast, from the perspective of commercial managed care, the effects of insomnia medications in reducing overall medical costs. The main objectives of this study were to predict the level of cost savings associated with insomnia treatments, illustrate the variation in outcomes given underlying model assumptions, and assist managed-care policy-makers with the evaluation of medications routinely administered for insomnia.

Methods: Data on four primary-efficacy measures: wake after sleep onset (WASO), sleep efficiency (SE), sleep onset latency (SOL) and total sleep time (TST) were abstracted from published clinical trial data for eszopiclone, indiplon, low-dose trazodone, ramelteon, zaleplon, zolpidem and zolpidem extended-release. Change in per-patient per-year (PPPY) healthcare costs in a single claims database was calculated for subjects taking zolpidem, zaleplon and low-dose trazodone using generalized linear model (GLM) techniques, controlling for baseline demographics and baseline costs. Change in costs for emerging insomnia medications was forecasted by imputing efficacy values for these drugs into the regressions.

Results: Using the accepted efficacy measure, WASO, zolpidem extended-release had the overall forecasted savings of –$1253 (CI: –$1404 to –$1404) PPPY compared to remaining treatments, whereas ramelteon cost an additional $348 (–$1280 to $584) PPPY. In three out of four cost-efficacy models, zolpidem extended-release had higher mean forecasted PPPY savings.

Conclusion: This study examined cost effects of existing and emerging insomnia medications using models integrating clinical literature and medical claims within a statistical framework. The use of a single database may limit generalizability and models only address a 1?year period. Results suggest treatments can offer health plans direct cost savings, with amounts sensitive to variable and efficacy measures, potentially limited by those variables available in the claims database. Compared to other evaluated treatments, zolpidem extended-release produced consistently higher predicted cost savings.     

Healthcare utilization and direct costs of non-infectious comorbidities in HIV-infected patients in the USA

Objective: To estimate the incremental healthcare utilization and costs associated with common non-infectious comorbid conditions among commercially and Medicaid-insured HIV-infected patients in the US.

Methods: US administrative claims were used to select adult HIV patients with chronic kidney disease (CKD), cardiovascular disease (CVD) events, or fracture/osteoporosis, three common comorbidities that have been associated with HIV and HIV treatment, between 1 January 2004 and 30 June 2013. Propensity score matched controls with no CKD, no CVD events, and no fracture/osteoporosis were identified for comparison. All-cause healthcare utilization and costs were reported as per patient per month (PPPM).

Results: The commercial cohort comprised 381 CKD patients, 624 patients with CVD events, and 774 fracture/osteoporosis patients, and 1013, 1710, and 2081 matched controls, respectively; while the Medicaid HIV cohort comprised 207 CKD and 271 CVD cases, and 516 and 735 matched controls, respectively. There was insufficient Medicaid data for fracture analyses. Across both payers, HIV patients with CKD or CVD events had significantly higher healthcare utilization and costs than controls. The average incremental PPPM costs in HIV patients with CKD were $1403 in the commercial cohort and $3051 in the Medicaid cohort. In those with CVD events, the incremental costs were $2655 (commercial) and $4959 (Medicaid) for HIV patients compared to controls (p?Conclusions: The results suggested a considerable increase in healthcare utilization and costs associated with CKD, CVD and fracture/osteoporosis comorbidities among HIV patients in the past decade. Because these conditions have been associated with treatment, it is critical to consider their impact on costs and outcomes when optimizing patient care.     

Healthcare costs among patients with hemophilia A treated with factor replacement or bypassing agents

Objective: To assess real-world costs for patients with hemophilia A treated with bypassing agents versus factor VIII (FVIII) replacement.

Methods: Claims data from a large US health insurer during 1 January 2006–30 September 2014 were used for analysis. Treated patients with hemophilia A were identified based on ≥1 medical claim with a diagnosis code for hemophilia A (ICD-9-CM 286.0) and ≥1 medical or pharmacy claim for bypassing therapy and/or FVIII replacement during 1 January 2007–31 August 2014. The bypassing therapy cohort comprised patients with ≥1 claim for bypassing therapy; all others were assigned to the factor replacement therapy cohort. Post-index hemophilia-related costs were computed as combined health plan plus patient paid amounts for medical claims with hemophilia A diagnosis code or hemophilia therapy procedure code (bypassing therapy, FVIII replacement therapy, desmopressin, antifibrinolytic therapy), as well as pharmacy claims for hemophilia therapy.

Results: The study sample represented 580 patients: 50 (8.6%) in the bypassing therapy cohort (mean age: 38.5?years; mean post-index period: 2.1?years) and 530 (91.4%) in the factor replacement therapy cohort (mean age: 29.3?years; mean post-index period: 2.7?years). Compared with the factor replacement therapy cohort, mean per-patient-per-month hemophilia-related total costs were 4.8-fold higher in the bypassing therapy cohort ($57,232 vs. $11,899), comprising 4.4-fold higher medical costs ($45,911 vs. $10,352) and 7.3-fold higher outpatient pharmacy costs ($11,321 vs. $1547).

Conclusions: Patients with hemophilia A treated with bypassing agents between 2007 and 2014 incurred substantially higher monthly hemophilia-related medical and pharmacy costs than patients treated only with FVIII replacement.     

Health care costs and comorbidities for patients with inclusion body myositis

Objective: This study identifies the health care costs and utilization, as well as comorbidities, in a Medicare population of inclusion body myositis (IBM) patients.

Methods: Medicare patients aged ≥65 years with a diagnosis claim for IBM were identified and matched to a cohort of non-IBM patients based on age, sex, race, calendar year and census region. Generalized linear models were used to estimate health care costs and utilization during the follow-up period.

Results: The prevalence of IBM in this population, aged ≥65 years, was 83.7 cases per 1 million patients. Mean 1 year costs for the IBM cohort (N?=?361) were $44,838 compared to $10,182 for the matched non-IBM cohort (N?=?1805), an excess of $34,656. IBM was significantly associated with multiple unsuspected comorbidities, including hypertension (66% vs. 22%), hyperlipidemia (47% vs. 18%) and myocardial infarction (13% vs. 2%) (all p?Conclusions: IBM patients utilize more health care resources and incur higher health care costs than patients without IBM. Furthermore, IBM patients were more likely to have multiple comorbidities, including cardiovascular risk factors and events, muscle and joint pain, and pulmonary complications compared to those without IBM.

Limitations: The presence of a diagnosis code for a condition on a medical claim does not necessarily indicate the presence of the disease condition because the diagnosis code could be incorrectly entered in the database. Clinical and disease-specific parameters were not available in the claims data. Additionally, due to the observational study design, the analysis may be affected by unobserved differences between patients.     

Prevalence and economic burden of hyperkalemia in the United States Medicare population

Abstract

Objective: To estimate the prevalence and economic burden of hyperkalemia in the United States (US) Medicare population.

Methods: Patients were selected from a 5% random sample of Medicare beneficiaries (01 January 2010–31 December 2014) to estimate the prevalence and economic burden of hyperkalemia. The prevalence for each calendar year was calculated as the number of patients with hyperkalemia divided by the total number of eligible patients per year. To estimate the economic burden of hyperkalemia, patients with hyperkalemia (cases) were matched 1:1 to patients without hyperkalemia (controls) on age group, chronic kidney disease [CKD] stage, dialysis treatment, and heart failure. The incremental 30-day and 1-year resource utilization and costs (2016 USD) associated with hyperkalemia were estimated.

Results: The estimated prevalence of hyperkalemia was 2.6–2.7% in the overall population and 8.9–9.3% among patients with CKD and/or heart failure. Patients with hyperkalemia had higher 1-year rates of inpatient admissions (1.28 vs. 0.44), outpatient visits (30.48 vs. 23.88), emergency department visits (2.01 vs. 1.17), and skilled nursing facility admissions (0.36 vs. 0.11) than the matched controls (all p?<?.001). Patients with hyperkalemia incurred on average $7208 higher 30-day costs ($8894 vs. $1685) and $19,348 higher 1-year costs ($34,362 vs. $15,013) than controls (both p?<?.001). Among patients with CKD and/or heart failure, the 30-day and 1-year total cost differences between cohorts were $7726 ($9906 vs. $2180) and $21,577 ($41,416 vs. $19,839), respectively (both p?<?.001).

Conclusions: Hyperkalemia had an estimated prevalence of 2.6–2.7% in the Medicare population and was associated with markedly high healthcare costs.     

Healthcare costs among adults with type 2 diabetes initiating saxagliptin or linagliptin: a US-based claims analysis

Objective: To compare healthcare costs of adults with type 2 diabetes (T2D) after initiation of saxagliptin or linagliptin, two antidiabetic medications in the dipeptidyl peptidase-4 inhibitor medication class.

Methods: Patients with T2D who were at least 18 years old and initiated saxagliptin or linagliptin (index date) between 1 June 2011 and 30 June 2014 were identified in the MarketScan Commercial and Medicare Supplemental Databases. All-cause healthcare costs and diabetes-related costs (T2D diagnosis on a medical claim and/or an antidiabetic medication claim) were measured in the 1 year follow-up period. Saxagliptin and linagliptin initiators were matched using propensity score methods. Cost ratios (CRs) and predicted costs were estimated from generalized linear models and recycled predictions.

Results: There were 34,560 saxagliptin initiators and 18,175 linagliptin initiators identified (mean ages 57 and 59; 55% and 56% male, respectively). Before matching, saxagliptin initiators had significantly lower all-cause total healthcare costs than linagliptin initiators (mean?=?$15,335 [SD $28,923] vs. mean =?$20,069 [SD $48,541], p?p?n?=?16,069 per cohort), saxagliptin initiators had lower all-cause follow-up costs than linagliptin initiators (CR?=?0.953, 95% CI?=?0.932–0.974, p?p?=?0.017; predicted costs?=?$3989 vs. $4159).

Conclusions: Adult patients with T2D initiating treatment with saxagliptin had lower total all-cause healthcare costs and diabetes-related medical costs over 1 year compared with patients initiating treatment with linagliptin.     

Real-world costs of ischemic stroke by discharge status

Objective: The objective of this study was to estimate the acute healthcare costs of ischemic stroke during hospitalization and the quarterly all-cause healthcare costs for the first year after discharge by discharge status.

Methods: Adult patients with a hospitalization with a diagnosis of ischemic stroke (ICD-9-CM: 434.xx or 436.xx) between 1 January 2006 and 31 March 2015 were identified from a large US commercial claims database. Patients were classified into three cohorts based on their discharge status from the first stroke hospitalization, i.e. dead at discharge, discharged with disability, or discharged without disability. Third-party (medical and pharmacy) and out-of-pocket costs were adjusted to 2015 USD.

Results: A total of 7919 patients dead at discharge, 45,695 patients discharged with disability, and 153,778 patients discharged without disability were included in this analysis. The overall average age was 59.7 years and 52.3% were male. During hospitalization, mean total costs (third-party and out-of-pocket) were $68,370 for patients dead at discharge, $73,903 for patients discharged with disability, and $24,448 for patients discharged without disability (p?p?p?p?Conclusion: The results demonstrated the high economic burden of ischemic stroke, especially among patients discharged with disability with the highest costs incurred during the inpatient stays.     

Healthcare resource utilization of second-generation long-acting injectable antipsychotics in schizophrenia: risperidone versus paliperidone palmitate

Objective: This retrospective longitudinal cohort study aimed to compare treatment patterns, healthcare resource utilization (HRU), and costs in patients with schizophrenia treated with second-generation antipsychotic long-acting injectables (SGA-LAIs): biweekly risperidone LAI versus once-monthly paliperidone palmitate.

Methods: Patients who initiated risperidone LAI or paliperidone palmitate between 1 July 2007 and 31 December 2012 (index date) were identified from the Truven MarketScan Commercial, Medicare Supplemental, and Medicaid Multi-State insurance databases. Outcomes were assessed 12 months after the index date. Propensity score matching (1:1) based on patients’ demographics and comorbidities was conducted. Outcome differences between the two cohorts were evaluated using t-tests for continuous variables, chi-square tests for categorical variables, and Wilcoxon rank-sum tests for count and cost variables. Regression models estimated the difference in medication use and adherence, likelihood of HRU, number of HRU events, and healthcare costs when comparing risperidone LAI versus paliperidone palmitate, while further adjusting for patient characteristics and pre-index HRU.

Results: Patient characteristics were well balanced between the two cohorts (n?=?499 each). Significantly lower discontinuation rates (36.5% vs. 53.3%; p?<?0.001) and longer days of LAI coverage (233.6 vs. 131.7 days; p?<?0.001) were observed in the paliperidone palmitate cohort versus the risperidone LAI cohort, respectively. Patients treated with paliperidone palmitate were 12.5 (95% confidence interval [CI]: 9.0–17.8) and 11.7 (95% CI: 8.0–17.4) times more likely to be adherent based on medication possession ratio and proportion of days covered, respectively (p?<?0.001). Patients treated with paliperidone palmitate had reduced likelihood of hospitalization (adjusted odds ratio [95% CI]: 0.72 [0.55–0.95]), fewer emergency department (ED) visits (adjusted incidence rate ratio [aIRR]: 0.67 [0.61–0.73]) and reduced length of inpatient stay (aIRR: 0.86 [0.82–0.90]), which resulted in lower monthly inpatient hospitalization costs (-$77.58; p?=?0.038) and ED visits (-$9.77; p?=?0.021) relative to risperidone LAI.

Limitations: Pharmacy costs were derived from health plan payment in the claims data and do not account for any discounts or rebates. This may have overestimated the branded drug costs in this analysis.

Conclusions: These findings highlight the value of once-monthly paliperidone palmitate in the treatment of patients with schizophrenia.     

Budget impact of treating commercially insured type 1 and type 2 diabetes patients in the United States with insulin degludec compared to insulin glargine

Objective: To quantify the annual budget impact if all US commercially insured type 1 diabetes mellitus patients on basal–bolus therapy (T1DM_BBT), type 2 diabetes mellitus patients on basal–oral therapy (T2DM_BOT), and type 2 diabetes mellitus patients on basal–bolus therapy (T2DM_BBT) switched from insulin glargine (IGlar) to insulin degludec (IDeg).

Methods: A short-term (1 year) budget impact model was developed to evaluate the costs of IDeg vs. IGlar in three treatment groups (T1DM_BBT, insulin-naïve T2DM_BOT, and T2DM_BBT) through a simulation for a potential US health plan population of 35 million. The analysis captured direct medical costs associated with insulin treatment (insulin, needles, and self-monitored glucose testing) and costs related to managing hypoglycemic episodes. There were a total of 59,780 T1DM_BBT patients, 383,145 T2DM_BOT patients, and 171,325 T2DM_BBT patients expected to be using long-acting insulin. A sensitivity analysis on the entire US population was also conducted.

Results: Among T1DM_BBT patients, IDeg was associated with an annual cost savings of ?$357.13 per patient per year (PPPY), driven primarily by reduced insulin utilization. IDeg was also found to be cost saving among T2DM_BOT patients (?$1206.61 PPPY), driven primarily by reductions in the cost of treating severe hypoglycemic episodes. Among T2DM_BBT patients, IDeg was associated with an additional cost to the plan of $1420.04 PPPY; however, this result was driven by a higher insulin dose for IDeg compared to IGlar. Overall, IDeg demonstrated cost savings of $240 million per year, which accounted for total cost savings of 3.5% vs. IGlar.

Conclusions: The results of this analysis suggest that the reduced insulin utilization and fewer hypoglycemic episodes associated with IDeg may translate into reduced costs for payers. The model is limited by simplification of a complex disease state and assumptions surrounding disease state, treatment patterns, and costs. Therefore, results may not accurately reflect actual health plans or real-world practice patterns.     

Warfarin time in therapeutic range and its impact on healthcare resource utilization and costs among patients with nonvalvular atrial fibrillation

Background:

Warfarin is efficacious for reducing stroke risk among patients with nonvalvular atrial fibrillation (NVAF). However, the efficacy and safety of warfarin are influenced by its time in therapeutic range (TTR).

Objective:

To assess differences in healthcare resource utilization and costs among NVAF patients with low (<60%) and high (≥60%) warfarin TTRs in an integrated delivery network (IDN) setting.

Methods:

Patients with NVAF were identified from an electronic medical record database. Patients were required to have ≥6 international normalized prothrombin time ratio (INR) tests. NVAF patients were grouped into two cohorts: those with warfarin TTR <60% (low TTR) and those with warfarin TTR ≥60% (high TTR). Healthcare resource utilization and costs were evaluated during a 12 month follow-up period. Multivariable regressions were used to assess the impact of different warfarin TTRs on healthcare costs.

Results:

Among the study population, greater than half (54%, n?=?1595) had a low TTR, and 46% (n?=?1356) had a high TTR. Total all-cause healthcare resource utilization was higher among patients in the low TTR cohort vs. the high TTR cohort (number of encounters: 70.2 vs. 56.1, p?<?0.001). After adjusting for patient characteristics, total all-cause healthcare costs and stroke-related healthcare costs were $2398 (p?<?0.001) and $687 (p?=?0.02) higher, respectively, for patients in the low TTR cohort vs. the high TTR cohort.

Limitations:

In this retrospective study, we were only able to evaluate the association and not the causality between healthcare resource utilization and costs with the different warfarin TTRs.

Conclusion:

Many warfarin-treated NVAF patients have a low warfarin TTR. NVAF patients with low vs. patients with high warfarin TTR used healthcare resources to a greater extent, which was reflected in higher healthcare costs.     

Safety,effectiveness, and health care cost comparisons among elderly patients with venous thromboembolism prescribed warfarin or apixaban in the United States Medicare population

Abstract

Objective: To compare safety, effectiveness, and healthcare costs of major bleeding (MB), clinically relevant non-major (CRNM) bleeding, recurrent venous thromboembolism (VTE), and all-cause hospitalization among elderly Medicare VTE patients prescribed warfarin vs apixaban.

Methods: Using 100% Medicare data, elderly patients prescribed apixaban or warfarin within 30 days after a VTE encounter were identified. Patients had continuous health plan enrollment and no parenteral or oral anticoagulant use ≤6 months preceding the VTE encounter. Cohorts were balanced using 1:1 propensity score matching (PSM). Cox proportional hazard models were used to assess the risk of MB, CRNM bleeding, recurrent VTE, and all-cause hospitalization. Generalized linear and two-part models were used to estimate MB-, recurrent VTE-, and all-cause related costs (per patient per month [PPPM]).

Results: In the pre-matched cohort, 25,284 (66.9%) patients were prescribed warfarin and 12,515 (33.1%) apixaban. After 1:1 PSM, 11,363 matched pairs of apixaban-warfarin patients were included for a mean follow-up of 4.0 and 4.4 months, respectively. Matched cohorts had a mean age of 78 years and mean Charlson Comorbidity Index score of 2.9. Warfarin was associated with a higher risk of MB (hazard ratio [HR]?=?1.31; 95% confidence interval [CI]?=?1.10–1.57) and CRNM bleeding (HR?=?1.31; 95% CI?=?1.19–1.43) vs apixaban. The risks of recurrent VTE (HR?=?0.96; 95% CI?=?0.70–1.33) and all-cause hospitalization (HR?=?1.05; 95% CI?=?0.99–1.12) were similar among warfarin and apixaban patients. Warfarin patients had higher MB-related ($147 vs $75; p?=?.003) and all-cause costs PPPM ($3,267 vs $3,033; p?<?.001), but similar recurrent VTE-related medical costs PPPM ($30 vs $36; p?=?.516) vs apixaban patients.

Conclusions: Warfarin was associated with significantly higher risk of MB and CRNM bleeding as well as higher MB-related and all-cause costs vs apixaban patients. Recurrent VTE risk and costs were similar among warfarin and apixaban patients.