Outcomes of tumor necrosis factor inhibitor cycling versus switching to a disease-modifying anti-rheumatic drug with a new mechanism of action among patients with rheumatoid arthritis

Objectives: To examine treatment patterns, treatment effectiveness, and treatment costs for 1 year after patients with rheumatoid arthritis switched from a tumor necrosis factor inhibitor (TNFi) (adalimumab, certolizumab pegol, etanercept, golimumab, or infliximab), either cycling to another TNFi (“TNFi cyclers”) or switching to a new mechanism of action (abatacept, tocilizumab, or tofacitinib) (“new MOA switchers”).

Methods: This retrospective cohort study used administrative claims data for a national insurer. Treatment persistence (without switching again, restarting, or discontinuing), treatment effectiveness (defined below), and costs were assessed for the 12-month post-switch period. Patients were “effectively treated” if they satisfied all six criteria for a treatment effectiveness algorithm (high adherence, no dose increase, no new conventional synthetic disease-modifying anti-rheumatic drug, no subsequent switch in therapy, no new/increased oral glucocorticoids, and <2 glucocorticoid injections). Multivariable logistic models were used to adjust for baseline factors.

Results: The database included 581 new MOA switchers and 935 TNFi cyclers. New MOA switchers were 39% more likely than TNFi cyclers to persist after the switch (odds ratio [OR]?=?1.39; 95% confidence interval [CI]?=?1.12–1.74; p?=?.003) and 36% less likely to switch therapy again (OR?=?0.64; 95% CI?=?0.51–0.81; p?p?=?.006). New MOA switchers had 16% lower drug costs than TNFi cyclers (cost ratio?=?0.84; 95% CI?=?0.79–0.88; p?p?Limitations: Claims payments may not reflect rebates or other cost offsets. Medical and pharmacy claims do not include clinical end-points or reasons that lead to new MOA switching vs TNFi cycling.

Conclusions: These results support switching to a new MOA after a patient fails treatment with a TNFi, which is consistent with recent guidelines for the pharmacologic management of established rheumatoid arthritis.     

Major bleeding risk and healthcare economic outcomes of non-valvular atrial fibrillation patients newly-initiated with oral anticoagulant therapy in the real-world setting

Aims: This study compared the risk for major bleeding (MB) and healthcare economic outcomes of patients with non-valvular atrial fibrillation (NVAF) after initiating treatment with apixaban vs rivaroxaban, dabigatran, or warfarin.

Methods: NVAF patients who initiated apixaban, rivaroxaban, dabigatran, or warfarin were identified from the IMS Pharmetrics Plus database (January 1, 2013–September 30, 2015). Propensity score matching (PSM) was used to balance differences in patient characteristics between study cohorts: patients treated with apixaban vs rivaroxaban, apixaban vs dabigatran, and apixaban vs warfarin. Risk of hospitalization and healthcare costs (all-cause and MB-related) were compared between matched cohorts during the follow-up.

Results: During the follow-up, risks for all-cause (hazard ratio [HR]?=?1.44, 95% confidence interval [CI]?=?1.2–1.7) and MB-related (HR?=?1.57, 95% CI?=?1.0–2.4) hospitalizations were significantly greater for patients treated with rivaroxaban vs apixaban. Adjusted total all-cause healthcare costs were significantly lower for patients treated with apixaban vs rivaroxaban ($3,950 vs $4,333 per patient per month [PPPM], p?=?.002) and MB-related medical costs were not statistically significantly different ($100 vs $233 PPPM, p?=?.096). Risk for all-cause hospitalization (HR?=?1.98, 95% CI?=?1.6–2.4) was significantly greater for patients treated with dabigatran vs apixaban, although total all-cause healthcare costs were not statistically different. Risks for all-cause (HR?=?2.22, 95% CI?=?1.9–2.5) and MB-related (HR?=?2.05, 95% CI?=?1.4–3.0) hospitalizations were significantly greater for patients treated with warfarin vs apixaban. Total all-cause healthcare costs ($3,919 vs $4,177 PPPM, p?=?.025) and MB-related medical costs ($96 vs $212 PPPM, p?=?.026) were significantly lower for patients treated with apixaban vs warfarin.

Limitations: This retrospective database analysis does not establish causation.

Conclusions: In the real-world setting, compared with rivaroxaban and warfarin, apixaban is associated with reduced risk of hospitalization and lower healthcare costs. Compared with dabigatran, apixaban is associated with lower risk of hospitalizations.     

Impact of completing chronic hepatitis C (CHC) treatment on post-therapy healthcare cost

Background:

Chronic hepatitis C (CHC) is associated with significant economic burden. This study evaluated the healthcare cost alleviation associated with treatment of CHC.

Methods:

Health insurance claims from 60 self-insured US companies were analyzed (01/2001–03/2012). Adult patients with ≥1 CHC diagnosis (ICD-9-CM: 070.44, 070.54), initiating interferon, and with ≥2 dispensings and with ≥48 weeks of follow-up were selected. Patients diagnosed with HIV or who completed only 24 weeks of interferon therapy (a surrogate for CHC genotypes 2 and 3) were excluded from the study. Interferon users were categorized into complete and discontinued therapy cohorts. During the post–48-week treatment period, cohorts were compared for healthcare resource utilization using rate ratios (RRs), as well as healthcare costs using per-patient per-year (PPPY) cost differences.

Results:

A total of 1017 patients who completed and 953 patients who discontinued interferon therapy were identified. Relative to the discontinued therapy cohort, the completed therapy cohort had significantly fewer hospitalizations (RR [95% CI]?=?0.74 [0.68, 0.81], p?p?p?=?0.039), which translated into significantly lower total healthcare costs PPPY (cost difference [95% CI]?=?$4540 [1570, 7680], p?=?0.004) and hospitalization costs (cost difference [95% CI]?=?$3039 [1140, 5248], p?=?0.002). Non–CHC-related costs accounted for 55% and CHC-related costs for 45% of the all-cause cost difference between cohorts.

Limitations:

Claims data may have contained inaccuracies, and genotypes of patients with CHC could not be confirmed. The study consisted of privately insured individuals and may not be generalizable to the entire CHC population.

Conclusion:

Compared to discontinued therapy patients, CHC patients who completed interferon therapy and presumably had a higher rate of achieving SVR were found to have lower levels of healthcare resource utilization and costs post-therapy. The reduction was primarily in costs associated with non–HCV-related comorbidities.     

A comparison of treatment patterns,healthcare resource utilization,and costs among young adult Medicaid beneficiaries with schizophrenia treated with paliperidone palmitate or oral atypical antipsychotics in the US

Abstract

Background: Much of the burden associated with schizophrenia is attributed to its early onset and chronic nature. Treatment with once monthly paliperidone palmitate (PP1M) is associated with lower healthcare utilization and better adherence as compared to oral atypical antipsychotics (OAAs). This study aimed to evaluate real-world effectiveness of PP1M and OAA therapies among US-based adult Medicaid patients with schizophrenia, overall and among young adults aged 18–35 years.

Methods: Adult patients with a diagnosis of schizophrenia and at least two claims for PP1M or OAA between January 1, 2010 and December 31, 2014 were selected from the IBM Watson Health MarketScan Medicaid Database. Treatment patterns and healthcare resource utilization and costs were compared between PP1M and OAA treatment groups following inverse probability of treatment (IPT) weighting to adjust for potential differences. Utilization and cost outcomes were estimated using OLS and weighted Poisson regression models.

Results: After IPT weighting, the young adult PP1M and OAA cohorts were comprised of 3,095 and 3,155 patients, respectively. PP1M patients had a higher duration of continuous treatment exposure (168.2 vs 132.5 days, p?=?.004) and better adherence on the index medication (proportion of days covered ≥80%: 19.0% vs 17.1%, p?<?.049). Young adults treated with PP1M were 37% less likely to have an all-cause inpatient admission (odds ratio [OR]?=?0.63, 95% confidence interval [CI]?=?0.53–0.74) and 33% less likely to have an ER visit (OR?=?0.67, 95% CI?=?0.55–0.81) compared to OAA young adult patients, but 27% more likely to have an all-cause outpatient office visit (OR?=?1.27, 95% CI?=?1.02–1.56). PP1M patients incurred significantly lower medical costs as compared to OAA patients.

Conclusions: Medicaid patients with schizophrenia treated with PP1M have higher medication adherence and have fewer hospitalizations as compared to patients treated with OAAs. PP1M may lead to reduced healthcare utilization and improved clinical outcomes.     

The association of pain interference and opioid use with healthcare utilization and costs,and wage loss among adults with osteoarthritis in the United States

Abstract

Aim: To examine associations of opioid use and pain interference with activities (PIA), healthcare resource utilization (HRU) and costs, and wage loss in noninstitutionalized adults with osteoarthritis in the United States (US).

Methods: Adults with osteoarthritis identified from the Medical Expenditure Panel Survey for 2011/2013/2015 were stratified by no-opioid use with no/mild PIA, no-opioid use with moderate/severe PIA, opioid use with no/mild PIA, and opioid use with moderate/severe PIA. Outcomes included annualized total HRU, direct healthcare costs, and wage loss. Multivariable regression analyses were used for comparisons versus no-opioid use with no/mild PIA (referent). The counterfactual recycled prediction method estimated incremental costs. Results reflect weighted nationally representative data.

Results: Of 4,921 participants (weighted n?=?20,785,007), 46.5% had no-opioid use with no/mild PIA; 23.2% had no-opioid use with moderate/severe PIA; 9.6% had opioid use with no/mild PIA; and 20.7% had opioid use with moderate/severe PIA. Moderate/severe PIA and/or opioid use were associated with significantly higher HRU and associated costs, and wage loss. Relative to adults with no/mild PIA, opioid users with moderate/severe PIA were more likely to have hospitalizations, specialist visits, and emergency room visits (all p?<?.001). Relative to the referent, opioid use with no/mild PIA had higher per-patient incremental annual total healthcare costs ($11,672, 95% confidence interval [CI]?=?$11,435–$11,909) and wage loss ($1,395, 95% CI?=?$1,376–$1,414) as did opioid use with moderate/severe PIA ($13,595, 95% CI?=?$13,319–$13,871; and $2,331, 95% CI?=?$2,298–$2,363) (all p?<?.001). Compared with the referent, estimated excess national total healthcare costs/lost wages were $23.3 billion/$1.3 billion for opioid use with no/mild PIA, and $58.5 billion/$2.2 billion for opioid use with moderate/severe PIA.

Limitations: Unobservable/unmeasured factors that could not be accounted for.

Conclusions: Opioid use with moderate/severe PIA had significantly higher HRU, costs, and wage loss; opioid use was more relevant than PIA to the economic burden. These results suggest unmet needs for alternative pain management strategies.     

Evaluating medical resource utilization and costs associated with thrombocytopenia in chronic liver disease patients

Abstract

Objective:

Thrombocytopenia (TCP), defined as platelet counts <150,000/µL, is a common complication of severe chronic liver disease (CLD). This retrospective study estimated the prevalence of thrombocytopenia in a large population of CLD patients and compared medical resource utilization and medical care costs by TCP status.

Methods:

A retrospective analysis was conducted on a longitudinal administrative claims database from a large US commercial health plan. Patients assigned CLD diagnosis codes from January 1, 2000–December 31, 2003 were identified; annual ambulatory visits, ER visits, inpatient stays, and general and CLD-related medical care costs for patients with vs without TCP (identified using diagnosis codes and platelet count data if available) were compared.

Results:

Of 56,445 patients with an ICD-9-CM diagnosis for CLD, 1289 (2.3%) had a diagnosis for TCP. CLD patients with vs without a TCP diagnosis had >2.5-times the annual number of liver disease-related ambulatory visits (3.6 vs 1.4; odds ratio [OR]?=?2.6, p?<?0.01); were 13-times more likely to have a liver-related inpatient stay (OR?=?13.0, p?<?0.01); were nearly 4-times more likely to have a liver-related ER visit (OR?=?3.9, p?<?0.01); had 3.5-fold greater mean annual overall medical care costs ($43,560 vs $12,270, p?<?0.01); and had 7-fold greater annual liver disease-related medical care costs ($9940 vs $1420, p?<?0.01). Similar results were seen for patients with platelet count data indicating TCP.

Limitations:

CLD and TCP are not always diagnosed, nor is diagnosis uniform or standardized; administrative claims data are subject to coding errors, and individuals covered are not necessarily representative of the general US population. The number of CLD patients in this study with TCP (n?=?1289) is small relative to that expected in the general US population.

Conclusions:

In this analysis, CLD patients with TCP used significantly more medical resources and incurred significantly higher medical care costs than those without TCP.     

Guidelines-based treatment associated with improved economic outcomes in nontuberculous mycobacterial lung disease

Abstract

Background: The prevalence of nontuberculous mycobacterial lung disease (NTMLD) in the US has increased; however, data characterizing the associated healthcare utilization and expenditure at the national level are limited.

Objective: To examine associations between economic outcomes and the use of anti-Mycobacterium avium complex (MAC) guidelines-based treatment (GBT) for newly-diagnosed NTMLD in a US national managed care claims database (Optum^® Clinformatics^® Data Mart).

Methods: NTMLD was defined as having ≥2 claims for NTMLD (ICD-9 031.0; ICD-10 A31.0) on separate occasions ≥30?days apart (between 2007 and 2016). The cohort included patients insured continuously over a period of at least 36?months (12?months before initial NTMLD diagnostic claim and for the subsequent 24?months). Treatment was classified as GBT (consistent with American Thoracic Society/Infectious Diseases Society of America guidelines), non-GBT, or untreated. All-cause hospitalization rates and total healthcare expenditures at Year 2 were assessed as outcomes of the treatment prescribed in Year 1 after NTMLD diagnosis.

Results: A total of 1,039 patients met study criteria for NTMLD (GBT, n?=?294; non-GBT, n?=?298; untreated, n?=?447). After adjustment for baseline characteristics, GBT was associated with a significantly lower all-cause hospitalization risk vs non-GBT (odds ratio [OR]?=?0.53; 95% CI = 0.33–0.85, p?=?0.008), and vs being untreated (OR = 0.57; 95% CI = 0.35–0.91, p?=?0.020). Adjusted total healthcare expenditure in Year 2 with GBT ($69,691) was lower than that with non-GBT ($77,624) with a difference of ?$7,933 (95% CI = ?$14,968 to ?$899; p?=?0.03).

Conclusions: Patients with NTMLD in a US managed care claims database who were prescribed GBT had lower hospitalization risk than those who were prescribed non-GBT or were untreated. GBT was associated with lower total healthcare expenditure compared with non-GBT.     

Distribution and drivers of costs in type 2 diabetes mellitus treated with oral hypoglycemic agents: a retrospective claims data analysis

Objective:

To describe the distribution of costs and to identify the drivers of high costs among adult patients with type 2 diabetes mellitus (T2DM) receiving oral hypoglycemic agents.

Methods:

T2DM patients using oral hypoglycemic agents and having HbA1c test data were identified from the Truven MarketScan databases of Commercial and Medicare Supplemental insurance claims (2004–2010). All-cause and diabetes-related annual direct healthcare costs were measured and reported by cost components. The 25% most costly patients in the study sample were defined as high-cost patients. Drivers of high costs were identified in multivariate logistic regressions.

Results:

Total 1-year all-cause costs for the 4104 study patients were $55,599,311 (mean cost per patient?=?$13,548). Diabetes-related costs accounted for 33.8% of all-cause costs (mean cost per patient?=?$4583). Medical service costs accounted for the majority of all-cause and diabetes-related total costs (63.7% and 59.5%, respectively), with a minority of patients incurring >80% of these costs (23.5% and 14.7%, respectively). Within the medical claims, inpatient admission for diabetes-complications was the strongest cost driver for both all-cause (OR?=?13.5, 95% CI?=?8.1–23.6) and diabetes-related costs (OR?=?9.7, 95% CI?=?6.3–15.1), with macrovascular complications accounting for most inpatient admissions. Other cost drivers included heavier hypoglycemic agent use, diabetes complications, and chronic diseases.

Limitations:

The study reports a conservative estimate for the relative share of diabetes-related costs relative to total cost. The findings of this study apply mainly to T2DM patients under 65 years of age.

Conclusions:

Among the T2DM patients receiving oral hypoglycemic agents, 23.5% of patients incurred 80% of the all-cause healthcare costs, with these costs being driven by inpatient admissions, complications of diabetes, and chronic diseases. Interventions targeting inpatient admissions and/or complications of diabetes may contribute to the decrease of the diabetes economic burden.     

Healthcare costs in patients with advanced non-small cell lung cancer and disease progression during targeted therapy: a real-world observational study

Aims: To assess healthcare costs during treatment with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) and following disease progression in patients with advanced non-small cell lung cancer (NSCLC).

Methods: A retrospective analysis of medical records of US community oncology practices was conducted. Eligible patients had advanced NSCLC (stage IIIB/IV) diagnosed between January 1, 2008 and January 1, 2015, initiated treatment with erlotinib or afatinib (first-line or second-line), and had disease progression. Monthly Medicare-paid costs were evaluated during the TKI therapy period and following progression.

Results: The study included 364 patients. The total mean monthly cost during TKI therapy was $20,106 (95% confidence interval [CI]?=?$16,836–$23,376), of which 47.0% and 42.4% represented hospitalization costs and anti-cancer therapy costs, respectively. Following progression on TKI therapy (data available for 316 patients), total mean monthly cost was $19,274 (95% CI?=?$15,329–$23,218), and was higher in the 76.3% of patients who received anti-cancer therapy following progression than in the 23.7% of those who did not ($20,490 vs $15,364; p?<?.001). Among patients who received it, anti-cancer therapy ($11,198; 95% CI?=?$7,102–$15,295) represented 54.7% of total mean monthly cost. Among patients who did not receive anti-cancer therapy, hospitalization ($13,829; 95% CI?=?$4,922–$22,736) represented 90.0% of total mean monthly cost. Impaired performance status and brain metastases were significant predictors of increased cost during TKI therapy.

Limitations: The study design may limit the generalizability of findings.

Conclusions: Healthcare costs during TKI treatment and following progression appeared to be similar and were largely attributed to hospitalization and anti-cancer therapy. Notably, almost one-quarter of patients did not receive anti-cancer therapy following progression, potentially indicating an unmet need; hospitalization was the largest cost contributor for these patients. Additional effective targeted therapies are needed that could prolong progression-free survival, leading to fewer hospitalizations for EGFR mutation-positive patients.     

Economic burden of comorbid chronic kidney disease and diabetes

Objective: To estimate real-world healthcare utilization and expenditures across the spectrum of chronic kidney disease (CKD), as determined by estimated glomerular filtration rate (eGFR) categories in patients with diabetes.

Methods: This study employed a retrospective cohort study design using the Truven Healthcare and Claims Dataset from 2009–2012. Index date was defined as the first eGFR value during a continuous enrollment period of 24 months. Cohorts of patients were stratified by Kidney Disease: Improving Global Outcomes CKD stage based on eGFR (stages 1: ≥90?mL/min/1.73?m²; 2: 60–89; 3A: 45–59; 3B: 30–44; 4: 15–29; 5: <15). Healthcare expenditures (total patient and payer paid claims) and utilization (number of claims or visits) were estimated 12-months post-index date using generalized linear modeling and negative binomial modeling, respectively, after adjusting for baseline characteristics.

Results: Of 130,098 patients with an index eGFR value and 24-months continuous enrolment, 64,521 (49.59%) were in stage 1 CKD, 47,816 (36.75%) were in stage 2, 13,377 (10.28%) were in stage 3A, 3,217 (2.47%) were in stage 3B, 898 (0.69%) were in stage 4, and 269 (0.21%) were in stage 5. Patients in stages 3A, 3B, and 4 CKD had 1.32 (95% CI?=?1.22–1.43), 1.59 (95% CI?=?1.41–1.80), and 2.65 (95% CI?=?2.23–3.14) times higher rates of diabetes-associated inpatient visits, respectively, compared with stage 1 CKD patients. Patients in stages 3A, 3B, and 4 CKD had increased incremental total annual healthcare expenditures of $1,732 (95% CI?=?$1,109–$2,356), $2,632 (95% CI?=?$1,647–$3,619), and $6,949 (95% CI?=?$5,466–$8,432), respectively, compared with stage 1 CKD patients.

Limitations: The claims data were generated for billing and reimbursement, not for research purposes.

Conclusions: These real-world data suggest an incremental and significant increase in economic burden in diabetes as kidney function declines, starting with moderate (stage 3A) CKD.     

Outcomes associated with concordance of oral antidiabetic drug treatments to prescribing information in patients with type 2 diabetes mellitus and chronic kidney disease

Abstract

Objectives:

This retrospective study aims to examine the association between prescribing information (PI)-concordant oral antidiabetic drug (OAD) treatment and clinical and economic outcomes in patients with type 2 diabetes mellitus and stages 3–5 chronic kidney disease (CKD).

Methods:

The study used a large, national administrative claims database with laboratory findings to identify patients with a diagnosis of diabetes and indication of stages 3–5 CKD (first observed indication as the index date) between 1/1/2005 and 30/06/2009. OADs prescribed during 6 months following the index date (baseline period) were evaluated and patients were considered non-PI-concordant if any did not meet the recommendations regarding patients with renal impairment. Glycemic control and measures of healthcare costs (standardized to 2010 US dollars using the Consumer Price Index) and resource utilization were assessed during the 12 months following the baseline period. Severe hypoglycemic events were assessed after the baseline period until lost to follow-up. Regression analyses were performed after adjusting for demographic and clinical characteristics.

Results:

Among the 3300 patients included in the study, 2454 (74.4%) were non-PI-concordant. The non-PI-concordant patients had higher risk of severe hypoglycemic events identified in all settings (HR?=?1.35, 95% CI: 1.10–1.67) and events identified in inpatient hospital setting (HR?=?2.51, 95% CI: 1.49–4.22), were more likely to have inpatient hospital admissions (OR?=?1.27, 95% CI: 1.02–1.57), and were less likely to have glycemic control (OR?=?0.56, 95% CI: 0.44–0.71). Annual diabetes-related cost was $1638 higher in the non-PI-concordant cohort (p?=?0.0048).

Limitations:

The retrospective cohort design does not allow for conclusions to be drawn on the causal effect of PI-concordant use based on the associations observed.

Conclusion:

Our findings suggest PI-concordant treatment to be associated with better clinical and diabetes-associated economic outcomes. Future research is warranted to confirm the associations found in this study.     

Healthcare resource utilization and direct costs associated with frequent nausea in episodic migraine: results from the American Migraine Prevalence and Prevention (AMPP) Study

Abstract

Background:

Nausea is a common migraine symptom that is associated with impaired quality-of-life and functional disability. In this study, population-based data were used to elucidate the relationship between nausea frequency and headache-related healthcare utilization and costs in persons with migraine.

Research design and methods:

Participants with episodic migraine who completed the 2009 American Migraine Prevalence and Prevention (AMPP) Study survey rated their headache-related nausea as occurring never, rarely, <half the time, or ≥half the time with their headaches, and completed questions on symptom frequency and healthcare resource utilization.

Main outcomes measures:

Ordinal logistic regression models were used to assess the association between nausea frequency and headache-related healthcare utilization. Healthcare cost equivalents were calculated.

Results:

Among the 6488 respondents with episodic migraine, the number of respondents observed across headache-related nausea frequency strata were 6.9% for never, 14.5% for rarely, 29.1% for <half the time, and 49.5% for ≥half the time. In unadjusted models, the odds of having ≥1 healthcare encounter for headache in the preceding year increased with frequency of nausea for primary care/obstetrics-gynecology visits (OR?=?1.41; 95% CI?=?1.30–1.52, p?<?0.001), nurse practitioner/physician assistant visits (OR?=?1.52; 95% CI?=?1.25–1.85, p?<?0.001), neurology/headache clinic visits (OR?=?1.33, 95% CI?=?1.18–1.51, p?<?0.001), pain clinic visits (OR?=?1.31, 95% CI?=?1.01–1.71, p?<?0.05), emergency department visits (OR?=?1.85; 95% CI?=?1.56–2.19, p?<?0.01), and overnight hospital stays (OR?=?1.50, 92% CI?=?1.12–2.00, p?<?0.01). The odds of having ≥1 lifetime CT scan or MRI also increased with the frequency of nausea (p?<?0.001 for both). Results remained significant in these analyses when controlling for sociodemographics and overall symptom severity except in the case of pain clinic visits (p?<?0.107). Visits for Mental Health and visits for Chiropractic/Alternative care did not differ significantly by nausea group in unadjusted or adjusted models. Mean estimated direct headache-related healthcare cost equivalents per person per year generally increased with increasing headache-related nausea frequency across categories of healthcare utilization. Average per person healthcare cost for nausea ≥half the time vs nausea never was $179 and $49 yearly for outpatient services, $183 vs $20 yearly for overnight hospital stays, and $314 vs $257 for lifetime diagnostic services/imaging.

Conclusions:

Direct costs of migraine increase with increasing frequency of migraine-associated nausea. Both frequency and severity of headache-related nausea should be monitored as part of ongoing care of persons with migraine. Headache-related nausea, like headache pain, should be considered an area of central concern during clinical, diagnostic, and treatment optimization assessments.

Study limitations:

This study relied on self-reported headache frequency and healthcare costs which are subject to recall bias and under-reporting; however, reporting bias is unlikely to be different as a function of nausea frequency. In addition, medication use costs and indirect costs (which may be higher than direct costs for migraine) were not assessed.     

Real-world comparison of all-cause hospitalizations,hospitalizations due to stroke and major bleeding,and costs for non-valvular atrial fibrillation patients prescribed oral anticoagulants in a US health plan

Aims: To compare the risk of all-cause hospitalization and hospitalizations due to stroke/systemic embolism (SE) and major bleeding, as well as associated healthcare costs for non-valvular atrial fibrillation (NVAF) patients initiating apixaban, dabigatran, rivaroxaban, or warfarin.

Materials and methods: NVAF patients initiating apixaban, dabigatran, rivaroxaban, or warfarin were selected from the OptumInsight Research Database from January 1, 2013–September 30, 2015. Propensity score matching (PSM) was performed between apixaban and each oral anticoagulant. Cox models were used to estimate the risk of stroke/SE and major bleeding. Generalized linear and 2-part models were used to compare healthcare costs.

Results: Of the 47,634 eligible patients, 8,328 warfarin-apixaban pairs, 3,557 dabigatran-apixaban pairs, and 8,440 rivaroxaban-apixaban pairs were matched. Compared to apixaban, warfarin patients were associated with a significantly higher risk of all-cause (hazard ratio [HR]?=?1.30; 95% confidence interval [CI]?=?1.21–1.40) as well as stroke/SE-related (HR?=?1.60; 95% CI?=?1.23–2.07) and major bleeding-related (HR?=?1.95; 95% CI?=?1.60–2.39) hospitalization; rivaroxaban patients were associated with a higher risk of all-cause (HR?=?1.15; 95% CI?=?1.07–1.24) and major bleeding-related hospitalization (HR?=?1.71; 95% CI?=?1.39–2.10); and dabigatran patients were associated with a higher risk of major bleeding hospitalization (HR?=?1.46, 95% CI?=?1.02–2.10). Warfarin patients had significantly higher major bleeding-related and total all-cause healthcare costs compared to apixaban patients. Rivaroxaban patients had significantly higher major bleeding-related costs compared to apixaban patients. No significant results were found for the remaining comparisons.

Limitations: No causal relationships can be concluded, and unobserved confounders may exist in this retrospective database analysis.

Conclusions: This study demonstrated a significantly higher risk of hospitalization (all-cause, stroke/SE, and major bleeding) associated with warfarin, a significantly higher risk of major bleeding hospitalization associated with dabigatran or rivaroxaban, and a significantly higher risk of all-cause hospitalization associated with rivaroxaban compared to apixaban. Lower major bleeding-related costs were observed for apixaban patients compared to warfarin and rivaroxaban patients.