Treatment patterns and healthcare costs among newly-diagnosed patients with chronic myeloid leukemia receiving dasatinib or nilotinib as first-line therapy in the United States

Objective: To compare treatment patterns and economic outcomes of dasatinib and nilotinib as 1st-line therapies for chronic myeloid leukemia (CML).

Methods: Adult CML patients initiated on first-line dasatinib or nilotinib in 2010–2014 were identified from two large US administrative claims databases. Treatment patterns, tyrosine kinase inhibitor (TKI) adherence and healthcare resource utilization (HRU) and costs were measured from the 1st-line TKI initiation (index date) to the end of follow-up.

Results: A total of 604 and 418 patients were included in the dasatinib and nilotinib cohorts (mean ages = 50.9 and 52.5 years, 46.4% and 45.7% female), respectively. Among the dasatinib patients, 91% started with 100?mg/day, 3% with <100?mg/day, and 6% with >100?mg/day. Among the nilotinib patients, 76% started with 600?mg/day, 16% with >600?mg/day, and 8% <600?mg/day. The dasatinib cohort had a higher hazard of dose decrease (hazard ratio [HR]?=?1.66; p?=?.002) and of switching to another TKI (HR =1.62; p?=?.019) compared to the nilotinib cohort. The hazard of dose increase (HR =0.76; p?=?.423) and treatment discontinuation (HR =1.10; p?=?.372) were not significantly different between cohorts. There was also no significant difference in TKI adherence levels (mean proportion of days covered [PDC] difference over first 6 months = ?0.0003, p?=?.981; mean PDC difference over first 12 months = ?0.0022, p?=?.880) and HRU (inpatient day incidence rate ratio [IRR]?=?1.03, p?=?.930; emergency room IRR =1.26, p?=?.197; and days with outpatient services IRR = 1.01, p?=?.842). The dasatinib cohort incurred higher healthcare costs by $749 per patient per month (p?=?.044) compared to the nilotinib cohort.

Limitation: Information on CML phase and Sokal score was not available.

Conclusions: Dasatinib was associated with an increased hazard of dose decrease and switching to another TKI and higher healthcare costs, vs nilotinib.     

The economic burden of switching targeted disease-modifying anti-rheumatic drugs among rheumatoid arthritis patients

Aims: To estimate real world healthcare costs and resource utilization of rheumatoid arthritis (RA) patients associated with targeted disease modifying anti-rheumatic drugs (tDMARD) switching in general and switching to abatacept specifically.

Materials and methods: RA patients initiating a tDMARD were identified in IMS PharMetrics Plus health insurance claims data (2010–2016), and outcomes measured included monthly healthcare costs per patient (all-cause, RA-related) and resource utilization (inpatient stays, outpatient visits, emergency department [ED] visits). Generalized linear models were used to assess (i) average monthly costs per patient associated with tDMARD switching, and (ii) among switchers only, costs of switching to abatacept vs tumor necrosis factor inhibitors (TNFi) or other non-TNFi. Negative binomial regressions were used to determine incident rate ratios of resource utilization associated with switching to abatacept.

Results: Among 11,856 RA patients who initiated a tDMARD, 2,708 switched tDMARDs once and 814 switched twice (to a third tDMARD). Adjusted average monthly costs were higher among patients who switched to a second tDMARD vs non-switchers (all-cause: $4,785 vs $3,491, p?p?p?p?=?.021), and numerically lower all-cause costs ($4,444 vs $4,741, p?=?0.188). Switchers to TNFi relative to abatacept had more frequent inpatient stays after switch (incidence rate ratio (IRR) = 1.85, p?=?.031), and numerically higher ED visits (IRR = 1.32, p?=?.093). Outpatient visits were less frequent for TNFi switchers (IRR = 0.83, p?Limitations and conclusions: Switching to another tDMARD was associated with higher healthcare costs. Switching to abatacept, however, was associated with lower RA-related costs, fewer inpatient stays, but more frequent outpatient visits compared to switching to a TNFi.     

The economic burden of psoriasis with high comorbidity among privately insured patients in the United States

Objective: To evaluate the impact of comorbidities on healthcare resource use (HRU), and direct and indirect work-loss-related costs in psoriasis patients.

Methods: Adults with psoriasis (≥2 diagnoses, the first designated as the index date) and non-psoriasis controls (no psoriasis diagnoses, randomly generated index date) were identified in a US healthcare claims database of privately-insured patients (data between January 2010 and March 2017 were used). Psoriasis patients were stratified based on the number of psoriasis-related comorbidities (0, 1–2, or ≥3) developed during the 12?months post-index. All outcomes were evaluated during the follow-up period, spanning the index date until the end of continuous health plan eligibility or data cut-off. HRU and costs per-patient-per-year (PPPY) were compared in psoriasis and non-psoriasis patients with ≥12?months of follow-up.

Results: A total of 9,078 psoriasis (mean age?=?44?years, 51% female) and 48,704 non-psoriasis (mean age?=?41?years, 50% female) patients were selected. During the 12?months post-index, among psoriasis vs non-psoriasis patients, 71.0% vs 83.0% developed no psoriasis-related comorbidities, 26.3% vs 16.0% developed 1–2, and 2.6% vs 1.0% developed ≥3 psoriasis-related comorbidities. Compared to non-psoriasis patients, psoriasis patients had more HRU including outpatient visits (incidence rate ratios [IRRs]?=?1.52, 2.03, and 2.66 for 0, 1–2, and ≥3 comorbidities, respectively [all p?p?p?p?Conclusions: HRU and cost burden of psoriasis are substantial, and increase with the development of psoriasis-related comorbidities.     

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.     

A real-world analysis of healthcare costs and relative risk of hyperprolactinemia associated with antipsychotic treatments in the United States

Abstract

Aims: Antipsychotic medications are associated with an increased risk of hyperprolactinemia, but differ in their propensity to cause this complication. This study aimed to assess the economic burden of hyperprolactinemia, and to compare its risk among adult patients using atypical antipsychotics (AAs) with a mechanism of action associated with no/low vs high/moderate prolactin elevation.

Methods: This retrospective cohort study was based on US Commercial and Medicaid claims databases. Healthcare costs were compared between matched hyperprolactinemia and hyperprolactinemia-free cohorts using a two-part model. Risk of hyperprolactinemia was compared between patients receiving AAs with a mechanism of action associated with no/low (no/low prolactin elevation cohort) vs high/moderate prolactin elevation (high/moderate prolactin cohort) using logistic regression.

Results: In the commercially insured sample, compared to the hyperprolactinemia-free cohort (n?=?499), the hyperprolactinemia cohort (n?=?499) was associated with incremental total healthcare costs of $5,732 ($20,081 vs $14,349; p?=?.004), and incremental medical costs of $3,861 ($13,218 vs $9,357; p?=?.040), mainly driven by hyperprolactinemia-related costs. In the Medicaid-insured sample, compared to the hyperprolactinemia-free cohort, the hyperprolactinemia cohort was associated with incremental total healthcare costs of $10,773 ($30,763 vs $19,990; p?=?.004), and incremental medical costs of $9,246 ($20,859 vs $11,613; p?=?.004), mainly driven by hyperprolactinemia-related and mental health-related costs. The odds of hyperprolactinemia in the no/low prolactin elevation cohort were 4–5-times lower than that in the high/moderate prolactin elevation cohort (odds ratio =0.21; p?<?.001).

Limitations: Hyperprolactinemia may be under-reported in claims data.

Conclusions: Hyperprolactinemia is associated with substantial healthcare costs. AAs associated with no/low prolactin elevation reduce the risk of hyperprolactinemia by 4–5-times compared to AAs associated with moderate/high prolactin elevation. Treatment options with minimal impact on prolactin levels may contribute to reducing hyperprolactinemia burden in AA-treated patients.     

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.     

Short-term disability in solid tumor patients with bone metastases and skeletal-related events

Abstract

Objective:

The skeleton is a common site of metastasis in patients with solid tumors. These patients often experience pain and reduced quality-of-life. This analysis evaluated the time and costs associated with short-term disability use among solid tumor patients with bone metastases (BM) and skeletal-related events (SREs).

Methods:

Data from patients 18–64 years old with solid tumors and BM, eligible for short-term disability benefits between January 1, 2002 and December 31, 2010, were extracted from MarketScan Research Databases. Short-term disability hours and costs associated with BM and SREs were evaluated.

Results:

Overall, 1098 patients met the criteria. For all patients with BM, the monthly mean short-term disability hours were 17.7?h pre-BM diagnosis and increased to 60.2?h post-BM diagnosis (p?<?0.001). The corresponding mean monthly short-term disability costs were $277 and $963 in the pre- and post-BM diagnosis periods, respectively (p?<?0.001). Monthly mean short-term disability hours were higher for the cohort of patients with SREs (21.2?h pre-SRE diagnosis and 67.4?h post-SRE diagnosis) than for those without an SRE (8.6?h pre-SRE diagnosis and 14.4?h post-SRE diagnosis) (p?<?0.001). Similarly, the corresponding monthly mean short-term disability costs were higher for patients with SREs ($625 and $1259 pre- and post-SRE diagnosis, respectively) than for patients without an SRE ($452 and $612 pre- and post-SRE diagnosis, respectively) (p?<?0.001). Results of a multivariate analysis indicated that SREs were associated with an additional 39.4 short-term disability hours and $613 in short-term disability costs per month (p?<?0.001).

>Conclusion:

Short-term disability hours and costs increased significantly when patients with solid tumors developed BM and SRE.     

Medical resource utilisation and healthcare costs in patients with chronic hepatitis C viral infection and thrombocytopenia

Abstract

Background:

Thrombocytopenia is a significant risk for patients with chronic HCV infection and a common side-effect of treatment with pegylated (PEG) interferon (IFN). Thrombocytopenia predisposes patients to bleeding and requirements for platelet transfusions, and may thus place an increased burden on patients and on medical resource utilisation.

Scope:

In a retrospective analysis of an integrated, longitudinal database of medical and pharmacy claims and laboratory results in a US commercial health (insurance) plan, patients with chronic hepatitis C viral (HCV) infection were identified by reviewing ICD-9-CM HCV-, chronic liver disease-, and cirrhosis-related diagnoses. Medical resource utilisation and laboratory results were evaluated during the year following the HCV diagnosis index date as well as during the baseline year prior to that index date. Medical resource utilisation was determined by comparing outpatient visits, emergency department (ER) visits, and inpatient hospital stays for HCV patients with or without thrombocytopenia.

Findings:

HCV patients diagnosed with thrombocytopenia had a greater incidence of bleeding events (27.3 vs. 9.9%), platelet transfusions (8.5 vs. <1%), liver disease-related ambulatory visits (10.4 vs. 4.4; odds ratio [OR]?=?2.3; p?<?0.001), ER visits (OR?=?8.6; p?<?0.01), and inpatient hospital stays (OR?=?17.7; p?<?0.01) during the study period compared with HCV patients without a thrombocytopenia diagnosis. HCV patients with thrombocytopenia had significantly higher overall healthcare costs ($37,924 vs. $12,174; p?<?0.001) and liver disease-related costs ($14,569 vs. $4107; p?<?0.001) than patients without thrombocytopenia.

Limitations:

Administrative claims data are subject to coding errors; additionally, the patient population may not be completely representative of the general chronic HCV population.

Conclusions:

Diagnosis of thrombocytopenia in patients with HCV is associated with increased incidence of certain comorbidities, complications, and medical interventions, and significantly increased medical resource utilisation.     

Comparison of economic and clinical outcomes between patients undergoing laparoscopic bariatric surgery with powered versus manual endoscopic surgical staplers

Aims: To compare economic and clinical outcomes between patients undergoing laparoscopic Roux-en-Y gastric bypass (LRY) or laparoscopic sleeve gastrectomy (LSG) with use of powered vs manual endoscopic surgical staplers.

Materials and methods: Patients (aged ≥21 years) who underwent LRY or LSG during a hospital admission (January 1, 2012–September 30, 2015) were identified from the Premier Perspective Hospital Database. Use of powered vs manual staplers was identified from hospital administrative billing records. Multivariable analyses were used to compare the following outcomes between the powered and manual stapler groups, adjusting for patient and hospital characteristics and hospital-level clustering: hospital length of stay (LOS), total hospital costs, medical/surgical supply costs, room and board costs, operating room costs, operating room time, discharge status, bleeding/transfusion during the hospital admission, and 30, 60, and 90-day all-cause readmissions.

Results: The powered and manual stapler groups comprised 9,851 patients (mean age?=?44.6 years; 79.3% female) and 21,558 patients (mean age?=?45.0 years; 78.0% female), respectively. In the multivariable analyses, adjusted mean hospital LOS was 2.1 days for both the powered and manual stapler groups (p?=?.981). Adjusted mean total hospital costs ($12,415 vs $13,547, p?=?.003), adjusted mean supply costs ($4,629 vs $5,217, p?=?.011), and adjusted mean operating room costs ($4,126 vs $4,413, p?=?.009) were significantly lower in the powered vs manual stapler group. The adjusted rate of bleeding and/or transfusion during the hospital admission (2.46% vs 3.22%, p?=?.025) was significantly lower in the powered vs manual stapler group. The adjusted rates of 30, 60, and 90-day all-cause readmissions were similar between the groups (all p?>?.05). Sub-analysis by manufacturer showed similar results.

Limitations: This observational study cannot establish causal linkages.

Conclusions: In this analysis of patients who underwent LRY or LSG, the use of powered staplers was associated with better economic outcomes, and a lower rate of bleeding/transfusion vs manual staplers in the real-world setting.     

Healthcare costs of urinary tract infections and genital mycotic infections among patients with type 2 diabetes mellitus initiated on canagliflozin: a retrospective cohort study

Objective: To assess the economic impact of urinary tract infections (UTIs) and genital mycotic infections (GMIs) among patients with type 2 diabetes mellitus (T2DM) initiated on canagliflozin.

Methods: Administrative claims data from April 2013 through June 2014 MarketScan^® databases were extracted. Adults with ≥1 claim for canagliflozin, T2DM diagnosis, and ≥90 days enrollment before and after canagliflozin initiation were propensity score matched to controls with T2DM initiated on other anti-hyperglycemic agents (AHAs). UTI and GMI healthcare costs were evaluated 90-days post-index and reported as cohort means.

Results: Rates of UTI claims 90 days post-index were similar in patients receiving canagliflozin for T2DM (n?=?31,257) and matched controls (2.7% vs 2.8%, p?=?.677). More canagliflozin than control patients had GMI claims (1.2% vs 0.6%, p?p?p?=?.150). GMI treatment costs were higher for the canagliflozin cohort ($3.68 vs $2.44, p?=?.041). Combined costs to treat either UTI and/or GMI averaged $31.29 per patient for the canagliflozin cohort v $39.77 for controls (p?=?.211). Rates and costs of UTIs and GMIs were higher for females than males, but the canagliflozin vs control trends observed for the overall sample were similar for both sexes. There were no significant cost differences between the canagliflozin and control cohorts among patients aged 18–64. Among patients aged 65 and above, GMI treatment costs were not significantly different, but costs to treat UTIs and either UTI and/or GMI were significantly lower for canagliflozin patients vs controls.

Conclusions: In a real-world setting, the costs to payers of treating UTIs and GMIs are generally similar for patients with T2DM initiated on canagliflozin vs other AHAs.     

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.     

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.     

The economic burden of common adverse events associated with metastatic colorectal cancer treatment in the United States

Aims: Adverse events (AEs) associated with treatments for metastatic colorectal cancer (mCRC) may compromise the course of treatment, impact quality-of-life, and increase healthcare resource utilization. This study assessed the direct healthcare costs of common AEs among mCRC patients in the US.

Methods: Adult mCRC patients treated with chemotherapy or targeted therapies were identified from administrative claims databases (2009–2014). Up to the first three mCRC treatment episodes per patient were considered and categorized as with or without the AE system/organ category during the episode. Total healthcare costs (2014 USD) were measured by treatment episode and reported on a monthly basis. Treatment episodes with the AE category were matched by treatment type and line of treatment to those without the AE category. Adjusted total cost differences were estimated by comparing costs during treatment episodes with vs without the AE category using multivariate regression models; p-values were estimated with bootstrap.

Results: A total of 4158 patients with ≥1 mCRC treatment episode were included (mean age?=?59 years; 58% male; 60% with liver and 14% with lung metastases; 2,261 [54%] with a second and 1,115 [27%] with a third episode). On average, two treatment episodes were observed per patient with an average length of 166 days per episode. Adjusted monthly total cost difference by AE category included hematologic ($1,480), respiratory ($1,253), endocrine/metabolic ($1,213), central nervous system (CNS; $1,136), and cardiovascular ($1,036; all p?Limitations: Claims do not include information on the cause of AEs, and potentially less severe AEs may not have been reported by the physician when billing the medical service. This study aimed to assess the association between costs and AEs and not the causation of AEs by treatment.

Conclusions: The most costly AEs among mCRC patients were hematologic, followed by respiratory, endocrine/metabolic, CNS, and cardiovascular.     

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.     

Comorbidity and economic burden among moderate-to-severe psoriasis and/or psoriatic arthritis patients in the US Department of Defense population

Aims: To examine the comorbidity and economic burden among moderate-to-severe psoriasis (PsO) and/or psoriatic arthritis (PsA) patients in the US Department of Defense (DoD) population.

Materials and methods: This retrospective cohort claims analysis was conducted using DoD data from November 2010 to October 2015. Adult patients with ≥2 diagnoses of PsO and/or PsA (cases) were identified, and the first diagnosis date from November 2011 to October 2014 was defined as the index date. Patients were considered moderate-to-severe if they had ≥1 non-topical systemic therapy or phototherapy during the 12 months pre- or 1 month post-index date. Patients without a PsO/PsA diagnosis during the study period (controls) were matched to cases on a 10:1 ratio based on age, sex, region, and index year; the index date was randomly selected. One-to-one propensity score matching (PSM) was conducted to compare study outcomes in the first year post-index date, including healthcare resource utilization (HRU), costs, and comorbidity incidence.

Results: A total of 7,249 cases and 72,490 controls were identified. The mean age was 48.1 years. After PSM, comorbidity incidence was higher among cases, namely dyslipidemia (18.3% vs 13.5%, p?<?.001), hypertension (13.8% vs 8.7%, p?<?.001), and obesity (8.8% vs 6.1%, p?<?.001). Case patients had significantly higher HRU and costs, including inpatient ($2,196 vs $1,642; p?<?.0016), ambulatory ($8,804 vs 4,642; p?<?.001), emergency room ($432 vs $350; p?<?.001), pharmacy ($6,878 vs $1,160; p?<?.001), and total healthcare costs ($18,311 vs $7,795; p?<?.001).

Limitations: Claims data are collected for payment purposes; therefore, such data may have limitations for clinical research.

Conclusions: During follow-up, DoD patients with moderate-to-severe PsO and/or PsA experienced significantly higher HRU, cost, and comorbidity burden.     

Economic burden of sarcoidosis in a commercially-insured population in the United States

Background: Sarcoidosis is a multi-system inflammatory disorder characterized by the presence of non-caseating granulomas in involved organs. Patients with sarcoidosis have a reduced quality-of-life and are at an increased risk for several comorbidities. Little is known about the direct and indirect cost of sarcoidosis following the initial diagnosis.

Aims: To provide an estimate of the healthcare resource utilization (HCRU) and costs borne by commercial payers for sarcoidosis patients in the US.

Methods: Patients with a first diagnosis of sarcoidosis between January 1, 1998 and March 31, 2015 (“index date”) were selected from a de-identified privately-insured administrative claims database. Sarcoidosis patients were required to have continuous health plan enrollment 12 months prior to and following their index dates. Propensity-score (1:1) matching of sarcoidosis patients with non-sarcoidosis controls was carried out based on a logistic regression of baseline characteristics. Burden of HCRU and work loss (disability days and medically-related absenteeism) were compared between the matched groups over the 12-month period following the index date (“outcome period”).

Results: A total of 7,119 sarcoidosis patients who met the selection criteria were matched with a control. Overall, commercial payers incurred $19,714 in mean total annual healthcare costs per sarcoidosis patient. The principle cost drivers were outpatient visits ($9,050 2015 USD, 46%) and inpatient admissions ($6,398, 32%). Relative to controls, sarcoidosis patients had $5,190 (36%) higher total healthcare costs ($19,714 vs $14,524; p?p?p?Background: Sarcoidosis is a multi-system inflammatory disorder characterized by the presence of non-caseating granulomas in involved organs. Patients with sarcoidosis have a reduced quality-of-life and are at an increased risk for several comorbidities. Little is known about the direct and indirect cost of sarcoidosis following the initial diagnosis.

Aims: To provide an estimate of the healthcare resource utilization (HCRU) and costs borne by commercial payers for sarcoidosis patients in the US.

Methods: Patients with a first diagnosis of sarcoidosis between January 1, 1998 and March 31, 2015 (“index date”) were selected from a de-identified privately-insured administrative claims database. Sarcoidosis patients were required to have continuous health plan enrollment 12 months prior to and following their index dates. Propensity-score (1:1) matching of sarcoidosis patients with non-sarcoidosis controls was carried out based on a logistic regression of baseline characteristics. Burden of HCRU and work loss (disability days and medically-related absenteeism) were compared between the matched groups over the 12-month period following the index date (“outcome period”).

Results: A total of 7,119 sarcoidosis patients who met the selection criteria were matched with a control. Overall, commercial payers incurred $19,714 in mean total annual healthcare costs per sarcoidosis patient. The principle cost drivers were outpatient visits ($9,050 2015 USD, 46%) and inpatient admissions ($6,398, 32%). Relative to controls, sarcoidosis patients had $5,190 (36%) higher total healthcare costs ($19,714 vs $14,524; p?<?0.001). Sarcoidosis patients also had significantly more work loss days (15.9 vs 11.3; p?<?0.001) and work loss costs ($3,288 vs $2,527; p?<?0.001) than matched controls. Sarcoidosis imposes an estimated total direct medical cost of $1.3–$8.7 billion to commercial payers, and an indirect cost of $0.2–$1.5 billion to commercial payers in work loss.

Conclusions: Sarcoidosis imposes a significant economic burden to payers in the first year following diagnosis.