Respiratory Syncytial Virus-Related Complications and Healthcare Costs Among a Medicare-Insured Population in the United States.

Background: Literature describing respiratory syncytial virus (RSV)-related complications in older adults in the United States is scarce. This study described risk factors of RSV-related complications and healthcare costs of Medicare-insured patients aged ≥60 years with medically attended RSV. Methods: 100% Medicare Research Identifiable Files (1 January 2007-31 December 2019) were used to identify adults aged ≥60 years with RSV (index: first diagnosis date). Predictors of ≥1 RSV-related complication (ie, pneumonia, acute respiratory failure, congestive heart failure, hypoxia/dyspnea, non-RSV lower/upper respiratory tract infections, or chronic respiratory disease) during the up to 6-month post-RSV diagnosis period were identified. Patients with all aforementioned diagnoses during the 6 months pre-index could not be evaluated for a complication and were therefore ineligible for analyses. Differences between 6-month pre- and post-index total all-cause and respiratory/infection-related healthcare costs were assessed. Results: Overall, 175 392 patients with RSV were identified. Post-RSV diagnosis, 47.9% had ≥1 RSV-related complication, with mean time-to-event of 1.0 month. The most common complications were pneumonia (24.0%), chronic respiratory disease (23.6%), and hypoxia or dyspnea (22.0%). Baseline predictors of ≥1 RSV-related complication included having previous diagnoses for complication/comorbidity listed in the Methods, hypoxemia, chemotherapy, chest radiograph, stem cell transplant, and anti-asthmatic and bronchodilator use. Total all-cause and respiratory/infection-related healthcare costs were $7797 and $8863 higher, respectively, post-index versus pre-index (both P < .001). Conclusions: In this real-world study, almost half of patients with medically attended RSV experienced an RSV-related complication within 1 month post-RSV diagnosis, and costs significantly increased post-diagnosis. Having a complication/comorbidity pre-RSV predicted a higher risk of developing a different complication post-RSV infection.

Economic Burden Associated With Nasal Polyposis Recurrence Among Commercially Insured Patients in the United States.

OBJECTIVE: To compare health care resource utilization (HRU) and costs among commercially insured patients with nasal polyposis (NP) with and without recurrence after endoscopic sinus surgery (ESS). STUDY DESIGN: Retrospective matched cohort study. SETTING: Adults with initial ESS or an NP excision after a new NP diagnosis were identified in Optum's Clinformatics Data Mart Database (October 1, 2014-December 31, 2019). METHODS: The index date was the date of NP recurrence, identified with a claims-based algorithm for the recurrent cohort, or a random date for the nonrecurrent cohort. Patients in both cohorts were matched 1:1 on baseline characteristics (12 months preindex) via propensity scores and exact matching factors. Annual HRU and costs (2019 US$) were compared between the matched cohorts at 12 months postindex. RESULTS: NP recurrence was identified among 3343 of 16,693 patients with initial ESS; after matching, each cohort comprised 1574 patients (median age, 54 years; 40% female) with similar baseline health care costs (recurrent, $34,420; nonrecurrent, $33,737). At 12 months postindex, the recurrent cohort had higher HRU, including 36% and 51% more outpatient and emergency department visits, respectively (all P < .01). Mean health care costs were $9676 higher in the recurrent cohort ($24,039) relative to the nonrecurrent cohort ($14,363, P < .01). The mean cost difference between cohorts was driven by $8211 in additional outpatient costs, as well as $6062 in additional NP-related outpatient costs, in the recurrent cohort (all P < .01). CONCLUSION: NP recurrence is associated with a substantial economic burden, which appears to be driven by outpatient services.

Chronic Myeloid Leukemia: Part II-Cost of Care Among Patients in Advanced Phases or Later Lines of Therapy in Chronic Phase in the United States from a Commercial Perspective.

Background: Tyrosine kinase inhibitors (TKIs) are the standard-of-care treatment for chronic myeloid leukemia in chronic phase (CML-CP). Despite advances in therapy, there remains a proportion of patients with CML-CP that are refractory/intolerant to TKIs, and these patients cycle through multiple lines of therapy. Moreover, even with TKIs, some patients progress to accelerated phase/blast crisis (AP/BC), which is associated with particularly poor clinical outcomes. Objectives: To describe real-world treatment patterns, healthcare resource utilization (HRU), and costs of patients with CML-CP reaching later lines of therapy or progressing to AP/BC in the United States. Methods: Adult CML patients from administrative claims data (January 1, 2000-June 30, 2019) were classified by health state: on third-line (CML-CP On Treatment), on fourth or later lines (CML-CP Post-Discontinuation), or progressed to AP/BC (CML-AP/BC). Outcomes were assessed by health state. Results: There were 296 (4620 patient-months), 83 (1644 patient-months), and 949 (25 593 patient-months) patients classified in the CML-CP On Treatment, CML-CP Post-Discontinuation, and CML-AP/BC cohorts, respectively. Second-generation TKIs (nilotinib, dasatinib, and bosutinib) were most commonly used in the CML-CP On Treatment (69.1% of patient-months) and CML-CP Post-Discontinuation cohorts (59.1% of patient-months). Three-month outpatient incidence rates (IRs) were 7.6, 8.3, and 7.0 visits in the CML-CP On Treatment, CML-CP Post-Discontinuation, and CML-AP/BC cohort, respectively, with mean costs of $597 per service. Three-month inpatient IRs were 0.6, 0.7, and 1.4 days in the CML-CP On Treatment, CML-CP Post-Discontinuation, and CML-AP/BC cohort, respectively, with mean costs of $5892 per day. Mean hematopoietic stem cell transplantation cost was $352 333; mean 3-month terminal care cost was $107 013. Discussion: Cost of CML care is substantial among patients with CML reaching third-line, fourth or later lines, or progressing to AP/BC, suggesting that the disease is associated with a significant economic and clinical burden. From third-line to fourth or later lines, HRU was observed to increase, and the incidence of inpatient days was particularly high for those who progressed to AP/BC. Conclusion: In this study, patients with CML cycling through TKIs in later lines of therapy or progressing to AP/BC experienced substantial HRU and costs, suggesting unmet treatment needs.

Chronic Myeloid Leukemia: Part I-Real-World Treatment Patterns, Healthcare Resource Utilization, and Associated Costs in Later Lines of Therapy in the United States.

Background: Despite advances in tyrosine kinase inhibitor (TKI) therapy for chronic myeloid leukemia in chronic phase (CML-CP), a sizeable proportion of patients with CML-CP remains refractory or intolerant to these agents. Objectives: Treatment patterns, healthcare resource utilization (HRU), and costs were evaluated among patients with CML who received third or later lines of therapy (3L+), a clinical population that has not been previously well-studied, with unmet treatment needs as TKI therapy has repeatedly failed. Methods: Adult patients with CML who received 3L+ were identified in the IBM® MarketScan® Databases (January 1, 2001-June 30, 2019) and the SEER-Medicare-linked database (January 1, 2006-December 31, 2016). Treatment patterns were observed from CML diagnosis. HRU and direct healthcare costs (payer's perspective, 2019 USD) were measured in a 3L+ setting. Results: Among 296 commercially insured patients with 3L+ (median age, 58.5 years; female, 49.7%), the median duration of first-line (1L), second-line (2L), and 3L therapy was 8.5, 4.2, and 8.3 months, respectively. The annual incidence rate during 3L+ was 3.4 for inpatient days, 30.8 for days with outpatient services, and 1.2 for emergency department visits. Mean per-patient-per-month (PPPM) total healthcare costs (pharmacy + medical costs) were $18 784 in 3L+, $15 206 in 3L, and $19 546 in 4L, with inpatient costs driving most of the difference between 3L and 4L (mean [3L] = $2528 PPPM, mean [4L] = $6847 PPPM). Among 53 Medicare-insured patients with 3L+ (median age, 72.0 years; female, 39.6%), the median duration of 1L, 2L, and 3L therapy was 9.7, 5.0, and 7.0 months, respectively. During 3L+, the annual incidence rate was 10.3 for inpatient days, 61.9 for days with outpatient services, and 1.5 for emergency department visits. Mean PPPM total healthcare costs were $14 311 in 3L+, $15 100 in 3L, and $16 062 in 4L. Discussion: Patients with CML receiving 3L+ rapidly cycled through multiple lines. Costs increased from 3L to 4L; in commercially insured patients, inpatient costs were responsible for most of the cost increase between 3L and 4L, underlying these patients' continued need for care. Conclusions: These findings support the need for better treatment options in patients with CML undergoing later lines of therapy.

Incidence and economic burden of respiratory syncytial virus among adults in the United States: A retrospective analysis using 2 insurance claims databases.

BACKGROUND: Respiratory syncytial virus (RSV) is a common, contagious, and seasonal pathogen causing 64 million acute respiratory infections annually in adults and children worldwide. High-risk adults, including older adults and those with cardiopulmonary conditions or weakened immune systems, are more likely to be infected. However, limited information exists on RSV incidence and associated costs among adults, including high-risk patients. OBJECTIVE: To evaluate the annual incidence of medically attended, International Classification of Diseases (ICD)-coded RSV among commercially insured adults and assess health care costs among adults with ICD-coded RSV in the United States. METHODS: Optum's deidentified Clinformatics Data Mart Database (January 01, 2007, to June 30, 2020) and IBM's MarketScan Databases (January 01, 2000, to July 31, 2020) were used. Medically attended, ICD-coded RSV incidence among adults was assessed from July 1 of a given year to June 30 of the next year and reported per 100,000 population. Trends in all-cause mean weekly costs pre-RSV and post-RSV diagnosis were reported. Results were reported overall and among patients aged 60-64 years, 65 years or older, 85 years or older, and 18-59 years at high risk of severe RSV (defined as having cardiopulmonary conditions or a weakened immune system). RESULTS: Annual incidence of medically attended, ICD-coded RSV in adults overall was 22.0-52.9 in Optum and 23.4-63.6 in MarketScan. Incidence rates were higher among patients aged 60-64 years (Optum: 25.2-66.1; MarketScan: 31.9-82.1), 65 years or older (Optum: 37.3-75.5; MarketScan: 54.1-97.3), 85 years or older (Optum: 92.4-140.6; MarketScan: 79.4-234.7), and 18-59 years at high risk of severe RSV (Optum: 41.3-135.9; MarketScan: 46.3-112.4). Mean weekly costs increased during the week before (Optum: $2,325; MarketScan: $2,080) and post-RSV diagnosis (Optum: $9,523; MarketScan: $3,551), compared with those in weeks 2-8 pre-RSV diagnosis (Optum: $1,350; MarketScan: $872). The increases in mean weekly costs during the week before and the week following RSV diagnosis were higher among patients aged 60-64 years (mean weekly costs in weeks 2-8 pre-RSV, week 1 pre-RSV, week 1 post-RSV; Optum: $1,623, $2,690, $10,823; MarketScan: $1,259, $2,992, $5,069), 65 years or older (Optum: $1,731, $3,067, $12,866; MarketScan: $1,517, $3,571, $5,268), 85 years or older (Optum: $1,563, $2,430, $18,134; MarketScan: $1,613, $4,113, $6,231), and 18-59 years at high risk of severe RSV (only for MarketScan: $1,237, $3,294, $5,531; costs were similar for Optum). CONCLUSIONS: Incidence of medically attended, ICD-coded RSV in adults was 22.0-63.6 per 100,000 population, a likely underestimation since RSV was not systematically tested and only RSV-coded cases were observed. Incremental costs associated with RSV were substantial. Incidence rates and costs were higher among patients aged 60 years or older and patients at high risk of severe RSV. DISCLOSURES: This study was sponsored by Janssen Scientific Affairs, LLC. The sponsor was involved in the study design, interpretation of results, manuscript preparation, and publication decisions. B. Brookhart and D. Anderson are employees of Janssen Scientific Affairs, LLC, and are stockholders of Johnson & Johnson. C. Rossi, B. Emond, J. Wang, P. Lefebvre, and M.-H. Lafeuille are employees of Analysis Group, Inc., a consulting company that has provided paid consulting services to Janssen Scientific Affairs, LLC, which funded the development and conduct of this study and manuscript. M. Mesa-Frias. and S. Drummond are former employees of Janssen Scientific Affairs, LLC. L. Lamerato is an employee of Henry Ford Health System and received research funding from Janssen Scientific Affairs, LLC.

Economic Burden of Commercially Insured Patients With Major Depressive Disorder and Acute Suicidal Ideation or Behavior in the United States.

Objective: Suicidal ideation or behavior (SIB) is a symptom of major depressive disorder (MDD). This study evaluated health care resource utilization (HRU) and costs of commercially insured adults who had diagnosed MDD with acute SIB (MDSI).Methods: Adults with MDSI (index date: first SIB claim) and controls without MDD or suicide-related claims (random index date) were identified using International Classification of Diseases, Clinical Modification, 10th Revision codes in the OptumHealth Care Solutions, Inc. database (October 2014 to March 2017). Adults with < 12 months of plan enrollment pre-index and/or selected psychiatric comorbidities were excluded. MDSI and control cohorts were matched 1:1 on demographics and comorbidities. HRU and costs were compared between matched cohorts during up to 1 and 12 months post-index (inclusive) using regressions adjusted for baseline costs.Results: Among patients with MDSI (n = 1,576, mean age = 34 years, 55.6% female), most index events occurred in emergency department (ED; 50.7%) and inpatient (45.2%) settings. The MDSI cohort, compared with the control cohort within 1 and 12 months post-index, respectively, had 157.7 and 28.0 times more inpatient admissions, 16.4 and 5.4 times more ED visits, and 4.9 and 3.2 times more outpatient visits (all P < .01). Incremental health care costs per patient per month in the MDSI compared with the control cohort within 1 and 12 months were $7,839 and $2,757, respectively (both P values < .01). Inpatient and ED costs constituted 70.6% and 16.5% of the total incremental costs, respectively, within the first month of follow-up.Conclusions: Among commercially insured adults, MDSI was associated with significant economic burden; inpatient and ED services drove incremental costs of the condition. Further assessment of treatment options for this vulnerable patient population is warranted.

Medication adherence among patients with advanced prostate cancer using oral therapies.

Aims: In light of the extended overall survival and improved quality of life provided by advanced prostate cancer (PC) oral therapies, this study aimed to describe treatment adherence to advanced PC oral therapies and evaluate associated patient characteristics and subsequent healthcare resource utilization (HRU). Patients & methods: Patients with advanced PC initiating apalutamide, enzalutamide or abiraterone acetate were identified from administrative data (October 1, 2014-September 30, 2019). Adherence and persistence at six months postinitiation were used to evaluate patient factors and HRU. Results: Aged ≥75 years, Black race, chemotherapy use and higher pharmacy paid amounts were associated with poor adherence/persistence, which translated to higher HRU. Conclusions: Strategies to increase adherence and persistence may improve patient outcomes and associated HRU.

Lay abstract This study included 27,262 patients with advanced prostate cancer who started taking one of three oral cancer medications (apalutamide, enzalutamide or abiraterone acetate) between October 2014 and September 2019. Patients who were black, aged 75 years or older, who had chemotherapy or who had higher prescription costs had the most difficulty following dosing guidelines or staying on treatment. Patients who did not follow dosing guidelines required more healthcare services. In light of the extended survival and improved quality of life that oral cancer medication for advanced prostate cancer provides, helping patients to take the correct medication dose, at the right time, and for the recommended length of time may improve their outcomes and reduce medical costs.

Prevalence of Pre-existing Conditions Relevant for Adverse Events and Potential Drug-Drug Interactions Associated with Augmentation Therapies Among Patients with Treatment-Resistant Depression.

INTRODUCTION: Pre-existing conditions relevant for adverse events (AE) and the potential for drug-drug interactions (DDIs) may limit safe pharmacotherapeutic augmentation options for patients with major depressive disorder (MDD). This concern may be heightened among patients with treatment-resistant depression (TRD), who often have comorbid medical disorders. METHODS: Adults with MDD and ≥ 1 antidepressant claim within the first observed major depressive episode were identified in the MarketScan® Databases. Those initiating a new regimen after two regimens at adequate dose and duration were considered to have TRD. The index date was defined at TRD onset or on a random antidepressant claim among patients with non-TRD MDD. Pre-existing conditions 12 months pre-index and potential DDIs 3 months pre/post-index associated with specific non-antidepressant augmentation therapies, including atypical antipsychotics (APs), buspirone, psychostimulants, anticonvulsants, thyroid hormone, and lithium were compared between 1:1 matched TRD and non-TRD MDD cohorts. RESULTS: Overall, 3414 patients with TRD and non-TRD MDD (mean age 39.7 years, 69% female) were matched. Relative to non-TRD MDD, patients with TRD had 33% higher likelihood of ≥ 1 pre-existing condition relevant for AEs listed in product labels of non-antidepressant augmentation therapies (p < 0.001). Patients with TRD vs. non-TRD MDD had 12.9 and 6.4 times higher likelihood of ≥ 2 and ≥ 3 DDIs, respectively, based on their medication regimen (all p < 0.001). CONCLUSION: Pre-existing conditions relevant for listed AEs and potential DDIs limit safe augmentation options in MDD, particularly among patients with TRD. Payer prior authorization policies requiring several augmentation therapy trials to access novel treatments may complicate clinical management of this population.

Prevalence, incidence and economic burden of schizophrenia among Medicaid beneficiaries.

OBJECTIVE: To estimate the prevalence, incidence and economic burden of schizophrenia among Medicaid beneficiaries. METHODS: Annual prevalence and incidence of schizophrenia among adult Medicaid beneficiaries were estimated during 2012-2017, by state and across six states (IA, KS, MS, MO, NJ and WI). The pooled estimate of the economic burden of schizophrenia was obtained during 1998Q1-2018Q1 across six states; adults with ≥2 diagnoses of schizophrenia were matched 1:1 to schizophrenia-free controls. The last observed schizophrenia diagnosis (schizophrenia cohort) or the last service claim (control cohort) with ≥12 months of continuous Medicaid enrollment before/after it defined the index date. Healthcare resource utilization (HRU) and costs ($2018 USD) incurred 12 months post-index were compared between cohorts. The economic burden of schizophrenia was also evaluated among young adults (18-34 years). RESULTS: Annual prevalence of schizophrenia ranged between 2.30% and 2.71% and annual incidence between 0.31% and 0.39% during 2012-2016. In 2017, only states with the highest incidence and prevalence rates (KS, MS, MO) had data, resulting in higher prevalence (4.01%) and incidence (0.52%). For the economic burden, adults with schizophrenia (N = 158,763) had higher HRU and incurred $14,087 higher healthcare costs versus controls (mean: $28,644 vs. $14,557), driven by $4677 higher long-term care costs (all p < .001). Young adults with schizophrenia incurred $14,945 higher healthcare costs versus controls, driven by $3473 higher inpatient costs (p < 0.001). CONCLUSIONS: Annual prevalence and incidence of schizophrenia varied by state but remained stable over time. Adults with schizophrenia incurred greater HRU and costs relative to adults without schizophrenia; the burden appeared comparable among young adults.

Economic burden in Medicaid beneficiaries with recently relapsed schizophrenia or with uncontrolled symptoms of schizophrenia not adherent to antipsychotics.

BACKGROUND: Patients with schizophrenia struggle with disease relapses and uncontrolled symptoms, which can either result in or be a result of non-adherence to antipsychotics (APs). The economic burden of such patients is hypothesized to be substantial. OBJECTIVE: To evaluate the economic burden of recently relapsed schizophrenia or of uncontrolled symptoms of schizophrenia with non-adherence to APs in Medicaid beneficiaries. METHODS: Adults with ≥ 2 schizophrenia diagnoses and controls without schizophrenia were identified in Medicaid data (1997Q1-2018Q1) from Iowa, Kansas, Mississippi, Missouri, New Jersey, and Wisconsin. The index date was the last observed schizophrenia diagnosis (cohort with schizophrenia) or the last service claim (control cohort) with ≥ 12 months of continuous Medicaid enrollment before and after it. Cohorts were matched 1:1 using propensity scores. After matching, two subgroups were identified among adults with schizophrenia: (1) patients with schizophrenia and a recent relapse (≥ 1 schizophrenia-related inpatient or emergency department claim ≤ 60 days before or on the index date) and (2) patients with uncontrolled symptoms of schizophrenia (≥ 2 schizophrenia-related hospitalizations) and non-adherence to APs (proportion of days covered < 80%) in the 12-month pre-index period. Previously matched controls were then subset to patients in each subgroup and their matched pairs without schizophrenia, thus maintaining the 1:1 matching ratio. Healthcare resource utilization (HRU) and costs ($2018 USD) in the 12-month post-index (observation) period were compared between matched pairs using adjusted regression models. RESULTS: Among 158,763 patients with schizophrenia, 18,771 (11.8%) had a recent relapse (mean age 50.5 years; 48.6% female, 51.4% male) and 13,697 (8.6%) were not adherent to APs and had uncontrolled symptoms of schizophrenia (mean age 47.1 years; 48.0% female, 52.0% male). During the observation period, patients with recently relapsed schizophrenia and those non-adherent to APs with uncontrolled symptoms of schizophrenia had significantly higher HRU relative to their controls without schizophrenia. Patients with recently relapsed schizophrenia had mean total healthcare costs $21,862 higher relative to their controls ($37,424 vs $15,563), driven by $8,486 higher mean long-term care costs (all P < 0.001). Patients non-adherent to APs with uncontrolled symptoms of schizophrenia had adjusted mean total healthcare costs $20,787 higher relative to their controls ($38,337 vs $15,241), driven by $8,019 higher adjusted mean inpatient costs (all P < 0.001). Additional total healthcare costs incurred by patients with recently relapsed schizophrenia and those of patients non-adherent to APs with uncontrolled symptoms of schizophrenia exceeded by 55.2% and 47.6%, respectively, incremental total healthcare costs incurred by all patients with schizophrenia ($14,087). CONCLUSIONS: Patients with recently relapsed schizophrenia and those non-adherent to AP therapy with uncontrolled symptoms of schizophrenia incurred higher HRU and costs relative to patients without schizophrenia. Additional healthcare costs of these subgroups of patients with schizophrenia appeared higher than in the overall population with schizophrenia. DISCLOSURES: This study was supported by Janssen Scientific Affairs, LLC. The sponsor was involved in the study design, data collection, data analysis, manuscript preparation, and publication decisions. Pilon, Lafeuille, Zhdanava, Côté-Sergent, Rossi, and Lefebvre are employees of Analysis Group, Inc., a consulting company that has provided paid consulting services to Janssen Scientific Affairs, LLC, which funded the development and conduct of this study and manuscript. Patel, Joshi, and Lin are employees of Janssen Scientific Affairs, LLC and stockholders of Johnson & Johnson. Part of the material in this manuscript has been presented at the US Psych Congress, October 3-6, 2019, San Diego, CA, and at the Virtual ISPOR Meeting, May 18-20, 2020.

Economic burden of treatment-resistant depression in privately insured US patients with co-occurring anxiety disorder and/or substance use disorder.

OBJECTIVE: To assess the burden of treatment-resistant depression (TRD) among privately insured patients with anxiety disorder and/or substance use disorders (SUD). METHODS: Adults <65 years old were identified in the Optum Health Care Solutions Inc. database (July 2009-March 2017). Among those with major depressive disorder (MDD) and antidepressant use, patients who initiated a third antidepressant (index date) after two regimens at adequate dose and duration were classified in the TRD cohort and patients without evidence of TRD were classified in the non-TRD MDD control cohort. The non-MDD control cohort comprised patients without MDD. In the non-TRD MDD and non-MDD cohorts, the index date was imputed to mimic the distribution of time in the TRD cohort from the first antidepressant to the index date or from the start of eligibility to the index date, respectively. Patients with <6 months of continuous insurance eligibility pre-/post-index, psychosis, schizophrenia, bipolar disorder and related conditions, dementia, and development disorders, and/or no baseline anxiety disorder and/or SUD were excluded. Patients with TRD were matched 1:1 to patients with non-TRD MDD and patients without MDD, based on exact matching factors (i.e. availability of work loss data) and propensity scores computed based on characteristics measured pre-index. Outcomes, including healthcare resource use (HRU) and costs, work productivity loss and related costs measured per patient per year ≤24 months post-index were compared between matched TRD, non-TRD MDD and non-MDD cohorts. RESULTS: A total of 3166 patients were identified in the TRD cohort and matched to non-TRD MDD and non-MDD cohorts. Among patients with TRD (mean age 39 years, 60.5% female), 87.3% had an anxiety disorder, 24.1% had SUD. The TRD cohort had higher HRU vs non-TRD MDD and non-MDD cohorts: 0.32 vs 0.20 and 0.14 inpatient admissions, 0.91 vs 0.73 and 0.58 emergency department visits, and 23.8 vs 16.8 and 11.6 outpatient visits, respectively (all p < .01). The TRD cohort had higher healthcare costs ($16,674) vs non-TRD MDD ($10,945) and non-MDD ($6493) cohorts (all p < .01). Among patients with work loss data (N = 310/cohort), patients with TRD had more work loss days (54) and higher work loss-related costs ($13,674) vs patients with non-TRD MDD (32 days; $7131) and without MDD (17 days; $4798; all p < .01). CONCLUSIONS: In patients with an anxiety disorder and/or SUD, TRD was associated with higher HRU, healthcare costs, work loss days and work loss-related costs.

Economic Burden of Treatment-Resistant Depression in Privately Insured U.S. Patients with Physical Conditions.

BACKGROUND: Little is known about the economic burden of treatment-resistant depression (TRD) in patients with physical conditions. OBJECTIVE: To assess health care resource utilization (HRU) and costs, work loss days, and related costs in patients with TRD and physical conditions versus patients with the same conditions and non-TRD major depressive disorder (MDD) or without MDD. METHODS: Adults aged < 65 years with MDD treated with antidepressants were identified in the OptumHealth Care Solutions database (July 2009-March 2017). Patients who received a diagnosis of MDD and initiated a third antidepressant regimen (index date) after 2 regimens of adequate dose and duration were defined as having TRD. Patients with non-TRD MDD and without MDD were assigned a random index date. Patients with < 6 months of continuous health plan eligibility pre- or post-index; a diagnosis of psychosis, schizophrenia, bipolar disorder/mania, dementia, and developmental disorders; and/or no baseline physical conditions (cardiovascular, metabolic, and respiratory disease or cancer) were excluded. Patients with TRD were matched 1:1 to each of the non-TRD MDD and non-MDD cohorts based on propensity scores. Per patient per year HRU, costs, and work loss outcomes were compared up to 24 months post-index date using negative binominal and ordinary least square regressions. RESULTS: A total of 2,317 patients with TRD (mean age, 47.6 years; 63.1%, female; mean follow-up, 19.7 months) had ≥ 1 co-occurring key physical condition (cardiovascular, 52.5%; metabolic, 48.2%; respiratory, 16.4%; and cancer, 9.5%). Relative to non-TRD MDD and non-MDD cohorts, respectively, patients with TRD had 46% and 235% more inpatient admissions, 28% and 128% more emergency department visits, and 53% and 155% more outpatient visits (all P < 0.05). Health care costs were $22,541 in the TRD cohort, $17,450 in the non-TRD MDD cohort, and $10,047 in the non-MDD cohort, yielding cost differences of $5,091 (vs. non-TRD MDD) and $12,494 (vs. non-MDD; all P < 0.01). In patients with work loss data available (n = 278/cohort), those with TRD had 2.0 and 2.9 times more work loss as well as $8,676 and $10,323 higher work loss costs relative to those with non-TRD MDD and without MDD, respectively (all P < 0.001). CONCLUSIONS: In patients with physical conditions, those with TRD had higher HRU and health care costs, work loss days, and associated costs compared with non-TRD MDD and non-MDD cohorts. DISCLOSURES: This study was sponsored by Janssen Scientific Affairs (JSA), which was involved in all aspects of the research, including the design of the study; the collection, analysis, and interpretation of data; writing of the report; and the decision to submit the report for publication. Joshi and Daly are employed by JSA. Zhdanava, Pilon, Rossi, Morrison, and Lefebvre are employees of Analysis Group, which received funding from JSA for conducting this study and has received consulting fees from Novartis Pharmaceuticals and GSK, unrelated to this study. Kuvadia is employed by Integrated Resources, which has provided research services to JSA unrelated to this study; Joshi reports past employment by and stock ownership in Johnson & Johnson; Nelson reports advisory board, data and safety monitoring board, and consulting fees from Assurex, Eisai, FSV-7, JSA, Lundbeck, Otsuka, and Sunovion and royalties from UpToDate, unrelated to this study. This work was presented at AMCP Nexus 2019, held in National Harbor, MD, from October 29 to November 1, 2019.

An assessment of weight change associated with the initiation of a protease or integrase strand transfer inhibitor in patients with human immunodeficiency virus.

OBJECTIVE: Evidence suggests that integrase strand transfer inhibitors (INSTIs) are associated with greater weight gain than other antiretrovirals. This real-world study compares weight/body mass index (BMI) change between insured US patients with human immunodeficiency virus (HIV-1) initiating a protease inhibitor (PI) or INSTI. METHODS: A retrospective longitudinal study was conducted using Decision Resources Group's Real World Data Repository (7/17/2017-6/1/2019). Adult patients with HIV-1 who initiated a new PI or INSTI on or after 7/17/2018 (index date) and had ≥12 months of continuous pre-index clinical activity were included. Baseline characteristics were balanced using inverse probability of treatment weighting. The proportion of patients with ≥5% weight/BMI increases and mean weight/BMI change from pre- to post-index were compared using odds ratios (ORs) and mean differences (MDs). RESULTS: 20,367 patients (9993 PI, 10,374 INSTI) were included (mean age = 50 years; ∼30% females). Pre- and post-index weight and BMI measurements were available in 429 and 430 PI patients, and 397 and 383 INSTI patients, respectively (mean time between index and post-index measurements: ∼7 months). The PI cohort was 39%/49% less likely to experience ≥5% weight/BMI increase than the INSTI cohort, respectively (OR [≥5% weight gain] = 0.61; p = .014; OR [≥5% BMI gain] = 0.51; p < .001). Mean weight/BMI gain was significantly lower in the PI cohort than the INSTI cohort (weight MD = -1.90 kg [-4.19 lbs], BMI MD = -0.61kg/m2; both p < .001). CONCLUSIONS: Relative to INSTI, patients initiating a new PI were less likely to experience ≥5% weight/BMI gain post-index. Additionally, mean weight/BMI gain was lower in the PI than in the INSTI cohort.

A Computable Phenotype Model for Classification of Men Who Have Sex With Men Within a Large Linked Database of Laboratory, Surveillance, and Administrative Healthcare Records.

Background: Most public health datasets do not include sexual orientation measures, thereby limiting the availability of data to monitor health disparities, and evaluate tailored interventions. We therefore developed, validated, and applied a novel computable phenotype model to classify men who have sex with men (MSM) using multiple health datasets from British Columbia, Canada, 1990-2015. Methods: Three case surveillance databases, a public health laboratory database, and five administrative health databases were linked and deidentified (BC Hepatitis Testers Cohort), resulting in a retrospective cohort of 727,091 adult men. Known MSM status from the three disease case surveillance databases was used to develop a multivariable model for classifying MSM in the full cohort. Models were selected using "elastic-net" (GLMNet package) in R, and a final model optimized area under the receiver operating characteristics curve. We compared characteristics of known MSM, classified MSM, and classified heterosexual men. Findings: History of gonorrhea and syphilis diagnoses, HIV tests in the past year, history of visit to an identified gay and bisexual men's clinic, and residence in MSM-dense neighborhoods were all positively associated with being MSM. The selected model had sensitivity of 72%, specificity of 94%. Excluding those with known MSM status, a total of 85,521 men (12% of cohort) were classified as MSM. Interpretation: Computable phenotyping is a promising approach for classification of sexual minorities and investigation of health outcomes in the absence of routinely available self-report data.

Hepatitis B screening and vaccination strategies for newly arrived adult Canadian immigrants and refugees: a cost-effectiveness analysis.

BACKGROUND: Immigrants have increased mortality from hepatocellular carcinoma as compared to the host populations, primarily due to undetected chronic hepatitis B virus (HBV) infection. Despite this, there are no systematic programs in most immigrant-receiving countries to screen for chronic HBV infection and immigrants are not routinely offered HBV vaccination outside of the universal childhood vaccination program. METHODS AND FINDINGS: A cost-effective analysis was performed to compare four HBV screening and vaccination strategies with no intervention in a hypothetical cohort of newly-arriving adult Canadian immigrants. The strategies considered were a) universal vaccination, b) screening for prior immunity and vaccination, c) chronic HBV screening and treatment, and d) combined screening for chronic HBV and prior immunity, treatment and vaccination. The analysis was performed from a societal perspective, using a Markov model. Seroprevalence estimates, annual transition probabilities, health-care costs (in Canadian dollars), and utilities were obtained from the published literature. Acute HBV infection, mortality from chronic HBV, quality-adjusted life years (QALYs), and costs were modeled over the lifetime of the cohort of immigrants. Costs and QALYs were discounted at a rate of 3% per year. Screening for chronic HBV infection, and offering treatment if indicated, was found to be the most cost-effective intervention and was estimated to cost $40,880 per additional QALY gained, relative to no intervention. This strategy was most cost-effective for immigrants < 55 years of age and would cost < $50,000 per additional QALY gained for immigrants from areas where HBV seroprevalence is ≥ 3%. Strategies that included HBV vaccination were either prohibitively expensive or dominated by the chronic HBV screening strategy. CONCLUSIONS: Screening for chronic HBV infection from regions where most Canadian immigrants originate, except for Latin America and the Middle East, was found to be reasonably cost-effective and has the potential to reduce HBV-associated morbidity and mortality.