Real-world utilization of lenvatinib and pembrolizumab combination therapy for the treatment of endometrial cancer in the USA.

Aim: Describe treatment and dosing patterns of lenvatinib and pembrolizumab combination therapy (lenva+pembro) among endometrial cancer (EC) patients in US clinical practice. Materials & methods: Retrospective cohort study among adults with EC initiating lenva+pembro in second line (2L) or third line and later (≥3L) between 17 September 2019 and 30 June 2021. Results: 110 patients initiated lenva+pembro in 2L and 135 patients in ≥3L. Majority of patients initiated lenva+pembro at label-recommended starting doses/interval. Less than half changed lenvatinib dose over time. At median follow-up of 7.3 and 8.7 months, median (95% CI) duration of therapy was 5.1 (4.7-6.1) and 5.8 (4.2-7.3) months for patients in 2L and ≥3L, respectively. Conclusion: Lenva+pembro was mostly initiated at label-recommended dose.

This study looked at details of lenvatinib and pembrolizumab combination treatment among patients with endometrial cancer (EC) in the USA. Specifically, these patients had received prior chemotherapy or hormone therapy before starting lenvatinib and pembrolizumab. Most patients started lenvatinib and pembrolizumab at the dose recommended by the product label and received the next pembrolizumab injection within the recommended timeframe. Over time, more than half of the patients did not change the dose of lenvatinib, and most patients had the same dose of pembrolizumab. On average, patients were treated with lenvatinib and pembrolizumab for 5­6 months. This study showed that in general, patients were taking lenvatinib and pembrolizumab for treatment of EC as recommended by product labels.

Real-world drug utilization and treatment patterns in patients with tenosynovial giant cell tumors in the USA.

Aim: Real-world treatment patterns in tenosynovial giant cell tumor (TGCT) patients remain unknown. Pexidartinib is the only US FDA-approved treatment for TGCT associated with severe morbidity or functional limitations and not amenable to improvement with surgery. Objective: To characterize drug utilization and treatment patterns in TGCT patients. Methods: In a retrospective observational study using IQVIA's linked prescription and medical claims databases (2018-2021), TGCT patients were stratified by their earliest systemic therapy claim (pexidartinib [N = 82] or non-FDA-approved systemic therapy [N = 263]). Results: TGCT patients treated with pexidartinib versus non-FDA-approved systemic therapies were predominantly female (61 vs 50.6%) and their median age was 47 and 54 years, respectively. Pexidartinib-treated patients had the highest 12-month probability of remaining on treatment (54%); 34.1% of pexidartinib users had dose reduction after their first claim. Conclusion: This study provides new insights into the unmet need, utilization and treatment patterns of systemic therapies for the treatment of TGCT patients.

Treatment patterns in patients with tenosynovial giant cell tumors in the USAThis database study is the first investigation of how drugs are used to treat patients with tenosynovial giant cell tumor (TGCT) in the real world. We researched adult TGCT patients from IQVIA's prescription and medical claims databases who started treatment with pexidartinib (N = 82) or other non-US FDA-approved systemic therapies (N = 263). The patients included in this analysis were mostly women (61.0 and 50.6%) and their median age was 47 and 54 years for pexidartinib and other non-FDA-approved systemic therapies, respectively. The patients treated with pexidartinib were most likely to remain on treatment (54.0%) at the end of the first year. Most patients (79.3%) started pexidartinib treatment at a total daily dose of 800 mg/day, as per the product label. Only 34.1% of patients had reduced medication dose during follow-up. Of note, this study found that TGCT patients were treated with other systemic therapies which remain unproven to be safe and effective in medical studies of TGCT. Given the unmet need, and with pexidartinib being the only approved systemic treatment in USA, there is an opportunity for the larger population of adult TGCT patients to benefit from its use. Further research is needed to identify barriers for access to pexidartinib and treatment of TGCT patients.

Real-world treatment patterns, healthcare resource utilization and costs among patients with peripheral T-cell lymphoma.

Objective: To evaluate treatment patterns, healthcare resource utilization (HRU) and costs among peripheral T-cell lymphoma (PTCL) patients in the USA. Methods: A retrospective cohort study, using the IQVIA PharMetrics® Plus claims database from 1 April 2011 to 30 November 2021, identified PTCL patients receiving systemic treatments. Three mutually exclusive subcohorts were created based on line of therapy (LOT): 1LOT, 2LOT and ≥3LOT. Common treatment regimens, median time on treatment, all-cause and PTCL-related HRU and costs were estimated. Results: Among 189 PTCL patients identified, 61.9% had 1LOT, 21.7% had 2LOT and 16.4% had ≥3LOT. The most common treatment regimens in the 1LOT were CHOP/CHOP-like, CHOEP/CHOEP-like and brentuximab vedotin; monotherapies were most common in the 2LOT and ≥3LOT. All-cause and PTCL-related hospitalizations and prescriptions PPPM increased with increasing LOT. Nearly 70% of total treatment costs were PTCL related. Conclusion: Higher utilization of combination therapies in the 1LOT and monotherapies in subsequent LOTs were observed, alongside high PTCL-related costs.

Peripheral T-cell lymphomas (PTCL) are a rare and fast-growing form of blood cancer. About 8000­12,000 people in the USA are diagnosed with PTCL every year. As it is a rare disease and has many types, and there is a limited understanding of the patients who have PTCL and the treatments they receive in the real world. The purpose of this study was to evaluate how these patients are treated, what are they treated with and what are the costs of these treatments in the USA. The data collected on these patients was divided into three groups based upon the number of lines of treatment/therapy (LOT) they received: 1LOT, 2LOT and ≥3LOT. This study researched different treatments and their duration in each line of therapy. Among 189 PTCL patients included in the study, the average age of patients was 55 years and 62% were male. Among these patients, 62% had 1LOT, 22% had 2LOT and 16% had ≥3LOT. The most common treatments in the 1LOT were traditional chemotherapy regimens followed by targeted therapies: CHOP (cyclophosphamide, doxorubicin, vincristine and prednisone) or CHOP-like, CHOEP (cyclophosphamide, doxorubicin, vincristine, etoposide and prednisone) or CHOEP-like, and brentuximab vedotin. Treatment regimens with only one drug were most common in the 2LOT and ≥3LOT. The total cost of PTCL treatment in the USA is very high; 70% of this cost is related to their treatment with various drugs. More research is needed to better understand the treatment and cost of this rare cancer.

Real-world costs of obesity-related complications over eight years: a US retrospective cohort study in 28,500 individuals.

BACKGROUND: Obesity-related complications (ORCs) are associated with high costs for healthcare systems. We assessed the relationship between comorbidity burden, represented by both number and type of 14 specific ORCs, and total healthcare costs over time in people with obesity in the USA. METHODS: Adults (≥ 18 years old) identified from linked electronic medical records and administrative claims databases, with a body mass index measurement of 30-< 70 kg/m2 between 1 January 2007 and 31 March 2012 (earliest measurement: index date), and with continuous enrolment for ≥ 1 year pre index (baseline year) and ≥ 8 years post index, were included. Individuals were grouped by type and number of ORCs during the pre-index baseline year. The primary outcome was annual total adjusted direct per-person healthcare costs. RESULTS: Of 28,583 included individuals, 12,686 had no ORCs, 7242 had one ORC, 4180 had two ORCs and 4475 had three or more ORCs in the baseline year. Annual adjusted direct healthcare costs increased with the number of ORCs and over the 8-year follow-up. Outpatient costs were the greatest contributor to baseline annual direct costs, irrespective of the number of ORCs. For specific ORCs, costs generally increased gradually over the follow-up; the largest percentage increases from year 1 to year 8 were observed for chronic kidney disease (+ 78.8%) and type 2 diabetes (+ 47.8%). CONCLUSIONS: In a US real-world setting, the number of ORCs appears to be a cost driver in people with obesity, from the time of initial obesity classification and for at least the following 8 years.

Healthcare resource utilization in patients with pulmonary hypertension associated with chronic obstructive pulmonary disease (PH-COPD): a real-world data analysis.

RATIONALE: There is a lack of real-world characterization of healthcare costs and associated cost drivers in patients with pulmonary hypertension secondary to chronic obstructive pulmonary disease (PH-COPD). OBJECTIVES: To examine (1) excess healthcare resource utilization (HCRU) and associated costs in patients with PH-COPD compared to COPD patients without PH; and (2) patient characteristics that are associated with higher healthcare costs in patients with PH-COPD. METHODS: This study analyzed data from the IQVIA PharMetrics® Plus database (OCT2014-MAY2020). Patients with PH-COPD were identified by a claims-based algorithm based on PH diagnosis (ICD-10-CM: I27.0, I27.2, I27.20, I27.21, I27.23) after COPD diagnosis. Patients aged ≥40 years and with data available ≥12 months before (baseline) and ≥6 months after (follow-up) the first observed PH diagnosis were included. Patients with other non-asthma chronic pulmonary diseases, PH associated with other causes, cancer, left-sided heart failure (HF), PH before the first observed COPD diagnosis, or right-sided/unspecified HF during baseline were excluded. Patients in the PH-COPD cohort were matched 1:1 to COPD patients without PH based on propensity scores derived from baseline patient characteristics. Annualized all-cause and COPD/PH-related (indicated by a primary diagnosis of COPD or PH) HCRU and costs during follow-up were compared between the matched cohorts. Baseline patient characteristics associated with higher total costs were examined in a generalized linear model in the PH-COPD cohort. RESULTS: A total of 2,224 patients with PH-COPD were identified and matched to COPD patients without PH. Patients with PH-COPD had higher all-cause HCRU and annual healthcare costs ($51,435 vs. $18,412, p<0.001) than matched COPD patients without PH. Among patients with PH-COPD, costs were primarily driven by hospitalizations (57%), while COPD/PH-related costs accounted for 13% of all-cause costs. Having a higher comorbidity burden and a prior history of COPD exacerbation were major risk factors for higher total all-cause costs among patients with PH-COPD. CONCLUSIONS: Treatment strategies focusing on preventing hospitalizations and managing comorbidities may help reduce the burden of PH-COPD.

Unemployment, homelessness, and other societal outcomes in patients with schizophrenia: a real-world retrospective cohort study of the United States Veterans Health Administration database : Societal burden of schizophrenia among US veterans.

BACKGROUND: The burden associated with schizophrenia is substantial. Impacts on the individual, healthcare system, and society may be particularly striking within the veteran population due to the presence of physical and mental health comorbidities. Disease burden is also influenced by a complex interplay between social determinants of health and health disparities. The objective of the current study was to compare non-healthcare societal outcomes between veterans with and without schizophrenia in the United States Veterans Health Administration (VHA). METHODS: A retrospective cohort study was conducted using the VHA database (01/2013-09/2019; study period). Veterans with schizophrenia (≥2 diagnoses of ICD-9295.xx, ICD-10 F20.x, F21, and/or F25.x during the study period) were identified; the index date was the earliest observed schizophrenia diagnosis. Veterans with schizophrenia were propensity score-matched to those without schizophrenia using baseline characteristics. A 12-month baseline and variable follow-up period were applied. The frequency of unemployment, divorce, incarceration, premature death, and homelessness were compared between the matched cohorts using standardized mean difference (SMD). Risk of unemployment and homelessness were estimated using logistic regression models. RESULTS: A total of 102,207 veterans remained in each cohort after matching (91% male; 61% White [per AMA]; median age, 59 years). Among veterans with schizophrenia, 42% had a substance use disorder and 30% had mental health-related comorbidities, compared with 25 and 15%, respectively, of veterans without schizophrenia. Veterans with schizophrenia were more likely to experience unemployment (69% vs. 41%; SMD: 0.81), divorce (35% vs. 28%; SMD: 0.67), homelessness (28% vs. 7%; SMD: 0.57), incarceration (0.4% vs. 0.1%; SMD: 0.47), and premature death (14% vs. 12%; SMD < 0.1) than veterans without schizophrenia. After further adjustments, the risk of unemployment and of homelessness were 5.4 and 4.5 times higher among veterans with versus without schizophrenia. Other predictors of unemployment included Black [per AMA] race and history of substance use disorder; for homelessness, younger age (18-34 years) and history of mental health-related comorbidities were additional predictors. CONCLUSION: A greater likelihood of adverse societal outcomes was observed among veterans with versus without schizophrenia. Given their elevated risk for unemployment and homelessness, veterans with schizophrenia should be a focus of targeted, multifactorial interventions to reduce disease burden.

Burden of influenza hospitalization among high-risk groups in the United States.

BACKGROUND: Seasonal influenza poses a substantial clinical and economic burden in the United States and vulnerable populations, including the elderly and those with comorbidities, are at elevated risk for influenza-related medical complications. METHODS: We conducted a retrospective cohort study using the IQVIA PharMetrics® Plus claims database in two stages. In Stage 1, we identified patients with evidence of medically-attended influenza during influenza seasons from October 1, 2014 to May 31, 2018 (latest available data for Stage 1) and used a multivariable logistic regression model to identify patient characteristics that predicted 30-day influenza-related hospitalization. The findings from Stage 1 informed high-risk subgroups of interest for Stage 2, where we selected cohorts of influenza patients during influenza seasons from October 1, 2014 to March 1, 2019 and used 1:1 propensity score matching to patients without influenza with similar high-risk characteristics to compare influenza-attributable rates of all-cause hospital and emergency department (ED) visits during follow-up (30-day and in the index influenza season). RESULTS: In Stage 1, more than 1.6 million influenza cases were identified, of which 18,509 (1.2%) had a hospitalization. Elderly age was associated with 9 times the odds of hospitalization (≥65 years vs. 5-17 years; OR = 9.4, 95% CI 8.8-10.1) and select comorbidities were associated with 2-3 times the odds of hospitalization. In Stage 2, elderly influenza patients with comorbidities had 3 to 7 times higher 30-day hospitalization rates compared to matched patients without influenza, including patients with congestive heart failure (41.0% vs.7.9%), chronic obstructive pulmonary disease (34.6% vs. 6.1%), coronary artery disease (22.8% vs. 3.8%), and late-stage chronic kidney disease (44.1% vs. 13.1%; all p < 0.05). CONCLUSIONS: The risk of influenza-related complications is elevated in the elderly, especially those with certain underlying comorbidities, leading to excess healthcare resource utilization. Continued efforts, beyond currently available vaccines, are needed to reduce influenza burden in high-risk populations.

Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012.

Importance: Given recent advances in screening mammography and adjuvant therapy (treatment), quantifying their separate and combined effects on US breast cancer mortality reductions by molecular subtype could guide future decisions to reduce disease burden. Objective: To evaluate the contributions associated with screening and treatment to breast cancer mortality reductions by molecular subtype based on estrogen-receptor (ER) and human epidermal growth factor receptor 2 (ERBB2, formerly HER2 or HER2/neu). Design, Setting, and Participants: Six Cancer Intervention and Surveillance Network (CISNET) models simulated US breast cancer mortality from 2000 to 2012 using national data on plain-film and digital mammography patterns and performance, dissemination and efficacy of ER/ERBB2-specific treatment, and competing mortality. Multiple US birth cohorts were simulated. Exposures: Screening mammography and treatment. Main Outcomes and Measures: The models compared age-adjusted, overall, and ER/ERBB2-specific breast cancer mortality rates from 2000 to 2012 for women aged 30 to 79 years relative to the estimated mortality rate in the absence of screening and treatment (baseline rate); mortality reductions were apportioned to screening and treatment. Results: In 2000, the estimated reduction in overall breast cancer mortality rate was 37% (model range, 27%-42%) relative to the estimated baseline rate in 2000 of 64 deaths (model range, 56-73) per 100 000 women: 44% (model range, 35%-60%) of this reduction was associated with screening and 56% (model range, 40%-65%) with treatment. In 2012, the estimated reduction in overall breast cancer mortality rate was 49% (model range, 39%-58%) relative to the estimated baseline rate in 2012 of 63 deaths (model range, 54-73) per 100 000 women: 37% (model range, 26%-51%) of this reduction was associated with screening and 63% (model range, 49%-74%) with treatment. Of the 63% associated with treatment, 31% (model range, 22%-37%) was associated with chemotherapy, 27% (model range, 18%-36%) with hormone therapy, and 4% (model range, 1%-6%) with trastuzumab. The estimated relative contributions associated with screening vs treatment varied by molecular subtype: for ER+/ERBB2-, 36% (model range, 24%-50%) vs 64% (model range, 50%-76%); for ER+/ERBB2+, 31% (model range, 23%-41%) vs 69% (model range, 59%-77%); for ER-/ERBB2+, 40% (model range, 34%-47%) vs 60% (model range, 53%-66%); and for ER-/ERBB2-, 48% (model range, 38%-57%) vs 52% (model range, 44%-62%). Conclusions and Relevance: In this simulation modeling study that projected trends in breast cancer mortality rates among US women, decreases in overall breast cancer mortality from 2000 to 2012 were associated with advances in screening and in adjuvant therapy, although the associations varied by breast cancer molecular subtype.

Tailoring Breast Cancer Screening Intervals by Breast Density and Risk for Women Aged 50 Years or Older: Collaborative Modeling of Screening Outcomes.

Background: Biennial screening is generally recommended for average-risk women aged 50 to 74 years, but tailored screening may provide greater benefits. Objective: To estimate outcomes for various screening intervals after age 50 years based on breast density and risk for breast cancer. Design: Collaborative simulation modeling using national incidence, breast density, and screening performance data. Setting: United States. Patients: Women aged 50 years or older with various combinations of breast density and relative risk (RR) of 1.0, 1.3, 2.0, or 4.0. Intervention: Annual, biennial, or triennial digital mammography screening from ages 50 to 74 years (vs. no screening) and ages 65 to 74 years (vs. biennial digital mammography from ages 50 to 64 years). Measurements: Lifetime breast cancer deaths, life expectancy and quality-adjusted life-years (QALYs), false-positive mammograms, benign biopsy results, overdiagnosis, cost-effectiveness, and ratio of false-positive results to breast cancer deaths averted. Results: Screening benefits and overdiagnosis increase with breast density and RR. False-positive mammograms and benign results on biopsy decrease with increasing risk. Among women with fatty breasts or scattered fibroglandular density and an RR of 1.0 or 1.3, breast cancer deaths averted were similar for triennial versus biennial screening for both age groups (50 to 74 years, median of 3.4 to 5.1 vs. 4.1 to 6.5 deaths averted; 65 to 74 years, median of 1.5 to 2.1 vs. 1.8 to 2.6 deaths averted). Breast cancer deaths averted increased with annual versus biennial screening for women aged 50 to 74 years at all levels of breast density and an RR of 4.0, and those aged 65 to 74 years with heterogeneously or extremely dense breasts and an RR of 4.0. However, harms were almost 2-fold higher. Triennial screening for the average-risk subgroup and annual screening for the highest-risk subgroup cost less than $100 000 per QALY gained. Limitation: Models did not consider women younger than 50 years, those with an RR less than 1, or other imaging methods. Conclusion: Average-risk women with low breast density undergoing triennial screening and higher-risk women with high breast density receiving annual screening will maintain a similar or better balance of benefits and harms than average-risk women receiving biennial screening. Primary Funding Source: National Cancer Institute.

Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies.

BACKGROUND: Controversy persists about optimal mammography screening strategies. OBJECTIVE: To evaluate screening outcomes, taking into account advances in mammography and treatment of breast cancer. DESIGN: Collaboration of 6 simulation models using national data on incidence, digital mammography performance, treatment effects, and other-cause mortality. SETTING: United States. PATIENTS: Average-risk U.S. female population and subgroups with varying risk, breast density, or comorbidity. INTERVENTION: Eight strategies differing by age at which screening starts (40, 45, or 50 years) and screening interval (annual, biennial, and hybrid [annual for women in their 40s and biennial thereafter]). All strategies assumed 100% adherence and stopped at age 74 years. MEASUREMENTS: Benefits (breast cancer-specific mortality reduction, breast cancer deaths averted, life-years, and quality-adjusted life-years); number of mammograms used; harms (false-positive results, benign biopsies, and overdiagnosis); and ratios of harms (or use) and benefits (efficiency) per 1000 screens. RESULTS: Biennial strategies were consistently the most efficient for average-risk women. Biennial screening from age 50 to 74 years avoided a median of 7 breast cancer deaths versus no screening; annual screening from age 40 to 74 years avoided an additional 3 deaths, but yielded 1988 more false-positive results and 11 more overdiagnoses per 1000 women screened. Annual screening from age 50 to 74 years was inefficient (similar benefits, but more harms than other strategies). For groups with a 2- to 4-fold increased risk, annual screening from age 40 years had similar harms and benefits as screening average-risk women biennially from 50 to 74 years. For groups with moderate or severe comorbidity, screening could stop at age 66 to 68 years. LIMITATION: Other imaging technologies, polygenic risk, and nonadherence were not considered. CONCLUSION: Biennial screening for breast cancer is efficient for average-risk populations. Decisions about starting ages and intervals will depend on population characteristics and the decision makers' weight given to the harms and benefits of screening. PRIMARY FUNDING SOURCE: National Institutes of Health.

Russia SimSmoke: the long-term effects of tobacco control policies on smoking prevalence and smoking-attributable deaths in Russia.

BACKGROUND: Russia has high smoking rates and weak tobacco control policies. A simulation model is used to examine the effect of tobacco control policies on past and future smoking prevalence and premature mortality in Russia. METHODS: The Russia model was developed using the SimSmoke tobacco control model previously developed for the USA and other nations. The model inputs population size, birth, death and smoking rates specific to Russia. It assesses, individually and in combination, the effect of seven types of policies consistent with the WHO Framework Convention on Tobacco Control (FCTC): taxes, smoke-free air, mass media campaign, advertising bans, warning labels, cessation treatment and youth access policies. Outcomes are smoking prevalence and the number of smoking-attributable deaths by age and gender from 2009 to 2055. RESULTS: Increasing cigarette taxes to 70% of retail price, stronger smoke-free air laws, a high-intensity media campaign and comprehensive treatment policies are each potent policies to reduce smoking prevalence and smoking-attributable premature deaths in Russia. With the stronger set of policies, the model estimates that, relative to the status quo trend, smoking prevalence can be reduced by as much as 30% by 2020, with a 50% reduction projected by 2055. This translates into 2 684 994 male and 1 011 985 female premature deaths averted from 2015-2055. CONCLUSIONS: SimSmoke results highlight the relative contribution of policies to reducing the tobacco health burden in Russia. Significant inroads to reducing smoking prevalence and premature mortality can be achieved through strengthening tobacco control policies in line with FCTC recommendations.

Sweden SimSmoke: the effect of tobacco control policies on smoking and snus prevalence and attributable deaths.

BACKGROUND: This study examines the effect of past tobacco control policies and projects the effect of future policies on smoking and snus use prevalence and associated premature mortality in Sweden. METHODS: The established SimSmoke model was adapted with population, smoking rates and tobacco control policy data from Sweden. SimSmoke evaluates the effect of taxes, smoke-free air, mass media, marketing bans, warning labels, cessation treatment and youth access policies on smoking and snus prevalence and the number of deaths attributable to smoking and snus use by gender from 2010 to 2040. RESULTS: Sweden SimSmoke estimates that significant inroads to reducing smoking and snus prevalence and premature mortality can be achieved through tax increases, especially when combined with other policies. Smoking prevalence can be decreased by as much as 26% in the first few years, reaching a 37% reduction within 30 years. Without effective tobacco control policies, almost 54 500 lives will be lost in Sweden due to tobacco use by the year 2040. CONCLUSION: Besides presenting the benefits of a comprehensive tobacco control strategy, the model identifies gaps in surveillance and evaluation that can help better focus tobacco control policy in Sweden.

Real world treatment patterns, healthcare resource use and costs in patients with advanced or metastatic non-small cell lung cancer by EGFR mutation type.

AIMS: This study described treatment patterns, healthcare resource utilization (HRU) and costs among advanced or metastatic non-small cell lung cancer (a/mNSCLC) patients with different epidermal growth factor receptor (EGFR) mutation types. MATERIALS AND METHODS: This retrospective study leveraged NeoGenomics NeoNucleus linked with IQVIA PharMetrics Plus between 01 January 2016 to 30 April 2021 (study period). Patients with evidence of a/mNSCLC between 01 July 2016 to 31 March 2021 (selection window) with EGFR test results indicating exon 19 deletion (exon19del), exon 21 L858R (L858R), or exon 20 insertion (exon20i) mutations were included; date of first observed evidence of a/mNSCLC was the index date. Treatment patterns, all-cause HRU and costs during ≥1 month follow-up were reported for each cohort (exon19del, L858R, and exon20i). RESULTS: A total of 106 exon19del, 75 L858R, and 13 exon20i patients met the study criteria. The prevalence of hospitalization was highest in the exon20i cohort (76.9%), followed by L858R (62.7%) and exon19del (55.7%) cohorts. A higher proportion of patients had evidence of hospice/end-of-life care in the exon20i (30.8%) and L858R (29.3%) cohorts relative to the exon19del cohort (22.6%). The exon20i cohort had higher median total healthcare costs per patient per month ($27,069) relative to exon19del ($17,482) and L858R ($17,763). EGFR tyrosine kinase inhibitors (TKI) were the most frequently observed treatment type for exon19del and L858R cohorts, while chemotherapy was the most observed treatment in exon20i cohort. LIMITATIONS: The sample size for the study cohorts was small, thus no statistical comparisons were conducted. CONCLUSIONS: This is one of the first real-world studies to describe HRU and costs among a/mNSCLC patients by specific EGFR mutation type. HRU and costs varied between EGFR mutation types and were highest among exon20i cohort, potentially reflecting higher disease burden and unmet need among patients with this mutation.

Patients with non-small cell lung cancer (NSCLC) in an advanced or metastatic stage (a/mNSCLC) where cancer has spread to other parts of the body have high chance of dying within five years. Treatment and management of a/mNSCLC also incurs significant healthcare resource utilization (HRU) and costs. Patients with a/mNSCLC may have their epidermal growth factor receptor (EGFR) gene mutated with different variations. Our study described what a/mNSCLC patients were treated with, their HRU and healthcare costs separately for the following three types of EGFR mutations: exon 19 deletion (exon19del), exon 21 L858R (L858R), or exon 20 insertion (exon20i). Our study found that patients with exon19del or L858R mutation were commonly treated with EGFR tyrosine kinase inhibitors (TKIs), while exon20i patients were mostly treated with chemotherapy due to lack of targeted treatment for exon20i during the time when the study was conducted. HRU and healthcare costs were highest for patients with exon20i, which shows that patients with exon20i face high burden and have a need for new treatment options.

Treatment patterns and hospitalizations following rejection, reversal, or payment of the initial once-monthly paliperidone palmitate long-acting injectable antipsychotic claim among patients with schizophrenia or schizoaffective disorder.

BACKGROUND: Once-monthly paliperidone palmitate (PP1M) is a long-acting injectable antipsychotic approved for the treatment of schizophrenia and schizoaffective disorder (SCA) in adults. OBJECTIVE: To assess treatment patterns and schizophrenia/SCA-related hospitalization following payer rejection, patient reversal, or payment of an initial PP1M claim. METHODS: This was a retrospective cohort study using the IQVIA Formulary Impact Analyzer database linked to the Medical Claims, Hospital Charge Detail Master, and Experian consumer databases. Patients with schizophrenia/SCA and ≥1 PP1M pharmacy claim from January 1, 2018, to February 28, 2022, were identified and stratified into 3 cohorts based on the transaction status of the initial PP1M claim (index date): rejected (payer not approved), reversed (payer approved, patient abandoned), and paid (payer approved, patient filled). Patient characteristics during the 12 months before the index date, subsequent treatment patterns, and schizophrenia/SCA-related hospitalization for patients with >6 months of follow-up were assessed by cohort. RESULTS: The rejected, reversed, and paid cohorts included 1,260, 1,046, and 1,686 patients, respectively. Across these cohorts, the mean ages ranged between 39.2 and 44.5 years; more than half were male (50.8%-51.6%) and White (50.6%-58.3%); 19.8%-24.6% of patients had a Quan-Charlson Comorbidity Index score of ≥2. Rates of prior atypical oral and long-acting injectable antipsychotic use ranged between 76.4%-80.3% and 7.8%-12.7%, respectively. Among patients with ≥6 months of follow-up, 52.2% in the rejected and 53.1% in the reversed cohorts had a subsequent paid PP1M claim during the study period; the median (quartile 1-quartile 3) time to the first paid PP1M claim was 22 (5-74) days for rejection and 11 (1-41) days for reversal. In the rejected and reversed cohorts, 10.2% (n = 111) and 9.8% (n = 90) of patients, respectively, did not receive any paid claim for an antipsychotic after the initial PP1M rejection/reversal. The prevalence of schizophrenia/SCA-related hospitalization during follow-up was similar between patients with a paid (7.4%) and rejected PP1M claim (7.0%; P = 0.689) but higher among patients with a reversed claim (10.8%; P = 0.004). After adjusting for confounders, patients in the reversed cohort were 39% more likely to have a schizophrenia/SCA-related hospitalization than those in the paid cohort (odds ratio = 1.39; 95% CI = 1.03-1.87). CONCLUSIONS: Payer rejection and patient reversal of initial PP1M claims is a form of primary nonadherence and may influence patient trajectory. Data from this study suggest that patient reversal of PP1M may lead to an increased risk of schizophrenia/SCA-related hospitalizations, potentially caused by missed or delayed treatment. Policy initiatives that remove barriers to primary adherence or fulfillment may help improve patients' clinical outcomes.

Excess healthcare resource utilization and costs for commercially insured patients with pulmonary arterial hypertension: A real-world data analysis.

This retrospective study was conducted to evaluate all-cause healthcare resource utilization (HCRU) and costs in commercially insured patients living with pulmonary arterial hypertension (PAH) and explore end-of-life (EOL)-related HCRU and costs. Data from the IQVIA PharMetrics® Plus database (October 2014 to May 2020) were analyzed to identify adults (≥18 years) with PAH (PAH cohort) and those without PH (non-PH cohort). Patients were required to have data for ≥12 months before (baseline) and ≥6 months after (follow-up) the first observed PH diagnosis (index date) for PAH cohort or pseudo index date for non-PH cohort. A PAH EOL cohort was similarly constructed using a broader data window (October 2014 to March 2022) and ≥1 month of follow-up. Annualized all-cause HCRU and costs during follow-up were compared between PAH and non-PH cohorts after 1:1 matching on propensity scores derived from patient characteristics. EOL-related HCRU and costs were explored within 30 days and 6 months before the death date and estimated by a claims-based algorithm in PAH EOL cohort. The annual all-cause total ($183,616 vs. $20,212) and pharmacy ($115,926 vs. $7862; both p < 0.001) costs were 8 and 14 times higher, respectively, in the PAH cohort versus matched non-PH cohort (N = 386 for each). In PAH EOL cohort (N = 28), the mean EOL-related costs were $48,846 and $167,524 per patient within 30 days and 6 months before the estimated death, respectively. Hospitalizations contributed 58.8%-70.8% of the EOL-related costs. The study findings indicate substantial HCRU and costs for PAH. While pharmacy costs were one of the major sources, hospitalization was the primary driver for EOL-related costs.

The Association of Retinal Disease with Vision Impairment and Functional Status in Medicare Patients.

Background: The association of neovascular age-related macular degeneration (nAMD), diabetic macular edema (DME), and retinal vein occlusion (RVO) with functional status in the general Medicare population are not well established. Objectives: This study examined patient-reported survey data linked with Medicare claims to describe the burden of these vision-threatening retinal diseases (VTRDs) among Medicare beneficiaries. Methods: Medicare Current Beneficiary Survey data linked with Medicare Fee-for-Service claims data from 2006 to 2018 were used in a nationally representative retrospective pooled cross-sectional population-based comparison study. Outcomes between community-dwelling beneficiaries with nAMD (n = 1228), DME (n = 101), or RVO (n = 251) were compared with community-dwelling beneficiaries without any VTRDs (n = 104 088), controlling for baseline demographic and clinical differences. Beneficiaries with a diagnosis of nAMD, DME, or RVO during the data year were included; those with other VTRDs were excluded. Outcomes included vision function and loss, overall functioning as assessed by difficulties with activities of daily living (ADLs) and instrumental ADLs (iADLs), anxiety/depression, falls, and fractures. Results: In patient cohorts with nAMD, DME, and RVO, approximately one-third (34.2%-38.3%) reported "a little trouble seeing" (vs 28.3% for controls), and 26%, 17%, and 9%, respectively, reported "a lot of trouble seeing/blindness" (vs 5% of controls). Difficulty walking and doing heavy housework were the most reported ADLs and iADLs, respectively. Compared with those without VTRDs, beneficiaries with nAMD had higher odds of diagnosed vision loss (odds ratio [OR], 5.39; 95% confidence interval, 4.06-7.16; P < .001) and difficulties with iADLs (odds ratio, 1.41; 95% confidence interval, 1.11-1.80; P = .005); no differences were observed for DME or RVO vs control. After adjusting for age, sex, race/ethnicity, poverty status, comorbidities, and other relevant covariates, nAMD, DME, and RVO were not significantly associated with anxiety/depression, falls, or fractures. Discussion: Patients with nAMD or DME were more likely to report severe visual impairment than those without VTRDs, although only those with nAMD were more likely to be diagnosed with vision loss. Conclusions: Patients with nAMD continue to experience more vision impairment and worse functional status compared with a similar population of Medicare beneficiaries despite availability of therapies like antivascular endothelial growth factor to treat retinal disease.

Which strategies reduce breast cancer mortality most? Collaborative modeling of optimal screening, treatment, and obesity prevention.

BACKGROUND: US breast cancer mortality is declining, but thousands of women still die each year. METHODS: Two established simulation models examine 6 strategies that include increased screening and/or treatment or elimination of obesity versus continuation of current patterns. The models use common national data on incidence and obesity prevalence, competing causes of death, mammography characteristics, treatment effects, and survival/cure. Parameters are modified based on obesity (defined as BMI ≥ 30 kg/m(2) ). Outcomes are presented for the year 2025 among women aged 25+ and include numbers of cases, deaths, mammograms and false-positives; age-adjusted incidence and mortality; breast cancer mortality reduction and deaths averted; and probability of dying of breast cancer. RESULTS: If current patterns continue, the models project that there would be about 50,100-57,400 (range across models) annual breast cancer deaths in 2025. If 90% of women were screened annually from ages 40 to 54 and biennially from ages 55 to 99 (or death), then 5100-6100 fewer deaths would occur versus current patterns, but incidence, mammograms, and false-positives would increase. If all women received the indicated systemic treatment (with no screening change), then 11,400-14,500 more deaths would be averted versus current patterns, but increased toxicity could occur. If 100% received screening plus indicated therapy, there would be 18,100-20,400 fewer deaths. Eliminating obesity yields 3300-5700 fewer breast cancer deaths versus continuation of current obesity levels. CONCLUSIONS: Maximal reductions in breast cancer deaths could be achieved through optimizing treatment use, followed by increasing screening use and obesity prevention.

Tipping the balance of benefits and harms to favor screening mammography starting at age 40 years: a comparative modeling study of risk.

BACKGROUND: Timing of initiation of screening for breast cancer is controversial in the United States. OBJECTIVE: To determine the threshold relative risk (RR) at which the harm-benefit ratio of screening women aged 40 to 49 years equals that of biennial screening for women aged 50 to 74 years. DESIGN: Comparative modeling study. DATA SOURCES: Surveillance, Epidemiology, and End Results program, Breast Cancer Surveillance Consortium, and medical literature. TARGET POPULATION: A contemporary cohort of women eligible for routine screening. TIME HORIZON: Lifetime. PERSPECTIVE: Societal. INTERVENTION: Mammography screening starting at age 40 versus 50 years with different screening methods (film, digital) and screening intervals (annual, biennial). BENEFITS: life-years gained, breast cancer deaths averted; harms: false-positive mammography findings; harm-benefit ratios: false-positive findings/life-years gained, false-positive findings/deaths averted. RESULTS OF BASE-CASE ANALYSIS: Screening average-risk women aged 50 to 74 years biennially yields the same false-positive findings/life-years gained as biennial screening with digital mammography starting at age 40 years for women with a 2-fold increased risk above average (median threshold RR, 1.9 [range across models, 1.5 to 4.4]). The threshold RRs are higher for annual screening with digital mammography (median, 4.3 [range, 3.3 to 10]) and when false-positive findings/deaths averted is used as an outcome measure instead of false-positive findings/life-years gained. The harm-benefit ratio for film mammography is more favorable than for digital mammography because film has a lower false-positive rate. RESULTS OF SENSITIVITY ANALYSIS: The threshold RRs changed slightly when a more comprehensive measure of harm was used and were relatively insensitive to lower adherence assumptions. LIMITATION: Risk was assumed to influence onset of disease without influencing screening performance. CONCLUSION: Women aged 40 to 49 years with a 2-fold increased risk have similar harm-benefit ratios for biennial screening mammography as average-risk women aged 50 to 74 years. Threshold RRs required for favorable harm-benefit ratios vary by screening method, interval, and outcome measure. PRIMARY FUNDING SOURCE: National Cancer Institute.

Association between endometriosis and risk of histological subtypes of ovarian cancer: a pooled analysis of case-control studies.

BACKGROUND: Endometriosis is a risk factor for epithelial ovarian cancer; however, whether this risk extends to all invasive histological subtypes or borderline tumours is not clear. We undertook an international collaborative study to assess the association between endometriosis and histological subtypes of ovarian cancer. METHODS: Data from 13 ovarian cancer case-control studies, which were part of the Ovarian Cancer Association Consortium, were pooled and logistic regression analyses were undertaken to assess the association between self-reported endometriosis and risk of ovarian cancer. Analyses of invasive cases were done with respect to histological subtypes, grade, and stage, and analyses of borderline tumours by histological subtype. Age, ethnic origin, study site, parity, and duration of oral contraceptive use were included in all analytical models. FINDINGS: 13 226 controls and 7911 women with invasive ovarian cancer were included in this analysis. 818 and 738, respectively, reported a history of endometriosis. 1907 women with borderline ovarian cancer were also included in the analysis, and 168 of these reported a history of endometriosis. Self-reported endometriosis was associated with a significantly increased risk of clear-cell (136 [20·2%] of 674 cases vs 818 [6·2%] of 13 226 controls, odds ratio 3·05, 95% CI 2·43-3·84, p<0·0001), low-grade serous (31 [9·2%] of 336 cases, 2·11, 1·39-3·20, p<0·0001), and endometrioid invasive ovarian cancers (169 [13·9%] of 1220 cases, 2·04, 1·67-2·48, p<0·0001). No association was noted between endometriosis and risk of mucinous (31 [6·0%] of 516 cases, 1·02, 0·69-1·50, p=0·93) or high-grade serous invasive ovarian cancer (261 [7·1%] of 3659 cases, 1·13, 0·97-1·32, p=0·13), or borderline tumours of either subtype (serous 103 [9·0%] of 1140 cases, 1·20, 0·95-1·52, p=0·12, and mucinous 65 [8·5%] of 767 cases, 1·12, 0·84-1·48, p=0·45). INTERPRETATION: Clinicians should be aware of the increased risk of specific subtypes of ovarian cancer in women with endometriosis. Future efforts should focus on understanding the mechanisms that might lead to malignant transformation of endometriosis so as to help identify subsets of women at increased risk of ovarian cancer. FUNDING: Ovarian Cancer Research Fund, National Institutes of Health, California Cancer Research Program, California Department of Health Services, Lon V Smith Foundation, European Community's Seventh Framework Programme, German Federal Ministry of Education and Research of Germany, Programme of Clinical Biomedical Research, German Cancer Research Centre, Eve Appeal, Oak Foundation, UK National Institute of Health Research, National Health and Medical Research Council of Australia, US Army Medical Research and Materiel Command, Cancer Council Tasmania, Cancer Foundation of Western Australia, Mermaid 1, Danish Cancer Society, and Roswell Park Alliance Foundation.

Real-world treatment patterns of metastatic non-small cell lung cancer patients receiving epidermal growth factor receptor tyrosine kinase inhibitors.

BACKGROUND: Several epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKI) have been approved for first-line (1L) treatment of EGFR-mutated metastatic non-small cell lung cancer (mNSCLC) in the United States (US). Real-world analyses of 1L treatment patterns with EGFR TKIs, including the third-generation EGFR TKI osimertinib which was most recently approved in 2018, are still sparse. METHODS: This retrospective observational study used data from IQVIA's prescription claims (LRx) and medical claims (Dx) databases. mNSCLC patients newly treated with any EGFR TKI in the 1L setting were identified from January 1, 2015 to April 30, 2020; the first date of EGFR TKI (third-generation osimertinib, first-generation [erlotinib, gefitinib], or second-generation [afatinib, dacomitinib]) was the index date. Treatment patterns were reported in the cohorts stratified by 1L EGFR TKI. RESULTS: A total of 2505 patients were included in the study (982 osimertinib, 1060 first-generation, and 463 second-generation EGFR TKI). Beginning in 2018, osimertinib became the most common 1L EGFR TKI (66.7%) and in early 2020, it accounted for 90.6% of 1L EGFR TKIs. Nearly all patients (>97%) were treated with 1L EGFR TKI monotherapy. Patients with 1L osimertinib had longer treatment duration compared to patients with 1L first- or second-generation EGFR TKI (median months: 17.8 vs. 8.7 vs. 10.5, respectively; log-rank test for comparisons with osimertinib p < 0.0001) over median follow-up times of 9.8, 20.5, and 19.3 months. 32.5% and 36.3% of the first- and second-generation EGFR TKI cohorts, respectively, had evidence of 2L treatment. Osimertinib monotherapy accounted for the majority of 2L treatments (58.3%/60.7%) and 11.3%/8.9% had 2L chemotherapy or immuno-oncology therapy following 1L first- or second-generation EGFR TKI. CONCLUSION: In this real-world study of a US claims database, 1L treatment duration was longer with osimertinib compared with other EGFR TKIs. Future studies with longer follow-up are recommended to understand treatment patterns after progression on EGFR TKIs.