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.

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.

This 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 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.

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 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.

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.

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.

Weight gain following switch to integrase inhibitors from non-nucleoside reverse transcriptase or protease inhibitors in people living with HIV in the United States: analyses of electronic medical records and prescription claims.

OBJECTIVES: Real-world data evaluating weight changes in people living with HIV (PLWH) following switch to integrase strand transfer inhibitor (INSTI), specifically bictegravir (BIC), are limited. This retrospective cohort study analyzed weight changes upon switching to INSTI from non-nucleoside reverse transcriptase inhibitor (NNRTI) or protease inhibitor (PI) in treatment-experienced PLWH. METHODS: Adult PLWH (≥18 years) treated with NNRTI or PI (non-switch cohorts) and those switching to INSTI (switch cohorts) between January 1, 2014 and August 31, 2019 were identified using IQVIA's Ambulatory Electronic Medical Records linked to a prescription drug claims database. The associations of switching to INSTI and individual INSTI agents with having ≥5% weight gain at 12 months of follow-up were evaluated, adjusting for demographics and baseline clinical characteristics. RESULTS: At 12 months of follow-up, PLWH in the NNRTI-INSTI switch cohort (n = 508) were more likely to have ≥5% weight gain over 12 months compared to the NNRTI non-switch cohort (n = 614; odds ratio, OR [95% CI], 1.7 [1.2-2.4]). Switching from NNRTI to dolutegravir (DTG: OR [95% CI], 2.1 [1.4-3.0]) or BIC (2.0 [1.0-4.2]) resulted in significantly higher odds of ≥5% weight gain. PI-INSTI switch (n = 295) and non-switch (n = 228) cohorts had similar proportions of PLWH with ≥5% (21.1-23.4%) or ≥10% (7.8-7.9%) weight gain, and no significant association was found between switching from PI to INSTI and weight gain. CONCLUSION: Weight gain and related metabolic health of PLWH switching from NNRTI to DTG or BIC should be closely monitored by clinicians. Further research is needed to assess other metabolic outcomes in PLWH remaining on PI and those who switch from PI to INSTI.

Weight gain after antiretroviral therapy initiation in people living with HIV in the United States: analyses of electronic medical records and prescription claims.

BACKGROUND: Treatment guidelines recommend integrase strand transfer inhibitor (INSTI)-based antiretroviral therapy (ART) regimens for treatment naïve people living with HIV (PLWH) in the United States (US). This retrospective database study compared weight changes following initiation of INSTI-, non-nucleoside reverse transcriptase inhibitor (NNRTI)-, or protease inhibitor (PI)-based ART in treatment-naïve PLWH. METHODS: Adult (≥18 years) PLWH initiated on INSTI, NNRTI, or PI plus ≥2 nucleoside reverse transcriptase inhibitors (NRTI) between 1 January 2014 to 31 August 2019 were identified in IQVIA's Ambulatory Electronic Medical Records (AEMR) linked to prescription drug claims (LRx). Weight changes over up to 36 months (M) of follow-up were compared among PLWH on INSTI- vs. NNRTI- and PI-based ART separately using non-linear mixed effect models, adjusting for demographics and baseline clinical characteristics. RESULTS: The INSTI, NNRTI, and PI cohorts included 931, 245, and 124 PLWH, respectively. For all three cohorts, the majority were male (78.2-81.2%) and overweight/obese (53.6-61.6%) at baseline; 40.8-45.2% of the groups were African American. The INSTI vs. NNRTI/PI cohorts were younger (median age: 38 years vs. 44 years/46 years), had lower weight at ART initiation (mean: 80.9 kg vs. 85.7 kg/85.0 kg), and had higher TAF usage during follow-up (55.6% vs. 24.1%/25.8%; all p < .05). Multivariate models showed higher weight gain among PLWH in INSTI vs. NNRTI and PI cohorts during treated follow-up (estimated weight gain after 36 M: 7.1 kg vs. 3.8 kg and 3.8 kg, both p < .05). CONCLUSION: Study findings highlight the need to monitor an increase in weight and potential metabolic complications among PLWH starting ART with INSTI.

Characteristics of initiators of budesonide/glycopyrrolate/formoterol for treatment of chronic obstructive pulmonary disease (COPD) in the United States: the AURA study.

INTRODUCTION: A twice-daily single inhaler triple therapy consisting of budesonide/glycopyrrolate/formoterol fumarate (BGF) was approved by the US Food and Drug Administration (FDA) in July 2020 as a maintenance treatment for patients with chronic obstructive pulmonary disease (COPD). The objective of this AURA study is to describe patient characteristics, exacerbation and treatment history, and healthcare resource utilization (HCRU) before BGF initiation to better inform treatment decisions for prescribers. METHODS: This retrospective cohort study leveraged data of all payer types from IQVIA's Longitudinal Prescription Data (LRx) linked to Medical Data (Dx). Patients with COPD who had ⩾1 LRx claim for BGF between 1 October 2020 and 30 September 2021 were included. The date of first BGF claim was the index date. Patient demographic and clinical characteristics, history of COPD exacerbation or related event, treatment history, and HCRU were assessed during the 12 months before index (baseline). RESULTS: We identified 30,339 patients with COPD initiating BGF (mean age: 68.2 years; 57.1% female; 67.6% Medicare). Unspecified COPD (J44.9; 74.0%) was the most commonly coded COPD phenotype. The most prevalent respiratory conditions/symptoms were dyspnea (50.8%), lower respiratory tract infection (25.3%), and sleep apnea (19.0%). Uncomplicated hypertension (58.8%), dyslipidemia (43.9%), cardiovascular disease (41.4%), and heart failure (19.9%) were the most prevalent nonrespiratory conditions. During the 12-month baseline, 57.9% of patients had evidence of a COPD exacerbation or related event, and 14.9% had ⩾1 COPD-related emergency department (ED) visit; 21.0% of patients had evidence of prior triple therapy use, while 54.3% had ⩾1 oral corticosteroid (OCS) fill. Among OCS users, 29.9% had cumulative exposures >1000 mg [median [Q1-Q3] exposure: 520 (260-1183) mg]. CONCLUSION: This real-world data analysis indicates that BGF is being initiated in patients with COPD experiencing symptoms and exacerbations despite current therapy, and among patients who have various chronic comorbidities, most often cardiopulmonary-related.

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.

Unemployment, Homelessness, and Other Societal Outcomes Among US Veterans With Schizophrenia Relapse: A Retrospective Cohort Study.

Objective: To evaluate societal outcomes including unemployment and homelessness among US veterans with schizophrenia with a history of relapse.Methods: A retrospective cohort study was conducted using US Veterans Health Administration (VHA) data from January 1, 2013, to September 30, 2019. Veterans with ≥ 2 diagnoses of schizophrenia, schizotypal disorder, and/or schizoaffective disorders (ICD-9-CM 295.xx, ICD-10-CM F20.x, F21, or F25.x) during the study period on different days were identified. The index date was the earliest observed diagnosis. Two cohorts were created and propensity score matched: (1) the relapse cohort of veterans with ≥ 1 prior relapse, defined as hospitalization or emergency department visit associated with a schizophrenia diagnosis during the 12-month preindex period, and (2) the nonrelapse cohort of veterans with no evidence of relapse during the preindex period. The frequencies of unemployment, divorce, homelessness, incarceration, and premature death were compared between matched cohorts using standardized mean difference (SMD ≥ 0.1 indicating imbalance).Results: Each cohort included 16,862 veterans (92.0% male, 57.0% White, median age of 58-59 years). In the relapse cohort, 67.4% and 42.0% of veterans had a history of substance use disorder and non-schizophrenia mental health disorder, respectively, compared to 43.5% and 23.8% in the matched nonrelapse cohort (both SMD > 0.1). The relapse cohort had a higher frequency of unemployment (75.4% vs 71.4%), divorce (35.6% vs 33.7%), homelessness (38.9% vs 23.7%), incarceration (0.6% vs 0.4%), and premature death (23.3% vs 16.9%) compared to the nonrelapse cohort (all SMD > 0.1).Conclusions: Schizophrenia relapse is associated with increased adverse societal outcomes in the VHA population.

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.

Outpatient Antibiotic and Antiviral Utilization Patterns in Patients Tested for Respiratory Pathogens in the United States: A Real-World Database Study.

This retrospective observational study evaluated outpatient treatment patterns among patients with molecular-based viral diagnostic testing for suspected upper respiratory tract infections in the United States. Patients with a respiratory viral test were identified from 1 August 2016 to 1 July 2019 in a large national reference laboratory database linked to IQVIA's prescription and medical claims databases. Antibiotic and influenza antiviral treatment patterns were reported up to 7 days post-test result. Predictors of antibiotic utilization were assessed using multivariable logistic regression. Among 9561 patients included in the study, 24.6% had evidence of ≥1 filled antibiotic prescription. Antibiotic utilization was higher in patients who tested negative for all viral targets (odds ratio [OR], 1.33; 95% confidence interval [CI], 1.17-1.50) and patients positive for non-influenza viruses (OR, 1.28; 95% CI, 1.09-1.51) compared with those influenza-positive only. Age ≥ 50 years and location outside of the northeast United States also predicted antibiotic utilization. Influenza antivirals were more common in influenza-positive patients compared with patients with other test results (32.5% vs. 3.6-9.0%). Thus, in this real-world study, antibiotic utilization was elevated in patients positive for non-influenza viruses, although antibiotics would generally not be indicated. Further research on pairing diagnostic tools with outpatient antibiotic stewardship programs is needed.

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.

Characteristics and current standard of care among veterans with major depressive disorder in the United States: A real-world data analysis.

BACKGROUND: This study examined MDD treatment regimens received during the first observed and treated major depressive episode (MDE) among US veterans. METHODS: This retrospective study, conducted using the Veterans Health Administration (VHA) database, supplemented with Medicare Part A/B/D data, included adults with ≥1 MDD diagnosis (index date) between 10/1/2015-2/28/2017 and ≥1 line of therapy (LOT) within the first observed complete MDE. Patient baseline (6-month pre-index) characteristics and up to six LOTs received during the first observed and treated MDE were assessed. RESULTS: Of 40,240 veterans with MDD identified (mean age: 50.9 years, 83.9% male, 63.4% White, 88.6% non-Hispanic), hypertension (27.5%), hyperlipidemia (20.8%), and post-traumatic stress disorder (17.5%) were the most common baseline comorbidities. During the first observed and treated MDE, patients received a mean of 1.6 ± 1.0 LOTs, with 14.6% of patients receiving ≥3 LOTs. SSRI-monotherapy was the most commonly observed regimen in the first six LOTs, followed by SNRI-monotherapy in LOT 1 and antidepressants augmented by anticonvulsants in the remaining five LOTs. The antidepressant class of the previous LOT was commonly used in the subsequent LOT. SSRI-SSRI-SSRI was the most common LOT1-to-LOT3 sequencing pattern among patients receiving ≥3 LOTs. LIMITATIONS: The study findings are limited to data in the VHA database and may not be generalizable to the non-veteran US population. CONCLUSIONS: During the first observed and treated MDE, SSRI-monotherapy was the most common therapy in the first six LOTs. Cycling within SSRI class was the leading sequencing pattern of the first three LOTs among veterans who received ≥3 LOTs.

Characteristics of New Biologic Users Among the Moderate-to-Severe Psoriasis Population-Retrospective Cohort Study Leveraging the Modernizing Medicine Data Services Database.

INTRODUCTION: Biologics have expanded the treatment options in the management of patients with moderate-to-severe psoriasis. The objective of this study was to describe patient characteristics and previous treatments in psoriasis patients newly treated with guselkumab, secukinumab, or ixekizumab. METHODS: This retrospective study included patients ≥ 18 years old with psoriasis in the USA who were newly treated with guselkumab, secukinumab, or ixekizumab between 1 July 2017 and 31 March 2019 in the Modernizing Medicine Data Services database (MMDS). Patients were indexed on their first prescription or injection record of guselkumab, secukinumab, or ixekizumab, and three mutually exclusive cohorts were created. Patients were required to have evidence of moderate-to-severe psoriasis, defined as Physician Global Assessment (PGA) score of 3 or 4, or body surface area (BSA) ≥ 10% on index date or within 12 months before index. Baseline characteristics, including treatment history, were reported for each cohort. RESULTS: The study population included 461 guselkumab, 619 secukinumab, and 375 ixekizumab patients. The median age across cohorts was 51-52 years. Median baseline BSA ranged from 15% to 20%; 16.1-29.3% of patients had a PGA of 4 and over half of patients were obese prior to index. Approximately 40% of patients had comorbid cardiovascular disease and 20.8-24.2% of patients had a psychiatric disorder. About half of patients in each cohort had prior biologic use, of which adalimumab was most common (28.2-34.9%) across the cohorts. CONCLUSION: This real-world study describes the characteristics of patients with moderate-to-severe psoriasis receiving biologic treatments.

Real-world HIV diagnostic testing patterns in the United States.

OBJECTIVES: To understand real-world implementation of the updated CDC HIV diagnostic testing algorithm. STUDY DESIGN: Retrospective database analysis. METHODS: Using data from Quest Diagnostics, we identified patients with at least 1 HIV-1/HIV-2 antibody differentiation test (BioRad Geenius HIV 1/2 Supplemental Assay [Geenius]) between January 1 and December 31, 2017. Study measures included Health Insurance Portability and Accountability Act-compliant patient demographics, test results, test frequency, and sequence relative to the CDC HIV diagnostic algorithm, including HIV-1 RNA Qualitative Assay (Aptima) or HIV-2 nucleic acid test (NAT). RESULTS: A total of 26,319 patients were identified (mean [SD] age, 40.7 [14.3] years; 66.4% male), with 28,954 Geenius tests, 7234 Aptima tests, and 298 HIV-2 NATs. In 26.4% of test sequences, the Geenius results were indeterminate or negative and required subsequent confirmatory NATs. A total of 8.5% of patients had more than 1 Geenius test in 2017, and 11.2% of the time, results of the first and second tests differed. A total of 74.2% of test sequences matched the CDC-recommended algorithm. CONCLUSIONS: Our study findings suggest that the CDC HIV diagnostic algorithm is complex and may pose suboptimal testing efficiency. Opportunities to improve diagnostic efficiency by reducing indeterminate results and repeat tests are warranted.

Disease and economic burden increase with systemic lupus erythematosus severity 1 year before and after diagnosis: a real-world cohort study, United States, 2004-2015.

OBJECTIVE: To assess the economic burden of patients with SLE by disease severity in the USA 1 year before and after diagnosis. METHODS: Patients aged ≥18 years with a first SLE diagnosis (index date) between January 2005 and December 2014 were identified from administrative commercial claims data linked to electronic medical records (EMRs). Disease severity during the year after diagnosis was classified as mild, moderate, or severe using claims-based algorithms and EMR data. Healthcare resource utilisation (HCRU) and all-cause healthcare costs (2017 US$) were reported for 1 year pre-diagnosis and post-diagnosis. Generalised linear modelling examined all-cause costs over 1 year post-index, adjusting for baseline demographics, clinical characteristics, Charlson Comorbidity Index and 1 year pre-diagnosis costs. RESULTS: Among 2227 patients, 26.3% had mild, 51.0% moderate and 22.7% severe SLE. Mean per-patient costs were higher for patients with moderate and severe SLE compared with mild SLE during the year before diagnosis: mild US$12 373, moderate $22 559 and severe US$39 261 (p<0.0001); and 1-year post-diagnosis period: mild US$13 415, moderate US$29 512 and severe US$68 260 (p<0.0001). Leading mean cost drivers were outpatient visits (US$13 566) and hospitalisations (US$10 252). Post-diagnosis inpatient utilisation (≥1 stay) was higher for patients with severe (51.2%) and moderate (22.4%) SLE, compared with mild SLE (12.8%), with longer mean hospital stays: mild 0.47 days, moderate 1.31 days and severe 5.52 days (p<0.0001). CONCLUSION: HCRU and costs increase with disease severity in the year before and after diagnosis; leading cost drivers post-diagnosis were outpatient visits and hospitalisations. Earlier diagnosis and treatment may improve health outcomes and reduce HCRU and costs.

Frequency, severity and costs of flares increase with disease severity in newly diagnosed systemic lupus erythematosus: a real-world cohort study, United States, 2004-2015.

OBJECTIVE: To evaluate frequency, severity and costs of flares in US patients with newly diagnosed SLE. METHODS: Adults diagnosed with SLE between January 2005 and December 2014 were identified from US commercial claims data linked to electronic medical records. Disease and flare severity during 1 year after diagnosis were classified as mild, moderate or severe using a claims-based algorithm. Study outcomes included frequency and severity of flares stratified by disease severity during the 1-year post-diagnosis period and all-cause healthcare costs of flares by severity at 30, 60 and 90 days after flare. RESULTS: Among 2227 patients, 26.3%, 51.0% and 22.7% had mild, moderate and severe SLE, respectively. The overall annual flare rate was 3.5 and increased with disease severity: 2.2, 3.7 and 4.2, respectively, for mild, moderate and severe SLE (p<0.0001). Patients with severe SLE had a higher annual severe flare rate (0.6) compared with moderate (0.1) or mild SLE (0; p<0.0001). Mean total all-cause costs at 30, 60 and 90 days after flare were $16 856, $22 252 and $27 468, respectively, for severe flares (mild flares: $1672, $2639 and $3312; moderate flares: $3831, $6225, $8582; (p<0.0001, all time points)). Inpatient costs were the primary driver of the increased cost of severe flares. CONCLUSIONS: Flare frequency and severity in newly diagnosed patients with SLE increase with disease severity. After a flare, healthcare costs increase over the following 90 days by disease severity. Preventing flares or reducing flare rates and duration may improve outcomes and reduce healthcare costs.