Lemborexant and Daridorexant for the Treatment of Insomnia: An Indirect Comparison Using Number Needed to Treat, Number Needed to Harm, and Likelihood to Be Helped or Harmed.

Objective: To determine if there are differences in the number needed to treat (NNT), number needed to harm (NNH), and likelihood to be helped or harmed (LHH) between lemborexant and daridorexant and to compare lemborexant with daridorexant indirectly.Methods: Dichotomous efficacy and tolerability outcomes reported for Phase 3 daridorexant trials (conducted May 29, 2018-May 14, 2020) for months 1 and 3 were identified from published literature and regulatory documents. Analogous data were extracted for lemborexant from Phase 3 studies (conducted May 31, 2016-January 8, 2019). NNT, NNH, and LHH were then calculated.Results: Lemborexant 5 mg and 10 mg had clinically relevant therapeutic effect sizes, evidenced by most NNT values versus placebo < 10 for Insomnia Severity Index [ISI], subjective total sleep time [sTST], and polysomnography outcomes. NNH values for adverse events (AEs) were > 10, suggesting relative tolerability. Somnolence was the most common AE. Discontinuation rates of lemborexant because of an AE were low, including for somnolence. Efficacy outcomes for daridorexant 25-mg and 50-mg doses pooled resulted in most NNT values versus placebo ≥ 10, with more robust NNT estimates for the 50-mg dose than for the 25-mg dose. Discontinuation rate because of an AE at month 3 was higher for placebo than for daridorexant, rendering favorable LHH calculations. Daridorexant evidenced low rates of somnolence or fatigue.Conclusions: In Phase 3 trials, the benefit-risk ratios for both lemborexant and daridorexant were favorable as measured by NNT, NNH, and LHH. Indirect comparisons of lemborexant with daridorexant suggest an efficacy advantage for lemborexant and a tolerability advantage for daridorexant.Clinical Trials Registration: NCT02783729, NCT02952820, NCT03545191, NCT03575104.

Economic burden of comorbid insomnia in 5 common medical disease subgroups.

STUDY OBJECTIVES: Approximately 85% of insomnia co-occurs with other disorders. Whereas insomnia was once considered "secondary" to these disorders, it is now widely recognized as an independent condition warranting treatment. While it is clear that insomnia can affect the course of other medical conditions, there is scant literature on the economic impact of comorbid insomnia among patients with common medical conditions. The aim of this study was to determine the economic burden of comorbid insomnia in 5 medical diseases commonly associated with insomnia: type 2 diabetes mellitus (T2DM), cancer undergoing treatment, menopause undergoing hormone replacement therapy, osteoporosis, and Alzheimer's disease and related dementias (ADRDs). METHODS: This retrospective cohort study used claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases from January 1, 2014, through December 31, 2019. Insomnia and comorbid disease groups were defined using physician-assigned International Classification of Diseases diagnostic codes. Insomnia medication treatment was defined based on ≥1 prescription fills for the most commonly prescribed insomnia medications (zolpidem, low-dose trazodone, and benzodiazepines [as a class]). For each comorbid disease subgroup, 4 cohorts were created: (1) patients with either treated or untreated insomnia, (2) non-sleep-disordered controls, (3) patients with untreated insomnia, and (4) patients with treated insomnia. RESULTS: Sample sizes for individuals with comorbid insomnia ranged from 23,168 (T2DM) to 3,015 (ADRDs). Within each disease subgroup and relative to non-sleep-disordered controls, patients with comorbid insomnia demonstrated greater adjusted health care resource utilization and costs across most points of service. Likewise, relative to individuals with untreated insomnia, those with treated insomnia generally demonstrated greater adjusted health care resource utilization and costs. CONCLUSIONS: In this national analysis, both untreated comorbid insomnia and comorbid insomnia treated with commonly prescribed insomnia medications were associated with increased health care resource utilization and costs across most points of service. CITATION: Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups. J Clin Sleep Med. 2023;19(7):1293-1302.

Benzodiazepine Usage, Healthcare Resource Utilization, and Costs Among Older Adults Treated with Common Insomnia Medications: A Retrospective Cohort Study.

Background: Benzodiazepines are commonly prescribed for insomnia management but are often associated with negative safety outcomes such as falls and abuse, particularly among older adults. Objective: The purpose of this real-world study was to compare the impact of benzodiazepines, low-dose trazodone, and zolpidem immediate release (IR) on healthcare resource utilization (HCRU), and costs among older adults (age ≥ 65 years) with insomnia in the US. Methods: Using the IBM MarketScan Medicare Supplemental Database, older adults with >1 physician-assigned diagnosis of insomnia and treated with benzodiazepines were matched 1:1 on age, sex, and index-date to individuals treated with trazodone, and separately matched 1:1 on age and sex, to individuals treated with zolpidem immediate release (IR). Between-groups differences were analyzed using general linear models (GLMs) that controlled for multiple confounders. Results: Significant between-groups differences in HCRU and costs were observed such that relative to zolpidem IR and separately relative to low-dose trazodone, benzodiazepines were consistently associated with worsened outcomes. Conclusion: These findings build upon and extend prior knowledge on the negative impact of benzodiazepines and suggest directions for future research.

Cardiac events and economic burden among patients with hypertension and treated insomnia in the USA.

Background: Cardiovascular (CV) event risk, healthcare resource utilization (HCRU) and costs have not been elucidated among hypertension patients with treated insomnia (H + TI). Materials & methods: Adult patients with H + TI were identified in IBM MarketScan databases. H + TI patients were matched 1:1 on age and sex to controls with hypertension but without sleep disorders. Multivariable models were used to estimate associations between treated insomnia and CV event risk, HCRU and costs. Results: In total, 81,502 H + TI patients (mean age = 62 years, 53% female) were matched. Relative to controls, H + TI patients were 2.4 times as likely to have CV events. H + TI patients incurred higher costs per patient per month (US$2343 vs US$1013). Conclusion: Treated insomnia was associated with higher costs and HRCU in hypertension patients.

Incremental health care resource use and costs among adult patients with depression and treated for insomnia with zolpidem, trazodone, or benzodiazepines.

OBJECTIVE: To quantify health care resource utilization (HCRU) and costs associated with insomnia treated with commonly prescribed insomnia medications among patients with depression. METHODS: A retrospective cohort study was conducted using IBM MarketScan Commercial and Medicare Supplemental Databases to identify adults with: (1) ≥1 ICD-9/ICD-10 code for depression; (2) ≥1 commonly prescribed medication for insomnia (zolpidem immediate release [IR], zolpidem extended release [ER], trazodone, or benzodiazepines); and (3) ≥12 months of eligibility before and after initiating insomnia medication. A 1:1 age- and sex-matched control cohort with depression but without sleep-related disorders was identified. Adjusted HCRU and costs were compared using generalized linear models. RESULTS: A total of 21,027 patients (mean age = 48.3 years, 69.5% female) with depression and treated insomnia (D + TI; 1.9% zolpidem ER, 32.0% zolpidem IR, 50.0% trazodone, 16.1% benzodiazepines) were matched to controls. Although mean number of inpatient visits were similar (0.1 for both), relative to controls, D + TI had a higher mean number of ED (0.2 vs 0.1, p < .001) and outpatient visits (2.2 vs 1.3, p < .001). Adjusted total costs per patient per month were higher among D + TI patients ($2450 vs $1095, p < .001). Inpatient and ED costs were higher among patients prescribed zolpidem IR, trazodone, or benzodiazepines, but not zolpidem ER. CONCLUSIONS: Relative to controls with depression but without sleep disorders, overall, health care costs for adults with D + TI were 2.2-fold higher; costs and HCRU varied by insomnia medication. Further study of the impact of newer insomnia treatments on patient outcomes in depression and comorbid insomnia is warranted.

Fall Risk, Healthcare Resource Use, and Costs Among Adult Patients in the United States Treated for Insomnia with Zolpidem, Trazodone, or Benzodiazepines: A Retrospective Cohort Study.

INTRODUCTION: Falls are a common cause for morbidity and mortality among patients taking prescription insomnia medication. The objective of this study is to compare the risk of falls, all-cause healthcare resource utilization (HCRU), and costs among patients treated with commonly used, older generation insomnia medications and non-sleep-disordered controls. METHODS: This retrospective cohort study used the IBM® MarketScan® Commercial and Medicare Supplemental Databases to identify patients aged at least 18 years treated with commonly prescribed medications for insomnia (zolpidem, trazodone, benzodiazepines) between 1 January 2012 and 30 September 2017. The insomnia-treated cohort were age- and sex-matched (1:1) to non-sleep-disordered controls. Odds ratios (ORs) compared risk of falls in each cohort, adjusting for covariates. Costs were adjusted to 2018 dollars, the most recent year for the study data. RESULTS: Relative to matched controls (n = 313,086), the insomnia-treated cohort had a higher rate of falls (3.34% vs. 1.33%), and higher risk of falls [OR = 2.36 (95% confidence interval 2.27-2.44)]. Relative to other index treatments, patients treated with trazodone had the greatest risk of falls. Compared with matched controls, the estimated mean number of inpatient visits, emergency department visits, outpatient visits, and mean length of inpatient stay were all significantly higher among patients treated for insomnia. Such patients incurred greater total costs per patient per month than matched controls ($2100 versus $888; estimated mean ratio, 2.36; 95% CI 2.35-2.38; p < 0.0001). CONCLUSIONS: Relative to matched controls, the insomnia-treated cohort showed higher risk of falls with greater HCRU and costs. Each outcome measured was highest among patients treated with trazodone, relative to other index treatments. Findings suggest the need for new treatment options to optimize quality of care for patients with insomnia.

Comparative value of four measures of retention in expert care in predicting clinical outcomes and health care utilization in HIV patients.

This study compared the ability of four measures of patient retention in HIV expert care to predict clinical outcomes. This retrospective study examined Veterans Health Administration (VHA) beneficiaries with HIV (ICD-9-CM codes 042 or V08) receiving expert care (defined as HIV-1 RNA viral load and CD4 cell count tests occurring within one week of each other) at VHA facilities from October 1, 2006, to September 30, 2008. Patients were ≥18 years old and continuous VHA users for at least 24 months after entry into expert care. Retention measures included: Annual Appointments (≥2 appointments annually at least 60 days apart), Missed Appointments (missed ≥25% of appointments), Infrequent Appointments (>6 months without an appointment), and Missed or Infrequent Appointments (missed ≥25% of appointments or >6 months without an appointment). Multivariable nominal logistic regression models were used to determine associations between retention measures and outcomes. Overall, 8,845 patients met study criteria. At baseline, 64% of patients were virologically suppressed and 37% had a CD4 cell count >500 cells/mm3. At 24 months, 82% were virologically suppressed and 46% had a CD4 cell count >500 cells/mm3. During follow-up, 13% progressed to AIDS, 48% visited the emergency department (ED), 28% were hospitalized, and 0.3% died. All four retention measures were associated with virologic suppression and antiretroviral therapy initiation at 24 months follow-up. Annual Appointments correlated positively with CD4 cell count >500 cells/mm3. Missed Appointments was predictive of all primary and secondary outcomes, including CD4 cell count ≤500 cells/mm3, progression to AIDS, ED visit, and hospitalization. Missed Appointments was the only measure to predict all primary and secondary outcomes. This finding could be useful to health care providers and public health organizations as they seek ways to optimize the health of HIV patients.

The impact of ribavirin on real-world adherence rates in hepatitis C patients treated with sofosbuvir plus simeprevir.

BACKGROUND: Combination therapy with sofosbuvir (SOF) and simeprevir (SIM) is used to treat patients with hepatitis C virus infection. It is currently unknown whether adding ribavirin (RBV) to SOF + SIM, which raises the pill count from two up to eight pills a day, impacts adherence. The aim of this study is to examine the impact of pill count on real-world adherence rates in patients treated with SOF + SIM with and without RBV. METHODS: This retrospective study assessed composite adherence to SOF and SIM over 12 weeks of treatment for two cohorts of hepatitis C patients: one initiating SOF + SIM therapy, and the other initiating SOF + SIM + RBV therapy. Analyses were conducted using MarketScan(®) and Optum US commercial pharmacy claims and enrollment data. Adherence was adjusted by treatment regimen, age, sex, co-pay, presence/absence of cirrhosis, treatment history, and Charlson Comorbidity Index. RESULTS: There was a significant difference in composite unadjusted and adjusted adherence rates for SOF and SIM for the SOF + SIM vs SOF + SIM + RBV cohorts based on MarketScan data (unadjusted, 92.6% and 89.7%, respectively; P=0.0423; adjusted, 92.2% and 88.7%, respectively; P=0.0176), but not based on Optum data (unadjusted, 94.8% and 95.6%, respectively; P=0.5618; adjusted, 94.8% and 95.1%, respectively; P=0.8589). In the MarketScan and Optum databases, there were no statistical differences in unadjusted and adjusted adherence rates for SOF. Unadjusted and adjusted adherence rates for SIM were mixed, as they were for composite adherence. CONCLUSION: The impact of the addition of RBV to SOF + SIM therapy was mixed. The impact of RBV on SOF adherence was not significant in either database.

Depression and antidepressant use among people living with HIV in Hawaii: focus on Native Hawaiians.

Depression, including antidepressant use, has not been widely studied in the HIV-positive population or at all in HIV-positive Native Hawaiians. Of 1016 clients in Hawaii's HIV Seropositivity and Medical Management Program in 2001-2002, 300 (30%) reported having depression and half reported taking antidepressants. Native Hawaiians had the lowest depression rates of any group. Antidepressant use did not vary by race/ethnicity.

The role of Medicaid HMO enrollment in the longitudinal utilization of medical care services in a cohort of injecting drug users in Baltimore, Maryland.

Although injecting drug users (IDUs) are highly dependent on Medicaid, the literature has not explored the effect of Medicaid HMO enrollment on medical care utilization. This longitudinal analysis compares 6-month utilization levels of IDUs in Medicaid HMOs with those of other Medicaid-enrolled IDUs and IDUs in other insurance arrangements. The analysis includes 1064 participants from the AIDS Link to Intravenous Experience (ALIVE) study, a natural history study of HIV infection in a community-based sample of IDUs in Baltimore, Maryland. A generalized linear modeling approach was used to examine self-reported inpatient admissions, ER visits, and ambulatory care visits from January 1995 through June 1997. Non-HMO Medicaid beneficiaries had more inpatient admissions and ambulatory care visits than Medicaid HMO enrollees. These findings suggest that HMO enrollment has been effective in lowering utilization among IDUs in Medicaid, but it is unclear whether utilization differences are the result of inappropriate utilization or access issues.