Abstract
Study Objectives
To examine the impact of untreated insomnia on health care utilization (HCU) among a nationally representative sample of Medicare beneficiaries.
Methods
Our data source was ...a random 5% sample of Medicare administrative data for years 2006–2013. Insomnia was operationalized as the presence of at least one claim containing an insomnia-related diagnosis in any given year based on International Classification of Disease, Version 9, Clinical Modification codes or at least one prescription fill for an insomnia-related medication in Part D prescription drug files in each year. We compared HCU in the year prior to insomnia diagnosis to HCU among to non-sleep disordered controls during the same period.
Results
A total of 151 668 beneficiaries were found to have insomnia. Compared to controls (n = 333 038), beneficiaries with insomnia had higher rates of HCU across all point of service locations. Rates of HCU were highest for inpatient care (rate ratio RR 1.61; 95% confidence interval CI 1.59, 1.64) and lowest for prescription fills (RR 1.17; 95% CI 1.16, 1.17). Similarly, compared to controls, beneficiaries with insomnia demonstrated $63,607 (95% CI $60,532, $66,685) higher all-cause costs, which were driven primarily by inpatient care ($60,900; 95% CI $56,609, $65,191). Emergency department ($1,492; 95% CI $1,387, $1,596) and prescription costs ($486; 95% CI $454, $518) were also elevated among cases relative to controls.
Conclusions
In this randomly selected and nationally representative sample of older Medicare beneficiaries and compared to non-sleep disordered controls, individuals with untreated insomnia demonstrated increased HCU and costs across all points of service.
IMPORTANCE: Non-Hispanic Black (hereafter Black) patients with traumatic brain injury (TBI) experience worse long-term outcomes and residual disability compared with non-Hispanic White (hereafter ...White) patients. Receipt of appropriate rehabilitation can improve function among older adults after TBI. OBJECTIVE: To assess the association between race and receipt of home- and community-based rehabilitation among a nationally representative sample of older Medicare beneficiaries with TBI. DESIGN, SETTING, AND PARTICIPANTS: This cohort study analyzed a random sample of Medicare administrative claims data for community-dwelling Medicare beneficiaries aged 65 years or older who were hospitalized with a primary diagnosis of TBI and discharged alive to a nonhospice setting from 2010 through 2018. Claims data for Medicare beneficiaries of other races and ethnicities were excluded due to the small sample sizes within each category. Data were analyzed January 21 to August 30, 2022. EXPOSURES: Black or White race. MAIN OUTCOMES AND MEASURES: Monthly use rates of home-based or outpatient rehabilitation were calculated over the 6 months after discharge from the hospital. The denominator for rate calculations accounted for variation in length of hospital and rehabilitation facility stays and loss to follow-up due to death. Rates over time were modeled using generalized estimating equations, controlling for TBI acuity, demographic characteristics, comorbidities, and socioeconomic factors. RESULTS: Among 19 026 Medicare beneficiaries (mean SD age, 81.6 8.1 years; 10 781 women 56.7%; and 994 Black beneficiaries 5.2% and 18 032 White beneficiaries 94.8%), receipt of 1 or more home health rehabilitation visits did not differ by race (Black vs White, 47.4% vs 46.2%; P = .46), but Black beneficiaries were less likely to receive 1 or more outpatient rehabilitation visits compared with White beneficiaries (3.4% vs 7.1%; P < .001). In fully adjusted regression models, Black beneficiaries received less outpatient therapy over the 6 months after TBI (rate ratio, 0.60; 95% CI, 0.38-0.93). However, Black beneficiaries received more home health rehabilitation therapy over the 6 months after TBI than White beneficiaries (rate ratio, 1.15; 95% CI, 1.00-1.32). CONCLUSIONS AND RELEVANCE: This cohort study found relative shifts in rehabilitation use, with markedly lower outpatient therapy use and modestly higher home health care use among Black patients compared with White patients with TBI. These disparities may contribute to reduced functional recovery and residual disability among racial and ethnic minority groups. Additional studies are needed to assess the association between the amount of outpatient rehabilitation care and functional recovery after TBI in socioeconomically disadvantaged populations.
Risk of ischemic stroke and depression is elevated among older adults following traumatic brain injury (TBI), yet little is known about how the severity of TBI influences risk. Thus, our objective ...was to assess the association between severity of the index TBI and risk of ischemic stroke and depression in a sample of older adults treated for TBI.
Retrospective cohort study.
R Adams Cowley Shock Trauma Center.
Adults 65 years and older treated for TBI between 2006 and 2010 who survived to hospital discharge and could be linked to their Medicare administrative claims data with continuous enrollment for at least 6 months pre-TBI and 12 months post-TBI.
First dates of ischemic stroke and depression available in Medicare claims were used to exclude individuals with a history. Next, we separately assessed the association between TBI severity and time to first stroke and depression using Cox proportional hazards models.
Among 132 patients without preexisting history of stroke, high TBI severity was associated with increased risk of stroke compared with low TBI severity (adjusted hazard ratio 6.68, 95% confidence interval 2.49-17.94). Among 163 patients without preexisting history of depression, high TBI severity was not significantly associated with increased risk of depression compared with low TBI severity (adjusted hazard ratio 1.90, 95% confidence interval 0.94-3.84).
In this group of older adults with TBI, higher TBI severity was associated with increased risk of ischemic stroke, but not depression. These results suggest that increased monitoring of older adults with moderate-severe TBI for stroke may be warranted.
BackgroundTumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, demonstrates predictive biomarker potential for the identification ...of patients with cancer most likely to respond to immune checkpoint inhibitors. TMB is optimally calculated by whole exome sequencing (WES), but next-generation sequencing targeted panels provide TMB estimates in a time-effective and cost-effective manner. However, differences in panel size and gene coverage, in addition to the underlying bioinformatics pipelines, are known drivers of variability in TMB estimates across laboratories. By directly comparing panel-based TMB estimates from participating laboratories, this study aims to characterize the theoretical variability of panel-based TMB estimates, and provides guidelines on TMB reporting, analytic validation requirements and reference standard alignment in order to maintain consistency of TMB estimation across platforms.MethodsEleven laboratories used WES data from The Cancer Genome Atlas Multi-Center Mutation calling in Multiple Cancers (MC3) samples and calculated TMB from the subset of the exome restricted to the genes covered by their targeted panel using their own bioinformatics pipeline (panel TMB). A reference TMB value was calculated from the entire exome using a uniform bioinformatics pipeline all members agreed on (WES TMB). Linear regression analyses were performed to investigate the relationship between WES and panel TMB for all 32 cancer types combined and separately. Variability in panel TMB values at various WES TMB values was also quantified using 95% prediction limits.ResultsStudy results demonstrated that variability within and between panel TMB values increases as the WES TMB values increase. For each panel, prediction limits based on linear regression analyses that modeled panel TMB as a function of WES TMB were calculated and found to approximately capture the intended 95% of observed panel TMB values. Certain cancer types, such as uterine, bladder and colon cancers exhibited greater variability in panel TMB values, compared with lung and head and neck cancers.ConclusionsIncreasing uptake of TMB as a predictive biomarker in the clinic creates an urgent need to bring stakeholders together to agree on the harmonization of key aspects of panel-based TMB estimation, such as the standardization of TMB reporting, standardization of analytical validation studies and the alignment of panel-based TMB values with a reference standard. These harmonization efforts should improve consistency and reliability of panel TMB estimates and aid in clinical decision-making.
Predictive models for earlier diagnosis of Alzheimer's disease and related dementias (ADRD) that rely on variables requiring assessment during an office visit, such as cognitive function, body mass ...index, or lifestyle factors, may not be broadly applicable, since that level of data may be inaccessible or inefficient.
To build a predictive model for earlier diagnosis of ADRD using only administrative claims data to enhance applicability at the health care-system level. Building on the strength of this approach and knowledge that health care utilization (HCU) is increased before dementia diagnosis, it was hypothesized that previous HCU history would improve predictive ability of the model.
We conducted a case-control study using data from the OptumLabs Data Warehouse. ADRD was defined using ICD-9-CM codes and prescription fills for antidementia medications. We included individuals with mild cognitive impairment. Cases aged ≥ 18 years with a diagnosis between 2011-2014 were matched to controls without ADRD. HCU variables were incorporated into regression models along with comorbidities and symptoms.
The derivation cohort comprised 24,521 cases and 95,464 controls. Final adjusted models were stratified by age. We obtained moderate accuracy (c-statistic = 0.76) for the model among younger (aged < 65 years) adults and poor discriminatory ability (c-statistic = 0.63) for the model among older adults (aged ≥ 65 years). Neurological and psychological disorders had the largest effect estimates.
We created age-stratified predictive models for earlier diagnosis of dementia using information available in administrative claims. These models could be used in decision support systems to promote targeted cognitive screening and earlier dementia recognition for individuals aged < 65 years. These models should be validated in other cohorts.
This research was supported by AstraZeneca, Global CEO Initiative, Janssen, OptumLabs, and Roche. Albrecht was supported by Agency for Healthcare Quality and Research grant K01HS024560. Perfetto is employed by the National Health Council, which accepts membership dues and sponsorships from a variety of organizations and companies. The authors declare no other potential conflicts of interest.
Obstructive sleep apnea and depression are highly comorbid among older adults, and each is associated with increased economic costs and health care resource utilization. The purpose of this study was ...to determine the economic burden of comorbid occult obstructive sleep apnea among a random sample of older adult Medicare beneficiaries in the United States. Among 41,500 participants with preexisting depression and meeting inclusion criteria, 4,573 (11%) had occult OSA. In fully adjusted models, beneficiaries with occult OSA were heavier users of inpatient (rate ratio: 1.53; 95% CI: 1.39, 1.67), outpatient (rate ratio: 1.18; 95% CI: 1.10, 1.27), emergency department (rate ratio: 1.48; 95% CI: 1.35, 1.63), and prescription (rate ratio: 1.09; 95% CI: 1.05, 1.14) services. Mean total costs were also significantly higher among beneficiaries with occult OSA ($44,390; 95% CI: $32,076, $56,703).
Wickwire EM, Albrecht JS. Occult, undiagnosed obstructive sleep apnea is associated with increased health care resource utilization and costs among older adults with comorbid depression: a retrospective cohort study among Medicare beneficiaries.
. 2024;20(5):817-819.
Depression is associated with poorer recovery after traumatic brain injury (TBI), yet awareness of depression risk post-TBI among providers and patients is low. The aim of this study was to estimate ...risk of depression post-TBI among adults 18 years of age and older and to identify risk factors associated with developing depression post-TBI. We conducted a retrospective, matched cohort study using claims data for privately insured and Medicare Advantage enrollees in a large U.S. health plan. Adults ≥18 years of age diagnosed with TBI (n = 207,354) with 12 months continuous insurance coverage pre-TBI and 24 months post-TBI were matched to controls without TBI (n = 414,708). We identified the presence of depression on any in- or outpatient claim occurring during the study period (both before and after TBI). Of the initial 622,062 individuals, 62,963 (10%) had depression pre-TBI and were excluded from incidence calculations. Incidence of depression post-TBI was 79.5 (95% confidence interval CI, 78.5,80.5) per 1,000 person-years compared to 33.5 (95% CI, 33.1,34.0) per 1,000 person-years for those without TBI. The adjusted hazard ratio for depression post-TBI was 1.83 (95% CI, 1.79,1.86). We observed effect modification by sex and age, with males and older adults at increased risk. History of neuropsychiatric disturbances pre-TBI was the strongest predictor of depression post-TBI. Risk of depression increases substantially post-TBI. Groups at increased risk include those with a history of neuropsychiatric disturbances, older adults, and men. This study highlights the importance of long-term monitoring for depression post-TBI.
Abstract Context Antibiotic prescription in hospice patients is complicated by the focus on palliative rather than curative care and concerns regarding increasing antibiotic resistance. Objectives To ...estimate the antibiotic use in a national sample of hospice patients and identify facility and patient characteristics associated with antibiotic use in this population. Methods This was an analysis of data from the 2007 National Home and Hospice Care Survey, a nationally representative sample of U.S. hospice agencies. We included data from 3884 patients who died in hospice care. The primary outcome measure was prevalence of antibiotic use in the last seven days of life. Diagnoses, including potential infectious indications for antibiotic use, were defined using International Classification of Diseases, Ninth Revision (ICD-9) codes. Chi-squared tests and t -tests were used to quantify associations of patient and facility characteristics with antibiotic use. Results During the last seven days of life, 27% (95% CI: 24%–30%) of patients received at least one antibiotic and 1.3% (95% CI: 0.7%–2.0%) received three or more antibiotics. Among patients who received at least one antibiotic, 15% (95% CI: 10%–20%) had a documented infectious diagnosis compared with 9% (95% CI: 7%–11%), who had an infectious diagnosis but received no antibiotics. Conclusion In this nationally representative sample, 27% of hospice patients received an antibiotic during the last seven days of life, most without a documented infectious diagnosis. Further research is needed to elucidate the role of antibiotics in this patient population to maintain palliative care goals while reducing unnecessary antibiotic use.
The objectives of this study were to identify characteristics associated with receipt of antidepressants for treatment of incident depression diagnosed following traumatic brain injury (TBI) and to ...assess the impact of receipt of treatment for depression on risk of other neuropsychiatric outcomes associated with TBI. We conducted a retrospective cohort study of individuals with TBI who were subsequently diagnosed with incident depression between 2008 and 2014 using data from the OptumLabs
Data Warehouse. We identified factors associated with receipt of antidepressants and compared risk of new diagnosis of alcohol dependence disorder, anxiety, insomnia, and substance dependence disorder between those who received antidepressants and those who did not over a maximum 2-year follow-up, controlling for duration of use and clinical and demographic characteristics. Of 9581 individuals newly diagnosed with depression following TBI, 4103 (43%) received at least one antidepressant. Moderate-severe TBI (odds ratio OR 1.44; 95% confidence interval CI: 1.39, 1.50), female sex (OR 1.21; 95% CI: 1.19, 1.24), diagnosis of Alzheimer's disease (OR 1.39; 95% CI: 1.35, 1.44), and anxiety (OR 1.35; 95% CI: 1.31, 1.38) were associated with receipt of antidepressants. Longer duration of antidepressant use was associated with decreased risk of newly diagnosed anxiety (hazard ratio HR 0.92; 95% CI: 0.89, 0.96), insomnia (HR 0.94; 95% CI: 0.91, 0.98), and substance dependence disorder (HR 0.92; 95% CI: 0.88, 0.97). These results provide evidence of a beneficial effect of antidepressant use on incidence of outcomes associated with poorer recovery from TBI.
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