Estimates of the excess cost burden of Ehlers-Danlos syndromes: a United States MarketScan® claims database analysis.

Introduction: Patients with Ehlers-Danlos syndromes (EDS) and hypermobility spectrum disorders (HSD) have significant health challenges that are well-documented, however their impact in terms of cost is not known. Our research objective was to examine the cost burden of EDS and HSD in the United States. We focused this analysis on those with commercial insurance plans. Methods: We queried the MarketScan® database for year 2021 for claims that contained an ICD-10 diagnosis code for EDS or hypermobility. Excess costs for patients in the EDS and HSD cohorts were determined by matching each patient to one patient in the database that did not have a claim for EDS or HSD and comparing total costs for the calendar year. We determined whether patients had claims for selected comorbid conditions likely to impact costs during the calendar year. Results: Sample sizes were 5,113 for adult (age ≥ 18) patients with EDS, 4,880 for adult patients with HSD, 1,059 for child (age 5-17) patients with EDS, and 2,427 for child patients with HSD. The mean excess costs were $21,100 for adult EDS patients, $11,600 for adult HSD patients, $17,000 for child EDS patients, and $11,000 for child HSD patients. EDS and HSD cohorts, both adults and children, with any of the comorbidities had greater healthcare costs. The largest difference was found in the EDS cohort with gastrointestinal comorbid conditions, with more than double the costs for adults. Discussion: We found that patients in the MarketScan database, adults and children, who had EDS or HSD had substantially higher associated excess healthcare costs than patients without EDS or HSD when considering age, sex, geographic location, and comorbidities. These disproportionate healthcare costs in this population have health policy and economic implications, including the need for rapid diagnosis, access to treatment, and accelerated research to advance treatments.

Comparison of two propensity score-based methods for balancing covariates: the overlap weighting and fine stratification methods in real-world claims data.

BACKGROUND: Two propensity score (PS) based balancing covariate methods, the overlap weighting method (OW) and the fine stratification method (FS), produce superb covariate balance. OW has been compared with various weighting methods while FS has been compared with the traditional stratification method and various matching methods. However, no study has yet compared OW and FS. In addition, OW has not yet been evaluated in large claims data with low prevalence exposure and with low frequency outcomes, a context in which optimal use of balancing methods is critical. In the study, we aimed to compare OW and FS using real-world data and simulations with low prevalence exposure and with low frequency outcomes. METHODS: We used the Texas State Medicaid claims data on adult beneficiaries with diabetes in 2012 as an empirical example (N = 42,628). Based on its real-world research question, we estimated an average treatment effect of health center vs. non-health center attendance in the total population. We also performed simulations to evaluate their relative performance. To preserve associations between covariates, we used the plasmode approach to simulate outcomes and/or exposures with N = 4,000. We simulated both homogeneous and heterogeneous treatment effects with various outcome risks (1-30% or observed: 27.75%) and/or exposure prevalence (2.5-30% or observed:10.55%). We used a weighted generalized linear model to estimate the exposure effect and the cluster-robust standard error (SE) method to estimate its SE. RESULTS: In the empirical example, we found that OW had smaller standardized mean differences in all covariates (range: OW: 0.0-0.02 vs. FS: 0.22-3.26) and Mahalanobis balance distance (MB) (< 0.001 vs. > 0.049) than FS. In simulations, OW also achieved smaller MB (homogeneity: <0.04 vs. > 0.04; heterogeneity: 0.0-0.11 vs. 0.07-0.29), relative bias (homogeneity: 4.04-56.20 vs. 20-61.63; heterogeneity: 7.85-57.6 vs. 15.0-60.4), square root of mean squared error (homogeneity: 0.332-1.308 vs. 0.385-1.365; heterogeneity: 0.263-0.526 vs 0.313-0.620), and coverage probability (homogeneity: 0.0-80.4% vs. 0.0-69.8%; heterogeneity: 0.0-97.6% vs. 0.0-92.8%), than FS, in most cases. CONCLUSIONS: These findings suggest that OW can yield nearly perfect covariate balance and therefore enhance the accuracy of average treatment effect estimation in the total population.

The impact of the COVID-19 pandemic on the rehabilitation therapy of children and adolescents with cerebral palsy: a nationwide, health insurance data-based study.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has profoundly affected the utilization of rehabilitation services. Existing evidence investigating this issue at the nationwide level is lacking, and it is uncertain whether the effects of the COVID-19 pandemic on the use of rehabilitation therapy of children and adolescents with cerebral palsy. This study aimed to investigate the impact of COVID-19 on the rehabilitation therapy of children and adolescents with cerebral palsy. Methods: We obtained data from South Korea's Health Insurance Review and Assessment Agency for 2017-2021. By analyzing the claims data, we focused on rehabilitation therapy in individuals with CP under 18 years of age. We categorized these according to therapy type (physical, occupational, or dysphagia), medical facility, hospital visits, and insurance. We calculated the patient counts and average claims per person and compared the average from before to during the COVID-19 pandemic. Results: Over the 5 years, there was a significant decline in the number of patients undergoing rehabilitation therapy (trend p = 0.004), but the average claims per person remained stable (trend p = 0.971). During the COVID-19 pandemic, the average number of claims per person decreased significantly compared to the control period (p = 0.013). Both the physical (p = 0.049) and occupational therapy groups (p = 0.019) showed significant differences in claims. General hospitals and hospitals experienced a decrease in average cases by 2.2 (p < 0.001) and 2.4 (p < 0.001) respectively, while long-term care hospitals increased by 3.1 cases (p < 0.001). Outpatients showed a decline of 2.0 cases (p < 0.001), whereas inpatients showed an increase of 5.9 cases (p < 0.001). Individuals with health insurance decreased by 0.5 cases (p = 0.007), but the decrease of 0.08 cases among medical aid-covered individuals was not statistically significant (p = 0.898). Conclusion: In 2020-2021, the average number of claims per person showed a significant decrease compared to the pre-COVID-19 pandemic period (2017-2019). Depending on the type of treatment, the number of claims for physical and occupational therapy significantly decreased.

Sampling coverage of the Arkansas all-payer claims database by County's persistent poverty designation.

OBJECTIVES: To evaluate the quality of Arkansas All-Payer Claims Database (APCD) for disparity research in persistent poverty areas by determining (1) its representativeness of Arkansas population, (2) variation by county, and (3) differences in coverage between persistent poverty and other counties. DATA SOURCES: Cross-sectional study using 2019 Arkansas APCD member enrollment data and county-level data from various agencies. DATA COLLECTION/EXTRACTION METHODS: An alias identifier linked persons across insurance plans. County FIPS codes were used to extract county-level variables. STUDY DESIGN: Cohort 1 included individuals with ≥1 day of medical coverage in 2019. Cohort 2 included individuals with medical coverage in June, 2019. Cohort 3 included individuals with continuous medical coverage in 2019. Sampling proportions of a county's population in the three cohorts were compared between persistent poverty and other counties. Inverse-variance weighted linear regression was used to identify county-level socioeconomic and demographic characteristics associated with inclusion in each cohort. PRINCIPAL FINDINGS: In 2019, 73.6% of Arkansans had medical coverage for ≥1 day (Cohort 1), 66.3% had coverage in June (Cohort 2), and 58.8% had continuous coverage (Cohort 3) in APCD. Sampling proportions varied by county (median[range]: Cohort 1, 78% [58%-95%]; Cohort 2, 71% [51%-88%]; and Cohort 3, 64% [44%-80%]), and were higher among persistent poverty counties than others for all three cohorts (mean [SD], persistent poverty vs. other: Cohort 1: 80.9% [6.4%] vs. 77.1% [6.3%], p = 0.04; Cohort 2: 74.0% [6.4%] vs. 70.1% [6.2%], p = 0.03; Cohort 3: 66.4% [6.1%] vs. 62.7% [6.0%], p = 0.03). In the 2019 APCD, larger counties and those with higher proportions of females or persons 65+ years had higher coverage, whereas counties with higher per capita household income, median home value, or disproportionately more persons of other races (non-White and non-Black) had lower coverage (p < 0.05 for all three cohorts). CONCLUSIONS: The Arkansas APCD had good coverage of Arkansas population. Coverage was higher in persistent poverty counties than others.

Association between claims-based setting of diagnosis and treatment initiation among Medicare patients with hepatitis C.

OBJECTIVE: To develop a claims-based algorithm to determine the setting of a disease diagnosis. DATA SOURCES AND STUDY SETTING: Medicare enrollment and claims data from 2014 to 2019. STUDY DESIGN: We developed a claims-based algorithm using facility indicators, revenue center codes, and place of service codes to identify settings where HCV diagnosis first appeared. When the first appearance was in a laboratory, we attempted to associate HCV diagnoses with subsequent clinical visits. Face validity was assessed by examining association of claims-based diagnostic settings with treatment initiation. DATA COLLECTION/EXTRACTION METHODS: Patients newly diagnosed with HCV and continuously enrolled in traditional Medicare Parts A, B, and D (12 months before and 6 months after index diagnosis) were included. PRINCIPAL FINDINGS: Among 104,454 patients aged 18-64 and 66,726 aged ≥65, 70.1% and 69%, respectively, were diagnosed in outpatient settings, and 20.2% and 22.7%, respectively in laboratory or unknown settings. Logistic regression revealed significantly lower odds of treatment initiation after diagnosis in emergency departments/urgent cares, hospitals, laboratories, or unclassified settings, than in outpatient visits. CONCLUSIONS: The algorithm identified the setting of HCV diagnosis in most cases, and found significant associations with treatment initiation, suggesting an approach that can be adapted for future claims-based studies.

Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data.

STUDY OBJECTIVES: The purpose of this study was to characterize the incidence of pediatric narcolepsy diagnosis, subsequent care, and potential sociodemographic disparities in a large US claims database. METHODS: Merative MarketScan insurance claims (n = 12,394,902) were used to identify youth (6-17 years of age) newly diagnosed with narcolepsy (International Classification of Diseases, 10th revision codes). Narcolepsy diagnosis and care 1 year postdiagnosis included polysomnography with Multiple Sleep Latency Test, pharmacological care, and clinical visits. Potential disparities were examined by insurance coverage and child race and ethnicity (Medicaid-insured only). RESULTS: The incidence of narcolepsy diagnosis was 10:100,000, primarily type 2 (69.9%). Most diagnoses occurred in adolescents with no sex differences, but higher rates in Black vs White youth with Medicaid. Two thirds had a prior sleep disorder diagnosis and 21-36% had other co-occurring diagnoses. Only half (46.6%) had polysomnography with Multiple Sleep Latency Test (± 1 year postdiagnosis). Specialty care (18.9% pulmonary, 26.9% neurology) and behavioral health visits were rare (34.4%), although half were prescribed stimulant medications (51.0%). Medicaid-insured were 86% less likely than commercially insured youth to have any clinical care and 33% less likely to have polysomnography with Multiple Sleep Latency Test. CONCLUSIONS: Narcolepsy diagnoses occurred in 0.01% of youth, primarily during adolescence, and at higher rates for Black vs White children with Medicaid. Only half overall had evidence of a diagnostically required polysomnography with Multiple Sleep Latency Test, underscoring potential misdiagnosis. Many patients had co-occurring conditions, but specialty and behavioral health care were limited. Results suggest misdiagnosis, underdiagnosis, and limited narcolepsy treatment, as well as possible disparities. Results highlight the need to identify determinants of evidence-based pediatric narcolepsy diagnosis and management. CITATION: Tang SH, Min J, Zhang X, et al. Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data. J Clin Sleep Med. 2024;20(7):1141-1151.

Who Provides Outpatient Clinical Care for Adults With ADHD? Analysis of Healthcare Claims by Types of Providers Among Private Insurance and Medicaid Enrollees, 2021.

OBJECTIVE: To characterize provider types delivering outpatient care overall and through telehealth to U.S. adults with ADHD. METHOD: Using employer-sponsored insurance (ESI) and Medicaid claims, we identified enrollees aged 18 to 64 years who received outpatient care for ADHD in 2021. Billing provider codes were used to tabulate the percentage of enrollees receiving ADHD care from 10 provider types overall and through telehealth. RESULTS: Family practice physicians, psychiatrists, and nurse practitioners/psychiatric nurses were the most common providers for adults with ESI, although the distribution of provider types varied across states. Lower percentages of adults with Medicaid received ADHD care from physicians. Approximately half of adults receiving outpatient ADHD care received ADHD care by telehealth. CONCLUSION: Results may inform the development of clinical guidelines for adult ADHD and identify audiences for guideline dissemination and education planning.

The Lack of a Standardized Definition of Chronic Dialysis Treatment in German Statutory Health Insurance Claims Data.

BACKGROUND: Chronic kidney failure (CKF) is often treated with dialysis, which is invasive and costly and carries major medical risks. The existing studies of patients with CKF requiring dialysis that are based on claims data from German statutory health insurance (SHI) carriers employ varying definitions of this entity, with unclear consequences for the resulting statistical estimates. METHODS: We carried out a cohort study on four random samples, each consisting of 62 200 persons aged 70 or above, from among the insurees of the SHI AOK Nordost, with one sample for each of the years 2012, 2014, 2016, and 2018. The prevalence, incidence, mortality, and direct health care costs of CKF requiring dialysis were estimated and compared on the basis of four different definitions from literature and a new definition developed by the authors in reference to billing data. RESULTS: The different definitions led to variation in 12-month prevalences (range: 0.33-0.61%) and 6-month incidences (0.058-0.100%). The percentage of patients with prior acute kidney injury (AKI) ranged from 27.6% to 61.8%. Among incident patients, three-month survival ranged from 70.2% to 88.1%, and six-month survival from 60.5% to 81.3%. In CKF patients without prior AKI, the survival curves differed less across definitions (80.2-91.8% at three months, 70.7-84.4% at six months). The monthly health care costs ranged from €6010 to €9606, with marked variability across definitions in the costs of inpatient and outpatient care. CONCLUSION: The lack of a standardized definition of CKF requiring dialysis in German SHI claims data leads to variability in the estimated case numbers, mortality, and health care costs. These differences are most probably in part due to the variable inclusion of inpatients who received short-term dialysis after AKI.

Characteristics of pediatric patients claimed with acute upper respiratory infection during otorhinolaryngology consultations: A descriptive study of a large Japanese medical claims database.

This study aimed to clarify other diseases claimed simultaneously with acute upper respiratory infection (URI), antibiotic prescriptions, and examinations associated with infectious diseases in pediatric patients with acute URI insurance claims at otorhinolaryngology outpatient visits. Pediatric patients who visited an otolaryngology department between 2019 and 2021 and were definitively diagnosed with URI were selected using a large Japanese medical claims database. Patient backgrounds, antibiotic use, and examinations were descriptively evaluated. In total, 8010 patients were included in the analysis. The median number (interquartile range) of diseases claimed in the same month as acute URI was 4 (3-6). Only 519 (6.5 %) patients were claimed as acute URI alone. Regardless of the prescription of antibiotics, the most commonly redundantly claimed disease in these patients was allergic rhinitis, followed by acute bronchitis, acute sinusitis, and earwax impaction. The frequently prescribed antibiotics were third-generation cephalosporins, macrolides, and penicillins with extended-spectrum, including amoxicillin which was recommended by the Japanese manual; the proportion of patients with examinations was low (2.9-21.7 %). Among patients with acute URI, diagnoses requiring antibiotics were also claimed; therefore, when evaluating acute URI using the Japanese medical claims database, care must be taken in patient selection. Moreover, the implementation rate of examinations necessary for diagnosis was low, so there is an urgent need to develop an environment where examinations can be conducted in outpatient settings.

Hospital Prices for Physician-Administered Drugs for Patients with Private Insurance.

BACKGROUND: Hospitals can leverage their position between the ultimate buyers and sellers of drugs to retain a substantial share of insurer pharmaceutical expenditures. METHODS: In this study, we used 2020-2021 national Blue Cross Blue Shield claims data regarding patients in the United States who had drug-infusion visits for oncologic conditions, inflammatory conditions, or blood-cell deficiency disorders. Markups of the reimbursement prices were measured in terms of amounts paid by Blue Cross Blue Shield plans to hospitals and physician practices relative to the amounts paid by these providers to drug manufacturers. Acquisition-price reductions in hospital payments to drug manufacturers were measured in terms of discounts under the federal 340B Drug Pricing Program. We estimated the percentage of Blue Cross Blue Shield drug spending that was received by drug manufacturers and the percentage retained by provider organizations. RESULTS: The study included 404,443 patients in the United States who had 4,727,189 drug-infusion visits. The median price markup (defined as the ratio of the reimbursement price to the acquisition price) for hospitals eligible for 340B discounts was 3.08 (interquartile range, 1.87 to 6.38). After adjustment for drug, patient, and geographic factors, price markups at hospitals eligible for 340B discounts were 6.59 times (95% confidence interval [CI], 6.02 to 7.16) as high as those in independent physician practices, and price markups at noneligible hospitals were 4.34 times (95% CI, 3.77 to 4.90) as high as those in physician practices. Hospitals eligible for 340B discounts retained 64.3% of insurer drug expenditures, whereas hospitals not eligible for 340B discounts retained 44.8% and independent physician practices retained 19.1%. CONCLUSIONS: This study showed that hospitals imposed large price markups and retained a substantial share of total insurer spending on physician-administered drugs for patients with private insurance. The effects were especially large for hospitals eligible for discounts under the federal 340B Drug Pricing Program on acquisition costs paid to manufacturers. (Funded by Arnold Ventures and the National Institute for Health Care Management.).

Chronic Obstructive Pulmonary Disease Adverse Event Signals Associated with Potential Inhibitors of Glutathione Peroxidase 1: A Sequence Symmetry Analysis.

BACKGROUND AND OBJECTIVE: Prior molecular modelling analysis identified several medicines as potential inhibitors of glutathione peroxidase 1 (GPx1) which may contribute to development or progression of chronic obstructive pulmonary disease (COPD). This study investigates 40 medicines (index medicines) for signals of COPD development or progression in a real-world dataset. METHODS: Sequence symmetry analysis (SSA) was conducted using a 10% extract of Australian Pharmaceutical Benefits Scheme (PBS) claims data between January 2013 and September 2019. Patients must have been initiated on an index medicine and a medicine for COPD development or progression within 12 months of each other. Sequence ratios were calculated as the number of patients who initiated an index medicine followed by a medicine for COPD development or progression divided by the number who initiated the index medicine second. An adjusted sequence ratio (aSR) was calculated which accounted for changes in prescribing trends. Adverse drug event signals (ADEs) were identified where the aSR lower 95% confidence interval (CI) was greater than 1. RESULTS: Twenty-one of 40 (53%) index medicines had at least one ADE signal of COPD development or progression. Signals of COPD development, as identified using initiation of tiotropium, were observed for atenolol (aSR 1.32, 95% CI 1.23-1.42) and naproxen (aSR 1.14, 95% CI 1.06-1.23). Several signals of COPD progression were observed, including initiation of fluticasone propionate/salmeterol following initiation of atenolol (aSR 1.44, 95% CI 1.30-1.60) and initiation of aclidinium/formoterol following initiation of naproxen (aSR 2.21, 95% CI 1.34-3.65). CONCLUSION: ADE signals were generated for several potential GPx1 inhibitors; however, further validation of signals is required in large well-controlled observational studies.

The Volume and Cost of Quality Metric Reporting.

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Hypnotic prescription trends and patterns for the treatment of insomnia in Japan: analysis of a nationwide Japanese claims database.

BACKGROUND: There is limited consensus regarding the optimal treatment of insomnia. The recent introduction of orexin receptor antagonists (ORA) has increased the available treatment options. However, the prescribing patterns of hypnotics in Japan have not been comprehensively assessed. We performed analyses of a claims database to investigate the real-world use of hypnotics for treating insomnia in Japan. METHODS: Data were retrieved for outpatients (aged ≥ 20 to < 75 years old) prescribed ≥ 1 hypnotic for a diagnosis of insomnia between April 1st, 2009 and March 31st, 2020, with ≥ 12 months of continuous enrolment in the JMDC Claims Database. Patients were classified as new or long-term users of hypnotics. Long-term use was defined as prescription of the same mechanism of action (MOA) for ≥ 180 days. We analyzed the trends (2010-2019) and patterns (2018-2019) in hypnotics prescriptions. RESULTS: We analyzed data for 130,177 new and 91,215 long-term users (2010-2019). Most new users were prescribed one MOA per year (97.1%-97.9%). In 2010, GABAA-receptor agonists (benzodiazepines [BZD] or z-drugs) were prescribed to 94.0% of new users. Prescriptions for BZD declined from 54.8% of patients in 2010 to 30.5% in 2019, whereas z-drug prescriptions remained stable (~ 40%). Prescriptions for melatonin receptor agonist increased slightly (3.2% to 6.3%). Prescriptions for ORA increased over this time from 0% to 20.2%. Prescriptions for BZD alone among long-term users decreased steadily from 68.3% in 2010 to 49.7% in 2019. Prescriptions for ORA were lower among long-term users (0% in 2010, 4.3% in 2019) relative to new users. Using data from 2018-2019, multiple (≥ 2) MOAs were prescribed to a higher proportion of long-term (18.2%) than new (2.8%) users. The distribution of MOAs according to psychiatric comorbidities, segmented by age or sex, revealed higher proportions of BZD prescriptions in elderly (new and long-term users) and male (new users) patients in all comorbidity segments. CONCLUSION: Prescriptions for hypnotics among new and long-term users in Japan showed distinct patterns and trends. Further understanding of the treatment options for insomnia with accumulating evidence for the risk-benefit balance might be beneficial for physicians prescribing hypnotics in real-world settings.

Prevalence of idiopathic pulmonary fibrosis in Japan based on a claims database analysis.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a cryptogenic chronic interstitial pneumonia with progressive fibrosis and a poor prognosis. A substantial number of epidemiological studies have been conducted in Europe and the United States (US). In contrast, in Japan, only one study reported the prevalence of IPF (10.0 per 100,000 population) using clinical data (2003-2007) from one prefecture; thus, the nationwide prevalence of IPF remains unknown. This study aimed to estimate the nationwide prevalence of IPF in Japan using a nationwide claims database. METHODS: We extracted data from a Japanese claims database provided by Medical Data Vision (MDV database, April 2008-March 2019) containing data from approximately 28 million patients from 385 acute-care hospitals. Patients with IPF (those diagnosed with IPF at least once) from April 2017 to March 2018 were identified in the MDV database. The number of patients in the MDV database was extrapolated nationwide using the fourth NDB Open Data (April 2017-March 2018), and the prevalence was estimated using demographic data as denominators. The prevalence in the US, considering the same definition of IPF, was also calculated and compared with that in Japan. RESULT: The number of patients with IPF in the MDV database was 4278. The estimated nationwide number of patients in Japan was estimated to be 34,040 (mean age: 73 years, percentage of men: 73%), and the prevalence was 27 per 100,000 population. In comparison with that in the US, the prevalence was similar in men and relatively lower in women until the age of 75-79 years, and it was notably lower in both sexes aged ≥ 80 years. CONCLUSIONS: We report the nationwide IPF prevalence in Japan using data from claims databases for the first time. The prevalence estimated in this study was higher than that reported in a previous study. The difference might be due to differences in study settings and definitions of IPF. Further research should be performed to determine the prevalence more accurately and compare it with those in other countries.

Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.

BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, using two common clinical rules, a clinical multimorbid index and a machine-learning (ML) approach, accounting for the complex relationships among variables, including the dynamic nature of changing risk factors. METHODS: We studied a prospective U.S. cohort of 3,435,224 patients from medical databases in a 2-year investigation. Stroke outcomes were examined in relationship to diverse multimorbid conditions, demographic variables, and other inputs, with ML accounting for the dynamic nature of changing multimorbidity risk factors, two clinical risk scores, and a clinical multimorbid index. RESULTS: Common clinical risk scores had moderate and comparable c indices with stroke outcomes in the training and external validation samples (validation-CHADS2: c index 0.812, 95% confidence interval [CI] 0.808-0.815; CHA2DS2-VASc: c index 0.809, 95% CI 0.805-0.812). A clinical multimorbid index had higher discriminant validity values for both the training/external validation samples (validation: c index 0.850, 95% CI 0.847-0.853). The ML-based algorithms yielded the highest discriminant validity values for the gradient boosting/neural network logistic regression formulations with no significant differences among the ML approaches (validation for logistic regression: c index 0.866, 95% CI 0.856-0.876). Calibration of the ML-based formulation was satisfactory across a wide range of predicted probabilities. Decision curve analysis demonstrated that clinical utility for the ML-based formulation was better than that for the two current clinical rules and the newly developed multimorbid tool. Also, ML models and clinical stroke risk scores were more clinically useful than the "treat all" strategy. CONCLUSION: Complex relationships of various comorbidities uncovered using a ML approach for diverse (and dynamic) multimorbidity changes have major consequences for stroke risk prediction. This approach may facilitate automated approaches for dynamic risk stratification in the significant presence of multimorbidity, helping in the decision-making process for risk assessment and integrated/holistic management.

The Association between Noninfectious Uveitis and Coronavirus Disease 2019 Outcomes: An Analysis of United States Claims-Based Data.

PURPOSE: To identify if noninfectious uveitis (NIU) is associated with a greater risk of Coronavirus Disease 2019 (COVID-19) infection, hospitalization, and death. DESIGN: A retrospective cohort study from January 20, 2020 to December 31, 2020, using a national claims-based database. PARTICIPANTS: Enrollees who had continuous enrollment with both medical and pharmacy coverage for 3 years before January 20, 2020. Patients with an NIU diagnosis within 3 years of the start of the study were included in the NIU cohort. Those with infectious uveitis codes or new NIU diagnoses during the risk period were excluded. METHODS: Cox proportional hazard models were used to identify unadjusted hazard ratios (HRs) and adjusted HRs for all covariates for each outcome measure. Adjusted models accounted for patient demographics, health status, and immunosuppressive medication use during the risk period. MAIN OUTCOME MEASURES: Rates of COVID-19 infection, COVID-19-related hospitalization, and COVID-19-related in-hospital death identified with International Classification of Disease 10th revision codes. RESULTS: This study included 5 806 227 patients, of whom 29 869 (0.5%) had a diagnosis of NIU. On unadjusted analysis, patients with NIU had a higher rate of COVID-19 infection (5.7% vs. 4.5%, P < 0.001), COVID-19-related hospitalization (1.2% vs. 0.6%, P < 0.001), and COVID-19-related death (0.3% vs. 0.1%, P < 0.001). However, in adjusted models, NIU was not associated with a greater risk of COVID-19 infection (HR, 1.05; 95% confidence interval [CI], 1.00-1.10; P = 0.04), hospitalization (HR, 0.98; 95% CI, 0.88-1.09; P = 0.67), or death (HR, 0.90, 95% CI, 0.72-1.13, P = 0.37). Use of systemic corticosteroids was significantly associated with a higher risk of COVID-19 infection, hospitalization, and death. CONCLUSIONS: Patients with NIU were significantly more likely to be infected with COVID-19 and experience severe disease outcomes. However, this association was due to the demographics, comorbidities, and medications of patients with NIU, rather than NIU alone. Patients using systemic corticosteroids were significantly more likely to be infected with COVID-19 and were at greater risk of hospitalization and in-hospital death. Additional investigation is necessary to identify the impact of corticosteroid exposure on COVID-19-related outcomes.

Acute care utilization risk among older adults living undiagnosed or unaware of dementia.

BACKGROUND: Dementia is associated with increased risk of hospitalization and emergency department (ED) visits. Many persons with dementia are undiagnosed or unaware of their diagnosis, however. Our objective was to determine whether undiagnosed dementia or unawareness affects risk of hospitalization or ED visits. METHODS: Retrospective longitudinal cohort study of 3537 community-living adults age ≥65 enrolled in the 2011-2017 National Health and Aging Trends Study with linked fee-for-service Medicare claims. Using self or proxy reported diagnosis, proxy dementia screening questionnaire, cognitive testing, and Medicare claims diagnosis, participants were classified as having (1) no dementia or dementia, for which they were classified as (2) undiagnosed, (3) diagnosed but unaware, or (4) diagnosed and aware. Proportional hazards models evaluated all-cause and potentially preventable hospitalization and ED visit risk by time-varying dementia status, adjusting for older adult characteristics. RESULTS: Most participants (n = 2879) had no dementia at baseline. Among participants with dementia at baseline (n = 658), 187 were undiagnosed, 300 diagnosed but unaware, and 171 diagnosed and aware. In multivariable adjusted proportional hazards models, persons with undiagnosed dementia had lower risk of hospitalization and ED visits compared to persons diagnosed and aware (all-cause hospitalization aHR 0.59 [0.44, 0.79] and ED visit aHR 0.63 [0.47, 0.85]) and similar risks of these outcomes compared to persons without dementia. Individuals diagnosed but unaware had greater risk compared to those without dementia: aHR 1.37 (1.18, 1.59) for all-cause hospitalization and 1.48 (1.28, 1.71) for ED visits; they experienced risk comparable to individuals diagnosed and aware. CONCLUSION: Older adults with undiagnosed dementia are not at increased risk of acute care utilization after accounting for differences in other characteristics. Individuals unaware of diagnosed dementia demonstrate risk similar to individuals aware of the diagnosis. Increasing diagnosis alone may not affect acute care utilization. The role of awareness warrants further investigation.

Periodontal Disease and Risk of Dementia in Medicare Patients with Hepatitis C Virus.

BACKGROUND: Periodontal disease and hepatitis C virus (HCV) represent chronic infectious states that are common in elderly adults. Both conditions have independently been associated with an increased risk for dementia. Chronic infections are thought to lead to neurodegenerative changes in the central nervous system possibly by promoting a proinflammatory state. This is consistent with growing literature on the etiological role of infections in dementia. Few studies have previously evaluated the association of periodontal disease with dementia in HCV patients. OBJECTIVE: To examine whether periodontal disease increases the risk of developing Alzheimer's disease and related dementias (ADRD) among HCV patients in Medicare claims data. METHODS: We used Medicare claims data for HCV patients to assess the incidence rate of ADRD with and without exposure to periodontal disease between 2014 and 2017. Cox multivariate regression was used to estimate the association between periodontal disease and development of ADRD, controlling for age, gender, race, ZIP-level income and education, and medical comorbidities. RESULTS: Of 439,760 HCV patients, the incidence rate of ADRD was higher in patients with periodontal diseases compared to those without (10.84% versus 9.26%, p < 0.001), and those with periodontal disease developed ADRD earlier compared to those without periodontal disease (13.99 versus 21.60 months, p < 0.001). The hazard of developing ADRD was 1.35 times higher in those with periodontal disease (95% CI, 1.30 to 1.40, p < 0.001) after adjusting for all covariates, including age. CONCLUSION: Periodontal disease increased the risk of developing ADRD among HCV patients in a national Medicare claims dataset.

Leveraging survey and claims data to identify high-need Medicare beneficiaries in the National Health and Aging Trends Study.

BACKGROUND: Multiple algorithms have been developed to identify and characterize the high-need (HN) Medicare population. However, they vary in components and yield different populations, and were developed for varying purposes. We compared the performance of existing survey and claims-based definitions in identifying HN beneficiaries and predicting poor outcomes among a community-dwelling population. METHODS: A retrospective cohort study using Round 5 (2015) of the National Health and Aging Trends Study (NHATS) linked with Medicare claims. We applied HN definitions from previous studies to our cohort of community-dwelling, fee-for-service beneficiaries (n = 4201) using sampling weights to obtain nationally representative estimates. The Bélanger et al. (2019) definition defines HN as individuals with complex conditions, multi-morbidity, acute and post-acute healthcare utilization, dependency in activities of daily living, and frailty. The Hayes et al. (2016) definition defines HN as individuals with 3+ chronic conditions and a functional limitation. We applied each definition to survey and claims data. Outcomes were hospitalization or mortality in the subsequent year. RESULTS: The proportion of NHATS respondents classified as HN varied greatly across definitions, ranging from 3.1% using the claims-based Hayes definition to 32.9% using the survey-based Bélanger definition. HN respondents had significantly higher mortality and hospitalization rates in 2016. Although all definitions had good specificity, none were able to predict outcomes in the following year with good accuracy. CONCLUSIONS: While mortality and hospitalization rates were significantly higher among respondents classified as HN, existing claims and survey-based HN definitions were not able to accurately predict future outcomes in a community-dwelling, nationally representative sample measured by the area under the curve.