Machine learning identifies factors most associated with seeking medical care for migraine: Results of the OVERCOME (US) study.

OBJECTIVE: Utilize machine learning models to identify factors associated with seeking medical care for migraine. BACKGROUND: Migraine is a leading cause of disability worldwide, yet many people with migraine do not seek medical care. METHODS: The web-based survey, ObserVational survey of the Epidemiology, tReatment and Care Of MigrainE (US), annually recruited demographically representative samples of the US adult population (2018-2020). Respondents with active migraine were identified via a validated diagnostic questionnaire and/or a self-reported medical diagnosis of migraine, and were then asked if they had consulted a healthcare professional for their headaches in the previous 12 months (i.e., "seeking care"). This included in-person/telephone/or e-visit at Primary Care, Specialty Care, or Emergency/Urgent Care locations. Supervised machine learning (Random Forest) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms identified 13/54 sociodemographic and clinical factors most associated with seeking medical care for migraine. Random Forest models complex relationships (including interactions) between predictor variables and a response. LASSO is also an efficient feature selection algorithm. Linear models were used to determine the multivariable association of those factors with seeking care. RESULTS: Among 61,826 persons with migraine, the mean age was 41.7 years (±14.8) and 31,529/61,826 (51.0%) sought medical care for migraine in the previous 12 months. Of those seeking care for migraine, 23,106/31,529 (73.3%) were female, 21,320/31,529 (67.6%) were White, and 28,030/31,529 (88.9%) had health insurance. Severe interictal burden (assessed via the Migraine Interictal Burden Scale-4, MIBS-4) occurred in 52.8% (16,657/31,529) of those seeking care and in 23.1% (6991/30,297) of those not seeking care; similar patterns were observed for severe migraine-related disability (assessed via the Migraine Disability Assessment Scale, MIDAS) (36.7% [11,561/31,529] vs. 14.6% [4434/30,297]) and severe ictal cutaneous allodynia (assessed via the Allodynia Symptom Checklist, ASC-12) (21.0% [6614/31,529] vs. 7.4% [2230/30,297]). Severe interictal burden (vs. none, OR 2.64, 95% CI [2.5, 2.8]); severe migraine-related disability (vs. little/none, OR 2.2, 95% CI [2.0, 2.3]); and severe ictal allodynia (vs. none, OR 1.7, 95% CI [1.6, 1.8]) were strongly associated with seeking care for migraine. CONCLUSIONS: Seeking medical care for migraine is associated with higher interictal burden, disability, and allodynia. These findings could support interventions to promote care-seeking among people with migraine, encourage assessment of these factors during consultation, and prioritize these domains in selecting treatments and measuring their benefits.

Use of electronic health data to identify patients with moderate-to-severe osteoarthritis of the hip and/or knee and inadequate response to pain medications.

BACKGROUND: No algorithms exist to identify important osteoarthritis (OA) patient subgroups (i.e., moderate-to-severe disease, inadequate response to pain treatments) in electronic healthcare data, possibly due to the complexity in defining these characteristics as well as the lack of relevant measures in these data sources. We developed and validated algorithms intended for use with claims and/or electronic medical records (EMR) to identify these patient subgroups. METHODS: We obtained claims, EMR, and chart data from two integrated delivery networks. Chart data were used to identify the presence or absence of the three relevant OA-related characteristics (OA of the hip and/or knee, moderate-to-severe disease, inadequate/intolerable response to at least two pain-related medications); the resulting classification served as the benchmark for algorithm validation. We developed two sets of case-identification algorithms: one based on a literature review and clinical input (predefined algorithms), and another using machine learning (ML) methods (logistic regression, classification and regression tree, random forest). Patient classifications based on these algorithms were compared and validated against the chart data. RESULTS: We sampled and analyzed 571 adult patients, of whom 519 had OA of hip and/or knee, 489 had moderate-to-severe OA, and 431 had inadequate response to at least two pain medications. Individual predefined algorithms had high positive predictive values (all PPVs ≥ 0.83) for identifying each of these OA characteristics, but low negative predictive values (all NPVs between 0.16-0.54) and sometimes low sensitivity; their sensitivity and specificity for identifying patients with all three characteristics was 0.95 and 0.26, respectively (NPV 0.65, PPV 0.78, accuracy 0.77). ML-derived algorithms performed better in identifying this patient subgroup (range: sensitivity 0.77-0.86, specificity 0.66-0.75, PPV 0.88-0.92, NPV 0.47-0.62, accuracy 0.75-0.83). CONCLUSIONS: Predefined algorithms adequately identified OA characteristics of interest, but more sophisticated ML-based methods better differentiated between levels of disease severity and identified patients with inadequate response to analgesics. The ML methods performed well, yielding high PPV, NPV, sensitivity, specificity, and accuracy using either claims or EMR data. Use of these algorithms may expand the ability of real-world data to address questions of interest in this underserved patient population.

Evaluating bias control strategies in observational studies using frequentist model averaging.

Estimating a treatment effect from observational data requires modeling treatment and outcome subject to uncertainty/misspecification. A previous research has shown that it is not possible to find a uniformly best strategy. In this article we propose a novel Frequentist Model Averaging (FMA) framework encompassing any estimation strategy and accounting for model uncertainty by computing a cross-validated estimate of Mean Squared Prediction Error (MSPE). We present a simulation study with data mimicking an observational database. Model averaging over 15+ strategies was compared with individual strategies as well as the best strategy selected by minimum MSPE. FMA showed robust performance (Bias, Mean Squared Error (MSE), and Confidence Interval (CI) coverage). Other strategies, such as linear regression, did well in simple scenarios but were inferior to the FMA in a scenario with complex confounding.

Evaluating different strategies for estimating treatment effects in observational studies.

Since the introduction of the propensity score (PS), methods for estimating treatment effects with observational data have received growing attention in the literature. Recent research has added substantially to the number of available statistical approaches for controlling confounding in such analyses. However, researchers need guidance to decide on the optimal analytic strategy for any given scenario. To address this gap, we conducted simulations evaluating both well-established methods (regression, PS weighting, stratification, and matching) and more recently proposed approaches (tree-based methods, local control, entropy balancing, genetic matching, prognostic scoring). The simulation scenarios included tree-based and smooth regression models as true data-generation mechanisms. We evaluated an extensive number of analysis strategies combining different treatment choices and outcome models. Key findings include 1) the lack of a single best strategy across all potential scenarios; 2) the importance of appropriately addressing interactions in the treatment choice model and/or outcome model; and 3) a tree-structured treatment choice model and a polynomial outcome model with second-order interactions performed well. One limitation to this initial assessment is the lack of heterogeneous simulation scenarios allowing treatment effects to vary by patient.

Healthcare costs and adherence associated with human regular U-500 versus high-dose U-100 insulin in patients with diabetes.

OBJECTIVE: Describe the characteristics, costs, and adherence of patients receiving human regular U-500 insulin (U-500R) compared with those of patients receiving high-dose (≥150 units/day) U-100 insulin. METHODS: Data from Truven Health MarketScan Research Databases, July 1, 2008, through December 31, 2010, were used. The U-100 cohort received ≥150 units/day of U-100 insulin for ≥31 days during the first 60 days after the index date. The U-500R cohort received ≥2 prescriptions of U-500R after the index date. Analyses were performed on propensity-matched cohorts. The changes in annualized costs were compared between the 2 cohorts using paired t tests. Adherence was assessed by the proportion of days covered (PDC) and compared using a 2-sample t test. Glycemic efficacy data were not available in this database. RESULTS: There were 1,044 U-500R-treated patients (19.1% with type 1 diabetes [T1D]) and 11,520 U-100-treated patients (23.8% with T1D) identified, from which 1,039 matched pairs were obtained. The mean decrease of $1,290 in annual pharmacy costs for the U-500R cohort was significantly different from the mean increase of $2,586 for the U-100 cohort (P<.001; 95% confidence interval, -$4,345 to -$3,422). More U-500R patients experienced hypoglycemia (17.3% vs. 11.8%; P<.001), but the hypoglycemia rate per person and related costs were not significantly different between cohorts. Finally, the mean 12-month PDC was 65.0% for U-500R versus 47.6% for U-100 patients (P<.0001). CONCLUSION: Compared with treatment with ≥150 units/day of U-100 insulin, treatment with U-500R was associated with decreases in pharmacy costs, a higher percentage of patients experiencing hypoglycemia, and greater treatment adherence.

Comparison of Treatment Patterns in Patients with Migraine Initiating Calcitonin Gene-Related Peptide Monoclonal Antibodies: A Retrospective Real-World US Study.

Background: Calcitonin gene-related peptide monoclonal antibodies (CGRP mAbs) are indicated for migraine prevention in the United States. Limited data comparing real-world treatment patterns for CGRP mAbs are available. Objective: To compare the treatment patterns among patients with migraine initiating galcanezumab, fremanezumab, and erenumab. Methods: This retrospective study included adult patients with one or more claims for a self-injectable CGRP mAb (galcanezumab, fremanezumab, or erenumab), with continuous enrollment in medical and pharmacy benefits for 12 months pre-index and 6 and 12 months post-index using MerativeTM MarketScan® Commercial and Medicare databases from May 2017 through March 2021. Propensity-score matching was used to address confounding by observed covariates. Outcomes analyzed included proportion of days covered (PDC), medication-possession ratio (MPR), persistence (≤60-day gap), treatment discontinuation, and switch to a non-index drug. Descriptive X2 and t-test analyses were conducted. Results: At the 12-month follow-up, matched galcanezumab and fremanezumab cohorts each comprised 2674 patients and the galcanezumab and erenumab cohorts 3503 each. The mean (SD) PDC and MPR were both 0.6 (0.3) across all cohorts. Based on PDC ≥0.80 and MPR ≥0.80, a greater proportion of galcanezumab vs fremanezumab (46.2% vs 43.7%, p=0.053; 46.8% vs 44.3%, p=0.053) and galcanezumab vs erenumab (46.2% vs 44%, p=0.156; 46.7% vs 44.5%, p=0.262), respectively, initiators were adherent. Compared to galcanezumab, fremanezumab (248.0 days vs 236.5 days, p=0.001), and erenumab (247.8 days vs 241.7 days, p=0.061) initiators had lower mean persistence. Galcanezumab initiators were less likely to discontinue treatment than fremanezumab (47.8% vs 51.7%, p=0.005) and erenumab (47.7% vs 50.2%, p=0.040) initiators. Across cohorts, most switchers initiated onabotulinum toxin A as subsequent treatment. Similar results were observed for 6-month follow-up cohorts. Conclusion: Patients with migraine who initiated treatment with galcanezumab showed higher persistence and lower treatment discontinuation rates than those initiating either fremanezumab or erenumab.

Underrecognition of migraine-related stigmatizing attitudes and social burden: Results of the OVERCOME Japan study.

INTRODUCTION: Migraine-related stigma (MiRS) and social burden is increasingly recognized. We assessed perspectives and attitudes toward migraine in people with and without migraine in Japan. METHODS: OVERCOME (Japan) was a cross-sectional, population-based web survey of people with and without migraine (July-September 2020). People with migraine were individuals who met the modified International Classification of Headache Disorders criteria or had self-reported physician-diagnosed migraine. People without migraine were selected per quota sampling to represent the Japanese adult population. People with migraine reported their experiences on stigma and social burden and answered how frequently they experienced stigma using the MiRS questionnaire. Associations between MiRS and disability and MiRS and interictal burden were examined using the migraine disability assessment and Migraine Interictal Burden Scale-4. People without migraine reported their experiences and attitudes toward people with migraine by answering an 11-item attitudinal migraine questionnaire. RESULTS: A total of 17,071 and 2008 people with and without migraine, respectively, completed the survey. Overall, 11,228 (65.8%) respondents with migraine reported that they have never experienced stigma or burden; however, of the 12,383 employed respondents, 5841 (47.2%) reported that their current employers are not "extremely" or "very" understanding about their conditions. Moreover, ∼30%-40% of respondents "sometimes," "often," or "very often" hid their migraine from others. The proportion of respondents who experienced stigma often or very often, as assessed by MiRS, was 16.5%; this increased with the increasing number of monthly migraine headache days. The proportion of respondents with moderate-to-severe disability and interictal burden increased with increasing stigma. Among respondents without migraine, the proportion holding a stigmatizing attitude toward those with migraine was low (<15%); ∼80% had never experienced work- or family-related stigma or burden. CONCLUSION: MiRS and burden exist but may be hidden and underrecognized in Japan. Disease awareness and education may be important to prevent and reduce stigma and burden.

Incidence of type 2 diabetes, cardiovascular disease and chronic kidney disease in patients with multiple sclerosis initiating disease-modifying therapies: Retrospective cohort study using a frequentist model averaging statistical framework.

Researchers are increasingly using insights derived from large-scale, electronic healthcare data to inform drug development and provide human validation of novel treatment pathways and aid in drug repurposing/repositioning. The objective of this study was to determine whether treatment of patients with multiple sclerosis with dimethyl fumarate, an activator of the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway, results in a change in incidence of type 2 diabetes and its complications. This retrospective cohort study used administrative claims data to derive four cohorts of adults with multiple sclerosis initiating dimethyl fumarate, teriflunomide, glatiramer acetate or fingolimod between January 2013 and December 2018. A causal inference frequentist model averaging framework based on machine learning was used to compare the time to first occurrence of a composite endpoint of type 2 diabetes, cardiovascular disease or chronic kidney disease, as well as each individual outcome, across the four treatment cohorts. There was a statistically significantly lower risk of incidence for dimethyl fumarate versus teriflunomide for the composite endpoint (restricted hazard ratio [95% confidence interval] 0.70 [0.55, 0.90]) and type 2 diabetes (0.65 [0.49, 0.98]), myocardial infarction (0.59 [0.35, 0.97]) and chronic kidney disease (0.52 [0.28, 0.86]). No differences for other individual outcomes or for dimethyl fumarate versus the other two cohorts were observed. This study effectively demonstrated the use of an innovative statistical methodology to test a clinical hypothesis using real-world data to perform early target validation for drug discovery. Although there was a trend among patients treated with dimethyl fumarate towards a decreased incidence of type 2 diabetes, cardiovascular disease and chronic kidney disease relative to other disease-modifying therapies-which was statistically significant for the comparison with teriflunomide-this study did not definitively support the hypothesis that Nrf2 activation provided additional metabolic disease benefit in patients with multiple sclerosis.

Migraine-Related Stigma and Its Relationship to Disability, Interictal Burden, and Quality of Life: Results of the OVERCOME (US) Study

BACKGROUND AND OBJECTIVES: This population-based analysis characterizes the relative frequency of migraine-related stigma and its cross-sectional relationship to migraine outcomes. We hypothesized that migraine-related stigma would be inversely associated with favorable migraine outcomes across headache day categories. METHODS: OVERCOME (US) is a web-based observational study that annually recruited a demographically representative US sample and then identified people with active migraine using a validated migraine diagnostic questionnaire. It also assessed how frequently respondents experienced migraine-related stigma using a novel 12-item questionnaire (Migraine-Related Stigma, MiRS) that contained 2 factors; feeling that others viewed migraine as being used for Secondary Gain (8 items, α = 0.92) and feeling that others were Minimizing disease Burden (4 items, α = 0.86). We defined 5 groups: (1) MiRS-Both (Secondary Gain and Minimizing Burden often/very often; (2) MiRS-SG (Secondary Gain often/very often); (3) MiRS-MB (Minimizing Burden often/very often); (4) MiRS-Rarely/Sometimes; (5) MiRS-Never. Using MiRS group as the independent variable, we modeled its cross-sectional relationship to disability (Migraine Disability Assessment, MIDAS), interictal burden (Migraine Interictal Burden Scale-4), and migraine-specific quality of life (Migraine Specific Quality of Life v2.1 Role Function-Restrictive) while controlling for sociodemographics, clinical features, and monthly headache day categories. RESULTS: Among this population-based sample with active migraine (n = 59,001), mean age was 41.3 years and respondents predominantly identified as female (74.9%) and as White (70.1%). Among respondents, 41.1% reported experiencing, on average, ≥4 monthly headache days and 31.7% experienced migraine-related stigma often/very often; the proportion experiencing migraine-related stigma often/very often increased from 25.5% among those with <4 monthly headache days to 47.5% among those with ≥15 monthly headache days. The risk for increased disability (MIDAS score) was significant for each MiRS group compared with the MiRS-Never group; the risk more than doubled for the MiRS-Both group (rate ratio 2.68, 95% CI 2.56-2.80). For disability, interictal burden, and migraine-specific quality of life, increased migraine-related stigma was associated with increased disease burden across all monthly headache day categories. DISCUSSION: OVERCOME (US) found that 31.7% of people with migraine experienced migraine-related stigma often/very often and was associated with more disability, greater interictal burden, and reduced quality of life.

Hypoglycaemic events in patients with type 2 diabetes in the United Kingdom: associations with patient-reported outcomes and self-reported HbA1c.

BACKGROUND: One possible barrier to effective diabetes self-management is hypoglycaemia associated with diabetes medication. The current study was conducted to characterize hypoglycaemic events among UK patients with type 2 diabetes (T2D) treated with antihyperglycaemic medications, and assess the relationship between experience of hypoglycaemic events and health outcomes, including glycaemic control, health-related quality of life, impairment to work and non-work activities, treatment satisfaction, adherence to treatment, fear of hypoglycaemia, and healthcare resource use. METHODS: An online survey of 1,329 T2D patients in UK drawn from an opt-in survey panel was conducted in February of 2012 with monthly follow-up questionnaires for five months. Measures included self-reported HbA1c, EQ-5D, Work Productivity and Activity Impairment questionnaire, Diabetes Medication Satisfaction Tool, Morisky medication adherence scale, the Hypoglycaemia Fear Survey (revised), and self-reported healthcare resource use. Comparisons were conducted using t-tests and chi-square tests for continuous and categorical variables, respectively. RESULTS: Baseline comparisons showed that worse HbA1c, greater diabetes-related healthcare resource use, greater fear of hypoglycaemia, and impaired health outcomes were associated with experience of hypoglycaemia in the four weeks prior to baseline. Longitudinal results were similar in direction but differences on few measures were significant. CONCLUSIONS: In real-world UK T2D patients, hypoglycaemia is associated with worse self-reported glycaemic control, behaviours that contribute to worse glycaemic control, and impairment in patient-reported outcomes.

Disease progression and costs at the 3-year follow-up of the GERAS-US study.

Introduction: GERAS-US prospectively characterized clinical and economic outcomes of early symptomatic Alzheimer's disease (AD). Societal cost changes were examined in amyloid-positive patients with mild cognitive impairment due to AD (MCI) and mild dementia due to AD (MILD). Methods: Cognition, function, and caregiver burden were assessed using Mini-Mental State Examination (MMSE), Cognitive Function Index (CFI), and Zarit Burden Interview, respectively. Costs are presented as least square mean for the overall population and for MCI versus MILD using mixed model repeated measures. Results: MMSE score and CFI worsened. Total societal costs (dollars/month) for MCI and MILD, respectively, were higher at baseline ($2430 and $4063) but steady from 6 ($1977 and $3032) to 36 months ($2007 and $3392). Direct non-medical costs rose significantly for MILD. Caregiver burden was higher for MILD versus MCI at 12, 18, and 24 months. Discussion: Function and cognition declined in MILD. Non-medical costs reflect the increasing impact of AD even in its early stages. HIGHLIGHTS: In the GERAS-US study, total societal costs for patients with mild cognitive impairment due to Alzheimer's disease (MCI) and mild dementia due to Alzheimer's disease (MILD) were higher at baseline but steady from 6 to 36 months.Mini-Mental State Examination (MMSE) and Cognitive Function Index (CFI) worsened; the rate of decline was significant for patients with MILD but not for those with MCI.There was a rise in direct non-medical costs at 36 months for patients with MILD.Caregiver burden was higher for MILD versus MCI at 12, 18, and 24 months.Slowing the rate of disease progression in this early symptomatic population may allow patients to maintain their ability to carry out everyday activities longer.

Racial variation in healthcare resource utilization and expenditures in knee/hip osteoarthritis patients: a retrospective analysis of a Medicaid population.

BACKGROUND: Osteoarthritis (OA) is a leading cause of chronic pain and disability. Prior studies have documented racial disparities in the clinical management of OA. The objective of this study was to assess the racial variations in the economic burden of osteoarthritis within the Medicaid population. METHODS: We conducted a retrospective observational study using the MarketScan Multi-State Medicaid database (2012-2019). Newly diagnosed, adult, knee and/or hip OA patients were identified and followed for 24 months. Demographic and clinical characteristics were collected at baseline; outcomes, including OA treatments and healthcare resource use (HCRU) and expenditures, were assessed during the 24-month follow-up. We compared baseline patient characteristics, use of OA treatments, and HCRU and costs in OA patients by race (White vs. Black; White vs. Other) and evaluated racial differences in healthcare costs while controlling for underlying differences. The multivariable models controlled for age, sex, population density, health plan type, presence of non-knee/hip OA, cardiovascular disease, low back pain, musculoskeletal pain, presence of moderate to severe OA, and any pre-diagnosis costs. RESULTS: The cohort was 56.7% White, 39.9% Black and 3.4% of Other race (American Indian/Alaska Native, Hispanic, Asian, Native Hawaiian/Other Pacific Islander, two or more races and other). Most patients (93.8%) had pharmacologic treatment for OA. Inpatient admission during the 24-month follow-up period was lowest among Black patients (25.8%, p < .001 White vs. Black). In multivariable-adjusted models, mean all-cause expenditures were significantly higher in Black patients ($25,974) compared to White patients ($22,913, p < .001). There were no significant differences between White patients and patients of Other race ($22,352). CONCLUSIONS: The higher expenditures among Black patients were despite a lower rate of inpatient admission in Black patients and comparable length and number of hospitalizations in Black and White patients, suggesting that other unmeasured factors may be driving the increased costs among Black OA patients.

Higher healthcare costs were observed in Black Medicaid patients with knee/hip osteoarthritis despite lower rates of inpatient admission. We observed these differences in this Medicaid population, where socioeconomic status is more homogeneous.Black patients had significantly higher healthcare costs compared to White patients and the difference persisted even after accounting for underlying differences in Black and White patients.Higher healthcare costs among Black patients were found in both the baseline and follow-up periods overall for all types of healthcare (hospitalizations, ER, office visit, other services).Higher hospitalization costs in Black patients were observed despite lower rates of hospitalizations in Black patients. These increased costs cannot be attributed to either longer or more frequent hospitalizations; no significant difference in either the length of stay or the number of hospitalizations was observed when comparing Black patients to White patients.

Outcomes and Factors Associated with Insufficient Effectiveness of Acute Treatments of Migraine in Japan: Results of the ObserVational survey of the Epidemiology, tReatment, and Care Of MigrainE (OVERCOME [Japan]) Study.

BACKGROUND: Knowledge of patient outcomes and treatment effectiveness associated with acute migraine treatments in Japan is lacking. OBJECTIVE: To describe patient-reported outcomes (PROs) and treatment effectiveness in three acute treatment groups from OVERCOME (Japan): over-the-counter (OTC) only, prescription nonsteroidal anti-inflammatory drugs/acetaminophen (Rx-NSAIDs/ACE) only, and triptans. METHODS: OVERCOME (Japan) was an observational, cross-sectional, population-based web survey of people with migraine (July-September 2020). PROs, including the Migraine-Specific Quality of Life Questionnaire (MSQ), Migraine Interictal Burden Scale (MIBS-4), Migraine Disability Assessment (MIDAS), and Work Productivity and Activity Impairment Questionnaire: Migraine (WPAI-M), were compared pairwise between treatment groups. Logistic regression was used to examine treatment effectiveness. RESULTS: The analysis included 9075 survey respondents (OTC only: n = 5791; Rx-NSAIDs/ACE only: n = 751; triptans: n = 2533). Triptan users reported the lowest MSQ scores, most severe disability (MIDAS: 20.7% versus 6.3% and 11.6%) and severe interictal burden (MIBS-4: 50.1% versus 21.2% and 19.8%), and greatest work impairment (WPAI-M: 50.4% versus 32.2% and 30.8%) compared with the OTC and Rx-NSAIDs/ACE groups, respectively. Treatment effectiveness was very poor-to-poor for 60.9%, 43.1%, and 47.6% of the triptan, OTC, and Rx-NSAIDs/ACE groups, respectively. Severe interictal burden was significantly associated with insufficient treatment effectiveness (odds ratios, severe versus no burden: 0.47 [95% confidence interval: 0.40-0.54], 0.56 [0.35-0.89], and 0.41 [0.32-0.52], for the OTC, Rx-NSAIDs/ACE, and triptan groups, respectively). CONCLUSION: People with high migraine burden used triptans for acute treatment, but many reported poor treatment effectiveness. Education may be required to promote better treatments, including earlier introduction of migraine-specific acute and preventive medications.

Rationale and design of the multinational observational study assessing insulin use: the MOSAIc study.

BACKGROUND: Although consensus guidelines recommend insulin progression among patients with type 2 diabetes (T2DM) who fail to meet glycemic targets over time, many fewer patients are progressed than may benefit. We describe the rationale and design of the MOSAIc (Multinational Observational Study Assessing Insulin use) study, a multinational observational cohort study to identify patient-, physician, and health care environment-based factors associated with insulin progression for patients with T2DM in real-world practice. METHODS/DESIGN: We will enroll 4,500 patients with T2DM taking initial insulin therapy for ≥3 months across 175 physician practice sites in 18 countries. Extensive demographic, clinical, and psychosocial data at the patient and physician level and practice site characteristics will be collected at baseline and regular intervals during a 24-month follow-up period. We will use a multivariable logistic regression model to identify predictors of insulin progression and highlight potential opportunities for health behavior intervention to improve insulin progression rates. Secondary outcomes include evaluating factors associated with glycemic control, hypoglycemia, and treatment adherence among patients who do and do not progress beyond their initial insulin therapy and exploring geographic heterogeneity in treatment. DISCUSSION: Practice site and patient recruitment began in 2011 and baseline data will be available in late 2012. The MOSAIC study's longitudinal observational design as well as the breadth and depth of data will be used to explore and quantify predictors of insulin progression and to identify potential opportunities for health behavior intervention in order to improve T2DM treatment and clinical outcomes.

Burden of Migraine in Japan: Results of the ObserVational Survey of the Epidemiology, tReatment, and Care Of MigrainE (OVERCOME [Japan]) Study.

INTRODUCTION: The ObserVational survey of the Epidemiology, tReatment, and Care Of MigrainE study in Japan (OVERCOME [Japan]) assessed the impact and burden of migraine in Japan. METHODS: OVERCOME (Japan) was a cross-sectional, observational, population-based web survey of Japanese people with migraine conducted between July and September 2020. The burden and impact of migraine were assessed using the Migraine Disability Assessment (MIDAS), Migraine-Specific Quality-of-Life Questionnaire (MSQ), Migraine Interictal Burden Scale (MIBS-4), and Work Productivity and Activity Impairment-Migraine scale. Results were stratified by average number of monthly headache days (0-3, 4-7, 8-14, ≥ 15). RESULTS: In total, 17,071 Japanese people with migraine completed the survey. Of these, 14,033 (82.2%) met International Classification of Headache Disorders, 3rd edition criteria for migraine and 9667 (56.6%) reported a physician diagnosis of migraine. Overall, 20.7% of respondents experienced moderate-to-severe disability (MIDAS). Moderate-to-severe interictal burden (MIBS-4) was experienced by 41.5% of respondents. MSQ scores in all domains were lowest in respondents with the most frequent headaches (≥ 15 monthly headache days) and highest in those with the lowest frequency headaches (≤ 3 monthly headache days), indicating poorer quality of life in those with more frequent headaches. Work time missed due to migraine (absenteeism) increased with increasing headache frequency, from 3.8 to 6.2%; presenteeism affected 29.8-49.9% of work time. Although migraine burden was greatest in people with the most frequent headaches, those with the lowest headache frequency still experienced substantial disability, interictal burden, and impacts on productivity and quality of life. There was also substantial unmet need for migraine care: 36.5% of respondents had ever hesitated to seek medical care for their headaches, and 89.8% had never used preventive medication. CONCLUSION: In Japan, the burden of migraine and barriers to migraine care are substantial. Improving patient awareness and healthcare provider vigilance may help improve patient outcomes.

Potential Unmet Needs in Acute Treatment of Migraine in Japan: Results of the OVERCOME (Japan) Study.

INTRODUCTION: Using data from the ObserVational survey of the Epidemiology, tReatment, and Care Of MigrainE study in Japan (OVERCOME [Japan]), we describe the current status of the acute treatment of migraine in Japan. METHODS: OVERCOME (Japan) was a cross-sectional, observational, population-based web survey of people with migraine in Japan (met modified International Classification of Headache Disorders criteria or had a physician diagnosis of migraine) conducted between July and September 2020. Respondents reported current acute medication use and effectiveness (assessed using the Migraine Treatment Optimization Questionnaire [mTOQ-4]). Cardiovascular history and risk factors of the respondents were also recorded. Potential unmet acute treatment needs were defined as insufficient effect of current acute treatments (mTOQ-4 score ≤ 5), a history of oral triptan use (and not currently taking any triptan), potential contraindications to triptans due to cardiovascular comorbidities, and/or cardiovascular risk factors. RESULTS: In total, 17,071 people with migraine in Japan completed the survey; 14,869 (87.1%) of these were currently using acute treatments. Poor effectiveness of current acute treatment was reported by 7170 respondents (42.0%), 900 respondents (5.3%) were former triptan users, 1759 (10.3%) had contraindications to triptans, and 9026 (52.9%) reported at least one cardiovascular risk factor. Overall, 12,649 (74.1%) of OVERCOME (Japan) respondents were categorized into one or more of these groups and were considered to have potential unmet acute treatment needs. CONCLUSION: Almost three-quarters of people with migraine in Japan may have potential unmet needs for acute treatment of migraine. There are substantial opportunities for improving care for people with migraine in Japan, including prescription of novel acute medications.

Comprehensive population-based survey of migraine in Japan: results of the ObserVational Survey of the Epidemiology, tReatment, and Care Of MigrainE (OVERCOME [Japan]) study.

OBJECTIVE: The ObserVational survey of the Epidemiology, tReatment, and Care Of MigrainE study in Japan (OVERCOME [Japan]) aimed to provide an up-to-date assessment of migraine epidemiology in Japan. METHODS: OVERCOME (Japan) was a cross-sectional, population-based web survey of Japanese adults recruited from consumer panels. People with active migraine (met modified International Classification of Headache Disorders, 3rd edition [ICHD-3] criteria or had a self-reported physician diagnosis of migraine) answered questions about headache features, physician consultation patterns, and migraine medication use. The burden and impact of migraine were assessed using Migraine Disability Assessment (MIDAS) and Work Productivity and Activity Impairment scales. RESULTS: In total, 231,747 respondents accessed the screener, provided consent, and were eligible for the survey. The migraine group included 17,071 respondents (mean ± SD age 40.7 ± 13.0 years; 66.5% female). ICHD-3 migraine criteria were met by 14,033 (82.2%) respondents; 9667 (56.6%) self-reported a physician diagnosis of migraine. The mean number of monthly headache days was 4.5 ± 5.7 and pain severity (0-10 scale) was 5.1 ± 2.2. In the migraine group, 20.7% experienced moderate to severe migraine-related disability (MIDAS score ≥ 11). Work productivity loss was 36.2% of work time missed, including 34.3% presenteeism. Only 57.4% of respondents had ever sought medical care for migraine/severe headache. Most respondents (75.2%) were currently using over-the-counter medications for migraine; 36.7% were using prescription nonsteroidal anti-inflammatory drugs, and only 14.8% were using triptans. Very few (9.2%) used preventive medications. CONCLUSIONS: Unmet needs for migraine health care among people with migraine in Japan include low rates of seeking care and suboptimal treatment.

Occurrence of impaired fasting glucose in GH-deficient adults receiving GH replacement compared with untreated subjects.

OBJECTIVE: The effects of GH replacement on glucose metabolism in GH-deficient (GHD) adults in clinical practice are not well defined. Therefore, we assessed GH treatment effects on fasting plasma glucose (FPG) and haemoglobin A1c (A1c) concentrations in GHD adults in a clinical setting. DESIGN: Post-hoc analysis of the observational Hypopituitary Control and Complications Study conducted at 157 US centres (1997-2002). PATIENTS: GH-deficient adults who were GH-naïve at study entry and had at least two FPG measurements. MEASUREMENTS: Effect of GH treatment on the frequency and time course of abnormal FPG (> or =5.6 mmol/l) development, FPG normalization, progression of increased FPG and abnormal follow-up A1c (>6%) values in GHD patients treated with GH (n = 403) or untreated (n = 169) at their physician's discretion. RESULTS: In subjects without pre-existing diabetes mellitus, development of an abnormal FPG tended to occur in a greater percentage of GH-treated than untreated subjects (35.3% versus 24.5, P = 0.06). Additionally, GH treatment was associated with a mild, transient increase in FPG and shorter time to development of an abnormal FPG in these subjects (P < 0.01). Most ( approximately 80%) abnormal FPG values were below 7 mmol/l and normalized in 69% of GH-treated subjects without diabetes. Treatment with GH had no effect on the rate of FPG normalization, progression of increased FPG or abnormal follow-up A1c values. CONCLUSIONS: Initiation of GH replacement in GHD adults was associated with a mild increase in FPG that often normalized spontaneously. Nevertheless, clinicians should monitor FPG in patients receiving GH treatment.

Costs of Early Stage Alzheimer's Disease in the United States: Cross-Sectional Analysis of a Prospective Cohort Study (GERAS-US)1.

BACKGROUND: Costs associated with early stages of Alzheimer's disease (AD; mild cognitive impairment [MCI] and mild dementia [MILD]) are understudied. OBJECTIVE: To compare costs associated with MCI and MILD due to AD in the United States. METHODS: Data included baseline patient/study partner medical history, healthcare resource utilization, and outcome assessments as part of a prospective cohort study. Direct, indirect, and total societal costs were derived by applying standardized unit costs to resources for the 1-month pre-baseline period (USD2017). Costs/month for MCI and MILD cohorts were compared using analysis of variance models. To strengthen the confidence of diagnosis, amyloid-ß (Aß) tests were included and analyses were replicated stratifying within each cohort by amyloid status [+ /-]. RESULTS: Patients (N = 1327) with MILD versus MCI had higher total societal costs/month ($4243 versus $2816; p < 0.001). These costs were not significantly different within each severity cohort by amyloid status. The largest fraction of overall costs were informal caregiver costs (45.1%) for the MILD cohort, whereas direct medical patient costs were the largest for the MCI cohort (39.0%). Correspondingly, caregiver time spent on basic activities of daily living (ADLs), instrumental ADLs, and supervision time was twice as high for MILD versus MCI (all p < 0.001). CONCLUSION: Early AD poses a financial burden, and despite higher functioning among those with MCI, caregivers were significantly impacted. The major cost driver was the patient's clinical cognitive-functional status and not amyloid status. Differences were primarily due to rising need for caregiver support.

Observation of Patient and Caregiver Burden Associated with Early Alzheimer's Disease in the United States: Design and Baseline Findings of the GERAS-US Cohort Study1.

BACKGROUND: Alzheimer's disease (AD) is one of the costliest diseases in the United States. OBJECTIVE: To describe aspects of real-world patient and caregiver burden in patients with clinician-diagnosed early AD, including mild cognitive impairment (MCI) and mild dementia (MILD) due to AD. METHODS: Cross-sectional assessment of GERAS-US, a 36-month cohort study of patients seeking care for early AD. Eligible patients were categorized based on study-defined categories of MCI and MILD and by amyloid positivity [+] or negativity [-] within each severity cohort. Demographic characteristics, health-related outcomes, medical history, and caregiver burden by amyloid status are described. RESULTS: Of 1,198 patients with clinician-diagnosed early AD, 52% were amyloid[+]. For patients in both cohorts, amyloid[-] was more likely to occur in those with: delayed time to an AD-related diagnosis, higher rates of depression, poorer Bath Assessment of Subjective Quality of Life in Dementia scores, and Hispanic/Latino ethnicity (all p < 0.05). MILD[-] patients (versus MILD[+]) were more medically complex with greater rates of depression (55.7% versus 40.4%), sleep disorders (34.3% versus 26.5%), and obstructive pulmonary disease (11.8% versus 6.6%); and higher caregiver burden (Zarit Burden Interview) (all p < 0.05). MILD[+] patients had lower function according to the Functional Activities Questionnaire (p < 0.001), yet self-assessment of cognitive complaints across multiple measures did not differ by amyloid status in either severity cohort. CONCLUSIONS: Considerable patient and caregiver burden was observed in patients seeking care for memory concerns. Different patterns emerged when both disease severity and amyloid status were evaluated underscoring the need for further diagnostic assessment and care for patients.Study Registry:H8A-US-B004; ClinicalTrials.gov: NCT02951598.