Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain.

STUDY OBJECTIVES: To assess the feasibility of using the SF-36v2 mental health (MH) and mental component summary (MCS) scores for classification of risk for major depressive disorder (MDD), and to determine cut-off scores based on the sensitivity and specificity in a general US representative sample, and a chronic pain subpopulation. METHODS: Data were analyzed from the 2013 US National Health and Wellness Survey (adults 18 y old and above; N=75,000), and among a chronic pain subpopulation (n=6679). Risk of MDD was a score ≥10 on the Patient Health Questionnaire (PHQ-9). Logistic regression modeling was used to predict at risk for MDD and receiver operating characteristic curves were produced. RESULTS: The total sample had MH scores of 48.8 and MCS scores of 48.9, similar to the normative US population mean. Percent of respondents with a PHQ-9≥10 were 15.0% and 29.1% for the total sample and chronic pain subpopulation, respectively. Cut-off scores (PHQ-9≥10) in the total sample for the MH and MCS were 43.0 and 46.0, respectively. Specificities for the MH and MCS were 77.8% and 76.1%; sensitivities were 84.9% and 88.1%, respectively. Among the subpopulation with chronic pain, cut-off scores for the MH and MCS were 40.4 and 43.1, respectively. Corresponding specificities for the MH and MCS were 77.9% and 73.9%; sensitivities were 78.3% and 83.4%, respectively. CONCLUSIONS: The SF-36v2 was found to have sufficient specificity and sensitivity to categorize participants at risk for MDD. If no depression questionnaire is available, it is feasible to use the SF-36v2 to characterize the MH of populations.

The Burden of Undiagnosed Opioid Abuse Among Commercially Insured Individuals.

OBJECTIVES: Estimate the prevalence and healthcare costs of undiagnosed opioid abuse among commercially insured individuals. STUDY DESIGN: Retrospective analysis of de-identified pharmacy and medical claims data and publicly-available survey data (no IRB approval required). METHODS: This study focused on commercially insured individuals. Rates of prescription pain-reliever abuse/dependence ("abuse") among individuals ages ≥12 were calculated using National Survey on Drug Use and Health (NSDUH) public-use data for 2006-2011 and assumed to capture both diagnosed and undiagnosed opioid abuse. Rates of undiagnosed opioid abuse were calculated as the difference between NSDUH rates and published rates of diagnosed opioid abuse. OptumHealth Reporting and Insights claims data were used to estimate the healthcare costs of undiagnosed abuse. Diagnosed abusers ages 12-64 were identified using ICD-9-CM diagnosis codes for opioid abuse/dependence. Pre-diagnosis costs were assumed to be a proxy for undiagnosed opioid abuse costs. The ratio of undiagnosed to diagnosed abuse costs was calculated as the ratio of annual per-patient healthcare costs between pre-diagnosis and post-diagnosis periods. RESULTS: While rates of diagnosed opioid abuse among commercially insured individuals increased from 0.07% in 2006 to 0.19% in 2011, rates of undiagnosed abuse decreased from 0.42% to 0.38% over the same time period. Annual per-patient healthcare costs of undiagnosed abusers were 69.2% of those of diagnosed abusers. CONCLUSIONS: Per-patient healthcare costs of undiagnosed abusers among the commercially insured are estimated to be lower than those of diagnosed abusers. However, the higher prevalence of undiagnosed opioid abuse implies that undiagnosed abuse represents a substantial burden to commercial payers.

Predicting medication persistence to buprenorphine transdermal system.

OBJECTIVES: Persistence, the duration a patient remains on therapy, in chronic, symptomatic conditions plays an important role in therapy effectiveness. Understanding the duration and patient factors associated with prescribed medication persistence is, therefore, an important step toward better treatment and health outcomes for patients. In the following study, an analysis of such factors associated with buprenorphine transdermal system (BTDS) persistence was conducted utilizing a large US private practitioner and pharmacy claims database and is herein reported. METHODS: Patients aged ≥ 18 years initiating BTDS during January 1, 2011-November 30, 2011 were identified in the IMS Private Practitioner Medical Claims and Pharmacy Claims databases. An index date was defined as the first prescription of BTDS during the studied interval. During the preindex period, Charlson Comorbidity Index (CCI), chronic pain-related conditions, and prior medication use were assessed. Concomitant medications and various treatment patterns (eg, last dose strength and dose adjustments) were assessed in the postindex 6-month period. Persistence was measured as the duration of BTDS from initiation to the 1st >28-day refill gap in the postindex 6-month period. Descriptive statistical and survival analysis was used to assess the predictors of BTDS persistence. RESULTS: During the study period, 10,457 patients newly treated with BTDS were identified. Patients' mean (± SD) age was 54.5 (± 15.2) years; 69.9% were women, and the mean (± SD) CCI was 1 (± 1.4). Utilizing a hierarchical approach, patients were separated into different cohorts based on the initial analgesic prescription identified during postindex period with 91.7%, 34.7%, and 59.0% of the patients using opioids, NSAIDs and adjuvant analgesics, respectively. Multivariate regression analyses showed that patients with prior opioid and adjuvant analgesic use were 21% and 5% less likely to discontinue BTDS (P < 0.05), respectively, as compared to patients not using these agents. Patients with concomitant use of adjuvant analgesics were 15% less likely to discontinue therapy (P < 0.05) as compared to patients without concomitant use of these agents. Long-term BTDS persistence was also observed in patients who had a dose change or a last dose strength >5 mcg/hour. Sensitivity analyses for those with 30-day prior opioid use and patients with ≥ 2 claims of BTDS confirmed these findings. CONCLUSIONS: Prior and concomitant use of adjuvant analgesics, prior use of opioids, and dose adjustments were associated with significantly longer persistence among patients initiating BTDS. The results suggest that patients are less likely to discontinue BTDS early if practitioners account for prior treatment history and dose titration.

Increased Risk of New-Onset Hypertension in Patients With Narcolepsy Initiating Sodium Oxybate: A Real-World Study.

OBJECTIVE: To compare intermediate-term risk of new-onset hypertension between normotensive patients with narcolepsy initiating sodium oxybate (SXB cohort) and those not initiating sodium oxybate (control cohort). PATIENTS AND METHODS: This retrospective cohort study used MarketScan administrative claims data from January 1, 2014, to February 29, 2020. Eligible patients were 18 years of age or older with continuous enrollment (≥180 days before and after cohort entry), had one or more narcolepsy claims or a prescription fill for sodium oxybate, had no history of hypertension or antihypertensive medication use, and had no use of sodium oxybate within 13 months before cohort entry. Patients in the SXB and control cohorts were matched 1:2 for the propensity score to balance baseline characteristics. End points were (1) a composite of new-onset hypertension diagnosis or antihypertensive medication initiation and (2) new-onset hypertension diagnosis. Patients were monitored for 180 days, until outcome occurrence, sodium oxybate discontinuation (SXB cohort), or sodium oxybate initiation (control cohort). Risk per 100 patients was reported; differences were evaluated using logistic regression to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The SXB and control cohorts included 954 and 1908 patients, respectively. Risk of new-onset hypertension diagnosis or antihypertensive medication initiation was higher in the SXB cohort than in the control cohort (6.60 vs 4.20 per 100 patients; OR, 1.61; 95% CI, 1.15 to 2.27). Risk of a new-onset hypertension diagnosis only in the SXB cohort was 0.94 per 100 patients and 0.52 per 100 patients in the control cohort (OR, 1.81; 95% CI, 0.73 to 4.46). CONCLUSION: In this study, sodium oxybate use was associated with a new-onset hypertension diagnosis or antihypertensive medication initiation in normotensive patients with narcolepsy.

Cardiovascular Burden of Narcolepsy Disease (CV-BOND): a real-world evidence study.

STUDY OBJECTIVES: Narcolepsy is associated with cardiovascular risk factors; however, the risk of new-onset cardiovascular events in this population is unknown. This real-world study evaluated the excess risk of new-onset cardiovascular events in U.S. adults with narcolepsy. METHODS: A retrospective cohort study using IBM MarketScan administrative claims data (2014-2019) was conducted. A narcolepsy cohort, comprising adults (≥18 years) with at least two outpatient claims containing a narcolepsy diagnosis, of which at least one was non-diagnostic, was matched to a non-narcolepsy control cohort (1:3) based on cohort entry date, age, sex, geographic region, and insurance type. The relative risk of new-onset cardiovascular events was estimated using a multivariable Cox proportional hazards model to compute adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: The narcolepsy and matched non-narcolepsy control cohorts included 12 816 and 38 441 individuals, respectively. At baseline, cohort demographics were generally similar; however, patients with narcolepsy had more comorbidities. In adjusted analyses, the risk of new-onset cardiovascular events was higher in the narcolepsy cohort compared with the control cohort: any stroke (HR [95% CI], 1.71 [1.24, 2.34]); heart failure (1.35 [1.03, 1.76]); ischemic stroke (1.67 [1.19, 2.34]); major adverse cardiac event (1.45 [1.20, 1.74]); grouped instances of stroke, atrial fibrillation, or edema (1.48 [1.25, 1.74]); and cardiovascular disease (1.30 [1.08, 1.56]). CONCLUSION: Individuals with narcolepsy are at increased risk of new-onset cardiovascular events compared with individuals without narcolepsy. Physicians should consider cardiovascular risk in patients with narcolepsy when weighing treatment options.

Predicting waist circumference from body mass index.

BACKGROUND: Being overweight or obese increases risk for cardiometabolic disorders. Although both body mass index (BMI) and waist circumference (WC) measure the level of overweight and obesity, WC may be more important because of its closer relationship to total body fat. Because WC is typically not assessed in clinical practice, this study sought to develop and verify a model to predict WC from BMI and demographic data, and to use the predicted WC to assess cardiometabolic risk. METHODS: Data were obtained from the Third National Health and Nutrition Examination Survey (NHANES) and the Atherosclerosis Risk in Communities Study (ARIC). We developed linear regression models for men and women using NHANES data, fitting waist circumference as a function of BMI. For validation, those regressions were applied to ARIC data, assigning a predicted WC to each individual. We used the predicted WC to assess abdominal obesity and cardiometabolic risk. RESULTS: The model correctly classified 88.4% of NHANES subjects with respect to abdominal obesity. Median differences between actual and predicted WC were -0.07 cm for men and 0.11 cm for women. In ARIC, the model closely estimated the observed WC (median difference: -0.34 cm for men, +3.94 cm for women), correctly classifying 86.1% of ARIC subjects with respect to abdominal obesity and 91.5% to 99.5% as to cardiometabolic risk.The model is generalizable to Caucasian and African-American adult populations because it was constructed from data on a large, population-based sample of men and women in the United States, and then validated in a population with a larger representation of African-Americans. CONCLUSIONS: The model accurately estimates WC and identifies cardiometabolic risk. It should be useful for health care practitioners and public health officials who wish to identify individuals and populations at risk for cardiometabolic disease when WC data are unavailable.

Economic impact of potential drug-drug interactions among osteoarthritis patients taking opioids.

Patients with osteoarthritis (OA) taking at least one CYP450-metabolized opioid concurrently with another CYP450-metabolized medication experience a drug-drug exposure (DDE), which puts them at risk of a pharmacokinetic drug-drug interaction (PK DDI). This study compared patients with and without such an incident DDE to determine healthcare utilization and associated payments. Using a retrospective database analysis, the impact of DDEs was evaluated in terms of associated clinical events, healthcare services utilization (office visits, outpatient visits, ED visits, hospitalization), and payments in patient populations based on age (those under age 65 and those 65 years of age and older), during the 6 months after exposure. DDE patients had significantly more inpatient hospitalizations than no-DDE patients. Mean total payments at 6 months were significantly higher for both younger and older patients with DDE compared to similar patients without DDE ($9,469, SD = $12,192 vs. $8,382, SD = $14,078, respectively, for younger patients, resulting in a difference of $1,087, P < 0.004, and $9,829, SD = $11,721 vs. $8,622, SD = $10,131, respectively, for older patients, resulting in a difference of $1,207, P = 0.001). In both age groups, DDE patients had significantly higher payments for nonopioid prescription drugs ($1,824 SD = $2,420 vs. $1,362, SD = $1,891, respectively, for younger patients, resulting in a difference of $462, P < 0.001, and $2,197 SD = $2,332 vs. $2,013, SD = $2,437, respectively, for older patients, resulting in a difference of $184, P = 0.020). Overall, patients with OA who experienced DDEs had significantly greater utilization rates of healthcare resources and higher associated payments in the 6-month observation period following the exposure, compared to patients without DDEs, consistent with the risk of PK DDIs associated with DDEs.

Economic impact of potential CYP450 pharmacokinetic drug-drug interactions among chronic low back pain patients taking opioids.

Chronic low back pain (cLBP) patients who take at least 1 CYP450-metabolized opioid analgesic agent concurrent with at least 1 other CYP450-metabolized medication experience a drug-drug exposure (DDE), which puts them at risk for a pharmacokinetic drug-drug interaction (PK DDI). This study compared utilization of healthcare resources and associated payments in cLBP patients with and without incident DDEs with the potential to cause PK DDIs. A retrospective database analysis examined the associated clinical events, healthcare utilization (measured in terms of claims for office visits, outpatient visits, emergency department visits, and hospitalization), and cost to the health plan, as defined as the sum of health plan payments for resources used. Patients were grouped into 2 cohorts by age (those under 65 and those 65 years and over). In the 6 months after exposure, total healthcare payments were significantly higher for DDE patients than those without DDEs (no-DDE), in both in the younger ($7,086, SD = $8,370) and $6,353, SD = $8,352, respectively, P < 0.001) and the older cohorts ($7,806 vs. $7,043, respectively, P = 0.013). Younger and older patients with DDE had significantly higher prescription payments than those without DDE ($2,041, SD = $2,706 vs. $1,565, SD = $2,349, respectively, P < 0.001 for younger and $2,482, SD = $2,481 vs. $2,286, SD = $2,521, respectively, P = 0.044 for older patients). Both older and younger patients with DDE had significantly more claims for office visits and higher associated payments than similar patients without DDE. Patients in the study who experienced DDEs that placed them at risk for PK DDIs had significantly greater utilization rates of healthcare resources and higher associated payments in the 6-month observation period following exposure.

Transferability of real-world data across borders for regulatory and health technology assessment decision-making.

Recently, there has been increased consideration of real-world data (RWD) and real-world evidence (RWE) in regulatory and health technology assessment (HTA) decision-making. Due to challenges in identifying high-quality and relevant RWD sources, researchers and regulatory/HTA bodies may turn to RWD generated in locales outside of the locale of interest (referred to as "transferring RWD"). We therefore performed a review of stakeholder guidance as well as selected case studies to identify themes for researchers to consider when transferring RWD from one jurisdiction to another. Our review highlighted that there is limited consensus on defining decision-grade, transferred RWD; certain stakeholders have issued relevant guidance, but the recommendations are high-level and additional effort is needed to generate comprehensive guidance. Additionally, the case studies revealed that RWD transferability has not been a consistent concern for regulatory/HTA bodies and that more focus has been put on the evaluation of internal validity. To help develop transferability best practices (alongside internal validity best practices), we suggest that researchers address the following considerations in their justification for transferring RWD: treatment pathways, nature of the healthcare system, incidence/prevalence of indication, and patient demographics. We also recommend that RWD transferability should garner more attention as the use of imported RWD could open doors to high-quality data sources and potentially reduce methodological issues that often arise in the use of local RWD; we thus hope this review provides a foundation for further dialogue around the suitability and utility of transferred RWD in the regulatory/HTA decision-making space.

A Comparison of Daily Average Consumption Of Oxycodone Controlled Release (OxyContin CR) And Oxymorphone Extended Release (Opana ER) In Patients With Low Back Pain.

OBJECTIVE: Our goal was to examine the daily average consumption (DACON) of oxycodone controlled-release tablets (OxyContin CR)and oxymorphone extended-release tablets (Opana ER) in patients with low back pain. STUDY DESIGN: An observational, retrospective cohort study enrolled patients with multiple prescriptions for oxycodone CR or oxymorphone ER tablets. These patients also had International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for low back pain. Pharmacy prescription medication claims data were obtained from a large commercially insured health plan in the U.S. Mean daily consumption was calculated for a 90-day period. METHODS: We used descriptive statistics to evaluate patient demographics and health plan characteristics. Univariate analyses were used to examine the data as observed. A generalized linear model with a gamma distribution and log-link function provided a sensitivity measure, adjusting for heterogeneity among patients and the skewed nature of the DACON variable. RESULTS: A total of 4,023 patients received oxycodone CR, and 374 patients received oxymorphone ER. The mean age of patients (standard deviation, SD) was 49.0 (11.6) years for oxycodone CR and 47.3 (10.6) years for oxymorphone ER. DACON of oxycodone CR was 3.2 tablets per day, and DACON of oxymorphone ER was 2.7 tablets per day (P < 0.01). Utilization of maximum-strength tablets of oxycodone CR 80 mg was 3.9 tablets per day, which was significantly higher, by one tablet per day, than the utilization of equipotent oxymorphone ER maximum-strength tablets of 40 mg at 2.9 tablets per day (P < 0.01). CONCLUSION: The use of oxycodone CR, measured as mean daily consumption over a 90-day period, was significantly higher than that for oxymorphone ER in these patients, a finding that could have financial implications for health care systems.

Exposure to potential CYP450 pharmacokinetic drug-drug interactions among osteoarthritis patients: incremental risk of multiple prescriptions.

Patients taking more than one drug metabolized through the cytochrome P450 (CYP450) enzyme system experience a drug-drug exposure (DDE), which puts them at risk for a potential pharmacokinetic drug-drug interaction (DDI), defined as two or more drugs interacting in such a way that the effectiveness and/or toxicity of one or all drugs are changed. Any patient subjected to a DDE is at risk for a potentially serious DDI, the epidemiology of which has not been thoroughly studied. Many drugs are metabolized primarily via the CYP450 enzyme system, including certain opioids used to manage moderate to severe chronic pain. We conducted a retrospective analysis of a large commercial claims database and a Medicare database to assess the prevalence of DDEs among patients with osteoarthritis taking CYP450-metabolized opioids. The overall prevalence of DDEs in this population was 26%, with females more likely to experience DDEs than males (28.4% vs. 21.0%, respectively). The number of unique concurrent prescriptions at baseline, gender, age, and Charlson Comorbidity Index were statistically significant predictors of DDEs (P < 0.05). This study challenged previous assumptions about DDEs in that advanced age was not positively associated with the risk of DDE. However, the number of prescriptions the patient received in the 90-day window prior to the index date was a risk factor. For patients taking at least two medications in the 90-day period prior to the index date, every additional prescription taken increased their risk for a DDE during the observation period by 138% (on average). The risk of DDE during the study period was threefold greater for patients with one medication in the 90-day period before index date compared with similar patients with no prescriptions in that same period before the index date. DDEs are more common than may be generally believed in patients with osteoarthritis, regardless of age, and can occur even in patients taking few medications. When selecting an opioid analgesic to treat osteoarthritis, physicians should consider the potential for exposure of these patients to drugs that could interact unfavorably.

Prevalence of exposure to potential CYP450 pharmacokinetic drug-drug interactions among patients with chronic low back pain taking opioids.

Drug-drug interactions (DDIs) have been defined as two or more drugs interacting in such a way that the effectiveness and/or toxicity of one or all drugs are changed. Patients taking more than one drug metabolized through the cytochrome P450 (CYP450) enzyme system, including some, but not all, opioids experience a drug-drug exposure (DDE), which may result in a potentially dangerous DDI. Using a retrospective analysis of a large commercial claims database and a Medicare database, we evaluated DDEs that have the potential to cause DDIs among chronic low back pain (cLBP) patients on long-term opioid analgesia, which metabolizes through the CYP450 enzyme system, concomitant with other CYP450-metabolized drug(s). The overall prevalence of DDEs among cLBP patients was 27%. Women had a higher prevalence of DDEs (30.6% vs. 22% for men). Patients aged 45 to 55 and 56 to 64 years had the highest prevalence of DDEs (30.4% and 29.8%, respectively), followed by patients 34 to 45 years (27.9%). For patients>65 years, the prevalence of DDEs was 23.1%. In general, the prevalence of DDEs was fairly consistent across age ranges in this population. This study suggests that DDEs are common in the cLBP population. When selecting an opioid to treat cLBP, physicians should consider the potential for exposure of these patients to drugs that might unfavorably interact and, for that reason, the use of opioids that do not rely on the CYP450 system as their primary means of metabolism might be worthy of consideration.

Impact of body mass index on the incidence of cardiometabolic risk factors in ambulatory care settings over 5 years or more.

OBJECTIVE: This study was performed to evaluate the association of body mass index (BMI) with the incidence of cardiometabolic risk factors in ambulatory care electronic medical records (EMRs) over 5 years or more. DESIGN: A retrospective cohort of normal versus obese patients. SUBJECTS: Subjects>or=18 years were identified between 1996 and 2005. MEASUREMENTS: Patients were categorized as either normal weight (18 kg/m227 kg/m2) based on baseline BMI (measured 395 days or more after first EMR activity). Outcomes included development, at least 180 days after the first BMI reading date, of four cardiometabolic risk factors (elevated triglycerides, low high-density lipoprotein cholesterol [HDL-C], hypertension, or type 2 diabetes) determined from ICD-9 code, prescribed drug, or biometric reading. Logistic regression estimated the odds of developing cardiometabolic risk factors, alone and combined for normal versus obese patients forward for at least 5 years. RESULTS: Seventy-one percent were female, mean age was 43.5 years, and 37.6% had a baseline BMI>27 kg/m2. Comparing obese versus normal weight patients, adjusted odds ratios for the incidence of elevated triglycerides, hypertension, diabetes, and low HDL-C were 2.1 (95% confidence interval [95% CI] 1.9-2.3), 2.2 (95% CI 2.1-2.4), 2.3 (95% CI 2.0-2.7), and 2.2 (95% CI 2.0-2.4), respectively. Adjusted odds ratios of developing one and all four new risk factors were 1.9 (95% CI 1.8-2.1) and 7.9 (95% CI 5.9-10.5), respectively. CONCLUSION: Obese patients are approximately twice as likely to develop cardiometabolic risk factors compared with those having normal weight over 5 or more years.

Prediction of first events of coronary heart disease and stroke with consideration of adiposity.

BACKGROUND: Prediction of coronary heart disease (CHD) and cerebrovascular disease (CeVD) can aid healthcare providers and prevention programs. Previous reports have focused on traditional cardiovascular risk factors; less information has been available on the role of overweight and obesity. METHODS AND RESULTS: Baseline data from 4780 Framingham Offspring Study adults with up to 24 years of follow-up were used to assess risk for a first CHD event (angina pectoris, myocardial infarction, or cardiac death) alone, first CeVD event (acute brain infarction, transient ischemic attack, and stroke-related death) alone, and CHD and CeVD events combined. Accelerated failure time models were developed for the time of first event to age, sex, cholesterol, high-density lipoprotein cholesterol, diabetes mellitus (DM), systolic blood pressure, smoking status, and body mass index (BMI). Likelihood-ratio tests of statistical significance were used to identify the best-fitting predictive functions. Age, sex, smoking status, systolic blood pressure, ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were highly related (P<0.01 for all) to the development of first CHD events, and all of the above except sex and DM were highly related to the first CeVD event. BMI also significantly predicted the occurrence of CHD (P=0.05) and CeVD (P=0.03) in multivariable models adjusting for traditional risk factors. The magnitude of the BMI effect was reduced but remained statistically significant when traditional variables were included in the prediction models. CONCLUSIONS: Greater BMI, higher systolic blood pressure, higher ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were all predictive of first CHD events, and all but the presence of DM were predictive of first CeVD events. These results suggest that common pathophysiological mechanisms underlie the roles of BMI, DM, and systolic blood pressure as predictors for first CHD and CeVD events.

Economic outcomes associated with microvascular complications of type 2 diabetes mellitus: results from a US claims data analysis.

BACKGROUND: Patients with diabetes mellitus have been shown to be at high risk for both macrovascular and microvascular complications (MVC). Recent studies have focused on MVC and their effect on the healthcare system, but limited published data exist on long-term costs associated with MVC in patients with type 2 diabetes mellitus (T2DM). OBJECTIVE: The objective of this study was to compare resource utilization and medical costs over a 12-month period among patients diagnosed with T2DM with versus without MVC in a managed-care population. METHODS: Patients aged >/=18 years, diagnosed with T2DM between 1 January 2003 and 31 December 2004 were identified in an administrative claims database of approximately 55 million beneficiaries in private and public health plans. The date of the first T2DM diagnosis during this period was the 'index date' for each patient. All patients had to have a minimum of 12 months of continuous enrolment both prior to and following the index date. MVC was identified during the 12 months prior to the first T2DM diagnosis and these patients were matched (1 : 2) by age, sex and ten co-morbid conditions to those with no evidence of MVC during the entire study period. RESULTS: Among the 15 326 MVC patients included in the study, 61% had a history of peripheral neuropathy, 28% diabetic retinopathy and 19% nephropathy. Compared with 30 652 patients without MVC, the MVC patients were more likely to use oral antidiabetics and insulin and had a higher co-morbidity score. Over 12 months, patients with MVC had more (mean 0.3 vs 0.2; p < 0.001) and longer (mean length of stay 1.79 days vs 0.85 days; p < 0.001) hospital stays; physician office visits (19.7 vs 13.7; p < 0.001); and prescriptions for oral antidiabetic (6.3 vs 5.6 scripts; p < 0.001) and insulin (0.7 vs 0.2 scripts; p < 0.001) use. Average total costs per patient over 12 months were $US14 414 with MVC versus $US8669 without MVC (p < 0.001). CONCLUSIONS: This study indicates that in patients with T2DM, MVC is associated with significant consumption of healthcare resources. Mean total costs with MVC were almost double those of patients without MVC over a 12-month period.

Association between cardiometabolic risk factors and body mass index based on diagnosis and treatment codes in an electronic medical record database.

BACKGROUND: Managed care organizations (MCOs) have access to treatment and diagnosis information from administrative claims data but generally have limited or no access to clinical information about laboratory values or biometric values such as body mass index (BMI) or waist circumference. Thus, MCOs are generally unable to identify overweight patients with cardiometabolic risk factors that put them at a high risk of poor outcomes. The National Heart, Lung, and Blood Institute defines normal body weight as a BMI (ratio of weight in kilograms to height in meters squared [kg/m2]) from 18.5 to 24.9 kg/m2, overweight as 25.0 to 29.9 kg/m2, and obesity as a BMI of 30 kg/m2 or greater. Current guidelines for weight-loss pharmacotherapy, including U.S. Food and Drug Administration-approved label indications, specify use in patients with a BMI of 30 kg/m2 or greater, or a BMI > 27 kg/m2 and at least 1 concomitant cardiometabolic risk factor such as controlled hypertension, diabetes, or dyslipidemia. OBJECTIVE: To evaluate the association of cardiometabolic risk factors with BMI as recorded in a database of electronic medical records (EMRs). METHODS: Each patient had a minimum look-back observation period of 2 years from the last date of activity in the EMR. Patients with a BMI of 18 kg/m2 or greater recorded in the EMR at any time during the 10-year period from January 1996 through December 2005 were stratified into groups by the number of cardiometabolic risk factors and by individual cardiometabolic risk for those with just 1 risk factor. Cardiometabolic risk factors were identified from diagnoses and prescription orders in the EMR associated with high triglyceride levels, low high-density lipoprotein cholesterol (HDL-C) levels, type 2 diabetes, or hypertension. Unadjusted and adjusted odds ratios (ORs) of having a BMI >27 kg/m2 were calculated for each risk factor group and for patients with no risk factors. Using logistic regression analysis, ORs were adjusted for age, gender, insurance type, region, medications associated with weight gain or weight loss, and diseases that modify weight. RESULTS: A total of 499,593 patients with a BMI of 18 kg/m2 or greater were identified; 56.4% (n = 281,988) had a BMI > 27 kg/m2, whereas 43.6% (n = 217,605) had a BMI between 18 and 27 kg/m2. Compared with patients with no risk factors (n = 289,960), patients with 1-4 risk factors (n = 209,633) were significantly more likely to have a BMI > 27 kg/m2; 48.4% of patients without cardiometabolic risk factors had a BMI > 27 kg/m2, compared with 63.3%, 79.8%, 84.6%, and 88.5% for patients with 1-4 cardiometabolic risk factors, respectively (all comparisons P < 0.001). Adjusted ORs for having a BMI > 27 kg/m2 were 2.64 (95% confidence interval [CI] = 2.51-2.77) for type 2 diabetes, 2.21 (95% CI = 2.05-2.37) for elevated triglycerides, 1.91 (95% CI = 1.88-1.94) for hypertension, and 1.45 (95% CI = 1.29-1.63) for low HDL-C. Adjusted ORs for having a BMI > 27 kg/m2 were 3.58 (95% CI = 3.47-3.69), 4.24 (95% CI = 3.93-4.59), and 5.07 (95% CI = 3.77-6.81) for patients with any 2, 3, and 4 risk factors respectively, relative to patients with no cardiometabolic risk factors. CONCLUSIONS: For patients with cardiometabolic risk factors, compared with patients with no risk factors, the odds of having a BMI > 27 kg/m2 were multiplied by 1.45-5.07, depending on the type and number of risk factors. Diagnoses and treatment indicators for cardiometabolic risk factors are potential indicators of obesity.

Resource utilization and charges of patients with and without diagnosed venous thromboembolism during primary hospitalization and after elective inpatient surgery: a retrospective study.

AIMS: To assess incremental charges of patients experiencing venous thromboembolisms (VTE) across various types of elective inpatient surgical procedures with administration of general anesthesia in the US. METHODS: The authors performed a retrospective study utilizing data from a nationwide hospital operational records database from July 2014 through June 2015 to compare a group of inpatients experiencing a VTE event post-operatively to a propensity score matched group of inpatients who did not experience a VTE. Patients included in the analysis had a hospital admission for an elective inpatient surgical procedure with the use of general anesthesia. Procedures of the heart, brain, lungs, and obstetrical procedures were excluded, as these procedures often require a scheduled ICU stay post-operatively. Outcomes examined included VTE events during hospitalization, length of stay, unscheduled ICU transfers, number of days spent in the ICU if transferred, 3- and 30-day re-admissions, and total hospital charges incurred. RESULTS: The study included 17,727 patients undergoing elective inpatient surgical procedures. Of these, 36 patients who experienced a VTE event were matched to 108 patients who did not. VTE events occurred in 0.2% of the study population, with most events occurring for patients undergoing total knee replacement. VTE patients had a mean total hospital charge of $60,814 vs $48,325 for non-VTE patients, resulting in a mean incremental charge of $11,979 (p < .05). Compared to non-VTE patients, VTE patients had longer length of stay (5.9 days vs 3.7 days, p < .001), experienced a higher rate of 3-day re-admissions (3 vs 0 patients) and 30-day re-admissions (7 vs 2 patients). CONCLUSIONS: Patients undergoing elective inpatient surgical procedures with general anesthesia who had a VTE event during their primary hospitalization had a significantly longer length of stay and significantly higher total hospital charges than comparable patients without a VTE event.

Characterizing downstream healthcare resource utilization and costs based on prior utilization patterns of immediate-release hydrocodone.

OBJECTIVE: To assess downstream healthcare resource utilization (HRU) and costs among immediate release (IR) hydrocodone patients by days' supply and average doses/month in the prior 6 months. METHODS: Retrospective analysis using healthcare claims from Truven MarketScan commercial, Medicare supplemental, and Medicaid multistate databases was performed. Patients prescribed IR hydrocodone during the 6-month baseline (July-December 2011), and with continuous enrollment during baseline and the 12-month follow-up (2012) were selected. HRU and per-patient-per-month (PPPM) costs (2014 US dollars) were assessed at follow-up. Descriptive analyses and multivariate regressions were conducted to compare HRU and costs at follow-up by days' supply (<60 vs ≥60 days) and average doses per month (≤60 vs >60 doses/month) of IR hydrocodone at baseline. RESULTS: In total, 1,698,845 commercial, 264,038 Medicare, and 151,063 Medicaid IR hydrocodone patients were identified. During follow-up, commercial patients with prior ≥60 days' supply were more likely to have an inpatient admission (13.2% vs 7.5%), outpatient hospital visit (69.1% vs 57.0%), office visit (97.6% vs 91.0%), emergency room (ER) visit (28.1% vs 21.4%), and had higher PPPM total costs ($1494 vs $842) than the <60 days' supply sub-group (all p < 0.05). Among commercial patients the adjusted odds ratio for prior ≥60 days' supply of IR hydrocodone vs prior <60 days' supply was 1.62 (inpatient), 1.33 (outpatient), 2.58 (office visit) and 1.48 (ER) (all p-values <0.05). Adjusted all-cause total costs were higher ($1245 vs $851, p <0.05) among commercial patients with longer days' supply than those with shorter days' supply. Trends were similar with ≤60 vs >60 doses per month sub-groups and across all plan types. CONCLUSION: Increased days' supply and higher doses/month of IR hydrocodone in the prior 6 months may help to predict levels of HRU and costs in the following year, providing an opportunity to identify patients in order to implement interventions to improve their quality of care.

Opioid Treatment Patterns Following Prescription of Immediate-Release Hydrocodone.

BACKGROUND: Immediate-release (IR) hydrocodone is the most widely prescribed opioid in the United States; however, little is known about the utilization patterns and duration of opioid use among patients prescribed IR hydrocodone. A better understanding of the use of IR hydrocodone would result in more appropriate prescribing patterns of extended-release opioids. OBJECTIVE: To assess downstream length of opioid therapy and utilization patterns of extended-release/long-acting (ER/LA) opioids among patients on IR hydrocodone to provide a better understanding of how IR and ER/LA opioids are used to manage pain. METHODS: Retrospective analysis using health care claims from the Truven MarketScan Commercial, Medicare Supplemental, and Medicaid databases was performed. Patients prescribed IR hydrocodone during the 6-month baseline period (July 2011-December 2011) and with continuous enrollment for a 12-month follow-up period (2012) post-index date (January 1, 2012) were selected. Downstream length of therapy, defined as number of days supplied with opioids, and downstream use of ER/LA opioids during follow-up were examined by average pills per month (≤ 60 vs. > 60 pills per month) and days supply (< 60 vs. ≥ 60 days supply) of IR hydrocodone during baseline to mimic intermittent and consistent IR users. RESULTS: At baseline, 1,743,933 commercial, 277,096 Medicare, and 157,922 Medicaid IR hydrocodone patients were identified. During follow-up, 1.7%, 2.9%, and 2.8% of patients initiated (i.e., converted to or newly started) ER/LA opioids for commercial, Medicare, and Medicaid groups, respectively. Approximately 90% of patients were prescribed IR hydrocodone for less than 2 months in the following year, while 10% were high utilizers, averaging nearly 8 months of prescribed opioid use during follow-up. Downstream initiation of ER/LA opioids was significantly higher among commercial patients prescribed IR hydrocodone for > 60 pills per month than with ≤ 60 pills per month (7.8% vs. 1.2%, respectively, P < 0.05) at baseline. For commercial patients initiating ER/LA opioids, length of ER/LA therapy during follow-up was significantly longer among patients with baseline IR hydrocodone > 60 pills per month than with ≤ 60 pills per month. All results were consistent when examined by levels of days supply. CONCLUSIONS: A majority of the population prescribed IR hydrocodone was not prescribed opioid therapy beyond 2 months on average in the 1-year follow-up period. Only a small subset of patients with increased pills per month or days supply of IR hydrocodone in the baseline period continued to be high utilizers in the following year, averaging nearly 8 months of prescribed opioid use. A limited proportion of patients prescribed IR hydrocodone converted to ER/LA opioids. This knowledge can assist policymakers and physicians, providing an opportunity to identify small subsets of patients to improve ER/LA opioid prescribing. DISCLOSURES: Funding and support for this study was provided by Purdue Pharma L.P. Consulting fees were paid to Evidera by Purdue Pharma L.P. for this study. Kansal, Chitnis, and Paramore are employees of Evidera and were paid consultants to Purdue Pharma for this research. Holly is an employee for Purdue Pharma, and Bell and Ben-Joseph were full-time employees of Purdue Pharma during the design, planning, and execution of the studies and during the preparation of this manuscript. Burgoyne and Brixner were consultants on this project. Study design was created by Ben-Joseph, Brixner, Paramore, and Burgoyne. Data were collected by Kansal, Chitnis, Bell, Ben-Joseph, and Holly and interpreted by Ben-Joseph, Bell, Kansal, and Holly, with assistance from Brixner, Paramore, Burgoyne, and Chitnis. The manuscript was written by Ben-Joseph, Bell, Paramore, Chitnis, and Holly, with assistance from Kansal, and revised by Bell and Holly, along with Ben-Joseph, Brixner, Kansal, Paramore, Burgoyne, and Chitnis.