Patient characteristics, pain treatment patterns, and incidence of total joint replacement in a US population with osteoarthritis.

BACKGROUND: Currently available medications for chronic osteoarthritis pain are only moderately effective, and their use is limited in many patients because of serious adverse effects and contraindications. The primary surgical option for osteoarthritis is total joint replacement (TJR). The objectives of this study were to describe the treatment history of patients with osteoarthritis receiving prescription pain medications and/or intra-articular corticosteroid injections, and to estimate the incidence of TJR in these patients. METHODS: This retrospective, multicenter, cohort study utilized health plan administrative claims data (January 1, 2013, through December 31, 2019) of adult patients with osteoarthritis in the Innovation in Medical Evidence Development and Surveillance Distributed Database, a subset of the US FDA Sentinel Distributed Database. Patients were analyzed in two cohorts: those with prevalent use of "any pain medication" (prescription non-steroidal anti-inflammatory drugs [NSAIDs], opioids, and/or intra-articular corticosteroid injections) using only the first qualifying dispensing (index date); and those with prevalent use of "each specific pain medication class" with all qualifying treatment episodes identified. RESULTS: Among 1 992 670 prevalent users of "any pain medication", pain medications prescribed on the index date were NSAIDs (596 624 [29.9%] patients), opioids (1 161 806 [58.3%]), and intra-articular corticosteroids (323 459 [16.2%]). Further, 92 026 patients received multiple pain medications on the index date, including 71 632 (3.6%) receiving both NSAIDs and opioids. Altogether, 20.6% of patients used an NSAID at any time following an opioid index dispensing and 17.2% used an opioid following an NSAID index dispensing. The TJR incidence rates per 100 person-years (95% confidence interval [CI]) were 3.21 (95% CI: 3.20-3.23) in the "any pain medication" user cohort, and among those receiving "each specific pain medication class" were NSAIDs, 4.63 (95% CI: 4.58-4.67); opioids, 7.45 (95% CI: 7.40-7.49); and intra-articular corticosteroids, 8.05 (95% CI: 7.97-8.13). CONCLUSIONS: In patients treated with prescription medications for osteoarthritis pain, opioids were more commonly prescribed at index than NSAIDs and intra-articular corticosteroid injections. Of the pain medication classes examined, the incidence of TJR was highest in patients receiving intra-articular corticosteroids and lowest in patients receiving NSAIDs.

Risk of adverse birth outcomes after maternal varenicline use: A population-based observational study in Denmark and Sweden.

PURPOSE: To examine risks of adverse birth outcomes in women exposed to varenicline during pregnancy. METHODS: Population-based cohort study including live-born and stillborn infants from 1 May 2007 to 31 December 2012. Data from health and administrative registries in Denmark and Sweden, two Nordic countries with universal health care and routine registration of major life and health events. Infants were allocated to three cohorts on the basis of their in utero exposure: the exposed cohort consisting of infants whose mothers were dispensed varenicline during pregnancy; the unexposed cohort comprised infants unexposed to varenicline, but exposed to maternal smoking in utero; and the reference cohort of infants unexposed to varenicline and maternal smoking in utero. The primary outcome was major congenital malformations diagnosed from birth to the first year of life. Secondary outcomes included stillbirth, fetal growth restriction (measured as small for gestational age), preterm delivery, preterm premature rupture of membranes, and sudden infant death syndrome. We estimated the prevalence of the primary outcome and secondary outcomes in the exposed, unexposed, and reference cohorts. Prevalence odds ratios with 95% confidence intervals (CIs) were computed using logistic regression with propensity score adjustment to control for potential confounders. RESULTS: The combined cohort included 885 185 infants. Of these, 335 infants were exposed, 78 412 were unexposed, and the remaining 806 438 comprised the reference cohort. Major congenital malformations were detected among 3.6% of exposed infants, 4.3% of unexposed infants, and 4.2% of infants in the reference cohort. The propensity score-adjusted prevalence odds ratio for major congenital malformations was 0.80 (95% CI, 0.45-1.42) for exposed vs unexposed infants. All analyses of primary and secondary outcomes comparing exposed with unexposed infants yielded odds ratio estimates below or close to unity. Use of varenicline during pregnancy does not appear to increase the risk of major congenital malformations or other adverse birth outcomes.

Assessment of Risk Evaluation and Mitigation Strategies (REMS) for varenicline (Chantix): A multistage patient survey.

PURPOSE: To evaluate the Risk Evaluation and Mitigation Strategies (REMS) for varenicline by assessing patients' understanding of the varenicline medication guide (MG) at pre-specified time points: 18 months, 3 years, and 7 years after the REMS approval. METHODS: Self-administered surveys were mailed to people who received varenicline based on a pharmacy dispensing. Survey questions assessed understanding of potential risks outlined in the MG: neuropsychiatric symptoms, skin reactions, allergic reactions, and cardiovascular risks. Crude and weighted analyses were conducted. RESULTS: The response to the survey overall was between 18% and 19%. Among responders, approximately 90% recalled receiving the MG, and at least 80% read all or part of it. At least 88% correctly identified neuropsychiatric symptoms as potential medication effects, while 41% did so for skin reactions, 53% for allergic reactions, and 82% for cardiovascular risks. Patients who read the MG had a high proportion of correct responses to the risk comprehension questions. CONCLUSIONS: A large majority of patients who were dispensed varenicline recalled receiving the MG and were able to correctly recall neuropsychiatric and cardiovascular risks in all 3 surveys. The varenicline MG may be an effective tool for patient education.

Acute nonarteritic anterior ischemic optic neuropathy and exposure to phosphodiesterase type 5 inhibitors.

INTRODUCTION: Nonarteritic anterior ischemic optic neuropathy (NAION), a rare visual disorder, has been reported in men using phosphodiesterase type 5 inhibitors (PDE5i) for erectile dysfunction. AIM: We examined whether intermittent use of PDE5i is associated with acute NAION onset within approximately five half-lives following drug ingestion. METHODS: One hundred two ophthalmology centers in the United States and Europe identified potential cases of NAION. An expert adjudication committee conducted a blind review of the records of those with recent PDE5i use to classify cases as Definite, Possible, or not NAION. Subjects provided information on PDEi use via telephone interview. Each NAION case's PDE5i exposure immediately prior to onset was compared against his recent patterns of use in an observational case-crossover design. A sample size of 40 cases with intermittent PDE5i exposure in the 30 days prior to NAION onset was needed to detect an odds ratio (OR) of 3.0 with 80% power. MAIN OUTCOME MEASURES: The daily relative risk for acute NAION on days within five half-lives of PDE5i use vs. other days was estimated via an OR obtained from conditional logistic regression. RESULTS: Among 43 Definite NAION cases with PDE5i exposure in the prior 30 days, the OR was 2.15 (95% confidence interval [CI]: 1.06, 4.34). When 21 Possible NAION cases were included (n = 64), the OR was 2.36 (95% CI: 1.33, 4.19). CONCLUSIONS: We found an approximately twofold increased risk of acute NAION within five half-lives of PDE5i use compared with use in a more prior time period. Bias from inaccurate recall of exposure was unlikely to have substantially affected the results. Based on our results, we estimate that weekly use of PDE5i adds three NAION cases per 100,000 men 50 years and older annually.

The effectiveness of varenicline medication guide for conveying safety information to patients: a REMS assessment survey.

PURPOSE: Risk Evaluation and Mitigation Strategies (REMS) include various mechanisms to enhance safe use of medications, including a patient medication guide (MG) that provides key information regarding the potential risks associated with the medication. To evaluate the effectiveness of the varenicline MG as a REMS tool for educating patients, we undertook a survey among patients who were dispensed varenicline. METHODS: Varenicline recipients within the Optum Research Database, a large U.S. administrative claims database, were invited to participate in a self-administered survey. Survey questions were general (receipt and reading of the MG) and specific regarding patient's understanding of the potential varenicline risks outlined in the MG (neuropsychiatric symptoms, skin reactions, and allergic reactions). RESULTS: From 3568 varenicline recipients invited, 640 (18%) responded, with 633 completing at least one of three risk-comprehension questions. The majority (93%) indicated receiving the MG, and 86% read all or part of it. Ninety-one percent, 41%, and 53% correctly answered at least one question on neuropsychiatric symptoms, skin reactions, and allergic reactions, respectively. A higher proportion who read the MG had correct responses to the risk-comprehension questions than those who did not read it. CONCLUSIONS: The varenicline MG was widely received and read among survey respondents, and the information conveyed was generally well understood regarding potential risk of neuropsychiatric symptoms. This study provides an assessment of the effectiveness of the varenicline MG in communicating information about potential risks associated with varenicline. This assessment method may apply to the evaluation of the effectiveness of other MGs.

Diagnosing Prescription Opioid Use Disorder in Patients Using Prescribed Opioids for Chronic Pain.

OBJECTIVE: The diagnostic criteria for opioid use disorder, originally developed for heroin, did not anticipate the surge in prescription opioid use and the resulting complexities in diagnosing prescription opioid use disorder (POUD), including differentiation of pain relief (therapeutic intent) from more common drug use motives, such as to get high or to cope with negative affect. The authors examined the validity of the Psychiatric Research Interview for Substance and Mental Disorders, DSM-5 opioid version, an instrument designed to make this differentiation. METHODS: Patients (N=606) from pain clinics and inpatient substance treatment who ever received a ≥30-day opioid prescription for chronic pain were evaluated for DSM-5 POUD (i.e., withdrawal and tolerance were not considered positive if patients used opioids only as prescribed, per DSM-5 guidelines) and pain-adjusted POUD (behavioral/subjective criteria were not considered positive if pain relief [therapeutic intent] was the sole motive). Bivariate correlated-outcome regression models indicated associations of 10 validators with DSM-5 and pain-adjusted POUD measures, using mean ratios for dimensional measures and odds ratios for binary measures. RESULTS: The prevalences of DSM-5 and pain-adjusted POUD, respectively, were 44.4% and 30.4% at the ≥2-criteria threshold and 29.5% and 25.3% at the ≥4-criteria threshold. Pain adjustment had little effect on prevalence among substance treatment patients but resulted in substantially lower prevalence among pain treatment patients. All validators had significantly stronger associations with pain-adjusted than with DSM-5 dimensional POUD measures (ratios of mean ratios, 1.22-2.31). For most validators, pain-adjusted binary POUD had larger odds ratios than DSM-5 measures. CONCLUSIONS: Adapting POUD measures for pain relief (therapeutic intent) improved validity. Studies should investigate the clinical utility of differentiating between therapeutic and nontherapeutic intent in evaluating POUD diagnostic criteria.

Postmarketing studies program to assess the risks and benefits of long-term use of extended-release/long-acting opioids among chronic pain patients.

Background: Among patients with chronic pain using long-term opioid therapy, the incidence of opioid abuse, addiction, overdose, and associated death are not well quantified. The range of estimates for these adverse outcomes varies drastically and may depend on how they are measured (i.e. study definitions of outcomes) and on patient characteristics and opioid-use factors (e.g. regimen, daily dose).Methods: Based on a review of the literature, the US Food and Drug Administration (FDA) required companies that manufacture and sell extended-release/long-acting (ER/LA) opioids conduct as a postmarketing requirement (PMR) a series of observational studies to estimate the rates of treatment-emergent misuse, abuse, addiction, overdose, and death using validated measures. The companies formed a consortium, the Opioid PMR Consortium (OPC), to conduct the studies.Results: The FDA initially requested four observational studies (a cohort study, a questionnaire validation study, a code validation study, and a doctor-shopping validation study), but in order to achieve the FDA's goals of the 4 studies, OPC and FDA agreed to 10 observational studies (a prospective cohort study, a retrospective database cohort study, three questionnaire validation studies, two code validation studies, and three doctor-shopping validation studies). The studies are continuing through 2020.Conclusions: A series of 10 observational studies was or are being conducted in response to the FDA's postmarketing requirement. All studies have been feasible to conduct, although a validated algorithm for measuring abuse and addiction in databases was not successful.

Early adverse drug event signal detection within population-based health networks using sequential methods: key methodologic considerations.

PURPOSE: Active surveillance of population-based health networks may improve the timeliness of detection of adverse events (AEs). Our objective was to expand our previous signal detection work by investigating the effect on signal detection of alternative study specifications. METHODS: We compared the signal detection performance under various study specifications using historical data from nine health plans involved in the HMO Research Network's Center for Education and Research on Therapeutics (CERT). Five drug-event pairs representing generally accepted associations with an AE and two pairs representing "negative controls" were analyzed. Alternative study specifications related to the definition of incident users and incident AEs were assessed and compared to our previous findings. RESULTS: Relaxing the incident AE exclusion criteria by (1) including members with prior outpatient diagnoses of interest and (2) halving (to 90 days) the time window specified to define incident exposure and diagnoses increased the number of members under surveillance and as a consequence increased the number of exposed days and diagnoses by about 10-20%. The alternative specifications tend to result in earlier signal detection by 10-16 months, a likely consequence of more exposures and events entering the analysis. CONCLUSIONS: This paper provides additional preliminary information related to conducting prospective safety monitoring using health plan data and sequential analytic methods. Our findings support continued investigation of using health plan data and sequential analytic methods as a potentially important contribution to active drug safety surveillance.

An Implementation and Visualization of the Tree-Based Scan Statistic for Safety Event Monitoring in Longitudinal Electronic Health Data.

INTRODUCTION: Longitudinal electronic healthcare data hold great potential for drug safety surveillance. The tree-based scan statistic (TBSS), as implemented by the TreeScan® software, allows for hypothesis-free signal detection in longitudinal data by grouping safety events according to branching, hierarchical data coding systems, and then identifying signals of disproportionate recording (SDRs) among the singular events or event groups. OBJECTIVE: The objective of this analysis was to identify and visualize SDRs with the TBSS in historical data from patients using two antifungal drugs, itraconazole or terbinafine. By examining patients who used either itraconazole or terbinafine, we provide a conceptual replication of a previous TBSS analyses by varying methodological choices and using a data source that had not been previously used with the TBSS, i.e., the Optum Clinformatics™ claims database. With this analysis, we aimed to test a parsimonious design that could be the basis of a broadly applicable method for multiple drug and safety event pairs. METHODS: The TBSS analysis was used to examine incident events and any itraconazole or terbinafine use among US-based patients from 2002 through 2007. Event frequencies before and after the first day of drug exposure were compared over 14- and 56-day periods of observation in a Bernoulli model with a self-controlled design. Safety events were classified into a hierarchical tree structure using the Clinical Classifications Software (CCS) which mapped International Classification of Diseases, 9th Revision (ICD-9) codes to 879 diagnostic groups. Using the TBSS, the log likelihood ratio of observed versus expected events in all groups along the CCS hierarchy were compared, and groups of events that occurred at disproportionally high frequencies were identified as potential SDRs; p-values for the potential SDRs were estimated with Monte-Carlo permutation based methods. Output from TreeScan® was visualized and plotted as a network which followed the CCS tree structure. RESULTS: Terbinafine use (n = 223,968) was associated with SDRs for diseases of the circulatory system (14- and 56-day p = 0.001) and heart (14-day p = 0.026 and 56-day p = 0.001) as well as coronary atherosclerosis and other heart disease (14-day p = 0.003 and 56-day p = 0.004). For itraconazole use (n = 36,025), the TBSS identified SDRs for coronary atherosclerosis and other heart disease (p = 0.002) and complications of an implanted or grafted device (14-day p = 0.001 and 56-day p < 0.05). Use of both drugs was associated with SDRs for diseases of the digestive system at 14 days (p < 0.05) and this SDR had been observed among terbinafine users in a previous TBSS analysis with a different data source. The TreeScan® visualization facilitated the identification of the atherosclerosis and other heart disease SDRs as well as highlighting the consistency of the SDR for diseases of the digestive system across drugs and data sources. CONCLUSION: With the TBSS, we identified potential SDRs related to the circulatory system that may reflect the cardiac risk that was described in the itraconazole product label. SDRs for diseases of the digestive system among terbinafine users were also reported in a previous signal detection analysis, although other SDRs from the previous publications were not replicated. The TBSS visualizations aided in the understanding and interpretation of the TBSS output, including the comparisons to the previous publications. In this conceptual replication, differences in the results observed in our analysis and the previous analyses could be attributable to variation in modeling and design choices as well as factors that were intrinsic to the underlying data sources. The broad consistency, but far from perfect concordance, of our results with the known safety profile of these antifungals including the risks from the itraconazole product label supports the rationale for continued investigations of signal detection methods across differing data sources and populations.

Drug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic.

BACKGROUND: Drug adverse event (AE) signal detection using the Gamma Poisson Shrinker (GPS) is commonly applied in spontaneous reporting. AE signal detection using large observational health plan databases can expand medication safety surveillance. METHODS: Using data from nine health plans, we conducted a pilot study to evaluate the implementation and findings of the GPS approach for two antifungal drugs, terbinafine and itraconazole, and two diabetes drugs, pioglitazone and rosiglitazone. We evaluated 1676 diagnosis codes grouped into 183 different clinical concepts and four levels of granularity. Several signaling thresholds were assessed. GPS results were compared to findings from a companion study using the identical analytic dataset but an alternative statistical method-the tree-based scan statistic (TreeScan). RESULTS: We identified 71 statistical signals across two signaling thresholds and two methods, including closely-related signals of overlapping diagnosis definitions. Initial review found that most signals represented known adverse drug reactions or confounding. About 31% of signals met the highest signaling threshold. CONCLUSIONS: The GPS method was successfully applied to observational health plan data in a distributed data environment as a drug safety data mining method. There was substantial concordance between the GPS and TreeScan approaches. Key method implementation decisions relate to defining exposures and outcomes and informed choice of signaling thresholds.

Increased risk of suicidal ideation in smokers and former smokers compared to never smokers: evidence from the Baltimore ECA follow-up study.

The incidence rate of suicidal ideation among current and former smokers versus never smokers is not known. In this study, the age-adjusted incidence of suicidal ideation was highest among current smokers, followed by former, then never smokers. The adjusted hazard for suicide ideation was 2.22 (95%CI = 1.48, 3.33) and 1.19 (95%CI = 0.78, 1.82) for current and former smokers, respectively, compared to never smokers. Results indicate that current smokers have increased risks of suicidal ideation above and beyond the risk for never and former smokers regardless of age, gender, history of depressive disorder or anxiety symptoms, and alcohol abuse/dependence. Smoking cessation might be beneficial for some suicide prevention efforts.