A simple Cox approach to estimating risk ratios without sharing individual-level data in multi-site studies.

Epidemiologic studies frequently use risk ratios to quantify associations between exposures and binary outcomes. When the data are physically stored at multiple data partners, it can be challenging to perform individual-level analysis if data cannot be pooled centrally due to privacy constraints. Existing methods either require multiple file transfers between each data partner and an analysis center (e.g., distributed regression) or only provide approximate estimation of the risk ratio (e.g., meta-analysis). Here we develop a practical method that requires a single transfer of eight summary-level quantities from each data partner. Our approach leverages an existing risk-set method and software originally developed for Cox regression. Sharing only summary-level information, the proposed method provides risk ratio estimates and confidence intervals identical to those that would be provided - if individual-level data were pooled - by the modified Poisson regression. We justify the method theoretically, confirm its performance using simulated data, and implement it in a distributed analysis of COVID-19 data from the U.S. Food and Drug Administration's Sentinel System.

A new analytic tool for assessing the impact of the US Food and Drug Administration regulatory actions.

PURPOSE: Develop and test a flexible, scalable tool using interrupted time series (ITS) analysis to assess the impact of Food and Drug Administration (FDA) regulatory actions on drug use. METHODS: We applied the tool in the Sentinel Distributed Database to assess the impact of FDA's 2010 drug safety communications (DSC) concerning the safety of long-acting beta2-agonists (LABA) in adult asthma patients. We evaluated changes in LABA use by measuring the initiation of LABA alone and concomitant use of LABA and asthma controller medications (ACM) after the DSCs. The tool generated ITS graphs and used segmented regression to estimate baseline slope, level change, slope change, and absolute and relative changes at up to two user-specified time point (s) after the intervention. We tested the tool and compared our results against prior analyses that used similar measures. RESULTS: Initiation of LABA alone declined among asthma patients aged 18-45 years before FDA DSCs (-0.10% per quarter; 95%CI: -0.11% to -0.09%) and the downward trend continued after. Concomitant use of LABA and ACM was stable before FDA DSCs. After FDA DSCs, there was a small trend decrease of 0.006% per quarter (95% CI, -0.008% to -0.003%). We found similar results among those aged 46-64 years and patients with poorly-controlled asthma. Our results were consistent with previous studies, confirming the performance of the new tool. CONCLUSIONS: We developed and tested a reusable ITS tool in real-world databases formatted to the Sentinel Common Data Model that can assess the impact of regulatory actions on drug use.

Utility of fertility procedures and prenatal tests to estimate gestational age for live-births and stillbirths in electronic health plan databases.

PURPOSE: Current algorithms to evaluate gestational age (GA) during pregnancy rely on hospital coding at delivery and are not applicable to non-live births. We developed an algorithm using fertility procedures and fertility tests, without relying on delivery coding, to develop a novel GA algorithm in live-births and stillbirths. METHODS: Three pregnancy cohorts were identified from 16 health-plans in the Sentinel System: 1) hospital admissions for live-birth, 2) hospital admissions for stillbirth, and 3) medical chart-confirmed stillbirths. Fertility procedures and prenatal tests, recommended within specific GA windows were evaluated for inclusion in our GA algorithm. Our GA algorithm was developed against a validated delivery-based GA algorithm in live-births, implemented within a sample of chart-confirmed stillbirths, and compared to national estimates of GA at stillbirth. RESULTS: Our algorithm, including fertility procedures and 11 prenatal tests, assigned a GA at delivery to 97.9% of live-births and 92.6% of stillbirths. For live-births (n = 4 701 207), it estimated GA within 2 weeks of a reference delivery-based GA algorithm in 82.5% of pregnancies, with a mean difference of 3.7 days. In chart-confirmed stillbirths (n = 49), it estimated GA within 2 weeks of the clinically recorded GA at delivery for 80% of pregnancies, with a mean difference of 11.1 days. Implementation of the algorithm in a cohort of stillbirths (n = 40 484) had an increased percentage of deliveries after 36 weeks compared to national estimates. CONCLUSIONS: In a population of primarily commercially-insured pregnant women, fertility procedures and prenatal tests can estimate GA with sufficient sensitivity and accuracy for utility in pregnancy studies.

Association of COVID-19 vs Influenza With Risk of Arterial and Venous Thrombotic Events Among Hospitalized Patients.

Importance: The incidence of arterial thromboembolism and venous thromboembolism in persons with COVID-19 remains unclear. Objective: To measure the 90-day risk of arterial thromboembolism and venous thromboembolism in patients hospitalized with COVID-19 before or during COVID-19 vaccine availability vs patients hospitalized with influenza. Design, Setting, and Participants: Retrospective cohort study of 41 443 patients hospitalized with COVID-19 before vaccine availability (April-November 2020), 44 194 patients hospitalized with COVID-19 during vaccine availability (December 2020-May 2021), and 8269 patients hospitalized with influenza (October 2018-April 2019) in the US Food and Drug Administration Sentinel System (data from 2 national health insurers and 4 regional integrated health systems). Exposures: COVID-19 or influenza (identified by hospital diagnosis or nucleic acid test). Main Outcomes and Measures: Hospital diagnosis of arterial thromboembolism (acute myocardial infarction or ischemic stroke) and venous thromboembolism (deep vein thrombosis or pulmonary embolism) within 90 days. Outcomes were ascertained through July 2019 for patients with influenza and through August 2021 for patients with COVID-19. Propensity scores with fine stratification were developed to account for differences between the influenza and COVID-19 cohorts. Weighted Cox regression was used to estimate the adjusted hazard ratios (HRs) for outcomes during each COVID-19 vaccine availability period vs the influenza period. Results: A total of 85 637 patients with COVID-19 (mean age, 72 [SD, 13.0] years; 50.5% were male) and 8269 with influenza (mean age, 72 [SD, 13.3] years; 45.0% were male) were included. The 90-day absolute risk of arterial thromboembolism was 14.4% (95% CI, 13.6%-15.2%) in patients with influenza vs 15.8% (95% CI, 15.5%-16.2%) in patients with COVID-19 before vaccine availability (risk difference, 1.4% [95% CI, 1.0%-2.3%]) and 16.3% (95% CI, 16.0%-16.6%) in patients with COVID-19 during vaccine availability (risk difference, 1.9% [95% CI, 1.1%-2.7%]). Compared with patients with influenza, the risk of arterial thromboembolism was not significantly higher among patients with COVID-19 before vaccine availability (adjusted HR, 1.04 [95% CI, 0.97-1.11]) or during vaccine availability (adjusted HR, 1.07 [95% CI, 1.00-1.14]). The 90-day absolute risk of venous thromboembolism was 5.3% (95% CI, 4.9%-5.8%) in patients with influenza vs 9.5% (95% CI, 9.2%-9.7%) in patients with COVID-19 before vaccine availability (risk difference, 4.1% [95% CI, 3.6%-4.7%]) and 10.9% (95% CI, 10.6%-11.1%) in patients with COVID-19 during vaccine availability (risk difference, 5.5% [95% CI, 5.0%-6.1%]). Compared with patients with influenza, the risk of venous thromboembolism was significantly higher among patients with COVID-19 before vaccine availability (adjusted HR, 1.60 [95% CI, 1.43-1.79]) and during vaccine availability (adjusted HR, 1.89 [95% CI, 1.68-2.12]). Conclusions and Relevance: Based on data from a US public health surveillance system, hospitalization with COVID-19 before and during vaccine availability, vs hospitalization with influenza in 2018-2019, was significantly associated with a higher risk of venous thromboembolism within 90 days, but there was no significant difference in the risk of arterial thromboembolism within 90 days.

The Devil's in the details: Reports on reproducibility in pharmacoepidemiologic studies.

PURPOSE: The U.S. Food and Drug Administration's Sentinel Initiative "modular programs" have been shown to replicate findings from conventional protocol-driven, custom-programmed studies. One such parallel assessment-dabigatran and warfarin and selected outcomes-produced concordant findings for three of four study outcomes. The effect estimates and confidence intervals for the fourth-acute myocardial infarction-had more variability as compared with other outcomes. This paper evaluates the potential sources of that variability that led to unexpected divergence in findings. METHODS: We systematically compared the two studies and evaluated programming differences and their potential impact using a different dataset that allowed more granular data access for investigation. We reviewed the output at each of five main processing steps common in both study programs: cohort identification, propensity score estimation, propensity score matching, patient follow-up, and risk estimation. RESULTS: Our findings point to several design features that warrant greater investigator attention when performing observational database studies: (a) treatment of recorded events (eg, diagnoses, procedures, and dispensings) co-occurring on the index date of study drug dispensing in cohort eligibility criteria and propensity score estimation and (b) construction of treatment episodes for study drugs of interest that have more complex dispensing patterns. CONCLUSIONS: More precise and unambiguous operational definitions of all study parameters will increase transparency and reproducibility in observational database studies.

Assessment of prior opioid tolerance among new users of fentanyl transdermal system in FDA's Sentinel System.

PURPOSE: Fentanyl transdermal system (FTS) is intended only for patients with prior opioid tolerance. The purpose of this study is to identify the proportion of new FTS users who had evidence of prior opioid tolerance, by dosage strength, in FDA's Sentinel System. METHODS: We identified new FTS episodes (183-day washout) from 2009 through 2013. Members were <65 years and enrolled in medical and pharmacy coverage for 183 days prior to initial FTS dispensing (index). We assessed the proportion of users with prior tolerance stratified by dosage strength of FTS using four definitions of opioid tolerance: ≥30-mg oxycodone equivalents/day in each of 7 consecutive days immediately prior to index; ≥30-mg oxycodone equivalents/day for any 7 days in the 30 days prior to index (secondary); any dose in each of 7 days in the 7 consecutive days immediately prior to index (tertiary); and any dose for any 7 days in the 30 days prior to index (quaternary). RESULTS: Of 44 450 episodes of 25 mcg/hr FTS, 37% met the primary definition, and 77% met the quaternary definition. Of 3507 episodes of 100 mcg/hr FTS, 57% and 74% met the primary and quaternary definitions, respectively. Those aged 25 to 34 years had the highest proportion of episodes with prior tolerance; those aged 55 to 64 accounted for more of the episodes overall. CONCLUSIONS: In Sentinel, many new users of FTS did not have evidence of prior opioid tolerance by the primary definition, ie, the product label definition, which is the minimum standard for the lowest FTS dose (12 mcg/hr), especially at the highest strength (100 mcg/hr). Validation of this metric is warranted, but our findings suggest the need for further prescriber education regarding appropriate prescribing of FTS.

A new analytic tool developed to assess safe use recommendations.

PURPOSE: Develop a flexible analytic tool for the Food and Drug Administration's (FDA's) Sentinel System to assess adherence to safe use recommendations with two capabilities: characterize adherence to patient monitoring recommendations for a drug, and characterize concomitant medication use before, during, and/or after drug therapy. METHODS: We applied the tool in the Sentinel Distributed Database to assess adherence to the labeled recommendation that patients treated with dronedarone undergo electrocardiogram (ECG) testing no less often than every 3 months. Measures of length of treatment, time to first ECG, number of ECGs, and time between ECGs were assessed. We also assessed concomitant use of contraception among female users of mycophenolate per label recommendations (concomitancy 4 weeks before through 6 weeks after discontinuation of mycophenolate). Unadjusted results were stratified by age, month-year, and sex. RESULTS: We identified 21 457 new episodes of dronedarone use of greater than or equal to 90 days (July 2009 to September 2015); 86% had greater than or equal to one ECG, and 22% met the recommendation of an ECG no less often than every 3 months. We identified 21 942 new episodes of mycophenolate use among females 12 to 55 years (January 2016 to September 2015); 16% had greater than or equal to 1 day of concomitant contraception dispensed, 12% had concomitant contraception use for greater than or equal to 50% of the 4 weeks before initiation through 6 weeks after mycophenolate; younger females had more concomitancy. These results may be underestimates as the analyses are limited to claims data. CONCLUSIONS: We developed a tool for use in databases formatted to the Sentinel Common Data Model that can assess adherence to safe use recommendations involving patient monitoring and concomitant drug use over time.

Overall and cause-specific mortality in the Sentinel system: A power analysis.

PURPOSE: Mortality data within the Sentinel Death Tables remain generally uncharacterized. Assessment of mortality data within Sentinel will help inform its utility for medical product safety studies. METHODS: To determine if Sentinel contains sufficient all-cause and cause-specific mortality events to power postmarketing safety studies. We calculated crude rates of all-cause mortality and suicide and proportional mortality from suicide from 2004 to 2012 in seven Sentinel data partners. Results were stratified by data partner, sex, age group, and calendar year and compared with national estimates from Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research. We performed sample size estimations for all-cause mortality and 10 leading causes of death. RESULTS: We observed 479 694 deaths, including 5811 suicides, during 68 million person-years of follow-up. Pooled mean death and suicide rates in the data partners were 710 and 8.6 per 100 000 person-years, respectively (vs 810 and 11.8 nationally). The mean proportional mortality from suicide among the data partners was 1.2%, compared with 1.5% nationally. National trends of decreasing overall mortality and increasing proportional mortality for suicide were reflected within Sentinel. We estimated that detecting hazard ratios of 1.25 and 3 would require 16 442 and 460 exposed patients, respectively, for overall mortality, and 1.3 million and 37 411, respectively, for suicide. CONCLUSIONS: This was the first study to investigate mortality data in the Sentinel death tables. We found that all-cause mortality appeared well powered for use as a safety outcome and cause-specific mortality outcomes may be adequately powered in certain circumstances. Further investigation into the quality of the Sentinel death data is needed.

Association of ideal cardiovascular health and calcified atherosclerotic plaque in the coronary arteries: the National Heart, Lung, and Blood Institute Family Heart Study.

BACKGROUND: The American Heart Association (AHA) established recommendations based on 7 ideal health behaviors and factors with the goal of improving cardiovascular health (CVH) and reducing both morbidity and mortality from cardiovascular disease by 20% by 2020. Few studies have investigated their association with subclinical coronary heart disease. We sought to examine whether the 7 AHA CVH metrics were associated with calcified atherosclerotic plaque in the coronary arteries. METHODS: In a cross-sectional design, we studied 1,731 predominantly white men and women from the National Heart, Lung, and Blood Institute Family Heart Study without prevalent coronary heart disease. Diet was assessed by a semiquantitative food frequency questionnaire. Coronary artery calcium (CAC) was measured by cardiac computed tomography. We defined prevalent CAC using an Agatston score of 100+ and fitted generalized estimating equations to calculate prevalence odds ratios of CAC. RESULTS: Mean age was 56.8 years, and 41% were male. The median number of ideal CVH metrics was 3, and no participant met all 7. There was a strong inverse relationship between number of ideal CVH metrics and prevalent CAC. Odds ratios (95% CI) for CAC of 100+ were 1.0 (reference), 0.37 (0.29-0.45), 0.35 (0.26-0.44), and 0.27 (0.20-0.36) among subjects with 0 to 1, 2, 3, and 4+ ideal CVH metrics, respectively (P = .0001), adjusting for sex, age, field center, alcohol, income, education, and energy consumption. CONCLUSIONS: These data demonstrate a strong and graded inverse relationship between AHA ideal CVH metrics and prevalent CAC in adult men and women.

Lack of association of apolipoprotein E (Apo E) polymorphism with the prevalence of metabolic syndrome: the National Heart, Lung and Blood Institute Family Heart Study.

OBJECTIVE: Metabolic syndrome (MetS), characterized by abdominal obesity, atherogenic dyslipidaemia, elevated blood pressure and insulin resistance, is a major public health concern in the United States. The effects of apolipoprotein E (Apo E) polymorphism on MetS are not well established. METHODS: We conducted a cross-sectional study consisting of 1551 participants from the National Heart, Lung and Blood Institute Family Heart Study to assess the relation of Apo E polymorphism with the prevalence of MetS. MetS was defined according to the American Heart Association-National Heart, Lung and Blood Institute-International Diabetes Federation-World Health Organization harmonized criteria. We used generalized estimating equations to estimate adjusted odds ratios (ORs) for prevalent MetS and the Bonferroni correction to account for multiple testing in the secondary analysis. RESULTS: Our study population had a mean age (standard deviation) of 56.5 (11.0) years, and 49.7% had MetS. There was no association between the Apo E genotypes and the MetS. The multivariable adjusted ORs (95% confidence interval) were 1.00 (reference), 1.26 (0.31-5.21), 0.89 (0.62-1.29), 1.13 (0.61-2.10), 1.13 (0.88-1.47) and 1.87 (0.91-3.85) for the Ɛ3/Ɛ3, Ɛ2/Ɛ2, Ɛ2/Ɛ3, Ɛ2/Ɛ4, Ɛ3/Ɛ4 and Ɛ4/Ɛ4 genotypes, respectively. In a secondary analysis, Ɛ2/Ɛ3 genotype was associated with 41% lower prevalence odds of low high-density lipoprotein [multivariable adjusted ORs (95% confidence interval) = 0.59 (0.36-0.95)] compared with Ɛ3/Ɛ3 genotype. CONCLUSIONS: Our findings do not support an association between Apo E polymorphism and MetS in a multicentre population-based study of predominantly White US men and women.

Prevalence and changes over time of ideal cardiovascular health metrics among African-Americans: the Jackson Heart Study.

OBJECTIVES: The aim of this study is to assess the prevalence and changes over time of ideal Life's Simple Seven (LSS) in African-Americans. METHODS: Prospective cohort of 5301 African-Americans from the Jackson Heart Study (JHS) from 2000 to 2013. Each of the LSS metrics was categorized as poor, intermediate, or ideal. RESULTS: Among men, the prevalence of having 0, 1, 2, 3, 4, 5, 6, and 7 ideal LSS was 3.3%, 23.0%, 33.5%, 24.7%, 11.6%, 3.6%, 0.3%, and 0%, respectively. Corresponding values for women were 1.7%, 26.3%, 33.1%, 22.8%, 11.9%, 3.7%, 0.6%, and 0%. Prevalence of ideal diet was 0.9%. The proportions of those meeting LSS ideal recommendations for cholesterol and fasting glucose declined from the first through third JHS visits across all age groups, whereas prevalence of ideal BMI declined only in participants <40 years at a given visit. Prevalence of ideal blood pressure did not change over time and being ideal on physical activity improved from the first [18.3% (95% CI: 17.3% to 19.3%)] to third visit [24.8% (95% CI: 23.3% to 26.3%)]. CONCLUSIONS: Our data show a low prevalence of ideal LSS (especially diet, physical activity, and obesity) in the JHS and a slight improvement in adherence to physical activity recommendations over time.

Repeated versus single measurement of plasma omega-3 fatty acids and risk of heart failure.

PURPOSE: Studies have previously examined the relation between a single measure of plasma fatty acids and risk of heart failure. However, it is unclear whether the use of repeated measures of fatty acids over time is required for the assessment of omega-3 fatty acids heart failure relation. METHODS: Using a nested case-control design, this ancillary study used 421 cases and 421 matched controls from the Physicians' Health Study to assess the variability of plasma phospholipid fatty acids over time and compare the results of omega-3 fatty acids heart failure associations using a single versus repeated measurements of plasma phospholipid fatty acids. Plasma omega-3 fatty acids were measured at baseline (1982) and approximately 15 years later using gas chromatography. RESULTS: Spearman's correlation coefficients between baseline and follow-up measures of α-linolenic acid (ALA), EPA, DPA, and DHA were 0.20, 0.45, 0.28, and 0.50, respectively, in the control series. Multivariable adjusted odds ratios for heart failure per standard deviation higher plasma ALA were 0.98 (95% CI 0.85-1.13) when using baseline ALA and 0.86 (95% CI 0.74-1.01) when using the average of baseline and follow-up ALA measurements. Corresponding odds ratios for total long chain omega-3 FAs (EPA + DHA + DPA) were 0.87 (0.73-1.03) and 0.88 (0.75-1.04). CONCLUSIONS: Our data demonstrate modest correlation between measurements of plasma phospholipid fatty acids spaced by 15 years. A single measurement of plasma phospholipid fatty acids appears reasonable to estimate the risk of heart failure over long-term follow-up.

Risk of Arterial and Venous Thrombotic Events Among Patients with COVID-19: A Multi-National Collaboration of Regulatory Agencies from Canada, Europe, and United States.

Purpose: Few studies have examined how the absolute risk of thromboembolism with COVID-19 has evolved over time across different countries. Researchers from the European Medicines Agency, Health Canada, and the United States (US) Food and Drug Administration established a collaboration to evaluate the absolute risk of arterial (ATE) and venous thromboembolism (VTE) in the 90 days after diagnosis of COVID-19 in the ambulatory (eg, outpatient, emergency department, nursing facility) setting from seven countries across North America (Canada, US) and Europe (England, Germany, Italy, Netherlands, and Spain) within periods before and during COVID-19 vaccine availability. Patients and Methods: We conducted cohort studies of patients initially diagnosed with COVID-19 in the ambulatory setting from the seven specified countries. Patients were followed for 90 days after COVID-19 diagnosis. The primary outcomes were ATE and VTE over 90 days from diagnosis date. We measured country-level estimates of 90-day absolute risk (with 95% confidence intervals) of ATE and VTE. Results: The seven cohorts included 1,061,565 patients initially diagnosed with COVID-19 in the ambulatory setting before COVID-19 vaccines were available (through November 2020). The 90-day absolute risk of ATE during this period ranged from 0.11% (0.09-0.13%) in Canada to 1.01% (0.97-1.05%) in the US, and the 90-day absolute risk of VTE ranged from 0.23% (0.21-0.26%) in Canada to 0.84% (0.80-0.89%) in England. The seven cohorts included 3,544,062 patients with COVID-19 during vaccine availability (beginning December 2020). The 90-day absolute risk of ATE during this period ranged from 0.06% (0.06-0.07%) in England to 1.04% (1.01-1.06%) in the US, and the 90-day absolute risk of VTE ranged from 0.25% (0.24-0.26%) in England to 1.02% (0.99-1.04%) in the US. Conclusion: There was heterogeneity by country in 90-day absolute risk of ATE and VTE after ambulatory COVID-19 diagnosis both before and during COVID-19 vaccine availability.

Risk of admission to hospital with arterial or venous thromboembolism among patients diagnosed in the ambulatory setting with covid-19 compared with influenza: retrospective cohort study.

Objective: To measure the 90 day risk of arterial thromboembolism and venous thromboembolism among patients diagnosed with covid-19 in the ambulatory (ie, outpatient, emergency department, or institutional) setting during periods before and during covid-19 vaccine availability and compare results to patients with ambulatory diagnosed influenza. Design: Retrospective cohort study. Setting: Four integrated health systems and two national health insurers in the US Food and Drug Administration's Sentinel System. Participants: Patients with ambulatory diagnosed covid-19 when vaccines were unavailable in the US (period 1, 1 April-30 November 2020; n=272 065) and when vaccines were available in the US (period 2, 1 December 2020-31 May 2021; n=342 103), and patients with ambulatory diagnosed influenza (1 October 2018-30 April 2019; n=118 618). Main outcome measures: Arterial thromboembolism (hospital diagnosis of acute myocardial infarction or ischemic stroke) and venous thromboembolism (hospital diagnosis of acute deep venous thrombosis or pulmonary embolism) within 90 days after ambulatory covid-19 or influenza diagnosis. We developed propensity scores to account for differences between the cohorts and used weighted Cox regression to estimate adjusted hazard ratios of outcomes with 95% confidence intervals for covid-19 during periods 1 and 2 versus influenza. Results: 90 day absolute risk of arterial thromboembolism with covid-19 was 1.01% (95% confidence interval 0.97% to 1.05%) during period 1, 1.06% (1.03% to 1.10%) during period 2, and with influenza was 0.45% (0.41% to 0.49%). The risk of arterial thromboembolism was higher for patients with covid-19 during period 1 (adjusted hazard ratio 1.53 (95% confidence interval 1.38 to 1.69)) and period 2 (1.69 (1.53 to 1.86)) than for patients with influenza. 90 day absolute risk of venous thromboembolism with covid-19 was 0.73% (0.70% to 0.77%) during period 1, 0.88% (0.84 to 0.91%) during period 2, and with influenza was 0.18% (0.16% to 0.21%). Risk of venous thromboembolism was higher with covid-19 during period 1 (adjusted hazard ratio 2.86 (2.46 to 3.32)) and period 2 (3.56 (3.08 to 4.12)) than with influenza. Conclusions: Patients diagnosed with covid-19 in the ambulatory setting had a higher 90 day risk of admission to hospital with arterial thromboembolism and venous thromboembolism both before and after covid-19 vaccine availability compared with patients with influenza.

Risk of Psychiatric Adverse Events Among Montelukast Users.

BACKGROUND: There have been conflicting results from observational studies regarding the risk of psychiatric adverse events (PAEs) with montelukast use. OBJECTIVE: To determine whether there are associations of depressive disorders, self-harm, and suicide with use of montelukast compared with inhaled corticosteroid (ICS) use. METHODS: Using data from the Sentinel Distributed Database from January 1, 2000, to September 30, 2015, patients (n = 457,377) exposed to montelukast or ICS, aged 6 years and older with a diagnosis of asthma, were matched 1:1 on propensity scores. Hazard ratios (HRs) and 95% CIs were estimated for each study outcome overall and by age, sex, psychiatric history, and pre-/post-2008 labeling updates using Cox proportional hazards regression models. RESULTS: Exposure to montelukast was associated with a lower risk of treated outpatient depressive disorder (HR, 0.91; 95% CI, 0.89-0.93). No increased risks of inpatient depressive disorder (HR, 1.06; 95% CI, 0.90-1.24), self-harm (HR, 0.92; 95% CI, 0.69-1.21), or self-harm using a modified algorithm (HR, 0.81; 95% CI, 0.63-1.05) were observed with montelukast use compared with ICS use. Most PAEs occurred in the roughly one-third of patients having a past psychiatric history. CONCLUSIONS: When compared with use of ICS, we did not find associations between montelukast use and hospitalizations for depression or self-harm events. Our findings should be interpreted considering the study's limitations. Psychiatric comorbidity was common, and most PAEs occurred in patients with a past psychiatric history.

Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol.

BACKGROUND: Certain medications may increase the risk of death or death from specific causes (eg, sudden cardiac death), but these risks may not be identified in premarket randomized trials. Having the capacity to examine death in postmarket safety surveillance activities is important to the US Food and Drug Administration's (FDA) mission to protect public health. Distributed networks of electronic health plan databases used by the FDA to conduct multicenter research or medical product safety surveillance studies often do not systematically include death or cause-of-death information. OBJECTIVE: This study aims to develop reusable, generalizable methods for linking multiple health plan databases with the Centers for Disease Control and Prevention's National Death Index Plus (NDI+) data. METHODS: We will develop efficient administrative workflows to facilitate multicenter institutional review board (IRB) review and approval within a distributed network of 6 health plans. The study will create a distributed NDI+ linkage process that avoids sharing of identifiable patient information between health plans or with a central coordinating center. We will develop standardized criteria for selecting and retaining NDI+ matches and methods for harmonizing linked information across multiple health plans. We will test our processes within a use case comprising users and nonusers of antiarrhythmic medications. RESULTS: We will use the linked health plan and NDI+ data sets to estimate the incidences and incidence rates of mortality and specific causes of death within the study use case and compare the results with reported estimates. These comparisons provide an opportunity to assess the performance of the developed NDI+ linkage approach and lessons for future studies requiring NDI+ linkage in distributed database settings. This study is approved by the IRB at Harvard Pilgrim Health Care in Boston, MA. Results will be presented to the FDA at academic conferences and published in peer-reviewed journals. CONCLUSIONS: This study will develop and test a reusable distributed NDI+ linkage approach with the goal of providing tested NDI+ linkage methods for use in future studies within distributed data networks. Having standardized and reusable methods for systematically obtaining death and cause-of-death information from NDI+ would enhance the FDA's ability to assess mortality-related safety questions in the postmarket, real-world setting. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21811.

Evaluation of Switching Patterns in FDA's Sentinel System: A New Tool to Assess Generic Drugs.

INTRODUCTION: Nearly 90% of drugs dispensed in the US are generic products. OBJECTIVE: The aim of this study was to develop and implement a tool for analyzing manufacturer-level drug utilization and switching patterns within the US Food and Drug Administration's Sentinel system. METHODS: A descriptive tool was designed to analyze data in the Sentinel common data model and was tested with two case studies-metoprolol extended release (ER) and lamotrigine ER-using claims data from four Sentinel data partners. We plotted initiators of each brand and generic product over time. For metoprolol ER, we evaluated rates of switching from generics around the time of manufacturing issues. For lamotrigine ER, we examined rates of switching back to the brand among those who switched from brand to generic. RESULTS: We identified 1,651,285 initiators of metoprolol ER products between July 2008 and September 2015. We observed a large decrease in monthly metoprolol ER initiators (from 25,465 in December 2008 to 13,128 in February 2009), corresponding to recalls by generic manufacturers. We observed simultaneous increases in utilization of the authorized generic and brand products. We identified 4266 initiators of lamotrigine ER with an epilepsy diagnosis between January 2012 and September 2015. Among those who switched from brand to generic, the cumulative incidence of switching back was close to 20% at 2 years. Switchback rates were higher for the first available generic products. CONCLUSIONS: This developed tool was able to elucidate novel utilization and switching patterns in two case studies. Such information can be used to support surveillance of generic drugs and biosimilars.

Dietary vitamin D and risk of heart failure in the Physicians' Health Study.

BACKGROUND: Experimental studies have demonstrated the role of vitamin D in key pathways related to cardiovascular health. While several studies have investigated the impact of vitamin D therapy on outcomes in subjects with prevalent heart failure, limited research exists on the relationship of dietary vitamin D consumption with the risk of heart failure. Thus, we sought to investigate whether dietary vitamin D consumption was associated with a lower risk of incident heart failure in a large prospective cohort of male physicians. METHODS AND RESULTS: We prospectively studied 19,635 males from the Physicians' Health Study. Dietary vitamin D information was obtained from a baseline food frequency questionnaire, and heart failure information was obtained by questionnaire and validated in a subsample. Mean age was 66.4 years. Median dietary vitamin D consumption was 200.4 IU and only 2.3% of the subjects used vitamin D supplements. After an average follow-up of 9.3 years, there were 858 new cases of heart failure identified. Higher intake of dietary vitamin D was not associated with incident heart failure in a multivariable adjusted model: hazard ratios (95% CI) of incident heart failure were 1.0 (reference), 1.29 (1.04-1.60), 1.17 (0.94-1.46), 1.22 (0.98-1.53), and 1.16 (0.92-1.46) from lowest to highest age- and energy-adjusted vitamin D quintile, respectively, after adjusting for age, BMI, race, exercise, alcohol use, smoking, calories, and prevalent atrial fibrillation (p for linear trend = 0.64). CONCLUSIONS: These data are consistent with a lack of an association between dietary vitamin D and incident heart failure in this population of professionally-employed middle-aged males.

Egg consumption and risk of type 2 diabetes among African Americans: The Jackson Heart Study.

BACKGROUND & AIMS: Type 2 diabetes (DM) disproportionally affects African Americans. Data on the association between egg consumption and risk of DM are sparse. We sought to examine whether egg consumption is associated with the prevalence and incidence of DM among African Americans. METHODS: We analyzed baseline data from 4568 participants of the Jackson Heart Study. Egg consumption was obtained using a food frequency questionnaire designed for this population. We used generalized estimating equations to calculate adjusted prevalence ratios of DM and Cox regression to estimate hazard ratios of DM with corresponding 95% confidence intervals (CI). RESULTS: The average age was 55 ± 13 years and 64% of subjects were women. The median frequency of egg consumption was 2/week for men and 1/week for women. The prevalence of DM was 22% overall (21% of men and 23% of women). Multivariable adjusted prevalence ratio [PR (95% CI)] for DM were: 1.00 (ref), 1.14 (0.90-1.44), 1.33 (1.04-1.70), 1.33 (1.06-1.68), 1.26 (0.99-1.61), and 1.52 (1.17-1.97) for egg consumption of <1/month, 1-3/month, 1/week, 2/week, 3-4/week, and 5+/week, respectively, p for linear trend 0.0024. Corresponding multivariable adjusted hazard ratios were 1.00 (ref), 0.88 (0.65-1.19), 0.94 (0.68-1.30), 0.91 (0.66-1.25), 1.11 (0.81-1.52), and 1.17 (0.81-1.70), respectively, during a mean follow up of 7.3 years (p for linear trend 0.22). CONCLUSIONS: While egg consumption was positively associated with prevalent DM, prospective analysis did not show an association of egg intake with incidence of DM among African Americans.

Consumption of fried foods and risk of heart failure in the physicians' health study.

BACKGROUND: Consumption of fried foods is highly prevalent in the Western dietary pattern. Though limited studies have reported a positive association between frequency of fried food intake and risk of coronary artery disease, diabetes, or hypertension, other investigators failed to report such an association. It is unclear whether intake of fried foods is associated with a higher risk of heart failure (HF). Hence, we sought to examine the association between the frequency of fried food consumption and the risk of HF. METHODS AND RESULTS: This was a prospective cohort study of 15 362 participants from the Physicians' Health Study. Fried food intake frequency was assessed by a food frequency questionnaire (1997-2001), and incident HF was captured by annual questionnaires. We used Cox regression to calculate hazard ratios (HRs) of HF. After an average follow-up of 9.6 ± 2.4 years, a total of 632 new HF cases occurred in this cohort. Compared to subjects who reported fried food consumption of <1 per week, HRs (95% CI) for HF were 1.24 (1.04 to 1.48), 1.28 (1.00 to 1.63), and 2.03 (1.37 to 3.02) for fried food intake of 1 to 3/week, 4 to 6/week, and 7+/week, respectively, after adjustment for age, energy intake, alcohol use, exercise, smoking, and overall diet score (P linear trend, 0.0002). Similar results were obtained for intake of fried foods at home or away from home and among subjects with higher dietary score or HF without antecedent myocardial infarction. CONCLUSIONS: Our data are consistent with a positive association of fried food intake frequency with incident HF in male physicians.