Publications by authors named "Sean Hennessy"

The cardiovascular risks of exogenous testosterone have been a subject of controversy. In this study, our objective was to examine the association between testosterone (versus glaucoma treatments as an active comparator, with no assumed effect) and the new onset of cardiovascular, cerebrovascular and thromboembolic adverse events, in a US commercial insurance database. Data was analyzed by three complementary designs: inverse propensity score weighting (IPSW), calendar time instrumental variable (IV) and instrumented difference-in-differences (iDiD).

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Data from sources other than traditional randomized clinical trials are known as real-world data (RWD), and the evidence derived from the review and analysis of RWD is known as real-world evidence (RWE). RWD and RWE are used increasingly throughout the lifecycle of medicinal products to provide evidence about their effectiveness and safety. Recent regulatory guidance about RWE and approvals based on the use of RWE to demonstrate beneficial effects of products have created an urgency to develop generally accepted processes that promote trust in the evidence-generation process.

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Characterizing heterogeneity of treatment effects (HTE) is a fundamental goal of pharmacoepidemiology, addressing why medications work differently across patient populations. This paper reviews state-of-the-art methods for studying HTE using real-world data (RWD), which offer larger study sizes and more diverse patient populations compared to randomized clinical trials. The paper first defines HTE and discusses its measurement.

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Importance: No large randomized clinical trial has directly compared empagliflozin with dapagliflozin, leaving their comparative effectiveness regarding kidney outcomes unknown.

Objective: To compare kidney outcomes between initiation of empagliflozin vs dapagliflozin in adults with type 2 diabetes who were receiving antihyperglycemic treatment.

Design, Setting, And Participants: This target trial emulation used nationwide, population-based routinely collected Danish health care data to compare initiation of empagliflozin vs dapagliflozin in adults with type 2 diabetes who received antihyperglycemic treatment between June 1, 2014, and October 31, 2020.

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Drug-drug interactions (DDIs) represent a significant concern for clinical care and public health, but the health consequences of many DDIs remain largely underexplored. This knowledge gap underscores the critical need for pharmacoepidemiologic research to evaluate real-world health outcomes of DDIs. In this review, we summarize the definitions commonly used in pharmacoepidemiologic DDI studies, discuss common sources of bias, and illustrate through examples how these biases can be mitigated.

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Insulin secretagogues and angiotensin-converting enzyme inhibitors (ACEIs) are commonly co-prescribed for patients with type 2 diabetes (T2D). Case reports suggesting that co-administration of insulin secretagogues with ACEIs is associated with an increased risk of serious hypoglycemia have led to warnings regarding a drug-drug interaction in widely used drug compendia. However, subsequent studies have had inconsistent results.

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  • The study aimed to create a Hepatotoxicity Score to better evaluate the safety of medications affecting the liver, considering the challenge posed by the simultaneous use of other harmful drugs.
  • Researchers analyzed data from the Veterans Health Administration from 2000 to 2021, focusing on 193 medications linked to liver issues and monitoring hospitalization rates for severe liver injuries.
  • Results showed that adjusting for the Hepatotoxicity Score altered the perceived risks of specific drugs like lansoprazole and pantoprazole when compared to omeprazole, suggesting the score can help clarify drug safety in real-world scenarios.
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Background: Stopping or reducing risky or unneeded medications ("deprescribing") could improve older adults' health. Electronic health data can support observational and intervention studies of deprescribing, but there are no standardized measures for key variables, and healthcare systems have differing data types and availability. We developed definitions for chronic medication use and discontinuation based on electronic health data and applied them in a case study of benzodiazepines and Z-drugs in five diverse US healthcare systems.

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Objective: Prior studies demonstrate that some untoward clinical outcomes vary by outdoor temperature. This is true of some endpoints common among persons with diabetes, a population vulnerable to climate change-associated health risks. Yet, prior work has been agnostic to the antidiabetes drugs taken by such persons.

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  • * A study using Medicaid claims from 2003 to 2020 assessed the overdose rates among users of methadone and different statins, specifically comparing P-gp-inhibiting statins (simvastatin, atorvastatin, lovastatin) with rosuvastatin as a control.
  • * Results showed no significant association between the use of P-gp-inhibiting statins and opioid overdose risk, indicating that using these statins alongside methadone may not increase the risk compared to using rosuvastatin.
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In a prior screening study, saxagliptin, a dipeptidyl peptidase-4 inhibitor (DPP-4i), was found to have an increased rate of serious bleeding when used concomitantly with several oral anticoagulants (OACs). We aimed to confirm or refute the associations between concomitant use of individual OACs and DPP-4is and serious bleeding in a large US database, using self-controlled case series (SCCS) and case-crossover (CCO) designs. The study population was eligible Medicare beneficiaries co-exposed to a DPP-4i (precipitant) and either an OAC (object drug) or lisinopril (negative control object drug) in 2016-2020.

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Background: Empagliflozin and dapagliflozin have proven cardiovascular benefits in people with type 2 diabetes at high cardiovascular risk, but their comparative effectiveness is unknown.

Methods: This study used nationwide, population-based Danish health registries to emulate a hypothetical target trial comparing empagliflozin versus dapagliflozin initiation, in addition to standard care, among people with treated type 2 diabetes from 2014 through 2020. The outcome was a composite of myocardial infarction, ischemic stroke, heart failure (HF), or cardiovascular death (major adverse cardiovascular event).

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Article Synopsis
  • The self-controlled case-series (SCCS) design is used in studies to evaluate drug-drug interactions (DDIs), focusing on the comparison of incidence rates when taking two drugs together versus one alone.
  • Inaccuracies can arise when inferring day-level drug exposure from dispensing claims, which may lead to biased incidence rate ratios (IRRs), particularly when using grace periods that assume treatment effects continue after medication runs out.
  • Research findings indicate that misclassifying the precipitant (the drug causing the interaction) consistently biases the IRR towards null, while misclassifying the object drug can bias it in various directions; to reduce bias, it is recommended to avoid grace periods for object drugs and include a washout period after
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Objective: To assess trends in antibiotic use across a large cohort of extremely low birth-weight (<1000 g; ELBW) infants admitted to academic and community neonatal intensive care units (NICUs) across the USA over a 13-year period.

Design: Repeated cross-sectional cohort study.

Setting: Premier Health Database, a comprehensive administrative database of inpatient encounters from academic and community hospitals across the US.

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  • Direct-acting oral anticoagulants (DOACs) are often prescribed alongside antiseizure medications (ASMs) for patients with both atrial fibrillation (AF) and epilepsy, but enzyme-inducing ASMs may lower DOAC effectiveness, increasing the risk of thromboembolism.
  • The study aimed to compare rates of thromboembolic and major bleeding events in adults with AF and epilepsy using DOACs alongside enzyme-inducing ASMs versus those using non-enzyme-inducing ASMs.
  • Results showed an incidence of 88.5 thromboembolic events and 68.3 major bleeding events per 1000 person-years; using enzyme-inducing ASMs was associated with higher
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Importance: Current approaches to classify the hepatotoxic potential of medications are based on cumulative case reports of acute liver injury (ALI), which do not consider the size of the exposed population. There is little evidence from real-world data (data relating to patient health status and/or the delivery of health care routinely collected from sources outside of a research setting) on incidence rates of severe ALI after initiation of medications, accounting for duration of exposure.

Objective: To identify the most potentially hepatotoxic medications based on real-world incidence rates of severe ALI and to examine how these rates compare with categorization based on case reports.

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The global rise in polypharmacy has increased both the necessity and complexity of drug-drug interaction (DDI) assessments, given the growing potential for interactions involving more than two drugs. Leveraging large-scale healthcare claims data, we piloted a semi-automated, high-throughput case-crossover-based approach for drug-drug-drug interaction (3DI) screening. Cases were direct-acting oral anticoagulant (DOAC) users with either a major bleeding event during ongoing dispensings for potentially interacting, enzyme-inhibiting antihypertensive drugs (AHDs) (Study 1), or a thromboembolic event during ongoing dispensings for potentially interacting, enzyme-inducing antiseizure medications (ASMs) (Study 2).

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  • * Analyzing data from over 229,000 patients who started statin therapy, researchers found that a 10% increase in adherence to statins correlated with a lower likelihood of dying on very hot days (≥39°C).
  • * Results indicate that this protective effect is more pronounced in men than women, suggesting the potential benefits of statin adherence during heat waves.
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Concurrent use of skeletal muscle relaxants (SMRs) and opioids has been linked to an increased risk of injury. However, it remains unclear whether the injury risks differ by specific SMR when combined with opioids. We conducted nine retrospective cohort studies within a US Medicaid population.

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  • Hypertension is a major global health issue, marked by high rates of medication nonadherence, which traditional surveys struggle to accurately assess due to various biases.
  • The study leveraged patient reviews from WebMD to analyze reasons for changes in angiotensin receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) using natural language processing.
  • Out of 343,459 reviews, the analysis revealed that a significant majority of users reported adverse events—primarily musculoskeletal issues for ARBs and respiratory problems for ACEIs—as the main reasons for adjusting their medications.
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Background: Overactive bladder (OAB) is a common non-motor symptom of Parkinson disease (PD), often treated with antimuscarinics or beta-3 agonists. There is lack of evidence to guide OAB management in PD.

Objectives: To assess the comparative safety of antimuscarinics versus beta-3 agonists for OAB treatment in PD.

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Purpose: High-dimensional propensity score (hdPS) is a semiautomated method that leverages a vast number of covariates available in healthcare databases to improve confounding adjustment. A novel combined Super Learner (SL)-hdPS approach was proposed to assist with selecting the number of covariates for propensity score inclusion, and was found in plasmode simulation studies to improve bias reduction and precision compared to hdPS alone. However, the approach has not been examined in the applied setting.

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  • Parkinson disease (PD) patients are at heightened risk for serious injuries, particularly fall-related fractures, and the study aims to explore how such injuries impact the prescription of potentially inappropriate medications (PIMs).
  • Using Medicare data from 2013-2017, researchers compared medication changes in PD patients hospitalized for injuries versus those hospitalized for other reasons, focusing on various categories of PIMs related to PD and bone health.
  • The study found that both groups reduced PIM use after hospitalization, but there were significant differences only in CNS-active PIMs and bone density-reducing medications, indicating potential missed opportunities to reevaluate high-risk prescriptions during patient transitions post-injury.
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Background: Usage of medication brand names in electronic health records may introduce conflicts of interest, perpetuate false perceptions of brand superiority, alter prescribing practices, and cause confusion leading to errors.

Objective: We sought to identify the frequency of brand name medication usage in clinical documentation, as well as factors associated with increased usage.

Designs, Settings, And Participants: We conducted a retrospective analysis of all clinical documentation written at our healthcare system (a multifacility academic urban healthcare system) between 2015 and 2020.

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