Group-Based Trajectory Modeling A Retrospective Study To Assess Adherence To Direct Oral Anticoagulants or Warfarin Among Atrial Fibrillation Patients and Comorbid Hypertension, Diabetes Mellitus, and Hyperlipidemia: A Retrospective Study.

Background Poor adherence to oral anticoagulants is a significant problem in atrial fibrillation (AF), especially among patients with comorbid hypertension (HTN), diabetes mellitus (DM), and hyperlipidemia as it increases the risk for cardiac and thromboembolic events. Group-based trajectory modeling (GBTM) has been used to depict longitudinal patterns of adherence. Aim This primary objective was to describe adherence trajectory patterns of direct oral anticoagulants (DOACs) or warfarin among AF patients with HTN, DM, and hyperlipidemia using GBTM. The secondary objective was to report the clinical outcomes and concomitant drug use among DOAC/warfarin cohort Method This retrospective study was conducted among continuously enrolled Medicare Advantage Plan from January 2016-December 2019. AF patients were included in this study if they had comorbid HTN, DM, and hyperlipidemia with at least one pharmacy claim for warfarin/DOAC prescription. Monthly adherence to DOAC/warfarin was measured using proportion of days covered (PDC) and then modeled in a logistic GBTM to describe patterns of adherence. Patient’s demographic, clinical characteristics, and concomitant use of DOACs/warfarin with CYP3A4,P-gp inhibitors were measured and compared across trajectories. Results Among 317 patients, 137 (59.62%) and 79 (24.92%) were DOAC, and warfarin users, respectively. The trajectory model for DOACs included gradual decline in adherence (GD, 40.4%), adherent (38.8%), and rapid decline (RD, 20.8%). The trajectories for warfarin adherence included gradual decline (GD, 18.9%), adherence (59.4%), and gaps in adherence (GA, 21.7%). Conclusion Adherence to oral anticoagulants is suboptimal. Interventions tailored according to past adherence trajectories may be effective in improving patient’s adherence.

Identifying the Most Successful Formula 1 Drivers in the Turbo Era

Background: Formula 1 is the world’s fastest auto racing circuit and one that is among the most-watched of all televised sports. With its international flair and glamor and the glitz it brings to viewers and spectators, it is no surprise that fans, commentators, and media covering the races enjoy ranking the most successful teams and especially the most successful drivers of all time. Yet, there are few empirical studies that have developed and/or applied rigorous methodological techniques to examine which drivers are the most successful within the recent turbo-hybrid era. Objective: This study uses novel group-based trajectory methods to rank the most successful drivers within the turbo area, 2014-2019. Methods: Group-based trajectory methods are used to identify distinct groups of drivers according to accumulated points. Results: Using total points accumulated during each respective season as our measure of success, results showed that the 45 drivers who competed during this time period could be classified into three groups, with the top-performing group of drivers being Lewis Hamilton and Nico Rosberg. A second better-performing group of six drivers followed and included Bottas, LeClerc, Räikkönen, Ricciardo, Verstappen, and Vettel. The remaining 37 drivers were classified into a third low-performing group, a great number of which scored zero points during the time period. Conclusion: The most successful Formula 1 drivers during the turbo era were able to be identified using group-based trajectory modeling, with Lewis Hamilton and Nico Rosberg identified as the best drivers based on accumulated points.

Co-occurring Hearing Loss and Cognitive Decline in Older Adults: A Dual Group-Based Trajectory Modeling Approach

Hearing loss and cognitive impairments are both highly prevalent neurological complications for older adults. While there is growing evidence to suggest that these two conditions are interrelated, little research has been conducted that directly examines the progression and developmental trajectories of these complications contemporaneously. The aim of the study is to identify the distinct trajectory profiles for hearing loss and cognitive function in an older population over a 10-year period. Through dual trajectory modeling, the interrelationship, co-occurring movements, and overlaps between these two complications were examined. We also investigated the influence of hearing aid ownership on cognitive function trajectories. We utilized longitudinal data from 1,445 participants in the Blue Mountains Hearing Study (aged 55+ years) involving repeated measures from a population-based survey with audiometric hearing assessments. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). The group-based trajectory modeling (GBTM) identified three trajectory profiles for both hearing loss and cognitive function in two older age groups (55–69 years and 70+ years). The outputs from the dual trajectories models showed the conditional probability for “no hearing loss” trajectories to be around 90% more likely to have “high-normal” cognitive function, demonstrating co-occurring overlap. In contrast, for “moderate to severe hearing loss” trajectories, the conditional probability drops to 65% and 79% for the 55–69 age group and 70+ age group respectively. There was also an increasing probability for “cognitive decline” conditional on the severity of hearing loss with 6.7%, 7.5%, and 8.7% for no hearing loss, mild hearing loss, and moderate to severe hearing loss trajectory groups. While we did not find any statistically significant difference in the influence of hearing aid use in the cognitive function trajectories, there was a consistent greater representation of non-hearing aid users in the trajectories with poorer cognitive function. This study found GBTM to identify trajectories that were in agreement with our current understanding of hearing loss and cognitive impairment in older adults. This study also adds to the existing evidence-base as dual trajectories demonstrated co-occurrence in developmental changes in these two common neurological complications for the older population.