Objective: The recent Danish Study to Assess the Efficacy of ICDs in Patients with Non-ischemic Systolic Heart Failure on Mortality (DANISH) trial suggested that implantable cardioverter defibrillators (ICDs) do not reduce overall mortality in patients with non-ischaemic cardiomyopathy (NICM), despite reducing sudden cardiac death. We performed an updated meta-analysis to examine the impact of ICD therapy on mortality in NICM patients.
Methods: A systematic search for studies that examined the effect of ICDs on outcomes in NICM was performed. Our analysis compared patients randomised to an ICD with those randomised to no ICD, and examined the endpoint of overall mortality.
Results: Six primary prevention trials and two secondary prevention trials were identified that met the pre-specified search criteria. Using a fixed-effects model, analysis of primary prevention trials revealed a reduction in overall mortality with ICD therapy (RR 0.76, 95% CI 0.65 to 0.91).
Conclusions: Although our updated meta-analysis demonstrates a survival benefit of ICD therapy, the effect is substantively weakened by the inclusion of the DANISH trial-which is both the largest and most recent of the analysed trials-indicating that the residual pooled benefit of ICDs may reflect the risk of sudden death in older trials which included patients treated sub-optimally by contemporary standards. As such, these data must be interpreted cautiously. The results of the DANISH trial emphasise that there is no 'one size fits all' indication for primary prevention ICDs in NICM patients, and clinicians must consider age and comorbidity on an individual basis when determining whether a defibrillator is appropriate.
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http://dx.doi.org/10.1136/heartjnl-2016-310850 | DOI Listing |
Alzheimers Dement
December 2024
University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Background: Pharmacoepidemiologic studies assessing drug effectiveness for Alzheimer's disease and related dementias (ADRD) are increasingly popular given the critical need for effective therapies for ADRD. To meet the urgent need for robust dementia ascertainment from real-world data, we aimed to develop a novel algorithm for identifying incident and prevalent dementia in claims.
Method: We developed algorithm candidates by different timing/frequency of dementia diagnosis/treatment to identify dementia from inpatient/outpatient/prescription claims for 6,515 and 3,997 participants from Visits 5 (2011-2013; mean age 75.
Rationale: Prior work has shown a preference among most people with dementia and their families for comfort-focused care near the end-of-life. Nonetheless, intubation and mechanical ventilation are increasing over time without concurrent trends in improved survival, including among those with advanced dementia. A better understanding of prehospital decision-making about intubation for people with dementia will guide efforts to increase goal-concordant care at onset of critical illness.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Alzheimer's Disease & Brain Health, Eisai Inc., Nutley, NJ, USA.
Objective: Few studies have investigated trajectories in care among patients with Alzheimer's Disease (AD), especially Veterans who experience a unique set of AD risk factors and challenges in access to AD immunotherapy in the Veterans Affairs Healthcare System (VAHS) of the United States.
Methods: We analyzed trajectories in care based on electronic health records (EHR) among Veterans who were assessed for AD based on ICD-10 coding within the VAHS between Oct 2015 and Jan 2024. Among Veterans with an ICD-10 code for AD in the VAHS, we examined frequency distributions of clinical visits by physician specialty (primary care, neurologist, geriatrician, psychiatrist, and other specialties) where the initial AD ICD-10 coding was recorded.
JMIR Cardio
January 2025
Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Background: Stroke is a major cause of death and disability worldwide. Identifying individuals who would benefit most from preventative interventions, such as antiplatelet therapy, is critical for personalized stroke prevention. However, traditional methods for estimating treatment effects often focus on the average effect across a population and do not account for individual variations in risk and treatment response.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Background: Individuals with opioid use disorder (OUD) have a high prevalence of co-occurring mental health disorders; however, there exists little information on mental health service use for this population. We aimed to determine the prevalence of non-substance use-related mental health emergency department (ED) visits, hospitalizations, and outpatient physician visits for individuals receiving treatment for OUD over one year. We also explored individual-level characteristics associated with mental health care service use and estimated the costs of this care.
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