Background: Remote Monitoring (RM) of cardiac implantable electronic devices (CIEDs) is recommended in management of Atrial Fibrillation (AF), which is a recognized risk factor for thromboembolism. We tried to elucidate whether stroke incidence observed in a large, remotely monitored population was consistent with the CHA2DS2VASc risk profile.
Methods: Data from 1650 patients [76% male, age 72 (63-68), CHA2DS2VASc score 3.0 (2.0-4.0)] enrolled during the HomeGuide study and monitored with a daily-transmission RM system providing automatic alerts for AF, were analysed. Of those, 25% had a pacemaker and 75% an implantable cardioverter defibrillator with or without cardiac resynchronization. Estimations of the expected thromboembolic events were based on the population CHA2DS2VASc score profile used in a computer-simulated Markov model.
Results: Eight thromboembolic events were observed with a 4-year cumulative stroke rate of 0.8% (confidence interval, 0.4%-1.5%). Simulations returned from 18.7 to 17.1 expected events, depending on the AF duration assumed to trigger anticoagulation (one-sample log-rank p<0.03). During the study period, 681 (84%) AF episodes and 129 (16%) atrial tachycardias were detected in 291 patients (18%): 93% of episodes were detected remotely in 269 patients, 66% of whom had no history of AF. Medical interventions were necessary in 305 episodes, 85% of which were detected remotely. Reaction time was 1 (0-6) days for remotely-detected episodes and 33 (14-121) days for episodes detected in clinic (p<0.0001).
Conclusions: In a large CIED population followed remotely for up to 4years, the incidence of thromboembolic events was less than half the estimations based on the CHA2DS2VASc risk profile.
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http://dx.doi.org/10.1016/j.ijcard.2016.06.016 | DOI Listing |
Alzheimers Dement
December 2024
Geriatric Research Education & Clinical Center, VA Bedford Healthcare System, Bedford, MA, USA.
Background: Cerebral amyloid angiopathy (CAA) is a significant contributor to hemorrhagic stroke, notably lobar intracerebral hemorrhage (ICH) and convexity subarachnoid hemorrhage (SAH). This study describes the natural occurrence of ICH and SAH events among veterans, including those with AD, within the United States Veterans Affairs Healthcare System (VAHS).
Method: The VAHS database was evaluated to identify ICD-10 codes for ICH (I61.
Background: It is more ideal to manage dementia patients in memory clinics but not all of them are referred to such clinics. Also, the characteristics of these patients are less studied and local published data is limited. In 2004, the Neuro-cognitive Clinic of Alice Ho Miu Ling Nethersole Hospital was established.
View Article and Find Full Text PDFStroke
January 2025
Department of Neurosurgery, Oslo University Hospital-Rikshospitalet, Norway (P.K.E., A.L., P.A.R., A.G.S., L.M.V.).
Background: Subarachnoid hemorrhage (SAH) is associated with significant mortality and morbidity. The impact of SAH on human glymphatic function remains unknown.
Methods: This prospective, controlled study investigated whether human glymphatic function is altered after SAH, how it differs over time, and possible underlying mechanisms.
Circ Cardiovasc Qual Outcomes
January 2025
Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA. (L.T., K.S.D., K.P.T., J.D.B.).
Background: Food insecurity is associated with high morbidity and mortality and is typically measured with the 10-item US Adult Food Security Survey Module. Shorter instruments may capture similar information, but this has not been validated against mortality in general populations.
Methods: A nationally representative sample of individuals aged 20 to 74 years from the US National Health Interview Survey 2011 to 2018 was included, with deaths linked to the National Death Index through 2019.
Alzheimer Dis Assoc Disord
January 2025
Departments of Psychiatry.
Introduction: Postoperative cognitive decline (POCD) is a common, but often unrecognized condition after surgery. We evaluate postsurgical cognitive changes in a longitudinal population-based study.
Methods: The study cohort comprises an age-stratified population-based random sample of individuals aged 65+ years from a small-town region of the United States.
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