Citations

Background: Mitral annular disjunction (MAD) has recently been recognized as an arrhythmogenic entity. Data on the electrophysiological substrate as well as the outcomes of catheter ablation of ventricular arrhythmias in patients with MAD is limited. Methods: Forty patients with MAD (mean age 47±15 years; 70% female) underwent catheter ablation for ventricular arrhythmias. Detailed clinical, electrocardiographic, cardiac imaging, and procedural data were collected. Clinical outcomes were compared between patients who had substrate modification in the MAD area and those who did not. Results: Twenty-three (57.5%) patients had ablation for premature ventricular contractions, 10 (25%) patients for sustained ventricular tachycardia, and 7 (17.5%) patients for premature ventricular contraction-triggered ventricular fibrillation. Mean end-systolic MAD length was 10.58±3.49 mm on transthoracic echocardiography. Seventeen (42.5%) patients had preprocedural cardiac magnetic resonance imaging, and 5 (29%) patients had late gadolinium enhancement. Among the 18 (45%) patients who had abnormal local electrograms (low voltage, long-duration, fractionated, isolated mid-diastolic potentials) during electroanatomical mapping, 10 (25%) patients had abnormal electrograms in the anterolateral mitral annulus and/or MAD area. Substrate modification was performed in 10 (25%) patients. Catheter ablation was acutely successful in 36 (90%) patients (elimination of premature ventricular contraction or noninducibility of ventricular tachycardia). After a median follow-up duration of 54.08 (interquartile range, 10.67–89.79) months, premature ventricular contraction burden decreased from a median of 9.75% (interquartile range, 3.25–14) before the ablation to a median of 4% (interquartile range, 1–7.75) after the ablation ( P =0.03 [95% CI, 0.055–6.5]). Eight (20.5%) patients had repeat ablation for ventricular arrhythmias. Substrate modification of the MAD was associated with a trend toward lower rates of repeat ablation (0% versus 26.7%; P =0.16). Conclusions: Patients with MAD have a complex arrhythmogenic substrate, and catheter ablation is effective in reducing recurrence of ventricular arrhythmias. Substrate mapping and ablation may be considered in these patients.

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal­ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical “multi‐omic” measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point‐of‐care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features – especially during depressive episodes – and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally‐oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point‐of‐care.

Abstract Background Although telehealth holds promise in expanding access to orthopaedic surgical care, high-speed internet connectivity remains a major limiting factor for many communities. Despite persistent federal efforts to study and address the health information technology needs of patients, there is limited information regarding the current high-speed internet landscape as it relates to access to orthopaedic surgical care. Questions/purposes (1) What is the distribution of practicing orthopaedic surgeons in the United States relative to the presence of broadband internet access? (2) What geographic, demographic, and socioeconomic factors are associated with the absence of high-speed internet and access to a local orthopaedic surgeon? Methods The Federal Communications Commission (FCC) Mapping Broadband in America interactive tool was used to determine the proportion of county residents with access to broadband-speed internet for all 3141 US counties. Data regarding the geographic distribution of orthopaedic surgeons and county-level characteristics were obtained from the 2015 Physician Compare National Downloadable File and the Area Health Resource File, respectively. The FCC mapping broadband public use files are considered the most comprehensive datasets describing high-speed internet infrastructure within the United States. The year 2015 represents the most recently available FCC data for which county-level broadband penetration estimates are available. Third-party audits of the FCC data have shown that broadband expansion has been slow over the past decade and that many large improvements have been driven by changes in the reporting methodology. Therefore, we believe the 2015 FCC data still hold relevance. The primary outcome measure was the simultaneous absence of at least 50% broadband penetration and at least one orthopaedic surgeon practicing in county limits. Statistical analyses using Kruskal-Wallis tests and multivariable logistic regression were conducted to assess for factors associated with inaccessibility to orthopaedic telehealth. All statistical tests were two-sided with a significance threshold of p < 0.05. Results In 2015, 14% (448 of 3141) of counties were considered “low access” in that they both had no orthopaedic surgeons and possessed less than 50% broadband access. A total of 4,660,559 people lived within these low-access counties, representing approximately 1.4% (4.6 million of 320.7 million) of the US population. After controlling for potential confounding variables, such as the age, sex, income level, and educational attainment, lower population density per square mile (OR 0.92 [95% confidence interval (CI) 0.90 to 0.94]; p < 0.01), a lower number of primary care physicians per 100,000 (OR 0.88 [95% CI 0.81 to 0.97]; p < 0.01), a higher unemployment level (OR 1.3 [95% CI 1.2 to 1.4]; p < 0.01), and greater number preventable hospital stays per 100,000 (OR 1.01 [95% CI 1.01 to 1.02]; p < 0.01) were associated with increased odds of being a low-access county (though the effect size of the finding was small for population density and number of primary care physicians). Stated another way, each additional person per square mile was associated with an 8% (95% CI 6% to 10%; p < 0.01) decrease in the odds of being a low-access county, and each additional percentage point of unemployment was associated with a 30% (95% CI 20% to 40%) increase in the odds of being a low-access county. Conclusion Despite the potential for telehealth programs to improve the delivery of high-quality orthopaedic surgical care, broadband internet access remains a major barrier to implementation. Until targeted investments are made to expand broadband infrastructure across the country, health systems, policymakers, and surgeon leaders must capitalize on existing federal subsidy programs, such as the lifeline or affordability connectivity initiatives, to reach unemployed patients living in economically depressed regions. The incorporation of internet access questions into clinic-based social determinants screening may facilitate the development of alternative follow-up protocols for patients unable to participate in synchronous videoconferencing. Clinical Relevance Some orthopaedic patients lack the broadband capacity necessary for telehealth visits, in which case surgeons may pursue alternative methods of follow-up such as mobile phone–based surveillance of postoperative wounds, surgical sites, and clinical symptoms.

AbstractThe temporal evolutions and relative orderings of Alzheimer disease biomarkers, including CSF amyloid-β42 (Aβ42), Aβ40, total tau (Tau) and phosphorylated tau181 (pTau181), standardized uptake value ratio (SUVR) from the molecular imaging of cerebral fibrillar amyloid-β with PET using the 11C-Pittsburgh Compound-B (PiB), MRI-based hippocampal volume and cortical thickness and cognition have been hypothesized but not yet fully tested with longitudinal data for all major biomarker modalities among cognitively normal individuals across the adult lifespan starting from 18 years. By leveraging a large harmonized database from 8 biomarker studies with longitudinal data from 2609 participants in cognition, 873 in MRI biomarkers, 519 in PET PiB imaging and 475 in CSF biomarkers for a median follow-up of 5–6 years, we estimated the longitudinal trajectories of all major Alzheimer disease biomarkers as functions of baseline age that spanned from 18 to 103 years, located the baseline age window at which the longitudinal rates of change accelerated and further examined possible modifying effects of apolipoprotein E (APOE) genotype. We observed that participants 18–45 years at baseline exhibited learning effects on cognition and unexpected directions of change on CSF and PiB biomarkers. The earliest acceleration of longitudinal change occurred for CSF Aβ42 and Aβ42/Aβ40 ratio (with an increase) and for Tau, and pTau181 (with a decrease) at the next baseline age interval of 45–50 years, followed by an accelerated increase for PiB SUVR at the baseline age of 50–55 years and an accelerated decrease for hippocampal volume at the baseline age of 55–60 years and finally by an accelerated decline for cortical thickness and cognition at the baseline age of 65–70 years. Another acceleration in the rate of change occurred at the baseline age of 65–70 years for Aβ42/Aβ40 ratio, Tau, pTau181, PiB SUVR and hippocampal volume. Accelerated declines in hippocampal volume and cognition continued after 70 years. For participants 18–45 years at baseline, significant increases in Aβ42 and Aβ42/Aβ40 ratio and decreases in PiB SUVR occurred in APOE ɛ4 non-carriers but not carriers. After age 45 years, APOE ɛ4 carriers had greater magnitudes than non-carriers in the rates of change for all CSF biomarkers, PiB SUVR and cognition. Our results characterize the temporal evolutions and relative orderings of Alzheimer disease biomarkers across the adult lifespan and the modification effect of APOE ɛ4. These findings may better inform the design of prevention trials on Alzheimer disease.