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BACKGROUND: Aortic stenosis (AS) is a prevalent disease in the elderly population and has been a public health concern for decades. YouTube is currently being used for obtaining healthcare related information. We evaluated the quality of information about AS on YouTube for patient education. METHODS: YouTube was queried for the search phrases "aortic valve stenosis", "aortic valve replacement", "transcatheter aortic valve replacement" and "TAVR". Videos were assessed for their reliability and content with two five-point scales. They were categorized into groups according to usefulness and uploader source. All videos were assessed for audience interaction. Videos were viewed and analyzed by 2 independent investigators. Conflicts were resolved by a third investigator. RESULTS: Search phrases yielded 69,300 videos, among which, 120 videos were evaluated and 85 videos were included in the final analysis. Of the 85 videos, only 45 videos (53%) were found to be useful while 40 videos (47%) were found to be non-useful. The majority (98%) of the useful videos were uploaded by professional sources. Overall, videos uploaded by non-professional sources had higher number of views (23,553 vs. 11,110, P≤0.001) despite of being less useful (14% vs. 67%, P<0.001) when compared to videos uploaded by professional sources. CONCLUSIONS: There is a potential to increase public awareness about aortic valve stenosis and the available treatment options by utilizing YouTube. Professional societies are encouraged to provide more useful material that can deliver comprehensive and reliable information in an entertaining and intuitive manner to the public.

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PURPOSE: To measure the inter- and intraobserver variability among operators of varying expertise in conducting CT-derived fractional flow reserve (CT FFR) measurements on-site by using structural and fluid analysis and to evaluate differences in reproducibility between two different training methods for end users. MATERIALS AND METHODS: This retrospective analysis of the prospectively enrolled cohort included 22 symptomatic patients who underwent both 320-detector row coronary CT angiography and catheter-derived fractional flow reserve (FFR) within 90 days. Thirteen operators of varying expertise were assigned to one of two training arms: arm 1, on-site training by a specialist in CT FFR technology; arm 2, self-training through use of written materials. After the training, all 13 operators reviewed the CT data and measured CT FFR in 24 vessels in 22 patients. Inter- and intraoperator variability and agreements between CT FFR and catheter-derived FFR measurements were evaluated. RESULTS: The overall intraclass correlation coefficient (ICC) among operators was 0.71 (95% confidence interval: 0.58, 0.83) with a mean absolute difference (± standard deviation) of 0.027 ± 0.022. The operators in arm 2 showed greater interoperator differences than those in arm 1 (0.031 ± 0.024 vs 0.023 ± 0.018; P = .024). Among operators who recalculated CT FFR, the mean CT FFR value did not significantly differ between the first and second calculations (ICC, 0.66; 95% confidence interval: 0.46, 0.87), with the medical specialists producing the lowest intraoperator variability (0.053 ± 0.060). The overall correlation coefficient between CT FFR and catheter FFR was r = 0.61, with a mean absolute difference of 0.096 ± 0.089. CONCLUSION: Good reproducibility of CT FFR values calculated on-site on the basis of structural and fluid analysis was observed among operators of varying expertise. Face-to-face training sessions may cause less variability.© RSNA, 2019Supplemental material is available for this article.

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A 71-year-old male with endocarditis mediated severe paravalvular leak and nonischemic cardiomyopathy underwent percutaneous repair attempts with a closure device followed by valve-in-valve transcatheter aortic replacement procedure. The case was complicated by cardiac arrest requiring hemodynamic support with Impella placement and secondary iatrogenic central aortic insufficiency requiring further intervention. (Level of Difficulty: Beginner.).

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BACKGROUND: Permanent pacemaker implantation is the most common complication after Transcatheter aortic valve replacement (TAVR) and is associated with worse outcomes and mortality. However, its impact on quality-of-life (QoL) outcomes remains unknown. METHODS: We included 383 consecutive patients undergoing TAVR from January 2012 to 2016 who completed a baseline Kansas City Cardiomyopathy Questionnaire (KCCQ-12) health survey. The clinical, laboratory, angiographic, QoL, mortality, and occurrence of poor outcomes (KCCQ-12 score < 45 or KCCQ decrease of ≥10 points) were obtained. RESULTS: The mean age was 83 ± 8 years, 51% were men, and majority were Caucasians (n = 364, 95%). Permanent pacemaker (PPM) was implanted in 11.5% of patients post-TAVR. PPM patients were more likely to have prior conduction disease including RBBB (25% vs 12%, P = .02) and PQ interval >250 ms (11% vs 5%, P = .07). One-month median KCCQ-12 scores were significantly lower among PPM patients (84.7 vs 68.8, P = .04), but did not differ significantly at 1-year (86.5 vs 90.6, P = .5) post-TAVR. Occurrence of poor outcomes did not differ significantly among those with or without PPM at 1 month (11% vs 7%, P = .39) and 1 year (13% vs 9%, P = .45), respectively. However, patients with poor QoL outcomes at 1 month post-TAVR also had significantly worse mortality during follow-up in unadjusted (31.3% vs 4.5%, P < .001) and adjusted (HR = 5.30, 95% [CI: 1.85-15.22, P = .002])analyses, respectively. CONCLUSION: Permanent pacemaker implantation is associated with short-term reduction in QoL without long-term implications post-TAVR. Patients with poor QoL post-TAVR also have significantly higher mortality.

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OBJECTIVE: Neutrophil-to-lymphocyte ratio (NLR) has prognostic value in acute coronary syndromes. We investigated its utility for predicting heart failure (HF) admissions and major adverse cardiac outcomes in patients undergoing transcatheter aortic valve replacement (TAVR). METHODS: Data on clinical, laboratory, procedural, HF admissions, and major adverse cardiac events (MACEs) (all-cause mortality, recurrence of myocardial infarction requiring intervention, stroke) for 298 consecutive patients who underwent TAVR between 2012 and 2016 in our tertiary center were collected. RESULTS: Analysis included 298 patients. The mean age was 83 ± 8 years, 51% were males, and 95% were Caucasians. The median Society of Thoracic Surgeons risk score was 9 (interquartile range: 6.3-11.8). Receiver-operating curve analysis identified a cutoff value of NLR of 4.0 for MACE after TAVR and sensitivity of 68% and specificity of 68% {area under the curve [AUC] = 0.65 [95% confidence interval (CI): 0.51-0.79], p = 0.03}. An NLR of 4.0 for HF hospitalizations after TAVR and sensitivity of 60% and specificity of 57% [AUC = 0.61 (95% CI: 0.53-0.69), p = 0.01]. NLR ≥4.0 before TAVR significantly predicted MACE after TAVR (68.4% vs. 31.6%, p = 0.02) and HF hospitalizations (58.3% vs. 41.7%, p = 0.03). NLR with TAVR risk score increased the predictive value for MACE after TAVR from AUC = 0.61 (95% CI: 0.50-0.72, p = 0.06) to AUC = 0.69 (95% CI: 0.57-0.80, p = 0.007). CONCLUSION: NLR predicts all-cause mortality, MACE, and HF hospitalization 1 year after TAVR. NLR with TAVR risk score improved predictability for MACE. Further studies for prognostication using NLR are warranted.

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INTRODUCTION: Microvolt T-wave alternans (MTWA) analysis can identify patients at low risk of sudden cardiac death who might not benefit from an implantable cardioverter-defibrillator (ICD). Current spectral methodology for performing MTWA analysis may "miss" part of the T-wave in patients with QT prolongation. The value of T-wave window adjustment in patients with structural heart disease has not been studied. METHODS: We assembled MTWA data from 5 prior prospective studies including 170 patients with reduced left ventricular ejection fraction, adjusted the T-wave window to include the entire T-wave, and reanalyzed MTWA. RESULTS: Of 170 patients, 43% required T-wave window adjustment. Only 3 of 170 patients (1.8%) had a clinically significant change in MTWA results. CONCLUSIONS: In 98.2% of patients, T-wave window adjustment did not improve the accuracy of MTWA analysis. Spectral MTWA as currently implemented remains effective for identifying patients with structural heart disease unlikely to benefit from ICD therapy.

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