Novel percutaneous intervention technique for obstructed coronary artery after valve-in-valve transcatheter aortic valve replacement.

Valve-in-valve transcatheter aortic valve replacement (valve-in-valve TAVR) increases the risk of coronary obstruction. Although the coronary protection strategy is widely used, the use of the bailout technique after coronary obstruction is limited. Hence, we report a simple bailout technique for coronary obstruction after valve-in-valve TAVR. An 82-year-old woman presented with structural valve deterioration. The left anterior descending coronary artery had 90% stenosis. After TAVR, the prosthetic valve shifted close to the ascending aorta wall, consequently impairing coronary flow. The wire crossed with the Judkins right guiding catheter (JR) reference to the en-face and perpendicular views. Using the guide-extension catheter, the JR contacted the contralateral ascending aorta as a backup catheter. After a balloon was dilated between the prosthetic valve and aorta, JR engaged into the coronary artery with excellent backup. This novel "Whisker pole guiding technique" is useful, even after valve-in-valve TAVR.

Calcified plaque harboring lipidic materials associates with no-reflow phenomenon after PCI in stable CAD.

Calcified atheroma has been viewed conventionally as stable lesion which less likely increases no-reflow phenomenon. Given that lipidic materials triggers the formation of calcification, lipidic materials could exist within calcified lesion, which may cause no-reflow phenomenon after PCI. The REASSURE-NIRS registry (NCT04864171) employed near-infrared spectroscopy and intravascular ultrasound imaging to evaluate maximum 4-mm lipid-core burden index (maxLCBI4mm) at target lesions containing small (maximum calcification arc < 180°: n = 272) and large calcification (maximum calcification arc ≥ 180°: n = 189) in stable CAD patients. The associations of maxLCBI4mm with corrected TIMI frame count (CTFC) and no-reflow phenomenon after PCI were analyzed in patients with target lesions containing small and large calcification, respectively. No-reflow phenomenon occurred in 8.0% of study population. Receiver-operating characteristics curve analyses revealed that optimal cut-off values of maxLCBI4mm for predicting no-reflow phenomenon were 585 at small calcification (AUC = 0.72, p < 0.001) and 679 at large calcification (AUC = 0.76, p = 0.001). Target lesions containing small calcification with maxLCBI4mm ≥ 585 more likely exhibited a greater CTFC (p < 0.001). In those with large calcification, 55.6% of them had maxLCBI4mm ≥ 400 [vs. 56.2% (small calcification), p = 0.82]. Furthermore, a higher CTFC (p < 0.001) was observed in association with maxLCBI4mm ≥ 679 at large calcification. On multivariable analysis, maxLCBI4mm at large calcification still independently predicted no-reflow phenomenon (OR = 1.60, 95%CI = 1.32-1.94, p < 0.001). MaxLCBI4mm at target lesions exhibiting large calcification elevated a risk of no-reflow phenomenon after PCI. Calcified plaque containing lipidic materials is not necessarily stable lesion, but could be active and high-risk one causing no-reflow phenomenon.

Drug-coated balloon strategy following orbital atherectomy for calcified coronary artery compared with drug-eluting stent: One-year outcomes and optical coherence tomography assessment.

BACKGROUND: Percutaneous coronary intervention (PCI) for calcified coronary artery remains challenging in the drug-eluting stent (DES) era. While recent studies reported the efficacy of orbital atherectomy (OA) combined with DES for calcified lesion, the effectiveness of drug-coated balloon (DCB) following OA has not been fully elucidated. METHODS: Between June 2018 and June 2021, 135 patients who received PCI for calcified de novo coronary lesions with OA were enrolled and divided into two groups; OA followed by DCB (n = 43) if the target lesion achieved acceptable preparation, or second- or third-generation DESs (n = 92) if the target lesion showed suboptimal preparation between June 2018 and June 2021. All patients underwent PCI with optical coherence tomography (OCT) imaging. The primary endpoint was 1-year major adverse cardiac event (MACE), that was a composite of cardiac death, nonfatal myocardial infarction, or target lesion revascularization. RESULTS: Mean age was 73 years and 82% was male. In OCT analysis, maximum calcium plaque was thicker (median: 1050 µm [interquartile range (IQR): 945-1175 µm] vs. 960 µm [808-1100 µm], p = 0.017), calcification arc tended to larger (median: 265° [IQR: 209-360°] vs. 222° [162-305°], p = 0.058) in patients with DCB than in DES, and the postprocedure minimum lumen area was smaller in DCB compared with minimum stent area in DES (median: 3.83 mm2 [IQR: 3.30-4.52 mm2 ] vs. 4.86 mm2 [4.05-5.82 mm2 ], p < 0.001). However, 1 year MACE free rate was not significantly different between 2 groups (90.3% in DCB vs. 96.6% in DES, log-rank p = 0.136). In the subgroup analysis of 14 patients who underwent follow-up OCT imaging, late lumen area loss was lower in patients with DCB than DES, despite lower lesion expansion rate in DCB than DES. CONCLUSIONS: In calcified coronary artery disease, DCB alone strategy (if acceptable lesion preparation was performed with OA) was feasible compared with DES following OA with respect to 1-year clinical outcomes. Our finding indicated using DCB with OA might be reduce late lumen area loss for severe calcified lesion.

A jerk-based algorithm ACCEL for the accurate classification of sleep-wake states from arm acceleration.

Arm acceleration data have been used to measure sleep-wake rhythmicity. Although several methods have been developed for the accurate classification of sleep-wake episodes, a method with both high sensitivity and specificity has not been fully established. In this study, we developed an algorithm, named ACceleration-based Classification and Estimation of Long-term sleep-wake cycles (ACCEL) that classifies sleep and wake episodes using only raw accelerometer data, without relying on device-specific functions. The algorithm uses a derivative of triaxial acceleration (jerk), which can reduce individual differences in the variability of acceleration data. Applying a machine learning algorithm to the jerk data achieved sleep-wake classification with a high sensitivity (>90%) and specificity (>80%). A jerk-based analysis also succeeded in recording periodic activities consistent with pulse waves. Therefore, the ACCEL algorithm will be a useful method for large-scale sleep measurement using simple accelerometers in real-world settings.

Effectiveness and Safety of Direct Oral Anticoagulants vs. Warfarin and Recurrence After Discontinuation in Patients With Acute Venous Thromboembolism in the Real World.

BACKGROUND: The efficacy of direct oral anticoagulants (DOACs) compared with warfarin for the treatment of venous thromboembolism (VTE), and the recurrence of VTE after discontinuation of anticoagulation therapy in research are limited.Methods and Results: This retrospective study enrolled 893 patients with acute VTE between 2011 and 2019. The cohort was divided into the transient risk, unprovoked, continued cancer treatment, and cancer remission groups. The following were compared between DOACs and warfarin: composite outcome of all-cause death, VTE recurrence, bleeding and composite outcome of VTE-related death, recurrence and bleeding. In the continued cancer treatment group, more bleeding was seen in warfarin-treated patients than in patients treated with DOACs (53.2% vs. 31.2%, [P=0.048]). In addition, composite outcome of VTE-related death and recurrence after discontinuation of anticoagulation therapy (n=369) was evaluated. The continued cancer treatment group (multivariate analysis: HR: 3.62, 95% CI: 1.84-7.12, P<0.005) and bleeding-related discontinuation of therapy (HR: 2.60, 95% CI: 1.32-5.13, P=0.006) were independent predictors of the event after discontinuation of anticoagulation therapy. VTE recurrence after discontinuation of anticoagulation therapy in the cancer remission group was 1.6% and a statistically similar occurrence was found in the transient risk group (12.4%) (P=0.754). CONCLUSIONS: DOACs may decrease bleeding incidence in patients continuing to receive cancer treatment. In patients with bleeding-related discontinuation of anticoagulation therapy, VTE recurrence may increase. Discontinuation of anticoagulant therapy might be a treatment option in patients who have completed their cancer treatment.

Anticoagulant Therapy for Cancer-Associated Venous Thromboembolism after Cancer Remission.

Objectives: To examine the outcomes of anticoagulant therapy for patients with venous thromboembolism (VTE) with active cancer and the outcomes after cancer remission with and without anticoagulant therapy. Materials and Methods: Of the 338 patients with cancer-associated VTE who received anticoagulant therapy, we evaluated therapeutic outcomes over 1 year for 112 patients whose cancers were in remission (cancer remission group) and 226 patients who continued cancer treatment (continued cancer treatment group). Further, the cancer remission group was divided into 89 and 23 patients who completed (completion of anticoagulation group) and continued (continued anticoagulation group) anticoagulant therapy, respectively. Treatment outcomes after completing anticoagulant therapy were compared between these two groups. The follow-up period was 1 year, and the endpoints were all-cause death, VTE recurrence, and bleeding events. Results: The event-free survival rates were 99.1% and 42.9% in the cancer remission and continued cancer treatment groups, respectively. For treatment outcomes after the completion of anticoagulant therapy, the event-free survival rates were 98.9% and 87% in the completion of anticoagulation and continued anticoagulation groups, respectively (log rank, P=0.005). Conclusion: When cancer is in remission, recurrence is low even if anticoagulant therapy is terminated after a certain period.

Multiple mycotic aneurysms with infective endocarditis: A case report.

Mycotic aneurysms are sometimes seen in patients with infective endocarditis. We report a case of infective endocarditis with multiple mycotic aneurysms. Although antibiotics were effective, mycotic aneurysms appeared in the cerebral, hepatic, and gastroepiploic arteries. A 55-year-old man presented with mitral valve endocarditis due to Streptococcus oralis. Surgical treatment was deferred because of cerebral hemorrhage. After antibiotic initiation, his fever and C-reactive protein levels declined, and blood culture was negative. However, he experienced repeated cerebral hemorrhage and the number of cerebral mycotic aneurysms increased. Additionally, his spleen ruptured and the number of mycotic aneurysms in the hepatic and gastroepiploic arteries increased. After embolization for mycotic aneurysm and mitral valve replacement, no mycotic aneurysms appeared. Regardless of whether laboratory data improve or not, multiple mycotic aneurysms sometimes appear, and cardiac surgery for infection control should be considered in the early phase.

Geriatric nutritional risk index as a predictor of arrhythmia recurrence after catheter ablation of atrial fibrillation.

BACKGROUND AND AIMS: The nutritional risk of patients who undergo atrial fibrillation (AF) ablation varies. Its impact on the recurrence after ablation is unclear. We sought to evaluate the relationship between the nutritional risk and arrhythmia recurrence in patients who undergo AF ablation. METHODS AND RESULTS: We enrolled 538 patients (median 67 years, 69.9% male) who underwent their first AF ablation. Their nutritional risk was evaluated using the pre-procedural geriatric nutritional risk index (GNRI), and the patients were classified into two groups: No-nutritional risk (GNRI â‰§ 98) and Nutritional risk (GNRI < 98). The primary endpoint was a recurrence of an arrhythmia, and its relationship to the nutritional risk was evaluated. We used propensity-score matching to adjust for differences between patients with a GNRI-based nutritional risk and those without a nutritional risk. A nutritional risk was found in 10.6% of the patients, whereas the remaining 89.4% had no-nutritional risk. During a mean follow-up of 422 days, 91 patients experienced arrhythmia recurrences. The patients with a nutritional risk had a significantly higher arrhythmia recurrence rate both in the entire study cohort (Log-rank p = 0.001) and propensity-matched cohort (Log-rank p = 0.006). In a Cox proportional hazard analysis, the nutritional risk independently predicted arrhythmia recurrences in the entire study cohort (hazard ratio [HR]: 3.91, 95% confidence interval [CI]: 1.84-8.35, p < 0.001) and propensity-matched cohort (HR: 6.49, 95% CI: 1.42-29.8, p = 0.016). CONCLUSION: A pre-procedural malnutrition risk was significantly associated with increased arrhythmia recurrences in patients who underwent AF ablation.

Prediction of premature ventricular complex origins using artificial intelligence-enabled algorithms.

Background: Catheter ablation is a standard therapy for frequent premature ventricular complex (PVCs). Predicting their origin from a 12-lead electrocardiogram (ECG) is crucial but it requires specialized knowledge and experience. Objective: The objective of the present study was to develop and evaluate machine learning algorithms that predicted PVC origins from an ECG. Methods: We developed the algorithms utilizing a support vector machine (SVM) and a convolutional neural network (CNN). The training, validating, and testing data consisted of 116 PVCs from 111 patients who underwent catheter ablation. The ECG signals were labeled with the PVC origin, which was confirmed using a 3-dimensional electroanatomical mapping system. We classified the origins into 4 groups: right or left, outflow tract, or other sites. We trained and evaluated the model performance. The testing datasets were also evaluated by board-certified electrophysiologists and an existing classification algorithm. We also developed binary classification models that predicted whether the origin was on the right or left side of the heart. Results: The weighted accuracies of the 4-class classification were as follows: SVM 0.85, CNN 0.80, electrophysiologists 0.73, and existing algorithm 0.86. The precision, recall, and F1 in the machine learning models marked better than physicians and comparable to the existing algorithm. The SVM model scored among the best accuracy in the binary classification (the accuracies were 0.94, 0.87, 0.79, and 0.90, respectively). Conclusion: Artificial intelligence-enabled algorithms that predict the origin of PVCs achieved superior accuracy compared to the electrophysiologists and comparable accuracy to the existing algorithm.

Novel pathologic manifestation of idiopathic massive myocardial calcification.

Idiopathic myocardial calcification is a rare disease. Herein, we report a case of massive idiopathic calcification; a 78-year-old woman presented with acute heart failure with preserved ejection fraction (HFpEF). Computed tomography and magnetic resonance imaging showed diffused calcified nodules in the myocardium. The patient was treated for HFpEF; however, the calcified nodules and diastolic dysfunction gradually progressed. She was hospitalized for heart failure with preserved ejection fraction 6 times before her death at the age of 84 years. The pathological report showed calcified nodules with surrounding collagen fibers in the myocardium and tiny calcifications within the myocytes. Thus, idiopathic myocardial calcification can result in HFpEF, while calcification and diastolic dysfunction can gradually worsen.

Long-Term Performance of Right Ventricular Implantable Cardioverter-Defibrillator Leads in Arrhythmogenic Right Ventricular Cardiomyopathy and Hypertrophic Cardiomyopathy.

Patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and hypertrophic cardiomyopathy (HCM) implanted with implantable cardioverter-defibrillators (ICDs) may show a large decrease in R-wave amplitude during long-term follow-up. However, it is unclear whether this decrease is higher in these patients than in those without structural heart disease. This study investigated ICD-lead intracardiac parameters over a long duration in patients with ARVC and HCM and compared these parameters with those of a control group. We included 50 patients (mean age, 55.2 ± 17.2 years; 26% female) with ICD leads in the right ventricular apex, and compared 7 ARVC and 14 HCM patients with 29 control patients without structural heart disease. ICD-lead parameters, including R-wave amplitude, pacing threshold, and impedance during follow-up, were compared. The difference in these parameters between the time of implantation and year 5 were also compared. There were no significant differences in R-wave amplitude at implantation among the 3 groups. The change in R-wave amplitude between the time of implantation and year 5 was significantly greater in the ARVC group (-3.3 ± 5.4 mV, P = 0.012) in comparison to the control group (1.3 ± 2.8 mV); the HCM group showed no significant difference (-0.4 ± 2.3 mV, P = 0.06). Thus, in the ARVC group, R-wave amplitude at year 5 was significantly lower than that in the control group (5.7 ± 4.8 mV versus 12.5 ± 4.5 mV, P = 0.001). In ARVC patients with ICDs, ventricular sensing is likely to deteriorate during long-term follow-up; however, in HCM patients, sensing may not deteriorate.

Impact of the preprocedural nutrition status on the clinical outcomes of patients after pacemaker implantation for bradycardia.

BACKGROUND: Malnutrition is associated with a poor prognosis in heart failure, angina pectoris, and peripheral artery disease. However, the clinical importance of the preprocedural nutrition status of patients requiring pacemaker implantation (PMI) for bradycardia is unclear. METHODS: We retrospectively enrolled 521 patients (median 79 years) who underwent their first PMI between January 1, 2012 and June 30, 2017. The nutrition status before implantation was assessed by the geriatric nutritional risk index (GNRI). The association between the preprocedural GNRI-based nutritional status and all-cause mortality was investigated. RESULTS: GNRI-based high (GNRI <82) and moderate (GNRI 82 to <92) malnutrition status were found in 9.2% and 34.0%, respectively. During a median follow-up of 1178 days, 71 patients died. The mortality rate, which was analyzed using survival curves, was significantly stratified by the GNRI-based malnutrition status [high: 52.0% (25/48), moderate: 16.9% (30/177), low: 5.4% (16/296), p<0.001). On a multivariate Cox-proportional hazard analysis, GNRI-based high malnutrition status independently predicted all-cause death (hazard ratio: 4.49, 95% confidence interval: 2.59-7.80, p<0.001). A sensitivity analysis based on the controlling nutritional status score showed consistent results. On a receiver operating characteristic curve analysis, GNRI had a high predictive value for all-cause mortality (area under the curve, 0.78, 95% confidence interval: 0.72-0.84, p<0.001). CONCLUSIONS: Preprocedural malnutrition was significantly associated with poor outcomes of patients who underwent PMI. Assessing the nutritional status in advance is important for risk stratification, and improving the nutritional status may be an option for managing these patients.