The dilemma of the patient with both AS and LVOTO is now commonly encountered in clinical practice; indeed, physicians must be aware of the complex interaction and coexistent nature of both diseases, especially as both HOCM and TAVR have increased in awareness and prevalence. Importantly, the clinician must be aware of the complex interplay hemodynamically, with the two diseases confusing the TTE imaging and potentially affecting each other anatomically and clinically. There is no set guideline on how to approach this from a surgical or percutaneous approach, but we have outlined a set of recommendations which should serve the clinician and patient well. The three cases that are presented illustrate that methodical diagnosis in addition to the order of treatment do indeed matter. In the first case, there was AS and an underestimated LVOT gradient that was also present. Once the AS was corrected, the true LVOT gradient potential was evidenced and she decompensated, likely because there was a rapid decrease in afterload. Patients with concomitant LVOTO are not able to adjust quickly to the hemodynamic changes created by the rapid decline in afterload, as, for example, in HOCM patients who receive nitroglycerin. The second case demonstrated that when the LVOTO was severe and the AS nonsignificant (mild or moderate), the patient was able to live without symptoms for several years after successful alcohol septal ablation (ASA). She eventually needed an aortic valve and mitral valve replacement but that was postponed for several years until the AS became more significant, and the surgical risk was lowered by the elimination of the need for concomitant myectomy. In the last case, the patient was able to have both an ASA and TAVR within 3 months of each other without hemodynamic compromise. Indeed, this latter therapy sequence may be the best way to treat patients with both diseases in the future, as both ASA and TAVR continue to evolve into intermediate and lower-risk patient populations and the safety of ASA continues to be evident.
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http://dx.doi.org/10.1007/s11936-016-0440-3 | DOI Listing |
BMC Health Serv Res
December 2024
Centre for Safety in Healthcare, at the Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, Delft, 2628 BX, the Netherlands.
Background: Speaking up among healthcare professionals plays an essential role in improving patient safety and quality of care, yet it remains complex and multifaceted behaviour. Despite awareness of potential risks and adverse outcomes for patients, professionals often hesitate to voice concerns due to various influencing factors. This complexity has encouraged research into the determinants of speaking-up behaviour in hospital settings.
View Article and Find Full Text PDFNeural Netw
December 2024
School of Computer Science, Wuhan University, Luojiashan Road, Wuchang District., Wuhan, 430072, Hubei Province, China; Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, No. 8, Yangqiaohu Avenue, Zanglong Island Development Zone, Jiangxia District, Wuhan, 2007, Hubei Province, China. Electronic address:
The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Engineering, Sharif University of Technology, Azadi Avenue, Tehran, Iran.
Numerous algorithms have been proposed to infer the underlying structure of the social networks via observed information propagation. The previously proposed algorithms concentrate on inferring accurate links and neglect preserving the essential topological properties of the underlying social networks. In this paper, we propose a novel method called DANI to infer the underlying network while preserving its structural properties.
View Article and Find Full Text PDFJ Plast Reconstr Aesthet Surg
November 2024
Division of Plastic and Reconstructive Surgery, Department of Surgery, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA. Electronic address:
Introduction: There is growing interest in understanding chest sensory function due to the significant morbidity associated with impaired sensation following nerve injury. While the baseline quantitative sensory and pain thresholds in female and male patients have been studied in various other anatomic areas, there is little knowledge on quantitative sensation at the chest as well as the presence of possible gender differences. Therefore, this study aimed to conduct a comprehensive quantitative sensory analysis to determine if female and male chests feel the same.
View Article and Find Full Text PDFNeural Netw
December 2024
School of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China. Electronic address:
Tag-aware recommender systems leverage the vast amount of available tag records to depict user profiles and item attributes precisely. Recently, many researchers have made efforts to improve the performance of tag-aware recommender systems by using deep neural networks. However, these approaches still have two key limitations that influence their ability to achieve more satisfactory results.
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