Transseptal puncture (TSP) may not be possible in cases of an elastic, aneurysmal, or thickened interatrial septum (IAS). During deep inspiration (DI), the chest wall expands and the diaphragm descends. This makes intrapleural pressure to become more negative, which leads to movement of the IAS to the right side. The aim of this study was to verify prospectively the feasibility, safety, and outcome of DI associated with conventional TSP technique in patients with challenging IAS anatomy. From September 2012 to May 2016, 224 patients underwent TSP due to different indications. Patients were divided into 2 groups: 213 patients in whom the left atrium was successfully accessed in 3 attempts were grouped as conventional TSP group and 11 patients in whom left atrium access was failed after 3 conventional attempts were grouped as DI-TSP group. Conventional TSP was successful in 89.6% of patients with the first attempt. Second and third attempts were required in 4.1% and 1.4%, respectively. Septal puncture was achieved at the first attempt in 10 patients within a median of 1 second of DI maneuver (interquartile range, 1 to 3) and without any complications. Challenging IAS anatomy consisting of IAS aneurysm, a thick IAS, and an excessively mobile IAS were more frequent in the DI-TSP group (45% to 8%, 27% to 3%, and 21% to 5%, respectively, p <0.001). In conclusion, TSP by using the DI maneuver may be a reliable and safe method after failed conventional attempts. If there is any doubt about the correct location of the needle, additional imaging modalities have to be used.
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http://dx.doi.org/10.1016/j.amjcard.2016.10.023 | DOI Listing |
Sci Total Environ
December 2024
State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China.
Iron and steel production (ISP) is one of significant atmospheric pollution emission sources in China. With the implementation of ultra-low emission (ULE) standards, a detailed and new updated emission inventory is urgently needed for better understanding of the temporal trends and spatial variation of emission characteristics. In this study, a unit-based comprehensive emission inventory of multiple hazardous air pollutants (HAPs) for the Chinese ISP spanned from 2012 to 2021, including the conventional pollutants, 13 kinds of Trace elements as well as 2 unconventional but toxic pollutants (PCDD/Fs, F), was dedicatedly developed by integrating dynamic localized emission factors with unit-based information of both the detailed activity level and abatement technology application.
View Article and Find Full Text PDFMicrob Pathog
December 2024
Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan. Electronic address:
Salmonella, a gram-negative bacteria, is the leading cause of foodborne illness globally. Two serovars of Salmonella, S. enteritidis and S.
View Article and Find Full Text PDFPacing Clin Electrophysiol
December 2024
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing, China.
Background: Intracardiac echocardiography (ICE) has been widely used in the catheter ablation of atrial fibrillation (AF). However, the value of ICE in the training of transseptal puncture (TSP) is unclear.
Methods: ICE-Training Study was a single-center, parallel-group, unmasked, randomized controlled trial registered in ChineseClinicalTrials.
Waste Manag Res
October 2024
Department of Soil Science, Faculty of Agricultural Science, University of Guilan, Rasht, Iran.
Neural Netw
November 2024
College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China. Electronic address:
This paper proposes a novel fractional-order memristive Hopfield neural network (HNN) to address traveling salesman problem (TSP). Fractional-order memristive HNN can efficiently converge to a globally optimal solution, while conventional HNN tends to become stuck at a local minimum in solving TSP. Incorporating fractional-order calculus and memristors gives the system long-term memory properties and complex chaotic characteristics, resulting in faster convergence speeds and shorter average distances in solving TSP.
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