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Objectives: An increasing number of studies have shown that third (CB3)- and fourth-generation cryoballoons (CB4) have been used to treat various types of atrial fibrillation (AF), but previous research regarding the safety and efficacy of CB3 or CB4 ablation remains controversial. Therefore, a meta-analysis was performed to further evaluate the safety and efficacy of pulmonary vein isolation (PVI) using the CB3 and CB4 in the treatment of AF.
Methods: We searched PubMed, the Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang, China Science and Technology Journal Database, and Clinicaltrials.gov up to December 2023 for qualified trials and data extraction according to inclusion and exclusion criteria. All analyses were carried out using Review Manager 5.3 software.
Results: The meta-analysis included 13 observational studies consisting of 3,281 subjects and did not include a randomized controlled trial. Overall analyses indicated that the CB3 significantly reduced total procedure time [weighted mean difference (WMD) = -8.69 min, 95% confidence interval (CI) = -15.45 to -1.94 min, I = 93%], increased the PVI recording [relative risk (RR) = 1.24, 95% CI = 1.03-1.49, I = 90%], and increased the mean nadir temperature of overall PVs (WMD = 2.80°C, 95% CI = 1.08-4.51°C, I = 89%) compared with the CB2. Moreover, the CB4 significantly reduced the total procedure time (WMD = -14.50 min, 95% CI = -20.89 to -8.11 min, I = 95%), reduced the fluoroscopy time (WMD = -2.37 min, 95% CI = -4.28 to -0.46 min, I = 95%), increased the PVI recording (RR = 1.40, 95% CI = 1.15-1.71, I = 90%) compared with the CB2. Time-to-isolation, the success rate of PVI, AF recurrence, and complications in the CB3 and CB4 were not significantly different compared with the CB2.
Conclusion: These findings demonstrated that the CB3 and CB4 tended to be more effective than the CB2 in the treatment of AF, with shorter procedure times, more PVI recording, and similar safety endpoints.
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http://dx.doi.org/10.3389/fcvm.2024.1364893 | DOI Listing |
ACS Appl Opt Mater
July 2025
Centre for Photonic Devices and Sensors, University of Cambridge, 9 JJ Thomson Avenue, Cambridge CB3 0FA, United Kingdom.
In this work, we present an electrically tunable hybrid geometric phase optical element (GPOE) at a telecommunication wavelength with the geometric phase jointly imparted by a liquid crystal (LC) layer and the embedded metasurface. A geometric phase (GP) grating was demonstrated both numerically and experimentally, achieving a voltage-switchable diffraction efficiency ranging from 8% to 56% at 1550 nm. Notably, LC patterning was induced exclusively by the spatially varying metasurface with a metaatom period of 800 nm, enabling the realization of LC-GPOEs with a subwavelength pixel size.
View Article and Find Full Text PDFOrg Process Res Dev
June 2025
Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom.
Photoredox catalysis plays an important role in the synthesis of pharmaceutically relevant compounds such as C-(sp)-rich tertiary amines. The difficulty of identifying underlying mechanistic models for such novel transformations, coupled with the large reaction space of this reaction class, means that developing a robust process is challenging. In this work, we demonstrate the machine learning-driven optimization of a photoredox tertiary amine synthesis with six continuous variables (e.
View Article and Find Full Text PDFSmall
August 2025
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215011, P. R. China.
Studying low-abundance cells at the single-cell level is critical for revealing unique biological functions. Efficient single-cell isolation technology can significantly enhance low-abundance single-cell detection sensitivity. However, the lack of individual control over each target cell hinders further bio-analysis.
View Article and Find Full Text PDFChem Res Toxicol
May 2025
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
Machine learning (ML) is increasingly valuable for predicting molecular properties and toxicity in drug discovery. However, toxicity-related end points have always been challenging to evaluate experimentally with respect to translation due to the required resources for human and animal studies; this has impacted data availability in the field. ML can augment or even potentially replace traditional experimental processes depending on the project phase and specific goals of the prediction.
View Article and Find Full Text PDFNat Commun
November 2024
Toshiba Europe Limited, 208 Science Park, Milton Road, Cambridge, CB4 0GZ, UK.
Quantum networks, relying on the distribution of quantum entanglement between remote locations, have the potential to transform quantum computation and secure long-distance quantum communication. However, a fundamental ingredient for fibre-based implementations of such networks, namely entanglement between a single spin and a photon directly emitted at telecom wavelengths, has been unattainable so far. Here, we use a negatively charged exciton in an InAs/InP quantum dot to implement an optically active spin qubit taking advantage of the lowest-loss transmission window, the telecom C-band.
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