Arch Med Sci
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This study aimed to investigate the outcome of hybrid endovenous laser ablation (EVLA, 1470 nm) and radiofrequency ablation (RFA) procedures for varicose veins (VVs). ⋯ The hybrid EVLA (1470 nm) procedure reduces VV recurrence below the knee and results in better quality-of-life scores.
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This study explored the application of bacterial artificial chromosomes (BACs)-on-Beads (BoBs) technique, especially its ability to detect microdeletion/microduplication regions with a single probe. ⋯ We believe that the microdeletion/microduplication results detected by BoBs technique with a single probe provide comprehensive guidance for prenatal diagnosis.
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This study aims to compare the safety and efficacy of bivalirudin bridging enoxaparin versus fondaparinux in patients with acute myocardial infarction (AMI) who were undergoing primary percutaneous coronary intervention (PPCI). ⋯ The anticoagulation strategy of bivalirudin bridging fondaparinux seems to be superior to that of bivalirudin bridging enoxaparin in patients with AMI undergoing PPCI.
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The impact of remote monitoring (RM) on clinical outcomes in heart failure (HF) patients with cardiac resynchronisation therapy-defibrillator (CRT-D) implantation is controversial. This study sought to evaluate the performance of an RM follow-up protocol using modified criteria of the PARTNERS HF trial in comparison with a conventional follow-up scheme. ⋯ Follow-up of CRT-D patients using automatic RM with daily transmissions based on modified PARTNERS HF criteria enabled more effective ambulatory interventions leading indirectly to improved CV survival. Moreover, RM directly decreased the number of HF hospitalizations and ambulatory follow-up burden compared to CRT-D patients with conventional follow-up.
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Colorectal cancer (CRC) is the third most common cancer. Precise prediction of CRC patients' overall survival (OS) probability could offer advice on its treatment. Neural network (NN) is the first-class algorithm, but a consensus on which NN survival models are better has not been established yet. A predictive model on CRC using Asian data is also lacking. ⋯ The deep learning survival model for CRC patients (DeepCRC) could predict CRC's OS accurately.