Impact of perioperative enhanced recovery after surgery on wound infection in patients undergoing orthopaedic surgery: A meta-analysis.

The aim of this study was to evaluate the effects of perioperative application of enhanced recovery after surgery (ERAS) concepts on wound infections and post-operative complications in patients receiving orthopaedic surgery, to provide a theoretical basis for post-operative care. Randomised controlled trials (RCTs) on the application of ERAS to patients receiving orthopaedic surgery, published up to October 2023, were identified in PubMed, Web of Science, Cochrane Library, Embase, Wanfang, China Biomedical Literature Database and China National Knowledge Infrastructure databases. Literature was screened and evaluated by two reviewers based on the inclusion and exclusion criteria, and data were extracted from the final included articles. Data were analysed using RevMan 5.4 software. A total of 20 RCTs were included in the analysis, which included 1875 patients undergoing orthopaedic surgery, of whom 938 and 937 were in the ERAS and control groups, respectively. The analysis revealed that in patients undergoing orthopaedic surgery, implementation of ERAS in the perioperative period was associated with a significantly reduced the rate of wound infections (1.6% vs. 6.19%, risk ratio [RR]: 0.30, 95% confidence interval [CI]: 0.18-0.50, p < 0.001) and complication (5.12% vs. 21.88%, RR: 0.23, 95% CI: 0.17-0.32, p < 0.001) and can effectively shorten the hospital length of stay (standardised mean difference [SMD]: -2.50 days, 95% CI: -3.17 to -1.83 days, p < 0.001) compared with that of conventional care. The available evidence suggests that the implementation of ERAS in the perioperative period of patients undergoing orthopaedic surgery could effectively reduce the rate of wound infections and complications, shorten the hospital length of stay and promote the early recovery of patients.

MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection.

Salient Object Detection (SOD) simulates the human visual perception in locating the most attractive objects in the images. Existing methods based on convolutional neural networks have proven to be highly effective for SOD. However, in some cases, these methods cannot satisfy the need of both accurately detecting intact objects and maintaining their boundary details. In this paper, we present a Multiresolution Boundary Enhancement Network (MRBENet) that exploits edge features to optimize the location and boundary fineness of salient objects. We incorporate a deeper convolutional layer into the backbone network to extract high-level semantic features and indicate the location of salient objects. Edge features of different resolutions are extracted by a U-shaped network. We designed a Feature Fusion Module (FFM) to fuse edge features and salient features. Feature Aggregation Module (FAM) based on spatial attention performs multiscale convolutions to enhance salient features. The FFM and FAM allow the model to accurately locate salient objects and enhance boundary fineness. Extensive experiments on six benchmark datasets demonstrate that the proposed method is highly effective and improves the accuracy of salient object detection compared with state-of-the-art methods.

Design, synthesis and antimicrobial evaluation of novel benzimidazole-incorporated sulfonamide analogues.

A novel series of benzimidazole-incorporated sulfonamide analogues were designed and synthesized with an effort to overcome the increasing antibiotic resistance. Compound 5c gave potent activities against Gram-positive bacteria and fungi, and 2,4-dichlorobenzyl derivative 5g showed good activities against Gram-negative bacteria. Both of these two active molecules 5c and 5g could effectively intercalate into calf thymus DNA to form compound-DNA complex respectively, which might block DNA replication to exert their powerful antimicrobial activity. Molecular docking experiments suggested that compounds 5c and 5g could insert into base-pairs of DNA hexamer duplex by the formation of hydrogen bonds with guanine of DNA. The transportation behavior of these highly active compounds by human serum albumin (HSA) demonstrated that the electrostatic interactions played major roles in the strong association of active compounds with HSA, and which was also confirmed by the full geometry calculation optimizations.