Clinical outcomes of arthroscopic all-inside anterior talofibular ligament suture augmentation repair versus modified suture augmentation repair for chronic ankle instability patients.

BACKGROUND: To compare the clinical efficacies of arthroscopic anterior talofibular ligament suture augmentation repair and modified suture augmentation repair in patients with chronic ankle instability (CAI). METHODS: From October 2019 to August 2020, 100 patients with CAI were enrolled after propensity score matching analysis and observed for two years. Among them, 50 underwent modified suture augmentation repair and the other 50 underwent suture augmentation repair. The clinical efficacies of CAI treatments were evaluated using the American Orthopedic Foot and Ankle Society (AOFAS) clinical rating scale, visual analog scale (VAS), and anterior drawer test scores. RESULTS: The postoperative AOFAS score of the modified suture augmentation repair group (83.8 ± 11.3) was significantly higher than that of the suture augmentation repair group (76.3 ± 11.3; P = 0.001). The VAS (P = 0.863) and anterior drawer test (P = 0.617) scores were not significantly different between the two treatment groups. CONCLUSION: Both the modified suture augmentation repair and suture augmentation repair demonstrated good clinical efficacies. The AOFAS score of the modified suture augmentation repair group was superior to that of the conventional suture augmentation repair group. Thus, modified suture augmentation repair is a feasible and practical surgical technique for CAI treatment.

Infection control management strategy for operating room during COVID-19 pandemic.

Coronavirus disease 2019 (COVID-19) outbreaks have occurred in many countries around the world. The numbers of confirmed cases and deaths continue to increase. It is increasingly likely that COVID-19 patients will require emergency surgeries in the operating room (OR). As COVID-19 can easily be transmitted to healthcare workers and other patients during surgery, it is important to establish a set of infection prevent and control management strategy to prevent COVID-19 from spreading in the OR. Based on our experience in COVID-19 prevention and control in the OR, we introduce this COVID-19 prevention and control management strategy for preventing COVID-19 from spreading in the OR. This management strategy includes a number of COVID-19 prevention and control procedures including (I) conduct COVID-19 knowledge training at the early stage of outbreak, (II) formulate the surgery arrangement procedures and suspend the elective surgery if the patient confirmed to COVID-19, (III) divide an isolated OR area for COVID-19 surgery, (IV) preoperative preparation procedures, (V) procedures for wearing and removing personal protective equipment, (VI) anesthesia management, intraoperative management, (VII) post-operative disposable waste management and disinfection. This management strategy has worked very effectively since the outbreak of COVID-19 in Wuhan at the end of 2019. We have performed emergency surgeries on several COVID-19 confirmed patient and dozens of COVID-19 suspected patients under this COVID-19 prevention and control management strategy, and have achieved an excellent result of zero COVID-19 infection in the OR.

An Intelligent Optical Coherence Tomography-based System for Pathological Retinal Cases Identification and Urgent Referrals.

Purpose: This study aimed to develop an automated system with artificial intelligence algorithms to comprehensively identify pathologic retinal cases and make urgent referrals. Methods: To build and test the intelligent system, this study obtained 28,664 optical coherence tomography (OCT) images from 2254 patients in the Eye and ENT Hospital of Fudan University (EENT Hospital) and Shanghai Tenth People's Hospital (TENTH Hospital). We applied a deep learning model with an adapted feature pyramid network to detect 15 categories of retinal pathologies from OCT images as common signs of various retinal diseases. Subsequently, the pathologies detected in the OCT images and thickness features extracted from retinal thickness measurements were combined for urgent referral using the random forest tool. Results: The retinal pathologies detection model had a sensitivity of 96.39% and specificity of 98.91% from the EENT Hospital test dataset, whereas those from the TENTH Hospital test dataset were 94.89% and 98.76%, respectively. The urgent referral model achieved accuracies of 98.12% and 98.01% from the EENT Hospital and TENTH Hospital test datasets, respectively. Conclusions: An intelligent system capable of automatically identifying pathologic retinal cases and offering urgent referrals was developed and demonstrated reliable performance with high sensitivity, specificity, and accuracy. Translational Relevance: This intelligent system has great value and practicability in communities where exist increasing cases of retinal disease and a lack of ophthalmologists.

Isoflurane-induced expression of miR-140-5p aggravates neurotoxicity in diabetic rats by targeting SNX12.

MicroRNAs (miRNAs) are widely known as critical regulators in isoflurane-induced neurotoxicity during the development of brain. Moreover, isoflurane could aggravate cognitive impairment in diabetic rats. The present study was designed to investigate the role and mechanism of miR-140-5p on isoflurane-induced neurotoxicity in diabetic rats. Firstly, a diabetic rat model was established by injection of streptozotocin (STZ) and identified by Morris water maze test. The result indicated that isoflurane treatment exacerbated STZ-induced cognitive impairment, as demonstrated by increase of the latency to the platform and decrease of the proportion of time spent in the target quadrant. Secondly, miR-140-5p was up-regulated in diabetic rats treated with isoflurane. Functional assays revealed that knockdown of miR-140-5p attenuated neurotoxicity in diabetic rats, which was shown by a decrease of the latency to the platform and an increase of the proportion of time spent in the target quadrant. Mechanistically, we demonstrated that miR-140-5p directly bonded to SNX12 (sorting nexin 12). At last, the neuroprotective effect of miR-140-5p knockdown against isoflurane-aggravated neurotoxicity in diabetic rats was dependent on up-regulation of SNX12 and inhibition of cell apoptosis. In summary, these meaningful results demonstrated the mitigation of miR-140-5p knockdown against isoflurane-aggravated neurotoxicity in diabetic rats via SNX12, suggesting a novel target for neuroprotection in diabetes under isoflurane treatment.

Withdrawn: Isoflurane-induced miR-140-5p Aggravates Neurotoxicity in Diabetic Rats by Targeting SNX12

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