Protocol for a randomised controlled trial: optimisation of perioperative analgesia protocol for uniportal video-assisted thoracoscopic surgery.

INTRODUCTION: Postoperative pain after thoracic surgery impairs patients' quality of life and increases the incidence of respiratory complications. Optimised analgesia strategies include minimally invasive incisions, regional analgesia and early chest tube removal. However, little is known about the optimal analgesic regimen for uniportal video-assisted thoracoscopic surgery (uVATS). METHODS AND ANALYSIS: We will conduct a single-centre, prospective, single-blind, randomised trial. The effects of postoperative analgesia will be tested using thoracic paravertebral block (PVB) in combination with patient-controlled intravenous analgesia (PVB+PCIA), erector spinae plane block (ESPB) in combination with patient-controlled intravenous analgesia (ESPB+PCIA) or PCIA alone; 102 patients undergoing uVATS will be enrolled in this study. Patients will be randomly assigned to the PVB group (30 mL of 0.33% ropivacaine with dexamethasone), ESPB group (40 mL of 0.25% ropivacaine with dexamethasone) or control groups. PCIA with sufentanil will be administered to all patients after surgery. The primary outcome will be total opioid consumption after surgery. Secondary outcomes include postoperative pain score; postoperative chronic pain at rest and during coughing; sensations of touch and pain in the chest wall, non-opioid analgesic consumption; length of stay; ambulation time, the total cost of hospitalisation and long-term postoperative analgesia. Adverse reactions to analgesics and adverse events related to the regional blocks will also be recorded. The statisticians will be blinded to the group allocation. Comparison of the continuous data among the three groups will be performed using a one-way analysis of variance to assess differences among the means. ETHICS AND DISSEMINATION: The results will be published in patient education courses, academic conferences and peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT06016777.

Auto-setting multi-soliton temporal spacing in a fiber laser by a hybrid GA-PSO algorithm.

Multi-soliton operation in fiber lasers is a promising platform for the investigation of soliton interaction dynamics and high repetition-rate pulse. However, owing to the complex interaction process, precisely manipulating the temporal spacing of multiple solitons in a fiber laser is still challenging. Herein, we propose an automatic way to control the temporal spacing of multi-soliton operation in an ultrafast fiber laser by a hybrid genetic algorithm-particle swarm optimization (GA-PSO) algorithm. Relying on the intelligent adjustment of the electronic polarization controller (EPC), the on-demand temporal spacing of the double solitons can be effectively achieved. In particular, the harmonic mode locking with equal temporal spacing of double solitons is also obtained. Our approach provides a promising way to explore nonlinear soliton dynamics in optical systems and optimize the performance of ultrafast fiber lasers.

Assisting the mode-locking of a figure-9 fiber laser by thermal nonlinearity of graphene-decorated microfiber.

The self-starting performance of a figure-9 fiber laser is critically dependent on the phase shift difference between the counter-propagating beams. Herein, we propose an effective approach to dynamically control the phase shift difference in a figure-9 fiber laser by utilizing the thermal nonlinearity of graphene-decorated microfiber device. With the adjustment of the control laser power injected into the graphene-decorated microfiber, the self-starting mode-locked threshold of the figure-9 fiber laser can be attained in a flexible pump power range, i.e., from 300 mW to 390 mW. These findings demonstrated that the graphene-decorated microfiber could act as a dynamical control device of phase shift difference for improving the performance of figure-9 fiber lasers, and might also open up new possibilities for applications of microfiber photonic devices in the field of ultrafast optics.

The Effect of GABAergic Cells Transplantation on Allodynia and Hyperalgesia in Neuropathic Animals: A Systematic Review With Meta-Analysis.

The role of GABAergic cell transplantation in improving neuropathic pain is controversial. We comprehensively searched the relevant literature to identify animal studies of GABAergic cell transplantation that recorded pain behaviors as an outcome according to the Cochrane Handbook 5.0.2. Controlled studies assessing the administration of GABAergic neurons or GABAergic neuronal progenitor cells to rat or mouse neuropathic pain animal models were included. Basic design information and mechanical allodynia thresholds and heat hyperalgesia thresholds data were collected. The risk of bias for the animal experiments was assessed according to the SYRCLE's tool. This study included 10 full-text articles. GABAergic cells transplantation leads to a statistically significant improvement of allodynia (SMD = 5.26; 95% confidence interval: 3.02-7.51; P < 0.001) and hyperalgesia (SMD: 4.10; 95% confidence interval: 1.84-6.35; P < 0.001). Differentiated GABAergic cells and without antibiotics using may have a better effect for improving neuropathic pain. GABAergic cell transplantation is a promising treatment for improving neuropathic pain. This systematic review and meta-analysis evaluated the effects of GABAergic cell transplantation on neuropathic pain, which can guide future clinical trials and possible clinical treatments, and better attenuate neuropathic pain caused by abnormal circuit hyperexcitability.

Traumatic spinal cord injury caused by low falls and high falls: a comparative study.

BACKGROUND: Quite a few traumatic spinal cord injuries (TSCI) were caused by falls. However, the comparison of different causes of TSCI or the epidemiological characteristics of TSCI caused by falls of different heights are rare. This study investigated the epidemiological characteristics of TSCI caused by falls and conducted a comparison between low falls and high falls. METHOD: Data from cases with TSCI admitted to China Rehabilitation Research Center from 2010 to 2019 were collected, including age, gender, occupation, cause, neurological level, and severity of the injury in admission, combined injuries, complications, and rehabilitation length of stay. Mann-Whitney U and chi-square (χ2) tests were used to assess the differences between two groups at a statistical significance level of 0.05. RESULT: A total of 1858 TSCI cases were included and 41.7% were caused by falls, 11.4% by low falls and 30.3% by high falls, respectively. Patients with fall-induced TSCI were older and had a shorter rehabilitation length of stay than those with non-fall-induced TSCI. Patients with high fall-induced TSCI were younger and more likely to suffer from paraplegia, severer injuries, and combined injuries, and had longer time from injury to rehabilitation and rehabilitation length of stay, compared with patients with low fall-induced TSCI. CONCLUSION: Falls is the leading causes of TSCI and high fall is becoming more common. Attention not only should be paid to high falls for the severe injury and longer hospitalization, but also low falls due to the higher neurological level of the injury and the aging of population in China.

Benefits and Mechanisms of Exercise Training for Knee Osteoarthritis.

Knee osteoarthritis is a chronic degenerative disease. Cartilage and subchondral bone degeneration, as well as synovitis, are the main pathological changes associated with knee osteoarthritis. Mechanical overload, inflammation, metabolic factors, hormonal changes, and aging play a vital role in aggravating the progression of knee osteoarthritis. The main treatments for knee osteoarthritis include pharmacotherapy, physiotherapy, and surgery. However, pharmacotherapy has many side effects, and surgery is only suitable for patients with end-stage knee osteoarthritis. Exercise training, as a complementary and adjunctive physiotherapy, can prevent cartilage degeneration, inhibit inflammation, and prevent loss of the subchondral bone and metaphyseal bone trabeculae. Increasing evidence indicates that exercise training can improve pain, stiffness, joint dysfunction, and muscle weakness in patients with knee osteoarthritis. There are several exercise trainings options for the treatment of knee osteoarthritis, including aerobic exercise, strength training, neuromuscular exercise, balance training, proprioception training, aquatic exercise, and traditional exercise. For Knee osteoarthritis (KOA) experimental animals, those exercise trainings can reduce inflammation, delay cartilage and bone degeneration, change tendon, and muscle structure. In this review, we summarize the main symptoms of knee osteoarthritis, the mechanisms of exercise training, and the therapeutic effects of different exercise training methods on patients with knee osteoarthritis. We hope this review will allow patients in different situations to receive appropriate exercise therapy for knee osteoarthritis, and provide a reference for further research and clinical application of exercise training for knee osteoarthritis.

[The cryosurgery of central lung cancer by rigid bronchoscopy].

OBJECTIVE: To evaluate the method and effectiveness of rigid-bronchoscopic cryosurgery for advanced central lung cancer. METHODS: Forty-eight patients were enrolled in this study from June 2002 to December 2008, including 33 male and 15 female. The average age was 70 years (ranged from 45 to 83 years old). For the 48 patients, 38 cases were patients with advanced central lung cancer who were not suitable for surgery, and the remaining 10 cases were patients with local recurrence in trachea or main bronchus postoperatively. Cryosurgery was performed 120 times for all patients, 2.5 times per patient on average. The trachea or bronchus station, symptom such as dyspnea, hemoptysis, respiratory function and quality of life were observed. RESULTS: The unblocked ratio of trachea and bronchi was 97%. All patients got satisfied improvement ratio of symptoms, 87.5% for dyspnea, 72.9% for cough, 93.8% for hemoptysis and 62.5% for chest pain. Respiratory function tests showed that both the mean forced expiratory volume in first second and forced vital capacity got an improvement from (1.03+/-0.05) L to (1.85+/-0.13) L and from (1.69+/-0.18) L to (2.96+/-0.14) L respectively (P<0.01). Karnofsky score also got no less than 20 scores improvement. The Follow-up time was 6 to 62 months. The longest survival was 62 months. The median survival time was 20 months. There was no severe perioperative complications and mortality except for 3 cases of moderate exeduation. CONCLUSIONS: Cryosurgery is easy to perform with minimal complications. Not only could it provide an effective and rapid control of symptoms caused by central lung cancer, it could also unobstructed bronchus promptly and improve patients' quality of life.

A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine.

Apoptosis proteins have a central role in the development and homeostasis of an organism. These proteins are very important for understanding the mechanism of programmed cell death. Based on the idea of coarse-grained description and grouping in physics, a new feature extraction method with grouped weight for protein sequence is presented, and applied to apoptosis protein subcellular localization prediction associated with support vector machine. For the same training dataset and the same predictive algorithm, the overall prediction accuracy of our method in Jackknife test is 13.2% and 15.3% higher than the accuracy based on the amino acid composition and instability index. Especially for the else class apoptosis proteins, the increment of prediction accuracy is 41.7 and 33.3 percentile, respectively. The experiment results show that the new feature extraction method is efficient to extract the structure information implicated in protein sequence and the method has reached a satisfied performance despite its simplicity. The overall prediction accuracy of EBGW_SVM model on dataset ZD98 reach 92.9% in Jackknife test, which is 8.2-20.4 percentile higher than other existing models. For a new dataset ZW225, the overall prediction accuracy of EBGW_SVM achieves 83.1%. Those implied that EBGW_SVM model is a simple but efficient prediction model for apoptosis protein subcellular location prediction.