Adolescent ; Adult ; Ankle Injuries ; Ankle Joint ; diagnostic imaging ; Female ; Humans ; Ligaments, Articular ; diagnostic imaging ; injuries ; Male ; Middle Aged ; Radiography ; Rupture

OBJECTIVE: To present two cases in which an improved rhombotrapezius flap design was utilized maximally to cover a wide and deep surgical defect after extirpation of a malignant tumor in the temporo-facial area. SETTING: Tertiary Hospital. PATIENTS AND METHODOLOGY: Two cases of malignancy involving the temporo-facial area of the head are presented. Surgical design for the reconstruction of this defect using rhombotrapezius flap is presented. RESULTS AND DISCUSSION: Large and deep temporo-facial defects are adequately closed by rhombotrapezius flap with adequate tissue coverage. Surgical design proved to be acceptable with good flap take and overall cosmetic result. CONCLUSION: Rhombotrapezius flap can be used to cover a large deep defect and can provide more than adequate tissue coverage and bulk to any temporo-facial defects. (Author)
CASE REPORTS

The increasing prevalence of the aging population, and inadequate and uneven distribution of medical resources, have led to a growing demand for telemedicine services. Gait disturbance is a primary symptom of neurological disorders such as Parkinson's disease (PD). This study proposed a novel approach for the quantitative assessment and analysis of gait disturbance from two-dimensional (2D) videos captured using smartphones. The approach used a convolutional pose machine to extract human body joints and a gait phase segmentation algorithm based on node motion characteristics to identify the gait phase. Moreover, it extracted features of the upper and lower limbs. A height ratio-based spatial feature extraction method was proposed that effectively captures spatial information. The proposed method underwent validation via error analysis, correction compensation, and accuracy verification using the motion capture system. Specifically, the proposed method achieved an extracted step length error of less than 3 cm. The proposed method underwent clinical validation, recruiting 64 patients with Parkinson's disease and 46 healthy controls of the same age group. Various gait indicators were statistically analyzed using three classic classification methods, with the random forest method achieving a classification accuracy of 91%. This method provides an objective, convenient, and intelligent solution for telemedicine focused on movement disorders in neurological diseases.
Humans ; Aged ; Parkinson Disease/diagnosis* ; Aging ; Algorithms ; Gait ; Lower Extremity

OBJECTIVETo investigate the distribution of genetic polymorphism of HLA-B locus in Liaoning Han population.

METHODSThe technique of polymerase chain reaction-sequence specific primers (PCR-SSP) was adopted in genotyping a sample of 8962 unrelated healthy individuals collected from a Chinese Han population in Liaoning area. The allele frequency of HLA-B was calculated and was compared with the results from other population.

RESULTSThirty-four HLA-B alleles were detected. The more common HLA-B allele included B*15(14.42%), B*40(14.33%) and B*13(11.99%). The B*82 and B*83 were absent. Forty-nine HLA-B antigens were detected.

CONCLUSIONThe HLA-B allele polymorphism distribution of Liaoning Han population exhibits its own characteristic and the difference from old south and north Han population in China.

Alleles ; Asian Continental Ancestry Group ; genetics ; China ; Gene Frequency ; Genotype ; HLA-B Antigens ; genetics ; Humans ; Polymerase Chain Reaction ; Polymorphism, Genetic ; genetics

This review summarizes the present advance of effects of stress on hippocampal structure and function and the role of hippocampus in feedback regulation of thalamic-pituitary-adrenocortical (HPA) axis during stress. It shows that stress can affect hippocampal structure and function, on the other hand, the hippocampus can also suppress the stress reaction through the feedback regulation of HPA axis, but chronic stress can attenuate this regulation, then significantly impair its structure and function.
Animals ; Hippocampus/physiopathology* ; Humans ; Hypothalamo-Hypophyseal System/physiology* ; Pituitary-Adrenal System/physiology* ; Stress, Physiological/physiopathology*

Objective Describe the prevalence of depressive disorders (mood disorders with current depressive episode) among individuals treated in general hospitals in Beijing. Methods 2877 outpatients and 2925 inpatients ≥15 years of age from 50 general hospitals (selected by stratified random sampling) were screened by trained psychiatric nurses using a depression screening instrument and then the gold standard diagnosis of all subjects screened positive and 10% of those screened negative was determined by a trained psychiatrist who used a semi-structured interview schedule based on American psychiatric diagnostic criteria (DSM-IV). Results The adjusted point prevalence, one-year prevalence, and lifetime prevalence of any type of depressive disorder were 5.23%, 5.72% and 8.22%, respectively; corresponding prevalences of major depressive disorder were 2.94%, 3.46%, and 5.32%, respectively. Conclusions The prevalence of depressive disorders among patients in general hospitals in Beijing is not significantly higher than in the general population in China.

Attention level evaluation refers to the evaluation of people's attention level through observation or experimental testing, and its research results have great application value in education and teaching, intelligent driving, medical health and other fields. With its objective reliability and security, electroencephalogram signals have become one of the most important technical means to analyze and express attention level. At present, there is little review literature that comprehensively summarize the application of electroencephalogram signals in the field of attention evaluation. To this end, this paper first summarizes the research progress on attention evaluation; then the important methods for electroencephalogram attention evaluation are analyzed, including data preprocessing, feature extraction and selection, attention evaluation methods, etc.; finally, the shortcomings of the current development in the field of electroencephalogram attention evaluation are discussed, and the future development trend is prospected, to provide research references for researchers in related fields.
Humans ; Reproducibility of Results ; Electroencephalography

When performing eye movement pattern classification for different tasks, support vector machines are greatly affected by parameters. To address this problem, we propose an algorithm based on the improved whale algorithm to optimize support vector machines to enhance the performance of eye movement data classification. According to the characteristics of eye movement data, this study first extracts 57 features related to fixation and saccade, then uses the ReliefF algorithm for feature selection. To address the problems of low convergence accuracy and easy falling into local minima of the whale algorithm, we introduce inertia weights to balance local search and global search to accelerate the convergence speed of the algorithm and also use the differential variation strategy to increase individual diversity to jump out of local optimum. In this paper, experiments are conducted on eight test functions, and the results show that the improved whale algorithm has the best convergence accuracy and convergence speed. Finally, this paper applies the optimized support vector machine model of the improved whale algorithm to the task of classifying eye movement data in autism, and the experimental results on the public dataset show that the accuracy of the eye movement data classification of this paper is greatly improved compared with that of the traditional support vector machine method. Compared with the standard whale algorithm and other optimization algorithms, the optimized model proposed in this paper has higher recognition accuracy and provides a new idea and method for eye movement pattern recognition. In the future, eye movement data can be obtained by combining it with eye trackers to assist in medical diagnosis.
Animals ; Support Vector Machine ; Whales ; Eye Movements ; Algorithms

OBJECTIVE: To evaluate the early effectiveness of local infiltration anesthesia (LIA) with compound betamethasone in total knee arthroplasty (TKA). METHODS: The clinical data of 102 patients with knee osteoarthritis who were treated by TKA and met the selection criteria between May 2022 and March 2023 were retrospectively analyzed. They were divided into control group and study group according to whether LIA preparation was added with compound betamethasone, with 51 cases in each group. There was no significant difference of baseline data, such as age, gender, body mass index, operative side, preoperative range of motion (ROM), Knee Society Score (KSS), white blood cell (WBC), and hematocrit between the two groups ( P>0.05). The intraoperative total blood loss and hidden blood loss were recorded, and WBC was recorded on the 1st, 2nd, and 3rd days after operation. Pain was assessed by visual analogue scale (VAS) score on the 1st, 2nd, and 3rd days after operation and morphine intake milligrames equivalent within 48 hours after operation. Passive ROM, maximum extension and flexion angles of knee joint were measured on the 3rd day after operation; the early postoperative complications were recorded. RESULTS: There was no significant difference in total blood loss and hidden blood loss between the two groups ( P>0.05). The postoperative pain levels in both groups were relatively mild, and there was no significant difference in VAS scores in the first 3 days after operation and in morphine intake milligrams equivalent within 48 hours after operation between the two groups ( P>0.05). The WBC in the first 3 days after operation was significantly improved in both groups ( P<0.05). The WBC in the study group was significantly higher than that in the control group on the 1st and 2nd days after operation ( P<0.05), but there was no significant difference between the two groups on the 3rd day after operation ( P>0.05). On the 3rd day after operation, the maximum extension angle of knee joint in the study group was smaller than that in the control group, while the maximum flexion angle and passive ROM of knee joint in the study group were larger than those in the control group, and the differences were significant ( P<0.05). There were 6 cases of fever and 17 cases of deep venous thrombosis in the control group, and 1 case and 14 cases in the study group, respectively. There was no poor wound healing and periprosthetic joint infection in the two groups, and there was no significant difference in the incidence of complications between the two groups ( P>0.05). CONCLUSION The application of compound betamethasone in LIA during TKA is a safe and optimal strategy to promote the early postoperative rehabilitation of patients.
Humans ; Arthroplasty, Replacement, Knee ; Anesthesia, Local ; Retrospective Studies ; Treatment Outcome ; Knee Joint/surgery* ; Osteoarthritis, Knee/surgery* ; Blood Loss, Surgical ; Morphine

The gait acquisition system can be used for gait analysis. The traditional wearable gait acquisition system will lead to large errors in gait parameters due to different wearing positions of sensors. The gait acquisition system based on marker method is expensive and needs to be used by combining with the force measurement system under the guidance of rehabilitation doctors. Due to the complex operation, it is inconvenient for clinical application. In this paper, a gait signal acquisition system that combines foot pressure detection and Azure Kinect system is designed. Fifteen subjects are organized to participate in gait test, and relevant data are collected. The calculation method of gait spatiotemporal parameters and joint angle parameters is proposed, and the consistency analysis and error analysis of the gait parameters of proposed system and camera marking method are carried out. The results show that the parameters obtained by the two systems have good consistency (Pearson correlation coefficient r ≥ 0.9, P < 0.05) and have small error (root mean square error of gait parameters is less than 0.1, root mean square error of joint angle parameters is less than 6). In conclusion, the gait acquisition system and its parameter extraction method proposed in this paper can provide reliable data acquisition results as a theoretical basis for gait feature analysis in clinical medicine.
Humans ; Biomechanical Phenomena ; Gait ; Lower Extremity ; Foot ; Gait Analysis ; Reproducibility of Results