Objective:To investigate the correlation between serum cystatin C (Cys C) and left ventricular geometry in patients with obstructive sleep apnea syndrome (OSAS) complicated with prehypertension(PH).Methods:A total of 408 patients with PH and OSAS diagnosed by polysonogram monitoring in the sleep monitoring room of Respiratory Department, the First Hospital of Shanxi Medical University from July 2018 to June 2021 were collected. Serum Cys C concentration and echocardiography were performed in all patients. According to the classification of left ventricular geometry, all patients were divided into four groups: normal configuration (NG) group( n=297), concentric remodeling (CR) group( n=49), eccentric hypertrophy (EH) group( n=33), and concentric hypertrophy (CH) group( n=29). General clinical data, sleep parameters, blood biochemical parameters, Cys C concentration and echocardiographic parameters were compared among the four groups, and the correlation between serum Cys C and left ventricular geometry was analyzed. Results:①The serum Cys C concentration increased successively from NG group, CR group, EH group to CH group, and the increase in CH group was the most obvious ( P<0.05). In addition, there were statistically significant differences in body mass index (BMI), waist circumference, systolic blood pressure (SBP), diastolic blood pressure (DBP), severity of OSAS, the percentage of the time that the blood oxygen saturation was less than 90% of the total sleep time (T90), lowest oxygen saturation (Lowest-SaO 2), mean oxygen saturation (Mean-SaO 2), left ventricular end diastolic diameter (LVEDD), inter-ventricular septal diameter (IVST), left ventricular posterior wall thickness diameter (LVPWT), left ventricular mass index (LVMI), relative wall thickness (RWT), left ventricular ejection fraction (LVEF) and E/A among all groups (all P<0.05). ②Multivariate Logistic regression analysis showed that Cys C was independently correlated with CR (β=0.721, OR=2.057, P=0.047), EH(β=0.961, OR=2.614, P=0.017) and CH (β=1.180, OR=3.254, P=0.010). Conclusions:There is a correlation between serum Cys C and left ventricular geometry in OSAS patients with PH, suggesting that serum Cys C might be involved in the change of left ventricular geometry.

ObjectiveTo examine the clinical features of fractures and related risk factors in patients with rheumatoid arthritis(RA) in China.MethodsSix hundred and eighty-one RA patients were randomly selected from department of rheumatology of 18 hospitals of China.Data were obtained from the questionnaire,including age,sex,disease duration,the involvement of joints,treatment regimen,features of fractures etc.The possible risk factors of fracture in patients with RA were analyzed with a multi-variate Logistic regression analysis.Results① In 681 RA patients of the survey,48 patients had 54 fractures,and the incidence of fractures was about 8％.② Fractures occurred at various sites.Foot/ankle,femur,spine and wrist were the mostfrequent sites.③ The Logistic regression analysis showed that several factors increased the risk of fracture in RA patients,including long disease duration (OR:1.245,95％CI:0.987-1.570,P=0.065),male gender(OR:0.433,95％CI:0.199-0.942,P=0.035),more deformed joints(OR:1.042,95％CI:1.006-1.079,P=0.023),family history of RA (OR:2.201,95％CI:0.984-4.923,P=0.055),and high scores of SF-36(OR:1.017,95％CI:1.002-1.033,P=0.028).④ According to the degree of correlation from strong to weak,the risk factors of fracture were disease duration,SF-36,sex,number of deformed joints and family history of rheumatoid arthritis.ConclusionThe incidence of fracture is high in patients with rheumatoid arthritis.Several factors could increase the risk of fractures in RA patients,including long disease duration,male gender,more deformed joints,and family history of RA.In order to prevent the occurrence of fractures,cautions should be taken to prevent the development of fractures and treat the disease aggressively to suppress the disease activity of RA.

An in-depth understanding of the mechanism of lower extremity muscle coordination during walking is the key to improving the efficacy of gait rehabilitation in patients with neuromuscular dysfunction. This paper investigates the effect of changes in walking speed on lower extremity muscle synergy patterns and muscle functional networks. Eight healthy subjects were recruited to perform walking tasks on a treadmill at three different speeds, and the surface electromyographic signals (sEMG) of eight muscles of the right lower limb were collected synchronously. The non-negative matrix factorization (NNMF) method was used to extract muscle synergy patterns, the mutual information (MI) method was used to construct the alpha frequency band (8-13 Hz), beta frequency band (14-30 Hz) and gamma frequency band (31-60 Hz) muscle functional network, and complex network analysis methods were introduced to quantify the differences between different networks. Muscle synergy analysis extracted 5 muscle synergy patterns, and changes in walking speed did not change the number of muscle synergy, but resulted in changes in muscle weights. Muscle network analysis found that at the same speed, high-frequency bands have lower global efficiency and clustering coefficients. As walking speed increased, the strength of connections between local muscles also increased. The results show that there are different muscle synergy patterns and muscle function networks in different walking speeds. This study provides a new perspective for exploring the mechanism of muscle coordination at different walking speeds, and is expected to provide theoretical support for the evaluation of gait function in patients with neuromuscular dysfunction.
Humans ; Walking Speed ; Muscle, Skeletal/physiology* ; Electromyography ; Gait/physiology* ; Walking/physiology*

Objective To describe the distribution of medication costs of rheumatoid arthritis patients, and to analyze the factors that may affect the costs. Methods Data were obtained from a 12-month retrospective investigation of patients with rheumatoid arthritis (RA) across China. Department of Rheuma-tology of 18 hospitals were randomly selected. The data about their social conditions, clinical conditions, medications associated with RA such as disease-modifying antirheumatic drugs (DMARDs), non -steroidal anti -inflammtory drugs (NSAIDs), steroids, biologic agents were collected, and the costs of drugs were calculated. A non-parameter test and multivariate logistic regression analysis were performed. Results Six hundred and forty six patients were enrolled into the study, 435 completed data were chosen for analysis. The results demonstrated that the average costs per patient for medications in the past year was 8018 . The total medication costs were further subdivided into the following parts: DMARDs, (represented 20% of the total costs), biologic drugs (49%), NSAIDs (4%), herbal drugs (22%), steroids (1%). Data analysis showed that patients with higher education and higher incomes, with medical insurance,better health function status and outpatients paid more on DMARDs. Extra-articular manifestations increased the odds of the high-cost group (OR: 2.180, 95%CI: 1.335～3.558, P=0.002), while poor health function status increased the probability of paying high costs (OR: 1.373, 95%CI: 1.012～1.863, P=0.041). Conclusion High medication costs in RA do exist in RA patients. The costs of medication is associated with health function status and the presence of extra-articular manifestations.