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Expression and Clinical Significance of miR-146a and Tumor Necrosis Factor Receptor-Associated Factor 6 (TRAF6) in Myasthenia Gravis Patient Serum
Objective. To investigate the expression and clinical significance of miR-146a and tumor necrosis factor receptor-associated factor 6 (TRAF6) in myasthenia gravis (MG) patient serum. Methods. The serum of 52 patients with MG and 60 healthy individuals was collected in our hospital. The expression of miR-146a and TRAF6 in serum was measured by real-time PCR (RT-PCR). Comparison among serum miR-146a and TRAF6 mRNA group clinical characteristics and assorted expressions was done with the correlation among the two groups evaluated. Logistics regression was used to analyze the effect of miR-146a and TRAF6 mRNA on MG development with the ROC curve applied for an investigation into the diagnostic role of miR-146a and TRAF6 mRNA expression in MG development. Results. miR-146a and TRAF6 mRNA were significantly increased in the patients with MG compared with the healthy controls. Significant differences were identified in respiratory muscle endurance, muscle weakness level, vital capacity, and maximal voluntary ventilation between the two groups. Additionally, correlation analysis has discovered a positive correlation between miR-146a and TRAF mRNA expression in patients with MG. miR-146a and TRAF6 mRNA are independent MG occurrence factors exhibited by multivariate analysis while areas under ROC curve (AUCs) of miR-146a and TRAF6 mRNA in MG diagnosis were established by ROC curve analysis with results being 0.782 and 0.703, correspondingly. Conclusion. miR-146a and TRAF6 mRNA are highly expressed in MG patients and can affect MG occurrence. miR-146a is a suitable candidate marker for diagnosing MG.
Correlation between Occupational Stress and Coronary Heart Disease in Northwestern China: A Case Study of Xinjiang
Objective. To study the correlation between occupational stress and coronary heart disease in western China. Method. A case-control design was used. From June 2016 to May 2017, 310 patients with coronary heart disease (CHD) confirmed by coronary angiography (CAG) at the Heart Center of the First Affiliated Hospital of Xinjiang Medical University were recruited by cluster sampling, along with 536 healthy controls. The questionnaire was developed based on a Job Content Questionnaire (JCQ). An epidemiological survey was conducted to collect clinical data. Chi-squared test, analysis of variance, and binary logistic regression analysis were adopted. Results. (1) In the Han population, there were statistically significant differences in the composition of smoking, diets, sleep duration, sleep quality, and physical activity between two groups (all ). In the Uygur population, statistically significant differences in the composition of smoking, drinking, diets, sleep quality, and physical activity were found between two groups (all ). (2) Differences in sleep duration and physical activity between the Han and Uygur case groups were statistically significant (). (3) Differences in Gensini scores between the Han and Uygur case groups were statistically significant (). Differences in coronary artery lesions between the Han and Uygur case groups were statistically significant (). (4) In the Uygur population, the difference between the occupational stress level and CHD were statistically significant (). (5) The differences between the number of different pathological changes and the level of occupational stress in the Han and Uygur case groups were not statistically significant (). In the Han and Uygur case groups, the difference between the occupational stress level and Gensini high-level group were statistically significant (). (6) After adjustment for age and sex, significant increased risk effects for Han patients with CHD were found to be associated with sleep quality (; 95% CI: 1.047-1.782; ). Uygur patients with CHD was significantly associated with smoking (; 95% CI: 1.025-1.103; ) and occupation stress (; 95% CI: 1.757-3.062; ). Conclusion. Occupational stress is correlated with CHD for the Uygur population.
The Differences of Population Birth Defects in Epidemiology Analysis between the Rural and Urban Areas of Hunan Province in China, 2014–2018
Objectives. To compare the differences of epidemiology analysis in population birth defects (BDs) between the rural and urban areas of Hunan Province in China. Methods. The data of population-based BDs in Liuyang county (rural) and Shifeng district (urban) in Hunan Province for 2014–2018 were analyzed. BD prevalence rates, percentage change, and annual percentage change (APC) by sex and age were calculated to evaluate time trends. Risk factors associated with BDs were assessed using simple and multiple logistic regression analyses. Results. The BD prevalence rate per 10,000 perinatal infants (PIs) was 220.54 (95% CI: 211.26-230.13) in Liuyang and 181.14 (95% CI: 161.18-202.87) in Shifeng. Significant decreasing trends in BD prevalence rates were noted in the female PIs (, ) and the total BD prevalence rate in Shifeng (, ). Risk factors for BDs were as follows: rural area, male PIs, PIs with gestational weeks, PIs with birth , and migrant pregnancies. Conclusions. We should focus on rural areas, reduce the prevalence of premature and low birth weight infants, and provide maternal healthcare services for migrant pregnancies for BD prevention from the perspective of population-based BD surveillance.
A Systematic Analysis on COVID-19 Patients in Inner Mongolia Based on Dynamic Monitoring
COVID-19 has spread globally with over 90,000,000 incidences and 1,930,000 deaths by Jan 11, 2021, which poses a big threat to public health. It is urgent to distinguish COVID-19 from common pneumonia. In this study, we reported multiple clinical feature analyses on COVID-19 in Inner Mongolia for the first time. We dynamically monitored multiple clinical features of all 75 confirmed COVID-19 patients, 219 pneumonia patients, and 68 matched healthy people in Inner Mongolia. Then, we studied the association between COVID-19 and clinical characteristics, based on which to construct a novel logistic regression model for predicting COVID-19. As a result, among the tested clinical characteristics, WBC, hemoglobin, C-reactive protein (CRP), ALT, and Cr were significantly different between COVID-19 patients and patients in other groups. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was 0.869 for the logistic regression model using multiple factors associated with COVID-19. Furthermore, the CRP reaction showed five different time-series patterns with one-peak and double-peak modes. In conclusion, our study identified a few clinical characteristics significantly different between COVID-19 patients and others in Inner Mongolia. The features can be used to establish a reliable logistic regression model for predicting COVID-19.
Comparing Thoracic Extensive Laminoplasty (TELP) and Laminectomy in Treating Severe Thoracic Ligamentum Flavum Ossification: A Proposed Novel Technique and Case-Control Study
Objective. (1) To propose a novel technique named thoracic extensive laminoplasty (TELP) in curing severe thoracic ligamentum flavum ossification (STOLF) and (2) to compare outcomes between TELP and laminectomy in curing STOLF. Methods. Cases with fused or tuberous STOLF (Sato classification) treated from Jan 2015 to Jan 2017 were reviewed and divided into the TELP group (G1) and laminectomy group (G2) according to their surgical management. Data on demographics, complications, pre- and postoperative symptoms, residual spinal canal area (RSCA-1), residual spinal cord area (RSCA-2), modified Japanese Orthopedic Association score (mJOA), and health-related quality of life (HRQOL, based on the SF-36) were collected. Results. Fifty-nine G1 and sixty-two G2 patients were enrolled. No significant differences in demographic data or preoperative data of RSCA-1, RSCA-2, mJOA, or HRQOL were observed between the two groups (). Patients in G1 and G2 showed similar postoperative improvements in RSCA-1 and RSCA-2 at the final follow-up (). However, patients in G1 showed higher postoperative improvements in mJOA (, 95% CI: 1.279~5.727, ) at the final follow-up. Patients in G1 also showed higher postoperative improvements in HRQOL than patients in G2 () at the final follow-up, and patients with more severe STOLF presented with better improvements in HRQOL in G1 (). Dural laceration and cerebrospinal fluid leakage were observed in seven G2 patients, and no complications were found in G1 patients after surgery. Conclusion. TELP is a novel, effective, and safer surgical technique in treating STOLF and could be a substitute for traditional laminectomy.
Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology
In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabetes mellitus can be accurately diagnosed using conventional methods, these methods require the collection of data in a clinical setting and are unlikely to be feasible in areas with few medical resources. This technique combines an analysis of fundus photography of the physical and physiological features of the patient, namely, the tongue and the pulse, which are used in Traditional Chinese Medicine. A random forest algorithm was used to analyze the data, and the accuracy, precision, recall, and F1 scores for the correct classification of diabetes were 0.85, 0.89, 0.67, and 0.76, respectively. The proposed technique for diabetes diagnosis offers a new approach to the diagnosis of diabetes, in that it may be convenient in regions that lack medical resources, where the early detection of diabetes is difficult to achieve.