Objective: To investigate the level of mental heath literacy and influencing factors among grassroots mental heath workers in Xinjiang Uygur Autonomous Region, so as to provide insights into relevant intervention measurements. Methods: Full-time (part-time) grassroots mental heath workers were sampled from grassroots healthcare institution (community health service centers and township health institutes) in Xinjiang Uygur Autonomous Region. Participants' demographics and achievements of the target for mental heath literacy were collected through self-designed questionnaires and the Mental Health Literacy Questionnaire, and factors affecting the achievements of the target for mental heath literacy were identified using a multivariable logistic regression model. Results: A total of 3 382 respondents were recovered, including 771 males (22.80%) and 2 611 females (77.20%), and had a mean age of (35.59±9.21) years. There were 491 respondents that met the target of the mental health literacy (14.52%). Multivariable logistic regression analysis showed that grassroots mental heath workers who were Han Ethnicity (OR=2.735, 95%CI: 2.166-3.454), had high levels of education (college, OR=1.722, 95%CI: 1.299-2.283; bachelor degree and above, OR=2.681, 95%CI: 1.966-3.656), worked at community health service centers (OR=1.435, 95%CI: 1.142-1.803), physician (OR=1.877, 95%CI: 1.239-2.843) and engaged in mental health prevention and treatment for 2 to <5 years (OR=1.388, 95%CI: 1.059-1.818) were more likely to meet the target of the mental health literacy. Conclusion The proportion of achieving the target for mental health literacy is low among grassroots mental health care workers in Xinjiang Uygur Autonomous Region, and ethnicity, educational level, organization category, occupation and service length of mental health prevention and treatment are the influencing factors.

Objective: To investigate the prevalence and influencing factors of latent tuberculosis infection (LTBI) among freshmen in a vocational college in Xinjiang Uygur Autonomous Region, so as to provide insights into tuberculosis control in vocational colleges. Methods : All freshmen enrolled in a vocational college in Xinjiang Uygur Autonomous Region in 2020 were recruited and participants' demographics, life style, history of tuberculosis contacts, frequency of ventilation and disinfection in dormitories and classrooms and awareness of core tuberculosis control knowledge were collected through questionnaire surveys. LTBI was detected among freshmen by means of purified protein derivative test (PPD skin test) and chest X-ray scans, and the factors affecting LTBI were identified using a multivariable logistic regression model. Results: A total of 5 463 freshmen were screened for LTBI, with a screening rate of 100.00%, and the participants included 2 151 men and 3 312 women, with a male/female ratio of 0.65︰1, and had a mean age of (16.83±1.05) years. A total of 388 freshmen were detected with LTBI, with a detection rate of 7.10%, and no active pulmonary tuberculosis was detected. The prevalence of LTBI was 9.44% in men and 5.59% in women. Multivariable logistic regression analysis identified males (OR=1.587, 95%CI: 1.281-1.965), smoking (OR=2.108, 95%CI: 1.355-3.278) and a history of tuberculosis of families (OR=2.851, 95%CI: 1.615-5.034) as risk factors for LTBI among freshmen, and knowing core tuberculosis control knowledge as a protective factor of LTBI among freshmen (OR=0.276, 95%CI: 0.218-0.350). Conclusions The risk of LTBI was associated with gender, smoking, history of tuberculosis of families and understanding of the core tuberculosis control knowledge among freshmen in this vocational college in Xinjiang Uygur Autonomous Region. Health education about the core tuberculosis control knowledge is recommended to be reinforced among students in vocational colleges in Xinjiang Uygur Autonomous Region.

Objective To investigate the constituent ratio, clinical manifestation, diagnosis and treatment of gynecologic acute abdomen in patients age under 18. Methods A retrospective study was conducted on 237 patients under 18 years old who had been admitted in Rizhao People's Hospital from June 2013 to November 2016. The patients were divided into two groups:groupⅠ(under ten years old, 49 cases) and groupⅡ(ten to eighteen years old, 188 cases). The first visit departments, constituent ratio, clinical manifestations and treatment methods of the two groups were summarized and analyzed. Results The proportion of first visit department was gynecology department in the groupⅠwas lower than that in groupⅡ[18.4%(9/49)versus 69.1%(130/188), P<0.01]. The proportion of diseases in the two groups was different;the proportion of ovarian tumors(59.2%, 29/49), genital malformations(10.2%, 5/49)and ovarian torsions (10.2%, 5/49)in group Ⅰ were significantly higher than those in group Ⅱ, while the pregnancy related diseases in groupⅡ(37.2%, 70/188)was significantly higher than that in groupⅠ(P<0.01). Conclusions Clinicians should pay enough attention to the acute abdomen caused by gynecological factors in childhood and adolescence. The differential diagnosis of acute abdomen should pay attention to. In the choice of treatment methods, we should give full consideration to the special age, and try to maintain their normal growth and physiological function.

Objective:To investigate the epidemiological characteristics of sepsis-associated encephalopathy (SAE) in patients with sepsis, analyze its risk factors and build a prediction model, which provides evidence for early clinical identification of SAE patients and improvement of clinical outcomes.Methods:A retrospective observational study was conducted. Sepsis patients admitted to the critical care medical center of the First Affiliated Hospital of Xinjiang Medical University from February 2022 to February 2023 were enrolled. According to whether SAE occurred, the patients were divided into sepsis group and SAE group. The 24 patients without sepsis in the same period were used as controls (non-sepsis group). Demographic data, relevant scores and laboratory test indicators at admission to intensive care unit (ICU), and prognostic indicators were collected. Univariate and multivariate Logistic regression analysis was used to analyze the risk factors for sepsis and SAE. Receiver operator characteristic curve (ROC curve) was drawn. The predictive value of each risk factor for sepsis and SAE.Results:A total of 130 patients with sepsis were included, of which 52 had SAE, and the incidence of SAE was 40.00%. There were significant differences in the length of ICU stay and total length of stay among all groups, while there were no significant differences in hospitalization cost and mechanical ventilation time. Multivariate Logistic regression analysis showed that pulmonary infection [odds ratio ( OR) = 46.817, 95% confidence interval (95% CI) was 5.624-389.757, P = 0.000], acute physiology and chronic health evaluation Ⅱ (APACHEⅡ: OR = 1.184, 95% CI was 1.032-1.358, P = 0.016), sequential organ failure assessment (SOFA: OR = 9.717, 95% CI was 2.618-36.068, P = 0.001), Charson comorbidity index (CCI: OR = 4.836, 95% CI was 1.860-12.577, P = 0.001), hemoglobin (Hb: OR = 0.893, 95% CI was 0.826-0.966, P = 0.005), glutamyltranspeptidase ( OR = 1.026, 95% CI was 1.008-1.045, P = 0.006) were independent risk factors for sepsis in ICU patients. Pulmonary infection ( OR = 28.795, 95% CI was 3.296-251.553, P = 0.002), APACHEⅡ score ( OR = 1.273, 95% CI was 1.104-1.467, P = 0.001), SOFA score ( OR = 8.670, 95% CI was 2.330-32.261, P = 0.001), CCI ( OR = 5.141, 95% CI was 1.961-13.475, P = 0.001), Hb ( OR = 0.922, 95% CI was 0.857-0.993, P = 0.031), glutamyltranspeptidase ( OR = 1.020, 95% CI was 1.002-1.038, P = 0.030) were independent risk factors for SAE in sepsis patients. ROC curve analysis showed that the area under the curve (AUC) of pulmonary infection, APACHEⅡ score, SOFA score, CCI, Hb, and glutamyltranspeptidase for predicting sepsis were 0.792, 0.728, 0.987, 0.933, 0.720, and 0.699, respectively; the AUC of the combined prediction of the above 6 variables for sepsis was 1.000, with a sensitivity of 100% and a specificity of 100%. The AUC predicted by pulmonary infection, APACHEⅡ score, SOFA score, CCI, and Hb for SAE were 0.776, 0.810, 0.907, 0.917, and 0.758, respectively; the AUC of the combined prediction of the above 5 variables for SAE was 0.975, with a sensitivity of 97.3% and a specificity of 93.1%. Conclusions:Sepsis is more severe when accompanied by encephalopathy. Pulmonary infection, Hb, APACHEⅡ score, SOFA score and CCI were independent risk factors of SAE. The combination of the above five indicators has good predictive value for early screening and prevention of the disease.

OBJECTIVE: To explore the genetic basis for an individual with a para-Bombay phenotype. METHODS: A proband with mismatched forward and reverse serotypes for the ABO blood group was identified. Weakly expressed ABH blood type antigen on the surface of red blood cells was verified by absorption and release test, and the blood group substances in saliva was detected by sialic acid test. Exons 6 and 7 of the ABO gene and exons of the FUT1 and FUT2 genes were subjected to direct sequencing. RESULTS: The proband was found to be of O type by forward ABO serotyping and AB type by reverse ABO serotyping, though H and substance A and B were detected in her saliva. DNA sequencing revealed that she has harbored c.35C/T, c.328G/A, and c.504delC compound heterozygous variants of the FUT1 gene. Haploid analysis showed that her FUT1 genotype was h328A/h35T+504delC, which has been uploaded to the NCBI website (No. MW323551). CONCLUSION The para-Bombay phenotype of the proband may be attributed to the novel compound heterozygous variants including c.504delC of the FUT1 gene, which may affect its function by altering the activity of FUT1 glycotransferase.
ABO Blood-Group System/genetics* ; Alleles ; China ; Female ; Fucosyltransferases/genetics* ; Genotype ; Humans ; Phenotype

This study aimed to establish human IFN-gamma (hIFN-gamma) in vitro release assay and to apply it in diagnosis of human tuberculosis. Human IFN-gamma gene was cloned and expressed in Escherichia coli. The recombinant hIFN-gamma was purified and used as immunogen to immunize mice and rabbits respectively. Monoclonal and polyclonal antibodies were respectively developed and a sandwich ELISA was established. The heparized whole blood from 111 active tuberculosis patients and 292 clinical healthy controls were collected. The blood was stimulated with tuberculosis specific fused antigen ESAT-6/CFP-10 and the plasma was collected for IFN-gamma detection. The sensitivity for tuberculosis diagnosis was 95.5%, whereas the positive detection rate for the healthy controls was 16.7%. There was a significant difference between the patients and healthy controls (P<0.01) indicating that this assay had a high sensitivity and specificity, and thus could be promising in tuberculosis diagnosis.
Animals ; Antibodies, Monoclonal ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Interferon-gamma ; immunology ; secretion ; Mice ; Mice, Inbred BALB C ; Mycobacterium tuberculosis ; immunology ; Rabbits ; T-Lymphocytes ; immunology ; Tuberculosis ; diagnosis ; immunology

Objective:To investigate the status of depression and physiological, psychological and social factors among people with type 2 diabetes(T2DM), as well as the mediating effects of illness perception and diabetes distress on glycemic control and depression.Methods:A total of 511 patients with type 2 diabetes were recruited and investigated using general demographic questionnaire, self-rating depression scale(SDS), brief illness perception questionnaire(BIPQ) and diabetes distress scale(DDS). Body mass index (BMI) and hemoglobin a1c (HbA1c) were detected in laboratory.Results:The mean score of SDS was (57.48±9.94). The distribution of depression condition were 138(27.0%)without depression, 179(35%)with mild depression, 174(34.1%)with moderate depression and 20(3.9%)with severe depression.SDS score was significantly positively correlated with poor glycemic control ( r=0.157, P<0.01), illness perception( r=0.359, P<0.01) and four dimensions of diabetes distress( r=0.177-0.354, P<0.01). Partially mediating effect of illness perception( B=0.216, 95% CI=0.112-0.372) was found in glycemic control and depression, the proportion of effect was 25.9%.The chain mediating effect ( B=0.086, 95% CI=0.042-0.149) of illness perception and diabetes distress was also found between glycemic control and depression, whose indirect effect size was 10.3%. Conclusion:Glycemic control is significantly related with depression.Illness perception and diabetes distress are partly mediating the effect between glycemic control and depression.

Objective According to clinical demand of quantification evaluation on flat foot and high arch, an intelligent and rapid method to diagnose arch shape based on principal component analysis (PCA) of plantar pressure is proposed, and its clinic validity is tested. Methods Volunteers diagnozed as abnormal arch and healthy arch were included in this study, and a portable intelligent arch test system was designed and developed. By adopting thin-firm piezoresistive sensor array with 44 rows, 52 columns of sensing units, the system could collect plantar pressure distribution data from the subjects under static standing. Foot axis could be fitted automatically by using the self-programmed PCA, so that foot diagnosis was completed with diagnostic report. The plantar pressure results from the system were compared with those from the existing plantar pressure acquisition device, so as to verify precision of collected data. The accuracy of the diagnosis algorithm for flat foot, high arch and healthy foot was verified through comparison with clinical diagnosis. Results The result of the system had a good correlation with that of the existing plantar pressure acquisition device, the deviation of contact area acquired by the system was smaller than 3.2%, and the angle deviation of the fitted foot axis with clinically defined angel was less than 1°. The system was capable of making diagnosis on arch shape that was 92.6% consistent with the clinical diagnosis. Conclusions PCA is introduced to automatically fit foot axis to achieve the purpose of fast and accurate extraction of foot arch information. The method can be used to assist clinical diagnosis of flat foot and high arch foot, and contribute to quantative analysis on foot arch deformity and its pathogenesis study.