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Objective@#To investigate the delay in identification, healthcare-seeking, and definitive diagnosis of tuberculosis among students in Urumqi City from 2010 to 2019, and to identify the influencing factors, so as to provide insights into tuberculosis control among students.@*Methods@#The demographic and diagnosis data of tuberculosis patients in Urumqi City from 2010 to 2019 were captured from the Tuberculosis Information Management System of Chinese Disease Control and Prevention Information System. The delay in identification, healthcare-seeking and definitive diagnosis of tuberculosis was analyzed among students, and the factors affecting the delay in identification, healthcare-seeking and definitive diagnosis of tuberculosis were identified using a multivariable logistic regression model. @*Results@#A total of 996 tuberculosis cases were identified among students in Urumqi City from 2010 to 2019. There were 702 students with delay in identification of tuberculosis (70.48%), 500 students with delay in healthcare-seeking (55.22%) and 534 students with delay in definitive diagnosis (53.61%). Multivariable logistic regression analysis identified active identification (OR=0.116, 95%CI: 0.032-0.420) as a factor affecting delay in identification of tuberculosis, women (OR=1.424, 95%CI: 1.104-1.836), non-local household registration (OR=1.311, 95%CI: 1.016-1.694) and active identification (OR=0.232, 95%CI: 0.064-0.848) as factors affecting delay in healthcare-seeking, and active identification (OR=0.143, 95%CI: 0.032-0.644) as a factor affecting delay in definitive diagnosis of tuberculosis among students.@*Conclusions@#There is a high proportion of delay in identification, healthcare-seeking and definitive diagnosis of tuberculosis among students in Urumqi City from 2010 to 2019, and female and non-locally household-registered students were at a high risk of delay in healthcare-seeking for tuberculosis. Active detection and screening of tuberculosis should be reinforced.
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Objective:This study explored the correlation between carotid intima-media thickness (CIMT) and cardiac diastolic dysfunction in patients with type 2 diabetes mellitus (T2DM).Methods:381 T2DM patients hospitalized in the endocrinology department of the Second Affiliated Hospital of Guangzhou Medical University from January 2019 to January 2020 were selected. According to E/A value, they were divided into normal diastolic function group (149 cases) and incomplete diastolic function group (232 cases); According to the CIMT value, they were divided into CIMT normal group (213 cases) and CIMT thickening group (168 cases). The general data, blood lipid, blood glucose, liver and kidney function, cardiac color Doppler ultrasound and carotid color Doppler ultrasound were compared and analyzed. Multivariate logistic analysis was used to analyze the influencing factors of cardiac diastolic dysfunction in patients with T2DM. Receiver operating characteristic curve (ROC) was used to analyze the ability of CIMT value to predict cardiac diastolic dysfunction in T2DM patients.Results:Multivariate regression analysis showed that age ( OR=1.067, P<0.001), increased CIMT ( OR=1.863, P=0.011) and systolic blood pressure ( OR=1.014, P=0.016) were the risk factors for occurrence of cardiac diastolic dysfunction in patients with T2DM ( P<0.05). ROC analysis demonstrated that the area under the curve (AUC) for cardiac diastolic dysfunction diagnosed by CIMT was 0.625 (95% CI: 0.568-0.683, P<0.001). The cut-off value was 0.875, with a sensitivity of 52.6% and specificity of 69.1%. Conclusions:Increased CIMT is an independent risk factor for cardiac diastolic dysfunction in patients with T2DM. The level of CIMT has certain predictive value for the occurrence of cardiac diastolic dysfunction.
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Nature killer ( NK) cells, important innate immune cells, can respond in an antigenindependent manner as well as secrete huge amounts of cytokines, which can regulate acquired immunity. The role of NK cells in immune system attracts increasingly attention. Resent studies have shown that the regulating function of NK cells is by reacting with dendritic cells and secreting cytokines.