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Objective To identify the risk factors of new-onset hypertriglyceridemia (HTG) in kidney transplant recipients. Methods Clinical data of 149 kidney transplant recipients were retrospectively analyzed. According to serum triglyceride (TG) level after operation, they were divided into the non-HTG group (TG≤1.7 mmol/L, n=60) and new-onset HTG group (TG>1.7 mmol/L, n=89). Baseline data of all recipients were compared between two groups. The risk factors of HTG in kidney transplant recipients were analyzed by generalized estimating equation (GEE), and validated by multiple regression equations. Results No significant differences were observed in baseline data between two groups (all P>0.05). Multivariate analysis showed that the incidence of HTG in the middle and high tacrolimus (Tac) concentration groups was higher than that in the low Tac concentration group [odds ratio (OR) 3.11, 95% confidence interval (CI) 1.22-7.93, P=0.018 in the middle Tac concentration group; OR 5.11, 95%CI 1.31-19.98, P=0.019 in the high Tac concentration group]. Compared with type-A blood recipients, the risk of new-onset HTG was significantly increased in type-O blood counterparts (OR 2.77, 95%CI 1.14-6.71, P=0.024). The risk of new-onset HTG was decreased along with the increase of preoperative globulin level (OR 0.93, 95%CI 0.87-0.99, P=0.043). At postoperative 3 months, Tac blood concentration in the new-onset HTG group was significantly higher compared with that in the non-HTG group, and significant difference was observed (P<0.05). Multiple regression equations confirmed that the risk of new-onset HTG in type-O blood kidney transplant recipients was higher than that in type-A blood counterparts, and the risk of new-onset HTG in the middle and high Tac concentration groups was higher than that in the low Tac concentration group (all P<0.05). Conclusions Type-O blood kidney transplant recipients are more prone to HTG. It is necessary to strengthen postoperative monitoring and control of blood lipids. The blood concentration of Tac probably affects the new-onset HTG in kidney transplant recipients. Maintaining an appropriate blood concentration of Tac may be beneficial to lowering the risk of HTG.
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Objective@#To establish a prediction model for infectious disease index（IDI）by autoregressive integrated moving average（ARIMA）,and to provide forcast of infectious diseases to the public. @*Methods@#The data of the percentage of influenza-like illness（ILI）,the incidence rates of hand-foot-mouth disease（HFMD）and other infectious diarrhea（OID）from the 1st week of 2014 to the 14th week of 2018,and Breteau index（BI）from the 1st week of 2016 to the 14th week of 2018 were collected. ARIMA models were built to predict the risk indicators of ILI,HFMD,OID and BI. The weights of the four indicators were evaluated seasonally by the entropy weight method. Then the IDI was calculated and the data of ILI,HFMD, OID and BI from 15th to 19th week in 2018 was used for verification. @*Results@#The forecast was in summer,so IDI=ROUND（0.33×risk index of ILI percentage +0.47×risk index of HFMD incidence +0.10×risk index of OID incidence+0.10×risk index of BI）. The predicted IDI would be 2（less safe）in the whole city and Xiangzhou District,and 1（safe）in Doumen District and Jinwan District. The consistency rates of IDI prediction was 97.50%,95.00%,97.50%,85.00% and 77.50% from 15th to 19th week in 2018,respectively.@*Conclusion@#It was feasible to use IDI for short-term risk prediction of infectious diseases.
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Objective:To investigate the psychosocial factors related to Internet Addiction Disorder(IAD) in Chinese college students.Methods:1712 college students aged from 17 to 25 were collected from some universities or colleges in Wuhan City by cluster sampling, they accepted a questionnaire investigation. An unconditional Logistic stepwise regression analysis was employed to analyze the related psychosocial factors.Result:The rate of internet use was 94.5%. The prevalence rate of IAD among college students was 9.9%. No-condition Logistic stepwise regression analysis showed that males, the education of mother, anxiety, depression, social phobia and the attraction from internet use were risk factors for internet addiction but self-confident is a protective factor.Conclusion:IAD among college students is not rare, factors such as sex, mental health are associated with IAD.