Objective To construct a rat model of nonalcoholic fatty liver disease (NAFLD) by feeding rats fat-rich diet and analyze the effect of insulin resistance (IR)in the development of NAFLD. Methods Male SD rats were randomly divided into normal diet group (NG, n =24) and fat-rich diet group (FG, n =24). At the end of feeding for2 weeks, 4 weeks, 6 weeks or 8weeks, 6 rats in NG and FG were randomly took out. Their weight were recorded, then the serum fasting blood sugar, fasting insulin, triglyceride, total cholesterol, ala-nine aminotransferase and aspartate aminotransferase were measured, and the fasting insulin resistance index and liver index (liver weight (g)/body weight(g) × 100%)was calculated. Then liver tissues were homogenized, and muleic dialdehyde and superoxide dismutase were determined. The hepatic steatosis in all rats was assessed according to the results under light microscope. Results The body weight of rats in NG increased faster than those in FG after six weeks. The liver index of rats in FG was markedly higher than that in NG since the second weekend. The rats in FG began to have hepatocyte steatosis from the second weekend, had insulin resistance, hyperlipidemia, dysfunction of liver and lipid peroxide of liver from the fourth weekend, suffered mild fatty liver from the sixth weekend, and developed to moderate fatty liv-er from the eighth weekend. Conclusions NAFLD with IR model was successfully developed by feeding SD rats with an improved rich-fat diet for 6 weeks. IR may play an important role in the development of NAFLD.

OBJECTIVETo analyze the survival time and its related factors among AIDS patients in Liangshan prefecture of Sichuan province from 1995 to 2012.

METHODSA retrospective cohort study was conducted to analyze the information of 5 263 AIDS patients. The data were collected from Chinese HIV/AIDS Comprehensive Information Management System. Life table method was applied to calculate the survival proportion, and Kaplan-Meier and Cox proportion hazard regression model were used to identify the factors related to survival time.

RESULTSAmong 5 273 AIDS patients, 819 (15.6%)died of AIDS related diseases; 2 782(52.9%) received antiretroviral therapy. The average survival time was 126.7 (117.1-136.2) months, and the survival rate in 1, 5, 10, 15 years were 95.4%, 78.8%, 54.2%, and 31.8% respectively. Univariate analysis showed a significant difference in survival time of age diagnosed as AIDS patients, nationality, transmission route, AIDS phase, CD4(+)T cell counts in the last testing, receiving antiretroviral therapy or not. Multivariate Cox regression showed age diagnosed AIDS below 50 years old ( < 15 years old:HR = 0.141, 95%CI:0.036-0.551;15-49 years old:HR = 0.343, 95%CI:0.241-0.489), HIV infection diagnosed phase (HR = 0.554, 95%CI:0.432-0.709), CD4(+)T cell counts last testing ≥ 350/µl (HR = 0.347, 95%CI:0.274-0.439) reduced the risk of dying of AIDS related diseases among AIDS patients. The patients having not received antiretroviral therapy had a higher risk of death(HR = 3.478, 95%CI:2.943-4.112) compared to those who received antiretroviral therapy.

CONCLUSIONSurvival time of AIDS patients was possibly mainly influenced by the age of diagnosed as AIDS patients, AIDS phase, CD4(+)T cell counts and whether or not received antiretroviral therapy. The early initiation of antiretroviral therapy could extend the survival time.

Acquired Immunodeficiency Syndrome ; mortality ; China ; epidemiology ; Cohort Studies ; HIV Infections ; Humans ; Proportional Hazards Models ; Retrospective Studies ; Survival Analysis ; Survival Rate