1.Relationship Between the Progression Rate of Corotid Maximal Plaque Area and the Risk of New Ischemic Cardiovascular Disease
Meng WANG ; Gaoqiang XIE ; Hao WANG ; Fuxiu REN ; Lirong LIANG ; Liancheng ZHAO ; Ying YANG ; Wuxiang XIE ; Ping SHI ; Yangfeng WU
Chinese Circulation Journal 2014;(7):532-536
Objective: To explore the progression rate of cortid maximal plaque area and the risk of new ischemic cardiovascular disease (ICVD) in a rural cohort in Beijing.
Methods: The PRC-USA collaborative study had been regularly conducted in Shijingshan area in Beijing. The carotid ultrasound examination, ICVD risk factor and acute cardiovascular events follow-up were conducted in those participants. A total of 1479 subjects who received at least 2 carotid ultrasound examinations and had no cardiovascular disease before the second ultrasound were studied. They were divided into 5 groups:①Control group, the participants had no plaque detected by 2 ultrasounds; ② New plaque group, new plaque was found at the second ultrasound examination; ③ Plaque regression group; ④ Plaque stabilized group and ⑤ Plaque progression group. The hazard ratio (HR) between the progression rate of corotid maximal plaque area and new ICVD events was estimated by Cox proportional hazard regression analysis .
Results: Compared with Control group, the HR for new ICVD events were higher in groups②,③,④and⑤at 3.5, 5.7, 6.2 and 7.3 respectively, all P<0.05. The increasing trend of HRs remained signiifcant with the adjusted age and gender, P<0.001.
Conclusion: The progression rate of maximal corot id plaque area rate could predict the risk of new ICVD events in clinical practice.
2.Relationship Between the Changes of Plasma Levels of Resistin With the Contemporary Body Weight Changes in the Same Population
Guohui FAN ; Linfeng ZHANG ; Ying LI ; Liancheng ZHAO ; Zuo CHEN ; Ping SHI ; Fuxiu REN ; Min GUO ; Ye TIAN ; Xiangfeng LU
Chinese Circulation Journal 2015;(7):665-669
Objective: To explore the relationship between the changes of plasma levels of resistin with the contemporary body weigh changes in the same population. Methods: The community based epidemiological surveys were carried out in the same population in Shijingshan district of Beijing at the year of 2005 and year of 2010. A total of 943 subjects with the entire information of cardiovascular related risk factors were enrolled including 316 male with the mean age of (58.2 ± 8.5) years and 627 female with the mean age of (59.3 ± 7.5) years. Plasma levels of resistin in both year of 2005 and year of 2010 in all subjects were recorded, and the subjects were divided into 4 groups based on the quartile levels of resistin. Group①, the subjects with plasma level of resistin ≤ (-0.66) mmol/L,n=239, Group②, resistin level (from -0.67 to 0.25) mmol/L,n=233, Group③, resistin level (0.26-1.24) mmol/L, n=235 and Group④, resistin level ≥1.25 mmol/L,n=236. Pearson correlation study with uni- and multi- regression analysis were conducted to investigate the relationship between the changes of plasma levels of resistin with the contemporary body weight changes in the same population.Results: The uni-variate analysis showed that in female subjects, plasma levels of resistin were obviously related to the percentage (%) of body weight changes (correlation coefifcient: 0.1173), body weight index (kg/m2) changes (0.1521), the% of body weight index changes (0.1412), the waist circumference (cm) changes (0.1228) and the % of waist circumference changes (0.1057) respectively, allP<0.05; while the above changes in male subjects were not signiifcant, allP>0.05. Multi-regression analysis indicated that with adjusted baseline variables, in female subjects, the plasma levels of resistin were obviously related to body weight (kg) changes and the % of body weight changes (regression coefifcient: 0.0261 and 0.2916), body weight index (kg/m2) changes and % of body weight index changes (0.2157 and 0.3072), the waist circumference (cm) changes and the% of waist circumference changes (0.0532 and 0.2738) respectively, allP<0.05; while the above changes in male subjects were not signiifcant, allP>0.05. Conclusion: The changes of plasma levels of resistin are signiifcantly related to contemporary body weight changes in female subjects, but not in male subjects.
3.Disease burden of liver cancer in Jinchang cohort.
Xiaobin HU ; Yana BAI ; Hongquan PU ; Kai ZHANG ; Ning CHENG ; Haiyan LI ; Xiping SHEN ; Fuxiu LI ; Xiaowei REN ; Jinbing ZHU ; Shan ZHENG ; Minzhen WANG ; Min DAI
Chinese Journal of Epidemiology 2016;37(3):321-324
OBJECTIVETo understand the current status of the disease burden of liver cancer in Jinchang cohort.
METHODSAll the liver cancer death data from 2001 to 2013 and medical records of liver cancer cases from 2001 to 2010 in Jinchang cohort were collected for the analyses of the mortality, standardized mortality, potential years of life lost (PYLL) and working PYLL (WPYLL) associated with liver cancer. Spearman correlation and the average growth rate were used to analyze the trends.
RESULTSA total of 207 liver cancer deaths occurred in Jinchang cohort from 2001 to 2013, accounting for 16.68% of total cancer deaths. There were 259 liver cancer inpatients, accounting for 6.79% of the total cancer cases inpatients, in which 83 died (32.05%). Liver cancer death mainly occurred in males, accounting for 88.89%, and the liver cancer deaths in females accounted for 11.11%. The standardized mortality rate was 42.32/100,000 in males and 15.31/100,000 in females. The growth rate of liver cancer mortality was 5.62% from 2001 to 2013. Liver cancer deaths mainly occurred in age groups 60-69 years (26.57%) and 50-59 years (24.15%). The PYLL was 2906.76 person-years, the average PYLL was 14.04 years. The WPYLL was 1477.00 person-years and the average WPYLL was 7.14 years. The direct economic burden of liver cancer was 6270.78 Yuan per person, 301.75 Yuan per day. The average stay of hospitalization was 21.32 days.
CONCLUSIONThe mortality rate of liver cancer is increasing and the disease burden is still heavy.
Aged ; China ; epidemiology ; Cohort Studies ; Cost of Illness ; Female ; Hospitalization ; economics ; statistics & numerical data ; Humans ; Liver Neoplasms ; economics ; mortality ; Male ; Middle Aged