Objective To investigate the relationship between resting heart rate (RHR) and target organs damage (TOD) in senile metabolic syndrome(SMS). Methods With case-control study,215 elderly patients with MS were divided into 3 groups according to the level of RHR [RHR1 group: RHR <70 beats/ minute (bpm) (n=55);RHR2group: 70 bpm ≤RHR<80 bpm [n=87);RHR3 group: RHR≥80 bpm (n=73).Mean-while ,60 healthy senile persons were taken as normal control group. For all objects researched, electrocardiography, echocardiography,carotid ultrasonography, creatinine clearance rate (Ccr) and quantitative assay for 24 hours' urina-ry microalbuminuria (MAU) were performed. Part of SMS patients was examined by coronary angiography and com-puter tomography (CT) of head. Results ① Compared with normal control group, RHR groups showed higher lev-els of carotid intima-medial thickness (IMT), carotid arterial diameter (CAD), left ventricular mass index (LVMI) and MAU, lower levels of left ventricular ejection fraction (LVEF) and Ccr (P<0.05 or 0.01). With RHR increas-ing among RHR groups,IMT,CAD,LVMI,MAU and the score of coronary artery stenosis increased,and LVEF and Cer decreased (P<0.05 or 0.01). ② The levels of IMT, CAD, LVMI and MAU were positively correlated to RHR (r=0.34,0.25,0.62, and 0.57, respectively, P<0.05 or 0.01). However, the levels of LVEF and Ccr were nega-tively correlated to RHR (r=-0.60,-0.52 respectively,P<0.01). ③ Logistic multivariate analysis showed that RHR, pulse pressure (PP), systolic blood pressure (SBP) and diastolic blood pressure (DBP) influenced TOD,such as myocardial hypertrophy,coronary heart disease,heart failure, cerebral stroke and renal damage in dif-ferent degrees, among them, PP and RHR played more important roles than those of other factors. Conclusion RHR may be an independent risk factors of TOD in senile MS. It is indicated that RHR regulation is important for the de-velopment of senile MS.

0.05 ).An excellent correlation exists between the two methods (Y= 0.99 X- 0.01 ,r= 0.97 ,P

Objective By analyzing the epidemic characteristics and related indicators of SARS (2003) and COVID-19(2020), to explore the reasons for the similarities and differences of the two epidemics, so as to provide reference for epidemic prevention and control. Methods The general situation, clinical classification, activity history, contact history, family members’ contact and incidence of the two infectious diseases in Guangzhou were collected and used to analyze the time characteristics, occupational characteristics, age characteristics and other key indicators of the two diseases, including the number of cases, composition ratio (%), mean, median, crude mortality, etc. Results A total of 1 072 cases of SARS (2003) were included in the study. 353 of which were severe cases with the incidence of 30.13%. 43 cases of death were reported with a mortality rate of 4.01%. The average age was 46 years old, and 26.31% of the cases were medical staff. The interval time between first report to continuous zero reports was 129 days. As to COVID-19 (2020), a total of 346 cases were included. 58 of which were severe cases with the incidence of 16.67%. One case of death was reported with a mortality rate of 0.29%. The average age was 38 years old, and no hospital infection among medical staff was reported. The interval time between first report to continuous zero reports was 35 days. Conclusions The prevention and control strategies for COVID-19 (2010) are more effective compared to that of SARS (2003), and the emergency response procedures are worth to be evaluated and summarized.