AIM: To investigate the correlation between the left ventricular filling type and geometry modality and functional change of the left ventricle in patients with hypertension. METHODS: Systolic function indexes (FS and EF) and diastolic function indexes (E, A, EAT, EDT, E/A,IVRT) in 120 patients with hypertension were measured by two dimensional ultrasonography (2-DUS) and M-mode and Doppler ultrasound. RESULTS: A rate of 83.5% in patients with hypertension appeared assured plump and configuration changes of left ventricle, and a rate of 84% in patients with hypertension appeared abnormal left ventricular filling function. The morphologic indexes were significantly different clearly in different left ventricular filling types, and the filling indexes were also significantly different in diferent left ventricular shapes. CONCLUSION: IVRT is a more important index than other factors to decide the left ventricular filling function. LVMI plays more important role than other factors in the left ventricular filling function.

Objective : To investigate the factors affecting concurrent sarcopenia among patients with cardiovascular diseases, so as to provide insights into early identification and prevention of cardiovascular diseases complicated with sarcopenia. Methods: A total of 250 inpatients with cardiovascular diseases in the Sixth Division Hospital of Xinjiang Production and Construction Corps were recruited and divided into the sarcopenia and non-sarcopenia groups according to the diagnostic criteria of sarcopenia. Subjects' basic characteristics, body mass index, blood biochemical indicators and human body composition parameters were collected using questionnaire surveys, and factors affecting concurrent sarcopenia among patients with cardiovascular diseases using a multivariable logistic regression model. Results: Among the 250 patients with cardiovascular diseases, there were 149 males (59.60%) and 101 females (40.40%). The overall prevalence of sarcopenia was 8.40% among the study subjects. The mean age and body mass index were (75.19±9.74) and (20.77±2.19) kg/m2 in the sarcopenia group and (65.24±11.50) years and (25.85±2.87) kg/m2 in the non-sarcopenia group. Multivariable logistic regression analysis identified age (OR=1.115, 95%CI: 1.030-1.207) and body mass index (OR=0.582, 95%CI: 0.445-0.761) were as factors affecting concurrent sarcopenia among patients with cardiovascular diseases. Conclusion Advanced age and low body mass index may increase the risk of concurrent sarcopenia among patients with cardiovascular diseases.

ObjectiveTo explore the correlation between skeletal muscle mass and metabolic syndrome （MS） disease risk among middle-aged and elderly community residents in Urumqi， and to provide a theoretical basis for understanding the relationship between skeletal muscle mass and MS among middle-aged and elderly community residents in China. MethodsA total of 1 438 community residents ≥ 50 years old were selected as the research subjects from July 2018 to January 2019 in Urumqi. They were selected from a multi-ethnic natural population cohort in Xinjiang. Data were collected through questionnaires， physical examination， bioelectrical impedance analysis （BIA）， laboratory tests， etc. Skeletal muscle mass was evaluated using the limb skeletal muscle mass index （SMI） corrected for body weight； MS was defined as it at least includes three of the following： abdominal obesity， hypertension， hyperglycemia， high triglycerides and low high-density lipoprotein cholesterol. SMI was divided into four quantile arrays of Q₁‒Q₄. Trend χ² test was applied to explore whether there was a correlation between SMI changes and MS. A multivariate logistic regression model was used to analyze whether there is a difference in the risk of MS between the higher SMI group （Q₂， Q₃， Q₄） and the reference group Q₁. ResultA total of 560 MS patients were detected in this study， with a prevalence rate of 38.94%. Among them， the prevalence rate of MS was 39.16% in males and 38.80% in females. The increase in male SMI grading level is not correlated with the prevalence of MS （trend P>0.05）； After adjusting for confounding factors （model 4）， the increase in SMI was still not related to the prevalence of MS （P_trend=0.995）. There was no statistical difference in the risk of MS between the lowest quartile group Q₁ and the highest quartile group Q₄ （OR=1.01， 95%CI： 0.69‒1.78）. The prevalence of MS in women gradually decreased with the increase of SMI grading level （P_trend<0.001）； After adjusting for confounding factors （model 4）， there was still a correlation between the increase of SMI and the prevalence of MS （P_trend=0.005）. With the lowest quartile of SMI Q₁ as the reference group， the risk of MS in Q₂ （OR=0.63， 95%CI： 0.40‒1.00）， Q₃ （OR=0.56， 95%CI： 0.34‒0.94）， Q₄ （OR=0.42， 95%CI： 0.23‒0.76） decreased. ConclusionAn increase in skeletal muscle mass may be beneficial for preventing MS， especially among middle-aged and elderly female residents. Considering the intensification of aging in China and the close relationship between MS and related comorbidities， managing skeletal muscle mass may contribute to potential MS prevention.

Objective To analyze the spatial and temporal characteristics of hand, foot and mouth disease (HFMD) in Hunan Province from 2016 to 2020. Methods The data of HFMD in Hunan Province from 2016 to 2020 were collected from China's Disease Prevention and Control Information System. HFMD spatial autocorrelation analysis was conducted by ArcGIS 10.2 software at county level, and spatial-temporal scan statistical analysis was performed by SaTScan 9.7 software. Results A total of 714 157 cases was reported in Hunan Province during 2016-2020, with an average annual incidence rate of 208.36/100 000. Global spatial autocorrelation showed that HFMD had a positive spatial correlation on the county scale in Hunan Province during this period. Local spatial autocorrelation indicated that the hot spots were mainly concentrated in the north of central Hunan, the east of central Hunan and the west of Hunan. Spatial-temporal scanning analysis revealed the first class clusters (RR = 6.65, P< 0.001) covering 34 counties in northern and central Hunan, mainly distributed in Yueyang City, Changsha City, Zhuzhou City, Yiyang City and Xiangtan City from May 2018 to June, and the second class clusters (RR = 3.02, P < 0.001) covering 40 counties in western Hunan and central and southwest Hunan from April 2016 to June 2016. Conclusion HFMD incidence exhibits seasonal and regional characteristics in Hunan Province. The prevention and control of HFMD should be guided by combining the characteristics of spatial-temporal clustering.