Objective To quantitatively assess left ventricular global systolic and diastolic function using volume-time curves (VTC) by real-time three-dimensional echoeardiography(RT-3DE).Methods Ninty-eight subjects were divided into four groups.Group A consisted of twenty-eight normal subject,group B included twenty-four patients with hypertensive(HTN), group C consisted of twenty-four patients with coronary artery disease(CAD) and group D of twenty-two patients having dilated cordiomyopathy (DCM).Participants were selected undergoing full volume RT-3DE.The global and 17-segmental VTCs were obtained by the off-line Qlab software.The end-diastolic volume(EDV), end-systolic volume(ESV) and ejection fraction(EF) were derived from VTCs.The peak ejection rate(PER),peak early filling rate (PFR),PER/EDV and PFR/EDV were calculted.Results EDV and ESV of group B,C and D was significantly larger than that of group A(all P < 0.05), EF and PER/EDV of group C and D significantly lower than those of group A.There were close correlation between PER/EDV and EF ( r=0.694, P＜0.05).Comparison of VTC pattern of HTN,CAD and DCM with that of healthy participants revealed the loss of symmetry of systolic and diastolic pattern.Conclusions Generation of VTCs by RT3DE is a promising approach to evaluate left ventricular global systolic and diastolic function.PER/EDV and PFR/EDV may be potential parameters for assessing left ventricular global systolic and diastolic function.

Based on previous research on the knowledge network,the paper summarizes the relevant research on the concept evolution,structure,model,evaluation index and practical application of the knowledge network based on the literature carrier,and provides reference for knowledge management and scientific innovation management.

Objective To analyze the epidemic characteristics of the imported malaria cases in Guangxi Zhuang Autono?mous Region in 2014,so as to assess the transmission risk and explore the prevention and control strategy. Methods The data of the malaria epidemic situation in the network direct report system of Guangxi in 2014 and the annual report of malaria epidem?ic situation in 14 cities were collected. The epidemiological information of the imported malaria cases was analyzed. Results A total of 184 malaria patients were reported in Guangxi in 2014,with a descent rate of 85.29%when compared to that in 2013 (1 251 cases),and the incidence rate was 0.35/100 000. All the cases were imported from abroad,and four species of Plasmodi?um were found in their blood samples. The number of falciparum malaria cases was the most(49.46%),followed by the ovale malaria cases(32.07%). All the cases were distributed in 32 counties(districts)of 11 cities ,and 65.76%of them were distrib?uted in Shanglin County. Most of the cases were male(98.37%),and those aged in 20-49 years accounted for 87.50%. The im?ported cases came from 14 countries of Africa(86.41%)and 2 countries of Southeast Asia(13.59%),in which,48.37%of the cases were imported from Garner. The main occupation of the cases in abroad was gold mining work(86.96%). The cases were reported all the year around,with no obvious seasonality. The interval time of back home to attack of the patients with tertian ma?laria and ovale malaria was longer. Conclusion Africa and Southeast Asia is the main source of imported malaria cases in Guangxi,and the migrant workers returning home may have the risk of malaria recurrence,which should be paid enough atten?tion to.

Objective To evaluate the effect of malaria surveillance and control of Guangxi Zhuang Autonomous Region in 2013,and explore the suited surveillance and management of imported malaria cases,so as to provide the evidence for formulat?ing the scientific control measures of imported malaria. Methods The endemic data and control measures of malaria in Guangxi in 2013 were collected and analyzed statistically. Results A total of 1 251 malaria cases were found in Guangxi in 2013,with 88.25%(1 104 cases)of falciparum malaria,8.63%(108 cases)of vivax malaria,0.64%(8 cases)of quartan malaria,1.52%(19 cases)of ovale malaria,and 0.96%(12 cases)of mixed infection;93.21%(1 166 cases)were off?farm workers;96.56%(1 208 cases)were imported from Africa and mainly consisted of falciparum malaria cases;3.44%(43 cases)were imported from southeast Asia and mainly consisted of vivax malaria cases. The cases of imported malaria were increasing and the infection rate in 2013 was increased by 464%compared with that in 2012. Conclusion The imported malaria cases in Guangxi mainly come from Africa at present. Promoting the health education and professional skill of malaria control and treatment ,as well as the diagnosis and treatment of the patients in early time are important measures to control the imported malaria.

Objective:To explore the effect of alternating food restriction on blood glucose, body mass index (BMI) and blood lipids in overweight or obesity patients with type 2 diabetes mellitus.Methods:A prospective cohort study was used. Three hundred overweight or obesity type 2 diabetes mellitus patients with stable blood glucose control from December 2021 to February 2022 in Nanxiang Hospital, Jiading District of Shanghai City were selected. The patients were divided into alternating food restriction group (adopting alternating food restriction therapy, giving balanced meal plates, reducing 30% of calories intake every other day), low carbohydrate high protein group (adopting low carbohydrate and high protein therapy, giving low carbohydrate and high protein reduction meal plates, reducing 15% of calories intake every day) and balanced diet group (adopting balanced diet therapy, giving balanced meal plates) by random digits table method with 100 cases each. All three groups received intervention treatment for 6 months. The height and body mass before intervention and the end of intervention and 6 months after intervention were measured, and the BMI was calculated. The levels of glycosylated hemoglobin (HbA 1c), fasting blood glucose (FBG), 2 h postprandial blood glucose (2 h PBG), triacylglycerol (TG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) were measured. Results:At the end, 280 cases were completed the study. There were 90 cases in the alternating food restriction group, 90 cases in the low carbohydrate high protein group, and 100 cases in the balanced diet group. There were no statistical differences in HbA 1c, FBG, 2 h PBG, BMI, TG, TC and LDL-C before intervention among the three groups ( P>0.05). At the end of the intervention, the HbA 1c and FBG in alternating food restriction group and low carbohydrate high protein group were significantly lower than those in balanced diet group: (6.50 ± 0.39)% and (6.67 ± 0.30)% vs. (6.79 ± 0.32)%, (6.47 ± 0.61) and (6.80 ± 0.30) mmol/L vs. (6.94 ± 0.37) mmol/L, the indexes in alternating food restriction group were significantly lower than those in low carbohydrate high protein group, and there were statistical difference ( P<0.05); the 2 h PBG and BMI in alternating food restriction group and the low carbohydrate high protein group were significantly lower than those in balanced diet group: (8.83 ± 0.63) and (8.81 ± 0.70) mmol/L vs. (9.45 ± 0.85) mmol/L, (25.99 ± 2.13) and (26.53 ± 2.16) kg/m 2 vs. (27.24 ± 2.24) kg/m 2, and there were statistical differences ( P<0.05), there were no statistical differences in 2 h PBG and BMI between alternating food restriction group and the low carbohydrate high protein group ( P>0.05). Six months after intervention, the HbA 1c, 2 h PBG and BMI in alternating food restriction group were significantly lower than those in low carbohydrate high protein group and balanced diet group: (6.62 ± 0.29)% vs. (6.79 ± 0.19)% and (6.84 ± 0.23)%, (9.21 ± 0.53) mmol/L vs. (9.48 ± 0.66) and (9.55 ± 0.51) mmol/L, (25.60 ± 1.67) kg/m 2 vs. (27.26 ± 2.42) and (27.79 ± 2.49) kg/m 2, and there were statistical differences ( P<0.05), there were no statistical differences in HbA 1c, 2 h PBG and BMI between low carbohydrate high protein group and balanced diet group ( P>0.05). At the end of intervention and 6 months after intervention, there were statistical differences in TG, TC and LDL-C among the three groups ( P<0.05); among them, the TG in alternating food restriction group was significantly lower than that in low carbohydrate high protein group and the balanced diet group: (1.67 ± 0.70) mmol/L vs. (1.99 ± 0.89) and (2.49 ± 0.94) mmol/L, (1.70 ± 0.71) mmol/L vs. (2.04 ± 0.96) and (2.53 ± 1.08) mmol/L, and there were statistical differences ( P<0.05), there was no statistical difference in TG between the low carbohydrate high protein group and balanced diet group ( P>0.05). Conclusions:The alternating food restriction therapy in overweight or obesity patients with type 2 diabetes mellitus can not only reduce blood glucose, improve blood lipids, but also reduce BMI, and the overall effect is better than that of low carbohydrate high protein therapy.

Objectiveto investigate the differential expression of intestinal flora and serum metabolites and potential biomarkers in patients with pre-diabetic sputum syndrome. MethodA total of 34 patients with pre-diabetic sputum syndrome were included as the phlegm syndrome group，and 37 healthy people were selected as the normal group. Serum and fecal samples of the two groups were collected，and liquid chromatography-mass spectrometry （LC-MS） non-targeted metabolomics and 16S rRNA high-throughput sequencing technology were used to detect serum metabolites and different intestinal flora of the two groups and explore the relationship among pre-diabetic sputum syndrome，serum metabolites，and intestinal flora. ResultIn the distribution of disease syndrome elements in the phlegm syndrome group，the first five disease syndrome elements in terms of frequency and proportion were dampness （73.53%），Qi stagnation （58.82%），Yin deficiency （50.00%），blood stasis （41.18%），and heat （35.29%）. According to the frequency and proportion of disease location syndrome elements，the first three main disease location syndrome elements were spleen （100.00%），liver （41.18%），and kidney （23.53%）. The results of 16S rRNA high-throughput sequencing showed that there were 44 different intestinal flora between the two groups. In order genus，there were significant differences in Bifidobacterium，Veillonococcus，and Roseococcus between the two groups （P<0.05）. The diversity，abundance，and evenness of intestinal flora in the phlegm syndrome group were lower than those in the normal group，with the difference not statistically significant. There was no significant difference in the community structure between two groups. The results of serum metabolomics showed that there were 13 differential metabolites in the two groups，which were mainly concentrated in amino acid metabolism，bile secretion，bile acid biosynthesis，and lipid metabolism （P<0.05）. The correlation among differential metabolites，intestinal flora，and syndrome elements was analyzed，and the results showed that ① lysine was positively correlated with spleen，Yin deficiency，and blood stasis，while taurocholic acid was positively correlated with liver，kidney，blood stasis，and dampness，and there was a positive correlation between taurocholic acid and yin deficiency and heat. The taurochenodeoxycholic acid was positively correlated with liver and dampness，and there was a negative correlation between arachidonic acid and dampness，as well as a positive correlation between glucose and spleen and blood stasis. ② Clostridium was positively correlated with spleen，kidney，Yin deficiency，and Qi stagnation. Rosepiella was negatively correlated with spleen，and Sutterella was negatively correlated with dampness. Bacteroides was negatively correlated with the spleen and kidney，and Bifidobacterium was negatively correlated with the spleen and dampness. ③ Bifidobacterium was positively correlated with glycine，threonine，lysine，and deoxycholic acid significantly，negatively correlated with cholic acid significantly，and positively correlated with taurochenodeoxycholic acid and pyruvic acid. Clostridium was positively correlated with glycine significantly and positively correlated with threonine and lysine. Lachnospira was negatively correlated with glycine，threonine，and pyruvic acid. Lysine was also negatively correlated with Faecalibacterium and Eubacterium ventriosum and positively correlated with Megamonas. There was a positive correlation between taurocholic acid and glycine bile acid and Campylobacter，between taurochenodeoxycholic acid and Veillonococcus，and between glucose and Rosepiella and Eubacterium ventriosum. There was a negative correlation between pyruvic acid and Escheria-Shigella and between taurochenodeoxycholic acid and Prevotella. Conclusionthere are differences in intestinal flora and serum metabolites between patients with pre-diabetic sputum syndrome and healthy people. The intestinal flora and metabolites have been disturbed in the stage of pre-diabetes，Bifidobacterium，Clostridium，Lachnospira，glycine，threonine，and lysine may be the breakthrough to explore the development of pre-diabetic sputum syndrome.