Objective To investigate the diabetes mellitus(DM) related knowledge of DM patients and analyze the factors influencing health education effect.Methods Besides drug treatment,156 old patients with type 2 DM received intensive diabetes education(special lectures on diabetes control) every month for the first half a year,then once every 3 months to 1 year.The frequency receiving intensi000ve education of patients was recorded and changes of fast blood glucose(FBG),postprandial 2 hours blood glucose(P2hBG) and HbA1c were monitored.Results The number of patients receiving intensive education decreased from 156 at start to 33 at the 12th month,the compliance rate was only 21.2%.The full data of 32 cases showed that the levels of FBG and P2hBG decreased significantly(all P<0.01),but the level of HbA1c was no changed.Conclusion Health education can improve the therapeutic effect,but the compliance rate of patients is very low,it influences the health education effect of DM patients.

Objective:To explore the behavior and influencing factors of mobile health (m-Health) information searching among patients with cancer, aiming to provide evidence for the provision of medical health information.Methods:A cross-sectional survey was conducted.A total of 535 patients with cancer were recruited from a cancer hospital in Zhejiang Province from September to December 2017.Measurement tools included the demographic information questionnaire, mobile health information search behavior questionnaire, mobile health information search environment questionnaire, cancer needs questionnaires-short form and ehealth literacy scale.SPSS 26.0 was used for descriptive statistical analysis, one-way analysis of variance, Pearson correlation analysis and multiple linear regression analysis.Results:The total score of mobile health information search behavior of cancer patients was (60.84±9.60), and 66.5% of participants reported that they "never" or "occasionally" searched health information via mobile.The total score of information needs was (80.99±27.86), electronic health literacy was (26.54±7.85), mobile health information search environment was (8.00±2.86). m-Health information search behavior was positively correlated with information needs ( r=0.251, P<0.01), ehealth literacy ( r=0.538, P<0.01), and m-Health information search environment ( r=0.267, P<0.01). The stepwise regression analysis revealed that the place of residence, working status, income level, ehealth literacy, mobile health information search environment and information needs were statistically significant associated with the m-Health information searching behavior among cancer patients, which accounted for 39.3% of the total variance ( F=12.151, P<0.01). Compared with patients living in the central cities, those living in the small and medium-sized cities( β=0.092, P=0.031) had higher score in m-Health information behavior.Compared with patients working on normal schedule, those took sick days ( β=0.156, P=0.017) and working fewer hours ( β=0.138, P=0.002) had higher score m-Health information behavior.Compared with patients with monthly income of 1 000-3 000 yuan ( β=-0.194, P=0.002), those with monthly income less than 1 000 yuan had higher score in m-Health information behavior.The ehealth literacy ( β=0.425, P=0.000), mobile health information search environment ( β=0.179, P=0.000) and information needs ( β=0.091, P=0.027) were positive influencing factors of m-Health information search behavior. Conclusion:Patients with cancer did not report high m-Health information search behavior.Place of residence, working status, income level, ehealth literacy, m-Health information search environment and information demand were the influencing factors of m-Health information search behavior among patients with cancer.

Objective:To analyze the relationship between homology of Kleber pathogen pneumoniae (KP) in patients with neurocritical infections and the Genomics.Method:Five non-multidrug resistant pathogen KP were identified in 2015 to 2018, including the same cloning strain of P90 and P91, the same popular cloning system of P66,P90 and P91, and there is no homology between P20,P39 and other strains, which makes a second generation full genome sequencing. A variety of bioinformatics software were used for genomic analysis to understand the basic genomic information, chromosomal and plasmid distribution, single nucleotide polymorphism (SNP) differences and gene family clustering characteristics, meanwhile with the National Center for Biotechnology Information (NCBI) website registered 18 KP strains (2013--2016) to analyze the evolutionary affinity between strains.Results:The total genome sizes of P20, P39, P66, P90 and P91 were 5 469 543 bp, 5 480 332 bp, 5 768 352 bp, 5 745 666 bp, 5 722 999 bp. The GC contents were 57.07% (1 559 929+1 561 432)/5 469 543, 57.27% (1 566 970+1 571 424)/5 480 322, 56.96% (1 640 438+1 645 432)/5 768 352, 56.88% (1 634 285+1 634 038)/5 745 666, and 56.95% (1 627 360+1 631 781)/5 722 999, respectively. Compared with P20 reference strains, the total number of SNP in P39, P66, P90 and P91 were 32 682, 34 226, 34 292, 34 375, and the total mutation rates of gene coding region sequences were87.18% (28 491/32 682), 86.71% (29 679/34 226), 85.26% (29 238/34 292), 86.22% (29 638/34 375), respectively. Nonsynonymous mutations accounted for some advantages, and the rates were 44.57% (14 566/32 682), 44.01% (15 063/34 226), 48.01% (16 465/34 292), 48.75% (16 758/34 375), and synonymous mutations were 42.61% (13 925/32 682), 42.70% (14 616/34 226), 37.25% (12 773/34 292), 37.47% (12 880/34 375), respectively. P90 and P91 have 6 specific gene families, and P66 has 4 specific gene families. The same popular clone lines P66, P90 and P99 are on the same evolutionary branch of the phylogenetic tree. The same clone P90 and P99 are on the same subbranch. P20 and P39 without homology are on different evolutionary branches respectively. P20, P39, P66, P90 and P91 on the evolutionary branches of phylogenetic tree are closely related to the evolutionary grade of strain KP52-145 from France and strain ED23 from Taiwan, China submitted on NCBI website.Conclusion:Klebsiella pneumoniae in patients with neurocritical infection has the same clone, and the number of unique gene families among strains is the same. There are small differences in the number of unique gene families and the total number of SNPs among the same epidemic clone lines, and they are characteristic of the same evolutionary branch of the phylogenetic tree. The number of unique gene families and the total number of SNPs of non homologous strains are quite different, and they are in different evolutionary branches of the phylogenetic tree.