1.Application of WeChat public platform on continuous nursing for patients with high risk of pressure ulcers
Xiaoli WANG ; Yunping WANG ; Wenfei ZOU ; Chunguang XIA ; Ting LIU
Chinese Journal of Practical Nursing 2017;33(12):937-941
Objective To explore the effect of continuous nursing based on WeChat public platform on the patients with high risk of pressure ulcers. Methods Selecting 165 pairs of high-risk patients and their caregivers from the emergency department of pressure ulcers in the General Hospital of Chinese People′s Armed Police Forces, and they were divided into control group and experimental group by paired random method. There were 83 pairs in control group, and 82 pairs in experimental group. The control group gave oral education according to the traditional model, and adopted the way of telephone follow-up for continuous nursing. While the experimental group let patients and their family members follow the Wechat public account that specially developed on Wechat platform and get continuous nursing in new models to come true networking health education and communicate with patients and their family members by multi-dimensional nurse. After 3 months intervening, compared patients′quality of life, the care behavior of caregivers and acquisition of knowledge of pressure scores, the incidence of pressure ulcers, degree of satisfaction of high-risk patients and caregivers between the two groups. Results The psychological function score, social function score and quality of life score was respectively ( 67.61 ± 1.67), (58.60 ± 1.52), (50.41 ± 2.70) points in experimental group, and (63.21 ± 1.30), (53.23 ± 1.92), (45.83 ± 2.59) points in control group, the comparative difference of the two groups was statistically significant( t=-4.638,-4.930,-2.749, P<0.05). There was no significant difference in the material life and body function score between two groups(P>0.05). The care behavior of caregivers score and pressure sores knowledge score was respectively (50.84 ± 1.92), (27.83 ± 1.48) points in experimental group, and (46.43 ± 2.40), (19.28 ± 1.31) points in control group, the comparative difference of the two groups was statistically significant (t=-3.192,-9.738, P<0.05 or 0.01). The incidence of pressure ulcers was 15.9%(13/82) in experimental group, significantly lower than that in control group (50.6%, 42/83), two groups was statistically significant (χ2=22.413, P<0.01). The satisfying degree and scores of patients or caregivers for follow-up form, nursing service attitude, follow-up content and the total score was respectively (24.83 ± 3.11), (24.10 ± 2.55), (25.03 ± 2.12), (76.23 ± 2.17) points in experimental group, and (18.34 ± 1.41), (17.41 ± 1.34), (19.85 ± 1.92), (63.25 ± 3.03) points in control group, the comparative difference between two groups had statistical significance (t=-7.797--4.061, all P<0.01). Conclusions Utilizing Wechat public platform continuity of care for patients at high risk of pressure ulcers can improve the patients quality of life, reduce the incidence of pressure ulcers, improve the efficient communication of nurses and patients, and enhance the degree of satisfaction of the patients. This method is convenient, shortcut, economic, practical and worthy for clinical use and promotion .
2.Allele-31 C>T regulates binding activity to IL-1βgene promoter of nuclear transcription factor C/EBPβand PU.1 induced by Mycobacterium tuberculosis infection
Guoliang ZHANG ; Rongrong ZOU ; Lingling WANG ; Wenfei WANG ; Mingxia ZHANG ; Guilin YANG ; Xinchun CHEN
Chinese Journal of Clinical Infectious Diseases 2016;9(2):180-185
Objective To investigate the effects of allele-31 C>T on the binding activity to IL-1βpromoter of the nuclear transcription factor C/EBPβand PU.1 induced by Mycobacterium tuberculosis infection.Methods The electrophoretic mobility shift assay ( EMSA) was performed to explore whether the nuclear transcription factor C/EBPβand PU.1 could bind to -31 region in IL-1βpromoter.The C/EBPβ-and PU.1-expressing vectors were constructed and co-transfected into HeLa cells with IL-1βpromoter luciferase vector.The expression of C/EBPβand PU.1 was confirmed using Western blotting assay, and the promoter activity was determined using Dual-Glo Luciferase system under various transfection conditions. Lentivirus-mediated RNA interference was used to explore the effects of C/EBPβand PU.1 on IL-1βexpression.GraphPad Prism 5.0 was used for data analysis.Results EMSA results showed that both C/EBPβand PU.1 could bind to -31 region in IL-1βpromoter.Both C/EBPβand PU.1 induced by Mycobacterium tuberculosis infection could increase IL-1βpromoter activity, especially for the -31 T allele (t=22.33 and 7.98,P<0.01), and there was a synergy on the promoter activity between C/EBPβand PU.1.The promoter activity decreased significantly when C/EBPβand/or PU.1 were silenced by lentivirus-mediated RNA interference (q=5.79, 6.23 and 11.66,P<0.01).Conclusion The allele-31 C>T can induce IL-1βpromoter activity and gene transcription through regulation of binding activity to C/EBPβand PU.1 induced by Mycobacterium tuberculosis infection.
3.A nomogram based on dual-energy CT enhanced imaging for prediction of postoperative recurrence of early-stage glottic carcinoma
Huanlei ZHANG ; Wenfei LI ; Xiaodong JI ; Qing LI ; Ying ZOU ; Fengyue TIAN ; Shuang XIA
Chinese Journal of Radiology 2022;56(2):142-148
Objective:To explore the value of nomogram based on dual-energy CT (DECT) enhanced imaging in predicting postoperative recurrence-free survival (RFS) of early-stage glottic carcinoma (EGC).Methods:The clinicopathological and DECT data of patients with EGC confirmed by pathology in the Tianjin First Central Hospital from January 2015 to July 2018 were analyzed retrospectively. A total of 178 patients were enrolled, including 162 males and 16 females, with the age from 44 to 86 (62±9) years old. According to the follow-up data, the patients were divided into recurrent group ( n=32) and non-recurrent group ( n=146). The differences of clinicopathological data and DECT iodine maps parameters between the two groups were analyzed using χ 2 test, independent-sample t test and Mann-Whitney U test. The survival related cut-off values of the quantitative data between the two groups were selected by X-tile software. The survival curve was drawn using Kaplan-Meier method, and the difference of survival rate was tested with log-rank analysis. The variables with statistical differences were included in the Cox proportional hazard model for multivariate analysis to select the independent predictors of postoperative RFS. Based on the multivariate Cox analysis, the nomogram was drawn to predict the RFS at 1, 2 and 5 years. The prediction efficiency and clinical benefit of the nomogram were evaluated by C-index, calibration curve and decision curve analysis. Results:The median follow-up time was 24.3 months, ranging from 2 to 63 months. There was a significant difference in T-stage between recurrent and non-recurrent groups (χ2=9.21, P=0.002). The prognostic cutoff values obtained by X-tile software were arterial phase standardized iodine concentration (SIC AP)=0.28 and venous phase standardized iodine concentration (SIC VP)=0.87. The results of log-rank test showed that there were significant differences in RFS among patients with different T-stage, SIC AP and SIC VP (χ2=10.74, 15.50, 17.97, P=0.001,<0.001,<0.001). T-stage, SIC AP and SIC VP were identified as independent predictors of postoperative RFS (hazard ratio=2.271, 3.552, 3.266, P=0.026,<0.001, 0.003). The C-index of the nomogram combined with DECT parameter and T-stage was 0.785, which was higher than that of T-stage alone (0.622). The calibration curve showed that there was good consistency between the actual and predicted probability of the sample. The decision curve analysis showed that the clinical benefit of the nomogram was higher than that of the T-stage alone. Conclusion:The nomogram based on preoperative clinical factors (T-stage) and DECT iodine map factors (SIC AP and SIC vp) can predict the postoperative RFS of patients with EGC.
4.Google Flu Trends--the initial application of big data in public health.
Xiaohui ZOU ; Wenfei ZHU ; Lei YANG ; Yuelong SHU ; Email: YSHU@CNIC.ORG.CN.
Chinese Journal of Preventive Medicine 2015;49(6):581-584
Google Flu Trends (GFT) was the first application of big data in the public health field. GFT was open online in 2009 and attracted worldwide attention immediately. However, GFT failed catching the 2009 pandemic H1N1 and kept overestimating the intensity of influenza-like illness in the 2012-2014 season in the United States. GFT model has been updated for three times since 2009, making its prediction bias controlled. Here, we summarized the mechanism GFT worked, the strategy GFT used to update, and its influence on public health.
Disease Outbreaks
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Humans
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Influenza A Virus, H1N1 Subtype
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Influenza, Human
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Internet
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Population Surveillance
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Public Health
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Statistics as Topic
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United States