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Objective:To explore the application and nursing of chest radiograph combined with body surface measurement in measuring the length of PICC intubation in tumor patients.Methods:Totally 60 cases of malignant tumor patients in our hospital from March 2019 to January 2020 were selected and randomly divided into two groups by the method of random number table. 30 cases in the control group were given PICC catheterization by conventional body surface measurement; 30 cases in the observation group were given PICC catheterization combined with chest imaging data. After the intervention, the precise position of PICC catheter, indwelling time, complications, nursing satisfaction rate and quality of life were compared between the two groups.Results:After the intervention, the accurate placement rate, adjustment ratio and indwelling time of the observation group were 100.00% (30/30), 0, (146.35±21.74) d, which were significantly better than 83.33% (25/30), 16.67% (5/30) and (118.44±17.36) d of the control group, the difference was statistically significant ( tvalue was 5.495, χ 2values were 4.286, 5.455, all P<0.05); after intervention the complication rate, nursing satisfaction rate, and quality of life score in the observation group were 3.33% (1/30), 99.67% (29/30), (91.35±8.58) points, which were significantly better than the control group's 26.67% (8/30), 80.00% (24/30), (83.57±7.36) points, the difference was statistically significant ( χ 2values were 6.405, 4.043, tvalue was 3.775, P<0.05 or 0.01). Conclusion:Chest imaging data combined with body surface measurement methods combined with comprehensive care can significantly improve the accuracy of PICC catheter placement in cancer patients, reduce catheter adjustment and the deviation of actual length from the ideal length, extend the indwelling time, reduce complications, and improve patients Care satisfaction rate and quality of life.
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Objective To explore the relationship between the fibroblast growth factor 2 (FGFR2) gene polymorphism (rs 2981582 ,rs 1219648 ,rs 2420946) and the breast cancer risk in Tibetan population ,Qinghai province .Methods This is a case con‐trol study .Peripheral blood samples from 210 breast cancer patients and 230 healthy women in Qinghai area were collected .DNA samples were extracted from peripheral blood cells .FGFR2 gene polymorphism (rs 2981582 ,rs 1219648 ,rs 2420946) were typed by Taqman‐MGB probe based on PCR and DNA sequencing ,then analyzed its correlation with breast cancer in Tibetan population , Qinghai province .Results The genotype frequencies of rs 2981582 CC ,CT and TT were 40 .48% ,39 .05% and 20 .47% among the breast cancer patients while 36 .09% ,48 .69% and 15 .22% among the controls .The genotype frequencies of rs 1219648 GG ,AG and AA were 24 .76% ,26 .19 % and 49 .05% among the patients while 23 .91% ,47 .39% and 28 .70% among the controls .The genotype frequencies of rs 2420946 CC ,CT and TT were 29 .05% ,45 .24% and 25 .71% among the patients while 30 .87% , 51 .74% and 17 .39% among the controls .The genotype frequencies of all genetic loci had no significant difference between rs 2981582 and rs 2420946 (P>0 .05) .But the genotype frequencies of rs 1219648 AA have statistical sense (P< 0 .05) ,compared with GG ,the incidence of breast cancer was remarkably increased with AA [OR=1 .65 ,95% CI= (1 .01 ,2 .69)] .Conclusion This study shows that FGFR2 rs1219648 AA is related to breast cancer risk among Tibetan population .
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Purpose To detect the expression of Snai2 mRNA in gastric carcinoma and normal gastric mucosa and analyze its significance.Methods Total RNA was extracted with TRIzol from 30 cases of gastric carcinoma and mRNA was transcribed reversely into cDNA.The expression of Snai2 mRNA was examined by real-time PCR; then mRNA probes were prepared, the expression of Snai2 mRNA was detected by in situ hybridization on a tissue array,including normal gastric mucosa (20 cases) and gastric carcinoma (100 cases).Results Real-time PCR data showed they had different expression in different degrees of differentiation of the cancer: the poorer differentiation, the more expression (P0.05).Conclusions Snai2 could be a biomarker of malignant degree and disease progression,and used as a useful tool for evaluation of prognosis.