Prediction of drug resistance trend of Helicobacter pylori in southeast coastal area of Zhejiang province
10.3760/cma.j.issn.1007-5232.2013.06.009
- VernacularTitle:浙江东南沿海地区幽门螺杆菌的耐药趋势预测
- Author:
Zhihua ZHANG
;
Qianan CHEN
;
Lihong Lü
;
Aizhu CHEN
;
Zaikao CHEN
;
Qiuling CHEN
;
Lang LIN
- Publication Type:Journal Article
- Keywords:
Helicobacter pylori;
Antibiotics;
Curve fitting;
Drug resistance rate
- From:
Chinese Journal of Digestive Endoscopy
2013;(6):328-331
- CountryChina
- Language:Chinese
-
Abstract:
Objective Study the drug resistance trend of Helicobacter pylori (H.pylori) based on polynomial regression equation to provide reference for clinical medication.Methods A total of 3496 clinical isolates of H.pylori collected from 2007 to 2012 were used for drug sensitivity test of six common-used drugs to evaluate the resistance rate of each drug.Correlation analysis were performed on each of the two drugs.Constructed log curve,exponential curve,inverted exponential curve,polynomial curve and sigmoid curve for each kind of drug resistance rate and did regression analysis for each drug resistance rate.Results According to the results of drug sensitivity test from 2007 to 2012,amoxicillin,furazolidone and gentamicin had strong antibacterial activity to H.pylori and got a lower drug resistance rate.The resistance rate of levofloxacin and clarithromycin were increasing year by year and the resistance of metronidazole had been maintained at a high level.The predictive drug resistance rate of clarithromycin,metronidazole,levofloxacin,amoxycillin,gentamicin and furaxone in 2013 were 21.49％,95.47％,20.70％,0.10％,0.09％ and 0.10％,respectively.The results were consistent with those of H.pylori infection rate in Southeast China performed by Jianzhong Zhang.Conclusion A certain quantitative relationship exists between the time and the helicobacter resistance rate.The established model can be used to predict the future trend of H.pylori resistance rate.It can be used to guide clinical rotation,the restriction of the use of antibiotics,and to reduce the generation of antibiotic resistant bacteria.
