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2型糖尿病患者罹患口腔假丝酵母菌感染危险因素的Logistic回归分析
  • 期刊名称:华西口腔医学杂志
  • 时间:0
  • 页码:40-44
  • 语言:中文
  • 分类:R781.5[医药卫生—口腔医学;医药卫生—临床医学]
  • 作者机构:[1]广西医科大学附属口腔医院牙周黏膜病科,广西南宁530021
  • 相关基金:国家自然科学基金资助项目(30860313); 广西科技厅留学回国基金资助项目(桂科回0639019); 广西研究生创新计划资助项目(2008105981003M226)
  • 相关项目:防御素与口腔念珠菌病相互关系研究
中文摘要:

目的通过多因素分析,筛选出与2型糖尿病患者伴发口腔假丝酵母菌感染密切相关的指标,建立预测方程,分析2型糖尿病患者口腔假丝酵母菌感染的危险因素。方法选择140例2型糖尿病患者,记录性别,年龄,病程,吸烟史,空腹血糖值及系统并发症(包括肾病、神经病变和高血压);并对患者进行口腔检查,记录口腔卫生状况、口腔黏膜情况及义齿修复情况。运用标准含漱浓缩法检测患者口腔假丝酵母菌的检出率和负载量,并采用CHROMagar显色培养基进行初步生物分型。应用Logistic回归分析方法研究2型糖尿病患者口腔假丝酵母菌感染与上述11项临床指标之间的关系。结果140例2型糖尿病患者中有69例检出口腔假丝酵母菌,检出率为49.3%,检出的假丝酵母菌菌种以白假丝酵母菌为主。以上述11项临床指标作为自变量,口腔假丝酵母菌感染发生与否作为因变量,进行Logistic回归分析,建立Logistic回归方程,方程的总判断率为82.1%。经回归分析,空腹血糖值、口腔卫生状况和黏膜干燥是2型糖尿病患者伴发口腔假丝酵母菌感染的危险因素。结论空腹血糖值、口腔卫生状况、黏膜干燥是2型糖尿病患者伴发口腔假丝酵母菌感染的危险因素;通过回归方程得出的概率值可为2型糖尿病患者口腔假丝酵母菌感染的预测及口腔护理保健提供参考。

英文摘要:

Objective Multivariate analysis was used to select the risk factors in non-insulin dependent diabetes mellitus(NIDDM) patients with oral candidosis,and to establish the forecasting equation,aimed to detect the risk of oral candidosis among NIDDM patients.Methods 140 NIDDM patients were included in this study.11 clinical parameters including gender,age,course smoking,fasting blood glucose,oral hygiene status,systemic manifestation,oral mucous membrane status,and denture were recorded respectively.Oral rinse technique was used to detect the salivary candidal carriage.The isolates were identified using CHROM agar Candida test.The Logistic multivariate regression analysis was carried our for risk factors analysis.Results Candida was found in 69 out of 140 NIDDM cases,and Candida albicans was the major species isolated.The poor glycemic control,poor oral hygiene,and dry mouth were the risk factors of oral candidosis in NIDDM patients,and the forecasting equation was established.Using substitution method,the veracity of the forecasting equation was 82.1%.Conclusion Poor glycemic control,poor oral hygiene and dry mouth were risk factors of oral candidosis among NIDDM patients.The probability obtained from the forecasting equation may offer references for predicting and preventing the oral candidosis in NIDDM patients.

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