| 吴激波 马书荣 李先昌 肖红梅 王琴 俞真.糖尿病合并肺结核患者诱导耐药性危险因素的回归分析[J].现代生物医学进展英文版,2014,14(13):2522-2525. |
| 糖尿病合并肺结核患者诱导耐药性危险因素的回归分析 |
| Regression analysis of risk factors of induced drug resistance in patients ofType 2 Diabetes combined with tuberculosis |
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| DOI： |
| 中文关键词: 糖尿病 肺结核 耐药性 危险因素 回归分析 |
| 英文关键词: Diabetes Tuberculosis Resistance Risk factors Regression analysis |
| 基金项目: |
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| 中文摘要: |
| 目的：研究2 型糖尿病（Type 2 Diabetes，T2DM）合并肺结核（Tuberculosis，TB）患者诱导耐药性危险因素的回归分析。方法：
从2012 年3 月到2013 年3 月，于我院共计有124 例患者被确诊为肺结核，将其作为研究对象。根据患者是否合并有2 型糖尿
病，将其分成观察组（49例）及对照组（75 例）。对全部患者进行耐药性实验，分别经单因素分析及Logistic回归性分析寻找诱导耐
药性的危险因素。结果：观察组在治疗过程中断、有吸烟习惯、依从性差、病程≥ 1 年、HbAlc 值≥ 6.5%等方面所占比例显著高于对
照组，差异均有统计学意义（均P＜0.05）。由多因素分析可知，治疗过程中断、有吸烟习惯、依从性差、病程≥ 1 年、HbAlc 值≥ 6.5%
等均为糖尿病合并肺结核患者的危险因素。结论：T2DM合并TB 患者诱导耐药性的危险因素较多，临床应重点关注，并采取相应
措施，从而为临床治疗提供更为有利的条件。 |
| 英文摘要: |
| Objective:To study risk factors of induced drug resistance in patients of Type 2 Diabetes combined with tuberculosis
through regression analysis.Methods:124 patients who were diagnosed with TB from March 2012 to March 2013 in our hospital were
selected as a research object. Patient with type 2 diabetes were divided into 2 groups , those who were with tuberculosis were in
observation group (49 cases) while the rest were in control group (75 cases). All patients were subjected to the drug resistance
experiments. Single factor analysis and logistic regression analysis were used for the test of risk factors of induced drug resistance
respectively.Results:In observation group, the occurrences of treatment interruption, smoking habits, poor compliance, duration ≥ 1
-year , HbAlc values ≥ 6.5% were significantly higher ,and the differences were statistically significant (P＜0.05). According to the
multivariate analysis, the treatment interruption, smoking habits, poor compliance, duration ≥ 1 -year, HbAlc values ≥ 6.5%, were risk
factors in diabetic patients with pulmonary tuberculosis's risk factors.Conclusion:There are quite a number of risk factors for inducing
drug resistance in patients with T2DMcombined TB. More attention and measures should be taken so that more favorable conditions for
clinical treatment can be provided. |
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