文章摘要
陈良玉,林霏申,郭晶,等.初治肺结核 550例的中断治疗率及其相关因素分析[J].安徽医药,2025,29(6):1213-1217.
初治肺结核 550例的中断治疗率及其相关因素分析
The rate of treatment interruption and related factors in 550 cases of newly treated pulmonary tuberculosis
  
DOI:10.3969/j.issn.1009-6469.2025.06.030
中文关键词: 结核,肺  初治结核病人  中止治疗的病人  影响因素  治疗依从性  疾病认知
英文关键词: Tuberculosis, pulmonary  Initial case  Patient dropouts  Influencing factor  Treatment compliance  Disease cogni-tion
基金项目:南通市市级科技计划(分年度)拨款项目( MS12018010)
作者单位E-mail
陈良玉 南京市第二医院结核科江苏南京210037  
林霏申 南京市第二医院结核科江苏南京210037  
郭晶 南京市第二医院结核科江苏南京210037  
曹志云 南京市第二医院结核科江苏南京210037  
陈菲 南京市第二医院结核科江苏南京210037  
徐元龙 南京市第二医院结核科江苏南京210037  
费贤树 南京市第二医院结核科江苏南京210037 fsyy0184@njucm.edu.cn 
朱美君 南通市第一人民医院儿科江苏南通 226001  
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中文摘要:
      目的调查初治肺结核病人中断治疗情况,并分析其中断治疗的影响因素。方法研究对象为 2019年 4月至 2023年 3月在南京市第二医院就诊并在结核病防治所登记管理的 550例初治肺结核病人,统计中断治疗情况,多因素 logistic回归分析分析初治肺结核病人中断治疗的影响因素。结果 550例初治肺结核中断治疗病人占比 10.72%(59/550),按是否中断治疗分为中断治疗组、规则治疗组,两组性别、年龄、流动人口比例、文化水平、经济状况、初始病灶情况、依从性评分、疾病核心知识得分比较差异有统计学意义( P<0.05); logistic回归分析显示性别、年龄、流动人口、经济状况、初始病灶情况、依从性评分、疾病核心知识得分均是初治肺结核病人中断治疗的独立影响因素( P<0.05)。结论初治肺结核病人中断治疗率不容忽视,临床应重视男性、高龄、流动人口、低收入、初始病灶情况、依从性评分、疾病核心知识得分等对中断治疗的影响,多渠道降低中断治疗风险。
英文摘要:
      Objective To investigate treatment interruption in newly treated pulmonary tuberculosis patients and to analyze its influ-encing factors. Methods The study subjects were 550 newly treated pulmonary tuberculosis patients who were treated at Nanjing Sec-ond Hospital and registered in Tuberculosis Control Center from April 2019 to March 2023. The situation of treatment interruption wasstatistically analyzed, and multivariate logistic regression was used to screen the influencing factors of treatment interruption in newlytreated pulmonary tuberculosis patients. Results Among the 550 patients, patients with treatment interruption accounted for 10.72%(59/550). According to whether the treatment was interrupted, the patients were assigned into treatment interruption group and regulartreatment group. There were statistically significant differences between the two groups in terms of gender, age, proportion of migrantpopulation, education level, economic status, condition of initial lesion, compliance score and core knowledge score of disease (P< 0.05). Logistic regression analysis results found that gender, age, migrant population, economic status, condition of initial lesion, com-pliance score, and core knowledge score of disease were independent influencing factors of treatment interruption (P<0.05). Conclu. sions The rate of treatment interruption in newly treated pulmonary tuberculosis patients should not be neglected. Clinically, impor-tance should be attached to the influence of males, advanced age, migrant population, low income, condition of initial lesion, compli-ance score and core knowledge score of disease on treatment interruption, so as to reduce the risk of treatment interruption through mul-tiple channels.
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