摘要
目的观察湿润烧伤膏治疗放射性口腔黏膜炎的临床疗效。方法选取2019年1月至2020年7月北京市宣武中医医院收治的30例放射性口腔黏膜炎患者作为研究对象,并按照随机数表法将其随机分为观察组(15例)和对照组(15例),观察组患者采用湿润烧伤膏含服治疗,对照组患者采用复方漱口液含漱治疗,对比两组患者临床疗效及痊愈时间。结果治疗2周时,观察组患者中痊愈9例、好转6例,治愈率为60.0%,总有效率为100%;对照组患者中痊愈4例、好转8例、无效3例,治愈率为26.7%,总有效率为80.0%。两组患者临床疗效对比,Z=-2.134,P=0.056,P>0.05,差异无统计学意义;治愈率及总有效率对比采用卡方检验,χ^(2)=3.394、3.333,P=0.065、0.068,P均>0.05,差异无统计学意义。观察组患者痊愈时间为(10.3±2.1)d,明显短于对照组患者的痊愈时间(14.9±2.4)d(t=5.587,P<0.001)。结论湿润烧伤膏治疗放射性口腔黏膜炎,可有效促进口腔黏膜修复,缩短治疗时间。
Objective To study the efficacy of Moist Exposed Burn Ointment(MEBO)in the treatment of radiationinduced oral mucositis(RIOM).Methods 30 patients with RIOM admitted to Beijing Xuanwu TCM Hospital between January 2019 and July 2020 were enrolled and randomized,using random number table,into study group(n=15)and control group(n=15).Patients in study group were treated with MEBO by holding it in mouth and swallow,whereas patients in control group were given a compound mouthwash for gargling.Efficacy and healing time were compared.Results After 2 weeks of treatment,9 patients in study group were healed,6 showed improvement,and healing rate was 60.0%with a total efficacy rate of 100%.In control group,4 patients were healed,8 showed improvement,3 showed no effect,and the heali ng rate was 26.7%with a total efficacy rate of 80.0%.Comparison of the clinical efficacy between two groups showed no statistically significant difference(Z=-2.134,P=0.056,P>0.05).Chi-square test was used to compare healing rates and total efficacy rates between two groups,and the results also showed no statistically significant difference(χ^(2)=3.394,3.333,P=0.065,0.068,both P>0.05).Healing time in study group was 10.3±2.1 days,much shorter than 14.9±2.4 days in control group(t=5.587,P<0.001).Conclusion Treating RIOM with MEBO could effectively promote the repair of oral mucosa and shorten treatment time.
作者
闵振兴
张勇
Min Zhenxing;Zhang Yong(Department of Surgery,Beijing Xuanwu TCM Hospital,Beijing 100050,China)
出处
《中国烧伤创疡杂志》
2021年第5期321-323,330,共4页
The Chinese Journal of Burns Wounds & Surface Ulcers