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Baron分级对溃疡性结肠炎黏膜愈合的预测作用
引用本文:李霄,郝洪升. Baron分级对溃疡性结肠炎黏膜愈合的预测作用[J]. 山东大学学报(医学版), 2013, 51(12): 67-69
作者姓名:李霄  郝洪升
作者单位:山东大学齐鲁医院消化内科, 济南 250012
摘    要:目的 探讨溃疡性结肠炎(UC)患者Baron分级对其肠道黏膜愈合的预测作用。方法 选取在山东大学齐鲁医院消化科就诊的UC患者176例,分别统计患者性别、年龄等情况及内镜下病变活动范围和Baron分级。在经过1个月的美沙拉嗪治疗后,观察患者肠道黏膜的愈合情况。分析患者不同亚组中Baron分级的分布情况,并用Logistics回归的方法检验Baron分级与治疗后黏膜愈合的相关性。结果 不同性别、年龄的患者亚组中,Baron分级无显著差异(P>0.05),并且Baron分级与病变范围无统计学相关性(P>0.05)。而Baron分级为1、2、3级的患者其黏膜愈合率分别为66.7%、38.5%、0%。经Logistics回归分析证实,Baron分级与黏膜愈合具有显著相关性(P<0.001, OR=12.445,95%CI:4.466~34.680)。结论 UC患者Baron分级对其治疗后黏膜的愈合情况有预测作用。

关 键 词:溃疡性结肠炎  病变范围  Baron分级  黏膜愈合  Logistics回归,
收稿时间:2013-05-02

Baron index predicts mucosal healing of ulcerative colitis
LI Xiao,HAO Hong-sheng. Baron index predicts mucosal healing of ulcerative colitis[J]. Journal of Shandong University:Health Sciences, 2013, 51(12): 67-69
Authors:LI Xiao  HAO Hong-sheng
Affiliation:Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan 250012, China
Abstract:Objective To discuss the predictive effect of Baron index on mucosal healing of ulcerative colitis. Methods The clinical data of 176 cases of ulcerative colitis treated in Qilu Hospital of Shandong University were analyzed, including gender, age, endoscopic lesions and Baron index. After 1-month treatment with mesalazine, the mucosal healing conditions were evaluated. The relationship between Baron index and mucosal healing was assessed with logistics regression. Results No significant difference of Baron index was observed in subgroups of different ages and genders (P>0.05). And no statistical correlation was noted between Baron index and severity of lesions (P>0.05). The mucosal healing rates of patients with Baron index 1, 2 and 3 were 66.7%, 38.5% and 0% respectively. The correlation between Baron index and mucosal healing was proved with logistics regression (P<0.001, OR=12.445, 95%CI:4.466~34.680). Conclusion Baron index can predict mucosal healing of ulcerative colitis.
Keywords:Ulcerative colitis   Severity of lesions   Baron index   Mucosal healing   Logistics regression,
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