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本文引用的文献

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Impact of smoking, alcohol consumption, and NSAID use on risk for and phenotypes of eosinophilic esophagitis.吸烟、饮酒和使用非甾体抗炎药对嗜酸性食管炎风险及表型的影响。
Dis Esophagus. 2018 Jan 1;31(1):1-7. doi: 10.1093/dote/dox111.
2
Optimal Histologic Cutpoints for Treatment Response in Patients With Eosinophilic Esophagitis: Analysis of Data From a Prospective Cohort Study.优化嗜酸粒细胞性食管炎患者治疗反应的组织学切点:一项前瞻性队列研究数据分析。
Clin Gastroenterol Hepatol. 2018 Feb;16(2):226-233.e2. doi: 10.1016/j.cgh.2017.09.046. Epub 2017 Oct 4.
3
Effects of allergen sensitization on response to therapy in children with eosinophilic esophagitis.变应原致敏对嗜酸性粒细胞性食管炎患儿治疗反应的影响。
Ann Allergy Asthma Immunol. 2017 Aug;119(2):177-183. doi: 10.1016/j.anai.2017.06.006. Epub 2017 Jul 1.
4
Six-Food Elimination Diet and Topical Steroids are Effective for Eosinophilic Esophagitis: A Meta-Regression.六食物排除饮食和局部用类固醇对嗜酸性食管炎有效:一项Meta回归分析
Dig Dis Sci. 2017 Sep;62(9):2408-2420. doi: 10.1007/s10620-017-4642-7. Epub 2017 Jun 12.
5
Management of refractory eosinophilic oesophagitis.难治性嗜酸性粒细胞性食管炎的管理
Nat Rev Gastroenterol Hepatol. 2017 Aug;14(8):479-490. doi: 10.1038/nrgastro.2017.56. Epub 2017 May 24.
6
A Gene Expression Panel is Accurate for Diagnosis and Monitoring Treatment of Eosinophilic Esophagitis in Adults.基因表达谱对成人嗜酸性粒细胞性食管炎的诊断和治疗监测具有准确性。
Clin Transl Gastroenterol. 2017 Feb 9;8(2):e74. doi: 10.1038/ctg.2017.2.
7
Determination of esophageal eosinophil counts and other histologic features of eosinophilic esophagitis by pathology trainees is highly accurate.病理学实习生对嗜酸性食管炎的食管嗜酸性粒细胞计数及其他组织学特征的判定准确率很高。
Hum Pathol. 2017 Apr;62:50-55. doi: 10.1016/j.humpath.2016.12.017. Epub 2016 Dec 30.
8
Evaluation of Histologic Cutpoints for Treatment Response in Eosinophilic Esophagitis.嗜酸性食管炎治疗反应的组织学切点评估
J Gastroenterol Hepatol Res. 2015 Oct 1;4(10):1780-1787. doi: 10.17554/j.issn.2224-3992.2015.04.562. Epub 2015 Oct 21.
9
Comparisons of Fluticasone to Budesonide in the Treatment of Eosinophilic Esophagitis.氟替卡松与布地奈德治疗嗜酸性粒细胞性食管炎的比较。
Dig Dis Sci. 2016 Jul;61(7):1996-2001. doi: 10.1007/s10620-016-4110-9. Epub 2016 Apr 19.
10
Proton pump inhibitor-responsive oesophageal eosinophilia: an entity challenging current diagnostic criteria for eosinophilic oesophagitis.质子泵抑制剂反应性食管嗜酸性粒细胞增多症:一种对当前嗜酸性粒细胞性食管炎诊断标准构成挑战的病症。
Gut. 2016 Mar;65(3):524-31. doi: 10.1136/gutjnl-2015-310991. Epub 2015 Dec 18.

与嗜酸性粒细胞性食管炎患者局部类固醇治疗组织学反应相关的临床和分子因素。

Clinical and Molecular Factors Associated With Histologic Response to Topical Steroid Treatment in Patients With Eosinophilic Esophagitis.

机构信息

Center for Esophageal Diseases and Swallowing, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina; Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina.

Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, North Carolina.

出版信息

Clin Gastroenterol Hepatol. 2019 May;17(6):1081-1088.e2. doi: 10.1016/j.cgh.2018.09.005. Epub 2018 Sep 10.

DOI:10.1016/j.cgh.2018.09.005
PMID:30213583
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6409124/
Abstract

BACKGROUND & AIMS: Few factors have been identified that can be used to predict response of patients with eosinophilic esophagitis (EoE) to topical steroid treatment. We aimed to determine whether baseline clinical, endoscopic, histologic, and molecular features of EoE can be used to predict histologic response.

METHODS

We collected data from 97 patients with EoE, from 2009 through 2015, treated with a topical steroid for 8 weeks; 59 patients had a histologic response to treatment. Baseline clinicopathologic features and gene expression patterns were compared between patients with a histologic response to treatment (<15 eos/hpf) and non-responders (≥15 eos/hpf). We performed sensitivity analyses for alternative histologic response definitions. Multivariate logistic regression was performed to identify predictive factors associated with response to therapy, which were assessed with area under the receiver operator characteristic (AUROC) curves.

RESULTS

Baseline dilation was the only independent predictor of non-response (odds ratio [OR], 0.30; 95% CI, 0.10-0.89). When an alternate response (<1 eos/hpf) and non-response (<50% decrease in baseline eos/hpf) definition was used, independent predictors of response status were age (OR, 1.08; 95% CI, 1.02-1.14), food allergies (OR, 12.95; 95% CI, 2.20-76.15), baseline dilation (OR, 0.17; 95% CI, 0.03-0.88), edema or decreased vascularity (OR, 0.20; 95% CI, 0.04-1.03), and hiatal hernia (OR, 0.07; 95% CI, 0.01-0.66). Using these 5 factors, we developed a predictive model that discriminated complete responders from non-responders with an AUROC of 0.88. Baseline gene expression patterns were not associated with treatment response and did not change with different histologic response thresholds.

CONCLUSIONS

In an analysis of 97 patients with EoE, we found dilation to be the only baseline factor associated with non-response to steroid treatment (<15 eos/hpf). However, a model comprising 5 clinical, endoscopic, and histologic factors identified patients with a complete response (<1 eos/hpf). A baseline gene expression panel was not predictive of treatment response at any threshold.

摘要

背景与目的

目前仅有少数因素可用于预测嗜酸细胞性食管炎(EoE)患者对局部皮质类固醇治疗的反应。本研究旨在确定 EoE 的基线临床、内镜、组织学和分子特征是否可用于预测组织学反应。

方法

我们收集了 2009 年至 2015 年间 97 例接受 8 周局部皮质类固醇治疗的 EoE 患者的数据,其中 59 例患者的治疗组织学反应为阳性。对比治疗组织学反应(<15 个 eos/hpf)和无反应(≥15 eos/hpf)患者的基线临床病理特征和基因表达模式。我们对替代组织学反应定义进行了敏感性分析。采用多变量逻辑回归分析与治疗反应相关的预测因素,并通过受试者工作特征曲线(AUROC)评估其曲线下面积(AUROC)。

结果

基线扩张是唯一与无反应相关的独立预测因素(比值比[OR],0.30;95%CI,0.10-0.89)。当采用替代反应(<1 eos/hpf)和无反应(<50%基线 eos/hpf 减少)定义时,与反应状态相关的独立预测因素为年龄(OR,1.08;95%CI,1.02-1.14)、食物过敏(OR,12.95;95%CI,2.20-76.15)、基线扩张(OR,0.17;95%CI,0.03-0.88)、水肿或血管减少(OR,0.20;95%CI,0.04-1.03)和食管裂孔疝(OR,0.07;95%CI,0.01-0.66)。利用这 5 个因素,我们建立了一个预测模型,该模型可以区分完全缓解者和无缓解者,其 AUROC 为 0.88。基线基因表达模式与治疗反应无关,且不随不同的组织学反应阈值而变化。

结论

在对 97 例 EoE 患者的分析中,我们发现扩张是唯一与皮质类固醇治疗无反应(<15 eos/hpf)相关的基线因素。然而,由 5 个临床、内镜和组织学因素组成的模型可以识别完全缓解者(<1 eos/hpf)。在任何阈值下,基线基因表达谱均不能预测治疗反应。