将 Envisia 基因组分类器与冷冻活组织切片检查相结合,用于未确诊的间质性肺病患者

Fayez Kheir MD , Ramsy Abdelghani MD , Diana Espinoza MD , Regina Villalobos MD , David Becnel MD , Rachel Herr MD , Alejandro Aragaki MD , J.P. Uribe Becerra MD , Justin M. Oldham MD , Joseph Lasky MD
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引用次数: 0

摘要

研究背景Envisia基因组分类器(EGC)是一种经过临床验证的分子诊断测试,可识别寻常间质性肺炎(UIP),提高间质性肺病(ILD)患者特发性肺纤维化的诊断可信度。研究问题EGC和肺冷冻活检与纤维化ILD患者的临床管理决策有何关联?我们评估了 EGC 和冷冻活检后管理策略的变化。我们使用美国胸科学会关于进展性肺纤维化的定义(方法 1)或任何原因死亡、肺移植或 FVC 相对下降≥10% 的合并终点(方法 2)评估了基因组 UIP 分类与疾病进展之间的关联。冷冻活检和 EGC 检测结果改变了队列中 59.5% 的 gcUIP+ 患者的治疗策略,在冷冻活检结果不确定的患者中,有 21.4% 为 gcUIP+,导致另外 16.7% 的患者改变了治疗策略。未接受治疗的随访率从 64.3% 降至 11.9%(P < .001)。免疫抑制剂的使用率从23.8%降至9.5%(P = .06),抗纤维化药物的使用率从11.9%增至71.4%(P < .001)。疾病进展的 Kaplan-Meier 曲线在多变量分析中未达到统计学意义(方法 1:危险比,1.4;95% CI,0.4-4.2;P = .55;方法 2:危险比,1.3;95% CI,0.8-2.1;P = .29)。在分析 EGC 阳性 UIP 时,与 EGC 阴性 UIP 患者相比,未使用抗纤维化药物的患者病情出现进展(危险比为 1.8;95% CI 为 0.99-3.4;P = .053)。在未接受抗纤维化药物治疗的患者中,EGC可作为疾病进展的预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Employment of the Envisia Genomic Classifier in Conjunction With Cryobiopsy in Patients With Undiagnosed Interstitial Lung Disease

Background

The Envisia Genomic Classifier (EGC) is a clinically validated molecular diagnostic test identifying usual interstitial pneumonia (UIP), increasing the diagnostic confidence for idiopathic pulmonary fibrosis in patients with interstitial lung disease (ILD).

Research Question

What is the association of the EGC and lung cryobiopsy on clinical management decisions in patients with fibrotic ILD?

Study Design and Methods

Retrospective analysis of patients at multimedical centers. We assessed the change in management strategy after EGC and cryobiopsy. We evaluated the association between genomic UIP classification and disease progression using the American Thoracic Society definition of progressive pulmonary fibrosis (method 1), or combined end point of death from any cause, lung transplant, or ≥ 10% relative decline in FVC (method 2).

Results

In patients that were EGC positive for UIP (gcUIP+), 78.6% were diagnosed with idiopathic pulmonary fibrosis. Cryobiopsy and EGC test results changed management strategy for 59.5% of patients in the cohort that were gcUIP+, and 21.4% of patients that had indeterminate cryobiopsy interpretations were gcUIP+, leading to a change in treatment strategy of an additional 16.7%. There was a decrease in follow-up without treatment from 64.3% to 11.9% (P < .001). Utilization of immunosuppressive drugs decreased from 23.8% to 9.5% (P = .06), and there was an increase in treatment with antifibrotics drugs from 11.9% to 71.4% (P < .001). A Kaplan-Meier curve of disease progression did not reach statistical significance on multivariable analysis (method 1: hazard ratio, 1.4; 95% CI, 0.4-4.2; P = .55; method 2: hazard ratio, 1.3; 95% CI, 0.8-2.1; P = .29). In analysis of EGC positivity for UIP, patients who were not prescribed antifibrotics showed disease progression compared with patients who were EGC negative for UIP (hazard ratio, 1.8; 95% CI, 0.99-3.4; P = .053)

Interpretation

This study suggests that combined EGC and cryobiopsy are associated with change in therapeutic strategy in patients with undiagnosed ILD. The EGC might serve as a predictor for disease progression in patients not treated with antifibrotics.

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