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特发性肺纤维化急性加重的预后分类:一项多中心回顾性队列研究。

Prognostic classification in acute exacerbation of idiopathic pulmonary fibrosis: a multicentre retrospective cohort study.

机构信息

Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama Higashiku, Hamamatsu, 431-3192, Japan.

Department of Respiratory Medicine, Seirei Hamamatsu General Hospital, Hamamatsu, Japan.

出版信息

Sci Rep. 2021 Apr 27;11(1):9120. doi: 10.1038/s41598-021-88718-2.

Abstract

Acute exacerbation (AE) in idiopathic pulmonary fibrosis (IPF) is a major prognostic determinant. However, evidence for its prognostic strength is mainly based on the results of small cohort studies with statistical limitations. This retrospective study, which included 108 patients with a first episode of AE-IPF, aimed to identify prognostic factors and to develop prognostic classification models. Multivariate Cox regression analysis revealed that a lower percent-predicted forced vital capacity within 12 months before AE onset (baseline %FVC) and a lower PaO/FiO ratio at AE onset were independent mortality predictors. If the value of each predictor was lower than the cutoff determined by receiver-operating characteristic analysis, 1 point was assigned. Classification of patients into mild, moderate, and severe groups based on total score showed post-AE 90-day cumulative survival rates of 83.3%, 66.2%, and 22.2%, respectively (model 1: C-index 0.702). Moreover, a decision tree-based model was created with the recursive partitioning method using baseline %FVC and PaO/FiO ratio at AE onset from among multivariable; accordingly, patients were classified into 3 groups with post-AE 90-day cumulative survival rates of 84.1%, 64.3%, and 24.0%, respectively (model 2: C-index 0.735). These models can guide clinicians in determining therapeutic strategies and help design future studies on AE-IPF.

摘要

特发性肺纤维化(IPF)急性加重(AE)是一个主要的预后决定因素。然而,其预后强度的证据主要基于具有统计学局限性的小队列研究结果。本回顾性研究纳入了 108 例首次发生 AE-IPF 的患者,旨在确定预后因素并建立预后分类模型。多变量 Cox 回归分析显示,AE 发作前 12 个月内预计用力肺活量的百分比(基线%FVC)较低和 AE 发作时 PaO/FiO 比值较低是独立的死亡预测因素。如果每个预测因素的值低于通过接收者操作特征分析确定的截定点,则赋值 1 分。基于总分将患者分为轻度、中度和重度组,AE 后 90 天的累积生存率分别为 83.3%、66.2%和 22.2%(模型 1:C 指数 0.702)。此外,还使用基线%FVC 和 AE 发作时的 PaO/FiO 比值通过递归分区方法从多变量中创建了一个基于决策树的模型;因此,患者被分为 3 组,AE 后 90 天的累积生存率分别为 84.1%、64.3%和 24.0%(模型 2:C 指数 0.735)。这些模型可以指导临床医生确定治疗策略,并有助于设计未来的 AE-IPF 研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4020/8079397/6d7464c0c7ea/41598_2021_88718_Fig1_HTML.jpg

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