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

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作者
Takahito Suzuki
Hironao Hozumi
Koichi Miyashita
Masato Kono
Yuzo Suzuki
Masato Karayama
Kazuki Furuhashi
Hirotsugu Hasegawa
Tomoyuki Fujisawa
Noriyuki Enomoto
Yutaro Nakamura
Naoki Inui
Koshi Yokomura
Hidenori Nakamura
Takafumi Suda
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[1] Hamamatsu University School of Medicine,Second Division, Department of Internal Medicine
[2] Seirei Hamamatsu General Hospital,Department of Respiratory Medicine
[3] Seirei Mikatahara General Hospital,Department of Respiratory Medicine
[4] Hamamatsu University School of Medicine,Department of Clinical Pharmacology and Therapeutics
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摘要
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 PaO2/FiO2 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 PaO2/FiO2 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.
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