血清表面活性蛋白(SP)-A、SP- d和KL-6的变化预测抗纤维化药物对IPF的治疗效果

Takumi Yoshikawa, M. Otsuka, Kimiyuki Ikeda, Yuki Mori, Yasuaki Umeda, Hirotaka Nishikiori, Satsuki Miyajima, Mamoru Takahashi, K. Kuronuma, H. Chiba, Hiroki Takahashi
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摘要

背景:血清表面活性蛋白(SP)-A、SP- d和KL-6是特发性肺纤维化(IPF)患者的预后生物标志物,但其与抗纤维化药物治疗效果的关系尚未研究。目的:阐明血清SP-A、SP-D和KL-6是否为IPF患者吡非尼酮和尼达尼布治疗的预测指标。方法:回顾性调查2014年1月至2018年6月在我院开始使用吡非尼酮或尼达尼布的IPF患者。观察两组临床指标及血清SP-A、SP-D、KL-6水平的变化。从基线到6个月,用力肺活量(FVC)下降> 10%或肺一氧化碳弥散量(DLco)下降> 15%的患者归为恶化组,另一组归为有效组。结果:纳入49例患者(吡非尼酮;23日,nintedanib;26)。有效组32例,恶化组17例。与恶化组相比,有效组血清SP-A、SP-D和KL-6从基线到3和/或6个月的变化显著降低。血清SP-A、SP-D的变化与FVC %、DLCO %的变化呈显著负相关。根据logistic回归分析,SP-A从基线到3个月的下降是6个月效果的预测因子(奇数比0.88)。结论:SP-A、SP-D和KL-6的变化反映了抗纤维化药物的治疗效果。这些可能是抗纤维化药物的治疗预测性生物标志物。
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Change in serum surfactant protein (SP)-A, SP-D and KL-6 predict the therapeutic effect of antifibrotic drugs in IPF
Background: Serum surfactant protein (SP)-A, SP-D, and KL-6 are prognostic biomarkers of patients with idiopathic pulmonary fibrosis (IPF), however, the relationship with the therapeutic effect of antifibrotic drugs has not been investigated. Aim: To clarify whether serum SP-A, SP-D and KL-6 are therapeutic predictive markers of pirfenidone and nintedanib in patients with IPF. Methods: We retrospectively investigated patients with IPF who started pirfenidone or nintedanib between January 2014 and June 2018 at our hospital. The change in clinical parameters and serum SP-A, SP-D and KL-6 levels were evaluated. Patients with a > 10% decline in forced vital capacity (FVC) or a > 15% decline in diffusing capacity of the lung for carbon monoxide (DLco) from baseline to 6 months were classified as a deterioration group and the other was classified as an effective group. Results: Forty-nine patients were included (pirfenidone; 23, nintedanib; 26). Thirty-two patients were the effective group and 17 patients were the deterioration group. In the effective group, the change in serum SP-A, SP-D, and KL-6 from baseline to 3 and/or 6 months significantly decreased compared with the deterioration group. The change in serum SP-A and SP-D showed significant negative correlations with the change in %FVC and %DLCO. According to the logistic regression analysis, the decrease in SP-A from baseline to 3 months was a predictor of the effect at 6 months (odd’ ratio 0.88). Conclusions: Change in SP-A, SP-D and KL-6 represent the therapeutic effect of antifibrotic drugs. These may be therapeutic predictive biomarkers of antifibrotic drugs.
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