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开发并内部验证了一个预测模型,用于预测囊性纤维化且 FEV1 预计值≤50%的患者在 2 年内死亡或需要肺移植的概率。

Development and Internal Validation of a Prognostic Model of the Probability of Death or Lung Transplantation Within 2 Years for Patients With Cystic Fibrosis and FEV ≤ 50% Predicted.

机构信息

Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA.

Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA.

出版信息

Chest. 2022 Oct;162(4):757-767. doi: 10.1016/j.chest.2022.05.021. Epub 2022 May 26.

Abstract

BACKGROUND

Improved methods are needed to risk-stratify patients with cystic fibrosis (CF) and reduced FEV.

RESEARCH QUESTIONS

What are the predictors of death or lung transplantation (LTx) within 2 years among patients with CF whose FEV ≤ 50% predicted? Do these markers similarly predict outcomes among G551D patients taking ivacaftor since 2012?

STUDY DESIGN AND METHODS

Patients with CF, age ≥ 6 years with FEV ≤ 50% predicted as of December 31, 2014, were identified in a data set that merged Cystic Fibrosis Foundation and United Network for Organ Sharing (UNOS) registries. The least absolute shrinkage and selection operator (LASSO) method was applied to a randomly selected training set to select important prognostic variables. Accuracy and association of the model with death or LTx with 2 years (2-year death or LTx) were validated via logistic regression on an independent test set. Sensitivity analyses explored predictors for patients with UNOS data.

RESULTS

FEV percent predicted (OR, 1.51 for 5% decrease; 95% CI, 1.27-1.81), number of pulmonary exacerbations treated with IV antibiotics (OR, 1.35; 95% CI, 1.11-1.65), and continuous or nocturnal oxygen (OR, 3.71; 95% CI, 1.81-7.59) were significantly associated with 2-year death or LTx. Our model predicted outcomes with greater sensitivity (ratio of sensitivity, 1.26; 95% CI, 1.02-1.54), ratio of positive predictive value (1.25; 95% CI, 1.05-1.51), and ratio of negative predictive value (1.04; 95% CI, 1.01-1.07) than FEV < 30% predicted. Among those taking ivacaftor in 2014, only FEV remained associated with 2-year death or LTx. For patients with UNOS data, LASSO identified additional covariates of interest, including noninvasive ventilation use, low hemoglobin, pulmonary arterial systolic pressure, supplemental oxygen, mechanical ventilation, FEV percent predicted, and cardiac index.

INTERPRETATION

Among individuals with CF and FEV ≤ 50% predicted, FEV percent predicted, oxygen therapy, and number of pulmonary exacerbations predicted 2-year death or LTx. Although limited by small sample size, only FEV remained predictive in patients receiving highly effective modulator therapy. Additional physiologic variables could improve prognostication in CF.

摘要

背景

需要改进方法来对囊性纤维化 (CF) 患者和降低的 FEV 进行风险分层。

研究问题

对于 FEV 预测值≤50%的 CF 患者,哪些因素可预测 2 年内死亡或肺移植 (LTx)?自 2012 年以来,这些标志物是否同样可以预测接受依伐卡托治疗的 G551D 患者的结局?

研究设计和方法

在合并了囊性纤维化基金会和器官共享联合网络 (UNOS) 登记处的数据集中,确定了 2014 年 12 月 31 日 FEV 预测值≤50%的年龄≥6 岁的 CF 患者。最小绝对收缩和选择算子 (LASSO) 方法应用于随机选择的训练集,以选择重要的预后变量。通过逻辑回归在独立的测试集上验证模型与 2 年内死亡或 LTx 的准确性和相关性 (2 年死亡或 LTx)。敏感性分析探讨了 UNOS 数据患者的预测因素。

结果

FEV 预测值百分比(OR,每降低 5%增加 1.51;95%CI,1.27-1.81)、接受 IV 抗生素治疗的肺部感染次数(OR,1.35;95%CI,1.11-1.65)和持续或夜间吸氧(OR,3.71;95%CI,1.81-7.59)与 2 年死亡或 LTx 显著相关。我们的模型具有更高的敏感性(敏感性比值,1.26;95%CI,1.02-1.54)、阳性预测值比值(1.25;95%CI,1.05-1.51)和阴性预测值比值(1.04;95%CI,1.01-1.07),优于 FEV <30%预测值。在 2014 年接受依伐卡托治疗的患者中,只有 FEV 与 2 年死亡或 LTx 相关。对于 UNOS 数据患者,LASSO 确定了其他感兴趣的协变量,包括无创通气使用、低血红蛋白、肺动脉收缩压、补充氧气、机械通气、FEV 预测值百分比和心指数。

解释

在 FEV 预测值≤50%的 CF 患者中,FEV 预测值百分比、氧疗和肺部感染次数可预测 2 年内死亡或 LTx。尽管样本量较小,但只有 FEV 在接受高效调节剂治疗的患者中仍然具有预测性。其他生理变量可以改善 CF 的预后。

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