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特发性肺纤维化患者的步态速度与预后:一项前瞻性队列研究。

Gait speed and prognosis in patients with idiopathic pulmonary fibrosis: a prospective cohort study.

机构信息

Harefield Pulmonary Rehabilitation and Muscle Research Laboratory, Royal Brompton and Harefield NHS Foundation Trust, London, UK.

National Heart and Lung Institute, Imperial College London, London, UK.

出版信息

Eur Respir J. 2019 Feb 7;53(2). doi: 10.1183/13993003.01186-2018. Print 2019 Feb.

Abstract

The 4-m gait speed (4MGS), a simple physical performance measure and surrogate marker of frailty, consistently predicts adverse prognosis in older adults. We hypothesised that 4MGS could predict all-cause mortality and nonelective hospitalisation in patients with idiopathic pulmonary fibrosis (IPF).4MGS and lung function were measured at baseline in 130 outpatients newly diagnosed with IPF. Survival status and nonelective hospital admissions were recorded over 1 year. We assessed the predictive value of 4MGS (as a continuous variable and as a binary variable: slow preserved 4MGS) by calculating hazard ratios using Cox proportional regression, adjusting for potential confounding variables. Receiver operating characteristic curves assessed discrimination between the multivariable regression models and established prognostic indices.Continuous 4MGS and slow 4MGS were independent predictors of all-cause mortality (4MGS: HR 0.03, 95% CI 0.01-0.31; p=0.004; slow 4MGS: 2.63, 95% CI 1.01-6.87; p=0.049) and hospitalisation (4MGS: HR 0.02, 95% CI 0.01-0.14; p<0.001; slow 4MGS: 2.76, 95% CI 1.16-6.58; p=0.02). Multivariable models incorporating 4MGS or slow 4MGS had better discrimination for predicting mortality than either the gender, age and lung physiology index or Composite Physiologic Index.In patients with IPF, 4MGS is an independent predictor of all-cause mortality and nonelective hospitalisation.

摘要

4 米步行速度(4MGS)是一种简单的身体机能衡量标准,也是衰弱的替代标志物,它能够持续预测老年人的不良预后。我们假设 4MGS 可以预测特发性肺纤维化(IPF)患者的全因死亡率和非择期住院率。在 130 名新诊断为 IPF 的门诊患者中,我们在基线时测量了 4MGS 和肺功能。在 1 年内记录了生存状态和非择期住院情况。我们通过使用 Cox 比例风险回归计算危险比,调整潜在混杂变量,评估了 4MGS(作为连续变量和作为二分类变量:缓慢保留 4MGS)的预测价值。多变量回归模型和既定预后指标的接收者操作特征曲线评估了鉴别能力。连续 4MGS 和缓慢 4MGS 是全因死亡率(4MGS:HR 0.03,95%CI 0.01-0.31;p=0.004;缓慢 4MGS:2.63,95%CI 1.01-6.87;p=0.049)和住院(4MGS:HR 0.02,95%CI 0.01-0.14;p<0.001;缓慢 4MGS:2.76,95%CI 1.16-6.58;p=0.02)的独立预测因素。纳入 4MGS 或缓慢 4MGS 的多变量模型预测死亡率的鉴别能力优于性别、年龄和肺生理指数或综合生理指数。在 IPF 患者中,4MGS 是全因死亡率和非择期住院的独立预测因素。

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