BACKGROUND: Decline in forced vital capacity (FVC) over time reliably predicts mortality in patients with idiopathic pulmonary fibrosis. The use of this measure in clinical practice is recommended by current evidence-based guidelines. It is unknown if the method of calculating decline in FVC (relative vs. absolute change) impacts its frequency or its ability to predict mortality. METHODS: Patients with idiopathic pulmonary fibrosis from two prospective cohorts were included if they had a baseline and 12-month follow-up FVC. A ≥10% decline in FVC from baseline was calculated in two ways: a relative decline of 10% (e.g., from 60% predicted to 54% predicted) and an absolute decline of 10% (e.g., from 60% predicted to 50% predicted). The frequency of a ≥10% decline in FVC and its ability to predict 2-year transplant-free survival were compared between these two methods. Declines in FVC of ≥5% and ≥15% were similarly compared. Analyses were performed unadjusted and adjusted for age, gender, use of oxygen, baseline FVC and baseline diffusion capacity for carbon monoxide. RESULTS: The frequency of any given FVC decline was significantly greater using the relative change in FVC method. For ≥10% decline, both methods predicted 2-year transplant-free survival with similar accuracy, and remained significant predictors after adjusting for baseline characteristics. The absolute change method appeared more predictive for ≥5% decline. CONCLUSIONS: Using the relative change in FVC maximises the chance of identifying a ≥10% decline in FVC without sacrificing prognostic accuracy. This may not hold true for ≥5% decline in FVC. These findings have important implications for clinical practice and the design of clinical trials.
BACKGROUND: Decline in forced vital capacity (FVC) over time reliably predicts mortality in patients with idiopathic pulmonary fibrosis. The use of this measure in clinical practice is recommended by current evidence-based guidelines. It is unknown if the method of calculating decline in FVC (relative vs. absolute change) impacts its frequency or its ability to predict mortality. METHODS:Patients with idiopathic pulmonary fibrosis from two prospective cohorts were included if they had a baseline and 12-month follow-up FVC. A ≥10% decline in FVC from baseline was calculated in two ways: a relative decline of 10% (e.g., from 60% predicted to 54% predicted) and an absolute decline of 10% (e.g., from 60% predicted to 50% predicted). The frequency of a ≥10% decline in FVC and its ability to predict 2-year transplant-free survival were compared between these two methods. Declines in FVC of ≥5% and ≥15% were similarly compared. Analyses were performed unadjusted and adjusted for age, gender, use of oxygen, baseline FVC and baseline diffusion capacity for carbon monoxide. RESULTS: The frequency of any given FVC decline was significantly greater using the relative change in FVC method. For ≥10% decline, both methods predicted 2-year transplant-free survival with similar accuracy, and remained significant predictors after adjusting for baseline characteristics. The absolute change method appeared more predictive for ≥5% decline. CONCLUSIONS: Using the relative change in FVC maximises the chance of identifying a ≥10% decline in FVC without sacrificing prognostic accuracy. This may not hold true for ≥5% decline in FVC. These findings have important implications for clinical practice and the design of clinical trials.
Authors: David J Lederer; Williamson Z Bradford; Elizabeth A Fagan; Ian Glaspole; Marilyn K Glassberg; Kenneth F Glasscock; David Kardatzke; Talmadge E King; Lisa H Lancaster; Steven D Nathan; Carlos A Pereira; Steven A Sahn; Jeffrey J Swigris; Paul W Noble Journal: Chest Date: 2015-07 Impact factor: 9.410
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Authors: Margaret L Salisbury; Meng Xia; Yueren Zhou; Susan Murray; Nabihah Tayob; Kevin K Brown; Athol U Wells; Shelley L Schmidt; Fernando J Martinez; Kevin R Flaherty Journal: Chest Date: 2016-01-12 Impact factor: 9.410
Authors: Jennifer M Wang; Scott H Robertson; Ziyi Wang; Mu He; Rohan S Virgincar; Geoffry M Schrank; Rose Marie Smigla; Thomas G O'Riordan; John Sundy; Lukas Ebner; Craig R Rackley; Page McAdams; Bastiaan Driehuys Journal: Thorax Date: 2017-08-31 Impact factor: 9.139
Authors: Shelley L Schmidt; Nabihah Tayob; Meilan K Han; Christopher Zappala; Dolly Kervitsky; Susan Murray; Athol U Wells; Kevin K Brown; Fernando J Martinez; Kevin R Flaherty Journal: Chest Date: 2014-03-01 Impact factor: 9.410
Authors: Brett Ley; Williamson Z Bradford; Eric Vittinghoff; Derek Weycker; Roland M du Bois; Harold R Collard Journal: Am J Respir Crit Care Med Date: 2016-09-15 Impact factor: 21.405