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Table 3 Association between change in weight (slope) and risk of outcomes over the whole INBUILD trial

From: Weight loss and outcomes in subjects with progressive pulmonary fibrosis: data from the INBUILD trial

 

Acute exacerbation or death

ILD progression

ILD progression or death

N included

   

 Placebo

330

327

327

 Nintedanib

331

326

326

Longitudinal sub-modela

   

 Estimated change in weight (kg) (95% CI) with placebo

 − 1.60 (− 2.08, − 1.12)

 − 0.76 (− 1.34, − 0.19)

 − 0.93 (− 1.50, − 0.37)

 Estimated change in weight (95% CI) difference for nintedanib vs placebo

 − 1.51 (− 2.19, − 0.84)

 − 2.07 (− 2.84, − 1.31)

 − 2.00 (− 2.76, − 1.24)

 p-value

 < 0.001

 < 0.001

 < 0.001

Time-to-event sub-modelb

   

n (%) with event

   

 Placebo

64 (19.4)

156 (47.7)

177 (54.1)

 Nintedanib

46 (13.9)

109 (33.4)

129 (39.6)

 Hazard ratio (95% CI) for nintedanib vs placebo

0.60 (0.41, 0.89)

0.68 (0.52, 0.89)

0.64 (0.50, 0.81)

 p-value

0.011

0.004

 < 0.001

Association between change in weight (slope) and risk of event, hazard ratio (95% CI)

 Per 1 kg decrease

1.08 (1.03, 1.14)

0.96 (0.91, 1.01)

1.00 (0.96, 1.04)

 Per 4 kg decrease

1.38 (1.13, 1.68)

0.83 (0.68, 1.02)

1.01 (0.87, 1.18)

 Per 10 kg decrease

2.23 (1.36, 3.65)

0.64 (0.39, 1.05)

1.03 (0.70, 1.53)

 p-value

0.002

0.08

0.88

  1. UIP usual interstitial pneumonia, ILD interstitial lung disease
  2. aRandom effects normal linear model of weight (kg) with HRCT pattern (UIP-like pattern or other fibrotic patterns) and weight at baseline as predictor variables, a separate slope assumed for the nintedanib and placebo groups, and trajectories modelled by a linear trend with an unstructured variance–covariance matrix assumed
  3. bProportional hazard model with a piecewise exponential baseline hazard, stratified by HRCT pattern, with treatment as a predictor variable and the endogenous time-dependent covariate of weight (kg) as estimated slope of the longitudinal response