Table 1

Demographic and spirometric data at baseline

Controls (n=20)IPF (n=17)Chronic HP (n=9)NSIP (n=9)Control vs IPFControl vs chronic HPControl vs NSIP
Age, years70 (63–73) (n=18)64 (57–71)60 (48–67)53 (48–65)p=0.6313p=0.0576p=0.0254
Gender, male/female8/1214/34/52/7p=0.0176p>0.9999p=0.4311
Smoking status, ever/never-smokers11/411/53/45/3p>0.9999p=0.3426p=0.657
FVC, L3.2 (2.6–4.3) (n=18)2.6 (2.5–3.3) (n=16)1.9 (1.4–2.6) (n=5)2.0 (1.5–3.1) (n=6)p=0.372p=0.0077p=0.0418
FVC % predicted, %108.5 (103.5–118.3)77.0 (65.8–95.0)58.7 (41.0–70.8)77.0 (60.2–91.2)p=0.0009p=0.0001p=0.0057
DLCO, mL/min/mm Hg6.3 (5.5–7.4) (n=17)4.2 (3.4–5.4) (n=14)4.2 (2.1–4.2) (n=5)4.2 (3.3–4.6) (n=5)p=0.0021p=0.0009p=0.0127
DLCO % predicted, %80.0 (72.0–88.5)54.5 (45.5–62.0)55.0 (22.7–55.6)56.4 (43.6–57.2)p=0.0002p=0.0003p=0.0039
Steroid use at baseline yes/no3/111/143/33/3p=0.3295p=0.3027p=0.3027
  • Data expressed as median (IQR) unless specified. Age is recorded at time of diagnosis apart from controls whose age is captured at the time of baseline measurements. Groups compared by Kruskal-Wallis test with Dunn’s post hoc test for continuous variables, and by Fisher’s exact test for categorical variables.

  • DLCO, diffusing capacity for carbon monoxide; HP, hypersensitivity pneumonitis; IPF, idiopathic pulmonary fibrosis; n, number of available data; NSIP, non-specific interstitial pneumonia.