. Author manuscript; available in PMC: 2019 Aug 12.

Published in final edited form as: Respir Med. 2019 Jan 24;148:6–12. doi: 10.1016/j.rmed.2019.01.008

Table 3.

Univariate regression analysis predicting the presence of frailty^*

	Frail vs. No/Pre-binary logistic
	OR	95% CI	P-value
Age (per 10-year increase)	5.623	1.555–20.328	0.0085
Male	0.516	0.157–1.691	0.2744
Smoking	1.286	0.389–4.247	0.6801
BMI	1.003	0.882–1.141	0.9614
FVC, % predicted (per 10% increase)	0.610	0.404–0.921	0.0187
FVC, L	0.381	0.176–0.827	0.0147
FEV1, % predicted (per 10% increase)	0.608	0.409–0.904	0.0140
FEV1, L	0.226	0.076–0.670	0.0073
DLCO, % predicted (per 10% increase)	0.516	0.338–0.787	0.0021
6MWD, feet (per 100 ft increase)	0.870	0.735–1.031	0.1074
Oxygen use	4.929	1.138–21.347	0.0329
Number of comorbidities	1.465	1.064–2.016	0.0192
UCSD SOB (per 10 point increase)	1.644	1.189–2.274	0.0027
FSS (per 10 point increase)	2.252	1.347–3.763	0.0019
Functional limitations	2.483	1.522–4.051	0.0003
Geriatric conditions^†	2.016	1.157–3.515	0.0134
Pectoralis muscle area, mm² (per 100 mm² increase)	0.94	0.89–1.00	0.0525

Odds ratio (OR) presented for each variable is per 1-unit increase, unless otherwise listed

^†

Geriatric conditions include incontinence, vision impairment, hearing impairment, dizziness, falls.

Abbreviations: 6MWD=6-minute walk distance; BMI=body mass index; DLCO=diffusion capacity; FEV1=forced expiratory volume; FSS=fatigue severity scale; FVC=forced vital capacity; UCSD SOBQ=University of California San Diego shortness of breath questionnaire.