. Author manuscript; available in PMC: 2022 Jan 20.

Published in final edited form as: J Bone Miner Res. 2020 Aug 4;35(10):1952–1961. doi: 10.1002/jbmr.4103

Table 3:

Impact of the Addition of Individual Lung-Specific Risk Factors to Prediction Models

	aOR (95%CI)^c	Change in BIC^d	NRI (SE)^e	NRI (event)	NRI (non-event)	IDI (95% CI)^f	Relative IDI^g
FEV1, per 10%	1.00 (0.96–1.004)	9.2	0.005 (0.005)	0.003	−0.002	0.00001 (−0.0001–0.0001)	0.5%
GOLD	0.99 (0.90–1.08)	23.7	0.020 (0.014)	−0.054	−0.074	−0.0001 (−0.0009–0.0006)	2.3%
Emphysema ≥ 5%	1.13 (0.88–1.46)	18.0	0.027 (0.012)^a	−0.029	−0.056	0.001 (0.0003–0.002)^b	12.8%
Inhaled steroids	0.99 (0.77–1.26)	14.4	−0.001 (0.006)	0.005	0.006	−0.0003 (−0.0029 – −0.0027)^b	−3.1%
6-minute walk distance, per 30 meters	0.999 (0.998–0.9996)^b	−9.6	0.043 (0.015)^b	0.014	−0.029	0.001 (0.0001–0.002)^a	6.3%
Modified Medical Research Council	1.01 (0.94–1.09)	0.1	−0.002 (0.005)	−0.003	−0.0005	−0.0001 (−0.001–0.001)	−0.2%
Total exacerbations	1.11 (1.08–1.15)^b	−30.8	0.026 (0.016)	−0.028	−0.054	0.008 (0.003–0.013)^b	34.6%

P <0.05

P<0.01

Adjusted Odds ratio (95% CI) for traditional risk factors (age enrollment, race, osteoporosis, prevalent hip or compression fracture, rheumatoid arthritis, diabetes).

Bayesian Information Criteria

Net reclassification index, using a category of 3.0%

Integrated discrimination improvement

Model slope with traditional predictors was 0.0229