Table 7.

Logistic regression model of bronchoscopy related complications (n=600)

Variable	OR	95% CI		P value
Univariate Model	N=600
With TBBx	3.27	1.70	6.31	<0.001
BAL negative	1.03	0.51	2.07	0.94
Clinical:
Female	2.07	1.09	3.94	0.03
Age	1.00	0.99	1.02	0.61
Autologousa	1.35	0.64	2.84	0.43
Myeloablative conditioningb	1.65	0.68	4.01	0.27
GVHDc	1.12	0.57	2.19	0.74
Platelet count	1.00	1.00	1.01	0.11
Neutrophil count	1.06	0.99	1.12	0.10
Pulmonary physiology:
FVCd	1.23	1.02	1.48	0.03
FEV1d	1.16	1.00	1.34	0.05
DLCOd	1.29	1.05	1.59	0.01
Bronchoscopy:
Antibiotics, noe	2.10	1.10	4.00	0.02
No of antibiotics prior to bronchoscopy	1.30	1.01	1.67	0.04
Antibiotics prior in daysf	1.08	1.01	1.15	0.03
Multivariate Model (AUC=0.688)	OR	95% CI		P value
With TBBx	3.33	1.63	6.79	0.001
Myeloablativeb	3.08	1.04	9.11	0.04
FVCd	1.02	1.00	1.04	0.05

^avs allogenic

^bvs reduced intensity

^cacute and/or chronic

^dper 10% decrease in % predicted value

^eantibiotics prior to bronchoscopy, no vs yes

^fper 1 day decrease

Certain CT radiological features are not depicted with p>0.2