Table 2.

Logistic regression model for successful intubation.

	Ultimate Success		First-Attempt Success
Variable	OR	95% CI	OR	95% CI
Age	1.0	0.97–1.0	1.0	0.98–1.0
≥1 DAC*	0.5	0.3–0.9	0.4	0.3–0.7
Male†	0.5	0.3–0.9	0.7	0.5–1.0
Trauma‡	1.6	0.9–2.9	1.2	0.8–1.8
Specialty=EM§	5.3	0.8–34.2	8.0	1.7–38.3
Operator EMR
0	[Reference]		[Reference]
1	0.2	0.02–2.0	0.2	0.04–1.5
2	0.1	0.01–1.7	0.4	0.06–2.5
3 or attending	0.2	0.02–2.7	0.4	0.06–2.8
Paralytic used
Succinylcholine	[Reference]		[Reference]
Rocuronium	0.6	0.4–1.1	0.8	0.5–1.2
None	0.5	0.1–2.8	0.6	0.2–1.7
Sedative used
Etomidate	[Reference]		[Reference]
Other	1.5	0.4–5.0	1.3	0.6–2.6
None	1.3	0.2–7.0	2.4	0.7–8.1
Indication for intubation
Airway control	[Reference]		[Reference]
Cardiac arrest	0.9	0.3–2.8	0.4	0.2–0.8
Patient control	1.0	0.4–2.8	1.4	0.7–3.0
Hypoxia‖	1.0	NA*	1.0	NA*
Respiratory failure	1.6	0.8–3.3	1.09	0.7–1.8
Reason for device
Standard	[Reference]		[Reference]
Difficult	0.3	0.1–0.8	0.3	0.1–0.5
Education	0.4	0.1–1.7	0.6	0.3–1.2
Device used
Device=CMAC¶	17.6	5.3–58.2	3.4	1.8–6.7
Device=C-MAC¶ (propensity score regression)	12.7	4.1–38.8	2.2	1.2–3.8

^*Reference=0 DACs.

^†Reference=female.

^‡Reference=medical.

^§Reference=nonemergency medicine specialty.

^‖When entered into the regression model, hypoxia as an indication for intubation perfectly predicted success.

^¶Reference = DL