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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: J Burn Care Res. 2017 May-Jun;38(3):187–193. doi: 10.1097/BCR.0000000000000456

Table 3.

Estimated effect of admit year, patient demographics, and burn characteristics on inpatient mortality.

Patient
Characteristics
Hazard
Ratioa
95% CI p-value
Admit year
2004 – 2007 1.21 0.85, 1.73 0.29
2008 – 2010 1.15 0.79, 1.67 0.48
2011 – 2013 ref -
Gender
Male 0.78 0.57, 1.06 0.11
Female ref -
Race/Ethnicity
Caucasian ref -
African American 0.78 0.56, 1.09 0.15
Hispanic 1.66 0.79, 3.49 0.18
Other 1.68 1.12, 2.52 0.01
Age, in yearsb
20 years old ref -
30 years old 0.86 0. 30, 2.46 0.77
40 years old 1.32 0.60, 2.91 0.49
50 years old 2.64 1.24, 5.63 0.01
60 years old 6.84 3.10, 15.11 <0.0001
70 years old 12.12 5.61, 26.15 <0.0001
Burn mechanism
Flame ref -
Scald 0.36 0.18, 0.72 0.004
Contact 0.95 0.40, 2.30 0.91
Other burn 1.53 0.85, 2.76 0.16
TBSAb
0% ref -
20% 3.44 1.73, 6.84 0.0004
40% 8.63 4.91, 15.17 <0.0001
60% 19.62 10.79, 35.68 <0.0001
Inhalation injury
Yes 1.53 1.12, 2.09 0.008
No ref -

CI=Confidence interval, TBSA= Total burn surface area

a

All estimates are adjusted for patient and burn characteristics, including gender, race/ethnicity, age, burn mechanism, TBSA, and inhalation injury; stabilized inverse probability of censor weights were used to control differential follow-up/hospitalization time

b

Both age and TBSA were modeled as continuous variables