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. Author manuscript; available in PMC: 2014 Sep 5.
Published in final edited form as: J Am Geriatr Soc. 2013 Sep 5;61(9):1499–1507. doi: 10.1111/jgs.12419

Table 3.

Logistic Regression Models for Post-Operative Complications n=587,314

Unadjusted Full Set of Patient
Characteristics
Patient and Hospital
Characteristics
Patient, Hospital and
Race*Sex Interaction
Model 1 Model 2 Model 3 Model 4
Respiratory
Compromise
Male 1.44*** 1.09*** 1.08***
Black 1.19*** 0.79*** 0.81***
Hispanic 1.20*** 1.05 1.05

Renal
Dysfunction
Male 1.67*** 1.27*** 1.27***
Black 1.74*** 0.94 0.92***
Hispanic 1.24*** 0.90*** 0.93*

Pneumothorax Male 1.17*** 1.00 0.98
Black 1.09* 0.86*** 0.90*
Hispanic 1.13* 1.04 1.05

Hypotension/
Shock
Male 1.18*** 1.00 1.00
Black 1.24*** 0.98 0.94
Hispanic 1.22*** 1.09* 0.95

Cardiac
Emergency
Male 1.79*** 1.36*** 1.36***
Black 1.15** 0.87*** 0.85***
Hispanic 1.01 0.90** 0.87***

Internal Organ
Damage
Male 1.26*** 1.01 1.00
Black 1.24*** 1.05 1.08
Hispanic 1.11* 1.09* 1.03

Deep Wound
Infection
Male 1.48*** 1.17*** 1.16***
Black 1.71*** 0.85*** 0.85***
Hispanic 1.37*** 1.00 0.95

GI Bleed &
Blood Loss
Male 0.78*** 0.83*** 0.82*** 0.82***
Black 0.95 1.10 1.23*** 1.17***
Hispanic 0.84*** 1.00 1.02 1.02
Black*Male 1.15**

(Delirium)
Psychosis
Male 0.80*** 1.07*** 1.05*** 1.05***
Black 1.16*** 1.34*** 1.41*** 1.46***
Hispanic 0.84*** 0.95 0.89*** 0.89***
Black*Male 0.90*

Pneumonia-
(other than
aspiration)
Male 1.37*** 1.20*** 1.20*** 1.21***
Black 1.16*** 0.83*** 0.90* 0.90*
Hispanic 1.15** 1.02 0.98 1.05
Hispanic*Male 0.87**

Post-surg Comp,
not classified
elsewhere
Male 1.52*** 1.37*** 1.39*** 1.40***
Black 1.14* 1.12* 1.09 1.18**
Hispanic 0.96 0.98 1.04 1.04
Black*Male 0.84**

Sepsis Male 1.62*** 1.21*** 1.20*** 1.22***
Black 2.11*** 1.06 1.04 1.14**
Hispanic 1.82*** 1.31*** 1.16*** 1.16***
Black*Male 0.81***

Pressure Ulcer Male 1.22*** 0.97 0.98 1.00
Black 2.69*** 1.20*** 1.12* 1.12*
Hispanic 1.50*** 0.98 0.87** 0.96
Hispanic*Male 0.80***

NOTE:

*

p≤ 0.05

**

p≤0.01

***

p≤0.001

Models are presented in step-wise fashion so that each subsequent model includes the variables in the prior model. Coefficients for patient and hospital characteristics were suppressed due to space. Model 1 includes separate un-adjusted models for sex and race/ethnicity. Model 2 includes all patient characteristics: age, surgical Diagnosis Related Groups (DRGs), 27 Elixhauser comorbidity dummies, insurance type, transfer status, Neighborhood Socioeconomic Index. Model 3 adds hospital characteristics: bed size, teaching status, technology status, Core Based Statistical Area (CBSA), and state. Model 4 adds significant interaction term (race/ethnicity*sex). Reference group is non-Hispanic white women.