Table 5

Multivariate linear regression model evaluating the impact of a number of demographic, clinical, and perioperative factors on predicting direct cost.

β (SE)95% CI P Value
Total Direct Cost (Model 4)(R 2 = 0.83, P < 0.0001a)
Age−27.00 (15.43)−57.3 to 3.30.0805
Sex (male)−1252.57 (399.43)−2036.2 to −468.90.0018a
American Society of Anesthesiologists physical status classification system status−209.29 (347.25)−890.6 to 472.00.5468
Elixhauser Comorbidity Index23.86 (56.87)−87.7 to 135.40.6749
Number of segments operated1830.24 (107.74)1618.9–2041.6<0.0001a
Obesity−409.93 (479.36)−1350.4 to 530.60.3926
Obstructive sleep apnea632.78 (781.3)−900.1 to 2165.70.4182
Length of surgery31.37 (3.04)25.4–37.3<0.0001a
Crystalloids0.23 (0.23)−0.22 to 0.680.3260
Colloids3.97 (2.45)−0.84 to 8.80.1054
Red blood cells0.51 (1.30)−2.0 to 3.10.6928
Platelets10.28 (5.88)−1.3 to 21.80.0806
Fresh frozen plasma−5.82 (1.84)−9.4 to −2.20.0016a
Cryoprecipitate352.91 (33.68)286.8–419.0<0.0001a
Length of stay1301.54 (47.23)1208.9–1394.2<0.0001a
Intensive care unit length of stay1229.41 (111.55)1010.6–1448.3<0.0001a
Awake intubation858.09 (833.25)−776.7 to 2492.90.3033
  • Abbreviation: SE, standard error.

  • Note: Multiple models were constructed to evaluating a variety of clinical factors. The table presents model 4 from Table 6 and is the most comprehensive model.

  • a P < 0.05 was used as a threshold for statistical significance.