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. Author manuscript; available in PMC: 2011 May 1.
Published in final edited form as: Anesth Analg. 2010 May 10;111(5):1101–1109. doi: 10.1213/ANE.0b013e3181dd9516

Table 3.

Global Measures of Model Fit for All-Cause Mortality and Hospital Length of Stay (HLOS)

Postoperative Day 1 biomarker
Peak biomarker
Repeated measures
Δ −2LL Δ AIC Δ BIC Δ −2LL Δ AIC Δ BIC Δ −2LL Δ AIC Δ BIC
Mortality
 w/o biomarkers 56.5 36.5 13.3 56.5 36.5 13.3 43.3 23.3 3.6
 hFABP 72.3* 50.3 24.8 70.0* 48.0 22.5 68.1* 46.1 24.4
 Myoglobin 58.5 36.5 11.0 59.2 37.2 11.7 66.2* 44.2 22.5
 CKMB 57.9 35.9 10.4 57.5 35.5 10.0 45.5 23.5 1.8
 cTnI 56.9 34.9 9.4 56.7 34.7 9.2 43.7 21.7 0.0
Hospital length of stay
 w/o biomarkers 384.1 362.1 306.0 384.1 362.1 306.0 295.0 273.0 219.8
 hFABP 393.4* 369.4 308.2 388.6* 364.6 303.4 314.9* 290.9 232.9
 Myoglobin 394.1* 370.1 308.9 396.8* 372.8 311.5 312.5* 288.5 230.5
 CKMB 393.9* 369.9 308.6 402.1* 378.1 316.9 300.0* 276.0 218.0
 cTnI 389.5* 365.5 304.3 390.4 366.4 305.1 295.9 271.9 213.9

The predictive value of adding each biomarker individually to the baseline clinical model of all-cause mortality and HLOS is shown. Higher values indicate better fit. AIC and BIC reward the model for covariates that contribute significantly and penalizes for each additional variable (larger numbers = better model fit).

−2LL = negative two log likelihood ratio; AIC = Akaike information criterion; BIC = Bayesian information criterion; hFABP = heart-type fatty acid binding protein; cTnI = cardiac troponin I; CKMB = creatinine kinase MB fraction.

*

P < 0.05 is significance of biomarkers compared with baseline clinical model for the negative two log likelihood ratio in a χ2 distribution with 1 degree of freedom.