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. 2018 Oct 1;198(7):903–913. doi: 10.1164/rccm.201712-2472OC

Table 3.

Summary of Results from Binary Analysis of Complete Clinical Dataset

RPD Description Sepsis Prevalence AUC Sensitivity Specificity NPV PPV
Unanimous, based on discharge evaluation (n = 290 of 447 [64.9%]) All three panelists and site PI agree on SIRS (171 of 290 [59.0%]) or sepsis (119 of 290 [41.0%]) 41.0% 0.89 0.97 0.34 0.94 0.51
Consensus (n = 410 of 447 [91.7%]) Majority vote leads to exclusion of 37 indeterminates and classification of 230 of 410 (56.1%) as SIRS and 180 of 410 (43.9%) as sepsis 43.9% 0.85 0.94 0.35 0.89 0.53
Forced (n = 447 of 447 [100.0%]) All subjects classified as SIRS (245 of 447 [54.8%]) or sepsis (202 of 447 [45.2%]) 45.2% 0.82 0.92 0.65 0.91 0.69

Definition of abbreviations: AUC = area under the curve; NPV = negative predictive value; PI = principal investigator; PPV = positive predictive value; RPD = retrospective physician diagnosis; SIRS = systemic inflammatory response syndrome.

A SeptiCyte LAB cutoff value of 3.1 was used in the analysis. This value had been obtained previously from receiver operating curve analysis of an independent discovery dataset (4).