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. 2022 Jan 10;75:103776. doi: 10.1016/j.ebiom.2021.103776

Table 3.

Model performance statistics for endotype predictions and outcome measures predicting impending severity. The AUC ( Created by potrace 1.16, written by Peter Selinger 2001-2019 Accuracy), sensitivity, and specificity of the models, expressed as percent is provided. The performance of the 40 gene signature and the top 5/148 performing gene pairs is shown. For the severity comparisons, comparisons are based on patient groups with SOFA scores measured 24 H post ER/ICU admission: High (≥ 5), Intermediate (≥ 2 and < 5), and Low (< 2). The cellular reprogramming/endotoxin tolerance (CR) Signature is as per Pena et al.23 The severity and mortality signatures were further reduced by filtering the genes input to LASSO using a more stringent fold change cut off (top 25% highest fold changes).

Cross Validation (%)
Comparison Gene Sets AUC Created by potrace 1.16, written by Peter Selinger 2001-2019 Accuracy Sensitivity Specificity
Severitya
High vs. Low Severity Severity Signature 80 72 73
Reduced Severity Signaturec 80 76 70
CR Signature 75 70 68
Reduced CR Signatured 77 73 73
High + Intermediate vs. Low Severity Severity Signature 71 72 60
Reduced Severity Signaturec 69 64 63
CR Signature 68 64 62
Reduced CR Signatured 73 67 67
Survived vs Died Mortality 75 68 70
Reduced Mortality Signaturee 67 62 62
CR Signature 60 57 61
Reduced CR Signaturec 62 60 61
Endotypesb
Multinomial Model 40 gene set 96 81 95
NPS vs. all others MLLT1/NSUN7 97 93 91
INF vs. all others SPTA1/GLRX5 95 90 85
IHD vs. all others MAP7/PLCB1 90 85 79
IFN vs. all others PLEKHO1/EPSTI1 86 83 76
ADA vs. all others CENPF/PDIA4 97 87 91
a

AUCs obtained in the full (ER + ICU) discovery cohorts.

b

AUCs of data-driven endotype gene sets obtained in ER discovery cohort.

c

Reduced Severity Signature = TNIP3, DSP, RHAG, G0S2, ITGB4, GPR84, FAM83A, PCOLCE2, CXCL8, SDC2, PRTN3, ELANE

d

Reduced CR signature = CD300LF, CPVL, CST3, HK3, MGST1, RAB13, RETN, S100A12

e

Reduced Mortality Signature = HGF, DHRS9, SIGLEC1, MS4A4A, OAS2, MMP8, RGL1, SLC51A, OSBP2, IFIT1