Table 3. Optimal diagnostic algorithms using combinations of highly predictive antigen targets.

Combinations of 3, 4, or 5 targets, in which detection of at least 2 targets scores positive for the infection, have been found to identify Lyme(+) and Lyme(-) samples with high sensitivity and specificity. The diagnostic algorithms with the highest combined sensitivity and specificity values are listed.

	Criteria for Positive Diagnostic Score
	≥ 2 of 3 Targets Detected	≥ 2 of 4 Targets Detected	≥ 2 of 5 Targets Detected
Sensitivity of Diagnostic Algorithm(s):	90%	90%	90%
Specificity of Diagnostic Algorithm(s):	100%%	100%	100%
	BmpA,DbpB,VlsE	BmpA,DbpB,OspD,VlsE	DbpA,DbpB,ErpL,OspD,VlsE
	DbpA,DbpB,VlsE	DbpB,ErpL,OspD,VlsE	BmpA,DbpB,ErpL,OspD,VlsE
		DbpA,DbpB,P41,VlsE	DbpA,DbpB,ErpL,P41,VlsE
Groups of Targets with		BmpA,DbpB,ErpL,VlsE	DbpA,DbpB,ErpL,OspC,VlsE
Maximum Sensitivity & Specificity		DbpA,DbpB,OspC,VlsE	BmpA,DbpB,ErpL,P41,VlsE
		DbpB,ErpL,OspC,VlsE	BmpA,DbpB,ErpL,OspC,VlsE
		DbpA,DbpB,OspD,VlsE
		BmpA,DbpB,P41,VlsE
		DbpB,ErpL,P41,VlsE
		BmpA,DbpB,OspC,VlsE
		DbpA,DbpB,ErpL,VlsE