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. 2020 Sep 17;8:54. doi: 10.1186/s40635-020-00339-7

Table 1.

Diagnostic characteristics of 11 Ftc formulae

Thresh. Sens. Spec. Conc. R2
Mechanical Equations
FtcWodey = systolic time + 0.00129 (HR − 60) 20 2% 96% 93% 100% 0.75
FtcWeissler = systolic time + 0.0016 (HR − 60) 11 3% 91% 93% 98% 0.71
FtcGobbato = systolic time + 0.00192 (HR − 60) 18 3% 91% 93% 95% 0.66
FtcPenati = systolic time + 0.00122 (HR − 60) 19 2% 93% 93% 99% 0.75
FtcLian = cycle time [0.709 x systolic time x (cycle time + 0.41)] 26 4% 78% 87% 89% 0.61
Electrical Equations
FtcBazett=systolic timecycletime24 3% 91% 93% 98% 0.71
FtcFredericia=systolic timecycle3time25 2% 87% 85% 90% 0.55
FtcHodges = systolic time + 0.00175 (HR − 60) 16 3% 91% 93% 97% 0.68
FtcFramingham = systolic time + 0.154 (1.0 − cycle time) 21 2% 93% 93% 98% 0.73
FtcAdams = systolic time + 0.1464 (1.0 − cycle time) 22 2% 93% 93% 98% 0.74
FtcChambers = systolic time + 0.127 (1.0 − cycle time) 23 2% 96% 93% 99% 0.76

Thresh. represents optimal threshold change in corrected flow time. Sens. is sensitivity (%) and spec. is specificity (%) for detecting a 10% change in stroke volume. Conc. is concordance rate (%) and R2 is the regression coefficient from the four-quadrant plot