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. 2022 Nov 16;9(12):2041–2046. doi: 10.1002/acn3.51686

Table 1.

Conversion coefficients for total scores and axial components (the use of second‐order polynomial equations is only recommended for ambulatory populations). For example, mFARS = 14.59 + (SARA × 1.84), or mFARS(axial) = 22.20 + (SARA × 1.40) + (SARA2 × −0.0066). The association between mFARS and FARSn is included for legacy comparison (see “Discussion” section).

Score Model Linear model Second‐order polynomial model
Units Points Percentages Percentages
Predicted from Inter. Slope Int. Slope Inter. x x 2
Total scores mFARS FARSn −0.10 0.80 −0.10 1.07
mFARS SARA 14.57 1.84 15.67 0.79
mFARS ICARS 11.06 0.85 11.89 0.91
SARA mFARS −5.84 0.51 −14.61 1.17
SARA ICARS −1.27 0.45 −3.18 1.12
ICARS mFARS −9.67 1.12 −9.67 1.04
ICARS SARA 4.51 2.15 4.51 0.86
Axial component mFARS SARA 14.19 1.22 39.41 0.61 22.20 1.40 −0.0066
mFARS ICARS 10.27 0.74 28.53 0.70 21.39 0.99 −0.0023
SARA mFARS −8.49 0.71 −47.15 1.42 34.93 −1.28 0.0197
SARA ICARS −2.48 0.58 −13.79 1.09 12.87 0.00 0.0087
ICARS mFARS −10.27 1.22 −30.19 1.29 11.07 −0.06 0.0099
ICARS SARA 5.29 1.64 15.56 0.87 −1.97 1.68 −0.0068