Replication of the original regression model on the training cohort confirmed the significance of the same subset of predictors (including those with borderline significance on the whole sample) and the coefficients in Table 4 were used for setting the final equation of the score ( COGITAT — COG nitive I mpairment assessment T hrough h A ndwri T ing) and subsequently the probability of having cognitive impairment (P): COGITAT Score = 0.085 ∗ AGE – 0.654 ∗ WSSO – 0.055 ∗ WORD + 0.127 ∗ PERR P = e − 3.498 + 0.085 AGE − 0.654 WSSO − 0.055 WORD + 0.127 PERR 1 + e − 3.498 + 0.085 AGE − 0.654 WSSO − 0.055 WORD + 0.127 PERR Where: P: Probability of having cognitive impairment.
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Cognitive impairment assessment through handwriting (COGITAT) score: a novel tool that predicts cognitive state from handwriting for forensic and clinical applications.
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The sentences
The multivariate analysis confirmed age (OR: 1.07; 95%CI: 1.02–1.13; p = 0.008) together with three other (even if not fully significant) characteristics of spontaneous text (writing score - spatial orientation; total number of words; and percent of errors) as independent factors associated with cognitive impairment.