Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon

Table 3 The most important features to identify D2T RA patients based on logistic regression coefficients

Feature	Logistic regression coefficient
Number of different medication prescriptions, based on the extracted medication in Supplemental table 2	1.05
Mean DAS28-ESR score over time	0.76
Median DAS28-ESR score over time	0.70
Median non-invasively measured blood pressure over time	0.64
Standard deviation of the creatinine laboratory measurements over time	0.63
Time since RA diagnosis	0.52
Median of banded neutrophils over time	0.37
Ratio of segmented neutrophils by percentage of immature granulocytes over time	0.30
Standard deviation of percentage of reticulocytes over time	0.30
Median of the delta over time of banded neutrophils over time	0.29

Features are noted in order of importance. A higher value of a feature corresponds to a higher likelihood of having D2T RA
DAS28 disease activity score based on 28-joint count, ESR erythrocyte sedimentation rate, RA rheumatoid arthritis

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