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Table 7 Thresholds and definitions for node states – Bayesian network for prediction of prolonged oral ketamine response

From: Predicting therapeutic response to oral ketamine for chronic suicidal ideation: a Bayesian network for clinical decision support

Variable

Definitions and thresholds for states

Discretisation method/ source

Age

age_under_25 = < 25 years

determined by study authors

age_25_44 = 25 ≤ years < 45

age_45_64 = 45 ≤ years < 65

age_65_up = ≥ 65 years

Sex

male

determined by study authors

female

Tertiary education

yes = tertiary education

determined by study authors

no = no tertiary education

Employed

yes = employed; full time, part time or casual

determined by study authors

no = unemployed or not in labour force

Partnered

yes = married/de facto

determined by study authors

no = never married, widowed, divorced, separated

Suicide attempts

none = no previous suicide attempt

determined by study authors

one = one previous suicide attempt

two_or_more = ≥ two previous suicide attempts

BMI

underweight = <  18.5

[58]

healthy = 18.5–24.9

overweight = 25–29.9

obese = ≥ 30

Profile

low, high; latent variable (unobserved, parameterised during automated learning)

not applicable; latent variable

MADRS

not_severe = ≤ 34

[59]

severe = > 34

SOFAS

low = <  55

uniform widths

high = ≥ 55

Prolonged response

yes = (i) ⩾50% improvement from pre-treatment BSS at the end of the post-treatment follow-up phase, or

(ii) BSS score ≤ 6 at the end of the post-treatment follow-up phase

no = no improvement as defined for ‘yes’

determined by study authors