Fig 1.
Antipsychotic coding process timeline for coding outcome data.
Fig 2.
Kaplan-Meier curve of the survival probability for treatment resistant schizophrenia.
Table 1.
Descriptive statistics of treatment resistant schizophrenia predictors.
Table 2.
Survival analysis Lasso Cox regression selected predictors (one standard error penalty).
Fig 3.
Nomogram for Cox Lasso regression to calculate individual normalized prognostic indexes (PI, given by the linear predictor line) for treatment resistant schizophrenia.
Coefficients are based on the Lasso Cox model.—To predict the rate of survival using the nomogram, one can take the example of a 30-year-old patient, with Schizophrenia, having 34 inpatient days recorded at 3 months before the 1st antipsychotic (AP) date, 50 inpatient days recorded 3 months after 1st AP date, 15 community face-to-face days recorded 3 months before 1st AP date, having a minor problem requiring no action and having mood disorders as comorbidity, has a total point score of 78 + 33 + 28 + 6 + 18 + 10 + 0 = 173. This corresponds to a normalized prognostic index of 0.57 (linear predictor line) for TRS, meaning that the patient has a probability to become TRS at 1 year falling in the range 4.14%-7.66%, at 2 years falling in the range 7.62%-13.89%, at 5 years in the range 16.45%-28.74% and at 10 years in the range 26.57%-44.13% (see S3 Table).