Fig. 1

Forest plots showing the coefficients of linear regression and their respective confidence intervals (CI) indicating predictive powers of the analyzed explanatory variable on GOS (evaluated after the Yeo-Johnson transformation and standardization). Plots A and C show the values of standardized beta for continuous explanatory parameters, and plots B and D show the beta for categorical explanatory variables. The higher the beta, the higher the predictive power of the given explanatory variable (with negative values meaning negative correlations and vice versa). Parameters whose 95% CI included zero (95% CI equals the depicted bar width) did not affect GOS in a statistically significant way (p > 0.05, in red) Conversely, parameters in blue were identified as relevant predictors regarding our dataset (p < 0.05) and evaluated by linear regression. GOS hosp: Glasgow Outcome Scale at hospital discharge; GCS 3 M: Glasgow Outcome Scale three months after hospital discharge; STESS: Status Epilepticus Severity Score at admission; CFS: Clinical Frailty Scale; mFI-11: Modified 11-item Frailty index; GCS: Glasgow Coma Scale; BMI: body mass index; Alc_ab: alcohol abuse; Alc_tox: alcohol intoxication; Nic_ab: nicotine abuse; S100: serum protein S-100; TNT: serum high-sensitivity Troponin T; Na: serum natrium; K: serum potassium; Cl: serum chloride; Mg: serum magnesium; P: serum phosphorus; Ca: serum calcium; Alb: serum albumin; CRP: C-reactive protein; Lac: lactate; BE: base excess; Sosm: serum osmolality; OG: osmotic gap