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Table 1 Variables

From: Identification of risk features for complication in Gaucher’s disease patients: a machine learning analysis of the Spanish registry of Gaucher disease

Demographics

 Gender

M/F

 Birthdate

dd/mmm/year

 Age at diagnosis

years

 Cosanguinity

Y/N

 Family history of PD

Y/N

 Death date

Y/N

 Survival

years

Clinical Data

 GD-DS3

mild

moderate

severe

 Spleen removal

Y/N

 Liver size

cm

 Spleen size

cm

 Previous bone crisis

Y/N

Image Data

 S-MRI

0-> 9

 DEXA

Z score

T score

Analytical Data

 Hemoglobin

g/dL

 WBC

109/L

 Platelets

109/L

 B12 vitamin level -serum concentrations,

pg/mL

 Iron concentration

mg/dL

 Cholesterol

mg/dL

 Triglycerides

mg/dL

 HDL-cholesterol

mg/dL

 LDL-cholesterol

mg/dL

 AST/ALT

UI

 GGT/ alkaline phosphatase

UI

 Bilirrubin

mg/dL

 IgG-, IgA-, IgM

mg/dL

Diagnosis

 GCase activity

nmol/mL/h

GBA genotype

NM_000157

Biomarkers

 ChT

nmol/mL/h

CHIT1 genotype NM_0003465

Homozygous

Heterozygous

N

 CCL18/PARC

ng/mL

 GluSph

ng/mL

 Ferritin

mcg/L

Follow-up

(5-25 y)

 Age to start therapy

years

 Type of therapy

ERT

SRT

N

 New bone crisis

Y/N

 Joint replacement

Y/N

 Neoplasia

Y/N

 PD

Y/N

 Other comorbidities

Y/N

  1. S-MRI Spanish magnetic resonance score, DEXA Bone mineral density, GD-DS3 Severity category of GD, WBC white blood cell count, GCase glucocerebrosidase, ChT Chitotriosidase, CCL18/PARC Chemokine ligand 18/Pulmonary and activation-regulated chemokine, GluSph Glucosylsphyngosine, PD Parkinson Disease