Table 1

Demographics

(A) Demographics per diagnosis (patients with multiple diagnoses are included in multiple rows)
DiagnosisPatients with diagnosis at sample 1Patients with diagnosis in total follow-upFemale (%)Mean age ±SDNumber of samples in biobank
Total of all diagnosed patients112312186344.9±16.94607
SLE4845108643.3±14.72726
CLE1431608548.5±16.1410
APS1241438843.5±12.0479
pSS80918951.9±15.4168
RA68726544.6±14.0103
LLD57709341.4±15.2169
MCTD41438333.2±16.991
IIM31318750.2±21.242
SSc30316150.9±13.634
JIA222210018.6±5.333
PMR19195256.8±18.721
UCTD11139139.4±14.520
GPA775746.9±12.57
GCA663361.6±13.06
No diagnosis120212175045.1±17.51324
(B) Demographics per patient group (age is the age at the time the first sample of the patient was collected)
GroupSamples (n)Female (%)Mean age±SD
SLE4838643.3±14.7
Non-IMID2185143.9±17.4
Rest4724646.0±17.3
BBD361*5046.7±14.1
IMID3467846.2±17.6
  • *Sex and age of 2 blood bank donors is unknown.

  • CLE, cutaneous lupus erythematosus; GCA, giant cell arteritis; GPA, granulomatosis with polyangiitis; IIM, Idiopathic inflammatory myositis; JIA, juvenile idiopathic arthritis; LLD, lupus-like disease; MCTD, mixed connective tissue disease; PMR, polymyalgia rheumatica; pSS, (primary) Sjogren’s syndrome; SSc, systemic sclerosis; UCTD, undifferentiated connective tissue disease.