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Table 1 Characteristics of the patients with multiple myeloma

From: Education level as a predictor of survival in patients with multiple myeloma

  N = 773
Variables N (%)
Sex
 Male 440 (56.9)
 Female 333 (43.1)
Age
 < 60 412 (53.3)
 ≥ 60 361 (46.7)
Smoking
 Yes 218 (28.2)
 No 555 (71.8)
Marital status
 Married 742 (96.0)
 Unmarried 9 (1.2)
 Divorced 13 (1.7)
 Widowed 9 (1.1)
Residential area
 Urban 552 (71.4)
 Rural 221 (28.6)
Distance to hospital
 In the same province 668 (86.4)
 In a different province 105 (13.6)
Education level
 Low education level 535 (69.2)
 High education level 226 (29.2)
 Unknown 12 (1.6)
Occupational status
 Employed 144 (18.6)
 Unemployed 605 (78.3)
 Unknown 24 (3.1)
Average annual income
 ≤ $42,500 USD 595 (77.0)
 > $42,500 USD 117 (15.1)
 Unknown 61 (7.9)
Insurance status
 Any insurance 174 (22.5)
 No insurance 536 (69.3)
 Unknown 63 (8.2)
Initial symptoms
 Bone pain 508 (65.7)
 Anemia 118 (15.3)
 Infection 34 (4.4)
 Anesthesia 11 (1.4)
 Renal insufficiency 47 (6.1)
 Others 55 (7.1)
Comorbidity
 None 274 (35.5)
 Cardiovascular disease and/or metabolic syndrome 298 (38.5)
 Other tumors 36 (4.7)
 Other 198 (25.6)
Time to diagnosis
 ≤1 month 181 (23.4)
 > 1 month 592 (76.6)
ISS stage
 I/II 531 (68.7)
 III 226 (29.2)
 Unknown 16 (2.1)
LDH level
 <  240 U/L 565 (73.1)
 ≥240 U/L 144 (18.6)
 Unknown 64 (8.3)
Cytogenetic abnormality by FISH
 High risk 136 (17.6)
 Standard risk 429 (55.5)
 Unknown 208 (26.9)
Receipt of transplant
 Yes 283 (36.6)
 No 490 (63.4)
Regular treatment
 Yes 524 (67.8)
 No 249 (32.2)
  1. ISS international staging system, LDH lactate dehydrogenase, FISH fluorescence in situ hybridization