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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