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) |