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) |