Association of cohort-corrected peripheral blood concentration of sIL6R (pg/mL) with risk of multiple myeloma, in the pooled study population and by year from blood draw to multiple myeloma diagnosis
sIL6R concentration, pg/mL . | N . | OR (95% CI)* . | P† . | |
---|---|---|---|---|
Case . | Control . | |||
Per SD increase (SD = 10 402.77 pg/mL)‡ | ||||
Pooled population | 469 | 926 | 1.2 (1.1-1.3) | .0005 |
By years, blood draw to multiple myeloma diagnosis | ||||
≤ 3 | 86 | 158 | 1.4 (1.1-1.9) | .01 |
4- NA ≤ 6 | 142 | 287 | 1.4 (1.1-1.7) | .002 |
> 6 | 238 | 457 | 1.0 (0.9-1.2) | .62 |
Per quartile increase§ | ||||
Pooled population | 469 | 926 | ||
Q1 | 100 | 231 | 1.0 (ref) | |
Q2 | 105 | 232 | 1.0 (0.7-1.4) | |
Q3 | 118 | 232 | 1.2 (0.8-1.6) | |
Q4 | 146 | 231 | 1.5 (1.1-2.0) | .01 |
By years, blood draw to multiple myeloma diagnosis | ||||
≤ 3 | 86 | 158 | ||
Q1 | 16 | 47 | 1.0 (ref) | |
Q2 | 12 | 34 | 1.2 (0.4-3.1) | |
Q3 | 25 | 36 | 2.1 (0.9-5.0) | |
Q4 | 33 | 41 | 2.2 (1.0-5.3) | .04 |
4- ≤ 6 | 142 | 287 | ||
Q1 | 29 | 68 | 1.0 (ref) | |
Q2 | 28 | 88 | 0.8 (0.4-1.4) | |
Q3 | 33 | 65 | 1.2 (0.6-2.2) | |
Q4 | 52 | 66 | 1.9 (1.0-3.3) | .01 |
> 6 | 239 | 456 | ||
Q1 | 54 | 109 | 1.0 (ref) | |
Q2 | 65 | 105 | 1.3 (0.8-2.0) | |
Q3 | 59 | 125 | 1.0 (0.6-1.5) | |
Q4 | 61 | 117 | 1.1 (0.7-1.7) | .96 |
sIL6R concentration, pg/mL . | N . | OR (95% CI)* . | P† . | |
---|---|---|---|---|
Case . | Control . | |||
Per SD increase (SD = 10 402.77 pg/mL)‡ | ||||
Pooled population | 469 | 926 | 1.2 (1.1-1.3) | .0005 |
By years, blood draw to multiple myeloma diagnosis | ||||
≤ 3 | 86 | 158 | 1.4 (1.1-1.9) | .01 |
4- NA ≤ 6 | 142 | 287 | 1.4 (1.1-1.7) | .002 |
> 6 | 238 | 457 | 1.0 (0.9-1.2) | .62 |
Per quartile increase§ | ||||
Pooled population | 469 | 926 | ||
Q1 | 100 | 231 | 1.0 (ref) | |
Q2 | 105 | 232 | 1.0 (0.7-1.4) | |
Q3 | 118 | 232 | 1.2 (0.8-1.6) | |
Q4 | 146 | 231 | 1.5 (1.1-2.0) | .01 |
By years, blood draw to multiple myeloma diagnosis | ||||
≤ 3 | 86 | 158 | ||
Q1 | 16 | 47 | 1.0 (ref) | |
Q2 | 12 | 34 | 1.2 (0.4-3.1) | |
Q3 | 25 | 36 | 2.1 (0.9-5.0) | |
Q4 | 33 | 41 | 2.2 (1.0-5.3) | .04 |
4- ≤ 6 | 142 | 287 | ||
Q1 | 29 | 68 | 1.0 (ref) | |
Q2 | 28 | 88 | 0.8 (0.4-1.4) | |
Q3 | 33 | 65 | 1.2 (0.6-2.2) | |
Q4 | 52 | 66 | 1.9 (1.0-3.3) | .01 |
> 6 | 239 | 456 | ||
Q1 | 54 | 109 | 1.0 (ref) | |
Q2 | 65 | 105 | 1.3 (0.8-2.0) | |
Q3 | 59 | 125 | 1.0 (0.6-1.5) | |
Q4 | 61 | 117 | 1.1 (0.7-1.7) | .96 |
ORs and CIs were calculated in conditional logistic regression models that were stratified on matched set and further adjusted for BMI at blood draw (kg/m2). Persons with outlier sIL6R values (ie, cohort-corrected levels > 88 888.83 pg/mL) and those with missing BMI data were excluded.
The P values associated with the per-SD ORs and CIs are Wald P values estimated in the corresponding conditional logistical regression models. The P values associated with the quartile-based results are from trend tests performed in conditional logistic regression models that were identical to those run for the quartile variables (ie, stratified on matched set and further adjusted for BMI at blood draw; kg/m2). Persons with outlier values and those with missing BMI data were excluded.
The SD was obtained from the distribution of cohort-corrected values in the pooled controls.
Quartile of sIL6R level was determined from the distribution of cohort-corrected values among the pooled controls.