Table 2.
All the clinical and baseline variables available for describing the “BO dataset” were included in this study
| variable | 1q&13+ (n) | n/N | Median | IQR | 1q/13 (n) | n/N | Median | IQR | 1q&13- (n) | n/N | Median | IQR | P value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | 63 | 48% | – | – | 95 | 56% | – | – | 144 | 68% | – | – | 0.0008 |
| Female | 68 | 52% | – | – | 75 | 44% | – | – | 68 | 32% | – | – | 0.0008 |
| Age, years | 130 | 99% | 57 | 51–63 | 170 | 100% | 58 | 52–63 | 212 | 100% | 59 | 54–63 | ns |
| Age >65 years | 11 | 8% | – | – | 10 | 6% | – | – | 21 | 10% | – | – | ns |
| Beta 2 microglobulin, mg/L | 127 | 97% | 3.8 | 2.75–6.15 | 166 | 98% | 3.75 | 2.48–5.2 | 212 | 100% | 3.27 | 2.4–5 | ns |
| Beta 2 microglobulin <3.5 mg/L | 60 | 47% | – | – | 79 | 47% | – | – | 116 | 55% | – | – | ns |
| Beta 2 microglobulin >5.5 mg/L | 37 | 29% | – | – | 38 | 23% | – | – | 42 | 20% | – | – | ns |
| Albumine, g/dL | 128 | 98% | 3.63 | 3.1–4.03 | 169 | 99% | 3.9 | 3.55–4.2 | 207 | 98% | 3.9 | 3.4–4.2 | 0.0004 |
| Albumine <3.5 g/dL | 52 | 41% | – | – | 40 | 24% | – | – | 55 | 27% | – | – | 0.0044 |
| Creatinine, mg/dL | 128 | 98% | 0.9 | 0.71–1.192 | 170 | 100% | 0.9 | 0.77–1.15 | 211 | 99% | 0.9 | 0.75–1.1 | ns |
| Haemoglobin, g/dL | 130 | 99% | 10.1 | 9.005–11.4 | 170 | 100% | 10.95 | 9.6–12.38 | 212 | 100% | 11.3 | 9.9–12.6 | <0.0001 |
| Haemoglobin <10.5 g/dL | 75 | 58% | – | – | 73 | 43% | – | – | 70 | 33% | – | – | <0.0001 |
| Platelet count, 10^3/mL | 130 | 99% | 200.5 | 159.25–244.5 | 170 | 100% | 229.5 | 187–291.8 | 211 | 99% | 242 | 187–298 | <0.0001 |
| Platelet count <150 10^3/mL | 30 | 23% | – | – | 21 | 12% | – | – | 18 | 9% | – | – | 0.0009 |
| Lactate dehydrogenase, g/dL | 122 | 93% | 450 | 225–480 | 159 | 94% | 312 | 225–477 | 195 | 92% | 441 | 225–480 | ns |
| LDH, Upper Limit | 44 | 48% | – | – | 56 | 44% | – | – | 55 | 38% | – | – | ns |
| Bone marrow plasma cells >60% | 74 | 60% | – | – | 83 | 52% | – | – | 111 | 56% | – | – | ns |
| IG Isotype IgG | 71 | 57% | – | – | 89 | 56% | – | – | 146 | 70% | – | – | 0.008 |
| IG Isotype IgA | 36 | 29% | – | – | 34 | 22% | – | – | 30 | 14% | – | – | 0.006 |
| IG Isotype BJ | 16 | 13% | – | – | 30 | 19% | – | – | 32 | 15% | – | – | ns |
| Light Chain Kappa | 22 | 65% | – | – | 22 | 52% | – | – | 37 | 69% | – | – | ns |
| Light Chain Lambda | 12 | 35% | – | – | 20 | 48% | – | – | 17 | 31% | – | – | ns |
| ISS I | 37 | 29% | – | – | 62 | 37% | – | – | 93 | 44% | – | – | 0.02 |
| ISS II | 50 | 39% | – | – | 65 | 39% | – | – | 76 | 36% | – | – | ns |
| ISS III | 41 | 32% | – | – | 39 | 23% | – | – | 43 | 20% | – | – | 0.05 |
| R-ISS I | 6 | 6% | – | – | 24 | 18% | – | – | 34 | 22% | – | – | 0.0009 |
| R-ISS II | 72 | 69% | – | – | 90 | 69% | – | – | 107 | 68% | – | – | ns |
| R-ISS III | 27 | 26% | – | – | 16 | 12% | – | – | 16 | 10% | – | – | 0.002 |
| t(4,14) | 43 | 34% | – | – | 24 | 14% | – | – | 23 | 12% | – | – | <0.0001 |
| t(6,14) | 1 | 1% | – | – | 1 | 1% | – | – | 1 | 1% | – | – | ns |
| t(11,14) | 11 | 9% | – | – | 36 | 26% | – | – | 34 | 21% | – | – | 0.0016 |
| t(14,16) | 14 | 12% | – | – | 6 | 4% | – | – | 2 | 1% | – | – | 0.0003 |
| t(14,20) | 4 | 3% | – | – | 2 | 1% | – | – | 1 | 1% | – | – | ns |
| FISH Deletion 13 | 111 | 92% | – | – | 97 | 65% | – | – | 14 | 7% | – | – | <0.0001 |
| FISH Deletion 17p | 22 | 17% | – | – | 20 | 13% | – | – | 14 | 7% | – | – | 0.02 |
| FISH Deletion 1p36 | 25 | 23% | – | – | 14 | 10% | – | – | 15 | 9% | – | – | 0.004 |
| FISH Amplification 1q | 109 | 91% | – | – | 50 | 34% | – | – | 9 | 5% | – | – | <0.0001 |
| FISH Hyperdiploidy | 37 | 35% | – | – | 48 | 34% | – | – | 93 | 60% | – | – | <0.0001 |
| Induction (PI) | 102 | 78% | – | – | 131 | 77% | – | – | 159 | 75% | – | – | ns |
| Induction (Imid) | 5 | 4% | – | – | 11 | 6% | – | – | 18 | 8% | – | – | ns |
| Induction (PI - Imid) | 22 | 17% | – | – | 27 | 16% | – | – | 33 | 16% | – | – | ns |
| Induction (Other) | 1 | 1% | – | – | 1 | 1% | – | – | 2 | 1% | – | – | ns |
| ASCT | 70 | 62% | – | – | 116 | 72% | – | – | 128 | 65% | – | – | ns |
| Single ASCT | 32 | 28% | – | – | 46 | 28% | – | – | 60 | 30% | – | – | ns |
| Double ASCT | 38 | 34% | – | – | 70 | 43% | – | – | 68 | 35% | – | – | ns |
| Maintenance | 79 | 73% | – | – | 123 | 80% | – | – | 146 | 78% | – | – | ns |
| Consolidation | 42 | 39% | – | – | 75 | 49% | – | – | 84 | 45% | – | – | ns |
The number and percentage of patients’ data available for any given variable, along with the median value and inter-quartile range (IQR) are shown here, broken down for each of the three subgroups of the 1q&13 classification that compose the dataset (“1q&13 + ”, “1q/13” and “1q&13-”). For categorical variables, two-sided Fisher’s Exact test p values were computed, and for continuous variables, two-sided Wilcoxon-Mann-Whitney test p values were computed.