Characteristics of adults, aged 18 to 99 years, diagnosed with AML, National Cancer Registration Dataset 2013-2020
| . | IT (n = 4971) . | NIT (n = 2388) . | IU (n = 547) . | Documented SACT (total of IT, NIT, and IU) (n = 7906) . | No documented SACT (n = 9201) . | Total (n = 17 107) . |
|---|---|---|---|---|---|---|
| Median age at diagnosis, y (IQR) | 59 (48-67) | 76 (71-80) | 72 (62-78) | 66 (54-74) | 77 (68-84) | 72 (61-81) |
| Mean age at diagnosis, y (SD) | 56.0 (14.5) | 74.8 (8.6) | 68.5 (15.2) | 62.6 (15.7) | 74.3 (14.2) | 68.9 (16.0) |
| Age at diagnosis, y | ||||||
| 18-54 | 1914 (38.5%) | 61 (2.6%) | 84 (15.4%) | 2059 (26.0%) | 893 (9.7%) | 2952 (17.3%) |
| 55-64 | 1341 (27.0%) | 141 (5.9%) | 76 (13.9%) | 1558 (19.7%) | 863 (9.4%) | 2421 (14.2%) |
| 65-74 | 1489 (30.0%) | 831 (34.8%) | 149 (27.2%) | 2469 (31.2%) | 2012 (21.9%) | 4481 (26.2%) |
| 75-84 | 218 (4.4%) | 1150 (48.2%) | 194 (35.5%) | 1562 (19.8%) | 3270 (35.5%) | 4832 (28.2%) |
| 85-99 | 9 (0.2%) | 205 (8.6%) | 44 (8.0%) | 258 (3.3%) | 2163 (23.5%) | 2421 (14.2%) |
| Sex | ||||||
| Female | 2231 (44.9%) | 945 (39.6%) | 242 (44.2%) | 3418 (43.2%) | 4066 (44.2%) | 7484 (43.7%) |
| Male | 2740 (55.1%) | 1443 (60.4%) | 305 (55.8%) | 4488 (56.8%) | 5135 (55.8%) | 9 623 (56.3%) |
| Ethnicity | ||||||
| White | 4253 (85.6%) | 2199 (92.1%) | 496 (90.7%) | 6948 (87.9%) | 8247 (89.6%) | 15 195 (88.8%) |
| Asian | 230 (4.6%) | 44 (1.8%) | 15 (2.7%) | 289 (3.7%) | 231 (2.5%) | 520 (3.0%) |
| Black | 126 (2.5%) | 32 (1.3%) | 11 (2.0%) | 169 (2.1%) | 139 (1.5%) | 308 (1.8%) |
| Mixed/other | 204 (4.1%) | 31 (1.3%) | 7 (1.3%) | 242 (3.1%) | 118 (1.3%) | 360 (2.1%) |
| Unknown | 158 (3.2%) | 82 (3.4%) | 18 (3.3%) | 258 (3.3%) | 466 (5.1%) | 724 (4.2%) |
| IMD quintile | ||||||
| 1 (least deprived) | 1045 (21.0%) | 576 (24.1%) | 146 (26.7%) | 1767 (22.4%) | 1980 (21.5%) | 3 747 (21.9%) |
| 2 | 1063 (21.4%) | 552 (23.1%) | 118 (21.6%) | 1733 (21.9%) | 2005 (21.8%) | 3 738 (21.9%) |
| 3 | 1025 (20.6%) | 487 (20.4%) | 109 (19.9%) | 1621 (20.5%) | 1957 (21.3%) | 3 578 (20.9%) |
| 4 | 956 (19.2%) | 438 (18.3%) | 91 (16.6%) | 1485 (18.8%) | 1766 (19.2%) | 3 251 (19.0%) |
| 5 (most deprived) | 882 (17.7%) | 335 (14.0%) | 83 (15.2%) | 1300 (16.4%) | 1493 (16.2%) | 2 793 (16.3%) |
| Comorbidity (total Charlson score) | ||||||
| 0 | 4416 (88.8%) | 1711 (71.6%) | 439 (80.3%) | 6566 (83.1%) | 6344 (68.9%) | 12 910 (75.5%) |
| 1 | 316 (6.4%) | 289 (12.1%) | 55 (10.1%) | 660 (8.3%) | 1154 (12.5%) | 1 814 (10.6%) |
| 2 | 160 (3.2%) | 189 (7.9%) | 24 (4.4%) | 373 (4.7%) | 822 (8.9%) | 1 195 (7.0%) |
| ≥3 | 79 (1.6%) | 199 (8.3%) | 29 (5.3%) | 307 (3.9%) | 881 (9.6%) | 1 188 (6.9%) |
| Year of diagnosis | ||||||
| 2013 | 446 (9.0%) | 153 (6.4%) | 107 (19.6%) | 706 (8.9%) | 1467 (15.9%) | 2 173 (12.7%) |
| 2014 | 572 (11.5%) | 198 (8.3%) | 71 (13.0%) | 841 (10.6%) | 1322 (14.4%) | 2 163 (12.6%) |
| 2015 | 624 (12.6%) | 256 (10.7%) | 58 (10.6%) | 938 (11.9%) | 1272 (13.8%) | 2 210 (12.9%) |
| 2016 | 619 (12.5%) | 291 (12.2%) | 49 (9.0%) | 959 (12.1%) | 1167 (12.7%) | 2 126 (12.4%) |
| 2017 | 656 (13.2%) | 347 (14.5%) | 54 (9.9%) | 1057 (13.4%) | 1097 (11.9%) | 2 154 (12.6%) |
| 2018 | 714 (14.4%) | 361 (15.1%) | 25 (4.6%) | 1100 (13.9%) | 1000 (10.9%) | 2 100 (12.3%) |
| 2019 | 735 (14.8%) | 351 (14.7%) | 55 (10.1%) | 1141 (14.4%) | 954 (10.4%) | 2 095 (12.2%) |
| 2020 | 605 (12.2%) | 431 (18.0%) | 128 (23.4%) | 1164 (14.7%) | 922 (10.0%) | 2 086 (12.2%) |
| ECOG PS score∗ | ||||||
| 0 | 1802 (36.3%) | 487 (20.4%) | 90 (16.5%) | 2379 (30.1%) | ||
| 1 | 1085 (21.8%) | 841 (35.2%) | 148 (27.1%) | 2074 (26.2%) | ||
| 2 | 206 (4.1%) | 306 (12.8%) | 33 (6.0%) | 545 (6.9%) | ||
| 3/4 | 99 (2.0%) | 90 (3.8%) | 15 (2.7%) | 204 (2.6%) | ||
| Unknown | 1779 (35.8%) | 664 (27.8%) | 261 (47.7%) | 2704 (34.2%) | ||
| BMI∗ | ||||||
| Underweight (<18.5 kg/m2) | 96 (1.9%) | 47 (2.0%) | 11 (2.0%) | 154 (1.9%) | ||
| Normal weight (18.5 to <25.0 kg/m2) | 1501 (30.2%) | 596 (25.0%) | 109 (19.9%) | 2206 (27.9%) | ||
| Overweight (25.0 to <30.0 kg/m2) | 1586 (31.9%) | 654 (27.4%) | 138 (25.2%) | 2378 (30.1%) | ||
| Obese (≥30.0 kg/m2) | 1236 (24.9%) | 497 (20.8%) | 79 (14.4%) | 1812 (22.9%) | ||
| Unknown | 552 (11.1%) | 594 (24.9%) | 210 (38.4%) | 1356 (17.2%) |
| . | IT (n = 4971) . | NIT (n = 2388) . | IU (n = 547) . | Documented SACT (total of IT, NIT, and IU) (n = 7906) . | No documented SACT (n = 9201) . | Total (n = 17 107) . |
|---|---|---|---|---|---|---|
| Median age at diagnosis, y (IQR) | 59 (48-67) | 76 (71-80) | 72 (62-78) | 66 (54-74) | 77 (68-84) | 72 (61-81) |
| Mean age at diagnosis, y (SD) | 56.0 (14.5) | 74.8 (8.6) | 68.5 (15.2) | 62.6 (15.7) | 74.3 (14.2) | 68.9 (16.0) |
| Age at diagnosis, y | ||||||
| 18-54 | 1914 (38.5%) | 61 (2.6%) | 84 (15.4%) | 2059 (26.0%) | 893 (9.7%) | 2952 (17.3%) |
| 55-64 | 1341 (27.0%) | 141 (5.9%) | 76 (13.9%) | 1558 (19.7%) | 863 (9.4%) | 2421 (14.2%) |
| 65-74 | 1489 (30.0%) | 831 (34.8%) | 149 (27.2%) | 2469 (31.2%) | 2012 (21.9%) | 4481 (26.2%) |
| 75-84 | 218 (4.4%) | 1150 (48.2%) | 194 (35.5%) | 1562 (19.8%) | 3270 (35.5%) | 4832 (28.2%) |
| 85-99 | 9 (0.2%) | 205 (8.6%) | 44 (8.0%) | 258 (3.3%) | 2163 (23.5%) | 2421 (14.2%) |
| Sex | ||||||
| Female | 2231 (44.9%) | 945 (39.6%) | 242 (44.2%) | 3418 (43.2%) | 4066 (44.2%) | 7484 (43.7%) |
| Male | 2740 (55.1%) | 1443 (60.4%) | 305 (55.8%) | 4488 (56.8%) | 5135 (55.8%) | 9 623 (56.3%) |
| Ethnicity | ||||||
| White | 4253 (85.6%) | 2199 (92.1%) | 496 (90.7%) | 6948 (87.9%) | 8247 (89.6%) | 15 195 (88.8%) |
| Asian | 230 (4.6%) | 44 (1.8%) | 15 (2.7%) | 289 (3.7%) | 231 (2.5%) | 520 (3.0%) |
| Black | 126 (2.5%) | 32 (1.3%) | 11 (2.0%) | 169 (2.1%) | 139 (1.5%) | 308 (1.8%) |
| Mixed/other | 204 (4.1%) | 31 (1.3%) | 7 (1.3%) | 242 (3.1%) | 118 (1.3%) | 360 (2.1%) |
| Unknown | 158 (3.2%) | 82 (3.4%) | 18 (3.3%) | 258 (3.3%) | 466 (5.1%) | 724 (4.2%) |
| IMD quintile | ||||||
| 1 (least deprived) | 1045 (21.0%) | 576 (24.1%) | 146 (26.7%) | 1767 (22.4%) | 1980 (21.5%) | 3 747 (21.9%) |
| 2 | 1063 (21.4%) | 552 (23.1%) | 118 (21.6%) | 1733 (21.9%) | 2005 (21.8%) | 3 738 (21.9%) |
| 3 | 1025 (20.6%) | 487 (20.4%) | 109 (19.9%) | 1621 (20.5%) | 1957 (21.3%) | 3 578 (20.9%) |
| 4 | 956 (19.2%) | 438 (18.3%) | 91 (16.6%) | 1485 (18.8%) | 1766 (19.2%) | 3 251 (19.0%) |
| 5 (most deprived) | 882 (17.7%) | 335 (14.0%) | 83 (15.2%) | 1300 (16.4%) | 1493 (16.2%) | 2 793 (16.3%) |
| Comorbidity (total Charlson score) | ||||||
| 0 | 4416 (88.8%) | 1711 (71.6%) | 439 (80.3%) | 6566 (83.1%) | 6344 (68.9%) | 12 910 (75.5%) |
| 1 | 316 (6.4%) | 289 (12.1%) | 55 (10.1%) | 660 (8.3%) | 1154 (12.5%) | 1 814 (10.6%) |
| 2 | 160 (3.2%) | 189 (7.9%) | 24 (4.4%) | 373 (4.7%) | 822 (8.9%) | 1 195 (7.0%) |
| ≥3 | 79 (1.6%) | 199 (8.3%) | 29 (5.3%) | 307 (3.9%) | 881 (9.6%) | 1 188 (6.9%) |
| Year of diagnosis | ||||||
| 2013 | 446 (9.0%) | 153 (6.4%) | 107 (19.6%) | 706 (8.9%) | 1467 (15.9%) | 2 173 (12.7%) |
| 2014 | 572 (11.5%) | 198 (8.3%) | 71 (13.0%) | 841 (10.6%) | 1322 (14.4%) | 2 163 (12.6%) |
| 2015 | 624 (12.6%) | 256 (10.7%) | 58 (10.6%) | 938 (11.9%) | 1272 (13.8%) | 2 210 (12.9%) |
| 2016 | 619 (12.5%) | 291 (12.2%) | 49 (9.0%) | 959 (12.1%) | 1167 (12.7%) | 2 126 (12.4%) |
| 2017 | 656 (13.2%) | 347 (14.5%) | 54 (9.9%) | 1057 (13.4%) | 1097 (11.9%) | 2 154 (12.6%) |
| 2018 | 714 (14.4%) | 361 (15.1%) | 25 (4.6%) | 1100 (13.9%) | 1000 (10.9%) | 2 100 (12.3%) |
| 2019 | 735 (14.8%) | 351 (14.7%) | 55 (10.1%) | 1141 (14.4%) | 954 (10.4%) | 2 095 (12.2%) |
| 2020 | 605 (12.2%) | 431 (18.0%) | 128 (23.4%) | 1164 (14.7%) | 922 (10.0%) | 2 086 (12.2%) |
| ECOG PS score∗ | ||||||
| 0 | 1802 (36.3%) | 487 (20.4%) | 90 (16.5%) | 2379 (30.1%) | ||
| 1 | 1085 (21.8%) | 841 (35.2%) | 148 (27.1%) | 2074 (26.2%) | ||
| 2 | 206 (4.1%) | 306 (12.8%) | 33 (6.0%) | 545 (6.9%) | ||
| 3/4 | 99 (2.0%) | 90 (3.8%) | 15 (2.7%) | 204 (2.6%) | ||
| Unknown | 1779 (35.8%) | 664 (27.8%) | 261 (47.7%) | 2704 (34.2%) | ||
| BMI∗ | ||||||
| Underweight (<18.5 kg/m2) | 96 (1.9%) | 47 (2.0%) | 11 (2.0%) | 154 (1.9%) | ||
| Normal weight (18.5 to <25.0 kg/m2) | 1501 (30.2%) | 596 (25.0%) | 109 (19.9%) | 2206 (27.9%) | ||
| Overweight (25.0 to <30.0 kg/m2) | 1586 (31.9%) | 654 (27.4%) | 138 (25.2%) | 2378 (30.1%) | ||
| Obese (≥30.0 kg/m2) | 1236 (24.9%) | 497 (20.8%) | 79 (14.4%) | 1812 (22.9%) | ||
| Unknown | 552 (11.1%) | 594 (24.9%) | 210 (38.4%) | 1356 (17.2%) |
Data are n (%).
IQR, interquartile range.
PS and BMI data were collected at the start of a regimen and were only available for patients documented as receiving SACT.