| Literature DB >> 31668592 |
Mark T Drayson1, Stella Bowcock2, Tim Planche3, Gulnaz Iqbal4, Guy Pratt5, Kwee Yong6, Jill Wood4, Kerry Raynes4, Helen Higgins4, Bryony Dawkins7, David Meads7, Claire T Hulme7, Irene Monahan3, Kamaraj Karunanithi8, Helen Dignum9, Edward Belsham9, Jeff Neilson10, Beth Harrison11, Anand Lokare11, Gavin Campbell12, Michael Hamblin12, Peter Hawkey13, Anna C Whittaker14, Eric Low15, Janet A Dunn4.
Abstract
BACKGROUND: Myeloma causes profound immunodeficiency and recurrent, serious infections. Around 5500 new cases of myeloma are diagnosed per year in the UK, and a quarter of patients will have a serious infection within 3 months of diagnosis. We aimed to assess whether patients newly diagnosed with myeloma benefit from antibiotic prophylaxis to prevent infection, and to investigate the effect on antibiotic-resistant organism carriage and health care-associated infections in patients with newly diagnosed myeloma.Entities:
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Year: 2019 PMID: 31668592 PMCID: PMC6891230 DOI: 10.1016/S1470-2045(19)30506-6
Source DB: PubMed Journal: Lancet Oncol ISSN: 1470-2045 Impact factor: 41.316
Figure 1Trial profile
Patient characteristics
| Age (years) | 67 (59–75) | 67 (61–75) | |
| Sex | |||
| Male | 316 (65%) | 295 (60%) | |
| Female | 173 (35%) | 193 (40%) | |
| Ethnicity | |||
| White | 452 (92%) | 437 (90%) | |
| Mixed | 1 (<1%) | 2 (<1%) | |
| Asian or British Asian | 10 (2%) | 17 (3%) | |
| Black or Black British | 26 (5%) | 28 (6%) | |
| Chinese or other | 0 | 1 (<1%) | |
| Missing | 0 | 3 (1%) | |
| Performance status at randomisation | |||
| 0 | 164 (34%) | 173 (35%) | |
| 1 | 209 (43%) | 188 (39%) | |
| 2 | 80 (16%) | 76 (16%) | |
| 3 | 24 (5%) | 36 (7%) | |
| 4 | 2 (<1%) | 5 (1%) | |
| Missing | 10 (2%) | 10 (2%) | |
| International Staging System | |||
| Stage I | 100 (20%) | 116 (24%) | |
| Stage II | 188 (38%) | 165 (34%) | |
| Stage III | 121 (25%) | 130 (27%) | |
| Missing | 80 (16%) | 77 (16%) | |
| Estimated glomerular filtration rate (mL/min) | |||
| >50 | 369 (75%) | 369 (76%) | |
| 20–50 | 95 (19%) | 93 (19%) | |
| <20 | 25 (5%) | 26 (5%) | |
| High-dose CT with planned autologous stem cell transplantation | |||
| No | 223 (46%) | 222 (45%) | |
| Yes | 266 (54%) | 266 (55%) | |
| Previous infection | |||
| 2 (<1%) | 1 (<1%) | ||
| Meticillin-resistant | 6 (1%) | 7 (1%) | |
| Extended-spectrum β-lactamase coliforms | 3 (1%) | 5 (1%) | |
| Anti-infectives in previous month | |||
| No | 332 (68%) | 331 (68%) | |
| Yes | 75 (15%) | 76 (16%) | |
| Missing | 82 (17%) | 81 (17%) | |
| Steroids 14 days before randomisation | |||
| Yes | 248 (51%) | 246 (50%) | |
| Corticosteroids | |||
| Prednisolone | 24 (5%) | 18 (4%) | |
| Dexamethasone | 226 (46%) | 229 (47%) | |
| Other | .. | 2 (<1%) | |
| Planned anti-myeloma treatment | |||
| Thalidomide-based | 208 (43%) | 216 (44%) | |
| Bortezomib-based | 152 (31%) | 150 (31%) | |
| Lenalidomide-based | 72 (15%) | 69 (14%) | |
| Lenalidomide and carfilzomib-based | 50 (10%) | 43 (9%) | |
| Other | 7 (1%) | 10 (2%) | |
| Bisphosphonate status at randomisation | |||
| Not given | 68 (14%) | 60 (12%) | |
| Given or will be given | 419 (86%) | 419 (86%) | |
| Missing | 2 (<1%) | 9 (2%) | |
| Bisphosphonate | |||
| Zolendronate | 284 (68%) | 280 (67%) | |
| Pamidronate | 111 (26%) | 105 (25%) | |
| Clodronate | 14 (3%) | 23 (5%) | |
| Other | 3 (1%) | 7 (2%) | |
| Missing | 7 (2%) | 4 (1%) | |
| Prophylactic antiviral or antifungal | |||
| No | 170 (35%) | 166 (34%) | |
| Yes | 237 (48%) | 240 (49%) | |
| Missing | 82 (17%) | 82 (17%) | |
| Corrected calcium (μmol/L) | |||
| <2·50 | 340 (69%) | 354 (73%) | |
| 2·50–2·75 | 102 (21%) | 95 (19%) | |
| >2·75 | 29 (6%) | 25 (5%) | |
| Missing | 18 (4%) | 14 (3%) | |
| Evidence of bone disease | |||
| Yes | 338 (69%) | 351 (72%) | |
| Site of bone disease | |||
| Vertebral fracture or collapse | 118 (24%) | 144 (30%) | |
| Lytic lesions | 234 (48%) | 246 (50%) | |
| Fractured rib | 33 (7%) | 24 (5%) | |
| Osteoporosis | 38 (8%) | 37 (8%) | |
| Other fracture | 43 (9%) | 41 (8%) | |
| Serum β-2-microglobulin (mg/L) | |||
| ≤4 | 189 (39%) | 192 (39%) | |
| 4–8 | 148 (30%) | 152 (31%) | |
| >8 | 73 (15%) | 67 (14%) | |
| Missing | 79 (16%) | 77 (16%) | |
| Haemoglobin (g/dL) | |||
| <7·5 | 9 (2%) | 13 (3%) | |
| 7·5–10·0 | 163 (33%) | 166 (34%) | |
| >10·0 | 315 (64%) | 306 (63%) | |
| Missing | 2 (<1%) | 3 (1%) | |
| Platelets (× 109/L) | |||
| ≤150 | 69 (14%) | 79 (16%) | |
| >150 | 418 (85%) | 405 (83%) | |
| Missing | 2 (<1%) | 4 (1%) | |
| Neutrophils (× 109/L) | |||
| <1·8 | 35 (7%) | 55 (11%) | |
| 1·8–3·0 | 138 (28%) | 133 (27%) | |
| >3·0 | 312 (64%) | 296 (61%) | |
| Missing | 4 (1%) | 4 (1%) | |
| Lymphocytes (×109/L) | |||
| <1·2 | 143 (29%) | 147 (30%) | |
| 1·2–1·8 | 165 (34%) | 170 (35%) | |
| >1·8 | 177 (36%) | 167 (34%) | |
| Missing | 4 (1%) | 4 (1%) | |
| Serum creatinine (μmol/L) | |||
| <130 | 387 (79%) | 384 (79%) | |
| 130–199 | 57 (12%) | 54 (11%) | |
| >199 | 42 (9%) | 43 (9%) | |
| Missing | 3 (1%) | 7 (1%) | |
Data are median (IQR) or n (%).
Treatment-related serious adverse events
| Grade 1–2 (n=37) | Grade 3 (n=26) | Grade 4 (n=8) | Grade 1–2 (n=17) | Grade 3 (n=14) | Grade 4 (n=3) | |
|---|---|---|---|---|---|---|
| Anaemia | 2 (5%) | 2 (8%) | 0 | 0 | 0 | 0 |
| Febrile neutropenia | 0 | 0 | 1 (13%) | 0 | 0 | 0 |
| Atrial fibrillation | 0 | 1 (4%) | 1 (13%) | 0 | 0 | 0 |
| Sinus bradycardia | 1 (3%) | 0 | 0 | 0 | 1 (7%) | 0 |
| Vertigo | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Abdominal distension | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
| Abdominal pain | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Diarrhoea | 3 (8%) | 2 (8%) | 0 | 3 (18%) | 5 (36%) | 0 |
| Nausea | 3 (8%) | 1 (4%) | 0 | 0 | 0 | 0 |
| Gastric obstruction | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Vomiting | 3 (8%) | 1 (4%) | 0 | 0 | 1 (7%) | 0 |
| Other | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Chills | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Fever | 5 (14%) | 0 | 0 | 3 (18%) | 2 (14%) | 0 |
| Allergic reaction | 1 (3%) | 0 | 0 | 0 | 1 (7%) | 0 |
| Bladder infection | 0 | 1 (4) | 0 | 0 | 0 | 0 |
| Infectious enterocolitis | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Lung infection | 0 | 2 (8%) | 0 | 0 | 0 | 0 |
| Pustular rash | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Sepsis | 0 | 0 | 2 (25%) | 0 | 0 | 1 (33%) |
| Small intestine infection | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
| Vascular access complication | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
| Increased alanine aminotransferase | 0 | 1 (4%) | 0 | 0 | 1 (7%) | 0 |
| Increased creatinine | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Decreased neutrophil count | 0 | 0 | 1 (13%) | 0 | 0 | 0 |
| Anorexia | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Dehydration | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Hypernatraemia | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Hyponatraemia | 0 | 0 | 1 (13%) | 0 | 0 | 0 |
| Chest wall pain | 0 | 0 | 0 | 0 | 1 (7%) | 0 |
| Myalgia | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Neck pain | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Extremity pain | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Tendonitis | 3 (8%) | 2 (8%) | 0 | 0 | 0 | 0 |
| Other | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
| Dizziness | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Peripheral sensory neuropathy | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Vasovagal reaction | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
| Confusion | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Delirium | 0 | 0 | 1 (13%) | 0 | 0 | 0 |
| Acute kidney injury | 3 (8%) | 0 | 1 (13%) | 1 (6%) | 0 | 1 (33%) |
| Chronic kidney disease | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
| Hypoxia | 0 | 0 | 0 | 0 | 1 (7%) | 0 |
| Erythroderma | 0 | 0 | 0 | 0 | 1 (7%) | 0 |
| Pruritus | 1 (3%) | 0 | 0 | 0 | 0 | 0 |
| Maculopapular rash | 2 (5%) | 4 (15%) | 0 | 1 (6%) | 0 | 0 |
| Skin ulceration | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Stevens-Johnson syndrome | 0 | 0 | 0 | 0 | 0 | 1 (33%) |
| Other | 0 | 2 (8%) | 0 | 0 | 0 | 0 |
| Missing | 0 | 0 | 0 | 1 (6%) | 0 | 0 |
| Hypotension | 0 | 1 (4%) | 0 | 0 | 0 | 0 |
Data are n (%; for each column denominator).
Figure 2Kaplan-Meier graph of time to febrile episode or death
Figure 3Forest plots of time to febrile episode or death in various subgroups
ECOG=Eastern Cooperative Oncology Group. HR=hazard ratio.
Disease status and evidence of infection at time of death
| Disease status at death | |||
| Myeloma in remission or responding | 2/8 (25%) | 10/22 (45%) | |
| Myeloma active—progressing | 2/8 (25%) | 5/22 (23%) | |
| Myeloma active—unknown | 4/8 (50%) | 7/22 (32%) | |
| Evidence of infection | |||
| No | 5/8 (63%) | 14/22 (64%) | |
| Yes | 3/8 (37%) | 8/22 (36%) | |
| Disease status at death | |||
| Myeloma in remission or responding | 5/32 (16%) | 7/17 (41%) | |
| Myeloma active—progressing | 27/32 (84%) | 10/17 (59%) | |
| Evidence of infection | |||
| No | 20/32 (63%) | 10/17 (59%) | |
| Yes | 12/32 (37%) | 7/17 (41%) | |
| Disease status at death | |||
| Myeloma in remission or responding | 7/40 (17%) | 17/39 (44%) | |
| Myeloma active—progressing | 29/40 (73%) | 15/39 (38%) | |
| Myeloma active—unknown | 4/40 (10%) | 7/39 (18%) | |
| Evidence of infection | |||
| No | 25/40 (63%) | 24/39 (62%) | |
| Yes | 15/40 (37%) | 15/39 (38%) | |
Data are n/N (%).
Acquisition of carriage of Clostridium difficile, ESBL, and MRSA organisms
| ESBL | MRSA | ESBL | MRSA | |||
|---|---|---|---|---|---|---|
| Present at baseline (785 stool, 928 nasal samples) | 1 | 19 | 5 | 5 | 37 | 9 |
| Week 4 (706 stool, 805 nasal samples) | 4 | 8 | 0 | 3 | 11 | 4 |
| Week 8 (662 stool, 759 nasal samples) | 0 | 5 | 1 | 2 | 7 | 1 |
| Week 12 (634 stool, 719 nasal samples) | 3 | 3 | 1 | 2 | 7 | 2 |
| Week 16 (593 stool, 650 nasal samples) | 4 | 9 | 2 | 1 | 5 | 0 |
| Total new acquisitions (2595 stool, 2933 nasal samples) | 11 | 25 | 4 | 8 | 30 | 7 |
ESBL=extended-spectrum β-lactamase. MRSA=methicillin-resistant Staphylococcus aureus.