The Importance of Real-World Data in Evaluating the Safety of Biosimilars: A Descriptive Study of Clinical Practice in an Oncohematological Italian Population
Abstract
:Simple Summary
Abstract
1. Introduction
2. Objective
3. Methods
3.1. Study Population
3.2. Data Collection
3.3. Clinical Outcomes
3.4. Statistical Analysis
4. Results
4.1. Rituximab Treatment
All Patients | n. RTX Infusions | Schedule * | ||||
---|---|---|---|---|---|---|
Mean ± sd | Median [IQR] | RTX + Chemotherapy | RTX Monotherapy | RTX + Chemotherapy/ RTX Monotherapy | ||
No switch during the study period | 392 | 6.4 ± 2.7 | 6.0 [6.0–8.0] | 252 (64.3%) | 23 (5.9%) | 111 (28.3%) |
Originator—Mabthera IV | 4 | 7.3 ± 3.9 | 6.0 [5.0–9.5] | 3 (75.0%) | 0 (0.0%) | 1 (25.0%) |
Originator—Mabthera SC | 1 | 7.0 | 7.0 | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) |
Biosimilar—Rixathon | 130 | 5.8 ± 2.4 | 6.0 [4.0–7.0] | 101 (77.7%) | 3 (2.3%) | 25 (19.2%) |
Biosimilar—Truxima | 257 | 6.7 ± 2.8 | 6.0 [6.0–8.0] | 147 (57.2%) | 20 (7.8%) | 85 (33.1%) |
Switch during the study period | 113 | 10.5 ± 5.3 | 8.0 [6.0–15.0] | 36 (31.9%) | 2 (1.8%) | 74 (65.5%) |
sw protocol | 57 | 10.4 ± 5.5 | 8.0 [6.0–15] | 17 (29.8%) | 0 (0.0%) | 40 (70.2%) |
sw or | 2 | 13.0 ± 7.1 | 13.0 [8.0–18.0] | 0 (0.0%) | 0 (0.0%) | 2 (100.0%) |
sw ob | 21 | 12.5 ± 5.4 | 13.0 [8.0–17.0] | 4 (19.0%) | 0 (0.0%) | 17 (81.0%) |
sw bb | 25 | 8.9 ± 4.3 | 8.0 [6.0–10.0] | 10 (40.0%) | 2 (8.0%) | 12 (48.0%) |
sw bo | 8 | 10 ± 5.4 | 8.5 [7.0–12.5] | 5 (62.5%) | 0 (0.0%) | 3 (37.5%) |
Total | 505 | 7.3 ± 3.8 | 6.0 [6.0–8.0] | 288 (57.0%) | 25 (5.0%) | 185 (36.6%) |
4.2. Adverse Reactions Related to Rituximab
5. Discussion
Limits of This Study
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristics | All Patients | Switch to MabSC | Switch to IV (OR/BIO) | No Switchers | p |
---|---|---|---|---|---|
Number of patients | 505 | 78 | 35 | 392 | |
Female [n. (%)] | 212 (42.0%) | 29 (37.2%) | 12 (34.3%) | 171 (43.6%) | 0.36 |
BMI (kg/m2) [median (IQR)] | 25.0 (22.5–27.6) | 25.8 (22.8–28.3) | 24.4 (21.9–28.1) | 25.0 (22.5–27.3) | 0.43 |
Age at diagnosis (years) [median (IQR)] | 65.8 (57.0–73.3) | 67.1 (56.1–73.4) | 68.8 (59.4–73.8) | 65.3 (57.1–73.2) | 0.50 |
Age at baseline (years) [median (IQR)] | 66.8 (57.5–73.9) | 67.6 (57.1–73.8) | 69.2 (59.8–74.1) | 66.6 (57.4–74.0) | 0.59 |
Duration of disease (days) [median (IQR)] | 390.0 (276.0–637.0) | 534.0 (388.0–787.0) | 732.0 (358.0–965.5) | 361.0 (265.0–544.0) | <0.001 |
Diagnosis | <0.001 | ||||
Indolent non-Hodgkin lymphoma | 96 (19.0%) | 28 (35.9%) | 5 (14.3%) | 63 (16.1%) | |
Aggressive non-Hodgkin lymphoma | 244 (48.3%) | 49 (62.8%) | 10 (28.6%) | 185 (47.2%) | |
Unspecified non-Hodgkin lymphoma | 113 (22.4%) | 1 (1.3%) | 17 (48.6%) | 95 (24.2%) | |
Chronic lymphocytic leukemia | 33 (6.5%) | 0 (0.0%) | 2 (5.7%) | 31 (7.9%) | |
Law 648-96 | 19 (3.8%) | 0 (0.0%) | 1 (2.9%) | 18 (4.6%) | |
Time of follow-up (days) [median (IQR)] | 317 (217–461) | 445 (335–812) | 498 (255–823) | 295 (210–404) | <0.001 |
Number of concomitant medications | 0.96 | ||||
0 | 114 (22.6%) | 20 (25.6%) | 7 (20.0%) | 87 (22.2%) | |
1–3 | 246 (48.7%) | 37 (47.4%) | 17 (48.6%) | 192 (49.0%) | |
≥4 | 145 (28.7%) | 21 (26.9%) | 11 (31.4%) | 113 (28.8%) | |
Number of comorbidities | 0.55 | ||||
0 | 161 (31.9%) | 25 (32.1%) | 10 (28.6%) | 126 (32.1%) | |
1–2 | 179 (35.4%) | 27 (34.6%) | 17 (48.6%) | 135 (34.4%) | |
≥3 | 165 (32.7%) | 26 (33.3%) | 8 (22.9%) | 131 (33.4%) | |
Performance status [n (%)] | 0.035 | ||||
0 | 210 (41.6%) | 39 (50.0%) | 6 (17.1%) | 165 (42.1%) | |
1 | 156 (30.9%) | 23 (29.5%) | 15 (42.9%) | 118 (30.1%) | |
2 | 25 (5.0%) | 1 (1.3%) | 2 (5.7%) | 22 (5.6%) | |
≥3 | 14 (2.8%) | 0 (0.0%) | 1 (2.9%) | 13 (3.3%) | |
NA | 100 (19.8%) | 15 (19.2%) | 11 (31.4%) | 74 (18.9%) | |
Number of infusions [mean] | 7.3 ± 3.8 | 10.8 ± 5.3 | 9.7 ± 5.3 | 6.4 ± 2.7 | <0.001 |
All Patients | n. At Least 1 ADR | % At Least 1 ADR | |
---|---|---|---|
Diagnosis | |||
Aggressive non-Hodgkin lymphoma | 244 | 38 | 15.6 |
Unspecified non-Hodgkin lymphoma | 113 | 21 | 18.6 |
Indolent non-Hodgkin lymphoma | 96 | 18 | 18.8 |
Chronic lymphocytic leukemia | 33 | 5 | 15.2 |
Law 648-96 | 19 | 3 | 15.8 |
No switch during the study period | 392 | 81 | 20.7 |
Originator—Mabthera IV | 4 | 3 | 75.0 |
Originator—Mabthera SC | 1 | 0 | 0.0 |
Biosimilar–Rixathon | 130 | 32 | 24.6 |
Biosimilar—Truxima | 257 | 46 | 17.9 |
Switch during the study period | 113 | 4 | 3.5 |
sw protocol | 57 | 1 | 1.8 |
sw or | 2 | 0 | 0.0 |
sw ob | 21 | 1 | 4.8 |
sw bb | 25 | 2 | 8.0 |
sw bo | 8 | 0 | 0.0 |
Total | 505 | 85 | 16.8 |
Type of Events (Cases, n = 85) | ADRs Related to Rituximab | ||||
---|---|---|---|---|---|
n. Any Grade | n. Grade 1–2 | n. Grade 3–5 | % Grade 1–2 | % Grade 3–5 | |
General disorders and administration site conditions | 50 | 46 | 4 | 92.0 | 8.0 |
Respiratory, thoracic, and mediastinal disorders | 16 | 15 | 1 | 93.8 | 6.3 |
Gastrointestinal disorders | 12 | 10 | 2 | 83.3 | 16.7 |
Infections and infestations | 11 | 9 | 2 | 81.8 | 18.2 |
Blood and lymphatic system disorders | 8 | 2 | 6 | 25.0 | 75.0 |
Skin and subcutaneous tissue disorders | 8 | 8 | 0 | 100.0 | 0.0 |
Nervous system disorders | 6 | 4 | 2 | 66.7 | 33.3 |
Musculoskeletal and connective tissue disorders | 5 | 4 | 1 | 80.0 | 20.0 |
Cardiac disorders | 4 | 3 | 1 | 75.0 | 25.0 |
Eye disorders | 1 | 1 | 0 | 100.0 | 0.0 |
Psychiatric disorders | 1 | 1 | 0 | 100.0 | 0.0 |
Secondary cancer | 1 | 0 | 1 | 0.0 | 100.0 |
Vascular disorders | 1 | 1 | 0 | 100.0 | 0.0 |
Total | 124 | 104 | 20 | 83.9 | 16.1 |
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Urru, S.A.M.; Mayer, F.; Spila Alegiani, S.; Paoloni, F.; Guella, A.; Murru, R.; Bucaneve, G.; Formoso, G.; Racanelli, V.; Ferrarini, I.; et al. The Importance of Real-World Data in Evaluating the Safety of Biosimilars: A Descriptive Study of Clinical Practice in an Oncohematological Italian Population. Cancers 2024, 16, 3419. https://doi.org/10.3390/cancers16193419
Urru SAM, Mayer F, Spila Alegiani S, Paoloni F, Guella A, Murru R, Bucaneve G, Formoso G, Racanelli V, Ferrarini I, et al. The Importance of Real-World Data in Evaluating the Safety of Biosimilars: A Descriptive Study of Clinical Practice in an Oncohematological Italian Population. Cancers. 2024; 16(19):3419. https://doi.org/10.3390/cancers16193419
Chicago/Turabian StyleUrru, Silvana A. M., Flavia Mayer, Stefania Spila Alegiani, Francesca Paoloni, Anna Guella, Roberta Murru, Giampaolo Bucaneve, Giulio Formoso, Vito Racanelli, Isacco Ferrarini, and et al. 2024. "The Importance of Real-World Data in Evaluating the Safety of Biosimilars: A Descriptive Study of Clinical Practice in an Oncohematological Italian Population" Cancers 16, no. 19: 3419. https://doi.org/10.3390/cancers16193419
APA StyleUrru, S. A. M., Mayer, F., Spila Alegiani, S., Paoloni, F., Guella, A., Murru, R., Bucaneve, G., Formoso, G., Racanelli, V., Ferrarini, I., Fozza, C., Longo, G., Musicco, F., & Campomori, A. (2024). The Importance of Real-World Data in Evaluating the Safety of Biosimilars: A Descriptive Study of Clinical Practice in an Oncohematological Italian Population. Cancers, 16(19), 3419. https://doi.org/10.3390/cancers16193419