Cardiotoxicity Secondary to Immune Checkpoint Inhibitors in the Elderly: Safety in Real-World Data
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Sources of Data
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- Epidemiological: age (years) and sex.
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- Oncological: tumour (location, stage, histology, and oncological treatment), PDL-1, and driver mutations.
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- Type of treatment: type of immunotherapy, number of doses, and line treatment.
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- Response: overall survival (OS), progression-free survival (PFS), overall response rate (ORR), and disease control rate (DCR).
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- Cardiac: cardiac comorbidity, the treatment of cardiac pathology, and cardiotoxicity (number and types of events).
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- Clinical and analytical data and comorbidities: general condition (Eastern Cooperative Oncology Group, ECOG), analytical data (blood count, creatinine, liver function, proteins, and glycemia), body mass index (BMI), general toxicity (grade), and associated cardiovascular factors and comorbidities.
2.2. Cohort Construction
2.2.1. Inclusion Criteria
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- Patients who had received ICIs in any line of treatment, both in monotherapy and in different combinations such as with chemotherapy, other ICIs, or tyrosine kinase inhibitors.
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- Patients with a diagnosis of a solid tumour in any stage.
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- Patients who had all the clinical information necessary for the analysis of the objectives collected.
2.2.2. Exclusion Criteria
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- Patients using immunotherapy for haematological tumours.
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- The clinical information necessary for the study had not been collected.
2.3. Objectives and Definitions
2.4. Statistical Analysis
3. Results
3.1. General Characteristics of the Sample
3.2. Cardiac Comorbidity of the Sample
3.3. Cardiac Events Post-Immunotherapy (Primary Endpoint)
4. Discussion
4.1. Submission Times of Cardiotoxicity
4.2. Cardiotoxicity in the Patients of the Sample (Secondary Objectives)
4.3. Limitations of the Study
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Sample | NSCLC (n = 99) | Urothelial (n = 29) | Melanoma (n = 23) | Renal (n = 22) | Miscellany (n = 22) |
---|---|---|---|---|---|
Age (range) | 74 (70–86) | 76 (70–88) | 78 (70–93) | 76 (70–87) | 76 (70–84) |
Sex (M/W) | 86/13 (86.9/14.1%) | 24/5 (82.8/17.2%) | 11/12 (47.8/52.2%) | 15/7 (68.2/31.8%) | 14/8 (63.6/36.4%) |
Type of ICI
| 48 (48.5%) 51 (51.5%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) | 4 (13.8%) 0 (0%) 20 (69%) 0 (0%) 0 (0%) 5 (17.2%) | 0 (0%) 22 (95.7%) 0 (0%) 1 (4.3%) 5 (21.7%) 0 (0%) | 4 (18.2%) 16 (72.8%) 0 (0%) 2 (9.1%) 0 (0%) 0 (0%) | 8 (36.4%) 5 (22.7%) 7 (31.8%) 0 (0%) 0 (0%) 2 (9.1%) |
Most common histology | ADC 62 (62.6%) | Transitional 27 (93.1%) | Superficial spreading 10 (%) | Clear cell 18 (81.8%) | SCLC 7 (31.8%) |
Median doses of ICIs | 9 | 6 | 8 | 6 | 6 |
ECOG
| 83 (83.8%) 16 (16.2%) | 25 (86.2%) 4 (13.8%) | 20 (87%) 3 (13%) | 19 (86.4%) 3 (13.6%) | 17 (77.3%) 5 (22.7%) |
Hypertension | 52 (52.6%) | 15 (51.7%) | 17 (73.9%) | 15 (68.2%) | 13 (59.1%) |
Dyslipidaemia | 54 (54.5%) | 16 (55.2%) | 11 (47.8%) | 8 (36.4%) | 11 (50%) |
Type 2 diabetes mellitus | 22 (22.2%) | 8 (28.6%) | 7 (30.4%) | 6 (27.3%) | 3 (13.6%) |
Cardiac comorbidity | 39 (39.4%) | 9 (31%) | 7 (30.4%) | 6 (27.3%) | 9 (40.9%) |
Immunotoxicity | Global (n = 195) | NSCLC (n = 99) | Urothelial (n = 29) | Melanoma (n = 23) | Renal (n = 22) | Miscellany (n = 22) |
---|---|---|---|---|---|---|
Global
| 56 (28.7%) 41 (21%) 15 (7.7%) | 25 (25.3%) 19 (19.2%) 6 (6.1%) | 8 (27.6%) 7 (24.1%) 1 (3.4%) | 11 (47.8%) 5 (21.7%) 6 (26.1%) | 4 (18.2%) 4 (18.2%) 0 (0%) | 8 (36.4%) 6 (27.3%) 2 (9.1%) |
Endocrine
| 14 (7.2%) 14 (7.2%) 0 (0%) | 8 (8.1%) 8 (8.1%) 0 (0%) | 2 (6.9%) 2 (6.9%) 0 (0%) | 1 (4.3%) 1 (4.3%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 3 (13.6%) 3 (13.6%) 0 (0%) |
Gastrointestinal
| 8 (4.1%) 5 (2.6%) 3 (1.5%) | 3 (3%) 1 (1%) 2 (2%) | 2 (6.9%) 2 (6.9%) 0 (0%) | 2 (8.7%) 1 (4.3%) 1 (4.3%) | 0 (0%) 0 (0%) 0 (0%) | 1 (4.5%) 1 (4.5%) 0 (0%) |
Hepatic
| 9 (4.6%) 4 (2.1%) 5 (2.6%) | 4 (4%) 2 (2%) 2 (2%) | 1 (3.4%) 1 (3.4%) 0 (0%) | 2 (8.7%) 0 (0%) 2 (8.7%) | 1 (4.5%) 1 (4.5%) 0 (0%) | 1 (4.5%) 0 (0%) 1 (4.5%) |
Asthenia
| 6 (3.1%) 6 (3.1%) 0 (0%) | 2 (2%) 2 (2%) 0 (0%) | 1 (3.4%) 1 (3.4%) 0 (0%) | 1 (4.3%) 1 (4.3%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 2 (9.1%) 2 (9.1%) 0 (0%) |
Rheumatic
| 4 (2.1%) 4 (2.1%) 0 (0%) | 2 (2%) 2 (2%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 2 (8.7%) 2 (8.7%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) |
Dermal
| 4 (2.1%) 4 (2.1%) 0 (0%) | 2 (2%) 2 (2%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 1 (4.5%) 1 (4.5%) 0 (0%) | 1 (4.5%) 1 (4.5%) 0 (0%) |
Renal
| 7 (3.6%) 4 (2.1%) 3 (1.5%) | 5 (5.1%) 3 (3%) 2 (2%) | 0 (0%) 0 (0%) 0 (0%) | 1 (4.3%) 0 (0%) 1 (4.3%) | 1 (4.5%) 1 (4.5%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) |
Pulmonary
| 5 (2.6%) 2 (1%) 3 (1.5%) | 2 (2%) 1 (1%) 1 (1%) | 1 (3.4%) 0 (0%) 1 (3.4%) | 0 (0%) 0 (0%) 0 (0%) | 1 (4.5%) 1 (4.5%) 0 (0%) | 1 (4.5%) 0 (0%) 1 (4.5%) |
Haematological
| 3 (1.5%) 1 (0.5%) 2 (1%) | 0 (0%) 0 (0%) 0 (0%) | 1 (3.4%) 1 (3.4%) 0 (0%) | 2 (8.7%) 0 (0%) 2 (8.7%) | 0 (0%) 0 (0%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) |
Muscular
| 1 (0.5%)0 (0%)1 (0.5%) | 1 (1%) 0 (0%) 1 (1%) | 0 (0%) 0 (0%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) | 0 (0%) 0 (0%) 0 (0%) |
Cluster Sample (n = 195) | Global Cardiotoxicity | Myocarditis | Arrhythmias | Ischaemic | Heart Failure | Cardiomyopathies and Pericardial |
---|---|---|---|---|---|---|
Without cardiac comorbidity (n = 121) | 2 (1.65%) | 1 (0.82%) | 1 (0.82%) | 0 (0%) | 0 (0%) | 0 (0%) |
With cardiac comorbidity (n = 74) | 1 (1.35%) | 1 (1.35%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
All patients (n = 195) | 3 (1.54%) | 2 (1.03%) | 1 (0.51%) | 0 (0%) | 0 (0%) | 0 (0%) |
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Toribio-García, I.; Olivares-Hernández, A.; Miramontes-González, J.P.; Posado-Domínguez, L.; Martín García, A.; Eiros Bachiller, R.; Figuero-Pérez, L.; Garijo Martínez, M.; Roldán Ruiz, J.; Bellido Hernández, L.; et al. Cardiotoxicity Secondary to Immune Checkpoint Inhibitors in the Elderly: Safety in Real-World Data. Cancers 2023, 15, 4293. https://doi.org/10.3390/cancers15174293
Toribio-García I, Olivares-Hernández A, Miramontes-González JP, Posado-Domínguez L, Martín García A, Eiros Bachiller R, Figuero-Pérez L, Garijo Martínez M, Roldán Ruiz J, Bellido Hernández L, et al. Cardiotoxicity Secondary to Immune Checkpoint Inhibitors in the Elderly: Safety in Real-World Data. Cancers. 2023; 15(17):4293. https://doi.org/10.3390/cancers15174293
Chicago/Turabian StyleToribio-García, Irene, Alejandro Olivares-Hernández, José Pablo Miramontes-González, Luis Posado-Domínguez, Ana Martín García, Rocío Eiros Bachiller, Luis Figuero-Pérez, María Garijo Martínez, Jonnathan Roldán Ruiz, Lorena Bellido Hernández, and et al. 2023. "Cardiotoxicity Secondary to Immune Checkpoint Inhibitors in the Elderly: Safety in Real-World Data" Cancers 15, no. 17: 4293. https://doi.org/10.3390/cancers15174293
APA StyleToribio-García, I., Olivares-Hernández, A., Miramontes-González, J. P., Posado-Domínguez, L., Martín García, A., Eiros Bachiller, R., Figuero-Pérez, L., Garijo Martínez, M., Roldán Ruiz, J., Bellido Hernández, L., Fonseca-Sánchez, E., Luis Sánchez, P., & del Barco-Morillo, E. (2023). Cardiotoxicity Secondary to Immune Checkpoint Inhibitors in the Elderly: Safety in Real-World Data. Cancers, 15(17), 4293. https://doi.org/10.3390/cancers15174293