Incidence, Clinical Characteristics, and Predictors of Cardiovascular Immune-Related Adverse Events Associated with Immune Checkpoint Inhibitors.


Journal

The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837

Informations de publication

Date de publication:
06 05 2022
Historique:
received: 18 03 2021
accepted: 04 02 2022
pubmed: 30 3 2022
medline: 11 5 2022
entrez: 29 3 2022
Statut: ppublish

Résumé

Cardiovascular immune-related adverse events (CV-irAEs) associated with immune checkpoint inhibitors (ICIs) may have been underreported given that most previous reports were retrospective. We aimed to evaluate the incidence, clinical characteristics, and predictors of CV-irAEs and determine the feasibility of serial cardiac monitoring using a combination of B-type natriuretic peptide, cardiac troponin T, and electrocardiogram for the prediction of future symptomatic (grade ≥2) CV-irAEs. This was a prospective observational study that included 129 consecutive patients with non-small-cell lung cancer who received ICI monotherapy at a single center. Serial cardiac monitoring was performed during ICI monotherapy. A total of 35 (27%) patients developed any grade ≥1 CV-irAEs with a median time of onset of 72 (interquartile range 44-216) days after ICI treatment initiation. Multivariate Fine-Gray regression analysis showed that prior acute coronary syndrome (adjusted hazard ratio [HR] 3.15 (95% [CI], 2.03-4.91), prior heart failure hospitalization (adjusted HR 1.65 [95% CI, 1.17-2.33]), and achievement of disease control (adjusted HR 1.91, [95% CI, 1.16-3.14]) were significantly associated with grade ≥1 CV-irAEs. Serial cardiac monitoring revealed that patients with preceding grade 1 CV-irAEs were associated with a significantly higher risk of onset of grade ≥2 CV-irAEs compared with those without preceding grade 1 CV-irAEs (HR: 6.17 [95% CI, 2.97-12.83]). CV-irAEs were more common than previously recognized and have several predictors. Moreover, serial cardiac monitoring may be feasible for the prediction of future grade ≥2 CV-irAEs.

Sections du résumé

BACKGROUND
Cardiovascular immune-related adverse events (CV-irAEs) associated with immune checkpoint inhibitors (ICIs) may have been underreported given that most previous reports were retrospective. We aimed to evaluate the incidence, clinical characteristics, and predictors of CV-irAEs and determine the feasibility of serial cardiac monitoring using a combination of B-type natriuretic peptide, cardiac troponin T, and electrocardiogram for the prediction of future symptomatic (grade ≥2) CV-irAEs.
MATERIALS AND METHODS
This was a prospective observational study that included 129 consecutive patients with non-small-cell lung cancer who received ICI monotherapy at a single center. Serial cardiac monitoring was performed during ICI monotherapy.
RESULTS
A total of 35 (27%) patients developed any grade ≥1 CV-irAEs with a median time of onset of 72 (interquartile range 44-216) days after ICI treatment initiation. Multivariate Fine-Gray regression analysis showed that prior acute coronary syndrome (adjusted hazard ratio [HR] 3.15 (95% [CI], 2.03-4.91), prior heart failure hospitalization (adjusted HR 1.65 [95% CI, 1.17-2.33]), and achievement of disease control (adjusted HR 1.91, [95% CI, 1.16-3.14]) were significantly associated with grade ≥1 CV-irAEs. Serial cardiac monitoring revealed that patients with preceding grade 1 CV-irAEs were associated with a significantly higher risk of onset of grade ≥2 CV-irAEs compared with those without preceding grade 1 CV-irAEs (HR: 6.17 [95% CI, 2.97-12.83]).
CONCLUSION
CV-irAEs were more common than previously recognized and have several predictors. Moreover, serial cardiac monitoring may be feasible for the prediction of future grade ≥2 CV-irAEs.

Identifiants

pubmed: 35348766
pii: 6555104
doi: 10.1093/oncolo/oyac056
pmc: PMC9074992
doi:

Substances chimiques

Immune Checkpoint Inhibitors 0

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e410-e419

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press.

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Auteurs

Tsuyoshi Isawa (T)

Department of Cardiology, Sendai Kousei Hospital, Sendai, Japan.

Yukihiro Toi (Y)

Department of Pulmonary Medicine, Sendai Kousei Hospital, Sendai, Japan.

Shunichi Sugawara (S)

Department of Pulmonary Medicine, Sendai Kousei Hospital, Sendai, Japan.

Masataka Taguri (M)

Department of Data Science, Yokohama City University School of Data Science, Yokohama, Japan.

Shigeru Toyoda (S)

Department of Cardiovascular Medicine, Dokkyo Medical University, Mibu, Japan.

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