Abstract 5944
Background
Disruption of the immune system using immune checkpoint inhibitors (ICI) can result in a multitude of immune-related adverse effects (irAE). While irAEs have been well-reported in clinical trials, the impact and magnitude in the real world is unclear.
Methods
Data was collected on patients with advanced malignancy who experienced a suspected irAE requiring admission to an academic hospital (02/11-10/18). Each case was comprehensively reviewed by a minimum of two reviewers, including one sub-specialist.
Results
From 2011-2018, there were 632 hospitalizations for suspected irAEs, and the majority (59.7%; N = 377) were confirmed irAEs from immunotherapy: PD1 (N = 194, 51.5%), CTLA4 (N = 92, 24.4%), CTLA4 + PD1 (N = 76, 20.2%), PLD1 (N = 15, 4.0%). The most common irAEs were gastrointestinal (37.4%), pulmonary (14.9%), hepatic (13.5%), endocrine (16.2%), neurologic (9.0%), cardiac (6.9%), dermatologic (5.6%), rheumatologic (2.9%), hematologic (2.1%), renal (1.9%), and allergy (1.1%). 10.3% of admissions had multiple toxicities. Median length of stay was 5 days (IQR, 3-8). Majority of patients (89.1%) required continuation of immunosuppressive medication on discharge. Inpatient toxicity led to ICI discontinuation in 78.1% of admissions. Overall, there were 11.3 irAE admissions per 100 patients treated with ICI and 2.1 irAE admissions per 100 ICI administrations.
Conclusions
irAEs from ICI can result in prolonged hospitalizations, need for immunosuppression, and ICI discontinuation, which can have detrimental effects on oncologic outcomes. Consequently, there is a critical need for coordinated multidisciplinary approach, comprehensive provider education, and translational research programs for early detection and intervention.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4614 - Predictors of Response to Checkpoint Inhibitors in Naïve and Ipilimumab-Refractory Melanoma
Presenter: Domenico Mallardo
Session: Poster Display session 3
Resources:
Abstract
2901 - IFN-γ/IL-10 ratio as predictive biomarker for response to anti-PD-1 therapy in metastatic melanoma patients
Presenter: Emilio Giunta
Session: Poster Display session 3
Resources:
Abstract
2306 - Multiplex Chromogenic Immunohistochemistry (IHC) for Spatial Analysis of Checkpoint-Positive Tumor Infiltrating Lymphocytes (TILs)
Presenter: Scott Ely
Session: Poster Display session 3
Resources:
Abstract
1678 - The role of PD-L1 expression as a predictive biomarker in advanced renal cell carcinoma: a meta-analysis of randomized clinical trials.
Presenter: Alberto Carretero-Gonzalez
Session: Poster Display session 3
Resources:
Abstract
5138 - Radiomic Features as a Non-invasive Biomarker to Predict Response to Immunotherapy in Recurrent or Metastatic Urothelial Carcinoma
Presenter: Kye Jin Park
Session: Poster Display session 3
Resources:
Abstract
5800 - Integrative combination of high-plex digital profiling techniques and cluster analysis to reveal complex immune biology in the tumor microenvironment of mesothelioma
Presenter: Carmen Ballesteros-Merino
Session: Poster Display session 3
Resources:
Abstract
5736 - Predictive factors of response to immunotherapy in 198 patients with metastatic non-microcytic lung cancer (mNSCLC): real world data from 2 university hospitals in Spain
Presenter: Juan Felipe Cordoba Ortega
Session: Poster Display session 3
Resources:
Abstract
5645 - Evaluating Lung CT Density Changes Among Patients with Extensive Stage Small Cell Lung Cancer (ES-SCLC) Treated with Thoracic Radiotherapy (TRT) alone or TRT Followed by Combined Ipilimumab (IPI) and Nivolumab (NIVO).
Presenter: Kujtim Latifi
Session: Poster Display session 3
Resources:
Abstract
1540 - Immuno-oncology therapy biomarkers differences between polyoma-virus positive and negative Merkel cell carcinomas
Presenter: Zoran Gatalica
Session: Poster Display session 3
Resources:
Abstract
4538 - Can we improve patient selection for phase 1 clinical trials (Ph1) based on Immuno-Oncology score prognostic index (VIO)?
Presenter: Ignacio Matos Garcia
Session: Poster Display session 3
Resources:
Abstract