Abstract 2172P
Background
The use of immune checkpoint inhibitors (ICIs) needs monitoring for the development of serious immune-related adverse events (irAEs). Here, we developed a smartphone application (an irAEs self-reported interview system: ISRIS) to enable early detection of irAEs while outpatients are at home and evaluated its usefulness.
Methods
This investigation included outpatients who received ICIs between September 2020 and February 2023 and had the application installed on their smartphones. The investigation items included treatment regimen and its dosage, type of irAE and the grade, frequency of ISRIS usage, and sensitivity and specificity for detecting irAEs to evaluate the efficacy of our ISRIS system.
Results
In total, sixty-one patients (female/male: 13/39, mean age: 65 y.o., range: 26-87 y.o.) installed the application on their smartphones. irAEs occurred in twenty-four patients; the irAEs detectable by the app included interstitial pneumonia (n=7), thyroid dysfunction (n=4), skin disorders (n=4), adrenocortical dysfunction (n=3), colitis (n=2), myocarditis (n=1), uveitis (n=1), liver disorders (n=1), and Guillain-Barré syndrome (n=1). Among patients with irAEs, thirteen patients had installed the application at least one week before the irAE onset; of these, irAEs were detected by ISRIS in eight patients, indicating 62% sensitivity and 57% specificity, respectively.
Conclusions
Our ISRIS application for smartphones allows healthcare professionals to monitor the physical condition of patients with cancer in real time via self-reported interview data for early intervention, even when the patient is at home, facilitating the early detection and response to irAEs. In addition, having healthcare professionals review the results of the interview can reduce patient anxiety about adverse reactions, thereby contributing to treatment continuation.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
A. Yano.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2194P - Prospective observational study of physical activity measurement using wearable device as an alternative to ECOG PS in patients with advanced lung cancer
Presenter: Kentaro Ito
Session: Poster session 07
Resources:
Abstract
2195P - Targeted gene editing with CRISPR for the treatment of pleural mesothelioma
Presenter: Rodrigo Dominic Cerqueda
Session: Poster session 07
2196P - PET-CT detects response to treatment with ipilimumab and nivolumab in malignant mesothelioma far better than CT
Presenter: Daniel C. Christoph
Session: Poster session 07
2197P - Prognostic value of 18F-FDG-PET for patients with malignant pleural mesothelioma treated with double immunotherapy
Presenter: Solfrid Thunold
Session: Poster session 07
2198P - Clinicopathologic characteristics and outcomes to immune checkpoint inhibitor therapy in patients with HER2-altered metastatic non-small cell lung cancer
Presenter: Maisam Makarem
Session: Poster session 07
2199P - Immunohistochemical identification of clinical subtypes and potential therapeutic vulnerabilities of lung carcinoids based on multi-omic analysis
Presenter: Jules Derks
Session: Poster session 07
2200P - Spatiotemporal distribution of mediastinal neoplasms: A multi-center, hospital-based, systematic analysis
Presenter: Yu Jiang
Session: Poster session 07
2201P - Malignant pleural mesothelioma (MPM)-specific DNA methylation patterns in patients using liquid biopsies
Presenter: Sabine Schmid
Session: Poster session 07
2202P - Large cell neuroendocrine carcinoma (LCNEC) subtyping based on NEUROD1, ASCL1, POU2F3 and YAP1 expression
Presenter: Frank Heijboer
Session: Poster session 07
2203P - Uncovering prognostic transcriptomic differences in epithelioid malignant pleural mesothelioma
Presenter: Mario Occhipinti
Session: Poster session 07