Evidence map›Paper›PMID 40711677›Full record

ArticleJournal of echocardiography2026

Utility of echocardiographic parameters in predicting cardiac immune-related adverse events in Japanese patients undergoing immune checkpoint inhibitor therapy.

Junya Yamaguchi, Tetsuji Morishita, Hiroyasu Uzui, Kanae Hasegawa, Hiroyuki Ikeda, Hiroshi Tada

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Article in Journal of echocardiography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junya YamaguchiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-Cho, Yoshida-Gun, Fukui, 910-1193, Japan.
Tetsuji MorishitaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-Cho, Yoshida-Gun, Fukui, 910-1193, Japan.
Hiroyasu UzuiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-Cho, Yoshida-Gun, Fukui, 910-1193, Japan. huzui@u-fukui.ac.jp.
Kanae HasegawaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-Cho, Yoshida-Gun, Fukui, 910-1193, Japan.
Hiroyuki IkedaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-Cho, Yoshida-Gun, Fukui, 910-1193, Japan.
Hiroshi TadaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-Cho, Yoshida-Gun, Fukui, 910-1193, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have transformed cancer treatment but are associated with immune-related adverse events, including cardiac immune-related adverse events (cardiac irAEs). Early identification of patients at risk for cardiac irAEs is crucial, and echocardiographic parameters may serve as valuable predictors. This study aimed to evaluate the predictive utility of echocardiographic indices in assessing cardiac irAE risk in Japanese patients receiving ICI therapy.

methodsThis retrospective study analyzed patients treated with ICIs at the University of Fukui Hospital between November 2015 and October 2018. Cardiac irAEs were defined according to the ESC guidelines.

resultsAmong 73 patients, six (8%) developed cardiac irAEs, with no fatalities. Echocardiographic assessment before ICI initiation revealed that patients who later developed cardiac irAEs had significantly lower ejection fractions (EFs) (p < 0.05). Receiver operating characteristic analysis demonstrated that left ventricular end-systolic diameters (LVDs) (area under the curve: AUC = 0.660) and EFs (AUC = 0.797) had moderate predictive value for cardiac irAEs. Kaplan-Meier analysis showed a higher probability of cardiac irAEs in patients with LVDs and EFs beyond specific thresholds (p < 0.01). Poisson regression analysis indicated a decreasing risk of cardiac irAEs over time after ICI initiation.

conclusionBaseline echocardiographic parameters, particularly LVDs and EFs, can be useful predictors of cardiac irAEs in patients receiving ICI therapy. Early echocardiographic evaluation may facilitate risk stratification and improve monitoring strategies for cardiac irAEs. CLINICAL TRIAL REGISTRATION NUMBER: UMIN000023840.

Indexed as

EchocardiographyHeart DiseasesImmune Checkpoint InhibitorsNeoplasmsAgedAged, 80 and overCardiotoxicityEast Asian PeopleFemaleHumansJapanMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentImmune Checkpoint InhibitorsCardiac immune-related adverse eventImmune checkpoint inhibitors

Identifiers

PMID40711677
PMCPMC12967468

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.