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Development and validation of a machine learning model to identify high-risk myocarditis patients induced by immune checkpoint inhibitors

Development and validation of a machine learning model to identify high-risk myocarditis patients induced by immune checkpoint inhibitors

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098903
Enrollment
Unknown
Registered
2025-03-14
Start date
2025-03-17
Completion date
Unknown
Last updated
2025-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Immunomyocarditis

Interventions

Positive Group:Patients at our hospital who underwent immune checkpoint inhibitor (ICI) therapy between January 1, 2018, and November 1, 2024, and subsequently developed myocarditis associated with ch
Control Group:Patients at our hospital who received immune checkpoint inhibitor (ICI) therapy between January 1, 2018, and November 1, 2024, and did not develop myocarditis related to immune checkpoin

Sponsors

First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
19 Years to 89 Years

Inclusion criteria

Inclusion criteria: 1. Screen patients who received immune checkpoint inhibitor (ICI) therapy at our hospital between January 1, 2018, and November 1, 2024; 2. Include only those patients who had no pre-existing cardiac organic lesions, no history of cardiovascular diseases, and showed no indications of heart disease in their laboratory tests, electrocardiograms, or imaging studies prior to ICI treatment.

Exclusion criteria

Exclusion criteria: 1. Inability to obtain complete clinical and imaging data; 2. Patients with pre-existing cardiac organic lesions or a history of heart-related conditions prior to ICI administration; 3. Patients who develop signs of myocardial injury after ICI treatment, requiring exclusion of differential diagnoses such as myocardial infarction, stress cardiomyopathy, primary dilated cardiomyopathy, and isolated acute pericarditis.

Design outcomes

Primary

MeasureTime frame
Gender;Age;Race;Drinking history;Smoking history;Tumor Type;Cancer Staging;Body Mass Index;History of diabetes;Comorbid Disease Category;ICI Drug Types;ICI Drug Dosage;ICI Drug with Radiotherapy Combination;ICI Drug with Chemotherapy Combination;blood routine examination;routine chemistry panel;liver function test;Renal function test;myocardial enzyme;Inflammatory index;coagulation indicator;Electrocardiograph; ultrasonic cardiogram;Accuracy;Area Under the Receiver Operating Characteristic Curve;AUC;Confusion Matrix;

Secondary

MeasureTime frame
Cardiac magnetic resonance;

Countries

China

Contacts

Public ContactWei Wang

First Affiliated Hospital of Army Medical University

weiericwang@163.com+86 186 2356 5389

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026