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Meta-analysis reveals CMR and biomarkers key in ICI myocarditisHeart MRI and Blood Tests Help Detect Immunotherapy Heart Inflammation

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Key Takeaway
Multimodal assessment with CMR, LVEF, and cardiac biomarkers is essential for diagnosing and prognosing ICI-M.

This meta-analysis, encompassing 3568 patients from multiple studies, provides a comprehensive evaluation of diagnostic and prognostic parameters for immune checkpoint inhibitor-related myocarditis (ICI-M). The findings underscore the heterogeneity of ICI-M presentation and the necessity of a multimodal diagnostic approach.

Cardiac magnetic resonance imaging (CMR) abnormalities were prevalent, with abnormal CMR present in 63.4% of patients. Late gadolinium enhancement (LGE) was the most common finding, observed in 65.3% of cases, and was significantly associated with ICI-M (OR 5.32, 95% CI 1.61-17.50, p=0.006). The most frequent LGE pattern was mid-myocardial (43%), suggesting a non-ischemic etiology. Myo- or pericardial oedema on CMR was less common (16.4%) and showed a non-significant trend toward association (OR 4.79, 95% CI 0.96-23.92, p=0.06).

Echocardiographic assessment revealed decreased left ventricular ejection fraction (LVEF) in 35.9% of patients, which was strongly associated with ICI-M (OR 5.22, 95% CI 2.02-8.42, p=0.001). Importantly, reduced LVEF also predicted major adverse cardiovascular events (MACE) (OR 5.11, 95% CI 2.53-7.68, p<0.001), highlighting its prognostic value.

Cardiac biomarkers were also significantly elevated in ICI-M. Cardiac troponins (cTn) showed a standardized mean difference (SMD) of 0.79 (95% CI 0.14-1.44, p=0.02), while brain natriuretic peptides (BNP/NT-proBNP) had an SMD of 0.92 (95% CI 0.30-1.54, p=0.003). Troponin I elevation further predicted MACE (SMD 2.27, 95% CI 0.33-4.22, p=0.02), though this analysis was limited by small sample size (n=76).

The study's strengths include a large pooled sample and systematic evaluation of multiple diagnostic modalities. However, as a meta-analysis of observational data, results are pooled estimates and subject to heterogeneity across included studies. The analysis did not report specific limitations or funding sources, which should be considered when interpreting the findings.

Clinically, these results emphasize that no single parameter is diagnostic for ICI-M. Instead, a combination of CMR findings (especially LGE), echocardiographic LVEF, and cardiac biomarkers should be used to support the diagnosis and risk stratify patients. The strong association of reduced LVEF and troponin elevation with MACE underscores their prognostic importance. Given the increasing use of immune checkpoint inhibitors, early recognition and management of ICI-M are critical. This meta-analysis provides valuable aggregate data to guide clinicians in selecting appropriate diagnostic tests and identifying patients at highest risk for adverse outcomes.

Immune checkpoint inhibitors are powerful cancer treatments that help the body's immune system fight tumors. However, in some patients, these drugs can cause the immune system to attack the heart, leading to a condition called immune checkpoint inhibitor-related myocarditis (ICI-M). This heart inflammation can be serious, so doctors need reliable ways to diagnose it early.

A new meta-analysis combined data from 3,568 patients across multiple studies to see which tests work best for detecting ICI-M. The results show that cardiac magnetic resonance imaging (CMR) is very helpful. About 63% of patients with ICI-M had abnormal CMR findings, and 65% showed a specific pattern called late gadolinium enhancement (LGE). Patients with LGE had about 5 times higher odds of having ICI-M compared to those without it. Another CMR finding, myo- or pericardial oedema (swelling of the heart muscle or lining), was seen in 16% of patients and also suggested higher odds of ICI-M, though this result was not statistically significant.

Blood tests also play an important role. Elevated cardiac troponins (cTn) and brain natriuretic peptides (BNP) were both significantly higher in patients with ICI-M. These markers indicate heart muscle damage or stress. Additionally, echocardiography (ultrasound of the heart) showed that about 36% of patients with ICI-M had a decreased left ventricular ejection fraction (LVEF), meaning the heart's pumping ability was reduced. Having a low LVEF increased the odds of ICI-M by about 5 times.

Importantly, the study also looked at which tests could predict major adverse cardiovascular events (MACE), such as heart failure or death. Both reduced LVEF and elevated troponin I were strong predictors. Patients with low LVEF had about 5 times higher odds of MACE, and those with high troponin I had even higher odds.

The takeaway is that no single test can diagnose ICI-M on its own. Instead, doctors should use a combination of heart MRI, blood tests, and echocardiography to get a complete picture. This multimodal approach helps catch heart inflammation early and manage it properly. The study is based on pooled data from many observational studies, so the results are estimates, not absolute truths. Patients and doctors should work together to interpret these tests in the context of each individual's situation.

What this means for you:
A combination of heart MRI, blood tests, and echocardiography is best for diagnosing immunotherapy-related heart inflammation.

Study Details

Study typeMeta analysis
Sample sizen = 3,568
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
BACKGROUND: Diagnosis of immune checkpoint inhibitor-related myocarditis (ICI-M) represents a substantial challenge in clinical practice. A range of imaging and laboratory parameters are frequently utilized for diagnosis, but the reliability of these modalities remains controversial. The present meta-analysis evaluates diagnostic and prognostic parameters in ICI-M. METHODS AND RESULTS: After screening PubMed, Cochrane, and Wiley Library, data from 29 trials with 3568 patients were included. In ICI-M, abnormal cardiac magnetic resonance imaging (CMR) was present in 63.4%, including late gadolinium enhancement (LGE) in 65.3% (odds ratio (OR) 5.32, 95% confidence interval (CI) 1.61-17.50; n = 424; p = 0.006) and myo- or pericardial oedema in 16.4% (OR 4.79, 95% CI 0.96-23.92; n = 145; p = 0.06). The most common LGE pattern was mid-myocardial (43%) distribution. Decreased left ventricular ejection fraction (LVEF) was present in 35.9% (OR 5.22, 95% CI 2.02-8.42; n = 1319; p = 0.001) of transthoracic echocardiography (TTE). Cardiac troponins (cTn) (standardized mean difference (SMD) 0.79, 95% CI 0.14-1.44; n = 323; p = 0.02) and brain natriuretic peptides (SMD 0.92, 95% CI 0.30-1.54; n = 201; p = 0.003) were increased in ICI-M. Reduced LVEF (OR 5.11, 95% CI 2.53-7.68; n = 222; p < 0.001) and cTnI elevation (SMD 2.27, 95% CI 0.33-4.22; n = 76; p = 0.02) predicted major adverse cardiovascular events. The study was registered with PROSPERO (International Prospective Register of Systematic Reviews; CRD420251087222). CONCLUSION: Distinct CMR-, TTE-, and laboratory parameters were associated with ICI-M, but did not serve as standalone diagnostic criterium. Aggregate data emphasize the heterogeneity of ICI-M, underscoring the necessity for a multimodal diagnostic approach.
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