Decoding Silent Signals: A Systematic Review of ECG and the Quest for an Early Diagnosis of Cirrhotic Cardiomyopathy

Sanathanan Neelakantan Ramaswamy1, Samyuktha Harikrishnan2, Nehal Bhatt3

  • 1Medicine, Government Erode Medical College and Hospital, Perundurai, IND.

Cureus
|September 15, 2025
PubMed

Insights

Cirrhotic Cardiomyopathy (CCM) diagnosis can be improved by recognizing ECG abnormalities. Combining ECG with other biomarkers aids early detection and risk stratification in liver disease patients.

Area of Science:

  • Cardiology
  • Hepatology
  • Biomarkers

Background:

  • Cirrhotic Cardiomyopathy (CCM) is an underdiagnosed cardiac complication in advanced liver disease.
  • Evidence suggests systemic myocardial dysfunction in cirrhosis beyond liver function.
  • Noninvasive ECG markers like QT prolongation and T-wave abnormalities are potential indicators of CCM.

Purpose of the Study:

  • To systematically review the diagnostic and predictive value of ECG changes in patients with cirrhosis.
  • To explore the relationship between ECG abnormalities and structural/functional cardiac changes in CCM.
  • To establish the role of ECG in early detection and risk stratification for CCM.

Main Methods:

  • Systematic literature review following PRISMA 2020 guidelines.
  • Searched major literature databases for studies on ECG changes and evaluation in cirrhosis patients.
  • Included eight high-quality studies meeting specific criteria.

Main Results:

  • QT prolongation correlates with liver disease severity.
  • Myocardial structural changes correlate with QRS voltage, T-wave configuration, and arrhythmia risk.
  • Echocardiographic parameters show variable sensitivity/specificity for ventricular function, necessitating multimodal diagnostics.

Conclusions:

  • Identifying ECG abnormalities in CCM stages is crucial for early detection and improved patient care.
  • Integrating ECG markers with echocardiography, NT-proBNP, and troponin enhances CCM diagnosis and risk stratification.
  • Future research should focus on longitudinal studies and AI-assisted ECG for CCM diagnosis standardization.

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