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March 21, 2026Cardiology Journal0 citationsOpen Access

Predicting heart failure decompensation: focus on non-invasive monitoring

MKMaja KłopeckaJZJakub Michał ZimodroKJKatarzyna Jania

Key Result

Non-invasive monitoring strategies, including telemonitoring and artificial intelligence, along with clinical factors and biomarkers, can help predict heart failure decompensation.

Key Points

  • The aim is to identify clinical factors that lead to heart failure decompensation and review non-invasive monitoring techniques.
  • Conducted a clinical review of existing literature
  • Outlined risk factors for heart failure decompensation
  • Discussed non-invasive monitoring methods including telemonitoring and AI tools
  • Identified key clinical factors associated with heart failure decompensation
  • Highlighted gaps in reliable risk scoring for prediction
  • Presented benefits of telemonitoring and AI for patient management

PICO

P
Population
Chronic heart failure
I
Intervention / Comparator
Non-invasive monitoring (telemonitoring, AI, biomarkers)

Limitations

  • Reliable, validated risk scores for the prediction of worsening heart failure are lacking.
  • Effective telemonitoring requires standardization, personalization, and integration with a system of care.

Abstract

PolandAbstractHeart failure (HF) remains the foremost global health problem. Decompensation of chronic HF, char-acterized by exacerbation of symptoms and signs of congestion, reduces functional capacity and quality of life, and increases the risk for hospitalizations and mortality. To reduce the HF burden, patients at elevated decompensation risk must be quickly identified. However, reliable, validated risk scores for the prediction of worsening HF are lacking. Therefore, this clinically oriented review aims to outline the clinical factors predisposing for HF decompensation and discuss modern strategies for the non-invasive monitoring of patients with chronic HF, including telemonitoring and artificial intelligence-based tools.

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Cite This Study

Kłopecka et al. (2026) conducted a review in Chronic heart failure. Non-invasive monitoring (telemonitoring, AI, biomarkers) was evaluated. Non-invasive monitoring strategies, including telemonitoring and artificial intelligence, along with clinical factors and biomarkers, can help predict heart failure decompensation.

synapsesocial.com/papers/69be37ce6e48c4981c677c2fhttps://doi.org/10.5603/cj.107197
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