Heart failure prediction in dysglycaemia: are we ready to trust the proteome? - Takeaways - MDSpire

Heart failure prediction in dysglycaemia: are we ready to trust the proteome?

  • By

  • Fariba Ahmadizar

  • Kaavya Paruchuri

  • September 2, 2025

  • 0 min

Share

  • 1

    Heart failure prediction in dysglycaemic patients is currently limited by reliance on clinical signs and conventional risk factors.

  • 2

    Zhang et al. identified four proteins associated with heart failure risk, improving prediction models beyond traditional methods.

  • 3

    The PPCF model achieved an AUC of 0.823, outperforming traditional models, especially in patients with diabetes.

  • 4

    Limitations include low positive predictive value and lack of generalizability due to the study's homogeneous population.

  • 5

    Future research must address the biological mechanisms behind heart failure types and the clinical utility of proteomic findings.

Original Source(s)

Heart failure prediction in dysglycaemia: are we ready to trust the proteome?

  • by Fariba Ahmadizar, Kaavya Paruchuri

  • September 2, 2025

Related Content

Correction: Association between systemic immune-inflammation index(SII) and all-cause and cardiovascular mortality in heart failure patients: a single-center retrospective analysis

ChatGPT response consistency to the 2025 ESC/EACTS guidelines for the management of valvular heart disease: A test–retest study using binary and multiple-choice questions

Correction: Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study