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Inflammation-Based Scores as a Common Tool for Prognostic Assessment in Heart Failure or Cancer
Henrike Arfsten1, Anna Cho1, Suriya Prausmüller1
1Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Inflammation scores like NLR, MLR, PLR, and PNI predict disease severity and survival in heart failure with reduced ejection fraction (HFrEF) patients, similar to cancer patients. Risk increases were even higher for HFrEF with PNI and PLR.
Area of Science:
- Cardiovascular Medicine
- Oncology
- Inflammation Biomarkers
Background:
- Inflammation-based scores are established prognostic tools in cancer and are increasingly evaluated in cardiovascular diseases, including heart failure.
- Heart failure with reduced ejection fraction (HFrEF) is a complex condition where inflammatory processes play a significant role.
- Understanding shared inflammatory pathways between HFrEF and cancer may offer novel insights into disease progression and outcomes.
Purpose of the Study:
- To investigate the association of established inflammation-based scores with disease severity in patients with stable HFrEF.
- To evaluate the impact of these scores on overall survival in HFrEF patients.
- To compare these findings with a cohort of treatment-naïve cancer patients to identify similarities and differences in prognostic value.
Main Methods:
- Prospective enrollment of 443 HFrEF patients and 375 cancer patients between 2011 and 2017.
- Calculation of neutrophil-to-lymphocyte-ratio (NLR), monocyte-to-lymphocyte-ratio (MLR), platelet-to-lymphocyte-ratio (PLR), and prognostic nutritional index (PNI) at baseline.
- Statistical analysis including association with disease severity markers (NT-proBNP, NYHA class, tumor stage) and overall survival, with interaction analysis between disease groups.
Main Results:
- All inflammation scores (NLR, MLR, PLR, PNI) strongly correlated with disease severity (NT-proBNP, NYHA class) in HFrEF patients (p ≤ 0.001).
- In cancer patients, only PNI showed a significant association with tumor stage (p = 0.035).
- All scores were significantly associated with all-cause mortality in both HFrEF and cancer cohorts (p ≤ 0.014). Kaplan-Meier analysis confirmed prognostic power (log-rank p ≤ 0.026).
- A stronger increase in mortality risk per score increment was observed in HFrEF compared to cancer for PNI (p_interaction = 0.013) and PLR (p_interaction = 0.005).
Conclusions:
- Inflammation-based scores (NLR, MLR, PLR, PNI) are valuable indicators of disease severity and survival in HFrEF, mirroring their utility in cancer.
- The prognostic impact of PNI and PLR on mortality risk appears more pronounced in HFrEF than in malignant diseases.
- These findings highlight the shared role of inflammation in HFrEF and cancer, suggesting potential for unified therapeutic strategies targeting inflammatory pathways.
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