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Beyond the Guidelines: The Critical Role of Type 1 Iron Deficiency in Predicting Mortality in Patients with Heart
Tuğce Çolluoğlu1, Tuğba Kapanşahin1, Yeşim Akın1
1Department of Cardiology, Karabük University, Faculty of Medicine, Karabük, Türkiye.
Insights
Type 1 iron deficiency (ID) in heart failure (HF) patients predicts higher mortality. This specific type of ID, unlike others, independently increases the risk of death within one year for those with HF.
Area of Science:
- Cardiology
- Hematology
- Internal Medicine
Background:
- Iron deficiency (ID) is common in heart failure (HF) and may indicate poor prognosis.
- Existing criteria for ID may not fully capture the risk associated with depleted iron stores in HF patients.
Purpose of the Study:
- To investigate the prognostic value of newly defined types of iron deficiency in patients with heart failure.
- To determine if specific ID classifications predict one-year all-cause mortality in HF.
Main Methods:
- 570 heart failure patients were categorized into Type 1 ID (low transferrin saturation with anemia), Type 2 or 3 ID (low transferrin saturation with no/mild anemia), and guideline-defined ID.
- Logistic and Cox regression analyses were used to identify predictors of one-year all-cause mortality.
Main Results:
- Type 1 ID was present in 30.7% of patients, Type 2 or 3 in 43.9%, and guideline ID in 72.8%.
- One-year mortality rates were 38.3% for Type 1 ID, 22.7% for Type 2 or 3 ID, and 26.0% for guideline ID.
- Type 1 ID (OR: 1.830) and increased age were independent predictors of one-year mortality.
Conclusions:
- Type 1 iron deficiency is a significant independent predictor of one-year all-cause mortality in heart failure patients.
- This contrasts with Type 2/3 ID and guideline-defined ID, suggesting Type 1 ID carries a distinct prognostic implication in HF.
Objective:
The criteria for iron deficiency (ID) may encompass depleted iron stores alongside unmet iron demands by cardiomyocytes, potentially serving as predictors of adverse outcomes in patients with heart failure (HF).
Method:
We included 570 patients with HF. Based on newly proposed definitions of ID, patients were categorized into three groups: Type 1 (transferrin saturation [TSAT] < ≈15-16% with anemia), Type 2 or 3 (TSAT < ≈20% with no or mild anemia) and those meeting HF guideline-defined ID criteria. Binary logistic regression was used to identify independent predictors of one-year all-cause mortality in patients with HF. Cox proportional hazard regression was performed to assess the impact of Type 1 ID on mortality.
Results:
Among the 570 HF patients, 175 (30.7%) had Type 1 ID, 250 (43.9%) had Type 2 or 3 ID, and 415 (72.8%) met the guideline-defined criteria for ID. One-year all-cause mortality rates were 38.3% in patients with Type 1 ID, 22.7% in those with Type 2 or 3 ID, and 26.0% in those meeting guideline ID criteria. Increased age (odds ratio [OR]: 1.054, 95% confidence interval [CI]: 1.025-1.084) and Type 1 ID (OR: 1.830, 95% CI: 1.044-3.208) were independent predictors of one-year all-cause mortality. Cox regression analysis demonstrated an increased risk of mortality in HF patients with Type 1 ID compared to those without, in both unadjusted (hazard ratio [HR]: 2.289, 95% CI: 1.644-3.186, P < 0.001) and adjusted (HR: 1.543, 95% CI: 1.070-2.225, P = 0.020) models.
Conclusion:
Type 1 ID was an independent predictor of one-year all-cause mortality in patients with HF, unlike Type 2 or 3 ID and guideline-defined ID. Patients with Type 1 ID with HF had a higher overall mortality risk compared to those without Type 1 ID.
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