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Published on: October 2, 2020
The relation between hemoglobin variability and carotid intima-media thickness in chronic hemodialysis patients
Safa Ersen Ganidagli1, Orcun Altunoren2, Ertuğrul Erken3
1Faculty of Medicine, Internal Medicine Department, Kahramanmaras Sutcu Imam University, Kahramanmaraş, Turkey.
Insights
Hemoglobin variability is linked to increased carotid intima-media thickness (CIMT) in hemodialysis patients. Patients with high hemoglobin variability showed significantly higher CIMT, suggesting a potential risk factor for atherosclerosis.
Area of Science:
- Nephrology
- Cardiology
- Vascular Biology
Background:
- Hemoglobin variability is a frequent complication in hemodialysis (HD) patients.
- Previous research linked hemoglobin variability to left ventricular mass index.
- The relationship between hemoglobin variability and carotid intima-media thickness (CIMT) requires further investigation.
Purpose of the Study:
- To investigate the association between hemoglobin variability and CIMT in patients undergoing maintenance hemodialysis.
- To determine if different hemoglobin trajectories correlate with varying levels of CIMT.
Main Methods:
- Retrospective analysis of 12-month hemoglobin (Hb) data from 135 HD patients.
- Classification of Hb levels (Low, Normal, High) and Hb trajectories (Low-Normal, Normal-High, Low-High).
- Measurement of common carotid artery intima-media thickness (CIMT) and comparison across Hb trajectory groups.
Main Results:
- The Low-High (LH) hemoglobin trajectory group exhibited significantly higher mean CIMT (0.744 ± 0.139 mm) compared to Low-Normal (LN) (0.601 ± 0.107 mm) and Normal-High (NH) (0.604 ± 0.134 mm) groups (p < 0.001).
- Demographic and laboratory features, including age, diabetes, hypertension, and cardiovascular disease, were similar across the groups.
- No significant differences were observed in duration of hemodialysis, adequacy, serum lipids, or calcium-x-phosphate products.
Conclusions:
- The study demonstrates a significant association between high hemoglobin variability (LH group) and increased CIMT in hemodialysis patients.
- This finding suggests that hemoglobin variability may be an independent risk factor for atherosclerosis in this population.
- This is the first study to report a link between hemoglobin variability and elevated CIMT in hemodialysis patients.
Purpose:
Hemoglobin variability is a common problem among hemodialysis patients. We have previously demonstrated an association between Hb variability and left ventricular mass index. In this study, we investigated a possible relation between Hb variability and carotid intima-media thickness (CIMT).
Methods:
Twelve-month hemoglobin (Hb) values of 135 patients on maintenance hemodialysis were examined retrospectively. The range of 11-12 gr/dl was accepted as normal according to the KDOQI guidelines. Hemoglobin levels were classified as: Hb < 11 gr/dl:Low, Hb = 11-12 gr/dl:Normal and Hb > 12 gr/dl:High. According to 12-month Hb trajectory, the patients were divided into three groups: low-normal (LN), normal-high (NH) and low-high (LH). The CIMT measurements were taken on common carotid arteries bilaterally, and the average of these measurements were taken. The groups were compared in terms of CIMT measurements, demographic and laboratory features.
Results:
The LN, NH and LH groups were similar in terms of age, gender, incidence of diabetes mellitus, hypertension and cardiovascular diseases. Duration of hemodialysis, hemodialysis adequacy, serum lipids and CaxP products were also similar among the groups. The mean CIMT value was 0.601 ± 0.107, 0.744 ± 0.139 and 0.604 ± 0.134 mm in the LN, LH and NH groups, respectively (p < 0.001). CIMT was significantly higher in LH than in the other two groups.
Conclusions:
In our study, when the three groups with similar risk factors for atherosclerosis were examined, we found that the LH group with the highest hemoglobin variability has the highest CIMT. This study is the first study to demonstrate that Hb variability is associated with an increase in CIMT in HD patients.
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