Computed Tomography Evaluation of Extracellular Volume for Predicting Prognosis in Patients with Severe Renal Dysfunction on Dialysis

<b>Introduction</b>: Extracellular volume (ECV) analysis using computed tomography is recognized as a potential method for diagnostic application. It is currently the only noninvasive method for quantitatively evaluating myocardial fibrosis in dialysis patients for whom gadolinium contrast agents are contraindicated. In this study, we assessed the utility of ECV measurement via CT in the left ventricular (LV) myocardium (LVM) to predict major adverse cardiac events (MACEs) in dialysis patients. <b>Materials and methods</b>: We analyzed 57 dialysis patients who underwent cardiac CT and assessed the utility of LVM ECV (LV-ECV) for predicting MACEs. All the patients were followed for a median of 11 months, and MACEs occurred in 15 cases (26%). <b>Results</b>: LV-ECV and plasma brain natriuretic peptide levels were higher in subjects with MACEs than those without (40.29 ± 8.23% vs. 33.76 ± 4.60% and 1481 ± 997 vs. 807 ± 1109 pg/mL; both <i>p</i> < 0.05). Significant valvular disease was more frequently detected in patients with MACEs than those without (60% vs. 24%; <i>p</i> = 0.023). Serum hematocrit levels were significantly lower in patients with MACEs than those without (29 ± 5 vs. 34 ± 5; <i>p</i> < 0.001). The administration of statin was significantly lower in patients with MACEs than in those without (13% vs. 48%; <i>p</i> = 0.029). A receiver operating characteristic (ROC) curve analysis was performed using LV-ECV for predicting MACEs. The area under the curve was 0.80, and the best cut-off value of LV-ECV was 37.26% (<i>p</i> = 0.0003). In a Cox proportional hazards model, LV-ECV ≥ 37.26% was the only significant independent predictor of MACEs (<i>p</i> = 0.020). <b>Conclusions</b>: LV-ECV measured using CT is a useful predictor of MACEs in dialysis patients.

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Journal
Journal of Clinical Medicine
Published
2024-12-12
DOI
https://doi.org/10.3390/jcm13247561
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
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article

Computed Tomography Evaluation of Extracellular Volume for Predicting Prognosis in Patients with Severe Renal Dysfunction on Dialysis

Hiroyuki Takaoka, Noriko Suzuki-Eguchi, Shuhei Aoki, Joji Ota et al.
Journal of Clinical Medicine
Cardiac Imaging and Diagnostics
article

Computed Tomography Evaluation of Extracellular Volume for Predicting Prognosis in Patients with Severe Renal Dysfunction on Dialysis

Hiroyuki Takaoka, Noriko Suzuki-Eguchi, Shuhei Aoki, Joji Ota, Haruka Sasaki, Kazuki Yoshida, Makiko Kinoshita, Katsuya Suzuki, Yusei Nishikawa, Satomi Yashima, Hiroki Goto, Yoshio Kobayashi, Moe Matsumoto, Y. Noguchi
article en

Abstract

<b>Introduction</b>: Extracellular volume (ECV) analysis using computed tomography is recognized as a potential method for diagnostic application. It is currently the only noninvasive method for quantitatively evaluating myocardial fibrosis in dialysis patients for whom gadolinium contrast agents are contraindicated. In this study, we assessed the utility of ECV measurement via CT in the left ventricular (LV) myocardium (LVM) to predict major adverse cardiac events (MACEs) in dialysis patients. <b>Materials and methods</b>: We analyzed 57 dialysis patients who underwent cardiac CT and assessed the utility of LVM ECV (LV-ECV) for predicting MACEs. All the patients were followed for a median of 11 months, and MACEs occurred in 15 cases (26%). <b>Results</b>: LV-ECV and plasma brain natriuretic peptide levels were higher in subjects with MACEs than those without (40.29 ± 8.23% vs. 33.76 ± 4.60% and 1481 ± 997 vs. 807 ± 1109 pg/mL; both <i>p</i> < 0.05). Significant valvular disease was more frequently detected in patients with MACEs than those without (60% vs. 24%; <i>p</i> = 0.023). Serum hematocrit levels were significantly lower in patients with MACEs than those without (29 ± 5 vs. 34 ± 5; <i>p</i> < 0.001). The administration of statin was significantly lower in patients with MACEs than in those without (13% vs. 48%; <i>p</i> = 0.029). A receiver operating characteristic (ROC) curve analysis was performed using LV-ECV for predicting MACEs. The area under the curve was 0.80, and the best cut-off value of LV-ECV was 37.26% (<i>p</i> = 0.0003). In a Cox proportional hazards model, LV-ECV ≥ 37.26% was the only significant independent predictor of MACEs (<i>p</i> = 0.020). <b>Conclusions</b>: LV-ECV measured using CT is a useful predictor of MACEs in dialysis patients.

Journal of Clinical MedicineVol. 13(24)
Chiba University (JP), Chiba University Hospital (JP)
Chiba University, Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 60%
Cardiac Imaging and Diagnostics
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