Red blood cell distribution width is an independent predictor of mortality in acute kidney injury patients treated with continuous renal replacement therapy

Oh, Hyung Jung; Park, Sun-Hee; Kim, Jwa Kyung; Yoo, Dong Eun; Kim, Seung Jun; Han, Seung Hyeok; Kang, Shin Wook; Choi, Kyu Hun; Yoo, Tae Hyun

doi:10.1093/ndt/gfr307

Cited by 145 publications

(133 citation statements)

References 31 publications

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“…8 Recently, RDW not only has been suggested to be related with cardiovascular disease mortality in the general population 9,10 , but also has been treated as an independent predictor of mortality in patients with heart failure, 11 stroke, 12 pulmonary arterial hypertension 13,14 and acute kidney injury. 15 Tsuboi et al also found that RDW was significantly associated with increased all-cause mortality in DM patients. 16 It is known that DM is a chronic condition with increased oxidative stress and vascular inflammation while RDW is also found to be associated with some inflammatory cytokines, and oxidative stress has been known to play a major role in the pathogenesis of renal function damage through some inflammatory markers.…”

Section: Introductionmentioning

confidence: 93%

Association between red blood cell distribution and renal function in patients with untreated type 2 diabetes mellitus

Zhang

Che

et al. 2015

Renal Failure

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We assessed whether red cell distribution width (RDW) is associated with microalbuminuria (MAU) in a group of 320 patients with newly diagnosed type 2 diabetes mellitus (T2DM), recruited in Zhengzhou. Patients were divided into normal group and MAU group. Compared with the normal group, the patients with MAU had higher red blood cell count (p ¼ 0.005) and RDW (p50.001). The multiple logistic regression indicated that RDW (OR ¼ 3.89, 95% CI: 1.98-7.66, p50.001) was an independent risk factor of MAU in newly diagnosed T2DM. Other factors include smoking (OR ¼ 4.44, 95% CI: 2.90-8.72, p50.001), higher waist index (OR ¼ 2.17, 95% CI: 1.89-5.26, p ¼ 0.002), FBG level (OR ¼ 2.05, 95% CI: 1.21-3.84, p ¼ 0.008) and uric acid level (OR ¼ 2.18, 95% CI: 1.05-4.52, p ¼ 0.037). The receiver operating characteristic (ROC) curves explored the relationship between MAU and RDW. The area under the curve was 0.79 (95% CI: 0.74-0.84; p50.001). Using a cut-off point of 12.8, the RDW predicted MAU in the T2DM patients with a sensitivity of 71.3% and specificity of 66.9%. RDW may be independently associated with MAU in patients with newly diagnosed T2DM. RDW may be treated as effective predictive index in the evaluation of diabetes nephropathy or diabetes-associated complications.

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Section: Introductionmentioning

confidence: 93%

Association between red blood cell distribution and renal function in patients with untreated type 2 diabetes mellitus

Zhang

Che

et al. 2015

Renal Failure

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“…infarction (11,13), stroke (8), cancer (26), trauma (20), chronic obstructive pulmonary disease (22), community-acquired pneumonia (15), acute kidney injury (19), pulmonary arterial hypertension (16), peripheral arterial disease (14), and critical illness (17) as well as unselected hospitalized patients (6,21) and the general nonmedical nationally representative US population (9,12). Associations of RDW with nonfatal events and outcomes have also been found, including risk of incident heart attack (10, 23), incident heart failure (10, 23), heart failure hospitalization (5, 7), 10-year coronary heart disease diagnosis (12), atrial fibrillation (10), stroke (10), cancer stage (26), complicated hospitalization (15), length of hospital stay (24), bloodstream infection (17), major bleeding (27), vascular complications (27), and many other outcomes.…”

Section: L I N I C a L M E D I C I N Ementioning

confidence: 99%

Extreme erythrocyte macrocytic and microcytic percentages are highly predictive of morbidity and mortality

Horne¹,

Bennett²,

Muhlestein³

et al. 2018

JCI Insight

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IntroductionFor more than 80 years, the degree of anisocytosis has been recognized as a useful characteristic for differentiating types of anemia (1). Measured as the coefficient of variation of RBC size, the addition of the red cell distribution width (RDW) to the complete blood count (CBC) around 1980 brought the evaluation of anemia types and the early diagnosis of iron deficiency anemia into routine practice (2, 3). The discovery BACKGROUND. The red cell distribution width (RDW) is associated with health outcomes. Whether non-RDW risk information is contained in RBC sizes is unknown. This study evaluated the association of the percentage of extreme macrocytic RBCs (%Macro, RBC volume > 120 fl) and microcytic RBCs (%Micro, RBC volume < 60 fl) and the RDW-size distribution (RDW-sd) with mortality and morbidity.

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“…Similar to our study, Hyung et al observed that RDW significantly correlated with WBC count in patients with acute kidney injury. 30 These results suggested that as RDW level.…”

Section: Discussionmentioning

confidence: 87%

Is the red cell distribution width strong predictor for treatment response in primary glomerulonephritides?

et al. 2014

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Background: Novel biomarkers are needed to predict the response to treatment in patients with nephrotic syndrome (NS) due to primary glomerulonephritides (PGN). We aimed to test the predictive value of red blood cell distribution width (RDW) for estimation of response to therapy in adult patients with NS. Study design, setting & participants, and intervention: We performed a prospective study including 176 patients with NS due to PGN. Patients were divided into three groups according to their response to the treatment. Group 1 was composed of patients with complete remission whereas group 2 was composed of patients with partial remission and group 3 was composed of patients who were resistant to the treatment. Results: The highest baseline mean RDW value was found in group 3 patients (17.8 ± 1.8) whereas the lowest in group 1 (13.4 ± 0.7) before treatment (p50.05). We found a significant decrease in RDW value after an effective treatment in groups 1 and group 2 (p50.05). However, there was no significant change in RDW values after treatment in group 3 (p40.05). Most of the patient with complete remission had base-line RDW level 14% (n ¼ 45, 90%) (p50.001, Kendal Tau: À0.86), and most of the patients who were resistant to the treatment had base-line RDW level p415% (n ¼ 68, 86.1%) (p50.001, Kendal Tau: À0.87). Conclusion: Our results suggest that pre-treatment RDW value is a promising novel biomarker for predicting response to the treatment in adult patients with NS due to PGN.

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Red blood cell distribution width is an independent predictor of mortality in acute kidney injury patients treated with continuous renal replacement therapy

Abstract: Our study demonstrates that RDW could be an additive predictor for all-cause mortality in AKI patients on CRRT treatment in the ICU.

Cited by 145 publications

References 31 publications

Association between red blood cell distribution and renal function in patients with untreated type 2 diabetes mellitus

Association between red blood cell distribution and renal function in patients with untreated type 2 diabetes mellitus

Extreme erythrocyte macrocytic and microcytic percentages are highly predictive of morbidity and mortality

Is the red cell distribution width strong predictor for treatment response in primary glomerulonephritides?

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