Evidence map›Paper›PMID 27906969›Full record

ArticlePloS one2016

The Predictive Role of Red Cell Distribution Width in Mortality among Chronic Kidney Disease Patients.

Yao-Peng Hsieh, Chia-Chu Chang, Chew-Teng Kor, Yu Yang, Yao-Ko Wen, Ping-Fang Chiu

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Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yao-Peng HsiehDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Chia-Chu ChangDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Chew-Teng KorDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Yu YangDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Yao-Ko WenDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Ping-Fang ChiuDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, accumulating evidence has demonstrated that RDW independently predicts clinically important outcomes in many populations. However, the role of RDW has not been elucidated in chronic kidney disease (CKD) patients. We conducted the present study with the aim to evaluate the predictive value of RDW in CKD patients.

methodsA retrospective observational cohort study of 1075 stage 3-5 CKD patients was conducted in a medical center. The patients' baseline information included demographic data, laboratory values, medications, and comorbid conditions. The upper limit of normal RDW value (14.9%) was used to divide the whole population. Multivariate Cox regression analysis was used to determine the independent predictors of mortality.

resultsOf the 1075 participants, 158 patients (14.7%) died over a mean follow-up of approximately 2.35 years. The crude mortality rate was significantly higher in the high RDW group (high RDW group, 22.4%; low RDW group 11%, p <0.001). From the adjusted model, the high RDW group was correlated with a hazard ratio of 2.19 for overall mortality as compared with the low RDW group (95% CI = 1.53-3.09, p<0.001). In addition, the high RDW group was also associated with an increased risk for cardiovascular disease (HR = 2.28, 95% CI = 1.14-4.25, p = 0.019) and infection (HR = 1.9, 95% CI = 1.15-3.14, p = 0.012)) related mortality in comparison with the low RDW group.

conclusionsIn stage 3-5 CKD patients, RDW was associated with patient mortality of all-cause, cardiovascular disease and infection. RDW should be considered as a clinical predictor for mortality when providing healthcare to CKD patients.

Indexed as

Erythrocyte IndicesAgedCardiovascular DiseasesErythrocytesFemaleFollow-Up StudiesHumansInfectionsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID27906969
PMCPMC5132319

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.