A Prognostic Indicator In Acute Respiratory Distress Syndrome: Is Red Cell Distribution Width An Option?

2012 ◽  
Author(s):  
Muhammad I. Ali ◽  
Hamad Azam ◽  
Nader Mahmood ◽  
Vincent A. De Bari ◽  
M Anees Khan
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Prognostic Indicator ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

scholarly journals Relation between Red Cell Distribution Width and Mortality in Critically Ill Patients with Acute Respiratory Distress Syndrome

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Benji Wang ◽  
Yuqiang Gong ◽  
Binyu Ying ◽  
Bihuan Cheng
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Distress Syndrome ◽  
Independent Predictor ◽  
Cell Distribution ◽  
Distribution Width ◽  
Mimic Iii

Background. Currently, evidence regarding the predictive significance of red blood cell distribution width (RDW) among patients with acute respiratory distress syndrome (ARDS) remains scarce. The aim of this study was to determine the prognostic value of RDW for critically ill patients with ARDS. Methods. We studied all patients with ARDS from the Multiparameter Intelligent Monitoring in Intensive Care Database III (MIMIC-III) for whom RDW was available. The clinical outcomes were 30-day and 90-day mortality. Analyses included logistic multivariate regression model, Receiver Operating Characteristic (ROC) analysis, and subgroup analysis. Results. A total of 404 eligible ARDS patients were included. After adjustment for several clinical characteristics related to 30-day mortality, the adjusted OR (95% CIs) for RDW levels ≥14.5% was 1.91 (1.08, 3.39). A similar trend was observed for 90-day mortality. The RDW levels ≥14.5% were also an independent predictor of 90-day mortality (OR, 2.56; 95% CI, 1.50 to 4.37; P = 0.0006) compared with the low RDW levels (<14.5%). In subgroup analyses, RDW showed no significant interactions with other relevant risk factors for 30-day mortality. Conclusions. RDW appeared to be a novel, independent predictor of mortality in critically ill patients with ARDS.

scholarly journals Prognostic Value of the Red Cell Distribution Width in Patients with Sepsis-Induced Acute Respiratory Distress Syndrome: A Retrospective Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Huabin Wang ◽  
Junbin Huang ◽  
Wenhua Liao ◽  
Jiannan Xu ◽  
Zhongyuan He ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Cohort Study ◽  
Respiratory Distress Syndrome ◽  
Retrospective Cohort ◽  
Prognostic Value ◽  
Distress Syndrome ◽  
Cox Regression ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

Objective. The prognostic value of the red cell distribution width (RDW) in patients with sepsis-induced acute respiratory distress syndrome (ARDS) is still elusive. This study is aimed at determining whether RDW is a prognostic indicator of sepsis-induced ARDS. Methods. This retrospective cohort study included 1161 patients with sepsis-induced ARDS. The datasets were acquired from the Medical Information Mart for Intensive Care III database. The locally weighted scatter-plot smoothing technique, Cox regression, Kaplan-Meier estimator, and subgroup analysis were carried out to evaluate the association between RDW and 90-day mortality. Results. The RDW and mortality had a roughly linear increasing relationship. The Cox regression model results were as follows: for level 2 ( 14.5 % < RDW < 16.2 % ), hazard ratio   HR = 1.35 , 95% confidence interval   CI = 1.03 – 1.77 , and for level 3 ( RDW ≥ 16.2 % ), HR = 2.07 , 95% CI = 1.59 – 2.69 . The following results were obtained when RDW was treated as a continuous variable: HR = 1.11 , 95 % CI = 1.06 – 1.15 . The P values of the interaction between the RDW and covariates were greater than 0.05. Conclusion. RDW is a new independent prognostic marker for patients with sepsis-induced ARDS.

The Red Cell Distribution Width as a Prognostic Indicator in Idiopathic Pulmonary Fibrosis

CHEST Journal ◽  
2013 ◽  
Vol 143 (6) ◽  
pp. 1692-1698 ◽  
Author(s):  
Steven D. Nathan ◽  
Taylor Reffett ◽  
A. Whitney Brown ◽  
Chelsea P. Fischer ◽  
Oksana A. Shlobin ◽  
...  
Keyword(s):  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Prognostic Indicator ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

scholarly journals Red cell distribution width (RDW): a prognostic indicator of severe COVID-19

2020 ◽  
Vol 8 (19) ◽  
pp. 1230-1230
Author(s):  
Changzheng Wang ◽  
Hongmei Zhang ◽  
Xiaocui Cao ◽  
Rongrong Deng ◽  
Yi Ye ◽  
...  
Keyword(s):  
Prognostic Indicator ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

scholarly journals High Red Cell Distribution Width as a Biomarker of Mortality in Critically Ill Paediatric Patients

2020 ◽  
Vol 40 (3) ◽  
pp. 210-216
Author(s):  
Eva Gauchan ◽  
Sahisnuta Basnet
Keyword(s):  
Intensive Care ◽  
Critically Ill ◽  
Prognostic Indicator ◽  
Red Cell Distribution Width ◽  
Receiver Operating Curve ◽  
Critically Ill Children ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Complicated Course

Introduction: Red cell distribution width (RDW) is a frequently overlooked parameter in routine haematological reports. It is a simple and inexpensive test which has been found by many adult studies to be a prognostic indicator of mortality in intensive care units. The objective of this study was to see if high RDW could be used as a marker to predict mortality in critically ill children. Methods: This was a prospective observational study conducted in the paediatric intensive care unit (PICU) of a tertiary hospital of Western Nepal over a period of one year. Study subjects were selected by purposive sampling method. RDW at admission and relative change in RDW (ΔRDW) was compared to see if they had any role in predicting mortality in this group of children. Receiver operating curve analysis was plotted to find an optimal cut-off point to define high and low RDW and various outcome parameters were analysed. Results: Out of 131 children, there were 12 (9.1%) mortalities. Admission RDW was higher in the death group as compared to the survivor group (17 vs 14.6; p = 0.012). Similar finding was seen with ΔRDW (0.45 vs 0.00; p = 0.006). ΔRDW above the cut-off value of 0.15 was found to be associated with a generally more complicated course during hospitalisation as well as had more risk of mortality. Conclusions: Both RDW and ΔRDW above the cut-off value were found to be associated with mortality. In addition, high ΔRDW was also found to predict a more complicated course during hospitalisation.

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