A Predictive Model for Acute Respiratory Distress Syndrome (ARDS) Mortality Using Red Cell Distribution Width (RDW)

CHEST Journal ◽  
2015 ◽  
Vol 148 (4) ◽  
pp. 182A
Author(s):  
Ala Alkhatib ◽  
Rania Esteitie ◽  
Lori Lyn Price ◽  
Peter LaCamera
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Predictive Model ◽  
Distress Syndrome ◽  
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.

scholarly journals Monocyte-to-lymphocyte ratio is associated with 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Lijuan Yang ◽  
Chang Gao ◽  
Fengyuan Li ◽  
Ling Yang ◽  
Jiahao Chen ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Area Under The Curve ◽  
Distribution Width ◽  
Albumin Ratio ◽  
Inflammatory Biomarker ◽  
Lymphocyte Ratio ◽  
The Relationship

Abstract Background Systemic inflammation relates to the initiation and progression of acute respiratory distress syndrome (ARDS). Neutrophil-to-lymphocyte ratio (NLR) and red blood cell distribution width (RDW)/albumin ratio have been reported to be predictive prognostic biomarkers in ARDS patients. However, the role of monocyte-to-lymphocyte ratio (MLR) as a prognostic inflammatory biomarker in a variety of diseases is rarely mentioned in ARDS. In this study, we explored the relationship between MLR and disease severity in ARDS patients and compared it with other indicators associated with 28-day mortality in patients with ARDS. Methods We retrospectively included 268 patients who fulfilled the Berlin definition of ARDS and were admitted to a single institute from 2016 to 2020. Clinical characteristics and experimental test data were collected from medical records within 24 h after the ARDS diagnosis. MLR, NLR, and RDW/albumin ratio levels were calculated. The primary clinical outcome was 28-day mortality. Logistic regression analysis was used to illustrate the relationship between indicators and 28-day mortality. Receiver operating characteristic (ROC) curve was used to evaluate the area under the curve (AUC), and propensity score matching (PSM) was employed to validate our findings. Results The median MLR values were higher for non-survivors than for survivors before and after matching (P<0.001, P=0.001, respectively). MLR values were significantly associated with 28-day mortality (OR 2.956; 95% CI 1.873–4.665; P<0.001). MLR and NLR indicators were combined for predictive efficacy analysis, and its AUC reached 0.750. There was a significant increase in 28-day mortality depending on the increasing MLR level: low MLR group 38 (20.4%), high MLR group 47 (57.3%) (P<0.001). Conclusions Higher MLR values were associated with 28-day mortality in patients with ARDS. Further investigation is required to verify this relationship with prospectively collected data.

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