scholarly journals The Value of Red Cell Distribution Width (RDW) and Trauma-Associated Severe Hemorrhage (TASH) in Predicting Hospital Mortality in Multiple Trauma Patients

2019 ◽  
Vol 7 (1) ◽  
pp. 55-59
Author(s):  
Hamidreza Habibpour ◽  
Mehdi Torabi ◽  
Moghaddameh Mirzaee
Keyword(s):  
Hospital Mortality ◽  
Multiple Trauma ◽  
Red Cell Distribution Width ◽  
Trauma Patients ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Severe Hemorrhage ◽  
Multiple Trauma Patients

Admission Red Cell Distribution Width: A Novel Predictor of Massive Transfusion after Injury

2014 ◽  
Vol 80 (7) ◽  
pp. 685-689 ◽  
Author(s):  
Elena M. Paulus ◽  
Jordan A. Weinberg ◽  
Louis J. Magnotti ◽  
John P. Sharpe ◽  
Thomas J. Schroeppel ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Health Status ◽  
Massive Transfusion ◽  
Red Cell Distribution Width ◽  
Trauma Patients ◽  
Red Cell ◽  
Cell Distribution ◽  
Major Hemorrhage ◽  
Distribution Width ◽  
Chronic Health Status

Admission red cell distribution width (aRDW) has been shown to predict mortality in trauma patients by an unclear mechanism. It has been speculated that aRDW is a marker of chronic health status, but elevated RDW may also reflect recent hemorrhage. We hypothesized that aRDW is a predictor of major hemorrhage in trauma patients. Shock trauma patients at a Level I trauma center over 6.5 years were evaluated. Patients were stratified by aRDW quintile (Q1: less than 13%, Q2: 13.1 to 13.5%, Q3: 13.6 to 14.0%, Q4: 14.1 to 14.9%, Q5: 15.0% or greater). Massive transfusion (MT) was defined as 10 or more packed red blood cells in the first 24 hours. From multiple logistic regression, odds ratios with 95 per cent confidence intervals (CIs) were determined to evaluate the association between aRDW quintile and MT. Three thousand nine hundred ninety-four met study criteria. Overall MT incidence was 10 per cent and in-hospital mortality was 17 per cent. MT and mortality increased in a stepwise fashion by aRDW quintile ( P < 0.0001). From logistic regression, a threefold increased odds of MT was associated with aRDW Q4 (CI, 1.81 to 4.92), and a 3.5-fold increased odds of MT was associated with aRDW Q5 (CI, 2.70 to 5.83). aRDW independently predicted MT, suggesting that elevated aRDW is an indicator of major hemorrhage in trauma patients. The association between aRDW and mortality in trauma patients may be explained by acute hemorrhage rather than chronic health status.

scholarly journals Correlation of Early Total Leucocyte Count and Red Cell Distribution Width With Outcome in Trauma

2020 ◽  
Author(s):  
Bhavana Chowdary Madineni ◽  
Sreeramulu P N
Keyword(s):  
Hospital Stay ◽  
Leucocyte Count ◽  
Length Of Hospital Stay ◽  
Red Cell Distribution Width ◽  
Total Leucocyte Count ◽  
Trauma Patients ◽  
Red Cell ◽  
Cell Distribution ◽  
Blood Picture ◽  
Distribution Width

Abstract Background: Trauma is the leading cause of death in young adults. Risk stratification in patients with trauma remains challenging. There is a need for a readily available prognostic method to categorise these patients.Aims & Objectives: We aim to measure and correlate red cell distribution width and total leucocyte count in patients presenting with trauma within 24 hours of injury with the outcome.Methods: We included 52 trauma patients who were admitted in RLJH from November 2019 to April 2020, who did not require emergency surgery and analysed prospectively. Complete blood picture within 24 hours of injury was analysed and outcome measured in terms of length of hospital stay. Results: There was a statistically significant correlation found between TLC and Length of hospital stay (p<0.001). The correlation between RDW and Length of hospital stay was not statistically significant. The analysis showed that increased hospital stay was associated with high TLC and RDW% done within 24 hours of injury. Conclusion: TLC and RDW can be used as readily available and simple markers in early prediction of higher morbidity in patients presenting with trauma.

scholarly journals A Fast and Reliable Method to Interpret Short-Term Mortality in Perforated Peptic Ulcer: Red Cell Distribution Width is Sensitive and Specific

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Okan Murat Akturk ◽  
Mikail Çakır ◽  
Yaşar Murat Vardar ◽  
Doğan Yıldırım ◽  
Muzaffer Akıncı
Keyword(s):  
Peptic Ulcer ◽  
Confidence Interval ◽  
Hospital Mortality ◽  
Hematological Parameters ◽  
Red Cell Distribution Width ◽  
Peptic Ulcer Perforation ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Ulcer Perforation

Introduction. Peptic ulcer is an important health problem worldwide with a prevalence of around 5%. Peptic ulcer perforation is a potentially mortal complication of peptic ulcer disease. We aimed to investigate the potential use of red cell distribution width as a prognostic marker in peptic ulcer perforation. Methods. The files, operation notes, biochemical and hematological parameters, and prognosis of patients who were operated for a peptic ulcer perforation were reviewed in a retrospective cohort study. The relation of red cell distribution width (RDW) to main outcome in-hospital mortality was assessed. Results. The mean age of the 172 patients was 40 ± 17.89. There were 158 (92%) males and 14 (8%) females. The in-hospital mortality was 8.7% (15/172). The median RDW in the group with mortality was 15.00 (interquartile range (IQR): 14.30–17.20) compared with the median RDW in the group with no mortality as 13.2 (IQR: 12.80–14.00, p ≤ 0.001 ). Receiver operator characteristic curves were plotted for RDW to identify nonsurvivors and yielded a significant area under the curve as 0.812 (95% confidence interval: 0.682–0.942). The sensitivity and specificity of RDW at a cutoff value of 14.25% were calculated with an accuracy of 81.98 (95% confidence interval: 75.40–87.41) as 80.00 (51.91–95.67) and 82.17 (75.27–87.81), respectively. Conclusion. Increased RDW may be of use to interpret mortality in patients with peptic ulcer perforation.

scholarly journals Correlation of Early Total Leucocyte Count and Red Cell Distribution Width with Outcome in Trauma

2021 ◽  
Vol 10 (17) ◽  
pp. 1241-1241
Author(s):  
Bhavana Chowdary Madineni ◽  
Sreeramulu Patrapalli Nadipanna ◽  
Krishna Prasad Kamisetty
Keyword(s):  
Hospital Stay ◽  
Leucocyte Count ◽  
Pearson Correlation ◽  
Length Of Hospital Stay ◽  
Red Cell Distribution Width ◽  
Total Leucocyte Count ◽  
Trauma Patients ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

BACKGROUND Trauma is the leading cause of morbidity and mortality in young adults. Risk stratification in these patients remains challenging even today. There is a need for a readily available simple prognostic method to categorise these patients and predict the morbidity. We intend to measure and correlate red cell distribution width and total leucocyte count in patients presenting with trauma, within 24 hours of injury, with the outcome. METHODS We included 52 haemodynamically stable, previously healthy, trauma patients who were admitted from November 2019 to April 2020, who did not require emergency surgery and analysed them prospectively. Complete blood picture obtained within 24 hours of injury was analysed in terms of correlation with outcome. The outcome was measured in terms of length of hospital stay. Correlations were performed with the Pearson correlation coefficient. RESULTS There was a statistically significant correlation between total leucocyte count (TLC) and length of hospital stay (P < 0.001). The positive correlation found between red cell distribution width (RDW) and length of hospital stay was not statistically significant. The analysis showed that high leucocyte count and red cell distribution width done within 24 hours of injury, increased patients’ stay in the hospital. CONCLUSIONS TLC and RDW can be used as readily available and simple markers, as an adjunct in early prediction of higher morbidity in patients presenting with trauma. KEY WORDS Injuries, Polytrauma, Blood Cell Count, Leucocytosis, Red Cell Indices

Red cell distribution width is predictive of mortality in trauma patients

2013 ◽  
Vol 74 (4) ◽  
pp. 1021-1026 ◽  
Author(s):  
Sarah Majercik ◽  
Jolene Fox ◽  
Stacey Knight ◽  
Benjamin D. Horne
Keyword(s):  
Red Cell Distribution Width ◽  
Trauma Patients ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width
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