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 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

scholarly journals New Diagnostic Parameter for Neonatal Sepsis: Red Cell Distribution Width Fluctuations

2021 ◽  
Author(s):  
Bin-Fang Guo ◽  
Yu-Chun Wang ◽  
Ping-Ping Xu
Keyword(s):  
Logistic Regression ◽  
Gestational Age ◽  
Neonatal Sepsis ◽  
Medical Information ◽  
Diagnostic Marker ◽  
Positive Association ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

Abstract Background: To evaluate the role of red cell distribution width (RDW) fluctuations in the diagnosis of neonatal sepsis. Methods: In this retrospective cohort study of the Medical Information Mart for Intensive Care III database (version 1.4), newborns with sepsis were matched with patients without sepsis to analyze RDW as a diagnostic marker. Those newborns were analyzed based on gestational age, sex, and ethnicity. Receiver operating characteristic (ROC) analysis and multiple logistic regression were used to evaluate RDW fluctuation for sepsis diagnosis. Results: A total of 2456 neonates were included. RDW fluctuations showed better accuracy than the maximum RDW did (area under the curve (AUC): 0.88 vs. 0.81, sensitivity 92.10% vs. 78.70%; specificity 71.70% vs. 69.30%, respectively). Furthermore, logistic regression analysis showed a positive association between RDW fluctuation and the diagnosis of sepsis (odds ratio 1.13; 95% confidence interval, 1.08–1.18) after adjusting for gestational age, hemoglobin, and white blood cell count. Conclusion: RDW fluctuations might be a potential diagnostic marker for NICU patients with sepsis.

scholarly journals Prognostic Value of the Hemoglobin/Red Cell Distribution Width Ratio in Resected Lung Adenocarcinoma

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 710
Author(s):  
Francesco Petrella ◽  
Monica Casiraghi ◽  
Davide Radice ◽  
Andrea Cara ◽  
Gabriele Maffeis ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Lung Adenocarcinoma ◽  
Disease Free Survival ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Free Survival ◽  
Node Involvement ◽  
Disease Free

Background: The ratio of hemoglobin to red cell distribution width (HRR) has been described as an effective prognostic factor in several types of cancer. The aim of this study was to investigate the prognostic role of preoperative HRR in resected-lung-adenocarcinoma patients. Methods: We enrolled 342 consecutive patients. Age, sex, surgical resection, adjuvant treatments, pathological stage, preoperative hemoglobin, red cell distribution width, and their ratio were recorded for each patient. Results: Mean age was 66 years (SD: 9.0). There were 163 females (47.1%); 169 patients (49.4%) had tumors at stage I, 71 (20.8%) at stage II, and 102 (29.8%) at stage III. In total, 318 patients (93.0%) underwent lobectomy, and 24 (7.0%) pneumonectomy. Disease-free survival multivariable analysis disclosed an increased hazard ratio (HR) of relapse for preoperative HRR lower than 1.01 (HR = 2.20, 95%CI: (1.30–3.72), p = 0.004), as well as for N1 single-node (HR = 2.55, 95%CI: (1.33–4.90), p = 0.005) and multiple-level lymph node involvement compared to N0 for both N1 (HR = 9.16, 95%CI:(3.65–23.0), p < 0.001) and N2 (HR = 10.5, 95%CI:(3.44–32.2, p < 0.001). Conclusion: Pre-operative HRR is an effective prognostic factor of disease-free survival in resected-lung-adenocarcinoma patients, together with the level of pathologic node involvement.

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