Usefulness of serial measurement of the red blood cell distribution width to predict 28-day mortality in patients with trauma

Association of red blood cell distribution width with mortality among multiple trauma patients

Background

Identifying the severity of trauma to provide timely and adequate treatment and predict the prognosis are some of the significant challenges in trauma management. Increased red blood cell distribution width (RDW) is associated with several pathologies and associated mortality. This study aims to evaluate the RDW in predicting 24 h and 30-day mortality among multiple trauma patients.

Methods

In this retrospective study, multiple trauma patients with ISS ≤16 were included. Blood samples of the patients were collected at 1 h and 24 h of the referral to determine RDW. Demographic data, 24 h and 30-day mortality, injury severity score (ISS), and RDW outcomes were evaluated for all the patients.

Results

Of the 300 patients included in the study, 52 patients died in the first 24 h, and 85 patients within 30 days. One hour and 24 h RDW were not significantly different in 30-day mortality patients, P=0.104 and P=0.156, respectively. RDW in 30-day mortality patients was not significantly different at 1 h and 24 h, P-value=0.875. The means ISS in 24 h, 30-day mortality and survivors was significantly different, P<0.001.

Conclusion

Our study does not report a significant increase in RDW among 24 h and 30-day mortality and survivor patients. ISS was significantly different among the two groups.

Red blood cell distribution width and Charlson comorbidity index help to identify frail polytraumatized patients : Experiences from a level I trauma center

INTRODUCTION

Little is known about the potential impact of the red blood cell distribution width (RDW) and pre-existing comorbidities on the late-phase survival of polytraumatized patients.

METHODS

A total of 173 polytraumatized patients were included retrospectively in this cohort study in a level I trauma center from January 2012 to December 2015. The Charlson comorbidity index (CCI) scores and RDW values were evaluated.

RESULTS

Out of all polytraumatized patients (n = 173), 72.8% (n = 126) were male, the mean ISS was 31.7 points (range 17-75) and the mean age was 45.1 years (range 18-93 years). Significantly higher RDW values (13.90 vs. 13.37; p = 0.006) and higher CCI scores (3.38 vs. 0.49; p < 0.001) were seen in elderly polytraumatized patients (age > 55 years). RDW values > 13.75% (p = 0.033) and CCI scores > 2 points (p = 0.001) were found to have a significant influence on the late-phase survival of polytraumatized patients. Age > 55 years (p = 0.009, HR 0.312; 95% confidence interval (CI) 0.130-0.749) and the presence of severe traumatic brain injury (TBI) (p = 0.007; HR 0.185; 95% CI 0.054-0.635) remained as independent prognostic factors on the late-phase survival after multivariate analysis.

CONCLUSION

Even younger elderly polytraumatized patients (> 55 years of age) showed significant higher RDW values and higher CCI scores. In addition to the presence of severe TBI and age > 55 years, RDW value > 13.75% on admission and CCI score > 2 might help to identify the "younger" frail polytraumatized patient at risk.

A Retrospective Cohort Study: Predicting 90-Day Mortality for ICU Trauma Patients with a Machine Learning Algorithm Using XGBoost Using MIMIC-III Database

Objective

The aim of this study was to develop and validate a machine learning-based predictive model that predicts 90-day mortality in ICU trauma patients.

Methods

Data of patients with severe trauma were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The performances of mortality prediction models generated using nine machine learning extreme gradient boosting (XGBoost), logistic regression, random forest, AdaBoost, multilayer perceptron (MLP) neural networks, support vector machine (SVM), light gradient boosting machine (GBM), k nearest neighbors (KNN) and gaussian naive bayes (GNB). The performance of the model was evaluated in terms of discrimination, calibration and clinical application.

Results

We found that the accuracy, sensitivity, specificity, PPV, NPV and F1 score of our proposed XGBoost model were 82.8%, 79.7%, 77.6%, 51.2%, 91.5% and 0.624, respectively. Among the nine models, the XGBoost model performed best. Compared with traditional logistic regression, the calibration curves of the XGBoost model and decision curve analysis (DCA) performed well.

Conclusion

Our study shows that the XGBoost model outperforms other machine learning models in predicting 90-day mortality in trauma patients. It can be used to assist clinicians in the early identification of mortality risk factors and early intervention to reduce mortality.

Evaluation of red blood cell distribution width, neutrophil-to-lymphocyte ratio, and other hematologic parameters in canine acute pancreatitis

OBJECTIVE

To determine if RBC distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), and other hematological parameters are associated with increased odds of in-hospital mortality, increased length of hospitalization (LOH), or disease severity as measured by the Canine Acute Pancreatitis Severity (CAPS) score in dogs with acute pancreatitis (AP).

DESIGN

Retrospective, multicenter study from January 2016 to August 2020.

SETTING

Four private emergency and specialty referral centers.

ANIMALS

On initial case search, 118 client-owned dogs were identified with a clinical diagnosis of AP. Out of these cases, 114 dogs met inclusion criteria, defined as sudden onset of ≥2 compatible clinic signs (lethargy, anorexia, vomiting, or abdominal pain), a specific canine pancreatic lipase concentration >400 μg/L, hospital admission, as well as CBC and serum biochemistry run within 48 hours of initial hospitalization. Disease severity was calculated and measured using the CAPS score, in addition to LOH and in-hospital mortality.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Clinical endpoints were in-hospital mortality, LOH, and disease severity, as evaluated by the CAPS score. Overall in-hospital mortality was 36.8%. NLR was significantly associated with survival, with a higher percentage being associated with an increased likelihood of nonsurvival (odds ratio: 1.1, 95% confidence interval: 1.0-1.2; P = 0.006, adjusted P = 0.04). Increased NLR was found to be significantly associated with a longer LOH based on the unadjusted P-value (P = 0.02) but was not statistically significant based on a P-value adjusted for multiple comparisons (P = 0.12). No significant associations were noted when RDW, platelet-to-lymphocyte ratio, WBC count, mean platelet volume, RDW-to-platelet ratio, or RDW-to-total serum calcium ratio was evaluated against outcome measures.

CONCLUSIONS

This study retrospectively evaluated the prognostic utility of several readily available hematological parameters in dogs hospitalized for AP. Dogs with an increased NLR may have a higher risk of in-hospital mortality and increased LOH, although future prospective studies are necessary to confirm these findings.

Red Blood Cell Distribution Width as a Novel Parameter in Canine Disorders: Literature Review and Future Prospective

Red blood cell distribution width (RDW) is a quantitative laboratory parameter applied for the measurement of anisocytosis and is a reliable and inexpensive method for clinical classification of anemia. An increased RDW reflects a great heterogeneity in the size of red blood cells typical of regenerative and iron-deficiency anemia. In humans, numerous and recent studies have shown a relationship between increased RDW and the risk of morbidity and mortality in patients with various disorders. In particular, a strong association has been established between changes in RDW and the risk of adverse outcome in humans with diseases affecting different organs or systems. Following the human literature, some studies have recently been conducted trying to clarify the clinical role of RDW in various animal disorders, particularly in dogs. In this review, we summarize and critically evaluate the results of the studies based on the measurement of RDW in dogs. We also emphasize the need for further and more extensive studies on the use of this simple and inexpensive parameter in animals.

Red cell distribution width/albumin ratio and 90-day mortality after burn surgery

Background

Red cell distribution width (RDW) and serum albumin concentration are associated with postoperative outcomes. However, the usefulness of the RDW/albumin ratio in burn surgery remains unclear. Therefore, we evaluated the association between RDW/albumin ratio and 90-day mortality after burn surgery.

Methods

Between 2013 and 2020, a retrospective review of patients in a burn intensive care unit (ICU) was performed. Receiver operating characteristic curve, multivariate Cox logistic regression, multivariate logistic regression and Kaplan–Meier analyses were conducted to evaluate the association between RDW/albumin ratio and 90-day mortality after burn surgery. Additionally, prolonged ICU stay rate (>60 days) and ICU stay were assessed.

Results

Ninety-day mortality was 22.5% (210/934) in burn patients. Risk factors for 90-day mortality were RDW/albumin ratio at postoperative day 1, age, American Society of Anesthesiologists physical status, diabetes mellitus, inhalation injury, total body surface area burned, hypotensive event and red blood cell transfusion volume. The area under the curve of the RDW/albumin ratio at postoperative day 1 to predict 90-day mortality, after adjusting for age and total body surface area burned, was 0.875 (cut-off value, 6.8). The 90-day mortality was significantly higher in patients with RDW/albumin ratio >6.8 than in those with RDW/albumin ratio ≤6.8 (49.2% vs 12.3%, p < 0.001). Prolonged ICU stay rate and ICU stay were significantly higher and longer in patients with RDW/albumin ratio >6.8 than in those with RDW/albumin ratio ≤6.8 (34.5% vs 26.5%; 21 [11–38] vs 18 [7–32] days).

Conclusion

RDW/albumin ratio >6.8 on postoperative day 1 was associated with higher 90-day mortality, higher prolonged ICU stay rate and longer ICU stay after burn surgery.

Red blood cell distribution width and outcome in trauma patients

Context

Red blood cell distribution width (RDW) has been used to predict mortality during infection and inflammatory diseases. It also been purported to be predictive of mortality following traumatic injury.

Objective

To identify the role of RDW in predicting mortality in trauma patients. We also sought to identify the role of RDW in predicting the development of sepsis in trauma patients.

Methods

A retrospective observational study was performed of the medical records for all adult trauma patients admitted to Loyola University Medical Center from 2007 to 2014. Patients admitted for fewer than four days were excluded. Admission, peak, and change from admission to peak (Δ) RDW were recorded to determine the relationship with in-hospital mortality. Patient age, development of sepsis during the hospitalization, admission to the intensive care unit (ICU), and discharge disposition were also examined.

Results

A total of 9,845 patients were admitted to the trauma service between 2007 and 2014, and a total of 2,512 (25.5%) patients fit the inclusion criteria and had both admission and peak values available. One-hundred twenty (4.6%) died while in the hospital. RDW values for all patients were (mean [standard deviation, SD]): admission 14.09 (1.88), peak 15.09 (2.34), and Δ RDW 1.00 (1.44). Admission, peak, and Δ RDW were not significant predictors of mortality (all p>0.50; hazard ratio [HR], 1.01-1.03). However, trauma patients who eventually developed sepsis had significantly higher RDW values (admission RDW: 14.27 (2.02) sepsis vs. 13.98 (1.73) no sepsis, p<0.001; peak RDW: 15.95 (2.55) vs. 14.51 (1.97), p<0.001; Δ RDW: 1.68 (1.77) vs. 0.53 (0.91), p<0.001).

Conclusion

Admission, peak, and Δ RDW were not associated with in-hospital mortality in adult trauma patients with a length of stay (LOS) ≥four days. However, the development of sepsis in trauma patients is closely linked to increased RDW values and in-hospital mortality.

Measurement of red blood cell size based on a lensless imaging system

The variability in the size of red blood cells (RBCs) is an important additional diagnostic parameter for diseases, which has been established as a part of the complete blood count (CBC). The CBC can be performed using an automated flow cytometer, but it is too bulky and expensive for point-of-care testing. A miniaturized lensless imaging system is a competitive modality for a CBC, that is small and inexpensive. There are two challenges in developing a lensless imaging system for taking the CBC, which make the measurement of the RBC size very difficult: the diffraction effect and the low resolution. In this paper, the RBC radius measurement is replaced with a diffraction ring radius measurement. The diffraction ring radius is much larger than the RBC radius. This feature can improve the imaging resolution. Based on Fresnel diffraction, the relationship between the radius of RBCs and the diffraction fringes is analyzed. Finally, a complete measurement algorithm for determining the RBC size based on the lensless imaging system is given, which can be used to measure the variability in the size of RBCs. In our experiment, the maximum error is less than 6.74%.

CHANGES IN THE MORPHOLOGIC STATE OF RED BLOOD CELLS IN PATIENTS WITH POLYTRAUMA

The measurement of RBC indices is of particular importance as an indirect intermediate component of the recovery process after exposure to hypoxia, ischemia, hypothermia in patients with traumatic disease due to polytrauma. The aim of this study was to evaluate the parameters of the morphologic state of red blood cells as a reaction of patients with traumatic disease. Materials and methods.A prospective study was carried out evaluation of 120 patients suffering from polytrauma. The patients were divided into 3 groups according to the principle of using additional substances as a part of IC. The parameters of morphologic state of red blood cells were studied. Results and discussion. The course of acute and early periods of traumatic disease has accompanied variability morphological forms of red blood cells, as evidenced by a decrease in MCV and RDW increased levels of the 3rd to 5th day. The optimized therapy used in the treatment of patients, has a positive effect on the parameters of red blood cells, contributes to a better recovery of red blood cells after hypoxia resulting multiple trauma. Conclusion. The study has demonstrated variations in the morphologic properties of red blood cells in the acute and early period of traumatic disease, as confirmed by pathological changes of the erythrocyte indices. The administration of the proposed therapy with the use of D-fructose-1.6-diphosphate sodium salt of hydrate has a positive effect on the parameters of red blood cells, contributes to a better recovery after hypoxia resulting multiple trauma. Given this, the calculations of the red blood cell indices may carry additional diagnostic information, which allows identify trends for not obvious pathological changes and quality of treatment.

Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies

Red cell distribution width (RDW), which is a quantitative method applied for the measurement of anisocytosis, is the most reliable and inexpensive method for differentiation of iron deficiency anemia and thalassemia trait. An increase in its rate reflects a great heterogeneity in the size of red blood cells (RBCs). Recent studies have shown a significant relationship between RDW and the risk of morbidity and mortality in patients with multiple diseases. A strong association is established between changes in RDW and the risk of adverse outcome in patients with heart failure in multiple studies. In this review, we try to focus on the association and correlation between the increase in RDW and different outcomes of common diseases that may be related to RDW and based on the results of various studies, we are trying to introduce RDW as a diagnostic indicator for these diseases.

Mortality After Traumatic Brain Injury in Elderly Patients: A New Scoring System

BACKGROUND

Traumatic brain injury (TBI) remains a life-threatening condition characterized by growing incidence worldwide, particularly in the aging population, in which the primary goal of treatment appears to be avoidance of chronic institutionalization.

METHODS

To identify independent predictors of 30-day mortality or vegetative state in a geriatric population and calculate an intuitive scoring system, we screened 480 patients after TBI treated at a single department of neurosurgery over a 2-year period. We analyzed data of 214 consecutive patients aged ≥65 years, including demographics, medical history, cause and time of injury, neurologic state, radiologic reports, and laboratory results. A predictive model was developed using logistic regression modeling with a backward stepwise feature selection.

RESULTS

The median Glasgow Coma Scale (GCS) score on admission was 14 (interquartile range, 12-15), whereas the 30-day mortality or vegetative state rate amounted to 23.4%. Starting with 20 predefined features, the final prediction model highlighted the importance of GCS motor score (odds ratio [OR], 0.17; 95% confidence interval [CI], 0.09-0.32); presence of comorbid cardiac, pulmonary, or renal dysfunction or malignancy (OR, 2.86; 9 5% CI, 1.08-7.61); platelets ≤100 × 10⁹ cells/L (OR, 13.60; 95% CI, 3.33-55.49); and red blood cell distribution width coefficient of variation ≥14.5% (OR, 2.91; 95% CI, 1.09-7.78). The discovered coefficients were used for nomogram development. It was further simplified to facilitate clinical use. The proposed scoring system, Elderly Traumatic Brain Injury Score (eTBI Score), yielded similar performance metrics.

CONCLUSIONS

The eTBI Score is the first scoring system designed specifically for older adults. It could constitute a framework for clinical decision-making and serve as an outcome predictor. Its capability to stratify risk provides reliable criteria for assessing efficacy of TBI management.

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

OBJECTIVE

To investigate the role of red cell distribution width (RDW) in comparison with Trauma-Associated Severe Hemorrhage (TASH) system in predicting the mortality of multiple trauma patients, referred to the hospital emergency department.

METHODS

This follow-up study was conducted on multiple trauma patients (age ≥ 18 years) with Injury Severity Scores (ISS) of ≥ 16, who were referred to the emergency department from March 1, 2017, to December 1, 2017. First, all patients were evaluated based on the Advanced Trauma Life Support (ATLS) guidelines, and then, their blood samples were sent for RDW measurements at baseline and 24 hours after admission. The ISS, Revised Trauma Score (RTS), and TASH were measured in the follow-ups and recorded by third-year emergency medicine residents. Hospital mortality was considered as the outcome of the study.

RESULTS

In this study, 200 out of 535 multiple trauma patients were recruited. The frequency of hospital mortality was 19 (9.5%). In the univariate analysis, there was no significant relationship between hospital mortality and RDW at baseline, RDW on the first day, and ΔRDW (RDW at baseline - RDW on the first day), unlike ISS, RTS, TASH (p=0.97, P= 0.28, and p=0.24, respectively). On the other hand, in the multivariate analysis, ISS, RTS, and TASH showed a significant relationship with hospital mortality. The greatest area under the ROC curve (AUC) was attributed to TASH and RTS systems (0.94 and 0.93, respectively).

CONCLUSION

TASH scoring system, which was mainly designed to predict the need for massive transfusion, may be of prognostic value for hospital mortality in multiple trauma patients, similar to ISS and RTS scoring systems.

The delta neutrophil index predicts development of multiple organ dysfunction syndrome and 30-day mortality in trauma patients admitted to an intensive care unit: a retrospective analysis

No studies have examined the role of delta neutrophil index (DNI) reflecting on immature granulocytes in determining the severity of multiple organ dysfunction (MODS) and short-term mortality. This study investigated the utility of the automatically calculated DNI as a prognostic marker of severity in trauma patients who were admitted to an intensive care unit (ICU). We retrospectively analysed prospective data of eligible patients. We investigated 366 patients. On multivariable logistic regression analysis, higher DNI values at 12 h (odds ratio [OR], 1.079; 95% confidence interval [CI]: 1.037-1.123; p < 0.001) and 24 h were strong independent predictors of MODS development. Multivariable Cox regression analysis revealed that increased DNI at 12 h (hazard ratio [HR], 1.051; 95% CI, 1.024-1.079; p < 0.001) was a strong independent predictor of short-term mortality. The increased predictability of MODS after trauma was closely associated with a DNI > 3.25% at 12 h (OR, 12.7; 95% CI: 6.12-26.35; p < 0.001). A cut-off of >5.3% at 12 h was significantly associated with an increased risk of 30-day mortality (HR, 18.111; 95% CI, 6.988-46.935; p < 0.001). The DNI is suitable for rapid and simple estimation of the severity of traumatic injury using an automated haematologic analyser without additional cost or time.