RBC Distribution Width: Biomarker for Red Cell Dysfunction and Critical Illness Outcome?

Red blood cell distribution width (RDW) reflects disease severity in patients with carbon monoxide poisoning: systematic literature review and meta-analysis

No definitive prognostic biomarkers for carbon monoxide (CO) poisoning have been proposed. The aim of this study is to investigate, through a systematic literature review and pooled analysis, whether red blood cell distribution width (RDW) can predict disease severity in CO-poisoned patients. We performed an electronic search in Scopus and PubMed using the keywords: 'red blood cell distribution width' OR 'RDW' AND 'carbon monoxide' AND 'poisoning,' with no time or language restrictions (i.e. through August 2023) to find clinical studies that examined the value of RDW in patients with varying severity of CO poisoning. The analysis was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 reporting checklist. We identified 29 articles, seven of which were included in our analysis, with a total of 1979 CO-poisoned patients, 25.9% of whom were severely ill. In all but one of the studies, the RWD mean or median value was higher in CO-poisoned patients with severe disease. The weighted mean difference (WMD) of RDW was 0.36 (95% confidence interval (CI), 0.26-0.47)%. In the three articles in which the severity of illness in CO-poisoned patients was defined as cardiac injury, the WMD of the RDW was 1.26 (95%CI, 1.02-1.50)%. These results suggest that monitoring RDW in CO-poisoned patients may help to determine the severity of disease, particularly cardiac injury.

Hematological Indices for Identifying Adverse Outcomes in Children Admitted to Pediatric ICUs

BACKGROUND

The pediatric ICU (PICU) is a specialized area where critically sick children are managed. The mortality rates in PICUs are higher in developing countries as compared to developed nations. Many of these deaths could be prevented if very sick children were identified soon after they arrived at the health facility. Hematological indices like platelet lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) have been frequently used in adults as indicators of mortality. However, their use in the pediatric population is limited due to a lack of validated reference intervals.

OBJECTIVE

The objective of the study is to assess the role of hematological indices in identifying adverse outcomes in terms of mortality in children admitted to the PICU.

MATERIALS AND METHODS

It is a prospective, observational study done at a tertiary care hospital. All children aged one year to 12 years admitted to the PICU were enrolled in the study. A sample for complete blood count was taken within one hour of admission to the PICU. Children who had received blood products in the last two months, those on chronic medications (>two weeks) that can affect bone marrow cellularity, and known cases of hematological disorders such as megaloblastic anemia, hematological malignancies, immune thrombocytopenia, and aplastic anemia were excluded from the study. PLR, NLR, and platelets to mean platelet volume ratio (PLT/MPV) were determined and compared among the survivors and non-survivors.

RESULTS

 Out of 275 enrolled patients, 119 (43.3%) patients expired during the study period. While PLR had high sensitivity and NLR had high specificity (85.71% and 92.31%, respectively) for predicting mortality, none of these parameters had a good area under the curve (AUC) in our study. PLT/MPV of ≥32 had a sensitivity of 39.5% and a specificity of 56.41% for predicting mortality.

CONCLUSIONS

Hematological parameters have been used across the world to predict ICU mortality. PLR and NLR are simple hematological biomarkers, easy to calculate, and cost-effective, and ratios are better than individual parameters. More studies and stratified samples are required to evaluate the role of hematological markers in identifying the risk of mortality in children admitted to PICUs.

Machine learning for hospital readmission prediction in pediatric population

BACKGROUND AND OBJECTIVE

Pediatric readmissions are a burden on patients, families, and the healthcare system. In order to identify patients at higher readmission risk, more accurate techniques, as machine learning (ML), could be a good strategy to expand the knowledge in this area. The aim of this study was to develop predictive models capable of identifying children and adolescents at high risk of potentially avoidable 30-day readmission using ML.

METHODS

Retrospective cohort study was carried out with 9,080 patients under 18 years old admitted to a tertiary university hospital. Demographic, clinical, and biochemical data were collected from electronic databases. We randomly divided the dataset into training (75 %) and testing (25 %), applied downsampling, repeated cross-validation with five folds and ten repetitions, and the hyperparameter was optimized of each technique using a grid search via racing with ANOVA models. We applied six ML classification algorithms to build the predictive models, including classification and regression tree (CART), random forest (RF), gradient boosting machine (GBM), extreme gradient boosting (XGBoost), decision tree and logistic regression (LR). The area under the receiver operating curve (AUC), sensitivity, specificity, Youden's J-index and accuracy were used to evaluate the performance of each model.

RESULTS

The avoidable 30-day hospital readmissions rate was 9.5 %. Some algorithms presented similar AUC, both in the dataset training and in the dataset testing, such as XGBoost, RF, GBM and CART. Considering the Youden's J-index, the algorithm that presented the best index was XGBoost with bagging imputation, with AUC of 0.814 (J-index of 0.484). Cancer diagnosis, age, red blood cells, leukocytes, red cell distribution width and sodium levels, elective admission, and multimorbidity were the most important characteristics to classify between readmission and non-readmission groups.

CONCLUSION

Machine learning approaches, especially XGBoost, can predict potentially avoidable 30-day pediatric hospital readmission into tertiary assistance. If implemented in the computer hospital system, our model can help in the early and more accurate identification of patients at readmission risk, targeting health strategic interventions.

Study on red blood cell distribution width in children with severe Mycoplasma pneumoniae pneumonia

Background: This study aimed to investigate the clinical value of the red blood cell distribution width (RDW) in severe Mycoplasma pneumoniae pneumonia (MPP). Methods: A total of 185 children with diagnosed severe MPP were included. The patients' case records and laboratory examination data were analyzed retrospectively. The children were grouped into quartiles based on RDW. Results: Univariate analysis revealed that RDW was significantly correlated with the Pediatric Risk of Mortality (PRISM) III score, Sepsis-Related Organ Failure Assessment score, incidence of invasive intubation and 30-day in-hospital mortality. After adjustment for the severity of illness, multivariate analysis revealed that the PRISM III score and RDW were factors independently associated with 30-day in-hospital mortality. Conclusion: This study revealed that RDW could be correlated with the long-term prognosis and severity of severe MPP.

Cross-sectional association between red blood cell distribution width and regional cerebral tissue oxygen saturation in preterm infants in the first 14 days after birth

Background

Hypoxia can threaten the metabolic functions of different systems in immature neonates, particularly the central nervous system. The red blood cell distribution width (RDW) has recently been reported as a prognostic factor in neurologic diseases. Herein, we examined the correlation between RDW and regional cerebral tissue oxygen saturation (rcSO2).

Methods

This cross-sectional study included 110 preterm infants born at a gestational age (GA) of <32 weeks, or with a birth weight (BW) of <1,500 g at our institution between January and June 2,022. The rcSO2 was monitored using near-infrared spectroscopy, and RDW was extracted from the complete blood count during the first 14 days after birth. RDW and rcSO2 measurements were analyzed using a cross-sectional research method.

Results

We divided the study population into two groups, with a mean rcSO2 value over the first 14 days. Fifty-three preterm had rcSO2 ≥ 55% and 57% < 55%. The 14-days-mean in the study population showing an association of lower rcSO2 values with higher RDW values. Significantly higher RDW values were observed in the low rcSO2 group compared with those in the high rcSO2 group. Threshold effect analysis showed that rcSO2 decreased with RDW values ≥18% (β, -0.03; 95% CI, -0.04 and -0.02; p ≥ 0.0001). After adjusting for potential confounders, an RDW of ≥18% was determined as the predictive cutoff value for preterm infants with low rcSO2 (Model I: OR, 3.31; 95% CI, 1.36-8.06; p = 0.009; and Model II: OR, 3.31; 95% CI, 1.28-8.53; p = 0.013).

Conclusions

An RDW of ≥18% in the first 14 days is associated with rcSO2 of <55% in preterm infants.

Biological age is superior to chronological age in predicting hospital mortality of the critically ill

Biological age is increasingly recognized as being more accurate than chronological age in determining chronic health outcomes. This study assessed whether biological age, assessed on intensive care unit (ICU) admission, can predict hospital mortality. This retrospective cohort study, conducted in a tertiary multidisciplinary ICU in Western Australia, used the Levine PhenoAge model to estimate each patient's biological age (also called PhenoAge). Each patient's PhenoAge was calibrated to generate a regression residual which was equivalent to biological age unexplained by chronological age in the local context. PhenoAgeAccel was a dichotomized measure of the residuals, and its presence suggested that one was biologically older than the corresponding chronological age. Of the 2950 critically ill adult patients analyzed, 291 died (9.9%) before hospital discharge. Both PhenoAge and its residuals (after regressing on chronological age) had a significantly better ability to differentiate between hospital survivors and non-survivors than chronological age (area under the receiver-operating-characteristic curve 0.648 and 0.654 vs. 0.547 respectively). Being phenotypically older than one's chronological age was associated with an increased risk of mortality (PhenoAgeAccel hazard ratio [HR] 1.997, 95% confidence interval [CI] 1.568-2.542; p = 0.001) in a dose-related fashion and did not reach a plateau until at least a 20-year gap. This adverse association remained significant (adjusted HR 1.386, 95% CI 1.077-1.784; p = 0.011) after adjusted for severity of acute illness and comorbidities. PhenoAgeAccel was more prevalent among those with pre-existing chronic cardiovascular disease, end-stage renal failure, cirrhosis, immune disease, diabetes mellitus, or those treated with immunosuppressive therapy. Being phenotypically older than one's chronological age was more common among those with comorbidities, and this was associated with an increased risk of mortality in a dose-related fashion in the critically ill that was not fully explained by comorbidities and severity of acute illness.

Complete blood count parameters as biomarkers of retinopathy of prematurity: a Portuguese multicenter study

PURPOSE

To evaluate complete blood count (CBC) parameters in the first week of life as predictive biomarkers for the development of retinopathy of prematurity (ROP).

METHODS

Multicenter, prospective, observational study of a cohort of preterm infants born with gestational age (GA) < 32 weeks or birth weight < 1500 g in eight Portuguese neonatal intensive care units. All demographic, clinical, and laboratory data from the first week of life were collected. Univariate logistic regression was used to assess risk factors for ROP and then multivariate regression was performed.

RESULTS

A total of 455 infants were included in the study. The median GA was 29.6 weeks, and the median birth weight was 1295 g. One hundred and seventy-two infants (37.8%) developed ROP. Median values of erythrocytes (p < 0.001), hemoglobin (p < 0.001), hematocrit (p < 0.001), mean corpuscular hemoglobin concentration (p < 0.001), lymphocytes (p = 0.035), and platelets (p = 0.003) of the group of infants diagnosed with ROP any stage were lower than those without ROP. Mean corpuscular volume (MCV) (p = 0.044), red blood cell distribution width (RDW) (p < 0.001), erythroblasts (p < 0.001), neutrophils (p = 0.030), neutrophils-lymphocytes ratio (p = 0.028), and basophils (p = 0.003) were higher in the ROP group. Higher values of MCV, erythroblasts, and basophils remained significantly associated with ROP after multivariate regression.

CONCLUSION

In our cohort, the increase in erythroblasts, MCV, and basophils in the first week of life was significantly and independently associated with the development of ROP. These CBC parameters may be early predictive biomarkers for ROP.

Genetic Modulation of the Erythrocyte Phenotype Associated with Retinopathy of Prematurity-A Multicenter Portuguese Cohort Study

The development of retinopathy of prematurity (ROP) may be influenced by anemia or a low fetal/adult hemoglobin ratio. We aimed to analyze the association between DNA methyltransferase 3 β (DNMT3B) (rs2424913), methylenetetrahydrofolate reductase (MTHFR) (rs1801133), and lysine-specific histone demethylase 1A (KDM1A) (rs7548692) polymorphisms, erythrocyte parameters during the first week of life, and ROP. In total, 396 infants (gestational age < 32 weeks or birth weight < 1500 g) were evaluated clinically and hematologically. Genotyping was performed using a MicroChip DNA on a platform employing iPlex MassARRAY^®. Multivariate regression was performed after determining risk factors for ROP using univariate regression. In the group of infants who developed ROP red blood cell distribution width (RDW), erythroblasts, and mean corpuscular volume (MCV) were higher, while mean hemoglobin and mean corpuscular hemoglobin concentration (MCHC) were lower; higher RDW was associated with KDM1A (AA), MTHFR (CC and CC + TT), KDM1A (AA) + MTHFR (CC), and KDM1A (AA) + DNMT3B (allele C); KDM1A (AA) + MTHFR (CC) were associated with higher RDW, erythroblasts, MCV, and mean corpuscular hemoglobin (MCH); higher MCV and MCH were also associated with KDM1A (AA) + MTHFR (CC) + DNMT3B (allele C). We concluded that the polymorphisms studied may influence susceptibility to ROP by modulating erythropoiesis and gene expression of the fetal/adult hemoglobin ratio.

A novel marker for predicting type 1 retinopathy of prematurity: C-reactive protein/albumin ratio

PURPOSE

We aimed to investigate whether the C-reactive protein (CRP) to albumin ratio (CAR) an inflammatory predictor can be used as a marker for the development of ROP.

METHODS

Gestational age, birth weight, gender, neonatal, and maternal risk factors were recorded. The patients were divided into two groups: those who did not develop ROP (ROP -) and those who developed ROP (ROP +). The ROP + group was further separated into two groups: those who required treatment (ROP + T) and those who were not treated (ROP + NT). The following parameters were noted in the first postnatal week and at the end of the first postnatal month: CRP, albumin, CAR, white blood cell (WBC), neutrophil, lymphocyte, neutrophil-to-lymphocyte ratio (NLR), distribution red cell width (RDW), platelet (Plt), and RDW/platelet ratio.

RESULTS

We evaluated 131 premature infants who met the inclusion criteria. There was no difference between the main groups in hemogram parameters and CAR at the postnatal first week. WBC count (p = 0.011), neutrophil count (p = 0.002), and NLR were high (p = 0.004) in the ROP + group at the end of the postnatal 1st month. The CAR level at the end of the first month was higher in the ROP + group (p = 0.027). CAR was similar between the ROP + T and ROP + NT groups (p = 0.112) in the postnatal first week but higher in the treatment-required group at the end of the first month (p < 0.01).

CONCLUSION

High CAR and high NLR at the end of the postnatal first month can be used to predict the development of severe ROP.

Red Cell Distribution Width to Platelet Count Ratio Reference Intervals in Premature Infants Beyond the First Week of Life

Objective: Red cell distribution width (RDW) is a parameter of complete blood count (CBC). The RDW to platelet count ratio (RPR) is a new index that has been shown to reflect the severity of inflammation. We aim to determine the reference interval (RI) of RPR for premature newborns. Study design: The medical records of preterm infants who were followed up between January 2016 and December 2018 were reviewed. CBC levels were measured in 144 infants at <72 hours of age. Results: CBCs of infants (gestational age from 28 to 35weeks) had a RI of 0.038-0.126 for the RPR. The RI for RPR in infants with a gestational age of 32-35weeks was 0.042-0.129; and the RI for infants at 28-31weeks was 0.022-0.121. Conclusion: Establishment of RI for RPR in premature infants will allow clinical correlation of RPR alterations in this population.

Red Cell Distribution Width on First Day Intensive Care Unit Admission in Paediatrics

Red distribution width (RDW) has recently been acclaimed as prognostic marker for mortality in critically-ill patients. However, this claim is still unclear and reports are still inadequate for the association between RDW and mortality in critically-ill paediatric patients. This research assessed the correlation between RDW within 24 hours of PICU (paediatric intensive care unit) admission and PELOD-2 score. A cross-sectional study was carried out involving 59 pediatric patients admitted to the PICU Haji Adam Malik Hospital, Medan, Indonesia, from May to July 2019. The association between RDW and PELOD-2 score was assessed by using Spearman correlation test. The RDW level of paediatric patients in the PICU on the first 24 hours was elevated (median 14.7%, range 11.4-31.2%). The median of PELOD-2 score assessment was 8 (range 2-21). There was no significant correlation between RDW and PELOD-2 in this research (r=0.187, p=0.156).

Red Blood Cell Distribution Width as a Predictive Biomarker for Postoperative Infections in Children Who Underwent Cardiac Surgery: A Single-Center Retrospective Study

Background It has been investigated that red blood cell distribution width (RDW) is associated with the clinical outcomes of patients following surgeries and is used as a prognostic biomarker for postsurgical complications. In this study, we aimed to assess the value of RDW as a predictor of postoperative complications in children after cardiac surgeries. Methods Three hundred fifty-five pediatric patients who underwent cardiac surgery between 2017 and 2018 were enrolled, and preoperative and postoperative RDW values were determined. Data collected included demographics; incidence of postsurgical complications, including sepsis, surgical site infections (SSIs), urinary tract infections (UTIs), and ventilator-associated pneumonia (VAP); length of hospital and pediatric cardiac intensive care unit (PCICU) stay; and ventilator duration. Results Among children who underwent cardiac surgery, 29 (8.2%) of the cases developed bloodstream infections (BSIs), while urinary tract infections (UTIs) were observed in 32 (9.0%) of the cases, and ventilator-associated pneumonia (VAP) was observed in 36 of the cases (10.1%). Of all cases, surgical site infections (SSIs) were reported in 13 patients (3.7%). Significantly higher postoperative RDW levels were observed on days three (p-value=0.028), five (p-value=0.041), and seven (p-value=0.042) in cases of BSI. For UTI cases, only preoperative RDW levels (p<0.001) and postoperative day three RDW levels (p<0.049) were significantly higher than their counterparts. VAP cases had significantly higher RDW levels pre-operatively (p-value=0.002), which was also observed in postoperative RDW levels on days three (p-value=0.033), five (p-value=0.031), and seven (p-value=0.021) in comparison to their analogs (p-values<0.05). Furthermore, a significant relationship was found between preoperative RDW and length of intensive care unit (ICU) stay (95% CI 0.685-3.221, p-value=0.003, R2=0.104) and duration of mechanical ventilation (95% CI 0.549-1.938, p-value=0.001, R2=0.102). Conclusion RDW is a significant factor in predicting complications in pediatric patients' post-cardiac surgeries, including BSI, UTI, and VAP, which would consequently anticipate patients' clinical state after cardiac procedures.

Postoperative red blood cell distribution width predicts functional outcome in aneurysmal subarachnoid hemorrhage after surgical clipping: A single-center retrospective study

Objective

Red blood cell (RBC) parameters are associated with outcomes following aneurysmal subarachnoid hemorrhage (aSAH), but their predictive value remains uncertain. This study aimed to detect the association between RBC parameters and functional outcome in aSAH patients undergoing surgical clipping.

Methods

This retrospective observational study included aSAH patients who underwent surgical clipping at Affiliated Hospital of North Sichuan Medical College between August 2016 and September 2019. The functional outcome following aSAH was assessed by modified Rankin Scale (mRS), and mRS 3-6 was defined as poor functional outcome.

Results

Out of 187 aSAH patients included (62% female, 51-66 years old), 73 patients had poor functional outcome. Multivariate logistic regression of admission parameters showed that World Federation of Neurosurgical Societies (WFNS) grade (odds ratio [95% CI]: 1.322 [1.023-1.707], p = 0.033) and white blood cell (WBC) (odds ratio [95% CI]: 1.136 [1.044-1.236], p = 0.003) were independently associated with poor functional outcome. In postoperative parameters, RBC distribution width (RDW) (odds ratio [95% CI]: 1.411 [1.095-1.818], p = 0.008), mean platelet volume (MPV, odds ratio [95% CI]: 1.253 [1.012-1.552], p = 0.039) and admission WFNS grade (odds ratio [95% CI]: 1.439 [1.119-1.850], p = 0.005) were independently associated with poor functional outcome. The predictive model including WFNS grade, admission WBC, and postoperative RDW and MPV had significantly higher predictive power compared to WFNS grade alone (0.787 [0.722-0.852] vs. 0.707 [0.630-0.784], p = 0.024). The combination of WFNS grade and WBC on admission showed the highest positive predictive value (75.5%) and postoperative RDW and MPV combined with admission WFNS grade and WBC showed the highest negative predictive value (83.7%).

Conclusion

Postoperative RDW is independently associated with poor functional outcome in aSAH patients undergoing surgical clipping. A combined model containing postoperative RDW may help predict good outcome in patients with aSAH after timely aneurysm clipping.

Predictors of Death in Patients with Neonatal Sepsis in a Peruvian Hospital

Reducing neonatal mortality is a global challenge. This study’s objective was to determine the predictors of mortality in patients with neonatal sepsis. The study was a retrospective cohort study in a Peruvian hospital from January 2014 to April 2022. Neonates diagnosed with sepsis were included. To find predictors of mortality, we used Cox proportional regression models. We evaluated 288 neonates with sepsis; the median birth weight and hospitalization time were 3270 g and seven days, respectively. During follow-up, 18.4% did not survive, and the most common complications were jaundice (35.42%), respiratory distress syndrome (29.51%), and septic shock (12.5%). The most isolated bacteria were Klebsiella pneumoniae. The risk factors associated with higher mortality were prematurity (aHR = 13.92; 95% CI: 1.71−113.51), platelets <150,000 (aHR = 3.64; 1.22−10.88), creatinine greater than 1.10 (aHR = 3.03; 1.09−8.45), septic shock (aHR = 4.41; 2.23−8.74), and admission to IMV (aHR = 5.61; 1.86−16.88), On the other hand, breastfeeding was associated with a lower risk of death (aHR = 0.25; 0.13−0.48). In conclusion, we report a high incidence of death and identify clinical (prematurity, septic shock, admission to IMV) and laboratory characteristics (elevated creatinine and thrombocytopenia) associated with higher mortality in patients with neonatal sepsis. Breastfeeding was a factor associated with survival in these patients.

Hematologic Dysfunction Criteria in Critically Ill Children: The PODIUM Consensus Conference

CONTEXT

Studies of organ dysfunction in children are limited by a lack of consensus around organ dysfunction criteria.

OBJECTIVES

To derive evidence-informed, consensus-based criteria for hematologic dysfunction in critically ill children.

DATA SOURCES

Data sources included PubMed and Embase from January 1992 to January 2020.

STUDY SELECTION

Studies were included if they evaluated assessment/scoring tools to screen for hematologic dysfunction and assessed outcomes of mortality, functional status, organ-specific outcomes, or other patient-centered outcomes. Studies of adults or premature infants, animal studies, reviews/commentaries, small case series, and non-English language studies with inability to determine eligibility were excluded.

DATA EXTRACTION

Data were abstracted from each eligible study into a standard data extraction form along with risk of bias assessment.

RESULTS

Twenty-nine studies were included. The systematic review supports the following criteria for hematologic dysfunction: thrombocytopenia (platelet count <100000 cells/µL in patients without hematologic or oncologic diagnosis, platelet count <30000 cells/µL in patients with hematologic or oncologic diagnoses, or platelet count decreased ≥50% from baseline; or leukocyte count <3000 cells/µL; or hemoglobin concentration between 5 and 7 g/dL (nonsevere) or <5 g/dL (severe).

LIMITATIONS

Most studies evaluated pre-specified thresholds of cytopenias. No studies addressed associations between the etiology or progression of cytopenias overtime with outcomes, and no studies evaluated cellular function.

CONCLUSIONS

Hematologic dysfunction, as defined by cytopenia, is a risk factor for poor outcome in critically ill children, although specific threshold values associated with increased mortality are poorly defined by the current literature.

Retrospective evaluation of red blood cell distribution width as a prognostic factor in critically ill dogs (December 2016 to April 2017): 127 cas

OBJECTIVE

To evaluate the association between RBC distribution width (RDW) and in-hospital mortality, length of hospitalization, and leukocyte count in critically ill dogs.

DESIGN

Retrospective study.

SETTING

University teaching hospital.

ANIMALS

One hundred and twenty-seven dogs admitted to the ICU from December 2016 to April 2017. Patients were included if they had a CBC performed within the first 24 h of admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The overall in-hospital mortality rate was 29% (37/127), and median length of hospital stay was 3 days (interquartile range [IQR], 5). The median RDW value was 13.8% (IQR, 1.6%; reference interval, 11.9%-14.5 %). The canine Acute Patient Physiologic and Laboratory Evaluation (APPLE) fast score was calculated in 81 of 127 (64%) patients; the median score was 24/50 (IQR, 9). There was no significant correlation between RDW and APPLE fast score (P = 0.163). Subgroup analysis was performed according to the following diagnostic categories: abdominal (36%; 46/127), hematological (13%; 16/127), respiratory (13%; 16/127), neurological (12%; 15/127), cardiovascular (11%; 14/127), integument (3%; 4/127), trauma (3%; 4/127), musculoskeletal (2%; 3/127), and others (7%; 9/127). Increased RDW was not associated with in-hospital mortality overall (P = 0.381) or in any individual subgroup analysis. No association was found between length of hospitalization and RDW values in either survivors (P = 0.548) or nonsurvivors (P = 0.083). The correlation between RDW and leukocyte count was nonsignificant (P = 0.12).

CONCLUSIONS

In this study, admission RDW was not associated with in-hospital mortality or length of hospitalization in critically ill dogs. The correlation between RDW and leukocyte count was nonsignificant.

Simple Hematological Markers in Predicting the Severity of Transient Tachypnea of Newborn: New Wine in Old Bottles

OBJECTIVES

To evaluate the validity of red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet mass index (PMI) of patients with transient tachypnea of the newborn (TTN), and to find out their roles in predicting severity of TTN.

PATIENTS AND METHODS

In this prospective study, hematological parameters (RDW, PMI) and ratios (NLR, PLR) of 147 patients with TTN and 147 full-term healthy controls were evaluated and compared at birth and at 72nd h of life.

PATIENT

s with TTN and 147 full-term healthy controls were evaluated and compared at birth and at 72nd hours of life.

RESULTS

RDW and NLR were not only significantly higher in patients with TTN at birth (p = 0.001) and at 72nd hours of life (p: 0.001), but also were correlated with days of nasal continuous positive airway pressure therapy, duration of O2 therapy, TTN clinical scores, hospitalization and TTN duration. At a cut-off value of 2.40, NLR had a sensitivity of 82.5% and specificity of 77.5% to predict TTN, the most striking parameter at 72nd hours of life. RDW of 17.75 was also determined as the predictive cutoff value of TTN (sensitivity 72.5%; specificity 67.5%; area under the receiver-operating characteristic curve 0.80; p = 0.001). Multivariate analysis model adjusted for delivery, gestational age, male gender revealed that RDW and NLR were significantly and independently associated with TTN.

CONCLUSION

RDW and NLR both at birth and at 72nd hours of life can be used as biomarkers to distinguish TTN patients from healthy newborns and to predict the severity of TTN.

A Meta-analysis of the Utility of Red Cell Distribution Width as a Biomarker to Predict Outcomes in Pediatric Illness (PROSPERO CRD42020208777)

Red cell distribution width (RDW) is an average of the variation in red blood cell (RBC) sizes reported on a complete blood count. An elevated RDW indicates a pathological process that is affecting erythropoiesis. Studies showed that as the severity of disease process increases, the RDW often increases as well. Particularly in resource-limited countries, RDW has been studied as an outcome predictor for conditions in a variety of disciplines and is offered as an adjunct monitoring tool that is cost effective, readily available, and indicative of pathological processes amenable to intervention. Particularly in pediatric critical care settings, RDW has been shown to be a reliable tool for surveillance of disease states such as sepsis. Despite the increased attention of RDW as a marker for disease outcome, collective evaluation on the utility of RDW as a marker for outcome in pediatric critical care settings is lacking. We offer a systematic review and meta-analysis of published studies to assess the ability of RDW to predict illness severity and mortality among pediatric critical care patients. Among eight studies of over 4,800 patients, we found over a two-fold increase in odds for mortality in critically ill children whose RDW was above 15.7%. This is the first systematic review of RDW being used to predict mortality in critically ill children and findings of this study may prompt early intervention in the pediatric critical care setting.

The Association between Peripheral Blood Cells and the Frailty Syndrome in Patients with Cardiovascular Diseases

Background

Frailty syndrome is characterized by multisystem dysregulation frequently found in older individuals or even in younger patients with chronic disabling diseases such as cardiovascular diseases.

Objective

To determine whether peripheral blood cell count, and its subpopulations, red blood cell and platelets, morphology and different ratios (neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and red blood distribution width-to-platelet ratio) are associated with cardiac frail patients, and through this to improve the prediction of frailty status in patients with cardiovascular diseases.

Methods

An observational, retrospective, cohort study enrolling 179 patients with cardiovascular disease divided into two groups: non-frail group (100 pts) and frail group (79 pts), a cohort detached from the Frail.RO study. The frailty was evaluated based on the Fried criteria; haematological markers, sociodemographic data, and variables related to cardiovascular diseases and comorbidities were also recorded.

Results

Lower lymphocytes, platelet count, and neutrophil-to-lymphocyte ratio were significantly associated with a more severe frailty syndrome. Regarding red blood cells, haemoglobin concentration and red cell distribution width significantly correlated with the severity of the frailty syndrome. Receiver operating characteristic curve analysis for these markers associated with the frailty syndrome revealed an acceptable sensitivity of 66% and specificity of 65% to identify frail individuals. Malnutrition and hypercholesterolemia are relevant predictors for identifying frailty in hospitalized cardiovascular patients.

Conclusion

The evaluation of peripheral blood cell composition routinely measured in clinical practice can represent a valuable, but limited indicator, to diagnose frailty syndrome and eventually, the effects of interventions in frail patients with cardiovascular diseases.

Mean corpuscular haemoglobin concentration as haematological marker to detect changes in red blood cells in sheep infected with Haemonchus contortus

Haemonchus contortus is a nematode parasite that causes anaemia and affects the health of sheep. The mean corpuscular haemoglobin concentration (MCHC) is an excellent indicator to detect anaemia that could help to characterize resistant or susceptible lambs to gastrointestinal nematodes. The aim of this study was to evaluate the predictive value of MCHC in detecting changes in red blood cells and their relation to anaemia in lambs re-infected with H. contortus. An analysis of information was performed using 24 Pelibuey lambs previously infected in grazing, dewormed and experimentally re-infected with H. contortus. At the first haematological sampling (admission) the lambs were classified based on MCHC quartiles (Q). Subsequently, the lambs were housed for 56 days. Blood samples were taken every seven days to determine the haematological parameters using an impedance haematological instrument. Confidence limits were constructed with the records of the lambs that recovered their haematological parameters. Each quartile was analysed as a treatment in a repeated measures design over time. To know the optimal combination of sensitivity and specificity of MCHC to detect anaemia a curve of receiver operating characteristic (ROC) curve and the cut-off values were evaluated. In quartile 4 (Q4), lambs showed the highest faecal egg count (FEC, 764 eggs/g of faeces), mean corpuscular haemoglobin (17.0 pg) and MCHC (54.6 g/dL). This group also presented the lowest RBC values (5.8 × 10⁶/mL), haematocrit (HCT, 18.3%), total plasma protein (5.7 g/dL), and HGB (9.7 g/dL). The optimal point of MCHC with ROC curve was 42.4 (sensitivity 88.2% and specificity 86.5%); the area under the curve was 0.91 (CI 95%, 0.86-0.96). These results are related to the haematological effects caused by H. contortus in susceptible lambs. In conclusion, the highest FEC and lower HCT in Q4 are important elements of the haematological damage caused by H. contortus and could identify susceptible lambs.

A nomogram to predict in-hospital mortality of neonates admitted to the intensive care unit

Background

To explore the influencing factors for in-hospital mortality in the neonatal intensive care unit (NICU) and to establish a predictive nomogram.

Methods

Neonatal data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. Both univariate and multivariate logit binomial general linear models were used to analyse the factors influencing neonatal death. The area under the receiver operating characteristics (ROC) curve was used to assess the predictive model, which was visualized by a nomogram.

Results

A total of 1258 neonates from the NICU in the MIMIC-III database were eligible for the study, including 1194 surviving patients and 64 deaths. Multivariate analysis showed that red cell distribution width (RDW) (odds ratio [OR] 0.813, p=0.003) and total bilirubin (TBIL; OR 0.644, p<0.001) had protective effects on neonatal in-hospital death, while lymphocytes (OR 1.205, p=0.025), arterial partial pressure of carbon dioxide (PaCO₂; OR 1.294, p=0.016) and sequential organ failure assessment (SOFA) score (OR 1.483, p<0.001) were its independent risk factors. Based on this, the area under the curve of this predictive model was up to 0.865 (95% confidence interval 0.813 to 0.917), which was also confirmed by a nomogram.

Conclusions

The nomogram constructed suggests that RDW, TBIL, lymphocytes, PaCO₂ and SOFA score are all significant predictors for in-hospital mortality in the NICU.

Red cell distribution width and its association with retinopathy of prematurity

OBJECTIVE

The aim of this study was to evaluate whether there is a relationship between red cell distribution width (RDW) values and the development of retinopathy of prematurity (ROP) in premature infants.

METHODS

This retrospective study was conducted on a total of 159 infants with gestational age (GA) < 35 weeks including 77 infants diagnosed as ROP (patients' group) and 82 infants without ROP (control group) between September 2015 and January 2018. RDW values of the preterm infants were obtained from their medical records (routine postpartum cord blood sample and follow-up venous blood samples taken at first week, second week and first month). The possible relationship between RDW values and clinical features of ROP development was evaluated.

RESULTS

The mean GA of all infants was 29.2 ± 2.4 (24-35) weeks, and the mean birth weight was 1268 ± 419 (550-2500) g. The RDW values measured in the first and the second weeks were significantly higher in infants with ROP compared with those wihout ROP (p < .001 for both). There was no statistically significant difference between the groups in terms of cord blood and first month RDW values (p = .719, p = .108, respectively). The first and second week's RDW values of infants with ROP requiring treatment (severe ROP) were significantly higher than those of infants with ROP not requiring treatment (mild ROP) (p = .005, p = .031, respectively), but no statistically significant difference was observed between the groups in terms of cord blood and first month values (p = .114 and p = .371, respectively).

CONCLUSION

RDW is an easily accessible and inexpensive marker that may reflect the clinical risk factors for ROP. Follow-up measures of RDW have the potential to help clinicians for the prediction of ROP development in the first 2 weeks postnatally.

Evaluation of the usefulness of red blood cell distribution width in critically ill pediatric patients

Red blood cell distribution width (RDW) is a component of routine complete blood count, which reflects variability in the size of circulating erythrocytes. Recently, there have been many reports about RDW as a strong prognostic marker in various disease conditions in the adult population. However, only a few studies have been performed in children. This study aimed to investigate the association between RDW and pediatric intensive care unit (PICU) mortality in critically ill children. This study includes 960 patients admitted to the PICU from November 2012 to May 2018. We evaluated the associations between RDW and clinical parameters including PICU mortality outcomes. The median age of the study population was 15.5 (interquartile range, 4.8-54.5) months. The mean RDW was 15.6% ± 3.3%. The overall PICU mortality was 8.8%. As we categorized patients into 3 groups with respect to RDW values (Group 1: ≤14.5%; Group 2: 14.5%-16.5%; and Group 3: >16.5%) and compared clinical parameters, the higher RDW groups (Groups 2 and 3) showed more use of vasoactive-inotropic drugs, mechanical ventilator support, higher severity scores, including pediatric risk of mortality III, pediatric sequential organ failure assessment, pediatric logistic organ dysfunction-2 (PELOD-2), and pediatric multiple organ dysfunction syndrome scores, and higher PICU mortality than the lower RDW group (Group 1) (P < .05). Based on multivariate logistic regression analysis adjusted for age and sex, higher RDW value (≥14.5%) was an independent risk factor of PICU mortality. Moreover, adding RDW improved the performance of the PELOD-2 score in predicting PICU mortality (category-free net reclassification index 0.357, 95% confidence interval 0.153-0.562, P = .001). In conclusion, higher RDW value was significantly associated with worse clinical parameters including PICU mortality. RDW was an independent risk factor of PICU mortality and the addition of RDW significantly improved the performance of PELOD-2 score in predicting PICU mortality. Thus, RDW could be a promising prognostic factor with advantages of simple and easy measurement in critically ill pediatric patients.

Association Between Elevated RBC Distribution Width and Multiple Organ Dysfunction in Pediatric Critical Illness

OBJECTIVES

RBC distribution width, a part of the complete blood count, has been shown in several published studies to be a strong biomarker of adverse outcomes. We sought to determine the association between admission RBC distribution width value and clinical outcomes including multiple organ dysfunction, mechanical ventilation days, PICU length of stay, and hospital length of stay in children admitted to the PICU.

DESIGN

Single center, retrospective study.

SETTING

A tertiary pediatric hospital in the United States.

PATIENTS

All subjects admitted to the PICU from 2016 to 2017.

EXCLUSIONS

Greater than 21 years old, pregnancy, and history of packed RBC transfusion within 120 days prior to admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

One-thousand five-hundred one subjects were screened and 856 were included in data analysis. RBC distribution width value was categorized into four separate groups: group I (RBC distribution width < 13.4%), group II (13.4-14.3%), group III (14.4-15.7%), and group IV (RBC distribution width > 15.7%). Increased RBC distribution width at admission was associated with multiple organ dysfunction syndrome in the first 7 days (group I = 11.8% vs group IV = 30.1%; p < 0.0001) (odds ratio, 3.22; 95% CI, 1.95-5.30; p < 0.0001). Increased RBC distribution width was associated with increased median mechanical ventilation duration (group IV = 7 d vs group I = 5 d; p = 0.001), median hospital length of stay (group IV = 13 d vs group I = 5 d; p < 0.0001), and median PICU length of stay (group IV = 4 d vs group I = 3 d; p = 0.01). Mortality was not statistically associated with admission RBC distribution width (p = 0.12).

CONCLUSIONS

PICU admission RBC distribution width values greater than 15.7% obtained upon admission to the PICU in patients who have not received a RBC transfusion are associated with multiple organ dysfunction syndrome in the first 7 days of admission, increased duration of mechanical ventilation, and increased hospital length of stay.

A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China

BACKGROUND

Because there is no reliable risk stratification tool for severe coronavirus disease 2019 (COVID-19) patients at admission, we aimed to construct an effective model for early identification of cases at high risk of progression to severe COVID-19.

METHODS

In this retrospective multicenter study, 372 hospitalized patients with nonsevere COVID-19 were followed for > 15 days after admission. Patients who deteriorated to severe or critical COVID-19 and those who maintained a nonsevere state were assigned to the severe and nonsevere groups, respectively. Based on baseline data of the 2 groups, we constructed a risk prediction nomogram for severe COVID-19 and evaluated its performance.

RESULTS

The training cohort consisted of 189 patients, and the 2 independent validation cohorts consisted of 165 and 18 patients. Among all cases, 72 (19.4%) patients developed severe COVID-19. Older age; higher serum lactate dehydrogenase, C-reactive protein, coefficient of variation of red blood cell distribution width, blood urea nitrogen, and direct bilirubin; and lower albumin were associated with severe COVID-19. We generated the nomogram for early identifying severe COVID-19 in the training cohort (area under the curve [AUC], 0.912 [95% confidence interval {CI}, .846-.978]; sensitivity 85.7%, specificity 87.6%) and the validation cohort (AUC, 0.853 [95% CI, .790-.916]; sensitivity 77.5%, specificity 78.4%). The calibration curve for probability of severe COVID-19 showed optimal agreement between prediction by nomogram and actual observation. Decision curve and clinical impact curve analyses indicated that nomogram conferred high clinical net benefit.

CONCLUSIONS

Our nomogram could help clinicians with early identification of patients who will progress to severe COVID-19, which will enable better centralized management and early treatment of severe disease.

A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China

BACKGROUND

Because there is no reliable risk stratification tool for severe coronavirus disease 2019 (COVID-19) patients at admission, we aimed to construct an effective model for early identification of cases at high risk of progression to severe COVID-19.

METHODS

In this retrospective multicenter study, 372 hospitalized patients with nonsevere COVID-19 were followed for > 15 days after admission. Patients who deteriorated to severe or critical COVID-19 and those who maintained a nonsevere state were assigned to the severe and nonsevere groups, respectively. Based on baseline data of the 2 groups, we constructed a risk prediction nomogram for severe COVID-19 and evaluated its performance.

RESULTS

The training cohort consisted of 189 patients, and the 2 independent validation cohorts consisted of 165 and 18 patients. Among all cases, 72 (19.4%) patients developed severe COVID-19. Older age; higher serum lactate dehydrogenase, C-reactive protein, coefficient of variation of red blood cell distribution width, blood urea nitrogen, and direct bilirubin; and lower albumin were associated with severe COVID-19. We generated the nomogram for early identifying severe COVID-19 in the training cohort (area under the curve [AUC], 0.912 [95% confidence interval {CI}, .846-.978]; sensitivity 85.7%, specificity 87.6%) and the validation cohort (AUC, 0.853 [95% CI, .790-.916]; sensitivity 77.5%, specificity 78.4%). The calibration curve for probability of severe COVID-19 showed optimal agreement between prediction by nomogram and actual observation. Decision curve and clinical impact curve analyses indicated that nomogram conferred high clinical net benefit.

CONCLUSIONS

Our nomogram could help clinicians with early identification of patients who will progress to severe COVID-19, which will enable better centralized management and early treatment of severe disease.

A retrospective cohort study on the association between elevated preoperative red cell distribution width and all-cause mortality after noncardiac surgery

BACKGROUND

Elevated red cell distribution width (RDW) has been associated with worse outcomes in several medical patient populations. The aim of this study was to investigate the association of increased preoperative RDW and short- and long-term mortality after noncardiac surgery.

METHODS

This investigation was a retrospective cohort study including all patients undergoing noncardiac surgery between 2005 and 2015 at Landspitali-the National University Hospital in Iceland. Patients were separated into five predefined groups based on preoperative RDW (≤13.3%, 13.4-14.0%, 14.1-14.7%, 14.8-15.8%, and >15.8%). The primary outcome was all-cause long-term mortality and secondary outcomes included 30-day mortality, length of stay, and readmissions within 30 days, compared with propensity score matched (PSM) cohort from patients with RDW ≤13.3%.

RESULTS

There was a higher hazard of long-term mortality for patients with RDW between 14.8% and 15.8% (hazard ratio=1.33; 95% confidence interval, 1.15-1.59; P<0.001) and above 15.8% (hazard ratio=1.66; 95% confidence interval, 1.41-1.95; P<0.001), compared with matched controls with RDW ≤13.3%. This association held in multiple patient subgroups. For secondary outcomes, there was no difference in 30-day mortality, length of stay, or risk of readmission within 30 days.

CONCLUSIONS

Increased preoperative RDW is associated with increased long-term mortality after noncardiac surgery. RDW could be a composite biomarker of pre-existing chronic inflammation and poor nutritional status. Future studies should clarify if this is a modifiable risk factor for improved surgical outcomes.

Red cell distribution width as a predictor of late-onset Gram-negative sepsis

BACKGROUND

Late-onset sepsis (LOS) remains an important cause of morbidity and mortality in preterm infants. In this study, our aim was to investigate the red-cell distribution width (RDW) levels during a LOS episode, and its association with the type of growing microorganism and mortality.

METHODS

Preterm infants with culture-proven sepsis during their neonatal intensive care unit stay were enrolled. Red-cell distribution width levels were obtained in the first 4 h of postnatal life and at the onset of the LOS episode, and compared for these time frames. The study cohort was divided into two groups according to the type of the growing microorganism. The RDW levels were then assessed in intra- and inter-group analyses.

RESULTS

Eighty-six infants were included in the final analysis. RDW levels were increased in the study cohort after a LOS attack (P < 0.001). Infants with Gram-negative sepsis showed a significant increase in their RDW levels, but they remained unchanged in infants with Gram-positive sepsis (P < 0.001 and P = 0.4, respectively). An RDW cut-off of >19.50% was related with a sensitivity of 87% and a specificity of 81% for predicting late-onset Gram-negative sepsis (P < 0.001). Logistic regression analysis showed a positive association of RDW with mortality when adjusted for covariants (adjusted odds ratio: 1.40; 95% confidence interval: 1.02-1.80; P = 0.03).

CONCLUSIONS

Our findings show that RDW levels increased during a LOS episode in preterm infants, which was especially evident in Gram-negative infections. We believe that these findings may be of importance in the early diagnosis and prognosis of LOS in preterm infants.

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.

Altered Hemorheology in Fontan Patients in Normoxia and After Acute Hypoxic Exercise

Background

The Fontan circulation is a unique palliation procedure for several congenital heart defects. Impaired exercise capacity has previously been demonstrated in these patients and also a higher risk for cardiopulmonary mortality. Hemorheology was shown to affect cardiopulmonary capacity and in turn to be affected by regular exercise and hypoxia but none of these have been investigated in Fontan patients so far. The aim of this study was to detect general differences in hemorheology in normoxia as well as possible altered hemorheological responses to hypoxia exposure and hypoxic exercise between Fontan patients and healthy controls.

Methods and Findings

26 Fontan patients and 20 healthy controls performed an acute exercise test (AET) on a bicycle ergometer under hypoxia with ambient 15.2% oxygen saturation (sO₂). Blood samples were taken at rest in normoxia (T0), at rest in hypoxia (T1), after maximum exhaustion in hypoxia (T2), and after 50 min recovery in normoxia (T3). Hemorheological and blood parameters were investigated. Additionally, arterial stiffness was tested at T0. Red blood cell (RBC) deformability, NOx, erythropoietin (EPO) concentration, RBC count, hemoglobin (Hb) concentration and hematocrit (hct) were significantly increased in Fontan patients compared to controls. Same was observed for arterial stiffness. No changes were observed for RBC aggregation, fibrinogen concentration, free radical levels and vascular endothelial growth factor (VEGF). Hypoxia exposure did not change parameters, whereas exercise in hypoxia increased aggregation and hct significantly in both groups. Fontan patients showed significantly increased aggregation-disaggregation balance compared to controls.

Conclusion

Acute hypoxia exposure and exercise under hypoxia might have similar impact on hemorheology in Fontan patients and controls and was clinically well tolerated. Nevertheless, exercise alters aggregation and possibly hemodynamics which requires special attention in Fontan patients.

Usefulness of RBC distribution width and C-reactive protein to predict mortality in pediatric non-cardiac critical illness

INTRODUCTION

We aimed to assess the performance of red blood cell distribution width (RDW), C-reactive protein (CRP) or the combination of both to predict clinical outcomes in pediatric non-cardiovascular critical illness.

MATERIALS AND METHODS

We analyzed 404 pediatric non-cardiovascular critically ill patients admitted to pediatric intensive care unit (PICU). Potential predictors were identified using multivariable logistic regression. We also calculated the power of RDW and CRP additive to pediatric critical illness score (PCIS) to predict mortality with calculation of C-index value, integrated discrimination improvement (IDI) and net reclassification improvement (NRI) indices.

RESULTS

RDW and CRP independently predicted PICU mortality. The C-index value of PCIS with respect to prediction of PICU mortality was greater than that of RDW and CRP. The combination of RDW or CRP or both with PCIS did significantly increase C-index value for predicting mortality (all p < 0.01). Addition of RDW or CRP or their combination to PCIS provided IDI of 7%, 1.1% and 9.4% (p = 0.009, 0.01 and 0.003) and NRI of 15.9%, 13.1% and 19.6% (p = 0.002, 0.043 and 0.002), respectively.

CONCLUSIONS

In pediatric non-cardiovascular critically ill patients, RDW and CRP could serve as independent predictors of PICU mortality and addition of RDW or CRP or both to PCIS significantly improves the ability to predict PICU mortality.

Controlling Phlebotomy Volume Diminishes PICU Transfusion: Implementation Processes and Impact

BACKGROUND AND OBJECTIVES

Phlebotomy excess contributes to anemia in PICU patients and increases the likelihood of red blood cell transfusion, which is associated with risk of adverse outcomes. Excessive phlebotomy reduction (EPR) strategies may reduce the need for transfusion, but have not been evaluated in a PICU population. We hypothesized that EPR strategies, facilitated by implementation science methods, would decrease excess blood drawn and reduce transfusion frequency.

METHODS

Quantitative and qualitative methods were used. Patient and blood draw data were collected with survey and focus group data to evaluate knowledge and attitudes before and after EPR intervention. The Consolidated Framework for Implementation Research was used to interpret qualitative data. Multivariate regression was employed to adjust for potential confounders for blood overdraw volume and transfusion incidence.

RESULTS

Populations were similar pre- and postintervention. EPR strategies decreased blood overdraw volumes 62% from 5.5 mL (interquartile range 1-23) preintervention to 2.1 mL (interquartile range 0-7.9 mL) postintervention (P < .001). Fewer patients received red blood cell transfusions postintervention (32.1% preintervention versus 20.7% postintervention, P = .04). Regression analyses showed that EPR strategies reduced blood overdraw volume (P < .001) and lowered transfusion frequency (P = .05). Postintervention surveys reflected a high degree of satisfaction (93%) with EPR strategies, and 97% agreed EPR was a priority postintervention.

CONCLUSIONS

Implementation science methods aided in the selection of EPR strategies and enhanced acceptance which, in this cohort, reduced excessive overdraw volumes and transfusion frequency. Larger trials are needed to determine if this approach can be applied in broader PICU populations.

Red cell distribution width (RDW) as a biomarker for respiratory failure in a pediatric ICU

Background

The red cell distribution width (RDW) is a widely available, inexpensive, and highly reproducible test that reflects the range of the red cell sizes. Any process that releases reticulocytes in the circulation will result in an increase in RDW. Elevated RDW values are linked to worsened pulmonary function in the adult population. We performed a retrospective cohort study to describe the association between RDW and respiratory failure in critically ill children in a in a pediatric intensive care unit (PICU) in a tertiary university hospital.

Subjects

All patients admitted between January 2009 and June 2015 were considered eligible for inclusion.

Methods

Retrospective cohort study.

Results

In total, 960 patients were included in the cohort analysis. Of those patients, 149 (15.5%) had elevated RDW values. RDW on admission was associated with lower 28 day ventilator-free days. The highest quintile of RDW was associated with the need for mechanical ventilation, even when correcting for anaemia, age and Pediatric Risk of Mortality (PRISM) scores. In the subgroup of ventilated patients, RDW was associated with nadir PaO₂/FiO₂(P/F) ratios.

Conclusion

The RDW value on admission of our PICU patients is associated with a greater need for invasive mechanical ventilation, lower 28 day ventilator-free days and lower nadir P/F ratios in the patients with highest RDW values on admission. RDW may be a valuable, cheap and universally available, prognostic parameter for respiratory dysfunction in the PICU.