Both initial red cell distribution width (RDW) and change in RDW during heart failure hospitalization are associated with length of hospital stay and 30-day outcomes

Association between Red Blood Cell Distribution Width and In-Hospital Mortality among Congestive Heart Failure Patients with Diabetes among Patients in the Intensive Care Unit: A Retrospective Cohort Study

Background

Elevated red blood cell distribution width (RDW) levels are strongly associated with an increased risk of mortality in patients with congestive heart failure (CHF). Additionally, heart failure has been closely linked to diabetes. Nevertheless, the relationship between RDW and in-hospital mortality in the intensive care unit (ICU) among patients with both congestive heart failure (CHF) and diabetes mellitus (DM) remains uncertain.

Methods

This retrospective study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, a comprehensive critical care repository. RDW was assessed as both continuous and categorical variables. The primary outcome of the study was in-hospital mortality at the time of hospital discharge. We examined the association between RDW on ICU admission and in-hospital mortality using multivariable logistic regression models, restricted cubic spline analysis, and subgroup analysis.

Results

The cohort consisted of 7,063 patients with both DM and CHF (3,135 females and 3,928 males). After adjusting for potential confounders, we found an association between a 9% increase in mortality rate and a 1 g/L increase in RDW level (OR = 1.09; 95% CI, 1.05∼1.13), which was associated with 11 and 58% increases in mortality rates in Q2 (OR = 1.11, 95% CI: 0.87∼1.43) and Q3 (OR = 1.58, 95% CI: 1.22∼2.04), respectively, compared with that in Q1. Moreover, we observed a significant linear association between RDW and in-hospital mortality, along with strong stratified analyses to support the findings.

Conclusions

Our findings establish a positive association between RDW and in-hospital mortality in patients with DM and CHF.

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.

Association of red cell distribution width/albumin ratio and in hospital mortality in patients with atrial fibrillation base on medical information mart for intensive care IV database

BACKGROUND

Atrial fibrillation (AF) is a common cardiac arrhythmia. The ratio of red cell distribution width (RDW) to albumin has been recognized as a reliable prognostic marker for poor outcomes in a variety of diseases. However, the evidence regarding the association between RDW to albumin ratio (RAR) and in hospital mortality in patients with AF admitted to the Intensive Care Unit (ICU) currently was unclear. The purpose of this study was to explore the association between RAR and in hospital mortality in patients with AF in the ICU.

METHODS

This retrospective cohort study used data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database for the identification of patients with atrial fibrillation (AF). The primary endpoint investigated was in-hospital mortality. Multivariable-adjusted Cox regression analysis and forest plots were utilized to evaluate the correlation between the RAR and in-hospital mortality among patients with AF admitted to ICU. Additionally, receiver operating characteristic (ROC) curves were conducted to assess and compare the predictive efficacy of RDW and the RAR.

RESULTS

Our study included 4,584 patients with AF with a mean age of 75.1 ± 12.3 years, 57% of whom were male. The in-hospital mortality was 20.3%. The relationship between RAR and in-hospital mortality was linear. The Cox proportional hazard model, adjusted for potential confounders, found a high RAR independently associated with in hospital mortality. For each increase of 1 unit in RAR, there is a 12% rise in the in-hospital mortality rate (95% CI 1.06-1.19). The ROC curves revealed that the discriminatory ability of the RAR was better than that of RDW. The area under the ROC curves (AUCs) for RAR and RDW were 0.651 (95%CI: 0.631-0.671) and 0.599 (95% CI: 0.579-0.620).

CONCLUSIONS

RAR is independently correlated with in hospital mortality and in AF. High level of RAR is associated with increased in-hospital mortality rates.

In-hospital changes in the red blood cell distribution width and mortality in critically ill patients with heart failure

AIMS

A high red blood cell distribution width (RDW) at admission or discharge is associated with a worse prognosis in hospitalized patients with heart failure (HF), and the prognostic value of the in-hospital change in RDW (∆RDW) remains debatable.

METHODS AND RESULTS

We included 5514 patients with critical illness and HF from the MIMIC-IV database. The ΔRDW was calculated by the RDW at discharge minus that at admission. Clinical outcomes included all-cause mortality at 90 day, 180 day, and 1 year after discharge. The median age of the patients was 73.91 years, and 46.37% were women. Kaplan-Meier curve and Cox regression analyses were used to examine the association between the ΔRDW and all-cause mortality at different time points. A multivariable Cox proportional hazard model showed that the ΔRDW (per 1% increase) was independently associated with all-cause mortality at 90 day, 180 day, and 1 year after adjusting for confounding factors (hazard ratio [HR] = 1.17, 95% confidence interval [CI] = 1.13-1.21, P < 0.001; HR = 1.17, 95% CI = 1.14-1.20, P < 0.001; and HR = 1.18, 95% CI = 1.15-1.20, P < 0.001, respectively). Restricted cubic splines showed a non-linear relationship between the ΔRDW and the risk of clinical outcomes. High ΔRDW was associated with a high risk of mortality at different time points. A subgroup analysis showed that this positive association remained consistent in pre-specified subgroups.

CONCLUSIONS

Our study suggests that an increased RDW during hospitalization is independently associated with short- or long-term all-cause mortality in critical-ill patients with HF.

Red blood cell distribution width and all-cause mortality in congestive heart failure patients: a retrospective cohort study based on the Mimic-III database

Background

The red blood cell distribution width (RDW) is a metric that measures the variation in the size of red blood cells and is presented as the red blood cell volume coefficient of variation. Increased RDW levels are closely linked to an elevated risk of death from congestive heart failure (CHF) and might be a new risk marker for cardiovascular disease. This research sought to evaluate the possible link between RDW levels and all-cause mortality in CHF patients after controlling for other covariates.

Methods

The publicly accessible Mimic-III database served as the source of data for our research. We employed ICU admission scoring systems to gather information on each patient's demographical data, laboratory test results, comorbid conditions, vital signs, and scores. Among CHF patients, the link between baseline RDW levels and short-, medium-, and long-term all-cause mortality was evaluated by Cox proportional hazard analysis, smooth curve fitting, and Kaplan-Meier survival curves.

Results

In total, 4,955 participants were selected for the study with an average age of 72.3 ± 13.5 years (old) and with males accounting for 53.1%. The findings recorded from the fully adjusted Cox proportional hazard model showed that higher RDW was associated with a greater risk of 30-day, 90-day, 365-day, and 4-year all-cause death; the HRs and 95% confidence intervals were 1.11 (1.05, 1.16), 1.09 (1.04, 1.13), 1.10 (1.06, 1.14), and 1.10 (1.06, 1.13), respectively. The results were stable and reliable using subgroup analysis. Smooth curve fitting and the K-M survival curve method further validated our results.

Conclusion

The RDW levels had a u-shaped connection with 30-day mortality. The RDW level was linked to an elevated risk of short-, medium-, and long-term all-cause death among CHF patients.

Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients

BACKGROUND

Various investigations have specified the role of each RBC indices separately [including hemoglobin (Hb), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red blood cell distribution width (RDW)] to predict the prognosis of acute heart failure (AHF) patients. However, in the current study, these variables were compared based on accuracy, sensitivity, and specificity to determine the best prognostic factor.

METHODS

Of 734 heart failure patients referred to the emergency department, 400 cases were enrolled based on the inclusion and exclusion criteria. Data of them were documented, and patients were followed for one year. Eventually, the association of clinical variables and RBC indices with one-year mortality was explored.

RESULTS

The study included 226 (56%) men and 174 (44%) women with a median age of 66 years. Body Mass Index (HR 1.098, p = 0.016), Hb (HR 0.728, p = 0.024), HTC (HR 0.875, p = 0.066), MCHC (HR 0.795, p = 0.037), and RDW-CV (HR 1.174, p = 0.006) were confirmed as predictors of long-term mortality. Despite confirming the predictive role of these variables by ROC curves, their sensitivity and specificity were reported as follows: [72% and 50% for Hb], [75% and 52% for  HCT], [88% and 27% for MCHC], and [49% and 81% for RDW]. In addition, stratified groups of patients, based on normal cut-off values obtained from scientific literature, had significantly different survival in Kaplan-Meier analyses.

CONCLUSION

Whilst proving the predictive role of Hb,  HCT, MCHC, and RDW in AHF patients, the most sensitive measurement was MCHC and the most specific one was RDW; therefore, these variables should be considered for risk stratification purposes of AHF patients in daily clinical practice.

Red Blood Cell Distribution Width in Heart Failure: Pathophysiology, Prognostic Role, Controversies and Dilemmas

Red blood cell distribution width (RDW), an integral parameter of the complete blood count (CBC), has been traditionally used for the classification of several types of anemia. However, over the last decade RDW has been associated with outcome in patients with several cardiovascular diseases including heart failure. The role of RDW in acute, chronic and advanced heart failure is the focus of the present work. Several pathophysiological mechanisms of RDW’s increase in heart failure have been proposed (i.e., inflammation, oxidative stress, adrenergic stimulation, undernutrition, ineffective erythropoiesis, reduced iron mobilization, etc.); however, the exact mechanism remains unknown. Although high RDW values at admission and discharge have been associated with adverse prognosis in hospitalized heart failure patients, the prognostic role of in-hospital RDW changes (ΔRDW) remains debatable. RDW has been incorporated in recent heart failure prognostic models. Utilizing RDW as a treatment target in heart failure may be a promising area of research.

Parameters of the complete blood count predict in hospital mortality

INTRODUCTION

Mortality rates are used to evaluate the quality of hospital care after adjusting for disease severity and, commonly also, for age, comorbidity, and laboratory data with only few parameters of the complete blood count (CBC).

OBJECTIVE

To identify the parameters of the CBC that predict independently in-hospital mortality of acutely admitted patients.

POPULATION

All patients were admitted to internal medicine, cardiology, and intensive care departments at the Laniado Hospital in Israel in 2018 and 2019.

VARIABLES

Independent variables were patients' age, sex, and parameters of the CBC. The outcome variable was in-hospital mortality.

ANALYSIS

Logistic regression. In 2018, we identified the variables that were associated with in-hospital mortality and validated this association in the 2019 cohort.

RESULTS

In the validation cohort, a model consisting of nine parameters that are commonly available in modern analyzers had a c-statistics (area under the receiver operator curve) of 0.86 and a 10%-90% risk gradient of 0%-21.4%. After including the proportions of large unstained cells, hypochromic, and macrocytic red cells, the c-statistic increased to 0.89, and the risk gradient to 0.1%-29.5%.

CONCLUSION

The commonly available parameters of the CBC predict in-hospital mortality. Addition of the proportions of hypochromic red cells, macrocytic red cells, and large unstained cells may improve the predictive value of the CBC.

Red blood cell distribution width as a prognostic biomarker for viral infections: prospects and challenges

Viral diseases remain a significant global health threat, and therefore prioritization of limited healthcare resources is required to effectively manage dangerous viral disease outbreaks. In a pandemic of a newly emerged virus that is yet to be well understood, a noninvasive host-derived prognostic biomarker is invaluable for risk prediction. Red blood cell distribution width (RDW), an index of red blood cell size disorder (anisocytosis), is a potential predictive biomarker for severity of many diseases. In view of the need to prioritize resources during response to outbreaks, this review highlights the prospects and challenges of RDW as a prognostic biomarker for viral infections, with a focus on hepatitis and COVID-19, and provides an outlook to improve the prognostic performance of RDW for risk prediction in viral diseases.

Prognostic Value of Red Blood Cell Distribution Width in Transcatheter Aortic Valve Replacement Patients

OBJECTIVE

Elevated red blood cell distribution width (RDW) level has been shown to be associated with poor outcomes in patients with cardiovascular disease. Limited data are available regarding the prognostic value of RDW in transcatheter aortic valve replacement (TAVR) patients. Therefore, we aimed to investigate the impact of RDW variation on outcomes of TAVR patients.

METHODS

From March 20, 2012, to February 20, 2020, the pre-TAVR RDW levels of 1,163 consecutive TAVR patients were examined. Receiver operating curves were set to define the most accurate cut-point, which was subsequently validated in our validation set. Associations of RDW levels with early and long-term outcomes were investigated.

RESULTS

A total of 988 patients were eligible for the analysis. Patients with 30-day, 1-year, and 7-year mortality had significantly higher pre-TAVR RDW levels (15.8% [12.9-19.1] vs 14.7% [11.6-26.3], P = 0.01; 16% [12.3-26.3] vs 14.7% [11.6-24.3], P < 0.001; 15.6% [12.3-26.3] vs 14.6% [11.6-24.3], P < 0.001, respectively). A RDW of 14.5% was found as the most sensitive and specific cut-point for mortality at 1 and 7 years (HR = 2.6, 95% CI: 1.6-4.2, P < 0.001; HR = 1.8, 95% CI: 1.3-2.4, P < 0.001), with mortality of 22% versus 10% at 1 year (P < 0.001) and 37% versus 27% at 7 years (P < 0.001) in patients with RDW ≥14.5% versus those with RDW <14.5%.

CONCLUSIONS

RDW is an important prognostic factor in TAVR patients. A RDW level higher than 14.5% is significantly associated with post-TAVR early and late mortality. RDW levels should be incorporated into current risk assessment models as an additional variable to predict post-TAVR outcomes.

Correlation of the changing trends of red cell distribution width and serum lactate as a prognostic factor in sepsis and septic shock

Background and Aims:

Various biomarkers are used for predicting outcome from sepsis and septic shock but single value doesn't give clear-cut picture. Changing trends of serum lactate and red cell distribution width (RDW) gives more accurate information of patient outcome. So, aim of this prospective observational study was to identify the correlation, for initial and changing trend of blood lactate level and RDW, with 28-day mortality in sepsis and septic shock.

Material and Methods:

Patient who fulfills the criteria of sepsis and septic shock, according to the consensus conference published in 2016, were included in this study. All patients were resuscitated and managed according to institutional protocol for sepsis and septic shock. Serum lactate and RDW was obtained from arterial blood gas and complete blood count, respectively. Serum lactate and RDW were recorded at 0 h, 6 h, 24 h, day 2, day 3, day 7, week 2, and week 3. Mean between two groups were compared with student t-test. Pearson and Spearman correlation coefficient was used for establishing correlation between two continuous data. P value < 0.05 indicates significant difference between two groups.

Results:

There is positive correlation between serum lactate and RDW at all-time point in non-survival group while negative correlation was found in survival group except on day1 and 2.

Conclusion:

Changing trends of serum lactate and RDW can be used as a prognostic marker in patient of sepsis and septic shock.

Can Platelet Count and Mean Platelet Volume and Red Cell Distribution Width Be Used as a Prognostic Factor for Mortality in Intensive Care Unit?

Introduction

Critical patients are those patients who have psychological unstability that can cause morbidity and mortality in a short period of time. These patients need to be intensively monitored for organ function like cardiovascular, respiratory and neurological system. The most critical patients are transferred to intensive care unit (ICU) for close watch. It is not rare that hematological system of critical patient is affected from strong inflammation.

The main purpose of this study is to be able to determine platelet count (PLT), mean platelet volume (MPV) and red cell distribution width (RDW) admission value to predict mortality in ICU. Secondary purpose is to present a view about clinical use of these blood parameters.

Material and methods

In this study, RDW, MPV and PLT values of the patients in the first intensive care admission were evaluated and were compared with the last hemogram values before death. Glasgow Coma Score (GCS) and other risk factors for mortality were tried to be determined to show determinants of scoring systems on mortality in patients admitted to ICU.

Results

When compared with ICU entry in all patient groups and laboratory markers prior to exitus, the value of the input RDW was 14.66 ± 3.08 and the output RDW was 15.94 ± 9.59. Admission value of MPV was 8.180 ± 2.09, and before death the value of MPV was 9.199 ± 2.24. Statistically, it was significantly high (p < 0.001). The MPV values increased in all groups and cerebrovascular disease (CVD), respiratory failure, cardiac causes, head trauma and malignancies were statistically significantly high (p < 0.05). Admission value of PLT was 215.46 ± 116.8, and before death the value of PLT was 154.73 ± 101.32. Statistically, it was significantly low (p < 0.001).

Conclusions

The study showed that the difference between PLT, MPV and RDW values in the ICU and values before death, and decrease in PLT and increase in MPV and RDW in all patients were statistically significant. We believe that decrease in PLT, increase in MPV and RDW is a prognostic factor for mortality.

Valls R, Pallares Lopez R, Palanques-Tost E, Mow C, Westover MB, Aguirre AD, Higgins JM. Association of Red Blood Cell Distribution Width With Mortality Risk in Hospitalized Adults With SARS-CoV-2 Infection

Importance

Coronavirus disease 2019 (COVID-19) is an acute respiratory illness with a high rate of hospitalization and mortality. Biomarkers are urgently needed for patient risk stratification. Red blood cell distribution width (RDW), a component of complete blood counts that reflects cellular volume variation, has been shown to be associated with elevated risk for morbidity and mortality in a wide range of diseases.

Objective

To investigate whether an association between mortality risk and elevated RDW at hospital admission and during hospitalization exists in patients with COVID-19.

Design, Setting, and Participants

This cohort study included adults diagnosed with SARS-CoV-2 infection and admitted to 1 of 4 hospitals in the Boston, Massachusetts area (Massachusetts General Hospital, Brigham and Women's Hospital, North Shore Medical Center, and Newton-Wellesley Hospital) between March 4, 2020, and April 28, 2020.

Main Outcomes and Measures

The main outcome was patient survival during hospitalization. Measures included RDW at admission and during hospitalization, with an elevated RDW defined as greater than 14.5%. Relative risk (RR) of mortality was estimated by dividing the mortality of those with an elevated RDW by the mortality of those without an elevated RDW. Mortality hazard ratios (HRs) and 95% CIs were estimated using a Cox proportional hazards model.

Results

A total of 1641 patients were included in the study (mean [SD] age, 62[18] years; 886 men [54%]; 740 White individuals [45%] and 497 Hispanic individuals [30%]; 276 nonsurvivors [17%]). Elevated RDW (>14.5%) was associated with an increased mortality risk in patients of all ages. The RR for the entire cohort was 2.73, with a mortality rate of 11% in patients with normal RDW (1173) and 31% in those with an elevated RDW (468). The RR in patients younger than 50 years was 5.25 (normal RDW, 1% [n = 341]; elevated RDW, 8% [n = 65]); 2.90 in the 50- to 59-year age group (normal RDW, 8% [n = 256]; elevated RDW, 24% [n = 63]); 3.96 in the 60- to 69-year age group (normal RDW, 8% [n = 226]; elevated RDW, 30% [104]); 1.45 in the 70- to 79-year age group (normal RDW, 23% [n = 182]; elevated RDW, 33% [n = 113]); and 1.59 in those ≥80 years (normal RDW, 29% [n = 168]; elevated RDW, 46% [n = 123]). RDW was associated with mortality risk in Cox proportional hazards models adjusted for age, D-dimer (dimerized plasmin fragment D) level, absolute lymphocyte count, and common comorbidities such as diabetes and hypertension (hazard ratio of 1.09 per 0.5% RDW increase and 2.01 for an RDW >14.5% vs ≤14.5%; P < .001). Patients whose RDW increased during hospitalization had higher mortality compared with those whose RDW did not change; for those with normal RDW, mortality increased from 6% to 24%, and for those with an elevated RDW at admission, mortality increased from 22% to 40%.

Conclusions and Relevance

Elevated RDW at the time of hospital admission and an increase in RDW during hospitalization were associated with increased mortality risk for patients with COVID-19 who received treatment at 4 hospitals in a large academic medical center network.

Association between red blood cell distribution width and mortality in diabetic ketoacidosis

Background

No epidemiological studies have assessed the impact of red blood cell distribution width (RDW) on the prognosis of diabetic ketoacidosis (DKA) patients in the intensive care unit (ICU). Thus, we investigated whether RDW was associated with mortality in DKA patients.

Material and method

We analyzed data from MIMIC-III. RDW was measured at ICU admission. The relationship between RDW and mortality of DKA was determined using a multivariate Cox regression analysis. The primary outcome of the study was 365-day mortality from the date of ICU admission. We also conducted a subgroup analysis to further confirm the consistency of associations.

Results

In total, 495 critically ill DKA patients were eligible for analysis. In the univariable Cox regression model for 365-day all-cause mortality, RDW was a predictor of all-cause mortality in DKA patients (hazard ratio [HR]: 1.30, 95% confidence interval [CI]: 1.19–1.43). After adjusting for confounders, RDW was still a particularly strong predictor (HR: 1.23, 95% CI: 1.05–1.45). The same relationship was also observed for 90-day all-cause mortality (HR: 1.29, 95% CI: 1.02–1.65).

Conclusions

High RDW was associated with risk of all-cause mortality in DKA patients in the ICU. RDW was an independent prognostic factor for these patients.

Prognostic value of pre-treatment red blood cell distribution width in lung cancer: a meta-analysis

Objective: In recent years, increasing studies found that pre-treatment red blood cell distribution width (RDW) could predict clinical outcomes in various cancers. However, the prognostic value of pre-treatment RDW in lung cancer was inconsistent. Therefore, we performed a meta-analysis to determine prognostic value of pre-treatment RDW in lung cancer.Methods: We performed a search in PubMed, The Cochrane Library, EMBASE (via OVID), Web of Science, CNKI, Wanfang, VIP, SinoMed databases, then we identified all records up to February 15, 2019. Outcomes of interest were overall survival (OS) and disease-free survival (DFS). Hazard ratios (HRs) and corresponding 95% confidence intervals (95% CIs) were calculated to assess the relevance of pre-treatment RDW to OS in lung cancer.Results: We included ten articles in total. Pooled results revealed that elevated pre-treatment RDW was significantly associated with poor OS (HR = 1.55, 95% CI: 1.26-1.92, p < 0.001) and DFS (HR = 1.53, 95% Cl: 1.15-2.05; p = 0.004) in lung cancer. Further subgroup analysis manifested that lung cancer patients with elevated pre-treatment RDW had worse prognosis.Conclusions: A higher value of pre-treatment RDW indicated worse survival of patients with lung cancer. RDW may serve as a reliable and economical marker for prediction of lung cancer prognosis.

Laboratory-based Intermountain Validated Exacerbation (LIVE) Score stability in patients with chronic obstructive pulmonary disease

BACKGROUND

The Laboratory-based Intermountain Validated Exacerbation (LIVE) Score is associated with mortality and chronic obstructive pulmonary disease (COPD) exacerbation risk across multiple health systems. However, whether the LIVE Score and its associated risk is a stable patient characteristic is unknown.

METHODS

We validated the LIVE Score in a fourth health system. Then we determined the LIVE Score stability in a retrospective cohort of 98 766 patients with COPD in four health systems where it was previously validated. We assessed whether LIVE Scores changed or remained the same over time. Stability was defined as a majority of surviving patients having the same LIVE Score 4 years later.

RESULTS

The LIVE Score separated patients into three LIVE Score risk groups of low, medium, and high mortality and LIVE Score stability. Mortality ranged from 6.2% for low-risk LIVE to 45.8% for high-risk LIVE (p<0.001). We found that low-risk LIVE groups were stable and high-risk LIVE groups were unstable. Low-risk LIVE group patients remained low risk, but few high-risk LIVE group patients remained high risk (79.0% high vs 48.1% medium vs 8.8% low, p<0.001 for all pairwise comparisons).

CONCLUSION

The LIVE Score identifies three major clinically actionable cohorts: a stable low-risk LIVE group, an unstable high-risk LIVE group with high mortality rates, and a medium-risk LIVE group. These observations further our understanding of how existing data used to calculate the LIVE Score may target interventions across risk cohorts of patients with COPD in a health system.

Changes of cardiac troponin I and hypersensitive C-reactive protein prior to and after treatment for evaluating the early therapeutic efficacy of acute myocardial infarction treatment

The present study aimed to evaluate the utility of the extent of change (C) and change rate (Cr) of cardiac troponin I (cTnI) and hypersensitive C-reactive protein (hs-CRP) prior to and after treatment in evaluating the early therapeutic efficacy of acute myocardial infarction (AMI) treatment. A total of 145 patients with AMI who received regular MI treatment were enrolled in the present study. Patients were divided into the effective group and the ineffective group based on the early therapeutic efficacy. The values of two parameters, namely the serum levels of cTnI and hs-CRP, were collected prior to and after AMI treatment. Data were analyzed by using the t-test, Chi-squared test, logistic regression and receiver operating characteristic (ROC) curve analysis. Compared with those in the ineffective group, the values of cTnI and hs-CRP after treatment [cTnI_(post) and hs-CRP_(post)], as well as their C and Cr values, were significantly decreased in the effective group (P<0.01). Furthermore, the positive rates (PR) of cTnI_(post), hs-CRP_(post), (cTnI+hs-CRP)_(post), C_(cTnI), C_(hs-CRP) and C_{(cTnI+hs-CRP)} were significantly lower in the effective group compared with those in the ineffective group (P<0.01). It was indicated that hs-CRP_(post) and C_(hs-CRP), as well as the PR-cTnI_(post) and the PR-C_(cTnI), may be used as independent factors for early therapeutic efficacy evaluation (P<0.05). In addition, the area under the ROC curve, as well as the associated sensitivity and specificity analysis for cTnI_(post), hs-CRP_(post), C_{(cTnI or hs-CRP)} and Cr_{(cTnI or hs-CRP)}, all indicated that these parameters were able to distinguish between the effective and the ineffective groups. The present study revealed that compared with the cTnI_(post) and hs-CRP_(post), the C and the Cr of cTnI and hs-CRP may have enhanced value for evaluating the early therapeutic efficacy of AMI treatment.

Association between red cell distribution width-to-platelet ratio and hepatic fibrosis in nonalcoholic fatty liver disease: A cross-sectional study

BACKGROUND

We aimed to assess the association between red cell distribution width-to-platelet ratio (RPR) and hepatic fibrosis in nonalcoholic fatty liver disease.

METHODS

The 388 subjects fulfilling the diagnostic criteria of Nonalcoholic fatty liver disease (NAFLD) were enrolled in this cross-sectional study. Red cell distribution, platelet, and other clinical and laboratory parameters were measured.

RESULTS

NAFLD patients with advanced fibrosis had significantly higher RPR than those without fibrosis (P < .001). Spearman correlation analysis showed that RPR were significantly correlated with age, sex, creatinine, hemoglobin, white blood cell, and advanced fibrosis (all with P < .05). Multivariate logistic regression analysis showed that RPR was an independent factor predicting advanced fibrosis (fibrosis-4 calculator ≥1.3) in NAFLD patients (OR: 5.718, 95%CI: 3.326-9.830, P < .001).

CONCLUSIONS

Our findings suggested that RPR were significantly associated with advanced fibrosis in nonalcoholic fatty liver disease patients.

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.

Extreme erythrocyte macrocytic and microcytic percentages are highly predictive of morbidity and mortality

BACKGROUND

The red cell distribution width (RDW) is associated with health outcomes. Whether non-RDW risk information is contained in RBC sizes is unknown. This study evaluated the association of the percentage of extreme macrocytic RBCs (%Macro, RBC volume > 120 fl) and microcytic RBCs (%Micro, RBC volume < 60 fl) and the RDW-size distribution (RDW-sd) with mortality and morbidity.

METHODS

Patients (females, n = 165,770; males, n = 100,210) at Intermountain Healthcare were studied if they had a hematology panel between May 2014 and September 2016. Adjusted sex-specific associations of %Macro/%Micro and RDW-sd with mortality and 33 morbidities were evaluated.

RESULTS

Among females with fourth-quartile values of %Macro quartile and %Micro (referred to throughout as 4/4), there was an average of 7.2 morbidities versus 2.9 in the lowest risk (LR1) categories, 1/1, 1/2, 2/1, and 2/2 (P < 0.001). Among males, those in the 4/4 category had 8.0 morbidities, while those in the LR1 had 3.4 (P < 0.001). Cox regressions found %Macro/%Micro (4/4 vs. LR1, females: hazard ratio [HR] = 1.97 [95% CI = 1.53, 2.54]; males: HR = 2.17 [CI = 1.72, 2.73]), RDW-sd (quartile 4 vs. 1, females: HR = 1.33 [CI = 1.04, 1.69]; males: HR = 1.41 [CI = 1.10, 1.80]), and RDW (quartile 4 vs. 1, females: HR = 1.59 [CI = 1.26, 2.00]; males: HR = 1.23 [CI = 0.99, 1.52]) independently predicted mortality. Limitations include that the observational design did not reveal causality and unknown confounders may be unmeasured.

CONCLUSIONS

Concomitantly elevated %Macro and %Micro predicted the highest mortality risk and the greatest number of morbidities, revealing predictive ability of RBC volume beyond what is measured clinically. Mechanistic investigations are needed to explain the biological basis of these observations.

FUNDING

This study was supported by internal Intermountain Heart Institute funds and in-kind support from Sysmex America Inc.

Red Blood Cell Distribution Width Improves Reclassification of Patients Admitted to the Emergency Department with Acute Decompensated Heart Failure

BACKGROUND

The usual history of chronic heart failure (HF) is characterized by frequent episodes of acute decompensation (ADHF), needing urgent management in the emergency department (ED). Since the diagnostic accuracy of routine laboratory tests remains quite limited for predicting short-term mortality in ADHF, this retrospective study investigated the potential significance of combining red blood cell distribution width (RDW) with other conventional tests for prognosticating ADHF upon ED admission.

METHODS

We conducted a retrospective study including visits for episodes of ADHF recorded in the ED of the Uni versity Hospital of Verona throughout a 4-year period. Demo - graphic and clinical features were recorded upon patient presentation. All patients were subjected to standard Chest X-ray, electrocardiogram (ECG) and laboratory testing in - cluding creatinine, blood urea nitrogen, B-type natriuretic peptide (BNP), complete blood cell count (CBC), sodium, chloride, potassium and RDW. The 30-day overall mortality after ED presentation was defined as primary endpoint.

RESULTS

The values of sodium, creatinine, BNP and RDW were higher in patients who died than in those who survived, whilst hypochloremia was more frequent in patients who died than in those who survived. The multivariate model, incorporating these parameters, displayed a modest efficiency for predicting 30-day mortality after ED admission (AUC, 0.701; 95% CI, 0.662-0.738; p=0.001). Notably, the inclusion of RDW in the model significantly enhanced prediction efficiency, with an AUC of 0.723 (95% CI, 0.693-0.763; p<0.001). These results were confirmed with net reclassification improvement (NRI) analysis, showing that combination of RDW with conventional laboratory tests resulted in a much better prediction performance (net reclassification index, 0.222; p=0.001).

CONCLUSIONS

The results of our study show that prognostic assessment of ADHF patients in the ED can be significantly improved by combining RDW with other conventional laboratory tests.

The Laboratory-Based Intermountain Validated Exacerbation (LIVE) Score Identifies Chronic Obstructive Pulmonary Disease Patients at High Mortality Risk

Background: Identifying COPD patients at high risk for mortality or healthcare utilization remains a challenge. A robust system for identifying high-risk COPD patients using Electronic Health Record (EHR) data would empower targeting interventions aimed at ensuring guideline compliance and multimorbidity management. The purpose of this study was to empirically derive, validate, and characterize subgroups of COPD patients based on routinely collected clinical data widely available within the EHR.

Methods: Cluster analysis was used in 5,006 patients with COPD at Intermountain to identify clusters based on a large collection of clinical variables. Recursive Partitioning (RP) was then used to determine a preferred tree that assigned patients to clusters based on a parsimonious variable subset. The mortality, COPD exacerbations, and comorbidity profile of the identified groups were examined. The findings were validated in an independent Intermountain cohort and in external cohorts from the United States Veterans Affairs (VA) and University of Chicago Medicine systems.

Measurements and Main Results: The RP algorithm identified five LIVE Scores based on laboratory values: albumin, creatinine, chloride, potassium, and hemoglobin. The groups were characterized by increasing risk of mortality. The lowest risk, LIVE Score 5 had 8% 4-year mortality vs. 56% in the highest risk LIVE Score 1 (p < 0.001). These findings were validated in the VA cohort (n = 83,134), an expanded Intermountain cohort (n = 48,871) and in the University of Chicago system (n = 3,236). Higher mortality groups also had higher COPD exacerbation rates and comorbidity rates.

Conclusions: In large clinical datasets across different organizations, the LIVE Score utilizes existing laboratory data for COPD patients, and may be used to stratify risk for mortality and COPD exacerbations.

Elevated red blood cell distribution width at ICU discharge is associated with readmission to the intensive care unit

BACKGROUND

Red blood cell distribution width (RDW) is a predictor of mortality in critically ill patients. Our objective was to investigate the association between the RDW at ICU discharge and the risk of ICU readmission or unexpected death in the ward.

METHODS

A secondary analysis of prospectively collected data study was conducted including patients discharged alive from the ICU to the ward. The target variable was the RDW collected at ICU discharge. Elevated RDW was defined as an RDW > 16%. Outcomes of interest included readmission to the ICU, unexpected death in the ward and in-hospital death. Variables with a p-value <0.1 in the univariate analysis or with biological plausibility for the occurrence of the outcome were included in the Cox proportional hazards model for adjustment.

RESULTS

We included 813 patients. A total of 138 readmissions to the ICU and 44 unexpected deaths in the ward occurred. Elevated RDW at ICU discharge was independently associated with readmission to the ICU or unexpected death in the ward after multivariable adjustment (HR: 1.901; 95% CI 1.357-2.662). Other variables associated with this outcome included age, tracheostomy and mean corpuscular volume (MCV) at ICU discharge. Similar results were obtained after the exclusion of unexpected deaths in the ward (HR 1.940; CI 1.312-2.871) and for in-hospital deaths (HR 1.716; 95% CI 1.141-2.580).

CONCLUSIONS

Elevated RDW at ICU discharge is independently associated with ICU readmission and in-hospital death.

Dynamic Change of Red Cell Distribution Width Levels in Prediction of Hospital Mortality in Chinese Elderly Patients with Septic Shock

Background:

The normal range of red cell distribution width (RDW) level is <15%. Several studies have indicated that a high RDW level was associated with mortality in critically ill patients, and the patients with a high RDW level need increased focus in clinical practice. In view of the difficulty in defining the specific value of high RDW level, the key is to focus on the patient with the level beyond the normal upper limit. This study aimed to determine whether dynamic change of RDW levels, rather than the level itself, is predictive of death in elderly patients with septic shock when RDW level is beyond 15%.

Methods:

Between September 2013 and September 2015, the elderly septic shock patients with RDW level beyond 15% were enrolled in this study. The RDW levels were measured at enrollment (day 1), and days 4 and 7 after enrollment. Sequential Organ Failure Assessment (SOFA) scores were recorded simultaneously.

Results:

A total of 45 patients, including 32 males and 13 females, were included in the final analysis. Based on their hospital outcomes, these patients were divided into the survivor group (n = 26) and the nonsurvivor group (n = 19). There were no significant differences in age, gender, body mass index, initial level of RDW, Acute Physiology and Chronic Health Evaluation II scores, and SOFA scores between survivors and nonsurvivors. At days 4 and 7 measurement, both RDW level (median [interquartile range]: day 4: 15.8 [2.0]% vs. 16.7 [2.0]%, P = 0.011; and day 7: 15.6 [1.8]% vs. 17.7 [2.5]%, P = 0.001) and SOFA scores (day 4: 7.0 [4.0] vs. 16.0 [5.0], P < 0.001, day 7: 5.5 [4.0] vs. 17.0 [5.0], P < 0.001) were significantly lower in survivors than those in nonsurvivors. Dynamic changes of RDW and SOFA scores in survivor group were significantly different from those in nonsurvivor group (all P < 0.05). Continuous increase in RDW level was observed in 10 of the 13 nonsurvivors, but only in 3 of the 26 survivors. The level of RDW7 and dynamic changes significantly correlated with their counterparts of SOFA scores (all P < 0.05), whereas the levels of RDW1 and RDW4 had no significant correlation with their counterparts of SOFA scores (all P > 0.05).

Conclusions:

Continuous increase in RDW level, rather than the level of RDW itself, was more useful in predicting hospital death in elderly patients with septic shock when the level of RDW was >15%. The dynamic changes of RDW were highly correlated with the SOFA score in the patients.

Red blood cell distribution width in heart failure: A narrative review

The red blood cell distribution width (RDW) is a simple, rapid, inexpensive and straightforward hematological parameter, reflecting the degree of anisocytosis in vivo. The currently available scientific evidence suggests that RDW assessment not only predicts the risk of adverse outcomes (cardiovascular and all-cause mortality, hospitalization for acute decompensation or worsened left ventricular function) in patients with acute and chronic heart failure (HF), but is also a significant and independent predictor of developing HF in patients free of this condition. Regarding the biological interplay between impaired hematopoiesis and cardiac dysfunction, many of the different conditions associated with increased heterogeneity of erythrocyte volume (i.e., ageing, inflammation, oxidative stress, nutritional deficiencies and impaired renal function), may be concomitantly present in patients with HF, whilst anisocytosis may also directly contribute to the development and worsening of HF. In conclusion, the longitudinal assessment of RDW changes over time may be considered an efficient measure to help predicting the risk of both development and progression of HF.

Dynamic Monitoring of Erythrocyte Distribution Width (RDW) and Platelet Distribution Width (PDW) in Treatment of Acute Myocardial Infarction

Background

This study investigated the role of erythrocyte distribution width (RDW) and platelet distribution width (PDW) in evaluating the treatment efficacy for acute myocardial infarction (AMI).

Material/Methods

A total of 120 AMI patients receiving conventional myocardial infarction treatment were included. The patients were divided into an effective group and an ineffective group based on treatment efficacy. The RDW and PDW were measured before and after treatment. We used the independent samples t test, chi-square test, logistic regression, and ROC curves for analysis.

Results

The change and change rate of RDW and PDW were significantly improved (p<0.01) and the positive change rate of RDW, PDW, and RDW + PDW were significantly lower in the effective group compared with those in the ineffective group (p<0.01). The change and change rate of RDW and PDW are independent factors for treatment efficacy evaluation (p<0.05). ROC curve analysis showed that the changes and change rate of RDW and PDW were all significant in evaluating treatment efficacy (p<0.05).

Conclusions

The change and change rate of RDW and PDW or their combination can be used to evaluate treatment efficacy; however, the absolute value of RDW and PDW are not as significant.

Brief Report: Elevated Red Cell Distribution Width Identifies Elevated Cardiovascular Disease Risk in Patients With HIV Infection

Red cell distribution width (RDW) is linked to cardiovascular risk in the general population, an association that might be driven by inflammation. Whether this relationship holds for patients with HIV infection has not been previously studied. Using a large clinical registry, we show that elevated RDW (>14.5%) is independently associated with increased risk of coronary artery disease {odds ratio [OR] 1.39 [95% confidence interval (CI): 1.25 to 1.55]}, peripheral vascular disease [OR 1.41 (95% CI: 1.29 to 1.53)], myocardial infarction [1.43 (95% CI: 1.25 to 1.63)], heart failure [OR 2.23 (95% CI: 1.99 to 2.49)], and atrial fibrillation [OR 1.96 (95% CI: 1.64 to 2.33)]. In conclusion, in the context of the inflammatory milieu that accompanies HIV infection, RDW remains a powerful marker of cardiovascular disease.

Early in-hospital variation of red blood cell distribution width predicts mortality in patients with acute heart failure

BACKGROUND

Some studies showed that the value of red blood cell distribution width (RDW) at admission may predict clinical outcomes in patients with acutely decompensated heart failure (ADHF). Therefore, this study was planned to investigate whether in-hospital variations of RDW may also predict mortality in this condition.

METHODS

The final study population consisted of 588 patients admitted to the local Emergency Department (ED), who were hospitalized for ADHF. The RDW was measured at ED admission and after 48h and 96h of hospital stay. In-hospital variations from admission value, expressed as absolute variation (DeltaRDW) or percent variation (Delta%RDW), were then correlated with 30- and 60-day mortality.

RESULTS

Overall, 87 (14.8%) and 118 (20.1%) patients with ADHF died at 30 or 60days of follow-up. Delta%RDW after 96h of hospital stay independently predicted 30-day mortality (odds ratio, 1.12; 95% CI, 1.07-1.18). An increase >1% of Delta%RDW after 96h of hospital stay independently predicted both 30-day (odds ratio, 2.86; 95% CI, 1.67-4.97) and 60-day (odds ratio, 3.06; 95% CI, 1.89-4.96) mortality. A similar trend was observed for DeltaRDW, since an increase after 96h of hospital stay was associated with a nearly 4-fold higher 30-day mortality (odds ratio, 3.65; 95% CI, 2.02-6.15).

CONCLUSION

Despite it remains unclear whether RDW is a real risk factor or an epiphenomenon in ADHF, these results suggest that more aggressive management may be advisable in ADHF patients with increasing anisocytosis during the first days of hospitalization.

The Role of Red Cell Distribution Width as a Predictor of Mortality for Critically Ill Patients in an Inner-city Hospital

Background:

Red cell distribution width (RDW) is a measure of the variation in the red blood cell volume that is usually recorded as a part of the standard complete blood cell count. Recent studies have demonstrated the prognostic value of RDW in many different clinical settings. The objective of this research study is to investigate the independent association of RDW with 30-day mortality in Intensive Care Unit (ICU) patients.

Methods:

One hundred and fifty-six patients admitted to the ICU of our hospital between July 2009 and June 2011 were included in our study. Out of 156 patients, 124 survived the hospital stay. The data on patient's demographics, interventions done in ICU, and their comorbidities were collected. Baseline variables and the RDW value were compared between survivors and nonsurvivors. The cutoff point for RDW used for the comparison was 15.75. Both univariable and multivariable analyses were done. P < 0.05 was considered statistically significant.

Results:

In the univariable analysis of the study between survivors and nonsurvivors, the median RDW was 17.20 for nonsurvivors, implying statistical significance (P = 0.007). In multivariable analysis, RDW remained significantly associated with inpatient mortality. The receiver operating characteristic is 0.656 (P = 0.007), with an optimal cutoff of 15.75 for RDW. At the cutoff of RDW, i.e., 15.75, the sensitivity and specificity for inpatient mortality was 71% and 89%, respectively.

Conclusion:

In critically ill ICU patients, RDW is an independent predictor of 30-day mortality. Taking into consideration the fact that RDW is routinely measured in complete blood count with no additional cost, this can serve as an “inexpensive prognostic marker” in critically ill patients.