Red cell distribution width and common disease onsets in 240,477 healthy volunteers followed for up to 9 years. PLoS One. 2018;13:e0203504. [PMID: 30212481 PMCID: PMC6136726 DOI: 10.1371/journal.pone.0203504]

Investigating the Utility of Red Blood Cell Distribution Width as a Prognostic Indicator for Deterioration of Patients with Chronic Obstructive Pulmonary Disease Within One Year

BackGround

Considerable studies have demonstrated a significant association between red blood cell distribution width (RDW) and clinical adverse events in cardiovascular or respiratory diseases, infections, and pulmonary embolism. However, there are limited data on prognostic predictions for patients suffering from chronic obstructive pulmonary disease (COPD).

Methods

This study conducted a retrospective cohort analysis using data gathered from patients who diagnosed with COPD in the respiratory department of The Central hospital of Enshi Tujia and Miao Autonomous Prefecture between 2018 and 2021. Specifically, the RDW was recorded on their first admission. Multivariate logistic regression analysis were employed to examine the correlation between RDW and deterioration of COPD within one-year period.

Results

The cohort of 1799 patients in the study comprised 74.7% male and had an average age of 68.9 ± 9.9 years. The fully adjusted model revealed that, the RDW-middle group (≤13.7,>12.8; OR 1.5, 95% CI 1.0-2.3, p=0.055) and the RDW-high group (>13.7; OR 1.7, 95% CI 1.1-2.6, p=0.013) had a 50% and 70% increased risk of deterioration within 1 year, respectively, in comparison with the RDW-low group (≤12.8). Subgroup analysis indicated that this trend was more significant in patients with hypertension (p for interaction = 0.016), and the probability of deterioration within 1 year in the RDW-high group was 3.3 times higher compared to the RDW-low group (OR 3.3, 95% CI 1.4-7.9, p=0.008).

Conclusion

A significant association was observed between the increase in RDW and the heightened risk of deterioration within a year in patients diagnosed with COPD. Most importantly, our findings suggested the importance of RDW in enhancing the risk stratification and prevention of deterioration of COPD.

Red Blood Cell Distribution Width is a Biomarker of Red Cell Dysfunction Associated with High Systemic Inflammation and a Prognostic Marker in Heart Failure and Cardiovascular Disease: A Potential Predictor of Atrial Fibrillation Recurrence

At the beginning of the 21st century, approximately 2.3 million US adults had atrial fibrillation (AF), and there has been a 60% increase in hospital admissions for AF. Given that the expectancy is a continuous increase in incidence, it portends a severe healthcare problem. Considerable evidence supports the immune system and inflammatory response in cardiac tissue, and circulatory processes are involved in the physiopathology of AF. In this regard, finding novel inflammatory biomarkers that predict AF recurrence after catheter ablation (CA) is a prime importance global healthcare problem. Many inflammatory biomarkers and natriuretic peptides came out and were shown to have predictive capabilities for AF recurrence in patients undergoing CA. In this regard, some studies have shown that red blood cell distribution width (RDW) is associated with the risk of incident AF. This review aimed to provide an update on the evidence of the RDW as a biomarker of red cell dysfunction and its association with high systemic inflammation, and with the risk of incident AF. Through the literature review, we will highlight the most relevant studies of the RDW related to AF recurrence after CA. Many studies demonstrated that RDW is associated with all cause-mortality, heart failure, cardiovascular disease, and AF, probably because RDW is a biomarker of red blood cell dysfunction associated with high systemic inflammation, reflecting an advanced heart disease with prognostic implications in heart failure and cardiovascular disease. Thus, suggesting that could be a potential predictor for AF recurrence after CA. Moreover, the RDW is a parameter included in routine full blood count, which is low-cost, quick, and easy to obtain. We provided an update on the evidence of the most relevant studies of the RDW related to AF recurrence after CA, as well as the mechanism of the high RDW and its association with high systemic inflammation and prognostic marker in cardiovascular disease and heart failure.

Is Red Cell Distribution Width a Reliable Marker for Cardiovascular Diseases? A Narrative Review

Red cell distribution width (RDW) is an easy-to-access marker which is routinely measured in complete blood count (CBC) test. Besides the classic use of RDW as a marker for discriminating different types of anemia, recent studies had indicated the relationship between high RDW and cardiovascular diseases. High RDW is not only useful in the diagnosis and prognostication of various cardiovascular conditions but also could be used as a valuable tool for predicting the incidence of cardiovascular diseases. population-based studies have indicated that higher RDW could effectively predict the incidence of heart failure (HF), atherosclerotic diseases, and atrial fibrillation (AF). It has been also demonstrated that higher RDW is associated with worse outcomes in these diseases. Recent studies have shown that high RDW is also associated with other cardiovascular conditions including cardiomyopathies, and pulmonary hypertension. The predictive role of RDW in endovascular interventions has also been demonstrated by many recent studies. Here in this review, we attempt to compile the most recent findings with older reports regarding the relation between high RDW and HF, cardiomyopathies, pulmonary hypertension, AF, atherosclerotic disorders, primary hypertension, and the outcomes of endovascular interventions. we also discussed the role of RDW in the prognostication of different cardiovascular conditions when combined with classic classification criteria.

Red Cell Distribution Width and Mean Corpuscular Volume Alterations: Detecting Inflammation Early in Occupational Cement Dust Exposure

Introduction Cement dust emitted during cement manufacture consists of toxic components. Occupational cement dust exposure may cause inflammation in the human body, which may be detected early by observing changes in blood parameters such as red blood cell distribution width (RDW) and mean corpuscular volume (MCV). Objectives The study aims to observe the effect of occupational cement dust exposure on RDW and MCV. Methods This study was performed in the Department of Physiology of Dhaka Medical College, Dhaka, Bangladesh, and a factory in Munshiganj, Bangladesh, from September 2017 to August 2018. Ninety-two participants between 20 and 50 years were included (46 subjects were occupationally exposed to cement dust, and 46 were not exposed to cement dust). A pre-designed questionnaire was used for data collection. An independent sample t-test was used to analyze basic information, such as blood pressure and BMI. The multivariate regression model was used to analyze the effect of cement dust exposure on the study group. The impact of cement dust exposure duration was analyzed using the multivariate regression model. The level of significance was p < 0.05. The statistical analysis was performed using STATA-15 (StataCorp, College Station, TX), and the graphical presentation used GraphPad Prism v8.3.2. Results The cement dust-exposed participants had a significantly higher value of MCV by 1.19 fi (95% CI = 0.02, 4.84; p = 0.049) and a 5.92% increase in RDW (95% CI = 5.29, 6.55; p < 0.001) than that of the control group. Conclusion The study reveals that exposure to cement dust causes significant changes in RDW and MCV. These changes may indicate hemolysis due to inflammation.

Ratio of Red Blood Cell Distribution Width to Albumin Level and Risk of Mortality

Importance

The ratio of red blood cell distribution width (RDW) to albumin concentration (RAR) has emerged as a reliable prognostic marker for mortality in patients with various diseases. However, whether RAR is associated with mortality in the general population remains unknown.

Objectives

To explore whether RAR is associated with all-cause and cause-specific mortality and to elucidate their dose-response association.

Design, Setting, and Participants

This population-based prospective cohort study used data from participants in the 1998-2018 US National Health and Nutrition Examination Survey (NHANES) and from the UK Biobank with baseline information provided from 2006 to 2010. Included participants had complete data on serum albumin concentration, RDW, and cause of death. The NHANES data were linked to the National Death Index records through December 31, 2019. For the UK Biobank, dates and causes of death were obtained from the National Health Service Information Centre (England and Wales) and the National Health Service Central Register Scotland (Scotland) to November 30, 2022.

Main Outcomes and Measures

Potential associations between RAR and the risk of all-cause and cause-specific mortality were evaluated using Cox proportional hazards regression models. Restricted cubic spline regressions were applied to estimate possible nonlinear associations.

Results

In NHANES, 50 622 participants 18 years of age or older years were included (mean [SD] age, 48.6 [18.7] years; 26 136 [51.6%] female), and their mean (SD) RAR was 3.15 (0.51). In the UK Biobank, 418 950 participants 37 years of age or older (mean [SD], 56.6 [8.1] years; 225 038 [53.7%] female) were included, and their mean RAR (SD) was 2.99 (0.31). The NHANES documented 7590 deaths over a median (IQR) follow-up of 9.4 (5.1-14.2) years, and the UK Biobank documented 36 793 deaths over a median (IQR) follow-up of 13.8 (13.0-14.5) years. According to the multivariate analysis, elevated RAR was significantly associated with greater risk of all-cause mortality (NHANES: hazard ratio [HR], 1.83 [95% CI, 1.76-1.90]; UK Biobank: HR, 2.08 [95% CI, 2.03-2.13]), as well as mortality due to malignant neoplasm (NHANES: HR, 1.89 [95% CI, 1.73-2.07]; UK Biobank: HR, 1.93 [95% CI, 1.86-2.00]), heart disease (NHANES: HR, 1.88 [95% CI, 1.74-2.03]; UK Biobank: HR, 2.42 [95% CI, 2.29-2.57]), cerebrovascular disease (NHANES: HR, 1.35 [95% CI, 1.07-1.69]; UK Biobank: HR, 2.15 [95% CI, 1.91-2.42]), respiratory disease (NHANES: HR, 1.99 [95% CI, 1.68-2.35]; UK Biobank: HR, 2.96 [95% CI, 2.78-3.15]), diabetes (NHANES: HR, 1.55 [95% CI, 1.27-1.90]; UK Biobank: HR, 2.83 [95% CI, 2.35-3.40]), and other causes of mortality (NHANES: HR, 1.97 [95% CI, 1.86-2.08]; UK Biobank: HR, 2.40 [95% CI, 2.30-2.50]) in both cohorts. Additionally, a nonlinear association was observed between RAR levels and all-cause mortality in both cohorts.

Conclusions and Relevance

In this cohort study, a higher baseline RAR was associated with an increased risk of all-cause and cause-specific mortality in the general population. These findings suggest that RAR may be a simple, reliable, and inexpensive indicator for identifying individuals at high risk of mortality in clinical practice.

Red blood cell distribution width (RDW) is associated with unfavorable functional outcome after transfemoral transcatheter aortic valve implantation

Background

Red blood cell distribution width (RDW) is calculated in every blood count test and reflects variability in erythrocyte size. High levels mirror dysregulated erythrocyte homeostasis and have been associated with clonal hematopoiesis as well as higher mortality in several conditions.We aimed to determine the impact of preprocedural RDW levels on functional outcomes after transcatheter aortic valve implantation (TAVI).

Methods

In this single-center retrospective study, we analyzed 176 consecutive patients receiving TAVI between 2017 and 2021. RDW upper limit of normal was < 15 %. Patients were stratified according to preprocedural RDW as having normal or elevated values. We assessed all-cause-mortality and a composite endpoint comprising cardiovascular/ valve-related mortality and cardiovascular, valve-related and heart failure hospitalization at 1 year.

Results

43 patients (24.4 %) had RDW ≥ 15 %. There were significant baseline differences between groups (Society of Thoracic Surgeons - Predicted Risk of Mortality score 3.18 %[interquartile range 1.87-5.47] vs. 6.63 %[4.12-10.54] p < 0.001; hemoglobin 13.2 g/dL[11.8-14.1] vs. 10.4 g/dL[9.8-12.2], p < 0.001, RDW-normal vs. RDW-high, respectively). Age was not distinct (80.2 years [77.5-84.1] vs 81.2[71.3-84.7], p = 0.78). 1-year-all-cause mortality was not different (7.9 % vs. 9.4 %, p = 0.79). The RDW-high group showed markedly higher NT-proBNP levels after 1 year (647 ng/ml[283-1265] vs. 1893 ng/ml[744-5109], p = 0.005), and experienced more clinical endpoints (hazard ratio 2.57[1.28-5.16] for the composite endpoint, p = 0.006). RDW remained an independent predictor of the composite endpoint when accounting for all baseline differences in multivariable regression.

Conclusion

Elevated preprocedural RDW identifies patients at risk for impaired functional outcome after TAVI and may represent a useful low-cost parameter to guide intensity of outpatient surveillance strategies.

Predictive value of red blood cell distribution width and hematocrit for short-term outcomes and prognosis in colorectal cancer patients undergoing radical surgery

BACKGROUND

Previous studies have reported that low hematocrit levels indicate poor survival in patients with ovarian cancer and cervical cancer, the prognostic value of hematocrit for colorectal cancer (CRC) patients has not been determined. The prognostic value of red blood cell distribution width (RDW) for CRC patients was controversial.

AIM

To investigate the impact of RDW and hematocrit on the short-term outcomes and long-term prognosis of CRC patients who underwent radical surgery.

METHODS

Patients who were diagnosed with CRC and underwent radical CRC resection between January 2011 and January 2020 at a single clinical center were included. The short-term outcomes, overall survival (OS) and disease-free survival (DFS) were compared among the different groups. Cox analysis was also conducted to identify independent risk factors for OS and DFS.

RESULTS

There were 4258 CRC patients who underwent radical surgery included in our study. A total of 1573 patients were in the lower RDW group and 2685 patients were in the higher RDW group. There were 2166 and 2092 patients in the higher hematocrit group and lower hematocrit group, respectively. Patients in the higher RDW group had more intraoperative blood loss (P < 0.01) and more overall complications (P < 0.01) than did those in the lower RDW group. Similarly, patients in the lower hematocrit group had more intraoperative blood loss (P = 0.012), longer hospital stay (P = 0.016) and overall complications (P < 0.01) than did those in the higher hematocrit group. The higher RDW group had a worse OS and DFS than did the lower RDW group for tumor node metastasis (TNM) stage I (OS, P < 0.05; DFS, P = 0.001) and stage II (OS, P = 0.004; DFS, P = 0.01) than the lower RDW group; the lower hematocrit group had worse OS and DFS for TNM stage II (OS, P < 0.05; DFS, P = 0.001) and stage III (OS, P = 0.001; DFS, P = 0.001) than did the higher hematocrit group. Preoperative hematocrit was an independent risk factor for OS [P = 0.017, hazard ratio (HR) = 1.256, 95% confidence interval (CI): 1.041-1.515] and DFS (P = 0.035, HR = 1.194, 95%CI: 1.013-1.408).

CONCLUSION

A higher preoperative RDW and lower hematocrit were associated with more postoperative complications. However, only hematocrit was an independent risk factor for OS and DFS in CRC patients who underwent radical surgery, while RDW was not.

Predictive Value of the Hb/RDW Ratio for the Risk of All-Cause Death in Patients with Heart Failure with Different Ejection Fractions

INTRODUCTION

The prognostic value of the ratio of haemoglobin to red cell distribution width (HRR) in different types of heart failure (HF) is not well known.

METHOD AND RESULTS

We analysed the long-term prognostic value of HRR in patients with HF using the Cox proportional risk model and Kaplan-Meier method. We reviewed consecutive 972 HF patients. The overall mortality rate was 45.68%. Mortality was 52.22% in the HFrEF group and 40.99% in the HFpEF + HFmrEF group. Cox regression showed that when HRR increased by 1 unit, the risk of all-cause death in all HF patients decreased by 22.8% (HR: 0.772, 95% CI: 0.724, 0.823, p < 0.001), in the HFpEF + HFmrEF group it decreased by 15.5% (HR: 0.845, 95% CI: 0.774, 0.923, p < 0.001), and in the HFrEF group it decreased by 36.1% (HR: 0.639, 95% CI: 0.576, 0.709, p < 0.0001). Subgroup analysis showed that there were interactions between the EF and HRR groups. The group in which HRR best predicted all-cause death from HF was group 1 (EF <40%, HRR <9.45), followed by group 2 (EF <40%, HRR ≥9.45), and group 3 (EF ≥40%, HRR <9.45). HRR had no predictive value in group 4 (EF ≥40%, HRR ≥9.45).

CONCLUSION

HRR is an important predictor of all-cause mortality in patients with HF, especially HFrEF. There is an interaction between HRR group and LVEF group.

A new biomarker to predict atrial fibrillation and its adverse events after coronary artery bypass surgery: red blood cell distribution volume

OBJECTIVE

Recent studies suggest that increased red blood cell distribution width may be associated with increased risk of atrial fibrillation. This study aimed to evaluate the relationship between pre-operative and postoperative erythrocyte distribution volume, postoperative atrial fibrillation and related adverse events in patients undergoing isolated coronary artery bypass surgery.

METHODS

A total of 790 patients (611 males, mean age 58.3 ± 6.2 years) in pre-operative sinus rhythm, who underwent isolated coronary artery bypass grafting with cardiopulmonary bypass at the same centre and by the same surgical team between January 2015 and December 2021, were enrolled retrospectively. Two groups were created, group 1 (n = 183) and group 2 (n = 607), with regard to the occurrence of atrial fibrillation in the early postoperative period or not, respectively. Clinical and demographic data, biochemical and complete blood count parameters, and intra-operative and postoperative data of the patients were recorded. Univariate and subsequent multivariate logistic regression analysis was done to determine significant clinical factors and independent predictors of postoperative atrial fibrillation.

RESULTS

Among the patients, 182 (23.2%) developed atrial fibrillation during the 72 hours postoperatively. Pre-operative and postoperative first-, third- and seventh-day red blood cell distribution volume (p = 0.0001), C-reactive protein (p = 0.0001) and erythrocyte sedimentation rate (p = 0.0001) were significantly increased in group 1. Multivariate logistic regression analysis showed elevated pre-operative and postoperative first-, thirdand seventh-day red blood cell distribution volume, erythrocyte sedimentation rate and C-reactive protein as independent predictors of early postoperative atrial fibrillation.

CONCLUSIONS

Pre-operative and postoperative red blood cell distribution volume was found to be an independent predictor of atrial fibrillation and associated adverse events in the early postoperative period of isolated coronary artery bypass grafting.

Metabolomic markers mediate erythrocyte anisocytosis in older adults: Results from three independent aging cohorts

BACKGROUND

Anisocytosis reflects unequal-sized red blood cells and is quantified using red blood cell distribution width (RDW). RDW increases with age and has been consistently associated with adverse health outcomes, such as cardiovascular disease and mortality. Why RDW increases with age is not understood. We aimed to identify plasma metabolomic markers mediating anisocytosis with aging.

METHODS

We performed mediation analyses of plasma metabolomics on the association between age and RDW using resampling techniques after covariate adjustment. We analyzed data from adults aged 70 or older from the main discovery cohort of the Baltimore Longitudinal Study of Aging (BLSA, n = 477, 46% women) and validation cohorts of the Health, Aging and Body Composition Study (Health ABC, n = 620, 52% women) and Invecchiare in Chianti, Aging in the Chianti Area (InCHIANTI) study (n = 735, 57% women). Plasma metabolomics was assayed using the Biocrates MxP Quant 500 kit in BLSA and Health ABC and liquid chromatography with tandem mass spectrometry in InCHIANTI.

RESULTS

In all three cohorts, symmetric dimethylarginine (SDMA) significantly mediated the association between age and RDW. Asymmetric dimethylarginine (ADMA) and 1-methylhistidine were also significant mediators in the discovery cohort and one validation cohort. In the discovery cohort, we also found choline, homoarginine, and several long-chain triglycerides significantly mediated the association between age and RDW.

CONCLUSIONS AND RELEVANCE

This metabolomics study of three independent aging cohorts identified a specific set of metabolites mediating anisocytosis with aging. Whether SDMA, ADMA, and 1-methylhistidine are released by the damaged erythrocytes with high RDW or they affect the physiology of erythrocytes causing high RDW should be further investigated.

Red cell distribution width and mortality in older patients with frailty in the emergency department

BACKGROUND

The red cell distribution width (RDW) reflects the degree of heterogeneity of red blood cells. Elevated RDW is associated both with frailty and with increased mortality in hospital-admitted patients. In this study we evaluate whether high RDW values are associated with mortality in older emergency department (ED) patients with frailty, and if the association is independent of the degree of frailty.

METHODS

We included ED patients with the following criteria: ≥ 75 years of age, Clinical Frailty Scale (CFS) score of 4 to 8, and RDW % measured within 48 h of ED admission. Patients were allocated to six classes by their RDW value: ≤ 13%, 14%, 15%, 16%, 17%, and ≥ 18%. The outcome was death within 30 days of ED admission. Crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for a one-class increase in RDW for 30-day mortality were calculated via binary logistic regression analysis. Age, gender and CFS score were considered as potential confounders.

RESULTS

A total of 1407 patients (61.2% female), were included. The median age was 85 with an inter-quartile range (IQR) of 80-89, median CFS score 6 (IQR: 5-7), and median RDW 14 (IQR: 13-16). Of the included patients, 71.9% were admitted to hospital wards. A total of 85 patients (6.0%) died during the 30-day follow-up. Mortality rate was associated with RDW increase (p for trend < .001). Crude OR for a one-class increase in RDW for 30-day mortality was 1.32 (95% CI: 1.17-1.50, p < .001). When adjusted for age, gender and CFS-score, OR of mortality for one-class RDW increase was still 1.32 (95% CI: 1.16-1.50, p < .001).

CONCLUSION

Higher RDW values had a significant association with increased 30-day mortality risk in frail older adults in the ED, and this risk was independent of degree of frailty. RDW is a readily available biomarker for most ED patients. It might be beneficial to include it in risk stratification of older frail ED patients to identify those who could benefit from further diagnostic assessment, targeted interventions, and care planning.

Red Cell Distribution Width as a Prognostic Indicator for Mortality and ICU Admission in Patients with COVID-19

BACKGROUND

COVID-19 disease caused by the SARS-CoV-2 virus can lead to an acute respiratory illness with a high hospitalization and mortality risk. Therefore, prognostic indicators are essential for early interventions. As a component of complete blood counts, the coefficient of variation (CV) of red blood cell distribution width (RDW) reflects cellular volume variations. It has been shown that RDW is associated with increased mortality risk in a wide range of diseases. This study aimed to determine the relationship between RDW and mortality risk in COVID-19 patients.

METHODS

This retrospective study was performed on 592 patients admitted to hospital between February 2020 and December 2020. Patients were divided into low and high RDW groups and the relationship between RDW and mortality, intubation, admission to intensive care unit (ICU), and need for oxygen therapy was investigated.

RESULTS

The mortality rate in the low RDW group was 9.4%, while that in the high group was 20% (p < 0.001). Also, ICU admission in the low group was 8%, whereas this was 10% in the high RDW group (p = 0.040). The results of the Kaplan-Meyer curve showed that the survival rate was higher in the low group compared to the high RDW group. Cox results in the crude model showed that higher RDW values were directly related to increased mortality, although this was not significant after adjustment for other covariates.

CONCLUSION

The results of our study reveal that high RDW is associated with increased hospitalization and risk of death and that RDW may be a reliable indicator of COVID-19 prognosis.

Association between red blood cell distribution width and left ventricular hypertrophy in pediatric essential hypertension

AIM

Left ventricular hypertrophy (LVH) is one of the most common types of target organ damage in hypertension. The red blood cell distribution width (RDW) is closely related to many cardiovascular diseases, including hypertension. The aim of this study was to analyze the relationship between the RDW level and LVH in pediatric essential hypertension.

MATERIALS AND METHODS

A total of 429 untreated children and adolescents with essential hypertension were recruited and divided into an LVH group (n = 114) and non-LVH group (n = 315) according to left ventricular mass index (LVMI) and relative wall thickness (RWT) by color Doppler ultrasound. Spearman correlation analysis was used to determine the relationship between RDW and LVMI, RWT. The effect of RDW on LVH was determined using a multivariate logistic regression analysis. To assess the predictive value of RDW on LVH, the receiver operating characteristic (ROC) curve was used.

RESULTS

The level of RDW in children with hypertension in the LVH group was significantly higher than that in the non-LVH group (13.0 [12.0, 13.0] vs. 12.4 [12.0, 13.0] %, P = 0.001). The incidence of low and high quantiles of LVH was 21.0% and 32.0%, respectively. Spearman correlation analysis showed that RDW was positively correlated with C-reactive protein (CRP), LVMI, RWT, and red blood cell (RBC) count (P all < 0.05), and negatively correlated with hemoglobin (HGB) level, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) (P all < 0.05). After adjusting for various confounding factors, a multivariate logistic regression model revealed that RDW was an independent risk factor for LVH (OR = 1.946, 95% CI: 1.324-2.861, P = 0.001). The area under the ROC curve of RDW predicting centripetal hypertrophy was 0.700 (95% CI: 0.541-0.859, P < 0.05) in pediatric essential hypertension.

CONCLUSIONS

Increased RDW levels are an independent risk factor for LVH in pediatric essential hypertension, and RDW may be a predictor of LVH in untreated pediatric essential hypertension.

Association of Red Blood Cell Distribution Width with Stroke Prognosis Among Patients with Small Artery Occlusion: A Hospital-Based Prospective Follow-Up Study

Objective

Stroke is the leading cause of mortality and disability worldwide. However, there is no study on the relationship between red blood cell distribution width and the prognosis of small artery occlusion, which is a stroke subtype. This study aimed to assess the association of red blood cell distribution width at admission with outcomes among patients with small artery occlusion.

Methods

In this hospital-based follow-up study, all included patients were diagnosed with small artery occlusion. Outcomes included death, recurrence, and dependency at 3, 12, and 36 months after stroke onset. Multivariate analysis was performed to explore the association of red blood cell distribution width with stroke outcomes.

Results

This study included 1576 patients with small artery occlusion who were followed up at 3, 12, and 36 months. For every unit increase in red blood cell distribution width, the risk of stroke recurrence and dependency increased by 5.1% (95% CI 1.002–1.102, P=0.039) at 3 months after stroke onset. At the 12-month follow-up, for every unit increase in red blood cell distribution width, the risk of stroke recurrence increased by 3.4% (95% CI 1.000–1.069, P=0.047). However, the relationship between red blood cell distribution width and mortality rate was not significant at 36 months after stroke onset after adjustment of covariates.

Conclusion

Red blood cell distribution width is an important hematological index of small artery occlusion. It may be used to predict the recurrence of acute ischemic stroke in small artery occlusion. Therefore, patients with higher baseline values of red blood cell distribution width may need more risk factor control to reduce recurrence and dependency.

Prognostic Value of Pretreatment Red Blood Cell Distribution Width in Patients With Esophageal Cancer Who Underwent Esophagectomy: A Retrospective Study

Objective

This comprehensive analysis aimed to elucidate the mechanism underlying how high pretreatment red blood cell distribution width (RDW) reflects poor prognosis after esophagectomy for esophageal cancer.

Background

Several cohort studies have reported that preoperative RDW might be a predictive marker for poor prognosis after esophagectomy; however, the underlying mechanism of this relationship has not been elucidated.

Methods

This study included 626 patients with esophageal cancer who underwent esophagectomy between April 2005 and November 2020. A retrospective investigation of the association between pretreatment RDW and clinicopathological features, blood data, short-term outcomes, and prognosis was conducted using a prospectively entered institutional clinical database and the latest follow-up data.

Results

Of 626 patients, 87 (13.9%) had a high pretreatment RDW. High RDW was significantly associated with several disadvantageous characteristics regarding performance status, the American Society of Anesthesiologists physical status, respiratory comorbidity, and nutritional status. Similarly, high RDW correlated with frequent postoperative morbidities (respiratory morbidity and reoperation; P = 0.022 and 0.034, respectively), decreased opportunities for adjuvant chemotherapy (P = 0.0062), and increased death from causes other than esophageal cancer (P = 0.046). Finally, RDW could be an independent predictor of survival after esophagectomy (hazard ratio, 1.47; 95% confidence interval, 1.009-2.148; P = 0.045).

Conclusion

High pretreatment RDW reflected various adverse backgrounds and it could be a surrogate marker of poor prognosis in patients who have undergone esophagectomy for esophageal cancer.

Association of RDW, NLR, and PLR with Atrial Fibrillation in Critical Care Patients: A Retrospective Study Based on Propensity Score Matching

Objective

Previous studies have shown inconsistent results in relation to the red cell distribution width (RDW), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) of atrial fibrillation (AF). This retrospective study is aimed at detecting the association of RDW, NLR, and PLR with AF.

Methods

A total of 4717 critical care patients were screened from the Medical Information Mart for Intensive Care- (MIMIC-) III database. The patients were separated into the non-AF and AF groups. The imbalances between the groups were reduced using propensity score matching (PSM). ROC curves were generated to detect the diagnostic value of RDW, NLR, and PLR. Logistic regression analysis was used to detect the risk factors for AF.

Results

A total of 991 non-AF patients paired with 991 AF patients were included after PSM in this study. The RDW level in the AF group was significantly higher than that in the non-AF group (15.09 ± 1.93vs. 14.89 ± 1.91, P = 0.017). Neither NLR nor PLR showed any significant difference between the two groups (P > 0.05 for each). According to ROC curve, RDW showed a very low diagnostic value of AF (AUC = 0.5341), and the best cutoff of RDW was 14.1 (ACU = 0.5257, sensitivity = 0.658, specificity = 0.395). Logistic regression analysis showed that an elevated RDW level increased 1.308-fold (95%CI = 1.077-1.588, P = 0.007) risk of AF. Neither elevated NLR nor elevated PLR was a significant risk factor for AF (OR = 0.993, 95%CI = 0.802-1.228, P = 0.945 for NLR; OR = 0.945, 95%CI = 0.763-1.170, P = 0.603 for PLR).

Conclusions

Elevated RDW level but not NLR or PLR levels is associated with AF. RDW > 14.1 is a risk factor for AF, but its diagnostic capacity for AF is not of great value.

Higher red cell distribution width and poorer hospitalization-related outcomes in elderly patients

BACKGROUND

Red cell distribution width (RDW), an index for variation of red blood cell (RBC) size, has been proposed as a potential marker for poorer outcomes in several aging-related diseases and conditions. We tested whether greater variability of RBC size, presented as a higher RDW value, predicts poor prognoses among hospitalized patients over 60 years old.

METHODS

We retrospectively collected data from older hospitalized patients aged ≥60 years between January 2013 to December 2017 at Sutter Health, a large integrated health system in Northern California. The RDW was measured during hospital admission and categorized with 1% intervals (≤13.9, 14.0-14.9, 15.0-15.9, 16.0-16.9, 17.0-17.9 and ≥18.0%). The primary outcome was the rate of in-hospital mortality and secondary outcomes included 30-day re-admission rate and length of hospital stay (in days).

RESULTS

A total of 167,292 admissions from 94,617 patients were included. The overall in-hospital mortality rate was 6.3%. As the RDW value increased, the rate of in-hospital mortality gradually increased from 2.7% for the lowest RDW category to 12.2% in the highest category (p-trend <0.001). The overall 30-day re-admission rate after discharge was 12.5% and the rate of 30-day re-admission also increased with increasing RDW categories (7.4% in the lowest group vs. 15.8% in the highest group, p-trend <0.001). Patients with the highest RDW values at admission stayed 1.5-2.0 times longer in the hospital than patients with lower RDW values who were admitted for the same causes.

CONCLUSIONS

Greater variability of RBC size is significantly associated with worse prognosis in hospitalized elderly patients, indicating higher mortality, greater risk of early re-admission, and longer hospital stay days. Risk stratification strategies for hospitalized elderly should include RDW value.

Role of red blood cell distribution width, as a prognostic indicator in COVID-19: A systematic review and meta-analysis

The red blood cell distribution width (RDW), an indicator of anisocytosis has emerged as a potential tool for risk stratification of critically ill patients with sepsis. Prognostic predictors are of paramount interest for prompt intervention and optimal utilization of the healthcare system in this ongoing context of the Coronavirus Disease 2019 (COVID-19) pandemic. The current systematic review and meta-analysis aims to explore the utility of RDW in the prognosis of COVID-19 patients. A comprehensive screening of electronic databases was performed up to 30th April 2021 after enrolling in PROSPERO (CRD42020206685). Observational studies or interventional studies, evaluating the impact of RDW in COVID-19 outcomes (mortality and severity) are included in this meta-analysis.Our search retrieved 25 studies, with a total of 18,392 and 3,446 COVID-19 patients for mortality and disease severity outcomes. Deceased and critically ill patients had higher RDW levels on admission in comparison to survivors and non-severe patients (SMD = 0.46; 95%CI 0.31-0.71; I2  = 88% and SMD = 0.46; 95%CI 0.26-0.67; I2  = 60%, respectively). In a sub-group analysis of 2,980 patients, RDW > 14.5 has been associated with increased risk of mortality (OR = 2.73; 95%CI 1.96-3.82; I2  = 56%). However, the evidences is of low quality. A higher level of RDW on admission in COVID-19 patients is associated with increased morbidity and mortality. However, further studies regarding the cut-off value of RDW are the need of the hour.

Association of red blood cell distribution width with postoperative new-onset atrial fibrillation following cardiac valve replacement surgery: A retrospective study

PURPOSE

The aim of this study was to evaluate the impact of preoperative red blood cell distribution width (RDW) values on the risk of postoperative new-onset atrial fibrillation (PNAF) during hospitalization following cardiac valve replacement surgery.

MATERIALS AND METHODS

The clinical data of 148 patients with preoperative sinus rhythm who underwent cardiac valve replacement surgery at The First Affiliated Hospital of Anhui Medical University from September 2017 to June 2018 were retrospectively analyzed. Univariate and multivariate logistic regression analyses were used to determine the relationship between preoperative RDW values and the development of PNAF.

RESULTS

Forty-nine of the 148 patients (33.1%) developed PNAF. The median preoperative RDW was 13.1 (12.6-17.2), while the median RDW value was significantly higher in patients with PNAF than in those without PNAF [14.1 (13.2-15.0) vs. 12.9 (12.4-13.5), P < 0.001]. Multivariate logistic regression analysis showed that preoperative RDW values were significantly correlated with the occurrence of PNAF (odds ratio: 1.940, 95% confidence interval: 1.377 to 2.731, P < 0.001).

CONCLUSIONS

Preoperative RDW is an independent risk factor for PNAF during hospitalization following cardiac valve replacement surgery. This finding suggests that preoperative RDW measurement may be used to stratify the risk for PNAF development in patients undergoing cardiac surgery.

Prognostic Impact of Red Cell Distribution Width on the Development of Contrast-Induced Nephropathy, Major Adverse Cardiac Events, and Mortality in Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention

Red cell distribution width (RDW) serves as an independent predictor towards the prognosis of coronary artery disease (CAD) in patients undergoing percutaneous coronary intervention (PCI). A systematic search of databases such as PubMed, Embase, Web of Science, and Cochrane library was performed on October 10th, 2019, to elaborate the relationship between RDW and in hospital and long term follow up, all-cause and cardiovascular mortality, major adverse cardiac events (MACE) and development of contrast-induced nephropathy (CIN) in patients with CAD undergoing PCI. Twenty-one studies qualified this strict selection criterion (number of patients = 56,425): one study was prospective, and the rest were retrospective cohorts. Our analysis showed that patients undergoing PCI with high RDW had a significantly higher risk of in-hospital all-cause mortality (OR 2.41), long-term all-cause mortality (OR 2.44), cardiac mortality (OR 2.65), MACE (OR: 2.16), and odds of developing CIN (OR: 1.42) when compared to the patients with low RDW. Therefore, incorporating RDW in the predictive models for the development of CIN, MACE, and mortality can help in triage to improve the outcomes in coronary artery disease patients who undergo PCI.

Red Cell Distribution Width and Mortality in Patients Undergoing Percutaneous Coronary Intervention

Red cell distribution width (RDW) can effectively predict prognosis in coronary artery disease (CAD) patients following percutaneous coronary intervention (PCI). There is currently no relevant research to demonstrate a linear or non-linear association between RDW and mortality. This is a multi-center, retrospective cohort study, with data collected from 2006 to 2017. Source data included electronic medical records of the Integrated Medical Database of National Taiwan University Hospital, and health insurance claims from the National Health Insurance Administration. Patients were stratified into five groups according to RDW values (13.4%, 14.1%, 14.8%, and 15.9%). Multivariable logistic and Cox regression analyses were used to determine 1-year all-cause and cardiovascular (CV) mortalities. Data of 10,669 patients were analyzed and those with the lowest RDW (≤13.3%) served as the reference group. The adjusted odds ratios (ORs) of 1-year all-cause mortality from the second to fifth RDW group were 1.386, 1.589, 2.090, and 3.192, respectively (p for trend < 0.001). The adjusted ORs of 1-year CV mortality were 1.555, 1.585, 1.623, and 2.850, respectively (p for trend = 0.015). The adjusted hazard ratios (HRs) of 1-year all-cause mortality were 1.394, 1.592, 2.003, and 2.689, respectively (p for trend = 0.006). The adjusted HRs of 1-year CV mortality were 1.533, 1.568, 1.609, and 2.710, respectively (p for trend = 0.015). RDW was an independent predicting factor and had a linear relationship with the 1-year all-cause and CV mortalities in patients undergoing PCI. Thus, RDW may be a clinically useful parameter to predict the mortality in those patients.

ΔRDW: A Novel Indicator with Predictive Value for the Diagnosis and Treatment of Multiple Diseases

Elevated red blood cell distribution width (RDW) is a powerful predictor of poor prognosis in a variety of diseases, but a single measurement of RDW cannot reflect the dynamic change of diseases. ΔRDW, as a risk stratification tool, can be used to record changes in RDW before and after treatment; also, it allows investigators to name the unit change of RDW in the studied population. So far, there have been few relevant studies on the predictive value of ΔRDW for different diseases; this article aims to review the studies and summaries of the current understandings on the correlation between ΔRDW and disease outcomes.

Pretreatment red blood cell distribution width as an efficient predictor of survival in older patients undergoing hip fracture surgery

PURPOSE

We aimed to determine whether pretreatment red blood cell distribution width (RDW) is an efficient predictor of 30-day mortality in older patients undergoing hip fracture surgery.

METHODS

In this prospective cohort study, 203 patients with hip fractures were eligible and followed up for at least 30 days. All the patients underwent medical examinations. RDW was measured using an automated hematology analyzer. To evaluate the prognostic significance of RDW, Cox proportional hazard model and Kaplan-Meier analyses were performed.

RESULTS

Of the 203 patients (114 men, 89 women), 28 (13.79%) died within 30 days. The mean RDW was significantly higher in the deceased group than in the survival group (14.54% ± 1.09% vs 13.26% ± 0.57%; P < .001). Multivariate Cox regression analysis showed that elevated RDW (hazard ratio = 2.73, 95% confidence interval = 2.06-3.62, P < .001) was the key predictor of 30-day mortality in older patients undergoing hip fracture surgery. Survival analysis showed that patients with a high RDW had a significantly higher 30-day mortality rate (log-rank test, P < .05). Similar results were observed in the male and female subgroups.

CONCLUSION

RDW might be an effective predictor of 30-day mortality in older patients undergoing hip fracture surgery.

Red Cell Distribution Width and Mean Platelet Volume in Patients With Ankylosing Spondylitis: A Systematic Review and Meta-analysis

OBJECTIVE

The results of previous studies regarding the relationship between red cell distribution width (RDW) or mean platelet volume (MPV) levels and ankylosing spondylitis (AS) are inconsistent. Therefore, we conducted this meta-analysis to systematically evaluate the associations.

METHODS

The Web of Science, PubMed, and Cochrane Library (as of February 14, 2019) were used to retrieve relevant articles. Pooled standard mean difference (SMD) and its 95% confidence interval (CI) were calculated. All statistical analyses were performed using the "meta" and "metafor" packages of the R 3.5.1 software.

RESULTS

Nine studies on RDW, including 775 AS patients and 972 healthy controls, and 8 studies on MPV, including 743 AS patients and 571 healthy controls, were included. The results showed that RDW levels were significantly higher in AS patients (SMD = 0.67; 95% CI, 0.30 to 1.05; p < 0.001) compared with healthy controls, whereas MPV levels (SMD = 0.01; 95% CI, -0.28 to 0.30; p = 0.929) were not significantly different from healthy controls.

CONCLUSIONS

Our current study shows that the elevated levels of RDW may be associated with AS, whereas MPV levels may be not associated with AS.

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.

Usefulness of red cell distribution width to predict mortality in patients undergoing endovascular repair of abdominal aortic aneurysms

BACKGROUND

Red cell distribution width (RDW) reflecting impaired erythropoyesis, has been associated with poor prognosis and mortality in several conditions. The aim of this study was to determine the relationship between RDW and the 5-year survival after the endovascular repair of abdominal aortic aneurysms (EVAR) and its ability to improve the discriminative power of a survival predictive score.

METHODS

Retrospective analysis of 284 patients undergoing EVAR at a single centre. The pattern of relationship between RDW and survival was assessed with penalized smoothing splines. Categorized RDW values were added to a predictive score based in standard preoperative variables, whose improvement in discriminative power was calculated on the basis of changes in the C-statistics and the continuous Net Reclassification Index (c-NRI).

RESULTS

The survival rate at 5 years was 66.2% and was independently associated with hemoglobin (HR=0.85,p<0.004), statin intake (HR=0.54,p<0.004), heart failure (HR=2.53,p<0.018), atrial fibrillation (HR=2.53,p<0.000) and the non-revascularized coronary artery disease (HR=2.15, p<0.005). The relationship between RDW values and 5-year survival was linear. RDW-CV and RDW-SD were categorized to cut-off values of ≥15% (n=83,29.2%) and ≥50 fL (n=82, 28.9%) that were independently associated with poorer 5-year survival rates (HR=2.03,CI95%=1.29-3.19,p=0.002 and HR=1.89, CI95%=1.21-2.95,p=0.005, respectively). The addition of the RDW CV or the RDW-SD to the baseline predictive score significantly improved the c-NRI (0.437,p<0.001 and 0.442,p<0.001, respectively).

CONCLUSIONS

High preoperative RDW levels were linear and adversely related to 5-year survival after EVAR, improved the discriminative power of a predictive score based in standard preoperative variables and may help in decision-making at the time of surgical planning.

Clinical Significance of Pretreatment Red Blood Cell Distribution Width as a Predictive Marker for Postoperative Morbidity After Esophagectomy for Esophageal Cancer: A Retrospective Study

Background

Clinical significance of red blood cell distribution (RDW) as a predictive marker for the incidence of postoperative morbidity after esophagectomy for esophageal cancer has not been established.

Methods

This study included 634 consecutive patients who underwent three-incisional esophagectomy with lymphadenectomy for esophageal cancer between April 2005 and November 2020. Correlation between pretreatment RDW and patient background, cancer background, and short-term outcome after esophagectomy were retrospectively investigated.

Results

Eighty patients (12.6%) had a high pretreatment RDW (> 14.2), which correlated with malnutrition estimated by body mass index, hemoglobin, total lymphocyte count, albumin, and total cholesterol. High pretreatment RDW was an independent risk factor for postoperative severe morbidity of grade IIIb or higher based on the Clavien–Dindo classification (hazard ratio [HR] 3.90, 95% confidence interval [CI] 1.707–8.887; p = 0.0012) and reoperation (HR 4.39, 95% CI 1.552–12.390; p = 0.0053) after open esophagectomy (OE). However, RDW was not associated with postoperative morbidity incidence after minimally invasive esophagectomy (MIE).

Conclusions

Pretreatment RDW may be a surrogate marker for nutritional status and could be a predictive marker for postoperative severe morbidity, reoperation, and possibly pneumonia after OE. On the contrary, the lower invasiveness of MIE may have reduced the effect of pretreatment malnutrition on morbidity incidence, which could explain the insignificant relationship between RDW and poor short-term outcomes in MIE.

Supplementary Information

The online version contains supplementary material available at 10.1245/s10434-021-10719-2.

Risk-Predictive and Diagnostic Biomarkers for Colorectal Cancer; a Systematic Review of Studies Using Pre-Diagnostic Blood Samples Collected in Prospective Cohorts and Screening Settings

This systematic review summarizes the evidence for blood-based colorectal cancer biomarkers from studies conducted in pre-diagnostic, asymptomatic settings. Of 1372 studies initially identified, the final selection included 30 studies from prospective cohorts and 23 studies from general screening settings. Overall, the investigations had high quality but considerable variability in data analysis and presentation of results, and few biomarkers demonstrated a clinically relevant discriminatory ability. One of the most promising biomarkers was the anti-p53 antibody, with consistent findings in one screening cohort and in the 3-4 years prior to diagnosis in two prospective cohort studies. Proteins were the most common type of biomarker assessed, particularly carcinoembryonic antigen (CEA) and C-reactive protein (CRP), with modest results. Other potentially promising biomarkers included proteins, such as AREG, MIC-1/GDF15, LRG1 and FGF-21, metabolites and/or metabolite profiles, non-coding RNAs and DNA methylation, as well as re-purposed routine lab tests, such as ferritin and the triglyceride-glucose index. Biomarker panels generally achieved higher discriminatory performance than single markers. In conclusion, this systematic review highlighted anti-p53 antibodies as a promising blood-based biomarker for use in colorectal cancer screening panels, together with other specific proteins. It also underscores the need for validation of promising biomarkers in independent pre-diagnostic settings.

Association Between Variation in Red Cell Size and Multiple Aging-Related Outcomes

BACKGROUND

We tested whether greater variation in red blood cell size, measured by red cell distribution width (RDW), may predict aging-related degenerative conditions and therefore, serve as a marker of biological aging.

METHODS

Three thousand six hundred and thirty-five community-dwelling older men were enrolled in the prospective Osteoporotic Fractures in Men Study. RDW was categorized into 4 groups (≤13.0%, 13.1%-14.0%, 14.1%-15.0%, and ≥15.1%). Functional limitations, frailty, strength, physical performance, and cognitive function were measured at baseline and 7.4 years later. Falls were recorded in the year after baseline; hospitalizations were obtained for 2 years after baseline. Mortality was assessed during a mean of 8.3 years of follow-up.

RESULTS

Participants with greater variability in red cell size were weaker, walked more slowly, and had a worse cognitive function. They were more likely to have functional limitations (35.2% in the highest RDW category vs 16.0% in the lowest, p < .001) and frailty (30.3% vs 11.3%, p < .001). Those with greater variability in red cell size were more likely to develop new functional limitations and to become frail. The risk of having 2 or more falls was also greater (highest 19.2% vs lowest 10.3%, p < .001). The risk of hospitalization was higher in those with the highest variability (odds ratio [95% confidence interval], 1.8 [1.3-2.5]) compared with the lowest. Variability in red cell size was related to total and cause-specific mortality.

CONCLUSION

Greater variability in red cell size is associated with diverse aging-related outcomes, suggesting that it may have potential value as a marker for biological aging.

Biomarkers of Senescence during Aging as Possible Warnings to Use Preventive Measures

Human life expectancy is increasing significantly over time thanks to the improved possibility for people to take care of themselves and the higher availability of food, drugs, hygiene, services, and assistance. The increase in the average age of the population worldwide is, however, becoming a real concern, since aging is associated with the rapid increase in chronic inflammatory pathologies and degenerative diseases, very frequently dependent on senescent phenomena that occur alongside with senescence. Therefore, the search for reliable biomarkers that can diagnose the possible onset or predict the risk of developing a disease associated with aging is a crucial target of current medicine. In this review, we construct a synopsis of the main addressable biomarkers to study the development of aging and the associated ailments.

The associations between red cell distribution width and plasma proteins in a general population

BACKGROUND

High red cell distribution width (RDW) has been increasingly recognized as a risk factor for cardiovascular diseases (CVDs), but the underlying mechanisms remain unknown. Our aim was to explore the associations between RDW and plasma proteins implicated in the pathogenesis of CVD using a targeted proteomics panel.

METHODS

RDW and 88 plasma proteins were measured in a population-based cohort study (n = 4726), Malmö Diet and Cancer-Cardiovascular Cohort (MDC-CC). A random 2/3 of the cohort was used as discovery sample and remaining 1/3 was used for replication. Multiple linear regression was used to assess the associations between RDW and plasma proteins, with adjustments for age, sex, and other potential confounders. Proteins with Bonferroni-corrected significant associations with RDW in the discovery sub-cohort were validated in the replication cohort.

RESULTS

Thirteen of 88 plasma proteins had significant associations with RDW in the discovery sample, after multivariate adjustments. Eleven of them were also significant in the replication sample, including SIR2-like protein 2 (SIRT2), stem cell factor (SCF, inversely), melusin (ITGB1BP2), growth differentiation factor-15 (GDF-15), matrix metalloproteinase-7 (MMP-7), hepatocyte growth factor (HGF), chitinase-3-like protein 1 (CHI3L1), interleukin-8 (IL-8), CD40 ligand (CD40-L), urokinase plasminogen activator surface receptor (U-PAR) and matrix metalloproteinase-3 (MMP-3).

CONCLUSIONS

Several proteins from this targeted proteomics panel were associated with RDW in this cohort. These proteins could potentially be linked to the increased cardiovascular risk in individuals with high RDW.

Pleiotropy within gene variants associated with nonalcoholic fatty liver disease and traits of the hematopoietic system

Genome-wide association studies of complex diseases, including nonalcoholic fatty liver disease (NAFLD), have demonstrated that a large number of variants are implicated in the susceptibility of multiple traits — a phenomenon known as pleiotropy that is increasingly being explored through phenome-wide association studies. We focused on the analysis of pleiotropy within variants associated with hematologic traits and NAFLD. We used information retrieved from large public National Health and Nutrition Examination Surveys, Genome-wide association studies, and phenome-wide association studies based on the general population and explored whether variants associated with NAFLD also present associations with blood cell-related traits. Next, we applied systems biology approaches to assess the potential biological connection/s between genes that predispose affected individuals to NAFLD and nonalcoholic steatohepatitis, and genes that modulate hematological-related traits—specifically platelet count. We reasoned that this analysis would allow the identification of potential molecular mediators that link NAFLD with platelets. Genes associated with platelet count are most highly expressed in the liver, followed by the pancreas, heart, and muscle. Conversely, genes associated with NAFLD presented high expression levels in the brain, lung, spleen, and colon. Functional mapping, gene prioritization, and functional analysis of the most significant loci (P < 1 × 10^-8) revealed that loci involved in the genetic modulation of platelet count presented significant enrichment in metabolic and energy balance pathways. In conclusion, variants in genes influencing NAFLD exhibit pleiotropic associations with hematologic traits, particularly platelet count. Likewise, significant enrichment of related genes with variants influencing platelet traits was noted in metabolic-related pathways. Hence, this approach yields novel mechanistic insights into NAFLD pathogenesis.

The association of cadmium and lead exposures with red cell distribution width

Elevated red blood cell distribution width (RDW), traditionally an indicator of anemia, has now been recognized as a risk marker for cardiovascular disease incidence and mortality. Experimental and acute exposure studies suggest that cadmium and lead individually affect red blood cell production; however, associations between environmental exposures and RDW have not been explored. We evaluated relationships of environmental cadmium and lead exposures to RDW. We used data from 24,607 participants aged ≥20 years in the National Health and Nutrition Examination Survey (2003-2016) with information on blood concentrations of cadmium and lead, RDW and socio-demographic factors. In models adjusted for age, sex, race/ethnicity, education, poverty income ratio, BMI, alcohol consumption, smoking status and serum cotinine, RDW was increasingly elevated across progressively higher quartiles of blood cadmium concentration. A doubling of cadmium concentration was associated with 0.16 higher RDW (95% CI: 0.14, 0.18) and a doubling of lead concentration with 0.04 higher RDW (95% CI: 0.01, 0.06). Also, higher cadmium and lead concentrations were associated with increased odds of high RDW (RDW>14.8%). The associations were more pronounced in women and those with low-to-normal mean corpuscular volume (MCV) and held even after controlling for iron, folate or vitamin B12 deficiencies. In analysis including both metals, cadmium remained associated with RDW, whereas the corresponding association for lead was substantially attenuated. In this general population sample, blood cadmium and lead exposures were positively associated with RDW. The associations may indicate hemolytic or erythropoietic mechanisms by which exposure increases mortality risk.

Comparing the Prognostic Value of Hematological Indices in Patients With ST Segment Elevation Myocardial Infarction: "A Head to Head" Analysis

Although there are reviews and meta-analyses focusing on hematological indices for risk prediction of mortality in patients with ST segment elevation myocardial infarction (STEMI), there are not enough data with respect to direct to head-to-head comparison of their predictive values. We aimed to investigate which hematological indices have the most discriminatory capability for prediction of in-hospital and long-term mortality in a large STEMI cohort. We analyzed the data of 1186 patients with STEMI. In-hospital and long-term all-cause mortality was defined as the primary end point of the study. In-hospital mortality rate was 8.6% and long-term mortality rate 9.0%. Although the neutrophil to lymphocyte ratio (NLR) and age were found to be independent predictors of in-hospital mortality in the multivariate regression analyses; Cox regression analysis revealed that age, ejection fraction, red cell distribution width (RDW), and monocyte to high-density lipoprotein ratio (MHDLr) were independently associated with long-term mortality. Neutrophil to lymphocyte ratio had the highest area under curve value in the receiver operating characteristic curve analyses for prediction of in-hospital mortality. In conclusion, while NLR may be used for prediction of in-hospital mortality, RDW and MHDLr ratio are better hematological indices for long-term mortality prediction after STEMI than other most common indices.

A Novel Mapping Strategy Utilizing Mouse Chromosome Substitution Strains Identifies Multiple Epistatic Interactions That Regulate Complex Traits

The genetic contribution of additive vs. non-additive (epistatic) effects in the regulation of complex traits is unclear. While genome-wide association studies typically ignore gene-gene interactions, in part because of the lack of statistical power for detecting them, mouse chromosome substitution strains (CSSs) represent an alternate approach for detecting epistasis given their limited allelic variation. Therefore, we utilized CSSs to identify and map both additive and epistatic loci that regulate a range of hematologic- and metabolism-related traits, as well as hepatic gene expression. Quantitative trait loci (QTL) were identified using a CSS-based backcross strategy involving the segregation of variants on the A/J-derived substituted chromosomes 4 and 6 on an otherwise C57BL/6J genetic background. In the liver transcriptomes of offspring from this cross, we identified and mapped additive QTL regulating the hepatic expression of 768 genes, and epistatic QTL pairs for 519 genes. Similarly, we identified additive QTL for fat pad weight, platelets, and the percentage of granulocytes in blood, as well as epistatic QTL pairs controlling the percentage of lymphocytes in blood and red cell distribution width. The variance attributed to the epistatic QTL pairs was approximately equal to that of the additive QTL; however, the SNPs in the epistatic QTL pairs that accounted for the largest variances were undetected in our single locus association analyses. These findings highlight the need to account for epistasis in association studies, and more broadly demonstrate the importance of identifying genetic interactions to understand the complete genetic architecture of complex traits.

Elevated red cell distribution width is associated with negative P wave amplitude in lead V1: national health and nutrition examination survey (NHANES III)

INTRODUCTION

Red cell distribution (RDW) is associated with atrial fibrillation (AF) incidence. However, its relationship with precursors of AF has not been established. We aim to investigate if association exists between RDW and negative P wave amplitude in V1, a marker of left atrial abnormality.

METHODS

NHANES III is a complex, multistage, clustered design survey of noninstitutionalized United States population between 1988-94. A Sample of 6403 individuals was extracted after excluding missing demographic, laboratory, anthropometric and ECG data and major ECG abnormalities. Variables were selected and univariate analysis was done first with a level of significance at P<0.01 (99% confidence). All the significant variables were included in a multivariate linear regression model.

RESULTS

53.58% of subjects were female. Racial distribution was caucasian 50.2%, hispanic 23.9% and african american 21.7%. Age, PR interval, heart rate, systolic blood pressure, red cell distribution width, glycated hemoglobin, serum cholesterol, serum ferritin, and body mass index showed a significant correlation with negative P wave amplitude in V1 (P<0.001). After including all these variables in a multivariate regression model, only age, body mass index, systolic blood pressure, PR interval, heart rate and red cell distribution width had a P≤0.001.

CONCLUSIONS

Increased RDW is independently associated with negative P wave amplitude in V1 after correcting for other cardiovascular risk factors. Further studies are required to analyze the reason for this correlation.

The Correlation Between RDW, MPV and Weight Indices After Metabolic Surgery in Patients with Obesity and DM/IGR: Follow-Up Observation at 12 Months

INTRODUCTION

Red blood cell distribution width (RDW) and mean platelet volume (MPV) are both new biomarkers for the prognosis of many diseases. This study aimed to observe the predictive values of RDW and MPV for weight loss after different metabolic surgeries in patients with obesity and abnormal glucose metabolism [diabetes mellitus or impaired glucose regulation (DM/IGR)].

METHODS

We retrospectively analyzed the body weight (BW), body mass index (BMI) and blood routine index of 98 patients with obesity and DM/IGR who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG).

RESULTS

Levels of RDW and MPV in both groups were significantly higher than before 1 month after surgery and then gradually decreased. Twelve months after surgery, the RDW level in the RYGB group was significantly lower than that before surgery. In the RYGB group, the RDW level of patients in the high-level percentage weight loss (%BW) (≥ 31.90) at 6 and 12 months after surgery decreased significantly compared to those in the corresponding low level. %BW and change in BW and BMI (ΔBW and ΔBMI) at 6 and 12 months after surgery in the high-level RDW (≥ 12.90) before surgery were significantly higher than those in the low level in the RYGB group. No significant difference in weight index was found in the high and low levels of the MPV before surgery in either group at other follow-up time points.

CONCLUSIONS

Preoperative baseline RDW and postoperative RDW levels can preliminarily predict the effect of different metabolic surgeries in patients with obesity and DM/IGR.

The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal

INTRODUCTION

A full blood count (FBC) blood test includes 20 components. We systematically reviewed studies that assessed the association of the FBC and diagnosis of colorectal cancer to identify components as risk factors. We reviewed FBC-based prediction models for colorectal cancer risk.

METHODS

MEDLINE, EMBASE, CINAHL, and Web of Science were searched until 3 September 2019. We meta-analysed the mean difference in FBC components between those with and without a diagnosis and critically appraised the development and validation of FBC-based prediction models.

RESULTS

We included 53 eligible articles. Three of four meta-analysed components showed an association with diagnosis. In the remaining 16 with insufficient data for meta-analysis, three were associated with colorectal cancer. Thirteen FBC-based models were developed. Model performance was commonly assessed using the c-statistic (range 0.72-0.91) and calibration plots. Some models appeared to work well for early detection but good performance may be driven by early events.

CONCLUSION

Red blood cells, haemoglobin, mean corpuscular volume, red blood cell distribution width, white blood cell count, and platelets are associated with diagnosis and could be used for referral. Existing FBC-based prediction models might not perform as well as expected and need further critical testing.

Longitudinal Analysis of Serum Cytokine Levels and Gut Microbial Abundance Links IL-17/IL-22 With Clostridia and Insulin Sensitivity in Humans

Recent studies using mouse models suggest that interaction between the gut microbiome and IL-17/IL-22-producing cells plays a role in the development of metabolic diseases. We investigated this relationship in humans using data from the prediabetes study of the Integrated Human Microbiome Project (iHMP). Specifically, we addressed the hypothesis that early in the onset of metabolic diseases there is a decline in serum levels of IL-17/IL-22, with concomitant changes in the gut microbiome. Clustering iHMP study participants on the basis of longitudinal IL-17/IL-22 profiles identified discrete groups. Individuals distinguished by low levels of IL-17/IL-22 were linked to established markers of metabolic disease, including insulin sensitivity. These individuals also displayed gut microbiome dysbiosis, characterized by decreased diversity, and IL-17/IL-22-related declines in the phylum Firmicutes, class Clostridia, and order Clostridiales This ancillary analysis of the iHMP data therefore supports a link between the gut microbiome, IL-17/IL-22, and the onset of metabolic diseases. This raises the possibility for novel, microbiome-related therapeutic targets that may effectively alleviate metabolic diseases in humans as they do in animal models.

Association between red cell distribution width level and risk of stroke: A systematic review and meta-analysis of prospective studies

BACKGROUND

Red cell distribution width level may have relations with the incidence and prognosis of cerebrovascular diseases. Recent researches have reported that red cell distribution width level was linked to the occurrence of stroke. However, the predicted effect of red cell distribution width in stroke is still disputed. We sought to assess the relationship between red cell distribution width and risk of stroke in this meta-analysis.

METHODS

Relevant studies were picked out from the databases of Embase, PubMed, and Cochrane Library. Hazard ratio with 95% confidence interval was chosen to analyze each trial, which was extracted from results of the highest and lowest red cell distribution width group. Funnel plots, Begg and Egger test were used to assess publication bias in the meta-analysis. Stata(12.0) was utilized to perform statistic analysis in the process.

RESULTS

A total of 6 studies with 5783 patients were included in this meta-analysis. The results showed that red cell distribution width level in patients with stroke was significantly higher than it in those without stroke (HR = 1.34, 95%CI:1.23-1.47, P < .001), in particular ischemic stroke(HR = 1.34,95% confidence interval:1.1-1.54, P < .001). There was no evidence of heterogeneity across the studies (P = .355, I = 5.53%).

CONCLUSIONS

The higher red cell distribution width level was associated with an increased risk of stroke, especially ischemic infarction.

Association between red blood cell distribution width and long-term mortality among patients undergoing percutaneous coronary intervention with previous history of cancer

Background: The number of patients suffering from coronary heart disease with cancer is rising. There is scarce evidence concerning the biomarkers related to prognosis among patients undergoing percutaneous coronary intervention (PCI) with cancer. Thus, the aim of this study was to investigate the association between red blood cell distribution width (RDW) and prognosis in this population.Methods: A total of 172 patients undergoing PCI with previous history of cancer were enrolled in this retrospective study. The endpoint was long-term all-cause mortality. According to tertiles of RDW, the patients were classified into three groups: Tertile 1 (RDW <12.8%), Tertile 2 (RDW ≥12.8% and <13.5%) and Tertile 3 (RDW ≥13.5%).Results: During an average follow-up period of 33.3 months, 29 deaths occurred. Compared with Tertile 3, mortality of Tertile 1 and Tertile 2 was significantly lower in the Kaplan-Meier analysis. In multivariate Cox regression analysis, RDW remained an independent risk factor of mortality (HR: 1.938, 95% CI: 1.295-2.655, p < 0.001). The all-cause mortality in Tertile 3 was significantly higher than that in Tertile 1 (HR: 5.766; 95% CI: 1.426-23.310, p = 0.014).Conclusions: An elevated RDW level (≥13.5%) was associated with long-term all-cause mortality among patients undergoing PCI with previous history of cancer.

High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation

By developing a high-density murine immunophenotyping platform compatible with high-throughput genetic screening, we have established profound contributions of genetics and structure to immune variation (http://www.immunophenotype.org). Specifically, high-throughput phenotyping of 530 unique mouse gene knockouts identified 140 monogenic 'hits', of which most had no previous immunologic association. Furthermore, hits were collectively enriched in genes for which humans show poor tolerance to loss of function. The immunophenotyping platform also exposed dense correlation networks linking immune parameters with each other and with specific physiologic traits. Such linkages limit freedom of movement for individual immune parameters, thereby imposing genetically regulated 'immunologic structures', the integrity of which was associated with immunocompetence. Hence, we provide an expanded genetic resource and structural perspective for understanding and monitoring immune variation in health and disease.

Red blood cell distribution width: A marker of anisocytosis potentially associated with atrial fibrillation

The incorporation of biomarkers in the actually used risk scores seem to be helpful for early identifying atrial fibrillation (AF) patients at higher risk. The aim of this critical review of the scientific literature is to investigate the potential clinical significance of red blood cell distribution width (RDW) in AF. A systematic electronic search was carried out to identify all articles describing an epidemiological association between RDW and AF in adult human populations. Data abstraction was conducted on a final number of 35 articles (13 cross-sectional, 12 prospective and 10 retrospective studies). The results of these epidemiological investigations were all virtually concordant to emphasize that an enhanced RDW value is not only a predictive factor and a marker of AF but its measurement may also be helpful for predicting the risk of developing many adverse complications in patients with AF, such as recurrence and duration of AF, hospitalization for heart failure, bleeding, left atrial thrombosis and stasis, thromboembolic events and mortality. AF patients with RDW values exceeding the local reference range may be more aggressively investigated and managed, in order to identify and attenuate the impact of possible underlying disorders causing both anisocytosis and AF.

Components of the full blood count as risk factors for colorectal cancer detection: a systematic review protocol

INTRODUCTION

Colorectal cancer is the fourth most common type of cancer and the second most common cause of cancer-related deaths in the UK. The full blood count (FBC) is a blood test that may play a role in early detection of the disease. Previous studies have aimed to identify how levels of individual components, such as haemoglobin, can be used to assist the diagnosis. We aim to systematically review studies to identify whether components of the FBC are risk factors for diagnosis of colorectal cancer, critically appraise the methods used to assess the association and assess performance of the components.

METHODS AND ANALYSIS

The MEDLINE (via OVID), EMBASE (via OVID), CINAHL (via EBSCOhost) and Web of Science databases will be searched to identify studies reporting the association between the levels of at least one FBC component and the risk of a future diagnosis of colorectal cancer in undiagnosed individuals. Clincialtrials.gov and the WHO registry will be searched to identify relevant ongoing research. Search terms will include relevant Medical Subject Headings and Emtree headings, and free-text terms relating to FBC, colorectal cancer and diagnosis. No date or language restrictions will be applied. Two reviewers will independently identify the studies for inclusion and perform data extraction. Time intervals between the blood tests and diagnosis will form the subgroups for analysis.

ETHICS AND DISSEMINATION

There is no direct patient involvement and only published articles will be reviewed; no ethical approval is required. Results from this review will set a foundation for intended future work on developing a new risk score for early detection of colorectal cancer, derived using FBC data. This systematic review will also provide guidance on the analysis of time to diagnosis. The model will be freely available to UK primary care practices.

PROSPERO REGISTRATION NUMBER

CRD42019134400.

Baseline Red Blood Cell Distribution Width as a Predictor of Stroke Occurrence and Outcome: A Comprehensive Meta-Analysis of 31 Studies

Background: Red blood cell distribution width (RDW) may be a potential biomarker of inflammation in patients with stroke. Elevated RDW is associated with higher incidence of stroke, unfavorable functional outcome, and increased mortality, although results are inconsistent in the reported literature. This study aims to evaluate the predictive power of RDW regarding stroke occurrence and outcome. Methods: A thorough literature search was conducted utilizing the PubMed Central (PMC) and EMBASE databases to identify studies up to May 2019. Data from these studies were pooled, and combined odds ratios/risk ratios (ORs/RRs) were estimated for the risk of stroke, functional outcome, and mortality. A subgroup analysis was also performed to explore heterogeneity in terms of population status, demographic factors (age, gender distribution, and country), and vascular risk factors (hypertension, diabetes mellitus, and current smoking). Results: A total of 31 studies with 3,487,896 patients were included in the analysis. Elevated RDW was found to be a risk factor in ischemic stroke (OR/RR 1.528; 95% confidence interval [CI] = 1.372-1.703), whereas combined OR in subarachnoid hemorrhage (SAH) was not statistically significant (OR/RR 1.835; 95% CI = 0.888-3.792). Elevated RDW posed increased risk in populations with conventionally higher risk of stroke, such as atrial fibrillation (AF) (OR/RR 1.292; 95% CI = 1.107-1.508) and diabetes mellitus (OR/RR 2.101; 95% CI = 1.488-2.968), and in community cohorts (OR/RR 1.245; 95% CI = 1.216-1.275). In addition, higher RDW was associated with unfavorable functional outcome, either at discharge (OR/RR 1.220; 95% CI = 1.070-1.39) or at 90 days (OR/RR 1.277; 95% CI = 1.155-1.413). Higher mortality was found in patients with increased RDW (OR/RR 1.278; 95% CI = 1.221-1.337), independent of demographic factors (age, gender distribution, and country). Conclusions: Baseline RDW should be integrated into clinical practice as a predictor of ischemic stroke occurrence and outcome. Future studies should also explore the dynamic change of RDW in post-stroke patients to evaluate the clinical significance of RDW and its impact on the inflammatory state of ischemic stroke.

Usefulness of Red Cells Distribution Width to Predict Worse Outcomes in Patients With Atrial Fibrillation

Red cells distribution width (RDW) is a measure of red cell size variability, but little is known about the relation between RDW and outcomes in atrial fibrillation (AF).The aims of our study were to evaluate the association between RDW values, AF patients' profile and outcomes. Consecutive patients with ECG-confirmed AF were divided in 3 groups according to tertiles of RDW values (≤13.5%, 13.6% to 14.6%, >14.6%).We enrolled 457 patients, 61.9% males, median (interquartile range) age 74 (66 to 80). Both CHA₂DS₂-VASc and HAS-BLED scores increased progressively according to RDW tertiles. During follow-up, there was an increased risk for all-cause death and the composite end point in the highest RDW tertile (p <0.001 for both outcomes). On multivariate Cox regression analysis, the highest RDW tertile was independently associated with all-cause death (hazard ratio [HR] 3.23, 95% confidence interval [CI] 1.04 to 10.00) and the composite end point (HR 2.04, 95% CI 1.12 to 3.70). RDW as a continuous variable was also independently associated with all cause death and the composite outcome (HR 1.16, 95% CI 1.02 to 1.31 and HR 1.16, 95% CI 1.05 to 1.27, respectively). In conclusion, in a real-life AF population, RDW is associated with clinical factors indicating a worse profile and is independently associated with increased risks of all-cause death and other clinical events.