Red cell distribution width and neurological scoring systems in acute stroke patients

The Radio of RDW/ALB: A Cost-Effective Biomarker for Early-Stage Risk Stratification in Acute Ischemic Stroke

Background and Aims

The red blood cell distribution width (RDW) to albumin (ALB) ratio (RAR) has been identified as a prognostic indicator for mortality in critically ill patients across various diseases. Nevertheless, the impact of RAR on clinical functional prognosis in Acute ischemic stroke (AIS) remains uncertain. This study aimed to evaluate the prognostic significance of RAR in AIS patients.

Methods

A secondary analysis was performed on a cohort study, involving 1906 AIS patients recruited from a South Korean academic hospital. Both univariate and multivariate logistic regression was employed to assess the connections between RAR and negative functional results in AIS. To explore potential non-linear relationships in this association, a generalized additive model (GAM) and smooth curve fitting were utilized. Further, a mediation analysis was performed to identify possible mediators.

Results

Out of the 1906 eligible patients, 546 (28.65%) were found to have an unfavorable prognosis. Patients with elevated RAR had a higher likelihood of facing a negative prognosis in AIS (all P<0.001). RAR demonstrated a dose-response relationship with the probability of poor functional prognosis. When analysis of RAR as a continuous variable, an increase in RAR was correlated with a higher risk of adverse prognosis.When RAR was analyzed as quartile variables, the highest RAR remained an independent contributing factor for both 3-month unfavorable outcomes (adjusted OR, 1.4; 95% CI: 1.0-2.1, P=0.046) and 3-month mortality (adjusted OR, 5.2; 95% CI, 2.0-13.9; p<0.001). More interestingly, the presence of a pro-inflammatory state may serve as a mediator in the connections between RAR and adverse functional outcomes.

Conclusion

Given its cost-effectiveness and ease of measurement, baseline RAR holds promise as a valuable biomarker for early risk assessment in AIS patients.

High red blood cell distribution width attenuates the effectiveness of Immune checkpoint inhibitor therapy: An exploratory study using a clinical data warehouse

BACKGROUND

Immune checkpoint inhibitors (ICIs) have improved outcomes in cancer treatment but are also associated with adverse events and financial burdens. Identifying accurate biomarkers is crucial for determining which patients are likely to benefit from ICIs. Current markers, such as PD-L1 expression and tumor mutation burden, exhibit limited predictive accuracy. This study utilizes a Clinical Data Warehouse (CDW) to explore the prognostic significance of novel blood-based factors, such as the neutrophil-to-lymphocyte ratio and red cell distribution width (RDW), to enhance the prediction of ICI therapy benefit.

METHODS

This retrospective study utilized an exploratory cohort from the CDW that included a variety of cancers to explore factors associated with pembrolizumab treatment duration, validated in a non-small cell lung cancer (NSCLC) patient cohort from electronic medical records (EMR) and CDW. The CDW contained anonymized data on demographics, diagnoses, medications, and tests for cancer patients treated with ICIs between 2017-2022. Logistic regression identified factors predicting ≤2 or ≥5 pembrolizumab doses as proxies for progression-free survival (PFS), and Receiver Operating Characteristic analysis was used to examine their predictive ability. These factors were validated by correlating doses with PFS in the EMR cohort and re-testing their significance in the CDW cohort with other ICIs. This dual approach utilized the CDW for discovery and EMR/CDW cohorts for validating prognostic biomarkers before ICI treatment.

RESULTS

A total of 609 cases (428 in the exploratory cohort and 181 in the validation cohort) from CDW and 44 cases from EMR were selected for study. CDW analysis revealed that elevated red cell distribution width (RDW) correlated with receiving ≤2 pembrolizumab doses (p = 0.0008), with an AUC of 0.60 for predicting treatment duration. RDW's correlation with PFS (r = 0.80, p<0.0001) and its weak association with RDW (r = -0.30, p = 0.049) were confirmed in the EMR cohort. RDW also remained significant in predicting short treatment duration across various ICIs (p = 0.0081). This dual methodology verified pretreatment RDW elevation as a prognostic biomarker for shortened ICI therapy.

CONCLUSION

This study suggests the utility of CDWs in identifying prognostic biomarkers for ICI therapy in cancer treatment. Elevated RDW before treatment initiation emerged as a potential biomarker of shorter therapy duration.

The role of TLC, RDW, and ESR in predicting short-term prognosis among admitted patients with acute ischemic stroke: Insights from a cross-sectional study

Background

Stroke is the third most common cause of disability and the second most common cause of death worldwide. Prognosis assessment in acute ischemic stroke is challenging for clinicians. The development of simple and easily performed prognostic markers that correlate with the outcome of patients can be of immense benefit. The aim of this study was to find out the prognostic significance of total leukocyte count, red cell distribution width and erythrocyte sedimentation rate in patients with acute ischemic stroke.

Methods

A descriptive cross-sectional study was conducted in a tertiary center after ethical approval from the Institutional Review Committee. The study period spanned from April 18, 2022 to June 17, 2023, a period of 14 months. 136 patients diagnosed with acute ischemic stroke with total leukocyte count (TLC), red cell distribution width (RDW), erythrocyte sedimentation rate (ESR), National Institutes of Health Stroke Scale (NIHSS), and modified Rankin Scale (mRS) were included in the study after fulfilling the inclusion criteria. The modified Rankin Scale (mRS) was obtained 28 days following admission. Data was collected and analyzed through Microsoft Excel 365 and SPSS version 22. Spearman Correlation and multivariate regression analysis were used to analyze the association.

Results

TLC, RDW, and ESR were significantly associated with an mRS at 28 days showing a positive correlation between them. Total in-hospital mortality has been significantly associated with TLC only (p < 0.05).

Conclusions

The prognostic value of TLC, RDW, and ESR in patients with acute ischemic stroke was found to be significant and similar to the studies done in similar settings.

Association of red blood cell distribution width to albumin ratio with prognosis in stroke patients

Aim: The authors investigated the association of red blood cell distribution width to albumin ratio (RAR) with prognosis and severity in acute ischemic stroke (AIS). Methods: One hundred twenty-seven patients with AIS were prospectively analyzed. The NIH Stroke Scale was used to determine stroke severity. RAR was compared between severe and nonsevere patients. Results: RAR was significantly higher in severe compared with nonsevere patients (p < 0.001). According to receiver operating characteristic analysis, RAR alone predicted mortality better than red blood cell distribution width and albumin (area under the curve: 0.933, 0.911, 0.870, respectively). Additionally, RAR was significantly correlated with NIH Stroke Scale score (p < 0.001). Conclusion: High RAR measured at presentation is a feasible index for prognosis and severity stratification in AIS.

Red blood cell distribution width as a predictor of mortality and poor functional outcome after acute ischemic stroke: a meta-analysis and meta-regression

BACKGROUND

This study aimed to review evidence on the ability of red cell distribution width (RDW) to predict mortality and poor functional outcomes after acute ischemic stroke (AIS).

METHODS

Databases of PubMed, CENTRAL, Scopus, Embase, and Web of Science were searched online from inception to 25th Jul 2023 for all studies reporting the association between RDW and outcomes as adjusted ratios. A random-effects meta-analysis was done. Meta-regression was conducted using multiple moderators.

RESULTS

15 studies with 14,968 patients were included. Meta-analysis found that RDW, both as a categorical variable (OR: 2.10 95% CI: 1.74, 2.55 I2 = 42%) and continuous variable OR: 1.16 95% CI: 1.05, 1.28 I2 = 64%) was a significant predictor of mortality after AIS. Age and number of hypertensives were found to be significant moderators in the meta-regression. Also, high RDW, as a categorical variable (OR: 1.68 95% CI: 1.20, 2.35 I2 = 84%), was associated with significantly higher odds of poor functional outcomes after AIS, but not as a continuous variable (OR: 1.07 95% CI: 0.99, 1.16 I2 = 61%). Meta-regression showed that the association was stronger in small sample-sized studies.

CONCLUSION

RDW can be a useful, readily available, and cost-effective biomarker to rapidly stratify AIS patients at risk of poor outcomes. High RDW was consistently associated with an increased risk of mortality after AIS, however, its ability to predict poor functional outcomes needs to be verified by further studies.

A Study to Estimate the Red Cell Width Distribution and the Mean Platelet Volume in Predicting the 30-Day Mortality in Acute Ischemic Stroke Patients

Background Acute ischemic stroke, a clinical disorder caused by nontraumatic cerebrovascular disease, has an acute onset, frequently causes neurological deficit, and may persist for >24 hours or can be fatal in <24 hours. This study aimed to assess the red cell width distribution (RDW) and the mean platelet volume (MPV) in predicting 30-day mortality in acute ischemic stroke patients. In general, patients with acute ischemic stroke have a rather high mortality rate in the first 30 days due to various complications, but post the 30-day mark, the prognosis is comparatively better. Material and methods The present study was conducted on patients with a confirmed diagnosis of acute ischemic stroke based on history, physical examination, CT scan, and/or diffusion-weighted MRI scan performed during the first 24 hours. It was a prospective and cross-sectional study done at Saveetha Medical College over a period of two years. The data was collected by using the intra-hospital network and was analyzed using the IBM SPSS Statistics for Windows, Version 20 (Released 2011; IBM Corp., Armonk, New York, United States). Results In the present study, among 100 patients, the mean age was 57.4 ± 13.36 years. About 55% of our subjects were males in our study. The RDW on the 1stday was 14.17 ± 0.708, and it reduced drastically on the 30thday to1st 13.55 ± 1.11, and it was statically significant (p = 0.000). The MPV on day 1 was 11.11 ± 0.969 and, on day 30, was 10.82 ± 0.90; the MPV was reduced considerably on day 30, which was statistically significant (p = 0.000). RDW on the 1st day was significantly correlated with the MPV and the volume of stroke. The correlation was significant at the 0.01 level (two-tailed). On the 30th day of acute ischemic stroke patients, the red blood cell (RBC) width was significantly correlated with the MPV. The correlation was significant at the 0.01 level (two-tailed). At the end of 30 days, 10% mortality was observed in the present study. Day 30 saw a significant decrease in the MPV and RDW, particularly in the moderate to severe and severe categories. The National Institutes of Health Stroke Scale (NIHSS) score and the volume of stroke were significantly associated with the 30-day outcome.  Conclusion The RDW and the MPV are well correlated in predicting the 30-day mortality in acute ischemic stroke patients. This could potentially be used as a significant marker for predicting mortality in stroke patients in the future, but to increase the generalization, further studies need to be carried out at other demographically distinct medical centers.

Factors Associated with Overt Stroke in Children and Adolescents with Sickle Cell Disease: A Retrospective Cohort Study

Sickle cell disease (SCD) is associated with a high occurrence of complications due to vaso-occlusive phenomenon such as stroke. This retrospective cohort study aimed to examine the clinical and laboratory characteristics of 120 children and adolescents with SCD and analyze the factors associated with overt stroke incidence. All relevant data were obtained from patient medical records. Survival analysis was used to compare the demographic, clinical, and laboratory characteristics between patients with and those without overt stroke. The patients were 52.5% female with a mean (SD) age of 11.2 (4.3) years. The incidence of overt stroke in this cohort was nine out of 956.7 patient-years, resulting in an incidence density of 0.94 cases/100 patient-years. Reports of greater than or equal to two previous attacks of dactylitis and greater than or equal to three episodes of acute chest syndrome (ACS)/pneumonia were associated with overt stroke and an increase in reticulocyte count and red blood cell distribution width (RDW). In conclusion, a history of a high number of dactylitis, ACS/pneumonia, increased RDW, and reticulocytosis was associated with overt stroke occurrence in children and adolescents with SCD. Future studies with a higher stroke incidence in the evaluated sample are necessary to confirm this hypothesis.

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

Background

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

Methods

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

Results

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

Conclusions

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

Development and verification of a nomogram for predicting short-term mortality in elderly ischemic stroke populations

Stroke is a major healthcare problem worldwide, particularly in the elderly population. Despite limited research on the development of prediction models for mortality in elderly individuals with ischemic stroke, our study aimed to address this knowledge gap. By leveraging data from the Medical Information Mart for Intensive Care IV database, we collected comprehensive raw data pertaining to elderly patients diagnosed with ischemic stroke. Through meticulous screening of clinical variables associated with 28-day mortality, we successfully established a robust nomogram. To assess the performance and clinical utility of our nomogram, various statistical analyses were conducted, including the concordance index, integrated discrimination improvement (IDI), net reclassification index (NRI), calibration curves and decision curve analysis (DCA). Our study comprised a total of 1259 individuals, who were further divided into training (n = 894) and validation (n = 365) cohorts. By identifying several common clinical features, we developed a nomogram that exhibited a concordance index of 0.809 in the training dataset. Notably, our findings demonstrated positive improvements in predictive performance through the IDI and NRI analyses in both cohorts. Furthermore, calibration curves indicated favorable agreement between the predicted and actual incidence of mortality (P > 0.05). DCA curves highlighted the substantial net clinical benefit of our nomogram compared to existing scoring systems used in routine clinical practice. In conclusion, our study successfully constructed and validated a prognostic nomogram, which enables accurate short-term mortality prediction in elderly individuals with ischemic stroke.

The Role of the Multi-Inflammatory Index as a Novel Predictor of Hospital Mortality in Acute Ischemic Stroke

Background and objective Ischemic strokes account for the majority of all strokes. The severity of an acute ischemic stroke (AIS) can be estimated with the help of a number of different scoring systems. However, there is a need for bedside tests that will support the clinical diagnosis and thus help predict the severity of stroke. The research on the multi-inflammatory index (MII), which is calculated using hemogram parameters, has shown immense promise. In light of this, the aim of this study was to establish the association between MII and the severity of AIS. Methods The study included 452 ischemic stroke patients over the age of 18 years who presented to the hospital within 72 hours of the onset of symptoms. Demographic information such as patient age and gender, hemogram parameters, ratios, indices, hospitalization, and mortality status were all recorded. The demographic data, hemogram parameters, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and C-reactive protein (CRP)/lymphocyte ratio (CLR), and MII 1, 2, and 3 were compared between surviving and deceased patients. Results The MII-1, MII-2, and MII-3 index values were determined to be significantly low in the patients with Glasgow Coma Scale (GCS) scores of 13-15 compared to those with GCS scores ≤8, and in patients with National Institutes of Health Stroke Scale (NIHSS) score of 1-4 compared to those with scores of 5-14, 15-20, and ≥21. The NLR, CLR, PLR, MII-1, MII-2, and MII-3 index values were significantly higher in the non-survivors (PLR: p=0.004, all other values: p<0.001). The performances of multiple models developed for the mortality cut-off points were evaluated. Together with other factors, Model 1 included the MII-1, Model 2 the MII-2, and Model 3 the MII-3. Although there was no significant difference between the AUC values of the models, the highest sensitivity rate was reached with Model 2 (74.48%), and the highest specificity rate with Model 3 (90.62%). Conclusion Based on our findings, MII is a simple and practical biomarker that can be easily obtained from NLR, PLR, and CRP, and can help in the early detection of poor prognosis in AIS. NLR was found to be superior to PLR and CLR in distinguishing fatal AIS cases.

Association between red cell distribution width-to-platelet ratio and short-term and long-term mortality risk in patients with acute ischemic stroke

BACKGROUND

The objective of this study was to evaluate the association between red cell distribution width/platelet ratio (RPR) and 30-day and 1-year mortality in acute ischemic stroke (AIS).

METHODS

Data for the retrospective cohort study were collected from the Medical Information Mart for Intensive Care (MIMIC) III database. RPR was divided into two groups: RPR ≤ 0.11 and RPR > 0.11. The study outcomes were 30-day mortality and 1-year mortality from AIS. Cox proportional hazard models were utilized to assess the association between RPR and mortality. Subgroup analyses were applied based on age, tissue-type plasminogen activator (IV-tPA), endovascular treatment, and myocardial infarction.

RESULTS

A total of 1,358 patients were included in the study. Short- and long-term mortality occurred in 375 (27.61%) and 560 (41.24%) AIS patients, respectively. A high RPR was significantly associated with increased 30-day [hazard ratio (HR): 1.45, 95% confidence interval (CI): 1.10 to 1.92, P = 0.009] and 1-year mortality (HR: 1.54, 95%CI: 1.23 to 1.93, P < 0.001) in AIS patients. Meanwhile, RPR was found to be significantly related to 30-day mortality in AIS patients aged < 65 years (HR: 2.19, 95% CI: 1.17 to 4.10, P = 0.014), without IV-tPA use (HR: 1.42, 95% CI: 1.05 to 1.90, P = 0.021), without using endovascular treatment (HR: 1.45, 95% CI: 1.08 to 1.94, P = 0.012), and without myocardial infarction (HR: 1.54, 95% CI: 1.13 to 2.10, P = 0.006). Additionally, RPR was associated with 1-year mortality in AIS patients aged < 65 years (HR: 2.54, 95% CI: 1.56 to 4.14, P < 0.001), aged ≥ 65 years (HR: 1.38, 95% CI: 1.06 to 1.19, P = 0.015), with (HR: 1.46, 95% CI: 1.15 to 1.85, P = 0.002) and without using IV-tPA (HR: 2.30, 95% CI: 1.03 to 5.11, P = 0.041), without using endovascular treatment (HR: 1.56, 95% CI: 1.23 to 1.96, P < 0.001), and without myocardial infarction (HR: 1.68, 95% CI: 1.31 to 2.15, P < 0.001).

CONCLUSION

Elevated RPR is associated with a high risk of short-term and long-term mortality in AIS.

Association between red blood cell distribution width and ischemic stroke recurrence in patients with acute ischemic stroke: a 10-years retrospective cohort analysis

Numerous studies have reported that a higher red blood cell distribution width (RDW) level was associated with adverse outcomes in patients with the first stroke. However, no studies have examined the association between RDW and recurrent ischemic stroke. We performed a population-based cohort data analysis from 2007 to 2017. Baseline RDW was measured in 6402 first ischemic stroke participants, who were followed for about five years on average. During 62 months of median follow-up, 205 participants (3.20%) reported a recurrence (self-reported). RDW showed a nonlinear relationship with the risk of ischemic stroke recurrence. When RDW was assessed as quartiles (quartile 1, RDW<12.4; quartile 2, 12.4 to 12.8; quartile 3,12.8 to 13.3, quartile4, RDW>13.3), compared with the reference group (quartile 1), the hazard ratios (HRs) of ischemic stroke recurrence were 1.372 (95% confidence interval [CI]=0.671-2.805, P=0.386) in quartile 2, 1.835 (95% CI=1.222-2.755, P=0.003) in quartile 3, and 1.732 (95% CI=1.114-2.561, P<0.001) in quartile 4. The trend test was significant (P<0.001). When quartiles 3 and 4 were combined, the adjusted HR of ischemic stroke recurrence was 1.439 (95% CI=1.330-1.556, P<0.001) compared with the combined quartiles 1 and 2 subgroups. This study demonstrated that elevated RDW levels were positively associated with an increased risk of recurrent ischemic stroke. RDW can provide a new perspective for initial risk assessment and identify high-risk patients early. Further research is required to confirm our results.

Red blood cell distribution width as a novel marker for predicting bleeding after endoscopic resection for early gastric cancer

Objectives

Endoscopic resection (ER) is a minimally invasive treatment for early gastric cancer (EGC); however, there is a high occurrence of bleeding. This study aimed to clarify the significance of red blood cell distribution width (RDW) as a predictive risk factor for bleeding after ER for EGC.

Methods

We conducted a retrospective study based on data for patients who underwent ER for EGC from 2019 to 2021. This study included 79 lesions in 54 patients who underwent ER for EGC. The primary outcome was the association between RDW before ER and bleeding within 28 days of treatment. Receiver operating characteristic (ROC) curves were constructed, wherein areas under the curve (AUCs) and 95% confidence intervals were calculated to compare the discriminatory power of RDW for predicting bleeding.

Results

Endoscopic submucosal dissection was used as the resection method for 73 lesions, whereas endoscopic mucosal resection was used for six lesions. En bloc resection was performed in all cases. There were no cases of perforation; however, bleeding after ER occurred in five cases (9.3%). ROC curve analysis of bleeding after ER showed that the AUC was 0.843 with a good diagnostic performance. When the cut-off value of RDW was set at 14.4%, sensitivity and specificity were 80% and 85.7%, respectively. There was a bleeding rate of 36.4% (4/11) at an RDW of ≥14.4%, which was significantly higher than that of 2.3% (1/43) at an RDW of <14.4%.

Conclusion

RDW can be a predictor of bleeding risk after ER for EGC.

RDW-to-ALB Ratio Is an Independent Predictor for 30-Day All-Cause Mortality in Patients with Acute Ischemic Stroke: A Retrospective Analysis from the MIMIC-IV Database

Purpose

Previous studies have shown that the peripheral red blood cell distribution width (RDW) and human serum albumin (ALB) were both predictors of the risk and mortality of cerebrovascular diseases, and the ratio of RDW to ALB (RAR) was a combined new index that can predict the prognosis of the cardiovascular and respiration systemic diseases, but its role in cerebrovascular diseases had not been effectively evaluated. This study is aimed at exploring whether RAR can effectively predict the 30-day all-cause mortality of acute ischemic stroke (AIS) patients.

Methods

This retrospective cohort study was conducted on AIS patients (age > 18 years) in the intensive care database MIMIC-IV. The RAR was measured based on the red blood cell distribution width and albumin. The main result was 30-day all-cause mortality, and the secondary results were ICU mortality and hospital mortality. Obtain the odds ratio (OR) estimate from the logistic regression model of log-transformed RAR values and mortality. We had used another database for external validation.

Results

A total of 1412 patients were enrolled, with an average age of 68.8 ± 15.9, including 708 (50.1%) males. When log-transformed RAR values were used as a continuous variable, as the values increases, the risk of death increases (30-day all-cause mortality OR = 4.02 (2.21, 7.32) P < 0.0001, ICU mortality OR = 3.81 (1.92, 7.54) P = 0.0001, and hospital mortality OR = 3.31 (1.83, 6.00) P < 0.0001), when the values were used as three-category variables and as a trend variable was also positively correlated with each mortality rate. Especially as the categorical variables, a dose-response relationship was clearly observed, that was, as the category of RAR increased (Q1 to Q3), the HR value of the risk of death gradually steadily increased. Such a relationship can also be observed in the external validation database. In the subgroup analysis, we observed an increased risk of death in the patient with hyperlipidemia and low HAS-BLED scores; however, no significant interaction was found in other subgroup analyses (including the diagnostic sequence of AIS).

Conclusion

RAR was a predictor of mortality in AIS patients. However, more in-depth research is needed to further analyze and confirm the role of RAR in AIS patients.

Red cell distribution width is associated with stroke severity and unfavorable functional outcomes in ischemic stroke

Background

Red blood cell distribution width (RDW) is considered to be related to coronary heart disease and heart failure and all-cause mortality, but its relationship with acute ischemic stroke is still unclear. In this study, we aimed to explore the relationship between RDW and the stroke severity and functional outcomes of ischemic stroke.

Methods

We retrospectively reviewed patients with acute ischemic stroke between September 2016 and January 2020. Demographic, clinical, stroke complications, laboratory data, and treatment were collected for all patients. Stroke severity and functional outcomes were evaluated by NIHSS score, modified Rankin Scale (mRS), and Barthel Index (BI) at 3 months. Furthermore, multiple logistic regression analysis was used to assess the relationship between RDW and stroke severity and functional outcomes.

Results

A total of 629 patients with acute ischemic stroke were included and were categorized into four groups according to the quartiles of RDW (&lt; 12.4, 12.4–12.9, 13.0–13.4, &gt; 13.4). After multivariable analysis, higher RDW was directly associated with moderate to severe stroke (OR 2.21, 95% CI, 1.30–3.75, P = 0.003), mRS score of 3–6 at 3 months (OR 1.86, 95% CI, 1.02–3.41, P = 0.044), and BI score below 85 at 3 months (OR 2.27, 95% CI, 1.25–4.12, P = 0.007) in patients with ischemic stroke.

Conclusion

Our results demonstrate that RDW is associated with stroke severity and unfavorable functional outcomes at 3 months in patients with ischemic stroke.

Complete Blood Count Parameters as Prognostic Factor of Stroke: A Systematic Review

Introduction

Stroke is known as a common cause of disability all over the world. Stroke prognosis estimation has always been a topic of interest. In this study, it was tried to investigate the prognostic value of laboratory findings of complete blood count in a systematic review.

Methods

In this systematic review, literature from Medline via (PubMed, Ovid) Embase, Scopus, Cochrane Library, and ProQuest between 1988 and 2020 were included. A combination of Mesh and free terms were included in the search strategy: "Stroke", "Red Cell Distribution Width", "Blood Cell Count", "Mean corpuscular hemoglobin", and "Mean Corpuscular Volume" and with the abbreviation, in all fields. Data synthesis was achieved using content analysis.

Results

Elevated red blood cell distribution width was associated with stroke, cardiovascular events, and all-cause deaths among patients with prior stroke. Mean platelet volume has not any prognostic significance in ischemic stroke. There was a poor association between mean corpuscular volume (MCV) and stroke prognosis. Globulin and hemoglobin level predicted short-term mortality following acute ischemic stroke.

Conclusion

Complete blood count as a routine and efficient test performed in health care centers can be used to estimate the prognosis of stroke.

The difference in red blood cell distribution width from before to after thrombolysis as a prognostic factor in acute ischemic stroke patients: A 2-year follow-up

Purpose

The aim of our study was to determine whether delta red blood cell distribution (ΔRDW) improves neurological outcomes in acute ischemic stroke (AIS) patients 2 years after intravenous thrombolysis (IVT) therapy.

Methods

AIS patients who received IVT between January 2013 and December 2019 were retrospectively analyzed. In accordance with their mRS scores, the patients were divided into two groups. A binary logistic regression analysis was conducted to determine the influencing factors of adverse functional outcomes. It was decided to evaluate the variables' the predictive ability by using the area under the receiver operating characteristic. For the poor neurological recovery risk model, features were selected using the LASSO regression model. We also developed a predictive model based on logistic regression analysis, which combined the features selected in the minimum absolute contraction and selection operator regression models. An evaluation of the discrimination, calibration, and clinical applicability of the predictive model was conducted using the C index, calibration chart, and decision curve analysis. Internal validation was evaluated via bootstrapping.

Results

Binary logistic regression analysis showed that ΔRDW was an independent influencing factor for poor neurofunctional outcomes. The most appropriate ΔRDW cut-off value for predicting the recovery of poor neurological outcomes was 18.9% (sensitivity: 89.9%, specificity: 78.6%, p < 0.001). The predictive factors included in the nomogram were age, the occurrence of CHD, stroke, AF, ΔRDW, NIHSS score at onset, interval time from onset to IVT, and whether there were indwelling urine catheters and gastric tubes. The model has not only a good discrimination ability, which was indicated by an overall C index of 0.891 (95% confidence interval: 0.829–0.953), but also a considerable calibration ability. Decision curve analysis showed that the nomogram of adverse neurological outcomes recovery was useful in the clinical practice when intervention was implemented above the threshold of 1% possibility of adverse neurological outcomes recovery.

Conclusion

In patients with AIS after thrombolysis, the ΔRDW is a potential influencing factor that can be readily used to predict the likelihood of poor neurological function recovery.

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.

Red blood cell distribution width in different time-points of peripheral thrombolysis period in acute ischemic stroke is associated with prognosis

The relationship between red blood cell distribution width (RDW) in peripheral thrombolysis period and prognosis is not fully clarified in those who underwent intravenous thrombolysis (IVT) for acute ischemic stroke (AIS). Our study aimed to clarify this issue. A retrospective analysis of about 510 consecutive thrombolysis cases for AIS from January 2015 to March 2019 in a single-center database was done and followed-up for 3 months. We used univariate and multivariable models to evaluate the relationship between RDW levels at various time-points after IVT and the occurrence risk of hemorrhagic transformation (HT) and recurrent stroke, and used COX regression to assess the hazard ratios of outcomes with RDW levels. Elevated risk of HT was found in higher tertiles of RDW (OR = 10.282, 95% confidence interval (CI) 2.841–39.209, P < 0.001 in Tp tertile G3; OR = 5.650, 95% CI 1.992–16.025, P = 0.001 in T24 tertile G3; OR = 4.308, 95% CI 1.480–12.542, P = 0.007 in T48 tertile G3 and OR = 6.384, 95% CI 2.201–18.515, P = 0.001 in T72 tertile G3, respectively). Occurrence of recurrent stroke was highest in the RDW tertile G3 (HR = 4.580, 95% CI 2.123–9.883, P < 0.001 in Tp tertile G3; HR = 5.731, 95% CI 2.498–13.151, P = 0.001 in T24 tertile G3; HR = 3.019, 95% CI 1.969–4.059, P = 0.031 in T48 tertile G3; HR = 3.318, 95% CI 1.598–6.890, P = 0.001 in T72 tertile G3, respectively). Mean RDW levels ≥13.60 among AIS patients undergoing thrombolysis was associated with higher risk of HT and recurrent stroke.

Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts

Background

The development of tools that could help emergency department clinicians recognize stroke during triage could reduce treatment delays and improve patient outcomes. Growing evidence suggests that stroke is associated with several changes in circulating cell counts. The aim of this study was to determine whether machine-learning can be used to identify stroke in the emergency department using data available from a routine complete blood count with differential.

Methods

Red blood cell, platelet, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts were assessed in admission blood samples collected from 160 stroke patients and 116 stroke mimics recruited from three geographically distinct clinical sites, and an ensemble artificial neural network model was developed and tested for its ability to discriminate between groups.

Results

Several modest but statistically significant differences were observed in cell counts between stroke patients and stroke mimics. The counts of no single cell population alone were adequate to discriminate between groups with high levels of accuracy; however, combined classification using the neural network model resulted in a dramatic and statistically significant improvement in diagnostic performance according to receiver-operating characteristic analysis. Furthermore, the neural network model displayed superior performance as a triage decision making tool compared to symptom-based tools such as the Cincinnati Prehospital Stroke Scale (CPSS) and the National Institutes of Health Stroke Scale (NIHSS) when assessed using decision curve analysis.

Conclusions

Our results suggest that algorithmic analysis of commonly collected hematology data using machine-learning could potentially be used to help emergency department clinicians make better-informed triage decisions in situations where advanced imaging techniques or neurological expertise are not immediately available, or even to electronically flag patients in which stroke should be considered as a diagnosis as part of an automated stroke alert system.

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study

BACKGROUND

Red cell distribution width (RDW) is a parameter that indsicates the heterogeneity of red blood cell size and could be a prognostic factor in some diseases. Also, intracerebral hemorrhage (ICH) is considered a vascular event with a high mortality rate. We aimed to examine the role of RDW, neutrophil to lymphocyte ratio (NLR), and neutrophil to platelet ratio (NPR) in predicting the prognosis of patients with ICH.

METHODS

This is a retrospective cohort study conducted on 140 patients with ICH admitted to the neurology ward and intensive care unit (ICU) in Imam Reza Hospital, Tabriz, Iran. Demographic data, National Institutes of Health Stroke Scale (NIHSS), and complete blood count test parameters were evaluated within 24 h after hospitalization. These variables were collected and re-evaluated three months later.

RESULTS

The mean age of the study population was 61.14 (± 16) years and 51% were male. The mean NLR (p = 0.05), neutrophil count (p=0.04), platelet count (p = 0.05), and NIHSS (p<0.01)  had a significant difference between the deceased patients and those who partially recovered after three months. The ROC curve showed that NIHSS (area under curve (AUC): 0.902), followed by NPR (AUC: 0.682) variables had the highest AUC.

CONCLUSION

RDW could be a relevant prognostic factor and predictor in determining 3-months survival in ICH. Nevertheless, further large-scale prospective cohorts might be needed to evaluate the associations.

Bio-clinical evaluation of collateral score in acute middle cerebral artery occlusion

BACKGROUND

Acute ischemic stroke (AIS) is characterized as a neurological deficit owing to an acute focal damage to the brain by cerebral infarction. A collateral score is the most significant factor evaluating the prognosis of AIS, its relationship with demographic data, serum biochemical parameters, and clinical disability in this field.

METHODS

We conducted a single-center retrospective study with 100 patients with AIS within the first 6 h of ischemic stroke. Data for consecutive AIS patients were collected from February 2019 to May 2020. The collateral score was assessed by using developed scoring systems defined by Maas et al. The correlations between collateral score and demographic data, biochemical parameters, NIHSS scores (National Institutes of Health Stroke Scale), mRS (modified Rankin scale) scores were recorded.

RESULTS

The research was performed in 100 patients (median age, 71.55 ± 11.46 years), and there was a statistically significant difference between elevated erythrocyte distribution width (RDW) and Maas collateral score (insular cortex) (p = 0.024) and lymphocyte/ monocyte ratio (LMO) and Maas collateral (leptomeningeal) score (p = 0.025).

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.

Prognostic value of red blood cell distribution width in predicting 3-month functional outcome of patients undergoing thrombolysis treatment for acute ischemic stroke

This study was performed to determine whether red blood cell distribution width (RDW) is associated with 3-month poor functional outcome in patients undergoing thrombolytic therapy for acute ischemic stroke.RDW was measured in patients with thrombolytic therapy in emergency department. Functional outcome was assessed after 3 months and poor functional outcome was defined as modified Rankin scale 3 to 6.A total of 240 patients were enrolled, and 82 (34.2%) had a poor functional outcome. The median RDW was significantly elevated in patients with a poor functional outcome compare with those with a good outcome. RDW was independently associated with a 3-month poor functional outcome (odds ratio 3.369, 95% confidence interval 2.214-5.125). The optimal RDW cutoff for predicting 3-month poor functional outcome was 12.8%, and the area under the curve for RDW was 0.818 (95% confidence interval 0.761-0.876). The area under the curve for RDW was higher in male patients than in female patients. The RDW correlated positively with the modified Rankin scale score after 3 months and the initial National Institutes of Health Stroke Scale score.Initial higher RDW level is related to a 3-month poor functional outcome in patients undergoing thrombolytic therapy for acute ischemic stroke.

Risk Factors for Acute Coronary Syndrome in Upper Gastrointestinal Bleeding Patients

Background

Upper gastrointestinal bleeding (UGIB) is a common critical disease with a certain fatality rate. Acute coronary syndrome (ACS), another critical ill condition, is a regular occurrence in the UGIB. We identified risk factors for ACS in UGIB.

Methods

676 patients diagnosed with UGIB were enrolled retrospectively. We assessed the occurrence of ACS in UGIB patients and identified the risk factors for ACS by logistic regression analysis and random forest analysis.

Results

After propensity score matching (PSM), the ACS group (n = 69) and non-ACS group (n = 276) were analyzed. Logistic regression analysis showed that syncope (P = 0.001), coronary heart disease history (P = 0.001), Glasgow Blatchford score (P ≤ 0.001), Rockall risk score (P = 0.004), red blood cell distribution width (RDW) (P ≤ 0.001), total bilirubin (TBil) (P = 0.046), fibrinogen (P ≤ 0.001), and hemoglobin (P = 0.001) had important roles in ACS patients. With Mean Decrease Gini (MDG) sequencing, fibrinogen, RDW, and hemoglobin were ranked the top three risk factors associated with ACS. In ROC analysis, fibrinogen (AUC = 0.841, 95% CI: 0.779-0.903) and RDW (AUC = 0.826, 95% CI: 0.769-0.883) obtained good discrimination performance. According to sensitivity > 80%, the pAUC of fibrinogen and RDW were 0.077 and 0.101, respectively, and there was no significant difference (P = 0.326). However, according to specificity > 80%, the pAUC of fibrinogen was higher than that of RDW (0.126 vs. 0.088, P = 0.018).

Conclusion

Fibrinogen and RDW were important risk factors for ACS in UGIB. Additionally, combination with coronary heart disease, syncope, hemoglobin, and TBil played important roles in the occurrence of ACS. Meanwhile, it was also noted that Rockall score and Glasgow Blatchford score should be performed to predict the risk.

Elevated Red Blood Cell Distribution Width May Be a Novel Independent Predictor of Poor Functional Outcome in Patients Treated with Mechanical Thrombectomy

Purpose

Red blood cell distribution width (RDW) evaluates the variation (size heterogeneity) in red blood cells. Elevated RDW has been identified as a predictor of poor functional outcomes for acute ischemic stroke. The association between elevated RDW level and poor functional outcome in stroke patients undergoing mechanical thrombectomy has not been reported before. This study aims to investigate this relationship.

Materials and Methods

This was a multicenter retrospective study involving the prospectively and consecutively collected data of 205 adult stroke patients who underwent mechanical thrombectomy for anterior circulation large vessel occlusion (middle cerebral artery M1, anterior cerebral artery A1, tandem ICA-MCA, carotid T) between July 2017 and December 2019. RDW cut off levels were accepted as >16%. The effect of elevated RDW on poor functional outcome (modified Rankin scale 3–6) was investigated using bivariate and multivariate regression analysis.

Results

Elevated RDW was significantly associated with poor functional outcome in bivariate and multivariate analysis (odds ratio [OR] for RDW >16%, 2.078; 95% confidence interval [95% CI], 1.083–3.966; P=0.027 and OR for RDW >16%, 2.873; 95% CI, 1.342–6.151; P=0.007; respectively).

Conclusion

These findings suggest that elevated RDW may be an independent predictor of poor functional outcomes in ischemic stroke patients undergoing mechanical thrombectomy.

The predictive value of red cell distribution width for stroke severity and outcome

Objectives

In the present study, we sought to investigate the association between red cell distribution width (RDW) and stroke severity and outcome in patients who underwent anti-thrombolytic therapy with tissue plasminogen activator (tPA).

Results

In this prospective study, 282 stroke patients who underwent tPA injection were included. The categorization of RDW to < 12.9% and > 13% values revealed insignificant difference in stroke severity score, accounting for the mean 36-h NIHSS of 8.19 ± 8.2 in normal RDW values and 9.94 ± 8.28in higher RDW group (p = 0.64). In seventh day, NIHSS was 6.46 ± 7.28 in normal RDW group and was 8.52 ± 8.35 in increased RDW group (p = 0.058). Neither the 36-h, nor the seventh day and 3-month mRS demonstrated significant difference between those with normal and higher RDW values.

Red blood cell distribution width is associated with neuronal damage in acute ischemic stroke

Elevated red blood cell distribution width (RDW) has been found to be associated with the occurrence of ischemic stroke. However, there is no defined relationship between RDW and neuronal damage in acute ischemic stroke (AIS). This study was designed to determine the relationship between RDW and neuronal damage in AIS patients. A total of 442 consecutive AIS patients from January 2018 to June 2019 were evaluated for neuronal damage, which was estimated by serum neuron-specific enolase (NSE) levels. Red blood cell distribution width-standard deviation (RDW-SD), a parameter that reflects the heterogeneity of red blood cell volume, was also assessed. We evaluated the association between the RDW-SD and serum NSE level through multivariate-adjusted linear regression analysis. Both the serum NSE level and the incidence of high NSE increased according to the increased RDW-SD tertile in AIS patients (p<0.01). There was a positive correlation between RDW-SD and serum NSE levels (r=0.275, 95% CI: 0.187-0.359, p<0.001). The beta coefficients (95% CI) between RDW-SD and serum NSE levels were 0.32 (0.21-0.42, p<0.001) and 0.26 (0.15-0.38, p<0.001), respectively, in AIS patients before and after adjusting for potential confounders. In conclusion, we found a significant positive association between RDW-SD and neuronal damage in AIS patients.

Predicting the One-Year Prognosis and Mortality of Patients with Acute Ischemic Stroke Using Red Blood Cell Distribution Width Before Intravenous Thrombolysis

Purpose

Red blood cell (RBC) distribution width (RDW) is known to reflect the heterogeneity of RBC volume, which may be associated with cardiovascular events or mortality after myocardial infarction. However, the association between RDW and stroke, especially regarding endpoints such as death, remains ambiguous. This study aimed to explore the prognostic value of RDW and its effect on mortality among patients with acute ischemic stroke (AIS) undergoing intravenous thrombolysis (IVT) after one year.

Patients and Methods

We retrospectively reviewed patients with AIS treated with IVT between January 2016 and March 2018. We grouped the patients according to modified ranking scale (MRS) scores as follows:0–2, favorable functional outcome group; and 3–6, unfavorable functional outcome. Predictors were determined using multivariate logistic regression (MVLR). The area under receiver-operating characteristic curve (AUC) was used to evaluate the predictive capability of variables. Furthermore, the Cox proportional hazard model was used to assess the contribution of risk factors to the outcome of death at one year later.

Results

MVLR analysis showed that RDW (odds ratio [OR], 1.179; 95% confidence interval [CI], 0.900–1.545; p = 0.232) was not an independent predictor of unfavorable functional outcome, but it (OR 1.371; 95% CI 1.109–1.696; p = 0.004) was an independent biomarker for all-cause mortality. The optimal RDW cut-off value to predict mortality was 14.65% (sensitivity: 42%, specificity: 88.3%, AUC: 0.649, p < 0.001). Furthermore, higher RDW (hazard ratio, 2.860; 95% CI, 1.724–4.745; p < 0.001) indicated a greater risk of death.

Conclusion

The baseline RDW is a potential predictor of mortality in patients with AIS undergoing IVT, but RDW might not be associated with worse survival function among stroke survivors, which will help us to improve treatments and the management of patients with AIS.

Red blood cell distribution width is associated with mortality after acute ischemic stroke: a cohort study and systematic review

Background

Whether red blood cell distribution width (RDW) is associated with the prognosis of acute ischemic stroke is inconclusive according to recent studies. We performed a cohort study and meta-analysis to explore the association between RDW and functional outcome.

Methods

Patients with ischemic stroke admitted to the Department of Neurology within 24 hours of stroke onset between January 1, 2015 to December 31, 2018 were enrolled. Blood was sampled within 24 hours after admission. We searched PubMed, Embase, Web of Science databases up to Nov 2019 to identify studies investigating the association between RDW values and prognosis following stroke. Outcomes included 3-month death and poor functional outcome [defined by modified Rankin Scale (mRS) score ≥3].

Results

We included 1,558 patients in cohort study. RDW was independently associated with 3-month death [odds ratio (OR), 1.19; 95% confidence interval (CI), 1.03, 1.37], but not associated with 3-month poor outcome (OR 1.05, 95% CI, 0.95, 1.16), after adjustment for confounders. A dose-dependent relationship between RDW levels and 3-month death was revealed in the restricted cubic spline plot. Seven observational studies with 4,407 patients were identified for systematic review. When combining our study and previous studies, the association was significant for RDW predicting death (5 studies with 3,366 patients, OR 1.25, 95% CI, 1.15, 1.35), as well as for poor outcome (4 studies with 3,483 patients, OR 1.23, 95% CI, 1.05, 1.44).

Conclusions

RDW was an independent predictor of 3-month functional outcome, and a trend of dose-dependent relationship between RDW and 3-month death was detected.

Red Cell Distribution Width (RDW) Index as a Predictor of Severity of Acute Ischemic Stroke: A Correlation Study

Introduction:

Globally, stroke is one of the leading causes of death and disability-adjusted life-years (DALYs). The red cell distribution width (RDW) is a readily available and inexpensive test which is done routinely as a part of complete blood count in these patients.

Objective:

In this study, we tried to correlate the RDW with severity of acute ischemic stroke (AIS).

Methods:

Patients presenting to emergency department (ED) within 24 hours of the onset of clinical signs and symptoms suggestive of AIS were assessed for Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) score followed by non-contrast computed tomography (NCCT) scan. RDW value for all the patients who were included in the study were co-related with the severity of the stroke.

Results:

The median (IQR) RDW in the patients with minor stroke on the basis of GCS was 13.5 (13.3–13.5), moderate stroke was 13.8 (13.5–14.4) and with severe stroke was 15.4 (15.1–15.6) (p < 0.001). The median (IQR) RDW in the patients with minor stroke on the basis of NIHSS score was 13.4 (13.2 – 13.6), moderate stroke was 13.8 (13.5–14.3), and moderate to severe stroke was 14.7 (14.5–15.3) and with severe stroke was 15.5 (15.1–15.7) (p < 0.001). The median RDW in patients who were alive was 13.8 (13.5–15.1) and in patients who expired was 15.5 (14.5–15.7) (p = 0.048).

Conclusion:

Based on the findings of this study, RDW index has statistically significant correlation with the severity of AIS. So it can potentially be an important parameter to predict the prognosis of AIS patients.

The diagnostic and prognostic value of red cell distribution width in cardiovascular disease; current status and prospective

The red blood cell distribution width (RDW) is an index of the heterogeneity of circulating red blood cell size, which along with other standard complete blood count (CBC) parameters are used to identify hematological system diseases. Besides hematological disorders, several clinical studies have shown that an increased in the RDW may be associated with other diseases including acute pancreatitis, chronic kidney disease, gastrointestinal disorders, cancer, and of special interest in this review, cardiovascular disease (CVD). The diagnostic and prognostic value of RDW in different CVD (acute coronary syndrome, ischemic cerebrovascular disease, peripheral artery disease, atrial fibrillation, heart failure, and acute ischemic stroke) has been reviewed in this article, to provide an understanding how its measurement may be applied to improve the management of these conditions.

The role of radiologic, clinical and biochemical parameters in prediction of stroke mortality

Objectives:

To assess National Institutes of Health Stroke Scale (NIHSS), stroke volume, biochemical, and blood parameters for the prediction of one-month mortality in stroke patients

Methods:

The study had retrospective design and 75 patients were involved that presented to a hospital Emergency Department between January 2016 and December 2017 in Adiyaman, Turkey diagnosed with acute ischemic cerebral infarction. The patients were divided into 2 groups according to whether mortality occurred within one month. Values for NIHSS, stroke volume, Glasgow Coma Scale, and blood parameters were compared between the groups.

Results:

Values for Glasgow Coma Scale p=0.002, NIHSS p=0.001, stroke volume p=0.003, monocyte/HDL ratio p=0.047, neutrophils p=0.01, white blood cell p=0.007, calcium p=0.016, and albumin p=0.027 were statistically significant for the prediction of one-month mortality. There were no significant differences between the groups for other parameters.

Conclusion:

The clinical, laboratory, and radiological findings individually provide significant support for the short-term prognosis of stroke. The evaluation of these results together can provide a clearer advance understanding of a prognosis to better manage the course of the disease and prevent death.

Red cell distribution width as a predictor of multiple organ dysfunction syndrome in patients undergoing heart valve surgery

The aim of the study was to evaluate the prognostic value of red cell distribution width (RDW) for multiple organ dysfunction syndrome (MODS) in the early postoperative period in patients undergoing valve replacement or repair surgery. A prospective study was conducted on a group of 713 patients with haemodynamically significant valvular heart disease who underwent elective valvular surgery. The primary end-point at the 30-day follow-up was postoperative MODS. The secondary end-point was death from all causes in patients with MODS. The postoperative MODS occurred in 72 patients. At multivariate analysis: RDW (OR 1.267; 95% CI 1.113-1.441; P=0.0003), creatinine (OR 1.007; 95% CI 1.001-1.013; P=0.02) and age (OR 1.047; 95% CI 1.019-1.077; P=0.001) remained independent predictors of the primary end-point. Receiver operator characteristics analysis determined a cut-off value of RDW for the prediction of the occurrence of the perioperative MODS at 14.3%. RDW (OR 1.448; 95% CI 1.057-1.984; P=0.02) and age (OR 1.057; 95% CI 1.007-1.117; P=0.04) were associated with an increased risk of death in patients with perioperative MODS. Elevated RDW is associated with a higher risk of MODS and death in patients with MODS following heart valve surgery.

Preoperative Red Cell Distribution Width and 30-day mortality in older patients undergoing non-cardiac surgery: a retrospective cohort observational study

Increased red cell distribution width (RDW) is associated with poorer outcomes in various patient populations. We investigated the association between preoperative RDW and anaemia on 30-day postoperative mortality among elderly patients undergoing non-cardiac surgery. Medical records of 24,579 patients aged 65 and older who underwent surgery under anaesthesia between 1 January 2012 and 31 October 2016 were retrospectively analysed. Patients who died within 30 days had higher median RDW (15.0%) than those who were alive (13.4%). Based on multivariate logistic regression, in our cohort of elderly patients undergoing non-cardiac surgery, moderate/severe preoperative anaemia (aOR 1.61, p = 0.04) and high preoperative RDW levels in the 3rd quartile (>13.4% and ≤14.3%) and 4th quartile (>14.3%) were significantly associated with increased odds of 30-day mortality - (aOR 2.12, p = 0.02) and (aOR 2.85, p = 0.001) respectively, after adjusting for the effects of transfusion, surgical severity, priority of surgery, and comorbidities. Patients with high RDW, defined as >15.7% (90th centile), and preoperative anaemia have higher odds of 30-day mortality compared to patients with anaemia and normal RDW. Thus, preoperative RDW independently increases risk of 30-day postoperative mortality, and future risk stratification strategies should include RDW as a factor.

Red Blood Cell Distribution Width: A Novel Predictive Indicator for Cardiovascular and Cerebrovascular Diseases

The red blood cell distribution width (RDW) obtained from a standard complete blood count (CBC) is a convenient and inexpensive biochemical parameter representing the variability in size of circulating erythrocytes. Over the past few decades, RDW with mean corpuscular volume (MCV) has been used to identify quite a few hematological system diseases including iron-deficiency anemia and bone marrow dysfunction. In recent years, many clinical studies have proved that the alterations of RDW levels may be associated with the incidence and prognosis in many cardiovascular and cerebrovascular diseases (CVDs). Therefore, early detection and intervention in time of these vascular diseases is critical for delaying their progression. RDW as a new predictive marker and an independent risk factor plays a significant role in assessing the severity and progression of CVDs. However, the mechanisms of the association between RDW and the prognosis of CVDs remain unclear. In this review, we will provide an overview of the representative literatures concerning hypothetical and potential epidemiological associations between RDW and CVDs and discuss the underlying mechanisms.

Red blood cell distribution width and ischaemic stroke

The red blood cell distribution width (RDW) is a measure of red blood cell (RBC) size heterogeneity, which is easily calculated by dividing the SD of erythrocyte volumes for the mean corpuscular volume. Recent reporter suggested that, besides haematological diseases and anaemia, many human disorders may be closely associated with the elevated RDW. A literature review has revealed the RDW may be closely related to the development of ischaemic stroke, carotid artery atherosclerosis and cerebral embolism. Higher RDW could independently predict adverse outcomes in patients in these conditions.

Routine hematological parameters are associated with short- and long-term prognosis of patients with ischemic stroke

BACKGROUND

Previous studies indicated that some routine hematological parameters are associated with the prognosis of ischemic stroke (IS), but none of study has evaluated them simultaneously. The aim of this study was to investigate the prognostic value of routine hematological parameters in IS patients.

METHODS

Using medical record database, we retrospectively reviewed the patients with IS admitted in Gansu Province Hospital between June 2014 and July 2015. The prognostic value of routine hematological parameters on admission was analyzed using logistic regression model, receiver operating characteristic (ROC) curve analysis and Cox proportional hazards model.

RESULTS

Patients with hospital mortality had significantly higher white blood cell (WBC), neutrophil, neutrophil to lymphocyte ratio (NLR), red blood cell distribution width (RDW) and National Institutes of Health Stroke Scale (NIHSS), while their lymphocyte, monocyte, and eosinophil were significantly lower. The area under ROC curve (AUC) for eosinophil, neutrophil, WBC, RDW, NLR, monocyte, and lymphocyte were 0.74 (95% CI, 0.67-0.82), 0.76 (95% CI, 0.67-0.84), 0.72 (95% CI, 0.64-0.81), 0.65 (95% CI, 0.56-0.73), 0.76 (95% CI, 0.68-0.84), 0.67 (95% CI, 0.59-0.76), and 0.75 (95% CI, 0.67-0.83), respectively. In a multivariable logistical regression model, only WBC, NLR, and NIHSS were independently associated with hospital mortality. In a multivariable model, age, NIHSS, RDW, NLR, and eosinophil were independent prognostic factors for all-cause mortality.

CONCLUSION

Red blood cell distribution width, NLR and eosinophil are independent prognostic factors for IS.

Efficacy of the red blood cell distribution width for predicting the prognosis of Bell palsy: a pilot study

The aim of this study was to investigate the association between RDW values and the prognosis of patients with Bell palsy in an effort to find a prognostic biomarker that predicts recovery from Bell palsy. We measured RDW and evaluated facial movement in 61 patients with Bell palsy aged 50 years and less. All patients were treated with a steroid plus an antiviral agent. Seven patients underwent surgery for facial nerve decompression. During the post-treatment period, patients with a Yanagihara grading score of 36 or more were regarded as having a satisfactory recovery. Patients were divided into two groups (recovered and unrecovered) according to their response to treatment, and several parameters, including the RDW, were measured for further analysis. RDW values were significantly higher in the unrecovered group than in the recovered group (13.5 ± 1.7 vs. 12.7 ± 0.7%, p = 0.046). In the multiple logistic regression model, RDW was the only factor associated with recovery from Bell palsy (odds ratio 1.93, 95% confidence interval 1.02-4.65, p = 0.042). Our preliminary study provides the first evidence that the red cell distribution width (RDW) can predict recovery from Bell palsy in patients aged 50 years and less. Further studies are necessary to elucidate the potential pathophysiological mechanisms for our findings.

Transient Ischemic Attack Versus Seizure: Use of Complete Blood Count Parameters for Differential Diagnosis

INTRODUCTION

Seizures are an important group of diagnoses in the differential evaluation of Transient Ischemic Attack (TIA)because of their variable and temporary signs and symptoms. Physicians must frequently rule out TIA in asymptomatic patients with normal diagnostic neuroimaging.

AIM

The current study aimed to investigate the efficacy of Complete Blood Count (CBC) components in the differential diagnosis of TIA and seizures.

MATERIALS AND METHODS

Our study was a retrospective case-control study. Patients admitted to the Emergency Department (ED) and hospitalized with an initial diagnosis of TIA or seizure at the neurology clinic of Erzurum Ataturk University Training Hospital between January 1, 2012, and December 31, 2014, were recruited for the study. Patients with inaccessible or missing data were excluded.

RESULTS

We identified 1,459 ED admissions that resulted in neurology clinic hospitalizations of patients with initial diagnoses of TIA (n=911) and seizure (n=420) over a 24-month time period. A total of 128 patients were excluded from the study.

CONCLUSION

We conclude that CBC may have a diagnostic value on TIA and seizure differentiation, but this is limited because of statistical and clinical incompatibility. Elevated White Blood Cells (WBC) values of seizure patients compared with TIA patients' may help clinicians at the preliminary phase of diagnostic studies. We conclude that age is a remarkable and valuable demographic parameter in addition to physical examination, laboratory and imaging studies.

Diagnostic values of red cell distribution width, platelet distribution width and neutrophil-lymphocyte count ratio for sepsis

The aim of this study was to evaluate the diagnostic efficiency of red blood cell distribution width (RDW), platelet distribution width (PDW), the neutrophil-lymphocyte count ratio (NLCR), procalcitonin (PCT) and C-reactive protein (CRP) for the prediction of sepsis. A total of 120 consecutive patients who underwent blood culture testing were included. The PCT and CRP levels, and RDW, PDW and NLCR percentages were determined and compared between patients with positive blood cultures and those without. The PCT, CRP, RDW, PDW and NLCR values were significantly higher in patients with positive blood culture compared with those without. PCT and NLCR each had a high diagnostic performance for the prediction of sepsis, with an area under the curve (AUC) for sepsis of 0.829 and 0.718, respectively. A combination of RDW, PDW and NLCR also exhibited a good diagnostic performance for sepsis (AUC, 0.704). NLCR is easily obtained by automated hematological analysis. Moreover, NLCR was found to have a high diagnostic efficiency for the prediction of sepsis, with greater sensitivity and accuracy than CRP. In conclusion, PCT exhibited the optimal diagnostic performance among the tested markers. The combination of the three parameters of RDW, PDW and NLCR, demonstrated a high diagnostic performance similar to that of PCT.

IS RDW A PREDICTIVE PARAMETER FOR CUBITAL TUNNEL SYNDROME PATIENTS REQUIRING SURGERY?

OBJECTIVE

The aim of this study was to investigate whether haemogram parameters are predictive factors for both the severity of the disease and a decision in favor of surgical treatment in patients with an established diagnosis of cubital tunnel syndrome (CuTS) .

METHODS

The medical files of patients with a diagnosis of CuTS who were followed-up conservatively (n=92) or surgically treated (n=92) were retrospectively screened and the haemogram parameters were recorded .

RESULTS

The receiver operating characteristic (ROC) curve analysis revealed an area of 0.665 under the curve, with 76.3% sensitivity and 84.8% specificity at the cut-off of a red cell distribution width (RDW) level grater than 15.45%. RDW levels higher than 15.5%, electromyography (EMG) severity, and a clinical score higher than three were found to be independently associated with surgery .

CONCLUSION

An elevated RDW value was related to the severity of the electromyogram. RDW may, therefore, be a useful independent predictor for the decision to surgical treatment of CuTS. Level of Evidence III, Retrospective Study.

Red blood cell distribution width and cardiovascular diseases

BACKGROUND

The red blood cell distribution width (RDW) is a rather simple measure of red blood cell (RBC) size heterogeneity (i.e., anisocytosis), which is easily calculated by dividing the standard deviation (SD) of erythrocyte volumes for the mean corpuscular volume (MCV). Emerging evidence suggests that, besides RBC abnormalities, many human disorders may be frequently associated with a high degree of anisocytosis.

METHODS

In this narrative review, we analyzed the current scientific literature about the putative role and the potential epidemiologic association between RDW and cardiovascular diseases. The findings of the most representative epidemiological studies were summarized and discussed.

RESULTS

Overall, considerable and convincing evidence has been brought that an increased RDW value is associated with acute coronary syndrome (ACS) [including acute myocardial infarction (AMI)], ischemic cerebrovascular disease (including stroke), peripheral artery disease (PAD), as well as with atrial fibrillation (AF), heart failure (HF) and hypertension. Higher anisocytosis also significantly and independently predicts adverse outcomes in patients with these conditions.

CONCLUSIONS

Although the role of anisocytosis in the pathogenesis of cardiovascular diseases remains uncertain, the considerable evidence available so far suggests that the clinical use of RDW may be broadened beyond the conventional boundaries of erythrocyte disorders, in particular for assisting the diagnosis and prognostication of patients with ACS, ischemic cerebrovascular disease, PAD, HF and AF.