Red Blood Cell Distribution Width as a 5-Year Prognostic Marker in Patients Submitted to Carotid Endarterectomy

Polyvascular Disease Influences Long-Term Cardiovascular Morbidity in Carotid Endarterectomy

INTRODUCTION/OBJECTIVE

Carotid stenosis (CS) is an important cause of ischemic stroke. Secondary prevention lies in performing a carotid endarterectomy (CEA) procedure, the recommended treatment in most cases. When 2 or more vascular regions are simultaneously affected by atherosclerosis, mainly the carotid arteries, coronary arteries, or limb arteries, a multivessel disease polyvascular disease (PVD) is present. This study aims to assess the potential role of PVD as a long-term predictor of major adverse cardiovascular events (MACE) and all-cause mortality in patients submitted to CEA.

METHODS

From January 2012 to December 2021, patients submitted to CEA for carotid stenosis in a tertiary care and referral center were eligible from a prospective database. A posthoc survival analysis was performed using the Kaplan-Meier survival curve method. The primary outcome was the incidence of long-term MACE and all-cause mortality. Secondary outcomes included acute myocardial infarction (AMI), major adverse limb events (MALE), stroke, and acute heart failure (AHF).

RESULTS

A total of 207 patients were enrolled, with a median follow-up of 63 months. The mean age was 70.4 ± 8.9, and 163 (78.7%) were male. There were 65 (31.4%) patients that had 2 arterial vascular territories affected, and 29 (14.0%) patients had PVD in 3 arterial beds. On multivariable analysis, both MACE and all-cause mortality had as independent risk factors age (aHR 1.039, P = 0.003; aHR 1.041, P = 0.019), chronic kidney disease (aHR 2.524, P = 0.003; aHR 3.377, P < 0.001) and PVD2 (aHR 3.381, P < 0.001; aHR 2.665, P = 0.013). PVD1 was only associated with MACE as a statistically significant risk factor (aHR 2.531, 1.439-4.450, P < 0.001).

CONCLUSIONS

PVD in patients with cerebrovascular disease (CVD) was revealed to carry a 2-fold increased risk for all-cause mortality and MACE during long-term follow-up. PVD may be a simple yet valuable tool in predicting all-cause mortality, MACE, AMI, and MALE after CEA.

Associations of Increased Red Cell Distribution Width Levels with the Severity of Carotid Artery Stenosis: Cross-sectional Study Results

Background

Red blood cell distribution width (RDW) is being actively studied as a biomarker in various cardiovascular diseases (CVDs). The aim of this study was to conduct a comparative analysis of RDW in patients with carotid atherosclerosis, comparing it with an assessment of the severity of carotid artery stenosis (CAS).

Methods

The Duplex registry database was used to conduct this retrospective cross-sectional study. The study participants underwent a complete blood count test, analysis for lipid profile, and carotid ultrasound. The patients were divided into 5 groups depending on CAS degree: none; 20%-49%; 50%-69%; 70%-99%; and occlusion.

Results

Data from 2548 patients were included in the final analysis (mean age: 57.9 ± 12.3 years; 51% males [n = 1301]). The analysis confirmed the relationship between the increase in the RDW index and CAS gradation increase in men (Kr-W H = 16.43; P = 0.0009), but was not confirmed in women (Kr-W H = 4.32; P = 0.22). Significantly higher levels of high-density lipoprotein cholesterol and platelets and lower levels of red blood cell and white blood cells were registered in female patients without CAS and with CAS < 50% compared with men (P < 0.001).

Conclusion

The results of the present study showed that RDW is an indicator whose increase is associated with an increase in the degree of carotid atherosclerosis in men, but not in women. This allows to discuss the role of the RDW index as a possible new laboratory biomarker of inflammation and progression of atherosclerosis, which can make an additional contribution to the formation of increased morbidity and mortality in men from atherosclerotic CVD.

R2CHA2DS2-VA predicts the cardiovascular risk after carotid endarterectomy

OBJECTIVE

R2CHA2DS2-VA score has been used to predict short and long-term outcomes in many cardiovascular diseases. This study aims to validate the R2CHA2DS2-VA score as a long-term major adverse cardiovascular events (MACE) predictor after CEA. Secondary outcomes were also assessed regarding the incidence of all-cause mortality, acute myocardial infarction (AMI), major adverse limb events (MALE), and acute heart failure (AHF).

METHODS

From January 2012 to December 2021, patients (n= 205) from a Portuguese tertiary care and referral center that underwent CEA with regional anesthesia (RA) for carotid stenosis were selected from a previously collected prospective database, and a post-hoc analysis was performed. Demographics and comorbidities were registered. Clinical adverse events were assessed 30-days after the procedure and in the subsequent long-term surveillance period. Statistical analysis was performed by the Kaplan-Meier method and Cox proportional hazards regression.

RESULTS

Of the patients enrolled, 78.5% were males with a mean age of 70.44 ± 8.9 years. Higher scores of R2CHA2DS2-VA were associated with long-term MACE (adjusted Hazard Ratio (aHR) 1.390; 95% Confidence Interval (CI) 1.173-1.647) and mortality (aHR 1.295; 95% CI 1.08-1.545) CONCLUSIONS: This study demonstrated the potential of the R2CHA2DS2-VA score to predict long-term outcomes such as AMI, AHF, MACE, and all-cause mortality in a population of patients submitted to carotid endarterectomy.

Red blood cell distribution width as a predictor of cardiovascular outcomes in extensive aortoiliac disease

BACKGROUND

Aortoiliac peripheral artery disease may lead to disabling lower limb claudication or to lower limb chronic threatening ischemia, which is associated with increased short and long-term morbi-mortality. The red blood cell distribution width-coefficient of variation (RDW-CV) has been able to predict outcomes in other atherosclerotic diseases, such as myocardial infarction and stroke. The main objective of this study was to assess the predictive ability of perioperative RDW-CV in accurately predicting short and long-term major adverse cardiovascular events (MACE) and all-cause mortality in patients submitted to aortoiliac revascularization due to extensive aortoiliac atherosclerotic disease.

METHODS

From 2013 to 2020, patients who underwent aortoiliac revascularization due to severe aortoiliac disease were included in a prospective cohort. Blood samples were taken preoperatively and the patient's demographics, comorbidities, and postoperative outcomes were assessed. A multivariate Cox regression model was used to adjust for confounding and assess the independent effect of these prognostic factors on the outcomes.

RESULTS

The study group included 107 patients. Median follow-up was 57 (95% CI: 34.4-69.6) months. Preoperative RDW-CV was increased in thirty-eight patients (35.5%). Increased RDW-CV was associated with congestive heart failure - adjusted odds ratio of 5.043 (95% CI: 1.436-17.717, P=0.012). It could predict long-term occurrence of MACE (adjusted hazard ratio [aHR] 1.065, 95% CI: 1.014-1.118, P=0.011), all-cause mortality (aHR=1.069, 95% CI: 1.014-1.126, P=0.013), acute heart failure (AHF) (aHR=1.569, 95% CI: 1.179-2.088, P=0.002), and stroke (aHR=1.343, 95% CI: 1.044-1.727, P=0.022).

CONCLUSIONS

RDW is a widely available and low-cost marker that was able to independently predict long-term AHF, stroke, MACE, and all-cause mortality in patients with extensive aortoiliac disease submitted to revascularization. This biomarker could help assess which patients would likely benefit from stricter follow-up in the long-term.

Elevated Red Blood Cell Distribution Width Is Associated with Poor Prognosis in Fractured Patients Admitted to Intensive Care Units

OBJECTIVES

Red blood cell distribution width (RDW) with prognosis in various infectious diseases. For fractured patients admitted to the intensive care units (ICU), an accurate and fast appraisal is essential. To investigate the association between RDW and prognosis in fractured patients admitted to the ICU utilizing the MIMIC-III database.

METHODS

A retrospective cohort from the MIMIC III database from 2001 and 2012 was constructed. RDW and other information were collected with in-hospital mortality as the primary outcome and 90-day mortality and hospital and intensive care unit (ICU) length of stay (LOS) as secondary outcomes. Univariate and multivariate logistic regression models with propensity score inverse probability of treatment weighting (IPTW) were used to investigate the prognostic value of RDW. A nomogram was built with significant prognostic factors to predict in-hospital mortality, and the performance of the nomogram was evaluated and compared with other severity assessment scores. Subgroup analysis was also conducted.

RESULTS

A total of 2721 fracture patients admitted to the ICU were identified. After IPTW, the group with higher RDW was significantly associated with elevated in-hospital mortality (odds ratio [OR]: 1.68, 95% confidence interval [CI]: 1.19-2.37), 90-day mortality (OR: 1.39, 95% CI: 1.04-1.86), prolonged hospital LOS (OR: 1.25, 95% CI: 1.03-1.50), and ICU LOS significantly (OR: 1.26, 95% CI: 1.05-1.53) in the multivariate logistics model. The nomogram showed optimal discriminative ability and predictive accuracy with an area under the receiver operating characteristic curve of 0.77.

CONCLUSION

RDW independently predicted in-hospital mortality, 90-day mortality, and hospital and ICU LOS in fractured patients admitted to ICU. The nomogram including RDW could also be a promising tool with potential clinical benefits.

Acute Myocardial Infarction (AMI) as the Effect Modifiers to Modify the Association Between Red Blood Cell Distribution Width (RDW) and Mortality in Critically Ill Patients With Stroke

Background and Objectives

Few studies have evaluated the impact of red blood cell distribution width (RDW) on prognosis for critically ill patients with acute stroke according to recent studies. The aim of this study was to investigate the association between RDW and mortality in these patients.

Methods

Clinical data were extracted from the eICU Collaborative Research Database (eICU-CRD) and analyzed. The exposure of interest was RDW measured at admission. The primary outcome was in-hospital mortality. Binary logistic regression models and interaction testing were performed to examine the RDW-mortality relationship and effect modification by acute myocardial infarction and hypertension (HP).

Results

Data from 10,022 patients were analyzed. In binary logistic regression analysis, after adjusting for potential confounders, RDW was found to be independently associated with in-hospital mortality {odds ratio (OR) 1.07, [95% confidence interval (CI) 1.03 to 1.11]; p = 0.001}. Higher RDW linked to an increase in mortality (OR, 1.07; 95% CI, 1.03 to 1.11; P for trend < 0.0001). Subgroup analysis showed that, in patients combined with AMI and without HP (both P-interaction <0.05), the correlation between RDW and in-hospital mortality is stronger (AMI group: OR, 1.30; 95% CI, 1.07 to 1.58, not the AMI group: OR, 1.06; 95% CI, 1.02, 1.10; the HP group: OR,.98; 95% CI,.91 to 1.07, not the HP group: OR, 1.09; 95% CI, 1.05 to 1.14).

Conclusions

A higher baseline RDW is independently correlated with prognosis in critically ill patients with acute stroke, and the correlation can be modified by AMI and HP duration.

Red Blood Cell Distribution Width Predicts Myocardial Infarction and Mortality After Vascular Surgery-A Prospective Cohort Study

BACKGROUND

This study aims to investigate the association between preoperative Red blood cell Distribution Width (RDW) and postoperative outcomes, including myocardial infarction (MI), and mortality.

METHODS

A prospective cohort including all patients submitted to elective vascular arterial surgery at a university hospital. The primary and secondary outcomes were 30-day mortality and 30-day MI, respectively.

RESULTS

Atrial fibrillation, chronic kidney disease (CKD), and dependent functional status were more prevalent in deceased patients. After multivariable analysis, age (adjusted OR 1.08, 95% Confidence Interval [1.01-1.15], p = 0.027) and RDW-standard deviation (RDW-SD) (1.08 [1.01-1.16], p = 0.032) remained independent predictors of mortality. Patients with MI had higher rates of diabetes, CKD, dependent functional status, ASA physical status IV, and insulin medication. After multivariable analysis, dependent functional status (4.8 [1.6-15.0], p = 0.007), insulin medication (4.4 [1.5-12.6], p = 0.007) and RDW-SD (1.10 [1.02-1.19], p = 0.020) were independent predictors of MI.

CONCLUSION

RDW-SD independently predicted postoperative MI and mortality, and may provide valuable information for prevention and early management of adverse outcomes.

MEAN PLATELET VOLUME PREDICTS RESTENOSIS AFTER CAROTID ENDARTERECTOMY

BACKGROUND

Carotid restenosis following carotid endarterectomy (CEA) has a cumulative risk at 5-years up to 32%, which may impact the well-being of patients following CEA. Haematological parameters in the standard complete blood cell count (CBC) are emerging as potential biomarkers, but their application in CEA is scarce. The primary aim of this study was to investigate haematological markers for restenosis following CEA. The secondary aim was to characterize clinical risk factors for restenosis.

METHODS

From January 2012 to January 2019, 151 patients who underwent CEA under regional anaesthesia due to carotid stenosis were selected from a prospectively maintained cohort database. Patients were included if a preoperative CBC was available in the two weeks preceding CEA. Multivariable analysis was performed alongside propensity score matching (PSM) analysis, using the preoperative CEA parameters, to reduce confounding factors between categories.

RESULTS

The study group comprised 28 patients who developed carotid restenosis. The remaining 123 patients without restenosis composed the control group. Mean age of the patients did not differ significantly between groups (70.25±8.05 vs. 70.32 ± 9.61 YO, p=0.973), neither did gender (male gender 89.3% vs. 78.9%, p=0.206). Regarding haematological parameters, only MPV remained statistically significant within multivariable analysis (1.855, aOR [1.174-2.931], p=0.008), a result supported by PSM analysis (2.072, aOR [1.036-4.147], p=0.042).

CONCLUSION

MPV was able to predict restenosis two years after CEA. Thus, MPV can be incorporated into score calculations to identify patients at greater risk of restenosis, who could benefit from specific monitoring during follow-up. While results are promising, more research is necessary to corroborate them.

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.

Red blood cell distribution width to platelet ratio substantiates preoperative survival prediction in patients with newly-diagnosed glioblastoma

Object

The conception of individual patient-adjusted treatment strategies is constantly emerging in the field of neuro-oncology. Systemic laboratory markers may allow insights into individual needs and estimated treatment benefit at an earliest possible stage. Therefore, the present study was aimed at analyzing the prognostic significance of preoperative routine laboratory values in patients with newly-diagnosed glioblastoma.

Methods

Between 2014 and 2019, 257 patients were surgically treated for newly-diagnosed glioblastoma at the Neuro-Oncology Center of the University Hospital Bonn. Preoperative routine laboratory values including red blood cell distribution width (RDW) and platelet count were reviewed. RDW to platelet count ratio (RPR) was calculated and correlated to overall survival (OS) rates.

Results

Median preoperative RPR was 0.053 (IQR 0.044–0.062). The receiver operating characteristic (ROC) curve indicated an optimal cut-off value for RPR to be 0.05 (AUC 0.62; p = 0.002, 95% CI 0.544–0.685). 101 patients (39%) presented with a preoperative RPR < 0.05, whereas 156 patients (61%) had a RPR ≥ 0.05. Patients with preoperative RPR < 0.05 exhibited a median OS of 20 months (95% CI 17.9–22.1), which was significantly higher compared to a median OS of 13 months (95% CI 10.9–15.1) in patients with preoperative RPR ≥ 0.05 (p < 0.001).

Conclusions

The present study suggests the RPR to constitute a novel prognostic inflammatory marker for glioblastoma patients in the course of preoperative routine laboratory examinations and might contribute to a personalized medicine approach.