Higher Red Blood Cell Distribution Width Research Articles

Clinical Relevance of Red Blood Cell Distribution Width (RDW) in Endometrial Cancer: A Retrospective Single-Center Experience from Korea.

Red blood cell distribution width (RDW) is a standard parameter of complete blood count and indicates the variability in red blood cell size. This study aimed to determine whether preoperative RDW can be used to predict the recurrence and prognosis of endometrial carcinoma. The medical records of 431 patients diagnosed with endometrial carcinoma were retrospectively reviewed between May 2006 and June 2018. In addition to RDW, the clinicopathological factors, survival curves, and prognoses of the patients with endometrial carcinoma were compared between the high (n = 213) and low (n = 218) groups according to the median RDW value (12.8%). The patients with high RDW had significantly advanced-stage (p = 0.00) pelvic lymph node metastasis (p = 0.01) and recurrence (p = 0.01) compared to those in the low-RDW group. In univariate analysis with DFS as the endpoint, surgical stage, type II histology, grade, RDW, and lymph node metastasis were independently associated with survival. Patients with high RDW values had significantly shorter disease-free survival and overall survival than those with low RDW values (log-rank p = 0.03, log-rank p = 0.04, respectively). Our results demonstrate that RDW is a simple and convenient indicator of endometrial carcinoma recurrence. Prospective studies are needed to validate the findings of the current study.

Red cell distribution width is an inflammatory predictor marker of contrast induced nephropathy in patients undergoing percutaneous coronary intervention

Red blood cell distribution width (RDW) is an inflammatory biomarker reported in complete blood cell (CBC) counts. High RDW defines a proinflammatory state. Contrast-induced nephropathy (CIN) is an important and common complication in percutaneous coronary intervention (PCI) treated patients. The current study was conducted to evaluate the role of RDW as a simple predictive inflammatory marker of CIN in PCI treated patients. The current prospective study enrolled 126 PCI treated patients. Laboratory investigations included CBC, liver function test, (HbA1C), lipid profile and serological tests. Serum urea and creatinine levels were obtained at baseline and 48 to 72 hours after PCI procedure, used to categorize for CIN. Diabetes mellitus, hypertension, and ischemic heart disease were present in 39 (31%), 44 (34.9%), and 23 (18.3%) patients, respectively. Of the studied patients, only 19 (15.1%) patients developed CIN. The hemoglobin level was significantly higher in the non-CIN group (13.49 ± 1.63 vs. CIN group 12.56 ± 1.62 mg/dl; p= 0.02). RDW was significantly higher among CIN group than non-CIN group (16.20 ± 2.60 vs. 13.83 ± 2.19 % (p< 0.001). Delta creatinine (% change in creatinine level after 48 hour) was significantly higher in patients with CIN (59.17 ± 28.89 vs. non-CIN 33.62 ± 9.76; p< 0.001). Predictors for CIN in patients who underwent PCI were old age high RDW high delta creatinine and amount of dye. At cut off > 14.5%, RDW had 79% sensitivity, 70% specificity and 71.3% overall accuracy at AUC of 0.76. In conclusion, RDW may be simple and immediately available inflammatory biomarker and predictor for development of CIN in patients undergoing PCI.

Red blood cell distribution width predicts mortality of adult patients receiving veno-arterial extracorporeal membrane oxygenation.

Red blood cell distribution width (RDW) is a numerical measure of the variation in the size of circulating red blood cells. Recently, there is increasing interest in the role of RDW as a biomarker for inflammatory states and as a prognostication tool for a wide range of clinical manifestations. The predictive power of RDW on mortality among patients receiving mechanical circulatory support remains largely unknown. A retrospective analysis of 281 VA-ECMO patients at a tertiary referral academic hospital from 2009 to 2019 was performed. RDW was dichotomized with RDW-Low <14.5% and RDW-High ≥14.5%. The primary outcome was all-cause mortality at 30days and 1year. Cox proportional hazards models were used to examine the association between RDW and the clinical outcomes after adjusting for additional confounders. 281 patients were included in the analysis. There were 121 patients (43%) in the RDW-Low group and 160 patients (57%) in the RDW-High group. Survival to ECMO decannulation [RDW-H: 58% versus RDW-L: 67%, p = 0.07] were similar between the two groups. Patients in RDW-H group had higher 30-days mortality (RDW-H: 67.5% vs RDW-L: 39.7%, p < 0.001) and 1 year mortality (RDW-H: 79.4% vs RDW-L: 52.9%, p < 0.001) compared to patients in the RDW-L group. After adjusting for confounders, Cox proportional hazards model demonstrated that patients with high RDW had increased odds of mortality at 30days (hazard ratio 1.9, 95% CI 1.2-3.0, p < 0.01) and 1year (hazard ratio 1.9, 95% CI 1.3-2.8, p < 0.01) compared to patients with low RDW. Among patients receiving mechanical circulatory support with VA-ECMO, a higher RDW was independently associated with increased 30-days and 1-year mortality. RDW may serve as a simple biomarker that can be quickly obtained to help provide risk stratification and predict survival for patients receiving VA-ECMO.

Exploring regression dilution bias using repeat measurements of 2858 variables in ≤49 000 UK Biobank participants.

Measurement error in exposures and confounders can bias exposure-outcome associations but is rarely considered. We aimed to assess random measurement error of all continuous variables in UK Biobank and explore approaches to mitigate its impact on exposure-outcome associations. Random measurement error was assessed using intraclass correlation coefficients (ICCs) for all continuous variables with repeat measures. Regression calibration was used to correct for random error in exposures and confounders, using the associations of red blood cell distribution width (RDW), C-reactive protein (CRP) and 25-hydroxyvitamin D [25(OH)D] with mortality as illustrative examples. The 2858 continuous variables with repeat measures varied in sample size from 109 to 49 121. They fell into three groups: (i) baseline visit [529 variables; median (interquartile range) ICC = 0.64 (0.57, 0.83)]; (ii) online diet by 24-h recall [22 variables; 0.35 (0.30, 0.40)] and (iii) imaging measures [2307 variables; 0.85 (0.73, 0.94)]. Highest ICCs were for anthropometric and medical history measures, and lowest for dietary and heart magnetic resonance imaging.The ICCs (95% confidence interval) for RDW, CRP and 25(OH)D were 0.52 (0.51, 0.53), 0.29 (0.27, 0.30) and 0.55 (0.54, 0.56), respectively. Higher RDW and levels of CRP were associated with higher risk of all-cause mortality, and higher concentration of 25(OH)D with lower risk. After correction for random measurement error in the main exposure, the associations all strengthened. Confounder correction did not influence estimates. Random measurement error varies widely and is often non-negligible. For UK Biobank we provide relevant statistics and adaptable code to help other researchers explore and correct for this.

Increased Red Blood Cell Distribution Predicts Severity of Chronic Obstructive Pulmonary Disease Exacerbation.

Increased red blood cell distribution width (RDW) has been reported to be related to underlying chronic inflammation. Our aim is to investigate the relationship of different complete blood count (CBC) parameters such as hemoglobin level, mean corpuscular volume (MCV), mean platelet volume (MPV) or RDW with COPD exacerbation severity. In the present retrospective analysis, consecutive patients admitted with the diagnosis of "COPD Exacerbation" between 1 January 2012 and 31 December 2015 were evaluated. The study population included 804 patients with COPD exacerbation. The maximal partial pressure of carbon dioxide in the arterial blood (PaCO2) during hospital stay was significantly higher in patients with high MCV (p < 0.001), and in patients with a high RDW (p < 0.001). The hospitalization duration was significantly longer in patients with high RDW (p < 0.001) and in patients with elevated C-reactive protein (CRP) levels (p < 0.001). CRP levels strongly correlated to RDW (p = 0.001). Our study demonstrated that different CBC parameters, such as MCV and RDW, are in correlation with the severity of acute exacerbation of COPD reflected by the PaCO2 level and the duration of hospitalization. Furthermore, we also found a positive correlation between RDW and CRP levels. This finding supports the hypothesis that RDW is a good biomarker of acute inflammation.

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

The red blood cell distribution width (RDW) is a metric that measures the variation in the size of red blood cells and is presented as the red blood cell volume coefficient of variation. Increased RDW levels are closely linked to an elevated risk of death from congestive heart failure (CHF) and might be a new risk marker for cardiovascular disease. This research sought to evaluate the possible link between RDW levels and all-cause mortality in CHF patients after controlling for other covariates. The publicly accessible Mimic-III database served as the source of data for our research. We employed ICU admission scoring systems to gather information on each patient's demographical data, laboratory test results, comorbid conditions, vital signs, and scores. Among CHF patients, the link between baseline RDW levels and short-, medium-, and long-term all-cause mortality was evaluated by Cox proportional hazard analysis, smooth curve fitting, and Kaplan-Meier survival curves. In total, 4,955 participants were selected for the study with an average age of 72.3 ± 13.5 years (old) and with males accounting for 53.1%. The findings recorded from the fully adjusted Cox proportional hazard model showed that higher RDW was associated with a greater risk of 30-day, 90-day, 365-day, and 4-year all-cause death; the HRs and 95% confidence intervals were 1.11 (1.05, 1.16), 1.09 (1.04, 1.13), 1.10 (1.06, 1.14), and 1.10 (1.06, 1.13), respectively. The results were stable and reliable using subgroup analysis. Smooth curve fitting and the K-M survival curve method further validated our results. The RDW levels had a u-shaped connection with 30-day mortality. The RDW level was linked to an elevated risk of short-, medium-, and long-term all-cause death among CHF patients.

Combined Role of Inflammatory Biomarkers and Red Blood Cell Distribution Width in Predicting In-hospital Outcomes of Acute Ischemic Stroke Patients undergoing Thrombolysis.

To investigate the combined effect of red blood cell distribution width (RDW) and inflammatory biomarkers on in-hospital outcomes of acute ischemic stroke(AIS) patients with thrombolysis. 417 AIS patients with thrombolysis were included. The participants were divided into four groups according to the cut-off of white blood cell (WBC) or C reactive protein (CRP) and RDW: LWLR, LWHR, HWLR, and HWHR; or LCLR, LCHR, HCLR, and HCHR (L-low, H-high, W-WBC, C-CRP, R-RDW). Logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of in-hospital pneumonia and functional outcome across the four subgroups. Patients with higher RDW and inflammatory biomarkers levels have the highest risk of in-hospital outcomes. Compared with patients in the LWLR group, the ORs (95% CIs) of those in the HWHR group were 12.16 (4.21-35.14) and 9.31 (3.19-27.17) for in-hospital pneumonia and functional outcome. The ORs (95% CIs) of those in the HCHR group were 6.93 (2.70-17.78) and 3.38(1.10-10.39) for in-hospital pneumonia and functional outcome, compared with patients in the LCLR group. Simultaneously adding RDW and WBC or CRP to the basic model with established risk factors significantly improved risk discrimination and reclassification for pneumonia and functional outcome (all P<0.05). Combined RDW and inflammatory biomarkers within 4.5 hours had a better predictive power for in-hospital outcomes of AIS patients with thrombolysis.

Is red cell distribution width a prognostic factor in patients with breast cancer? A meta-analysis.

The current study aimed to investigate whether red blood cell distribution width (RDW) can predict the prognosis of patients with breast cancer (BC). We searched four databases, including PubMed, Embase, Cochrane Library databases, and CNKI, from inception to Jun 13, 2022. The primary outcome was overall survival (OS), and the secondary outcome was disease-free survival (DFS). A subgroup analysis was conducted based on different treatments. This meta-analysis was performed with RevMan 5.3 (The Cochrane Collaboration, London, United Kingdom). A total of seven studies including 4,884 BC patients were identified. The high RDW group had a larger tumor size (OR = 2.12, 95% CI = 1.67 to 2.68, P < 0.01), higher proportions of advanced stage tumors (OR = 1.77, 95% CI = 1.38 to 2.27, P < 0.01), more lymph node metastases (OR = 2.00, 95% CI = 1.58 to 2.51, P < 0.01) and lower HER-2 expression (OR = 0.76, 95% CI = 0.61 to 0.95, P = 0.02). For prognosis, after pooling all the data, we found that the high RDW group was associated with worse OS (HR = 2.12, 95% CI = 1.47 to 3.08, P < 0.01) and DFS (HR = 1.77, 95% CI = 1.32 to 2.37, P < 0.01). The subgroup analysis found that RDW had prognostic significance but only for surgery-only patients (HR = 2.41, 95% CI = 1.67 to 3.49, P < 0.01). High RDW was associated with worse OS and DFS. Therefore, RDW was a simple predictive factor for the prognosis of BC patients.

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

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. 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. 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. 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.

Hematological indices as predictors of intracerebral hematoma expansion detected on serial computed tomography

ObjectiveHematoma expansion is associated with unfavourable neurological outcomes in intracranial haemorrhage. We aimed to study association of red blood cell (RBC) indices, platelet indices, and their ratios with hematoma expansion, detected by serial computed tomography (CT). MethodsHospital-based observational study of 88 patients with intracerebral hematoma referred for serial CT head with patients grouped as having progression/ no change/ resolution of hematoma. Baseline hematological indices and ratios were analysed. Results40 patients (45.5 %) had resolution, 20 patients (22.7 %) had no change and 28 patients (31.8 %) had progression of hematoma. RBC distribution width (RDW) (p value 0.001) and Plateletcrit (p-value 0.009) showed statistically significant difference among the groups. RBC distribution width (RDW) to PC ratio (RPR)showed statistically significant increase (p < 0.001) in patients with progression.Receiver operating characteristic curve with RPR as test variable in predicting progression of hematoma showed cut-off value as 0.0615 (64.3 % sensitivity, 63.3 % specificity). Patients with RPR > 0.0615 had greater chances of hematoma progression {OR 3.1 (95 % CI 1.22 to 7.91); p = 0.0174} ConclusionRaised RPR was most significant parameter with higher RDW, lower plateletcrit values in patients with progression of intra-parenchymal hematoma. These readily available indices can aid in prompt prognostication of intracerebral haemorrhage cases.

RDW as A Predictor for No-Reflow Phenomenon in DM Patients with ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention.

No-reflow phenomenon (NRP) in ST-segment elevation myocardial infarction (STEMI) patients is not infrequent. The predictive value of red blood-cell distribution width (RDW) on NRP has not been explored. STEMI patients undergoing primary percutaneous coronary intervention (pPCI) were enrolled. Plasma samples were obtained at admission. Participants were divided into two groups according to RDW. Logistic regression and receiver operating characteristic (ROC) curve were performed to evaluate the relationship between RDW and NRP. Subgroup analysis was made between the diabetes mellitus (DM) group and the No-DM group. The high RDW group had a higher NRP compared to the low group. In multivariate logistic regression analysis, DM (adjusted odds ratio [AOR]:1.847; 95% confidence interval [CI]: 1.209-2.822; p = 0.005) and hemoglobin (AOR: 0.986; 95% CI: 0.973-0.999; p < 0.05), other than RDW, were independent predictors of NRP. RDW (AOR: 2.679; 95% CI: 1.542-4.655; p < 0.001) was an independent predictor of NRP in the DM group, but not in the No-DM group. In the DM group, area under the ROC curve value for RDW predicting NRP was 0.707 (77.3% sensitivity, 56.3% specificity (p < 0.001)). RDW is a predictor of NRP in DM patients with STEMI, which provides further assistance in clinicians' decision making.

Red blood cell distribution width at diagnosis as a predictor factor in chronic phase-chronic myeloid leukemia patients treated with first-generation tyrosine kinase inhibitors

BACKGROUND: Chronic myelogenous leukemia is a hematological disorder of stem cells resulting from uncontrolled and unregulated growth of myeloid cells in the bone marrow. Since the introduction of tyrosine kinase inhibitors (TKIs), therapy has dramatically improved survival in these patients. TKIs treatment targeting BCR-ABL significantly improves the prognosis of patients with chronic myelogenous leukemia. To date, the validity of scoring systems is insufficient for predicting prognosis, and there are few studies of scoring systems for predicting treatment response and clinical efficacy of TKIs. OBJECTIVES: The objective of this study was to evaluate the ability of the red blood cell distribution width (RDW) to predict treatment response in chronic myeloid leukemia-chronic phase (CP) patients treated with first-generation TKI. PATIENTS AND METHODS: A prospective and retroprospective cohort study was conducted on chronic myeloid leukemia-CP patients treated with first-generation TKI at Iraqi Hematological Centers. The collection period was from December 2020 to November 2021. Patients were treated with first-generation TKIs as initial therapy and were followed up to assess the response by polymerase chain reaction (PCR). The assessment of RDW was done at baseline and then at 3, 6, 12, and 18 months after initiation of therapy. RESULTS: There were 150 patients included in this study. The mean age of patients was 43.7 ± 14 years (range: 18–84 years). Males were representing 48.6% and females 51.3%. The classification of baseline RDW showed that the majority of patients (53%) had high RDW. The RDW showed significant change over time, in which, it was significantly decreasing over time (P &lt; 0.05). Association between PCR over time and baseline RDW category showed that the high baseline RDW was associated with higher mean PCR at 3, 6, 12, and 18 months (P &lt; 0.05). The correlation between RDW at baseline and PCR at 3, 6, 12, and 18 months showed that there was a significant positive weak correlation between baseline RDW and PCR at 6, 12, and 18 months. The association between baseline RDW and the response showed that high baseline RDW was associated with higher failure rate at 6 and 12 months (P &lt; 0.05). CONCLUSION: RDW could be used in the prediction of response to treatment. Furthermore, high RDW showed significant association with high disease activity score, high white blood cell count, and lower hemoglobin, in addition to association and correlation with PCR level.

Is there any relationship between red blood cell distribution width and prognosis of brain death?

Accumulating evidence has demonstrated that RDW (red blood cell distribution width) may independently predict clinically important outcomes in many populations. However, the role of RDW has not been elucidated in brain death. We conducted this study with the aim of evaluating the predictive value of RDW in brain death. A retrospective study of seventy-seven of brain death cases during 36 months were evaluated at university hospitals, affiliated in Tehran, Iran. Demographical data include age, sex, BMI and cause of brain death, also laboratory results (red blood cell distribution, mean corpuscular volume, hemoglobin) collected by checklists from patient records. Having the three RDW measurements (days of hospital admission, day of brain death, and day of cardiac arrest) required. Time interval from hospital admission until brain death was 5.27±4.07. The mean age of brain death cases was 32.65±16.53. The mean RDW values on days of hospital admission, the day of brain death, and the day of cardiac arrest were 14.53±1.98, 15.12±1.93 and 15.18±2.07, respectively. Results of the repeated-measures ANOVA test reveal that RDW level was constantly higher in the traumatic patient group compared to the non-traumatic ones (P=0.008). The frequency of brain death was high in patients with high RDW values. RDW might be a prognostic biomarker for brain death. More prospective studies with large sample size and long follow-up period should be carried out to determine the prognostic significance of RDW and brain death in future.

An Increase in Admission RDW Value Is Associated with Excess Short-Term Mortality Rates in Patients with Severe Burns.

The predictive value of red blood cell distribution width (RDW) in severely burned patients remains unclear. This study aimed to investigate the potential association between admission RDW and outcomes in patients with severe burns. Data of severely burned patients in the burn center of Changhai Hospital were retrospectively evaluated. The relationship between admission RDW and mortality was analyzed and displayed using the receiver operating characteristic curve, Kaplan-Meier curve, Cox proportional hazards regression, and the nomogram method. A total of 342 patients were identified according to the filter criteria. The 30-day mortality was 12.9%, and the mortality rates in 7days and 90days were 2.9% and 16.7%, respectively. Patients with high admission RDW value were more likely to die than those with low RDW value. Multivariate analysis revealed that higher admission RDW, age, full-thickness burned area, and inhalation injury were independent risk factors with 30-day mortality. The nomogram based on these risk factors was established to predict survival probability in severe burn patients. The C-index of different follow-up times was computed between 0.867 and 0.904, and the nomogram model list fits the data well. Admission RDW played a valuable role in predicting short-term mortality in patients with severe burns. The nomogram containing admission RDW was established to predict mortality, which helps burn care providers identify the patients at higher risk of short-term mortality after severe burns. More attention should be paid to the application of these easy and inexpensive biochemical indicators in the early prediction of disease progression.

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

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. 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. 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. 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.

Pretreatment red blood cell distribution width may be a potential biomarker of prognosis in urologic cancer: a systematic review and meta-analysis.

Purpose: To demonstrate the prognostic value of pretreatment red blood cell distribution width (RDW) in patients with urological cancer. Methods: We searched the relevant literature on Web of Science, Cochrane Central Register of Controlled Trials, PubMed, Embase, Sinomed databasesand Chinese National Knowledge Infrastructureup to 30March 2022, to investigate the relationship between RDW levels and the prognosis of patients with urological tumors. Results: This study comprised 15 retrospective studies involving 9492 patients. Increased pretreatment RDW was associated with poorer overall survival(hazard ratio [HR]: 1.52; 95% CI: 1.27-1.82;p<0.001), cancer-specific survival (HR: 1.34;95% CI: 1.15-1.57; p <0.001) and progression-free survival (HR: 1.53;95% CI: 1.26-1.86;p<0.001). Conclusion: High pretreatment RDW might predict poor survival for patients with urologic cancers.

The Relation Between Red Blood Cell Distribution Width and Coronary Atherosclerotic Plaque Vulnerability Detected by Intracoronary Optical Coherence Tomography.

A higher red blood cell distribution width (RDW) predicts major adverse cardiac events in patients with coronary artery disease (CAD). However, there are only a few studies regarding the relationship between RDW and vulnerable plaques. Thus, the purpose of the present study is to retrospectively explore the predictive value of the association between RDW and plaque vulnerability assessed by optical coherence tomography (OCT) in patients with cardiovascular (CV) diseases. This study included 35 patients with stable angina pectoris (SAP) and 70 patients with the acute coronary syndrome (ACS). We documented clinical features as well as peripheral RDW. Plaque vulnerability was determined by OCT. We defined thin-cap fibroatheroma (TCFA) as a lipid-rich plaque (fibrous cap <65 μm thick). Plaque rupture was detected more frequently in patients with ACS compared with patients with SAP (62.9 vs. 2.9%, p<0.001, and the corresponding TCFA were 50.69±15.68 vs. 80.03±21.60 μm, p<0.001, respectively). A higher RDW was found in patients with ACS than in patients with SAP (p<0.001). A cut-off value of RDW >13.85% could detect ruptured plaque with a sensitivity of 72.3% and a specificity of 62%. TCFA and plaque rupture were detected more frequently in patients with ACS compared with SAP. Elevated RDW was positively the predictive value of the association between plaque vulnerability.

High red blood cell distribution width is associated with the mortality of critically ill cancer patients: A propensity-matching study.

The red blood cell distribution width (RDW) is related to the mortality of patients with malignant tumors, but the relationship between RDW and the prognosis of cancer patients in the intensive care unit (ICU) has not been fully clarified. To investigate the role of RDW in predicting the prognosis of critically ill cancer patients. A propensity score matching (PSM) study was conducted using data from adult patients with cancer, admitted to the ICU from the Intensive Care Medical Information Market IV (MIMIC-IV, v. 1.4) database. The correlation between RDW and ICU all-cause mortality was evaluated using a logistic regression model; stratification factors were considered. Additionally, a receiver operating characteristic (ROC) curve analysis was performed to compare the prognostic values of various blood biomarkers. Overall, 4836 cancer patients were included. The optimal critical RDW value was 15%. The RDW levels were independently correlated with ICU mortality in critically ill cancer patients, with odds ratios (ORs) of 1.56 (1.12-2.18) in the original cohort, 1.64 (1.27-2.12) in the imputation cohort, 1.65 (1.22-2.24) in the matched cohort, and 1.55 (1.19-2.03) in the weighted cohort. The forecasted performance of RDW is better than other blood biomarkers with an area under the ROC curve (AUC) of 0.637 (0.591-0.683). The RDW has a prognostic value in critically ill cancer patients and a high RDW is independently associated with high mortality.

Influence of Red Blood Cell Distribution Width on All-Cause Death in Critical Diabetic Patients with Acute Kidney Injury.

ObjectiveTo explore the relationship between red blood cell distribution width (RDW) and all-cause death in critical diabetic patients with acute kidney injury (AKI).MethodsThe clinical data of critical diabetic patients with AKI in MIMIC-III database were analyzed retrospectively. According to the survival status of 28-day after AKI and levels of RDW, patients were divided into survival and death groups, high RDW (RDW > 15.3%) and low RDW groups (RDW ≤ 15.3%). Kaplan–Meier curves were used to compare the survival rates of diabetic patients with AKI in different RDW and AKI stages, and Cox regression analysis was used to evaluate the risk factors of 28-day all-cause death in critical diabetic patients with AKI.ResultsA total of 5200 patients with critical diabetic patients with AKI were included in this study with the male to female ratio of 1.53:1. The mean follow-up time was 24.97 ± 7.14 days, and the 28-day all-cause mortality was 17.9% (931/5200). Age, RDW, blood urea nitrogen, serum creatinine, lactic acid, proportion of AKI stage, sepsis and respiratory failure in the death group were higher than those in the survival group, while mean arterial pressure (MAP) and red blood cell count were lower than those in the survival group. Kaplan–Meier analysis showed that the 28-day survival rate of the high RDW group was significantly lower than that of the low RDW group (log-rank χ2 = 9.970, P = 0.002). Multivariate Cox regression analysis showed that advanced age (HR = 1.042, 95% CI = 1.021–1.063), decreased MAP (HR = 0.984, 95% CI = 0.969–0.998), stage 3 AKI (HR = 3.318, 95% CI = 1.598–6.890) and increased RDW (HR = 1.255, 95% CI = 1.123–1.403) were independent risk factors of 28-day all-cause death in critical diabetic patients with AKI (P < 0.05).ConclusionHigh level of RDW is an important risk factor of all-cause death in critical diabetic patients with AKI, and it may be used as a valuable index to classify the mortality.

Prognostic significance of pretreatment red blood cell distribution width in primary diffuse large B-cell lymphoma of the central nervous system for 3P medical approaches in multiple cohorts.

Predicting the clinical outcomes of primary diffuse large B-cell lymphoma of the central nervous system (PCNS-DLBCL) to methotrexate-based combination immunochemotherapy treatment in advance and therefore administering the tailored treatment to the individual is consistent with the principle of predictive, preventive, and personalized medicine (PPPM/3PM). The red blood cell distribution width (RDW) has been reported to be associated with the clinical outcomes of multiple cancer. However, its prognostic role in PCNS-DLBCL is yet to be evaluated. Therefore, we aimed to effectively stratify PCNS-DLBCL patients with different prognosis in advance and early identify the patients who were appropriate to methotrexate-based combination immunochemotherapy based on the pretreatment level of RDW and a clinical prognostic model. A prospective-retrospective, multi-cohort study was conducted from 2010 to 2020. We evaluated RDW in 179 patients (retrospective discovery cohorts of Huashan Center and Renji Center and prospective validation cohort of Cancer Center) with PCNS-DLBCL treated with methotrexate-based combination immunochemotherapy. A generalized additive model with locally estimated scatterplot smoothing was used to identify the relationship between pretreatment RDW levels and clinical outcomes. The high vs low risk of RDW combined with MSKCC score was determined by a minimal P-value approach. The clinical outcomes in different groups were then investigated. The pretreatment RDW showed a U-shaped relationship with the risk of overall survival (OS, P = 0.047). The low RDW (< 12.6) and high RDW (> 13.4) groups showed significantly worse OS (P < 0.05) and progression-free survival (PFS; P < 0.05) than the median group (13.4 > RDW > 12.6) in the discovery and validation cohort, respectively. RDW could predict the clinical outcomes successfully. In the discovery cohort, RDW achieved the area under the receiver operating characteristic curve (AUC) of 0.9206 in predicting the clinical outcomes, and the predictive value (AUC = 0.7177) of RDW was verified in the validation cohort. In addition, RDW combined with MSKCC predictive model can distinguish clinical outcomes with the AUC of 0.8348 for OS and 0.8125 for PFS. Compared with the RDW and MSKCC prognosis variables, the RDW combined with MSKCC scores better identified a subgroup of patients with favorable long-term survival in the validation cohort (P < 0.001). RDW combined MSKCC score remained to be independently associated with clinical outcomes by multivariable analysis. Based on the pretreatment RDW and MSKCC scores, a novel predictive tool was established to stratify PCNS-DLBCL patients with different prognosis effectively. The predictive model developed accordingly is promising to judge the response of PCNS-DLBCL to methotrexate-based combination immunochemotherapy treatment. Thus, hematologists and oncologists could tailor and adjust therapeutic modalities by monitoring RDW in a prospective rather than the reactive manner, which could save medical expenditures and is a key concept in 3PM. In brief, RDW combined with MSKCC model could serve as an important tool for predicting the response to different treatment and the clinical outcomes for PCNS-DLBCL, which could conform with the principles of predictive, preventive, and personalized medicine. The online version contains supplementary material available at 10.1007/s13167-022-00290-5.