Obstructive sleep apnea (OSA) is prevalent among critically ill patients and associated with increased mortality. This study investigates the red blood cell distribution width (RDW)-to-peripheral oxygen saturation ratio (RSR) as a predictor of all-cause mortality in critically ill OSA patients using the MIMIC-IV database.

We extracted clinical data from 3237 critically ill OSA patients in MIMIC-IV (version 3.1). The Boruta algorithm was employed for feature selection, and patients were stratified into quartiles based on RSR values. Primary and secondary outcomes were all-cause mortality at 365-day and 30-day, respectively. Kaplan-Meier survival analysis, restricted cubic splines (RCS), and Cox regression were applied to analyze RSR's relationship with outcomes. ROC curves compared RSR with classical prognostic scores, and Delong test assessed AUC differences.

Higher RSR levels were associated with increased 365-day and 30-day mortality (Kaplan-Meier, log-rank P < 0.01). Cox regression confirmed higher mortality risk in the highest RSR quartile. RCS analysis revealed an S-shaped relationship, with inflection points at 19.89 for both outcomes. Below the inflection point, higher RSR levels increased 30-day mortality risk by 30.68 % (HR 1.31, 95 %CI: 1.23-1.38) and 365-day mortality by 35.30 % (HR 1.35, 95 %CI: 1.30-1.41). For 365-day mortality, RSR outperformed SOFA and OASIS (Delong test P < 0.01), and was comparable to SAPS II, APS III, and Charlson scores (Delong test P > 0.05).

RSR significantly associates with all-cause mortality in critically ill OSA patients, particularly those with elevated RSR, serving as a promising prognostic indicator for short- and long-term mortality risk assessment.

This study aimed to investigate the potential association between the hemoglobin-to-red blood cell distribution width ratio (HRR) and cognitive impairment in a representative sample of elderly Americans. Data from National Health and Nutrition Examination Survey 1999 to 2002 were utilized to analyze demographic information, cognitive function assessments, and laboratory data. Binary Logistic regression was conducted to analyze the associations. Subgroup analyses and sensitivity analyses were performed simultaneously. In the univariable logistic regression analysis, the odds ratio was 0.13 (95% confidence interval [CI]: 0.06-0.25; P < .001). After adjusting for all covariates in the multivariable regression analysis, the odds ratio was 0.25 (95% CI: 0.11-0.6; P = .002). Compared to the lowest HRR group, the higher HRR groups had significantly lower odds of cognitive impairment: Q2 (OR = 0.6, 95% CI: 0.42-0.84, P = .003), Q3 (OR = 0.54, 95% CI: 0.37-0.77, P = .001), and Q4 (OR = 0.56, 95% CI: 0.38-0.82, P = .003). Subgroup and sensitivity results were stable and consistent. These results suggest that higher levels of HRR may be associated with a lower risk of cognitive impairment in elderly Americans.

Consider that inflammatory factors are associated with short-term mortality in patients with acute myocardial infarction (AMI). In this retrospective analysis of 2,784 AMI patients from the Medical Information Mart for Intensive Care-IV database, we evaluated the impact of inflammatory markers on in-hospital mortality and predicted 30-day and 90-day outcomes. Patients were divided into groups based on in-hospital survival (n = 2,364) and mortality (n = 420). Analysis of initial hospital admission laboratory data, including inflammatory factors, revealed these factors as independent predictors of in-hospital mortality (Q4 of RDW: OR 1.96, NLR: OR 1.63, SII: OR 1.85, and SIRI: OR 2.23, all P < 0.05). Cox proportional hazards models confirmed their significance for predicting 30-day (Q4 of NLR: OR 1.83, SII: OR 1.86, and SIRI: OR 2.01, all P < 0.05) and 90-day mortality (Q4 of RDW: OR 1.46, NLR: OR 1.69, SII: OR 1.73, and SIRI: OR 1.72, all P < 0.05). Increasing levels of inflammatory markers correlated with higher odds and hazard ratios, as illustrated by Restricted Cubic Spline curves. Kaplan-Meier survival analysis showed better survival rates with lower inflammatory marker levels. Receiver operating characteristic curves demonstrated good predictive performance of individual inflammatory factors, with a new composite marker showing the highest predictive ability (AUC = 0.720). This study underscores the association of inflammatory factors with both hospital and short-term mortality in AMI patients.

Red cell distribution width (RDW) has emerged as a novel biomarker associated with adverse outcomes in patients with cardiovascular disease (CVD). We aimed to determine the prognostic significance of pre-procedural RDW levels on one-year all-cause mortality (ACM) following transcatheter aortic valve replacement (TAVR) by conducting a systematic review and meta-analysis due to limited evidence on the impact of RDW levels in TAVR patients.

We systematically reviewed articles on pre-procedural RDW and one-year ACM post-TAVR until February 2024 using PubMed and Google Scholar. Binary random effects model was used for pooled adjusted odds ratio (aOR), with 95 % confidence intervals (CI) and I2 statistics for heterogeneity.

A total of 7 studies with 3273 patients aged between 70-90 years and 45 % males were analyzed. High pre-procedural RDW was an independent predictor of one-year ACM (aOR 1.60, 95%CI 1.13-2.27, p < 0.01). This association is even more prominent when aged > 80 years vs. <80 years (aOR 1.64, 95 % CI 1.17-2.31, p < 0.01 vs. aOR 1.46, 95 % CI 0.49-4.32, p < 0.01). Leave-one-out sensitivity analysis validated the robustness of our meta-analysis.

Our study indicated that elevated baseline RDW is an independent predictor of one-year ACM post-TAVR. Further studies are needed to validate the importance of RDW as a marker of post-TAVR outcomes.

Stroke is a leading cause of mortality and disability globally. Among ischemic stroke patients, those with moderate to severe consciousness disorders constitute a particularly high-risk subgroup. Accurate predictive models are essential for guiding clinical decisions in this population. This study aimed to develop and validate an automated scoring system using machine learning algorithms for predicting short-term (3- and 7-day) and relatively long-term (30- and 90-day) mortality in this population.

This retrospective observational study utilized data from the MIMIC-IV database, including 648 ischemic stroke patients with Glasgow Coma Scale (GCS) scores ≤12, admitted to the ICU between 2008 and 2019. Patients with GCS scores indicating speech dysfunction but clear consciousness were excluded. A total of 47 candidate variables were evaluated, and the top six predictors for each mortality model were identified using the AutoScore framework. Model performance was assessed using the area under the curve (AUC) from receiver operating characteristic (ROC) analyses.

The median age of the cohort was 76.8 years (IQR, 64.97-86.34), with mortality rates of 8.02% at 3 days, 18.67% at 7 days, 33.49% at 30 days, and 38.89% at 90 days. The AUCs for the test cohort's 3-, 7-, 30-, and 90-day mortality prediction models were 0.698, 0.678, 0.724, and 0.730, respectively.

We developed and validated a novel machine learning-based scoring tool that effectively predicts both short-term and relatively long-term mortality in ischemic stroke patients with moderate to severe consciousness disorders. This tool has the potential to enhance clinical decision-making and resource allocation for these patients in the ICU.

Myelofibrosis (MF) is often characterized by a multifactorial anemia determined, in part, by bone marrow (BM) fibrosis, extramedullary erythropoiesis and splenomegaly. Ruxolitinib (RUX) is the first-in-class janus kinase 2 (JAK2) inhibitor approved for treatment of MF, proved to reduce spleen volume and decrease symptom burden. The red cell distribution width (RDW) is the measure of erythrocyte volume variability (anisocytosis). RDW has been recognized as a marker of clinical and subclinical systemic inflammation, and its elevation has also been associated with poor outcome in a wide spectrum of benign disorders and in different types of neoplasms.

We retrospectively evaluated RDW in a single-center series of 200 consecutive patients with primary and secondary MF at RUX treatment initiation and examined any possible correlation with adverse MF features or drug-related anemia and any prognostic impact.

We suggested 20.5% as the optimal cutoff point in RDW values at start of RUX to dichotomize patients in receiver operating characteristic (ROC) analysis for spleen response and for survival. Higher RDW values at RUX start were associated with clinical and laboratory features of an aggressive MF phenotype. Lower spleen response (p < 0.001) and greater odds of drug-related anemia at 3 (p = 0.006) and 6 months (p < 0.001) were also seen in patients with higher RDW. Both increased RDW (considered as a continuous variable) and RDW ≥ 20.5% were associated with shorter overall survival (OS) from RUX initiation in univariate and multivariate analysis: HR 1.25 (95% confidence interval [CI], 1.12-1.40) (p < 0.001) and HR 3.01 (95% CI 1.81-4.99) (p < 0.001), respectively. RDW ≥ 20.5% at RUX start seems to possibly improve patients' sub-stratification along with anemia and conventional prognostic scoring systems.

RDW at RUX start might represent a good indirect measure of MF features and might have prognostic significance for RUX-treated patients affected by MF, aiding in the rapid detection of patients with poor prognosis.

As red blood cell distribution width (RDW) and albumin have been shown to be independent predictors of mortality from various diseases, this study aimed to investigate the effect of the RDW to albumin ratio (RA) as an independent predictor of the prognosis of patients admitted to the coronary care unit (CCU).

To use the RDW and albumin level to predict the prognosis of patients in the CCU.

Data were obtained from the Medical Information Mart Intensive Care III database. The primary outcome was 365-day all-cause mortality, whereas the secondary outcomes were 30- and 90-day all-cause mortality, hospital length of stay (LOS), and CCU LOS. Cox proportional hazards regression model, propensity score matching, and receiver operating characteristic curve analyses were used.

The hazard ratio (95% confidence interval) of the upper tertile (RA > 4.66) was 1.62 (1.29 to 2.03) when compared with the reference (RA < 3.84) in 365-day all-cause mortality. This trend persisted after adjusting for demographic and clinical variables in the propensity score-matching analysis. Similar trends were observed for the secondary outcomes of hospital and CCU LOS. Receiver operating characteristic curve analysis was performed by combining the RA and sequential organ failure assessment (SOFA) scores, and the C-statistic was higher than that of the SOFA scores (0.733 vs 0.702, P < 0.001).

RA is an independent prognostic factor in patients admitted to the CCU. RA combined with the SOFA score can improve the predictive ability of the SOFA score. However, our results should be verified in future prospective studies.

Several studies were performed to evaluate the relationship between CBC and patients with diabetes mellitus (DM). In this review, we discussed the prognostic value of CBC parameters in DM patients.

English literature was searched and retrieved from the Google Scholar search engine and PubMed database (1980-2024). "Diabetes mellitus," "Blood cell count," "Mean platelet volume," "Leukocytes," and "Inflammation" were used as keywords.

DM increases vascular inflammation and oxidative stress, while vascular inflammation affects erythropoiesis and red blood cell deformation, thus increasing red cell distribution width (RDW). Mean platelet volume (MPV) is another useful prognostic biomarker for DM patients. Additionally, elevated neutrophil-lymphocyte ratio (NLR) levels are associated with poor glycemic control in T2DM patients, so it can be used as a screening tool in diabetic follow-up.

RDW can be used as a valuable independent biomarker to assess the prognosis of patients with DM. MPV can also be used as a noninvasive, widely available, and low-cost marker as a key factor as well as a Prognostic/diagnostic biomarker that could be used for DM patients. Total white blood cell count, NLR, Mean platelet volume lymphocyte ratio (MPVLR), and monocyte to high-density lipoprotein ratio (MHR) are valuable biomarkers in predicting DM.

Premature ventricular contraction (PVC) is characterized by early repolarization of the myocardium originating from Purkinje fibers. PVC may occur in individuals who are otherwise healthy. However, it may be associated with some pathological conditions. In this research the association between hematological factors and PVC was studied. In this study, 9,035 participants were enrolled in the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study. The association of hematological factors with PVC was evaluated using different machine learning (ML) algorithms, including logistic regression (LR), C5.0, and boosting decision tree (DT). The dataset was divided into training and test, and each model's performance was appraised on the test dataset. All data analyses used SPSS version 26 and SPSS Modeler 10. The results show that the Boosting DT was the most effective algorithm. Boosting DT had an accuracy of 98.13% and 96.92% for males and females respectively. According to the models, RDW and PLT were the most significant hematological factors for both males and females. WBC, PDW, and HCT for males and RBC, MCV, and MXD for females were also important. Some hematological factors associated with PVC were found using ML models. Further studies are needed to confirm these results in other populations, considering the novelty of the exploration of the relationship between hematological parameters and PVC.

BackgroundProsthetic heart valve thrombosis (PHVT) is a serious and potentially life-threatening complication that affects patients with mechanical heart valves. Timely and precise prediction of PHVT is essential for prompt intervention. This study aims to assess the association between the ratio of red blood cell distribution width (RDW) and platelet (PLT) count with PHVT.MethodsWe conducted a retrospective analysis of 297 transesophageal echocardiography examinations performed between January 2007 and October 2022 on patients with mechanical mitral prosthetic valves. This cohort included 161 patients diagnosed with PHVT and 136 patients with functional prosthetic valves.ResultsPatients with PHVT were, on average, older than those with normofunctional valves (56 vs 53 years, p = .046). Univariable analysis indicated that advanced age, heart failure (HF), chronic renal failure, COPD, reduced LVEF, ineffective anticoagulation, elevated D-dimer levels, and an elevated RDW-to-PLT ratio were associated with PHVT. The multivariable logistic regression analysis identified elevated RDW-to-PLT ratio (OR: 1.278, 95% CI: 1.142-1.327, p = .001), ineffective anticoagulation, HF, and D-dimer were independently associated with PHVT. The ROC curve analysis demonstrated that the RDW-to-PLT ratio exhibited moderate diagnostic performance, with a cut-off value of 0.065, sensitivity of 65%, and specificity of 66%.ConclusionThis is the first study demonstrating that the higher RDW-to-PLT ratio is associated with PHVT. Further studies are necessary to validate these findings in broader clinical settings.

Systemic sclerosis (SSc) is an immuno-inflammatory rheumatic disease that can affect both the skin and internal organs through fibrosis. Pulmonary arterial hypertension (PAH) is one of the most severe secondary complications. Structural changes in the vascular bed lead to increased pressures in the pulmonary circulation, severely impacting the right heart and significantly affecting mortality. The gold standard for diagnosing PAH is right heart catheterization (RHC), an invasive method for measuring cardiac pressure. Due to the high risk of complications, procedural difficulties, and significant costs, non-invasive screening for SSc-PAH has garnered significant interest. Echocardiography is likely the most important screening tool, providing structural and functional information about the right heart through measurements that have proven their utility over time. In addition to imagistic investigations, serum biomarkers aid in identifying patients at risk for PAH and can provide prognostic information. Currently, well-known serum biomarkers (NT-proBNP, uric acid) are used in screening; however, in recent years, researchers have highlighted new biomarkers that can enhance diagnostic accuracy for SSc patients. Pulmonary involvement can also be assessed through pulmonary function tests, which, using established thresholds, can provide additional information and help select patients requiring RHC. In conclusion, given the invasiveness of RHC, non-invasive screening methods are particularly important for SSc patients.

Background: Chronic kidney disease (CKD) and heart failure (HF) are interrelated conditions that exacerbate each other through mechanisms like fluid retention, neurohormonal activation, and inflammation. Red blood cell distribution width (RDW), a measure of red blood cell size variability, has emerged as a potential prognostic marker in HF. This study aimed to assess the prognostic value of RDW in HF patients, both with and without CKD, focusing on all-cause mortality and HF rehospitalizations. Methods: This observational retrospective study included 171 patients hospitalized for acute decompensated HF in a tertiary university hospital in Greece. Patients were divided into two groups based on their estimated glomerular filtration rate (eGFR), as Group 1 (eGFR < 60 mL/min/1.73 m2) and Group 2 (eGFR ≥ 60 mL/min/1.73 m2). RDW was measured upon admission, and outcomes of interest were all-cause mortality and HF rehospitalizations over a median follow-up period of 6.1 months. Statistical analyses included Kaplan-Meier survival curves, whereas the discrimination traits of RDW were evaluated by constructing receiver operating characteristic (ROC) curves and by calculating the area under the ROC curve (AUC). A p-value <0.05 was indicative of a statistically important result. Results: Patients in Group 1 (eGFR < 60 mL/min/1.73 m2) were older (80 (73-86) vs. 75 (62-83)) and manifested higher median RDW values (16.6 (15.0-18.8) vs. 15.6 (14.1-17.8)) and received less frequent (57.9% vs. 75%) mineralocorticoid receptor antagonists (MRAs) as compared to those in Group 2 (eGFR ≥ 60 mL/min/1.73 m2). RDW demonstrated better prognostic value in predicting combined mortality and rehospitalization outcomes in Group 2 patients (area under the curve: 0.70; 95% CI (0.62-0.80)) compared to those in Group 1 (area under the curve: 0.53; 95% CI (0.35-0.72)). No statistically significant differences (p = 0.579) were observed in survival between patients with high (≥15%) and low (<15%) RDW values in the overall population, though trends favored worse outcomes with elevated RDW. Similarly, no significant differences (p = 0.374) were observed in survival between patients with high (Group 2) and low (Group 1) eGFR values. Conclusions: RDW appears to be a meaningful prognostic biomarker for HF patients, particularly in those without CKD. Further multicenter studies are needed to validate its clinical utility and potential for guiding treatment in this high-risk population.

The red cell distribution width (RDW) has been investigated as a predictive factor for complications and mortality in several critical illnesses, including cardiovascular diseases.

The current study aimed to assess the relationship of RDW with severity and in-hospital mortality in patients with ST-elevation myocardial infarction (STEMI).

A prospective hospital-based observational study was conducted at a tertiary care institute of Northern India. Fifty patients of STEMI who underwent coronary angiography/primary coronary intervention were enrolled as cases and equal number of age- and sex-matched individuals not suffering from any cardiac disease were taken as controls. The RDW admission values of the cases were compared with that of controls. Red cell distribution width values were also compared across the outcome groups among cases.

The mean RDW-SD of the cases was 49.0 ± 4.6 fL whereas it was 44.7 ± 3.5 fL for controls, the difference being statistically significant (p < 0.001). Among the total patients, 4 (8.0%) expired during hospital stay and the rest 46 (92.0%) were discharged alive. The mean RDW-SD of expired patients was significantly higher than that of patients who remained alive (p = 0.002). There was a significant positive correlation between RDW and global registry of acute coronary events (GRACE) score (p = 0.02) and a significant negative correlation between RDW and left ventricular ejection fraction (LVEF) (p = 0.04). Area under the receiver operating characteristics (ROC) curve for RDW was higher than that of LVEF, showing superiority of RDW to LVEF in predicting mortality among the STEMI patients.

Red cell distribution width may serve as a promising prognostic biomarker and tool for risk stratification in patients with STEMI.

Raval R, Gupta S, Gupta N, Bashar MA. Red Cell Distribution Width as a Marker of Disease Severity and In-hospital Mortality in Patients with ST-segment Elevation Myocardial Infarction. Indian J Crit Care Med 2024;28(12):1101-1106.

Previous reports have indicated an association between red blood cell distribution width (RDW) and cardiovascular disease. However, few relevant studies exist on the relationship between RDW and aortic valve calcification (AVC). Explore the correlation and predictive value of RDW concerning the occurrence and severity of aortic valve calcification.

Blood examination results were analyzed from 1720 hospitalized patients at the Second Affiliated Hospital of Soochow University. Logistic regression analysis and the Cox proportional hazards model examined the relationship between RDW and the incidence and severity of AVC.

The RDW value in cases with AVC was significantly higher than in the control group. Red cell distribution width-standard deviation (RDW-SD) and red cell distribution width-coefficient of variation (RDW-CV) increased with calcification severity. Both RDW-SD and RDW-CV demonstrated high predictive values for the occurrence of aortic valve calcification.

Red blood cell distribution width significantly correlated with the occurrence and severity of aortic valve calcification.

The prognostic significance of red cell distribution width-SD (RDW-SD) as a promising inflammatory biomarker in individuals with non-ischemic dilated cardiomyopathy (DCM) and varying glycemic status remains unexplored.

Patients hospitalized for DCM in Fuwai Hospital from 2006 to 2021 were retrospectively included. The primary outcome encompassed all-cause mortality and heart transplantations. The multivariable Cox regression was used to evaluate the association between RDW-SD and outcomes in the overall DCM population, and among patients with normoglycemia (NG), pre-diabetes mellitus (pre-DM) and DM.

Among 1,102 patients with DCM, the median age was 48 years and 23.5% were women. In the overall DCM cohort, the RDW-SD was independently associated with the primary outcome (adjusted HR 1.29, 95% CI 1.15 to 1.45, p<0.001, per SD increase). When stratifying patients with glycemic status, the RDW-SD exhibited an independent association with outcome in patients with DCM with pre-DM and DM, the adjusted HRs were 1.48 (95% CI 1.21 to 1.79, p<0.001) and 1.30 (95% CI 1.06 to 1.60, p=0.011) per SD increase, respectively. However, in patients with DCM and NG, the prognostic value of RDW-SD was insignificant, with an adjusted HR of 1.20 per SD increase (95% CI: 0.97 to 1.48, p=0.101).

RDW-SD was independently associated with the outcome in patients with DCM with pre-DM and DM, suggesting potential individualized therapeutic targets for this subset of patients with DCM.

Inflammation is a complex physiological process that plays a pivotal role in many if not all pathological conditions, including infectious as well as inflammatory diseases, like periodontitis and autoimmune disorders. Inflammatory response to periodontal biofilms and tissue destruction in periodontitis is associated with the release of inflammatory mediators. Chronic inflammation can promote the development of cancer. Persistence of inflammatory mediators plays a crucial role in this process. Quantification and monitoring of the severity of inflammation in relation to cancer is essential. Periodontitis is mainly quantified based on the severity and extent of attachment loss and/or pocket probing depth, in addition with bleeding on probing. In recent years, studies started to investigate inflammation indices in association with periodontal diseases. To date, only few reviews have been published focusing on the relationship between blood cell count, inflammation indices, and periodontitis. This review presents a comprehensive overview of different systemic inflammation indices, their methods of measurement, and the clinical applications in relation to periodontitis and cancer. This review outlines the physiological basis of inflammation and the underlying cellular and molecular mechanisms of the parameters described. Key inflammation indices are commonly utilized in periodontology such as the neutrophil to lymphocyte ratio. Inflammation indices like the platelet to lymphocyte ratio, platelet distribution width, plateletcrit, red blood cell distribution width, lymphocyte to monocyte ratio, delta neutrophil index, and the systemic immune inflammation index are also used in hospital settings and will be discussed. The clinical roles and limitations, relationship to systemic diseases as well as their association to periodontitis and treatment response are described.

The red blood cell distribution width (RDW) and neutrophil to lymphocyte ratio (NLR) have been linked to poor prognosis in patients with ischaemic stroke. However, no study has yet evaluated the prognostic role of RDW and NLR, or their combined effect on reperfusion in patients with endovascularly-treated acute ischaemic stroke. This study therefore aimed to analyse the impact of RDW and NLR on poor functional outcomes and failed reperfusion following endovascular treatment in patients with acute anterior circulation ischaemic stroke.

A total of 275 patients with acute anterior circulation ischaemic stroke treated endovascularly between 2015 and 2018 were enrolled in this study. The relationships between RDW, NLR, and poor outcomes were analysed using univariate and multivariate logistic regression models and receiver operating characteristic (ROC) curve analysis. The Youden Index was applied to determine the cut-off value.

Multivariate logistic regression analysis identified RDW (p = 0.015) and NLR (p = 0.015) as independent predictors of mortality at the 3rd month. ROC curve analysis of RDW revealed a cutoff value of 14.25 (p = 0.009) for poor clinical outcomes (modified Rankin scale [mRS] 3-6). Similarly, a cutoff value of 14.25 was found for mortality prediction (p = 0.003). The cutoff value for poor clinical outcome (mRS 3-6) in the NLR was determined as 5.93 (p = 0.003), whereas the cutoff value for mortality was set at 5.17 (p = 0.028). RDW also predicted failed reperfusion, with a cutoff value of 17.75 (p = 0.048).

High RDW and NLR upon admission were identified as independent indicators of mortality in endovascularly treated acute anterior circulation ischemic stroke patients. Furthermore, the RDW could potentially predict failed reperfusion.

Introduction: Upper gastrointestinal bleeding (UGIB) is among the most common causes of morbidity and mortality worldwide, accounting for major resource allocation and increasing incidence. This study aimed to evaluate the severity of non-variceal bleeding in patients at risk of bleeding through the use of NSAIDs, oral anticoagulants, and antiplatelet therapy. Material and Method: The study included 296 patients admitted in the Gastroenterology Department of the Municipal County Emergency University Hospital, Timisoara, between 01.01.2018 and 01.04.2020, and diagnosed via gastroscopy with non-variceal gastrointestinal bleeding. The patients were divided among four groups based on their use of different drugs known to induce UGIB, i.e., aspirin and clopidogrel, NOACs, NSAIDs, and anti-vitamin K drugs, respectively. Statistical analyses were performed based on ANOVA one-way tests for continuous variables and Chi-square tests for categorical variables with pairwise comparisons based on Bonferroni adjusted significance tests. Results: The results showed several parameters having statistical significance among the different groups of patients. Patients on NOACs had statistically significant lower hemoglobin levels, lower hematocrit values, lower erythrocytes, lower RDW and higher fibrinogen levels compared to patients on VKA. Discussion: Surprisingly, the results from our study suggest that the use of NOACs was associated with a higher risk of bleeding when compared to VKA, which differs from the existing literature. Conclusions: One of the important factors causing upper non-variceal bleeding can be iatrogenic, either due to antiplatelet drugs or anticoagulants, to which NSAID treatment is additionally associated for various reasons. In our study, the use of NOACs seemed to have a more severe bleeding spectrum with higher morbidity compared to VKA.

Apart from troponins, various additional biomarkers that indicate myocardial injury, inflammation, thrombosis, and other routes are being studied to improve the treatment of acute coronary syndrome (ACS). Myeloid activity has been found to be elevated in ACS, and this has sparked a great deal of interest in hematological parameters since they might offer independent insights into pathophysiology and risk assessment.

The purpose of this study was to evaluate the hematological markers' prognostic ability for all intrahospital causes of mortality in individuals with an ACS diagnosis.

A long-term cohort study based at an institution was done. At Jimma Medical Center, patients with an ACS diagnosis were progressively brought in between May 1, 2022, and October 31, 2023. Complete blood counts (CBC) and biochemical analysis were carried out. Multilevel mixed effect logistic regression was computed to evaluate the predictive competence of hematological indices on intrahospital mortality. Prognostic performance of hematological parameters was done using the ROC curve analysis.

A total of 110 patients were included, of which 99 (90 %) were diagnosed ST-elevation myocardial infarction, and 74 (67.3 %) were men. The mean age was 56 (±11) years. RDW, platelet count, and MCV were independently associated with intrahospital mortality (AOR = 1.20 with P < 0.001, AOR = 0.995 with P < 0.03, and AOR = 0.897 with P < 0.025, respectively). The predictive power of RDW-SD for intrahospital mortality was evaluated by ROC analysis, the AUC value were 0.737 (95 % CI 0.669-0.805).

This study found that red cell distribution width, mean corpuscular volume, and platelets were predictive factors for intrahospital death in patients with ACS. Thus, it is possible to predict the prognosis of an ACS patient using hematological data.

This study aimed to develop and validate distinct nomogram models for assessing CVD risk in individuals with prediabetes and diabetes. In a cross-sectional study design, we examined data from 2294 prediabetes and 1037 diabetics who participated in the National Health and Nutrition Examination Survey, which was conducted in the United States of America between 2007 and 2018. The dataset was randomly divided into training and validation cohorts at a ratio of 0.75-0.25. The Boruta feature selection method was used in the training cohort to identify optimal predictors for CVD diagnosis. A web-based dynamic nomogram was developed using the selected features, which were validated in the validation cohort. The Hosmer-Lemeshow test was performed to assess the nomogram's stability and performance. Receiver operating characteristics and calibration curves were used to assess the effectiveness of the nomogram. The clinical applicability of the nomogram was evaluated using decision curve analysis and clinical impact curves. In the prediabetes cohort, the CVD risk prediction nomogram included nine risk factors: age, smoking status, platelet/lymphocyte ratio, platelet count, white blood cell count, red cell distribution width, lactate dehydrogenase level, sleep disorder, and hypertension. In the diabetes cohort, the CVD risk prediction nomogram included eleven risk factors: age, material status, smoking status, systemic inflammatory response index, neutrophil-to-lymphocyte ratio, red cell distribution width, lactate dehydrogenase, high-density lipoprotein cholesterol, sleep disorder, hypertension, and physical activity. The nomogram models developed in this study have good predictive and discriminant utility for predicting CVD risk in patients with prediabetes and diabetes.

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

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

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

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

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

Hypertension has emerged as a significant public health concern, ranking among the leading causes of mortality in low- and middle-income countries. Moreover, it is closely associated with structural and functional alterations in hematopoietic cells. Therefore, this study aimed to evaluate the hematological parameters of hypertensive patients in Northeast Ethiopia.

A comparative cross-sectional study was conducted from January to March 2023, involving 248 participants. This included 124 hypertensive patients and 124 apparently healthy controls selected using a systematic random sampling technique. Socio-demographic and clinical data were collected through a structured questionnaire, and anthropometric measurements were obtained following established guidelines. Ethical approval was obtained from the Ethical Review Committee of the College of Medicine and Health Sciences at Wollo University. After obtaining informed consent, approximately 5 ml of venous blood was drawn from each participant for complete blood count and fasting blood glucose analysis, performed using the Mindray BC-3000 Plus hematology analyzer and the DIRUI CS-T240 automated clinical chemistry analyzer, respectively. Data analysis involved independent t-tests, Mann-Whitney U-tests, correlation tests, and logistic regression. A p-value of <0.05 was considered statistically significant.

The study found that white blood cell count, platelet count, platelet distribution width, red cell distribution width, and mean platelet volume were significantly higher in hypertensive patients compared to the control group (p < 0.05). Conversely, red blood cell count, hematocrit, and hemoglobin levels were significantly higher in the control group than in hypertensive patients (p < 0.05). Additionally, white blood cells and platelets exhibited a positive correlation with systolic and diastolic blood pressure (p < 0.05), while red blood cell count, hematocrit, and hemoglobin demonstrated a negative correlation with blood pressure indices and body mass index. Anemia was observed in 20.2 % of hypertensive patients. Notably, an abnormal body mass index (AOR: 3.5, 95 % CI: 1.3-9.6, p = 0.011) and high systolic blood pressure (AOR: 4.6, 95 % CI: 1.3-15.5, p = 0.013) were significantly associated with anemia among hypertensive patients.

This study identified significant differences in various hematological parameters between hypertensive patients and the control group. Routine assessments of hematological parameters should be considered to effectively manage hypertension-related complications in hypertensive patients.

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 30 days and 1 year. 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 30 days (hazard ratio 1.9, 95% CI 1.2-3.0, p < 0.01) and 1 year (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.

The red blood cell distribution width (RDW) is closely linked to the prognosis of multiple diseases. However, the connection between RDW and gastrointestinal bleeding (GIB) in stroke patients is not well understood. This study aimed to clarify this association.

This retrospective study involved 11,107 hospitalized patients from 208 hospitals in the United States, admitted between January 1, 2014, and December 31, 2015. We examined clinical data from 7,512 stroke patients in the intensive care unit (ICU). Multivariate logistic regression assessed the link between RDW and in-hospital GIB in stroke patients. Generalized additive model (GAM) and smooth curve fitting (penalty spline method) were utilized to explore the non-linear relationship between RDW and GIB in stroke patients. The inflection point was calculated using a recursive algorithm, and interactions between different variables were assessed through subgroup analyses.

Among the 11,107 screened stroke patients, 7,512 were included in the primary analysis, with 190 identified as having GIB. The participants had a mean age of (61.67 ± 12.42) years, and a median RDW of 13.9%. Multiple logistic analysis revealed RDW as a risk factor for in-hospital GIB in stroke patients (OR = 1.28, 95% CI 1.21, 1.36, p < 0.05). The relationship between RDW and in-hospital GIB in stroke patients was found to be non-linear. Additionally, the inflection point of RDW was 14.0%. When RDW was ≥14.0%, there was a positive association with the risk of GIB (OR: 1.24, 95% CI: 1.16, 1.33, p < 0.0001). Conversely, when RDW was <14.0%, this association was not significant (OR: 1.02, 95% CI: 0.97-1.07, p = 0.4040).

This study showed a substantial non-linear link between RDW and the risk of GIB in stroke patients. Maintaining the patient's RDW value below 14.0% could lower the risk of in-hospital GIB.

Numerous biomarkers are used as diagnostic, prognostic, and predictive indicators of myocardial ischemia. The most commonly used biomarkers are cardiac troponin I (Tn-I) and creatinine kinase (CK-MB). However, in developing nations, their availability in primary care settings is extremely limited. In such situations, easily available assays such as complete blood count (CBC) should be investigated as prognostic indicators in individuals with acute coronary syndrome (ACS).

This study aimed to compare the pattern of haematological indices and blood cell ratios of ACS patients compared with apparently healthy controls.

Patients diagnosed with ACS were recruited consecutively between 01 May 2022 and 31 October 2023 at Jimma Medical Center (JMC). Biochemical analyses and complete blood counts were performed. Analysis of variance was performed to compare the continuous variables. Spearman correlation coefficient tests were performed to correlate hematologic parameters with high sensitive troponin-I (hs-Tn-I) levels.

This study enrolled 220 participants (110 patients with ACS and age, sex, and place of residence matched 110 non-ACS controls). From ACS group 99 (90%) were diagnosed with ST-elevated myocardial infarction. The ACS group had a significantly greater mean platelet volume (MPV), white blood cell count, red cell distribution width (RDW), neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio. The RDW (r = 0.248, p = 0.009) and MPV (r = 0.245, p = 0.009) were significantly positively correlated with hs-Tn-I levels in the ACS group. MPV, RDW, and monocyte count were significantly higher in non-survivor ACS patients (p <0.05).

The significant differences observed in haematological parameters between individuals with ACS and healthy controls suggest the potential utility of these easily accessible and cost-effective diagnostics in predicting future morbidity and ACS risk. Incorporating these routine evaluations into clinical practice could enhance risk assessment and improve patient outcomes.

Accumulating clinical evidence has shown that diabetes mellitus (DM) is a serious risk factor for cardiovascular disorders and an important factor for adverse cardiovascular events.

To explore the value of the combined determination of the neutrophil-lymphocyte ratio (NLR) and red blood cell distribution width (RDW) in the early diagnosis and prognosis evaluation of DM complicated with heart failure (HF).

We retrospectively analyzed clinical data on 65 patients with type 2 DM (T2DM) complicated with HF (research group, Res) and 60 concurrent patients with uncomplicated T2DM (control group, Con) diagnosed at Zhejiang Provincial People's Hospital between January 2019 and December 2021. The NLR and RDW values were determined and comparatively analyzed, and their levels in T2DM + HF patients with different cardiac function grades were recorded. The receiver operating characteristic (ROC) curves were plotted to determine the NLR and RDW values (alone and in combination) for the early diagnosis of HF. The correlation between NLR and RDW with the presence or absence of cardiac events was also investigated.

Higher NLR and RDW levels were identified in the Res vs the Con groups (P < 0.05). The NLR and RDW increased gradually and synchronously with the deterioration of cardiac function in the Res group, with marked differences in their levels among patients with grade II, III, and IV HF (P < 0.05). ROC curve analysis revealed that NLR combined with RDW detection had an area under the curve of 0.915, a sensitivity of 76.9%, and a specificity of 100% for the early diagnosis of HF. Furthermore, HF patients with cardiac events showed higher NLR and RDW values compared with HF patients without cardiac events.

NLR and RDW were useful laboratory indicators for the early diagnosis of DM complicated with HF, and their joint detection was beneficial for improving diagnostic efficiency. Additionally, NLR and RDW values were directly proportional to patient outcomes.

Anemia in patients with heart failure (HF) is a growing concern. However, there has no bibliometric analysis in this area up to now. The aim of this study is to explore the status and trends in the field of anemia in HF through the bibliometric analysis, and to provide an outlook on future research.

We retrieved publications from the Web of Science Core Collection database, and the following data analysis and visualization tools were utilized to perform data processing, statistical computing and graphics generation: VOSviewer (v.1.6.18), CiteSpace (v.6.2 R5), Scimago Graphica (v.1.0.36), Biblimatrix and Microsoft Excel.

We identified a total of 3490 publications from 2004 to 2023. The publications in the field of anemia in HF are growing steadily. The United States, the United Kingdom, and Italy were the leading countries in this area. Stefan D Anker, as the most influential author, held the most total citations and publications. Harvard University was the most productive institution in this area. The European Journal of Heart Failure had published the most papers. Through the analysis of co-citations, 14 major clusters based on cluster labels were identified. Keyword analysis showed that mortality, outcome, prevalence, and risk were the most frequent keywords, and the potential research hotspots in the future will be intravenous iron and iron deficiency.

This study provides a comprehensive analysis of countries, authors, institutions, journals, co-cited references, and keywords in the field of anemia in HF through bibliometric analysis and data visualization. The status, hotspots and future trends in this field offer a reference for in-depth research. Further studies are necessary in the future to broaden the spectrum of research in this field, to evaluate comprehensive approaches to treating anemia in patients with HF, and to find rational targets for the management of anemia.

Contrast-induced nephropathy (CIN) is a form of acute kidney injury (AKI) occurring in patients undergoing cardiac catheterization, such as coronary angiography (CAG) or percutaneous coronary intervention (PCI). Although the conventional criterion for CIN detection involves a rise in creatinine levels within 72 h after contrast media injection, several limitations exist in this definition. Up to now, various meta-analyses have been undertaken to assess the accuracy of different biomarkers of CIN prediction. However, the existing body of research lacks a cohesive overview. To address this gap, a comprehensive umbrella review was necessary to consolidate and summarize the outcomes of prior meta-analyses. This umbrella study aimed to offer a current, evidence-based understanding of the prognostic value of biomarkers in predicting CIN.

A systematic search of international databases, including PubMed, Scopus, and Web of Science, from inception to December 12, 2023, was conducted to identify meta-analyses assessing biomarkers for CIN prediction. Our own meta-analysis was performed by extracting data from the included studies. Sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio were assessed using Meta-Disc and CMA softwares.

Twelve studies were ultimately included in the umbrella review. The results revealed that neutrophil gelatinase-associated lipocalin (NGAL) exhibited the highest area under the curve (AUC), followed by cystatin-C, urinary kidney injury molecule-1 (uKIM-1), and brain natriuretic peptide (BNP) with AUCs of 0.91, 0.89, 0.85, and 0.80, respectively. NGAL also demonstrated the highest positive likelihood ratio [effect size (ES): 6.02, 95% CI 3.86-9.40], followed by cystatin-C, uKIM-1, and BNP [ES: 4.35 (95% CI 2.85-6.65), 3.58 (95% CI 2.75-4.66), and 2.85 (95% CI 2.13-3.82), respectively]. uKIM-1 and cystatin-C had the lowest negative likelihood ratio, followed by NGAL and BNP [ES: 0.25 (95% CI 0.17-0.37), ES: 0.25 (95% CI 0.13-0.50), ES: 0.26 (95% CI 0.17-0.41), and ES: 0.39 (0.28-0.53) respectively]. NGAL emerged as the biomarker with the highest diagnostic odds ratio for CIN, followed by cystatin-C, uKIM-1, BNP, gamma-glutamyl transferase, hypoalbuminemia, contrast media volume to creatinine clearance ratio, preprocedural hyperglycemia, red cell distribution width (RDW), hyperuricemia, neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), high-sensitivity CRP, and low hematocrit (P < 0.05).

NGAL demonstrated superior diagnostic performance, exhibiting the highest AUC, positive likelihood ratio, and diagnostic odds ratio among biomarkers for CIN, followed by cystatin-C, and uKIM-1. These findings underscore the potential clinical utility of NGAL, cystatin-C and uKIM-1 in predicting and assessing CIN.

Previous research has indicated that higher red blood cell distribution width (RDW) increases the risk of coronary heart disease. However, no studies have established a link between RDW and coronary heart disease in the rheumatoid arthritis population. This research aims to explore the association between RDW and coronary heart disease among individuals with rheumatoid arthritis. We selected demographic data, laboratory data, lifestyle, and medical history from the National Health and Nutrition Examination Survey (NHANES), specifically including age, gender, poverty, RDW, race, BMI, diabetes, education, coronary heart disease, hypertension, cholesterol, smoking, and drinking. RDW and coronary heart disease were found to have a positive association in the rheumatoid arthritis population (OR = 1.145, 95%CI: 1.036-1.266, P = .0098), even after adjusting for factors such as age, gender, race, education level, smoking, and drinking. Subgroup analysis showed a stronger positive association, particularly in individuals aged 55-66 years, males, and the Hispanic White population with diabetes or hypercholesterolemia. There is a significant correlation between RDW and coronary heart disease among individuals with rheumatoid arthritis.

The inner layer of the synovial joints is the primary target of rheumatoid arthritis, or RA, a chronic systemic inflammatory disorder that is linked to increasing disability, early mortality, and economic hardships. The objective is to determine the association of red cell distribution width (RDW) and mean platelet volume (MPV) with disease activity in RA.

A retrospective study was conducted between July 2021 and January 2022 in the outpatient rheumatology clinics at Gulab Devi Teaching Hospital. In this study, 100 consecutive participants with a diagnosis of RA fulfilling the ACR/EULAR 2010 classification criteria were enrolled. Patient's records were reviewed for age, gender, length of illness, smoking status, treatment history, current treatment regimen, concomitant medications, rheumatoid factor (RF), anti-cyclic citrulline peptide (anti-CCP) antibodies, and extra-articular manifestations. Laboratory investigations were reviewed for complete blood count including RDW and MPV, ESR, CRP, liver, and renal functions. Disease activity score DAS 28-ESR was used to quantify disease activity. To determine the relationship between different parameters and the RDW and MPV, linear regression research was conducted.

According to the DAS28 score, 12% of patients were in remission, 9% had low, 34% had moderate, and 45% had high disease activity. DAS28 score was 5.01±1.72 (2.45-9.32) and RDW was 16.18±4.42. There was a strong positive correlation (r = 0.653) of RDW with the DAS28 score and it was statistically significant (p<0.001). MPV was 11.30±2.09 fL. There was a moderately positive correlation (r = 0.366) of MPV with the DAS28 score and it was statistically significant (p<0.001).

Conclusively, both RDW and MPV are positively related to disease activity in patients with RA. These can be used as a simple tool for assessing disease activity and guiding the treatment.

To explore the relationship between red blood cell distribution width to albumin (RDW/ALB) ratio (RAR) and the risk of rehospitalization and rehospitalization all-cause mortality in middle-aged and elderly survivors with sepsis based on an ambispective longitudinal cohort from the Intensive Care Unit (ICU).

Between 2017 and 2022, 455 adults who survived the first-episode severe sepsis without recurrence for at least 3 months were included in this study. All participants were followed up every 4 weeks for 12 months. According to the tertiles of RAR, participants were divided into three groups: low-level (≤0.36, n = 152), moderate-level (0.37-0.44, n = 152), and high-level (≥0.45, n = 151). The relationship between RAR and the risk of rehospitalization and rehospitalization all-cause mortality was evaluated.

Out of 455 participants, 156 experienced rehospitalization (34.3%), of which 44 (28.2%) died. Receiver operating characteristic (ROC) analysis showed that the RAR cut-off values for rehospitalization and rehospitalization all-cause mortality were 0.4251 and 0.4743, respectively. Multivariate Cox regression analysis indicated that the RAR was positively associated with rehospitalization (P = 0.011) and all-cause mortality (P = 0.006). Compared with the low-level, the high-level RAR presented a higher dose-dependent rehospitalization risk (P = 0.02) and rehospitalization all-cause mortality (P = 0.044). The stratified analysis displayed that compared to the low-level, with the RAR increasing by 1.0, the risk for rehospitalization increased 3.602-fold in aged <65 patients (P = 0.002) and 1.721-fold in female patients (P = 0.014). Kaplan-Meier survival analysis implied a significant positive association between the RAR and the cumulative incidence of rehospitalization and rehospitalization all-cause mortality (log-rank, all P < 0.001).

RAR has a reliable predictive value for the risk of rehospitalization and rehospitalization all-cause mortality in patients with sepsis. Consequently, monitoring RAR for at least 1 year after surviving sepsis in female patients aged <65 in clinical practice is critical.

Cardiovascular complications in patients undergoing thoracic surgery, which physicians have a limited ability to predict, are often unavoidable and resulting in adverse outcome. Cardiopulmonary exercise testing (CPET), the gold standard of cardiopulmonary function evaluation, has also been proved to be a preoperative risk assessment tool. Meanwhile, elevated red blood cell distribution width (RDW) has surged as a biochemical marker in the occurrence of cardiovascular disease. However, it is yet unclear the value of CPET combined with RDW in predicting cardiovascular complications after thoracic surgery. 50 patients with cardiovascular complications after thoracic surgery were collected as the case group, and 100 thoracic surgery patients were recruited as the control group, with the same gender, age ± 2 years old, and no postoperative complications. After admission, all patients underwent CPET and RDW inspection before surgery, and the results were recorded. The CPET parameter oxygen pulse (VO2/HR) and RDW of the case group were lower than those of the control group (P < 0.05), and the ventilation/carbon dioxide production (VE/VCO2 slope) was significantly higher than control group (P < 0.01). The biochemical parameters hemoglobin (Hb) and Glomerular filtration rate (GFR)) of the case group were lower than those of the control group (P < 0.05), the homocysteine (hCY), creatinine (Cr), operation time and blood loss of the case group were higher than those of the control group (P < 0.05). The RDW had a negative correlation with VO2 max in both overall and control group. The combination of VO2/kg and RDW had the highest diagnostic value in predicting cardiovascular complications. The combination of VO2/kg and RDW has predictive diagnostic value and is more suitable for predicting postoperative complications of thoracic surgery.

Red cell distribution width to albumin ratio (RAR) has been demonstrated to be associated with the risk of cardiovascular diseases. However, it is still unknown whether the RAR affects atrial fibrillation (AF). Therefore, this study aimed to investigate the association between RAR and AF in subjects hospitalized with coronary angiography.

A total of 2436 participants were retrospectively included. Red cell distribution width, albumin and other data were collected. AF was confirmed using 12-lead electrocardiogram (ECG) or 24-h Holter. All participants were divided into four groups according to the RAR values by quartile (Q1, Q2, Q3, Q4). Univariate and multivariate logistic regression were performed to examine the correlation between RAR and AF.

Among the 2436 participants, 227 (9.3%) AF cases were observed. The RDW and RAR were significantly higher in AF group than in non-AF group (all P < 0.001). Univariate logistic regression showed an positive association between RAR and AF (P < 0.001). In multivariate logistic regression, RAR was found to be an independent risk factor of AF after adjusting for confounding factors (OR:2.015, 95%CI:1.315-3.089, P = 0.001).

The present study indicated that elevated RAR level was independently correlated with increased risk of AF in subjects hospitalized with coronary angiography.

Red cell distribution width (RDW) is a strong prognostic marker in patients with heart failure (HF) and reduced ejection fraction and other conditions. However, very little is known about its prognostic significance in HF with preserved ejection fraction. We examined the relationship between RDW and outcomes and the effect of sacubitril/valsartan, compared with valsartan, on RDW and clinical outcomes in PARAGON-HF.

PARAGON-HF enrolled patients with a left ventricular ejection fraction of ≥45%, structural heart disease, and elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP). The primary endpoint was a composite of total HF hospitalizations and cardiovascular deaths. Median RDW at randomization was 14.1% (interquartile range 13.5-15.0%). Patients with higher RDW levels were more often men and had more comorbidity, a higher heart rate and NT-proBNP concentration, more advanced New York Heart Association class, and worse Kansas City Cardiomyopathy Questionnaire scores. There was a graded relationship between quartiles of RDW at randomization and the primary endpoint, with a significantly higher risk associated with increasing RDW, even after adjustment for NT-proBNP and other prognostic variables {Quartile 1, reference; Quartile 2, rate ratio 1.03 [95% confidence interval (CI) 0.83 to 1.28]; Quartile 3, 1.25 [1.01 to 1.54]; Quartile 4, 1.70 [1.39 to 2.08]}. This association was seen for each of the secondary outcomes, including cardiovascular and all-cause death. Compared with valsartan, sacubitril/valsartan reduced RDW at 48 weeks [mean change -0.09 (95% CI -0.15 to -0.02)]. The effect of sacubitril/valsartan vs. valsartan was not significantly modified by RDW levels at randomization.

RDW, a routinely available and inexpensive biomarker, provides incremental prognostic information when added to established predictors. Compared with valsartan, sacubitril/valsartan led to a small reduction in RDW.

In this paper, we are going to investigate the association between Hypertension (HTN) and routine hematologic indices in a cohort of Iranian adults. The data were obtained from a total population of 9704 who were aged 35-65 years, a prospective study was designed. The association between hematologic factors and HTN was assessed using logistic regression (LR) analysis and a decision tree (DT) algorithm. A total of 9704 complete datasets were analyzed in this cohort study (N = 3070 with HTN [female 62.47% and male 37.52%], N = 6634 without HTN [female 58.90% and male 41.09%]). Several variables were significantly different between the two groups, including age, smoking status, BMI, diabetes millitus, high sensitivity C-reactive protein (hs-CRP), uric acid, FBS, total cholesterol, HGB, LYM, WBC, PDW, RDW, RBC, sex, PLT, MCV, SBP, DBP, BUN, and HCT (P < 0.05). For unit odds ratio (OR) interpretation, females are more likely to have HTN (OR = 1.837, 95% CI = (1.620, 2.081)). Among the analyzed variables, age and WBC had the most significant associations with HTN OR = 1.087, 95% CI = (1.081, 1.094) and OR = 1.096, 95% CI = (1.061, 1.133), respectively (P-value < 0.05). In the DT model, age, followed by WBC, sex, and PDW, has the most significant impact on the HTN risk. Ninety-eight percent of patients had HTN in the subgroup with older age (≥58), high PDW (≥17.3), and low RDW (<46). Finally, we found that elevated WBC and PDW are the most associated factor with the severity of HTN in the Mashhad general population as well as female gender and older age.

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

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

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

The gut microbiome plays a critical role in the pathogenesis of type 2 diabetes mellitus (T2DM). However, the inconvenience of obtaining fecal samples hinders the clinical application of gut microbiome analysis. In this study, we hypothesized that tongue coating color is associated with the severity of T2DM. Therefore, we aimed to compare tongue coating, gut microbiomes, and various clinical parameters between patients with T2DM with yellow (YC) and non-yellow tongue coatings (NYC). Tongue coating and gut microbiomes of 27 patients with T2DM (13 with YC and 14 with NYC) were analyzed using 16S rDNA gene sequencing technology. Additionally, we measured glycated hemoglobin (HbA1c), random blood glucose (RBG), fasting blood glucose (FBG), postprandial blood glucose (PBG), insulin (INS), glucagon (GC), body mass index (BMI), and homeostasis model assessment of β-cell function (HOMA-β) levels for each patient. The correlation between tongue coating and the gut microbiomes was also analyzed. Our findings provide evidence that the levels of Lactobacillus spp. are significantly higher in both the tongue coating and the gut microbiomes of patients with YC. Additionally, we observed that elevated INS and GC levels, along with decreased BMI and HOMA-β levels, were indicative of a more severe condition in patients with T2DM with YC. Moreover, our results suggest that the composition of the tongue coating may reflect the presence of Lactobacillus spp. in the gut. These results provide insights regarding the potential relationship between tongue coating color, the gut microbiome, and T2DM.

This study investigates the association between polycyclic aromatic hydrocarbon (PAH) exposure, red blood cell distribution width (RDW), and ischemic heart disease (IHD) in a sample of 3003 participants from the National Health and Nutrition Examination Survey (NHANES). We hypothesize that RDW may mediate the effect of hydroxylated PAHs (OH-PAH) on IHD. Logistic regression models reveal significant associations between increased urinary PAH metabolite concentrations and IHD, as well as positive associations between PAH metabolites and RDW. Weighted Quantile Sum (WQS) regression and Bayesian Kernel Machine Regression (BKMR) analyses confirm the significant associations of the OH-PAH mixture with IHD and RDW. Mediation analysis demonstrates that RDW partially mediates the relationship between PAH exposure and IHD, accounting for 2-4.6% of the total effects. Our findings highlight the potential underlying mechanisms linking PAH exposure, RDW, and IHD and emphasize the importance of addressing environmental pollutants like PAHs in maintaining cardiovascular health and informing public health policies.

Inflammation contributes to poor prognosis in cardiovascular diseases. A novel biomarker for systemic inflammation that has garnered attention is the red blood cell distribution width (RDW). This study is designed to explore potential associations between RDW and hemoglobin-to-RDW ratio (HRR) with contrast-associated acute kidney injury (CA-AKI).

This study retrospectively analyzed 4054 patients undergoing coronary angiography (CAG). Linear regression models were employed to assess the relationships between RDW or HRR and the elevation of serum creatinine (Scr). The associations between RDW or HRR and CA-AKI were explored using restricted cubic spline and log-binomial regression analyses taking into account specific cutoff values and quintiles. Exploratory analyses were also conducted to further investigate these associations.

Among enrolled patients, the average age was 66.9 years and 34.3% were female. Notably, patients who developed CA-AKI tended to have higher RDW and lower HRR. Multivariable linear regression models demonstrated that RDW exhibited a positive association with Scr elevation (β = 2.496, 95% confidence interval [CI] = 1.784-3.208), while HRR displayed a negative association (β = -3.559, 95% CI = -4.243 to -2.875). Multivariable log-binomial regression models confirmed that both high RDW (RDW ≥ 13.8%) and low HRR (HRR < 8.9) were significantly associated with a higher risk of CA-AKI (RDW [≥13.8% vs. <13.8%]: relative risk [RR] = 1.540, 95% CI = 1.345-1.762; HRR [<8.9 vs. ≥8.9]: RR = 1.822, 95% CI = 1.584-2.096). Exploratory analysis determined that such associations still existed regardless of age, gender, estimated glomerular filtration rate, or anemia.

Elevated preoperative RDW and decreased HRR were significantly associated with CA-AKI in patients undergoing CAG.