The high thrombus burden of the infarct-related artery (IRA) is associated with the adverse prognosis in ST-segment elevation myocardial infarction (STEMI) patients. Our objectives were to investigate the predictors and evaluate the prognosis of refractory thrombus in STEMI patients. A total of 1305 consecutive patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) were screened. The refractory thrombus group (n = 15) was defined as IRA thrombolysis in myocardial infarction flow < grade 2 after multiple thrombus aspiration (TA). The control group (n = 45) was age- and sex-matched and was selected from the same batch of patients. Baseline hematologic indices were measured before the pPCI. The major adverse cardiovascular events (MACE) were recorded during follow-up. The refractory thrombus group had significantly higher red cell distribution width (RDW) at baseline compared with the control group (13.1 [12.4-13.7] vs 12.6 [12.3-12.8], P = .008). In multivariate logistic regression analysis, RDW was an independent predictor of refractory thrombus (odds ratio: 8.799, 95% CI: 1.240-62.454, P = .030). The area under the receiver-operating characteristic curve of the RDW was 0.730 (95%CI: 0.548-0.912, P = .008). During a mean period of 26 months follow-up, patients in the refractory thrombus group tended to have higher percent MACEs compared with patients in the control group (53.3% vs 6.7%, P < .001). In the present study, we found that the refractory thrombus in STEMI patients was associated with the worse prognosis and the increased RDW might be a potential independent predictor.

BACKGROUND: Acute pancreatitis (AP) is a potentially fatal condition that varies in its severity at presentation. It\'s crucial to recognize patients with a higher likelihood of severe outcomes to enhance their prognosis by promptly providing medical or endoscopic treatment and admitting them to a specialized intensive care unit (ICU). Despite the various scoring systems and methods, there is no reliable instrument to assess the severity of AP at its presentation. Red cell distribution width (RDW) and serum calcium levels are inexpensive markers readily available upon admission that can be used to anticipate the severity of AP.
METHODS: An observational cross-sectional study was carried out on 85 patients admitted to a referral hospital. The AP patients were categorized into two groups: those with mild AP (MAP) and those with moderately severe/severe AP (MSAP/SAP). RDW was assessed in all patients upon admission and at the 24-hour mark.
RESULTS: Among the 85 AP patients, 55 were diagnosed with MAP, while 17 had MSAP and 13 had SAP. The mean serum calcium levels were notably lower in patients with MSAP/SAP compared to MAP. Additionally, the modified Marshall (MM) score, bedside index for severity in acute pancreatitis (BISAP) index, RDW at 0 hours and 24 hours, and RDW/total serum calcium (RDW/TSC) ratio were significantly higher in patients with MSAP/SAP than in MAP. The BISAP index, followed by MM, emerged as the most reliable predictors of severity, with RDW/TSC also showing strong predictive value. RDW/TSC demonstrated superior predictive ability for AP severity when compared to RDW measured at admission and at 24 hours. However, no individual parameter was identified as an independent significant predictor of AP.
CONCLUSIONS: Red cell distribution width and RDW/TSC ratio are comparable to BISAP index as predictors of severity in AP. They offer a cost-effective and readily accessible means to forecast AP severity upon admission, facilitating prompt intervention at the outset.

OBJECTIVE: To evaluate the impact of CDK4/6 inhibitors on erythrocyte mean corpuscular volume (MCV) change and its possible correlation with progression-free survival (PFS) and overall survival (OS).
METHODS: Observational study. Place and Duration of the Study: Department of Medical Oncology, Kahramanmaras Necip Fazil City Hospital, Kahramanmaras, Turkiye, between January 2020 and 2023.
METHODS: The data of 74 patients with HR (+) HER2 (-) metastatic breast cancer were analysed retrospectively. MCV and other complete blood count metrics were noted before and after the treatment. The first post-treatment evaluation was performed at three months. The median ΔMCV values at the third month after treatment-baseline were calculated.
RESULTS: The patients were all females, with a median age of 55 years (between 35 and 80). Prior to the therapy, the baseline median MCV level was 90.4 (min-max: 77.3-113.2). After three months, the median MCV level was 95 (min-max: 84.3-115.3). Moreover, 7.15 was the median ΔMCV level. Regarding PFS (16.53 vs. 15.26 months) (p = 0.13) and OS (21.46 vs. 17.83 months) (p = 0.08), there was no statistically significant difference seen between the group with ΔMCV ≥7.15 and the group with ΔMCV <7.15.
CONCLUSIONS: CDK4/6 inhibitors led to an increase in MCV but there was no significant difference between PFS or OS and the increase in MCV. To figure out whether the rise in MCV represents a prognostic or predictive marker, further research is required.
BACKGROUND: Breast cancer, CDK4/6 inhibitors, Mean corpuscular volume, Prognosis.

This study aimed to identify highly valuable blood indicators for predicting the clinical outcomes of patients with aortic aneurysms (AA). Baseline data of 1180 patients and 16 blood indicators were obtained from the public Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The association of blood indicators with 4 types of clinical outcomes was analyzed, and the prediction performance of core indicators on different outcomes was next evaluated. Then, we explored the detailed association between core indicators and key outcomes among subgroups. Finally, a machine learning model was established to improve the prediction performance. Generalized linear regression analysis indicated that only red cell volume distribution width (RDW) was commonly associated with 4 end-points including surgery requirement, ICU stay requirement, length of hospital stay, and in-hospital death (all P < .05). Further, RDW showed the best performance for predicting in-hospital death by receiver operating characteristic (ROC) analysis. The significant association between RDW and in-hospital death was then determined by 3 logistic regression models adjusting for different variables (all P < .05). Stratification analysis showed that their association was mainly observed in unruptured AA and abdominal AA (AAA, all P < .05). We subsequently established an RDW-based model for predicting the in-hospital death only in patients with unruptured AAA. The favorable prediction performance of the RDW-based model was verified in training, validation, and test sets. RDW was found to make the greatest contribution to in-hospital death within the model. RDW had favorable clinical value for predicting the in-hospital death of patients, especially in unruptured AAA.

BACKGROUND: Mean corpuscular hemoglobin concentration (MCHC) is one of the parameters detected by blood cell analyzers, often used together with mean corpuscular volume (MCV) and mean corpuscular hemoglobin content (MCH) as diagnostic indicators for anemia classification. It has important clinical value in early detection of the cause of anemia and the underlying etiology of anemia. Therefore, the accuracy of MCHC results is of great significance for the diagnosis and treatment of diseases.
METHODS: We reported two cases of false elevation of MCHC. Considering the possibility of cold agglutination and lipid blood interference detection, we used 37℃ water bath and plasma exchange to correct for interference on the sample.
RESULTS: After correcting the interference, MCHC returned to normal, consistent with the patient\'s disease status. Therefore, the two cases of abnormal elevation of MCHC are considered to be pseudo elevation caused by interference.
CONCLUSIONS: For specimens with abnormally elevated MCHC levels, experimenters should first analyze possible interfering factors and choose effective methods to correct different interferences, providing accurate testing reports for doctors and patients.

BACKGROUND: Neutrophil-lymphocyte ratio (NLR) is a valuable indicator for evaluating inflammatory response and red blood cell distribution width (RBDW), a routinely available biomarker of likely erythropoietic dysfunction, which may be associated with adverse outcomes after cardiac surgery. This study aimed to investigate the association between these two readily available haematological parameters, with the poor outcomes in paediatric patients undergoing cardiac surgery.
METHODS: A comprehensive review of medical records for paediatric patients who underwent cardiac surgery at our tertiary care centre between April 2022 and June 2023 was carried out. RBDW and NLR values were collected from complete blood count reports obtained on admission to the ICU. Demographic data, surgical details, and postoperative complications were also recorded. A receiver operating characteristic (ROC) curve and multivariable logistic regression were applied to identify the prognosis performance of preoperative NLR and RBDW for poor outcomes.
RESULTS: The study included 219 patients meeting the inclusion criteria of which a total of 90 (41%) children experienced at least one of the poor outcomes. Preoperative NLR (AUC=0.88, 95%CI 0.36-0.70, cut off- 4.2) and RBDW (AUC=0.88, 95%CI 0.39-0.73, cut off- 18.5%) showed prognostic significance in the perioperative period.
CONCLUSIONS: This retrospective observational study highlights a significant association between elevated Red Blood Cell Distribution Width (RBDW) and Neutrophil Lymphocyte Ratio (NLR) values and poor outcomes in paediatric patients undergoing cardiac surgery. These readily available haematological parameters could serve as potential prognostic indicators for identifying patients at risk of poor outcomes.

Objectives - postmenopausal women (PMW) undergo a physiological phase of lack or insufficient female sex hormones resulting in some consequences including hematological deficits. The present study aimed to investigate the detection of anemia in postmenopausal women using easy laboratory tools. In this retrospective analysis of patient data collected during the period between 2014-2022. Data retrieved from PMW records were collected over 4 years and analyzed. In comparison to normal ranges, data of PMW has shown reduced levels of hemoglobin, packed cell volume, mean corpuscular volume, and mean corpuscular hemoglobin. PMW has also shown elevated levels of red cell distribution width and levels of serum iron. Compared to normal ranges, no changes have been seen regarding red blood cell count, Mean corpuscular hemoglobin concentration, unsaturated or total iron binding capacity, transferrin saturation, serum ferritin, white blood cells count, and platelets. To provide in-depth investigation, we divide our participants into three groups according to their ages: 45-55 years, 56-65 years, and 66-80 years. The older the age, the more parameters are altered. The study highlighted the potential impact of postmenopausal hormone alteration on hematological parameters and the routine laboratory tools could be used to assess such alteration in blood parameters.

Elevated red blood cell distribution width (RDW) can be associated with disease severity. However, studies on RDW for the prognosis of elderly patients with non-traumatic coma (NTC) are lacking. This study aims to examine the relationship between RDW and outcomes in elderly patients with NTC. This observational cohort study included elderly patients (aged ≥ 65 years) with NTC between January 2022 and December 2022. We measured RDW upon patient arrival at the emergency department (ED). We conducted a multivariable analysis using logistic regression of relevant covariates to predict in-hospital mortality. Survival curves based on 30-day mortality were designed using the Kaplan-Meier method. The primary outcome was in-hospital mortality, and the secondary outcome was 30-day mortality. A total of 689 patients were included in the study, and in-hospital mortality was 29.6% (n = 204). Our results found that the RDWs of non-survivors were significantly greater than those of survivors (14.6% vs 13.6%). Multivariable analysis showed that RDWs at ED arrival were independently associated with in-hospital mortality (odds ratio, 1.126; 95% confidence interval, 1.047-1.212; P < .001). The Kaplan-Meier curve indicated that the survival probability of patients with a low RDW was greater than those with a high RDW. Having a high RDW at ED arrival was associated with in-hospital mortality in elderly patients with NTC.

The blood counts of α thalassemia carriers (α-thal) are similar to those of β thalassemia carriers, except for Hemoglobin A2 (Hb A2), which is not elevated. The objective of this study was to determine whether mathematical formulas are effective for detecting suspected α-thal. The data were obtained from the database of the prevention program for detecting couples at risk for having a child with hemoglobinopathy. Red Blood Cells (RBC) indices were analyzed using mathematical formulas, and the sensitivity and negative predictive value (NPV) were calculated. Among 1334 blood counts suspected of α-thal analyzed, only the Shine and Lal and the Support Vector Machine formulas revealed high sensitivity and NPV. Sensitivity was 85.54 and 99.33%, and NPV was 98.93 and 99.93%, respectively. Molecular defects were found in 291, and 81 had normal α genes. Molecular analysis was not performed in 962 of the samples. Based on these results, mathematical formulas incorporating one of these reliable formulas for detecting suspected α or β thalassemia carriers in the program of the automatic analyzers can flag these results, increase the awareness of the primary physicians about the carrier risk, and send an alert with a recommendation for further testing.

BACKGROUND: Previous studies have shown that the red cell distribution width (RDW)/serum albumin ratio (RA) is an integrative and new inflammatory marker. RA is associated with clinical outcomes in a variety of diseases, but the clinical value of RDW/RA in the assessment of diabetic kidney disease (DKD) has not been elucidated. We examined the link between diabetic RA and DKD while controlling for a wide variety of possible confounders.
METHODS: Retrospective cohort analysis of the National Health and Nutrition Examination Survey (NHANES: 2009-2018) database from the Second Affiliated Hospital and Yuying Children\'s Hospital and the Wenzhou Medical University (WMU) database was conducted. Multivariate logistic regression analysis was used to assess the association between RA and DKD.
RESULTS: Overall, 4513 diabetic patients from the NHANES database (n = 2839) and the WMU (n = 1412) were included in this study; 974 patients were diagnosed with DKD in NHANES and 462 in WMU. In the NHANES cohort, diabetes mellitus (DM) patients with higher RA level had a higher risk of DKD (odds ratio = 1.461, 95% confidence interval: 1.250-1.707, p < 0.00001). After adjusting for confounders and propensity score-matched (PSM) analysis, both shown RA levels were independently linked to DKD (pAdjust = 0.00994, pPSM = 0.02889). Similar results were also observed in the WMU cohort (p < 0.00001).
CONCLUSIONS: The study observes that the RA was an independent predictor of DKD in DM patients. The RA, a biomarker that is cost-effective and easy-to-access, may have potential for risk stratification of DKD.