Multiplicative interaction between mean corpuscular volume and red cell distribution width with target organ damage in hypertensive patients

Nonlinear relationship of red blood cell indices (MCH, MCHC, and MCV) with all-cause and cardiovascular mortality: A cohort study in U.S. adults

BACKGROUND

In recent years, increasing attention has been focused on the impact of red blood cell indices (RCIs) on disease prognosis. We aimed to investigate the association of mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and mean corpuscular volume (MCV) with mortality.

METHODS

The study used cohort data from U.S. adults who participated in the 1999-2008 National Health and Nutrition Examination Survey. All-cause mortality was the primary outcome during follow-up, with secondary cardiovascular mortality outcomes. COX regression was applied to analyze the connection between RCIs and mortality. We adopted three models to minimize potential bias. Smooth-fit curves and threshold effect analyses were utilized to observe the dose-response relationship between RCIs and all-cause and cardiovascular mortality. In addition, we performed sensitivity analyses.

RESULTS

21,203 individuals were enrolled in our research. During an average 166.2 ± 54.4 months follow-up, 24.4% of the population died. Curve fitting indicated a U-shaped relationship between MCV and MCH with all-cause mortality, and the relationship of MCHC to all-cause mortality is L-shaped. We identified inflection points in the relationship between MCV, MCH, and MCHC and all-cause mortality as 88.56732 fl, 30.22054 pg, 34.34624 g/dl (MCV <88.56732 fl, adjusted HR 0.99, 95 CI% 0.97-1.00; MCV >88.56732 fl, adjusted HR 1.05, 95 CI% 1.04-1.06. MCH <30.22054 pg, adjusted HR 0.95, 95 CI% 0.92-0.98; MCH >30.22054 pg, adjusted HR 1.08, 95 CI% 1.04-1.12. MCHC <34.34624 g/dl, adjusted HR 0.88, 95 CI% 0.83-0.93). Besides, the MCV curve was U-shaped in cardiovascular mortality (MCV <88.56732 fl, adjusted HR 0.97, 95 CI% 0.94-1.00; MCV >88.56732 fl, adjusted HR 1.04, 95 CI% 1.01-1.06).

CONCLUSION

This cohort study demonstrated that RCIs (MCH, MCHC, and MCV) were correlated with mortality in the general population. Three RCIs were nonlinearly correlated with all-cause mortality. In addition, there were nonlinear relationships between MCH and MCV and cardiovascular mortality.

Prediction of the left ventricular mass index in hypertensive patients using the product of red cell distribution width and mean corpuscular volume

The product of red cell distribution width (RDW) and mean corpuscular volume (MCV) has been identified as an indicator of target organ damage in cases of hypertension. However, the role of the RDW-MCV product in assessing carotid alteration, renal damage, and left ventricular hypertrophy in patients with hypertension has not been elucidated. In this cross-sectional study, a total of 1115 participants with hypertension were included. The RDW and MCV at admission were measured using an automated hematology analyzer. Organ damage was determined by the left ventricular mass index (LVMI), carotid intima-media thickness, and estimated glomerular filtration rate. The prevalence rates of carotid alteration and left ventricular hypertrophy were 57.0% and 18.0%, respectively. A higher RDW-MCV product and RDW were observed in hypertensive patients who developed carotid alteration. After adjusting for potential confounding factors, the correlations of the RDW-MCV product (P = .285) and RDW (P = .346) with carotid alteration were not significant. Moreover, the analysis of variance showed no significant correlation between RDW and LVMI (P = .186). However, the RDW-MCV product was higher in individuals with a high LVMI compared to those with a normal LVMI. Multivariable linear regression analysis revealed that the RDW-MCV product was independently associated with the LVMI (β = 2.519, 95% CI: 0.921-4.116; P = .002), but not the estimated glomerular filtration rate (β = -0.260, 95% CI: -2.031-1.511; P = .773). An elevated RDW-MCV product may be a predictor for left ventricular hypertrophy in patients with hypertension.

White blood cell and platelet distribution widths are associated with hypertension: data mining approaches

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.

Monocyte/Lymphocyte Ratio and MCHC as Predictors of Collateral Carotid Artery Disease-Preliminary Report

Background: Carotid artery disease accounts for 30% of ischemic strokes in the general population. Numerous biomarkers have been investigated for predicting either the progression or the severity of the disease. The aim of this retrospective study was to compare hematologic indices among patients referred for surgical interventions due to severe carotid disease. Methods: In total, 135 patients (87 (64.4%) men and 48 (35.6%) women) with a mean age of 70 ± 8 years who underwent surgical carotid intervention were enrolled into the study. Results: A Mann–Whitney test for independent samples revealed significant differences in monocyte to lymphocyte ratio (MLR) and mean corpuscular hemoglobin concentration (MCHC) between patients with one and two (collateral) carotid diseases. The cut-off value for MLR was 0.3 (AUC = 0.654, p = 0.048, 70.0% sensitivity and 74.6% specificity) and for MHCH was 21.6. (AUC = 0.730, p < 0.001, 70.0% sensitivity and 77.2% specificity). A multivariable model of logistic regression revealed two significant parameters for collateral carotid stenosis disease including MLR > 0.3 (OR 6.19 with 95% CI 2.02–19.01, p = 0.001) and MCHC > 21.6 (OR 7.76, 95% CI 2.54–23.72, p < 0.001). Conclusions: MLR above 0.3 and MCHC above 21.6 have predictive values for colleterial carotid stenosis and may be used as easily accessible indicators for atherosclerosis severity.

Prognostic Value of Admission Mean Corpuscular Volume for Major Adverse Cardiovascular Events following Stent Implantation in Nondiabetic and Diabetic Patients with Acute Coronary Syndrome

Background

One of the key concerns of the clinician is to identify and manage risk factors for major adverse cardiovascular events (MACEs) in nondiabetic and diabetic patients with acute coronary syndrome (ACS) undergoing stent implantation. Mean corpuscular volume (MCV) is a marker of erythrocyte size and activity and is associated with prognosis of cardiovascular disease. However, the role of admission MCV in predicting MACEs following stent implantation in diabetes mellitus (DM), non-DM, or whole patients with ACS remains largely unknown.

Methods and Results

A total of 437 ACS patients undergoing stent implantation, including 294 non-DM (59.08 ± 10.24 years) and 143 DM (63.02 ± 9.92 years), were analyzed. Admission MCV was higher in non-DM than DM patients. During a median of 31.93 months follow-up, Kaplan-Meier curve demonstrated that higher admission MCV level was significantly associated with increased MACEs in whole and non-DM, but not in DM patients. In Cox regression analysis, the highest MCV tertile was associated with higher MACEs in whole ([HR] 1.870, 95% CI 1.113-3.144, P = 0.018), especially those non-DM ([HR] 2.089, 95% CI 1.077-4.501, P = 0.029) patients after adjustment of several cardiovascular risk factors. MCV did not predict MACEs in DM patients. During landmark analysis, admission MCV showed better predictive value for MACEs in the first 32 months of follow-up than in the subsequent period. Finally, the receiver operating characteristic (ROC) curve was conducted to confirmed the value of admission MCV within 32 months.

Conclusion

In patients with ACS, elevated admission MCV is an important and independent predictor for MACEs following stent implantation, especially amongst those without DM even after adjusting for lifestyle and clinical risk factors. However, as the follow-up period increased, the admission MCV lost its ability to predict MACEs.

Prognostic Value of Preoperative Red Cell Distribution Width: Fine-Tuning by Mean Corpuscular Volume

BACKGROUND

Abnormal red cell distribution width (RDW), reflecting heterogeneity of red blood cell (RBC) size, is associated with cardiovascular disease outcomes. However, whether RBC size itself, expressed as mean corpuscular volume (MCV), provides additional prognostic value is unclear. We therefore investigated the relationship between outcomes after cardiac surgery and both RDW and MCV simultaneously.

METHODS

From January 2010 to January 2014, 16,097 patients underwent cardiac surgery at Cleveland Clinic and had complete blood count findings available for analysis. Outcomes included RBC transfusion, postoperative complications, and intensive care unit (ICU) and postoperative hospital lengths of stay. Risk-adjusted associations of RDW and MCV with outcomes and their relative importance in predicting outcome were identified by random forest machine learning.

RESULTS

High RDW was associated with more RBC transfusions. Except for postoperative atrial fibrillation, risks of complications and ICU and postoperative lengths of stay were at their minimum when RDW was normal, 13% to 14%. The relationship of MCV to complications was U-shaped: high (macrocytosis) and low (microcytosis) values were associated with higher risk. RDW was an important risk factor for most postoperative outcomes and lengths of stay; MCV was less so, but provided prognostic value in addition to RDW alone, particularly when there was macrocytosis.

CONCLUSIONS

Abnormal RDW and MCV are associated with higher risk of transfusion and postoperative outcomes after cardiac surgery. RDW is one of the most important variables in predicting outcomes, but MCV provides additional prognostic value. Both should be taken into consideration when estimating the perioperative risk of patients undergoing cardiac surgery.

Mean Corpuscular Volume Predicts In-Stent Restenosis Risk for Stable Coronary Artery Disease Patients Receiving Elective Percutaneous Coronary Intervention

Background

The purpose of this study was to analyze predictive performance of MCV in midterm ischemic events among SCAD patients undergoing elective PCI.

Material/Methods

We retrospectively included 226 consecutive patients with SCAD who received elective PCI. The patients were grouped based on MCV quartile values. The prognostic significance of MCV was assessed using univariate and multivariate Cox proportional hazard regression analyses.

Results

According to MCV quartile points (87.5 fL, 89.7 fL, and 92.4 fL, respectively), the included patients were divided into 4 groups, with an average follow-up of 34.2 months. There were 28 (48.3%) patients with stent thrombosis in the 1^st quartile, 24 (29.1%) in the 2^nd quartile, 18 (31.6%) in the 3^rd quartile, and 15 (27.8%) in the 4^th quartile (log-rank test, P=0.027). Multivariate analysis confirmed that MCV 1^st quartile (HRadj=2.047, 95% CI 1.041–4.026; P=0.038), ALT (HRadj=1.013, 95% CI 1.004–1.023; P=0.004) and number of PCI vessels (HRadj=1.198 95% CI 1.013–1.415; P=0.034) were risk factors for ischemic events. The restenosis rate in patients belonging to the MCV 1^st quartile was 2 times higher than that in MCV 2^nd, 3^rd, and 4^th quartile groups (P=0.007).

Conclusions

MCV value may be independently correlated with restenosis in SCAD patients undergoing PCI. Low MCV predicts high risk of in-stent restenosis.