Red blood cell distribution width and mortality of spontaneous intracerebral hemorrhage patients

Lorente, Leonardo; Martı́n, Marı́a; González-Rivero, Agustín F.; Pérez-Cejas, Antonia; Sabatel, Rafael; Ramos, Luís; Argüeso, Mónica; Cáceres, Juan J.; Solé‐Violán, Jordi; Jiménez, Alejandro; Garcı́a-Marı́n, Vı́ctor

doi:10.1016/j.clineuro.2020.106066

Cited by 13 publications

(9 citation statements)

References 24 publications

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“…In our study, the role of the RDW factor in the prognosis and mortality of stroke patients with ICH in a period of three months was assessed, and it was shown that the RDW value is significantly higher in deceased patients compared to alive patients with ICH. The results of the study conducted by Lorente et al among 117 patients with spontaneous ICH showed that RDW during the first week was higher in deceased than surviving patients (p ≤ 0.001), which is in accordance with our findings [ 18 ]. Furthermore, the article by Kaya et al conducted on 153 participants, concluded that RDW is an important hematopoiesis indicator for the occurrence of stroke in patients with heart failure, which reveals that high RDW is associated with the development of stroke and is strongly associated with cardiovascular causes [ 10 ].…”

Section: Discussionsupporting

confidence: 93%

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study

et al. 2022

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Background Red cell distribution width (RDW) is a parameter that indsicates the heterogeneity of red blood cell size and could be a prognostic factor in some diseases. Also, intracerebral hemorrhage (ICH) is considered a vascular event with a high mortality rate. We aimed to examine the role of RDW, neutrophil to lymphocyte ratio (NLR), and neutrophil to platelet ratio (NPR) in predicting the prognosis of patients with ICH. Methods This is a retrospective cohort study conducted on 140 patients with ICH admitted to the neurology ward and intensive care unit (ICU) in Imam Reza Hospital, Tabriz, Iran. Demographic data, National Institutes of Health Stroke Scale (NIHSS), and complete blood count test parameters were evaluated within 24 h after hospitalization. These variables were collected and re-evaluated three months later. Results The mean age of the study population was 61.14 (± 16) years and 51% were male. The mean NLR (p = 0.05), neutrophil count (p=0.04), platelet count (p = 0.05), and NIHSS (p<0.01) had a significant difference between the deceased patients and those who partially recovered after three months. The ROC curve showed that NIHSS (area under curve (AUC): 0.902), followed by NPR (AUC: 0.682) variables had the highest AUC. Conclusion RDW could be a relevant prognostic factor and predictor in determining 3-months survival in ICH. Nevertheless, further large-scale prospective cohorts might be needed to evaluate the associations.

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Section: Discussionsupporting

confidence: 93%

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study

et al. 2022

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“…For example, in our model, blood glucose derived from labs is the most important feature for predicting ICH mortality during hospitalization, as considerable previous studies have supported this finding ( 28 – 30 ). Some of which, including creatinine ( 31 ), white blood cell count ( 32 ), prothrombin time ( 33 ), chlorine ( 34 ), potassium ( 35 ), percentage of lymphocytes ( 36 ), red blood cell distribution width ( 37 ), uric acid ( 38 ), and phosphorus ( 39 ) also correspond with previously investigated risk factors from previous clinical studies. These features were presented in nearly two-thirds of the overall selecting variables (8 out of 13), suggesting our model is reliable.…”

Section: Discussionsupporting

confidence: 66%

Enhancing Robustness of Machine Learning Integration With Routine Laboratory Blood Tests to Predict Inpatient Mortality After Intracerebral Hemorrhage

Chen

et al. 2022

Front. Neurol.

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Objective: The accurate evaluation of outcomes at a personalized level in patients with intracerebral hemorrhage (ICH) is critical clinical implications. This study aims to evaluate how machine learning integrates with routine laboratory tests and electronic health records (EHRs) data to predict inpatient mortality after ICH.Methods: In this machine learning-based prognostic study, we included 1,835 consecutive patients with acute ICH between October 2010 and December 2018. The model building process incorporated five pre-implant ICH score variables (clinical features) and 13 out of 59 available routine laboratory parameters. We assessed model performance according to a range of learning metrics, such as the mean area under the receiver operating characteristic curve [AUROC]. We also used the Shapley additive explanation algorithm to explain the prediction model.Results: Machine learning models using laboratory data achieved AUROCs of 0.71–0.82 in a split-by-year development/testing scheme. The non-linear eXtreme Gradient Boosting model yielded the highest prediction accuracy. In the held-out validation set of development cohort, the predictive model using comprehensive clinical and laboratory parameters outperformed those using clinical alone in predicting in-hospital mortality (AUROC [95% bootstrap confidence interval], 0.899 [0.897–0.901] vs. 0.875 [0.872–0.877]; P <0.001), with over 81% accuracy, sensitivity, and specificity. We observed similar performance in the testing set.Conclusions: Machine learning integrated with routine laboratory tests and EHRs could significantly promote the accuracy of inpatient ICH mortality prediction. This multidimensional composite prediction strategy might become an intelligent assistive prediction for ICH risk reclassification and offer an example for precision medicine.

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“…In addition, parameters of red blood cell distribution width (RDW) and platelet distribution width (PDW) were also controlled in the normal range after incubation with PVA@COOH‐PE, indicating the adsorbent would not cause damages on blood cell structure. The negligible consumption of the blood cell parameters, together with the minor variations in RDW and PDW demonstrated that the prepared adsorbent would cause adverse effects on blood cells or induce any health risks during the perfusion process 36,37 …”

Section: Resultsmentioning

confidence: 99%

“…The negligible consumption of the blood cell parameters, together with the minor variations in RDW and PDW demonstrated that the prepared adsorbent would cause adverse effects on blood cells or induce any health risks during the perfusion process. 36,37 Anticoagulation plays a crucial role in clinical whole blood perfusion process, so that the hemoperfusion adsorbent should have satisfactory anticoagulant activity to prevent the occurance of blood was spotted for all the samples. The hemolysis ratio was only 0.46% and 0.02% for PVA and PVA@COOH-PE, which is much less than the standard established by the American Society of Testing Materials (ASTM) (5%), indicating negligible destruction of erythrocyte and release of hemoglobin.…”

Section: Blood Compatibilitymentioning

confidence: 99%

Biomembrane‐mimetic hemoperfusion adsorbent for efficient removal of low‐density lipoprotein from hyperlipemia blood

Guo

et al. 2022

J Biomed Mater Res

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Lowering of low‐density lipoprotein (LDL) levels in blood of patients with hyperlipidaemia can effectively prevent the progression of atherosclerosis and coronary heart disease. The present study demonstrated a facile synthesis strategy to prepare biomembrane‐mimetic LDL adsorbent (PVA@COOH‐PE) via directional immobilization of phospholipid onto macro‐porous cross‐linked poly(vinyl alcohol) spheres. The binding between the prepared adsorbent and LDL particles simulates the cytosolic lipid droplets to form a lipid‐packing structure. The adsorbent possesses satisfactory removal efficiency for LDL and total cholesterol (TCH) in hyperlipemia serum, while remains high‐density lipoprotein (HDL) concentration within the normal range. The adsorption capacities for LDL and TCH are about 1.13 and 1.74 mg/ml respectively, which are nearly three and four times higher than that of HDL (0.42 mg/ml). The adsorbent also possesses satisfactory anticoagulant properties, causes negligible effect on blood cells and produces low hemolysis ratios. The excellent blood compatibility plus LDL removal efficiency of PVA@COOH‐PE indicates its good application prospect as hemoperfusion adsorbent in the treatment of hyperlipidaemia.

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Red blood cell distribution width and mortality of spontaneous intracerebral hemorrhage patients

Cited by 13 publications

References 24 publications

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study

Enhancing Robustness of Machine Learning Integration With Routine Laboratory Blood Tests to Predict Inpatient Mortality After Intracerebral Hemorrhage

Biomembrane‐mimetic hemoperfusion adsorbent for efficient removal of low‐density lipoprotein from hyperlipemia blood

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