Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Red cell distribution width (RDW) and Alberta stroke programme early computed tomography score (ASPECTS) are correlated in predicting mortality in geriatric ischemic stroke patients

View through CrossRef
Objective: Ischemic stroke is one of the leading causes of disability and death in elderly people worldwide. The aims of this study were to investigate the relationship of hematologic parameters and Alberta Stroke Programme Early Computed Tomography Score (ASPECTS) with mortality in geriatric patients suffering an ischemic stroke. Materials and Methods: Geriatric ischemic stroke patients referring to Mehmet Akif Inan Training and Research Hospital between May 2016-May 2019 were retrospectively analyzed. ROC curve analysis was performed to determine the predictive value of hematologic parameters with respect to in-hospital mortality. Multivariate logistic regression analysis was performed to determine the independent predictors of in-hospital mortality. Results: The neutrophil count, monocyte count, red cell distribution width, neutrophil-lymphocyte ratio and monocyte-lymphocyte ratio were significantly higher, whereas the lymphocyte count was significantly lower in patients who died in the hospital than in those who did not. The areas under the curve for the red cell distribution width, neutrophil-lymphocyte ratio, and monocyte-lymphocyte ratio were 0.720, 0.643, and 0.660, respectively. In the logistic regression analysis, age, female sex, ASPECTS, monocyte-lymphocyte ratio and red cell distribution width were identified as independent predictors of in-hospital mortality. In the correlation analysis, a weak negative correlation was found between the ASPECTS and the red cell distribution width (r = 0.303, p < 0.001). Conclusion: The red cell distribution width, monocyte-lymphocyte ratio, and ASPECTS are independent predictors of in-hospital mortality in geriatric ischemic stroke patients. There is a correlation between the ASPECTS and the red cell distribution width.
Title: Red cell distribution width (RDW) and Alberta stroke programme early computed tomography score (ASPECTS) are correlated in predicting mortality in geriatric ischemic stroke patients
Description:
Objective: Ischemic stroke is one of the leading causes of disability and death in elderly people worldwide.
The aims of this study were to investigate the relationship of hematologic parameters and Alberta Stroke Programme Early Computed Tomography Score (ASPECTS) with mortality in geriatric patients suffering an ischemic stroke.
Materials and Methods: Geriatric ischemic stroke patients referring to Mehmet Akif Inan Training and Research Hospital between May 2016-May 2019 were retrospectively analyzed.
ROC curve analysis was performed to determine the predictive value of hematologic parameters with respect to in-hospital mortality.
Multivariate logistic regression analysis was performed to determine the independent predictors of in-hospital mortality.
Results: The neutrophil count, monocyte count, red cell distribution width, neutrophil-lymphocyte ratio and monocyte-lymphocyte ratio were significantly higher, whereas the lymphocyte count was significantly lower in patients who died in the hospital than in those who did not.
The areas under the curve for the red cell distribution width, neutrophil-lymphocyte ratio, and monocyte-lymphocyte ratio were 0.
720, 0.
643, and 0.
660, respectively.
In the logistic regression analysis, age, female sex, ASPECTS, monocyte-lymphocyte ratio and red cell distribution width were identified as independent predictors of in-hospital mortality.
In the correlation analysis, a weak negative correlation was found between the ASPECTS and the red cell distribution width (r = 0.
303, p < 0.
001).
Conclusion: The red cell distribution width, monocyte-lymphocyte ratio, and ASPECTS are independent predictors of in-hospital mortality in geriatric ischemic stroke patients.
There is a correlation between the ASPECTS and the red cell distribution width.

Related Results

Association of the dispersion in red blood cell volume with mortality
Association of the dispersion in red blood cell volume with mortality
AbstractBackgroundThe red cell distribution width (RDW) predicts mortality among many populations. RDW is calculated as the standard deviation (SD) of the red blood cell (RBC) volu...
Frequency of Common Chromosomal Abnormalities in Patients with Idiopathic Acquired Aplastic Anemia
Frequency of Common Chromosomal Abnormalities in Patients with Idiopathic Acquired Aplastic Anemia
Objective: To determine the frequency of common chromosomal aberrations in local population idiopathic determine the frequency of common chromosomal aberrations in local population...
Red cell distribution width and mortality in pediatric sepsis
Red cell distribution width and mortality in pediatric sepsis
Background Red cell distribution width (RDW) is a hematological parameter routinely obtained as part of the complete blood count. Recently, RDW has emerged as a potential independe...
Complex Collision Tumors: A Systematic Review
Complex Collision Tumors: A Systematic Review
Abstract Introduction: A collision tumor consists of two distinct neoplastic components located within the same organ, separated by stromal tissue, without histological intermixing...
Iranian stroke model-how to involve health policymakers
Iranian stroke model-how to involve health policymakers
Stroke in Iran, with more than 83 million population, is a leading cause of disability and mortality in adults. Stroke has higher incidence in Iran comparing the global situation a...
Assessment of Red Cell Distribution Width among Sudanese Patients with Subclinical Hypothyroidism
Assessment of Red Cell Distribution Width among Sudanese Patients with Subclinical Hypothyroidism
Background: Thyroid dysfunction has a strong association with anemia. Red blood cell distribution width (RDW) was traditionally regarded as a part of the routine evaluation of anem...

Back to Top