Mean platelet volume (MPV) is a hematological index that is routinely measured in clinical settings. Although many studies have been conducted to investigate the prognostic significance of MPV in acute coronary syndromes (ACS), the findings have been inconsistent. The goal of this study was to systematically review all current evidence on the association between admission MPV and clinical outcomes after ACS. PubMed, Scopus, Web of Science, and other databases were searched. The primary endpoints were major adverse cardiovascular events (MACE) and mortality. We applied a Knapp and Hartung adjustment, prediction interval calculations and permutation tests during pairwise meta-analyses. A one-stage dose-response meta-analysis was also conducted. The meta-analysis consisted of 41 studies with 33443 participants. Mean platelet volume, as a continuous variable, was associated with the risk of long-term mortality (hazard ratio 1.33, 95% CI 1.19-1.48). After conducting permutation tests and calculation of prediction intervals, this association remained significant. The results for MACE were nonsignificant. Linear models were the best fitted models during dose-response meta-analyses, trends for nonlinearity were significant for long-term endpoints. Admission MPV was associated with long-term mortality in ACS patients, with nonlinear associations between MPV levels and long-term clinical outcomes.
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http://dx.doi.org/10.1177/00033197211070908 | DOI Listing |
Future Cardiol
January 2025
Echocardiography research Center, Rajaie cardiovascular medical and research Center, Iran University of Medical Science, Tehran, Iran.
Introduction: Decreased left atrial appendage emptying velocity (LAAV) is a marker for thrombus formation. This study evaluates the association between LAAV and inflammatory indices in non-valvular atrial fibrillation (AF) patients.
Methods: The study population was 1428 patients with AF, 875 of whom enrolled.
Heliyon
January 2025
Medical Faculty of Suleyman Demirel University, Blood Transfusion Center, Turkey.
Background: Rapid, reproducible, and noninvasive diagnostic methods like Ultrasonography (US) and plethysmographic measurements such as the perfusion index (PI) and pleth variablity index (PVI) have great potential value for emergency trauma cases in which blood loss needs to be recognized quickly and accurately.
Objectives: We planned this study to evaluate the utility of US, PI, and PVI in detecting early-stage hemorrhage and mimicking volume replacement using a platelet apheresis model.
Methods: This prospective, observational study included 46 healthy platelet apheresis volunteers who met inclusion criteria.
Front Neurol
January 2025
Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China.
Background: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrovascular disease after ischemic stroke, with high mortality and disability rates, imposing a significant economic burden on families and society. This retrospective study aimed to develop and evaluate an interpretable machine learning model to predict functional outcomes 3 months after SICH.
Methods: A retrospective analysis was conducted on clinical data from 380 patients with SICH who were hospitalized at three different centers between June 2020 and June 2023.
Transfus Apher Sci
January 2025
Medical Laboratory Technologist, Dept. of Transfusion Medicine & Blood Centre, AIIMS Kalyani, West Bengal 741245, India.
Introduction: The Reveos automated blood processing system is the only system developed till date, which can separate whole blood into components on complete automation. Their proprietary LR and NLR blood collection sets have their own advantages and disadvantages. Using LR sets, leukodepleted components can be prepared but individual platelet units cannot be prepared.
View Article and Find Full Text PDFSTAR Protoc
January 2025
Heinz-Nixdorf-Chair of Biomedical Electronics, TranslaTUM, School of Computation, Information and Technology, TUM, Germany; Munich Institute of Biomedical Engineering, TUM, Germany. Electronic address:
Blood cell aggregates are clinically useful biomarkers in a number of medical disorders. This protocol provides accurate and quantitative analysis of cell aggregates using a small volume of whole blood and imaging flow cytometry. We describe steps for sample collection, staining, and measurement.
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