ArticleScientific reports2024
Prognostic value of platelet levels in patients with aneurysmal Subarachnoid Hemorrhage.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Microthrombi and hypercoagulability's contribution to delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Observational
- Deep immunophenotyping in aneurysmal subarachnoid hemorrhage: a prospective and controlled clinical study.Journal of neuroinflammation · 2025Observational
- The prognostic value of mean platelet volume levels in germinal matrix hemorrhage- intraventricular hemorrhage in preterm infants.Pakistan journal of medical sciences · 2025Article
- Association of preoperative platelet counts with in-hospital mortality in patients with acute type A aortic dissection: a retrospective single-center study.Frontiers in cardiovascular medicine · 2025Article
- Machine learning models for mortality prediction in patients with spontaneous subarachnoid hemorrhage following ICU treatment.Frontiers in neurology · 2025Article
- Trajectory of mean platelet volume changes after aneurysmal subarachnoid hemorrhage in patients with or without delayed cerebral ischemia.Scientific reports · 2024Observational
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7 authors.
Funding
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Abstract
Pathophysiological processes following aneurysmal subarachnoid hemorrhage (aSAH) include upregulated underlying systemic inflammation, which is reflected by changes in different peripheral blood cells and their sub-populations. As inflammation is a crucial process that contributes to post-aSAH complications and clincal outcome, blood cell numbers and ratios in systemic circulation may predict the outcome and provide rapid and easy to quantify point of care biomarkers for these critically ill patients. To identify blood-derived cellular inflammatory parameters which allow a precise prediction of patient outcome after aSAH. In this single-center retrospective study, 19 whole blood-derived cellular inflammatory markers and clinical and demographic parameters for 101 aSAH patients were recorded within 24 h after aSAH. Clinical outcome was quantified with modified Rankin scale (mRS) on discharge. Proportional odds logistic regression (POLR) was used to model the patient outcome as the function of clinical parameters and inflammatory markers. The results were validated on a separate hold-out dataset (220 patients). The on-admission platelet count, mean platelet volume (MPV) and mean platelet volume to platelet ratio (MPR) were found to be significant and predictive of patient outcome on discharge. Mean platelet volume (MPV) and mean platelet volume to platelet ratio (MPR) predicted clinical outcome and may serve as easy to quantify point of care biomarker. The findings are potentially relevant for the management of aSAH.
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