ArticleEuropean stroke journal2018
In-hospital dynamics of glucose, blood pressure and temperature predict outcome in patients with acute ischaemic stroke.
Article in European stroke journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Peri-procedural and early body temperature trajectories after endovascular thrombectomy and clinical outcomes in intensive care unit patients with acute ischemic stroke: a retrospective cohort study.Frontiers in neurology · 2026Article
- Article
- Predicting 90-Day Prognosis in Ischemic Stroke Patients Post Thrombolysis Using Machine Learning.Journal of personalized medicine · 2023Article
- The neurovascular unit and systemic biology in stroke - implications for translation and treatment.Nature reviews. Neurology · 2022Review
- Verapamil as an Adjunct Therapy to Reduce tPA Toxicity in Hyperglycemic Stroke: Implication of TXNIP/NLRP3 Inflammasome.Molecular neurobiology · 2021Article
- 24-hour blood pressure variability and treatment effect of intravenous alteplase in acute ischaemic stroke.European stroke journal · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWe aimed to assess alterations in glucose, blood pressure and temperature in acute ischaemic stroke and investigate their association with early all-cause mortality and functional outcome. PATIENTS AND
methodsWe studied all consecutive acute ischaemic stroke patients admitted in 2001-2010 to the Acute Stroke Unit, at Alexandra University Hospital, in Athens. Serial measurements were performed in the first seven days post-stroke and different parameters have been estimated: mean daily values, variability, subject-specific baseline levels and rate of change in serial measurements. Cox-proportional-hazards-model analysis and logistic-regression analysis were applied to investigate the association between these parameters and all-cause mortality and functional outcome after adjustment for known confounders of stroke outcome.
resultsIn 1271 patients (mean age 72.3 ± 11.2 years), after adjusting for confounders, baseline glucose levels (HR: 1.005, 95%CI: 1.001-1.01; DISCUSSION: The main strength of our study is that we analysed simultaneously three parameters and we used four different variables for each parameter of interest.
conclusionBaseline glucose levels, variability of SBP and baseline temperature and its rate of change are independent predictors of all-cause mortality. Baseline values of temperature and the rate of changes in SBP and temperature are independent predictors of poor functional outcome.
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