Print Get Citation Citation Disclaimer: These citations have been automatically generated based on the information we have and it may not be 100% accurate. Please consult the latest official manual style if you have any questions regarding the format accuracy. AMA Citation Nedaie S, Chan A. Nedaie S, & Chan A Nedaie, Soroush, and Alex Chan. Low-grade inflammation scores can help predict 90-day outcomes after stroke. 2 Minute Medicine, 15 September 2023. McGraw Hill, 2023. AccessMedicine. https://accessmedicine.mhmedical.com/updatesContent.aspx?gbosid=629952§ionid=281471961APA Citation Nedaie S, Chan A. Nedaie S, & Chan A Nedaie, Soroush, and Alex Chan. (2023). Low-grade inflammation scores can help predict 90-day outcomes after stroke. (2023). 2 minute medicine. McGraw Hill. https://accessmedicine.mhmedical.com/updatesContent.aspx?gbosid=629952§ionid=281471961.MLA Citation Nedaie S, Chan A. Nedaie S, & Chan A Nedaie, Soroush, and Alex Chan. "Low-grade inflammation scores can help predict 90-day outcomes after stroke." 2 Minute Medicine McGraw Hill, 2023, https://accessmedicine.mhmedical.com/updatesContent.aspx?gbosid=629952§ionid=281471961. Download citation file: RIS (Zotero) EndNote BibTex Medlars ProCite RefWorks Reference Manager Mendeley © Copyright Annotate Clip Autosuggest Results Low-grade inflammation scores can help predict 90-day outcomes after stroke by Soroush Nedaie, Alex Chan Listen +Originally published by 2 Minute Medicine® (view original article). Reused on AccessMedicine with permission. +1. This retrospective cohort study found that higher low-grade inflammation (LGI) scores were associated with significantly higher acute ischemic stroke (AIS) severity, worse early neurological deterioration (END), and poor outcomes at 90 days after stroke onset. +Evidence Rating Level: 2 (Good) +Ischemic stroke is a significant global cause of neurological morbidity and mortality. Inflammation, both systemic and local, plays a key role in its pathogenesis. There has been growing interest in using serum biomarkers to predict outcomes in AIS. The LGI score, a novel marker incorporating C-reactive protein, leukocyte counts, the neutrophil/lymphocyte ratio, and platelet count, has been successfully used to predict outcomes in various medical conditions. This retrospective cohort study evaluated 876 patients (median age [range] 70 [60.5-78], 58% male) with a diagnosis of ischemic stroke to assess the LGI score’s effectiveness in predicting functional outcomes in ischemic stroke patients. The LGI score, ranging from -16 to 16, with higher scores indicating higher intensities of low-grade inflammation. After adjusting for potential confounders (age, sex, vascular risk factors), a fourth quartile LGI score was independently associated with stroke severity (evaluated using the National Institutes of Health Stroke Scale score) at baseline (OR = 10.32, 95% CI: 5.38–19.78, p < 0.001) and at one week after stroke onset (OR = 7.59, 95% CI: 4.11–13.99, p< 0.001). In addition, the LGI score was found to be a risk factor of early neurological deterioration (END) (OR = 3.97, 95% CI: 1.57–10.06, p= 0.002) and poor outcomes on day 90 (OR = 2.65, 95% CI: 1.47–4.76, p= 0.001). The LGI score had an area under the curve (AUC) of 0.682 (95% CI = 0.64–0.72) and enhanced the AUC of the conventional model when used together. Overall, these findings suggest a strong correlation between the LGI score and AIS severity, supporting its use as a reliable predictor of unfavorable outcomes at 90 days after stroke onset in patients with AIS. +Click to read the study in BMC Neurology +©2023 2 Minute Medicine, Inc. All rights reserved. No works may be reproduced without expressed written consent from 2 Minute Medicine, Inc. Inquire about licensing here. No article should be construed as medical advice and is not intended as such by the authors or by 2 Minute Medicine, Inc.