Non-survivor patients with malignant middle cerebral artery infarction showed persistently high serum malondialdehyde levels View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-10-17

AUTHORS

Leonardo Lorente, María M. Martín, Pedro Abreu-González, Rafael Sabatel, Luis Ramos, Mónica Argueso, Jordi Solé-Violán, Juan J. Cáceres, Alejandro Jiménez, Victor García-Marín

ABSTRACT

ObjectivePreviously there have been found higher circulating malondialdehyde levels during the first week of ischemic stroke in patients with worst neurological functional outcome, and at moment of ischemic stroke in non-survivor patients. Thus, the aim of our study was to determine the potential role of serum malondialdehyde levels during the first week of a severe cerebral infarction to mortality prediction.MethodsThis study was observational, prospective, and multicenter. We included patients with a severe malignant middle cerebral artery infarction (MMCAI) defined as patients with computed tomography showing acute infarction in more than of 50% of the territory and Glasgow Coma Scale (GCS) lower than 9. We determined serum concentrations of malondialdehyde on days 1, 4 and 8 of MMCAI.ResultsSerum malondialdehyde concentrations at days 1 (p < 0.001), 4 (p < 0.001), and 8 (p = 0.001) of MMCAI in non-survivor patients (n = 34) were higher than in survivor patients (n = 34). ROC curve analyses showed that serum malondialdehyde concentrations at days 1, 4, and 8 of MMCAI had an AUC (95% CI) to predict 30-day mortality of 0.77 (0.65–0.86; p < 0.001), 0.82 (0.69–0.91; p < 0.001) and 0.84 (0.70–0.93; p < 0.001) respectively.ConclusionsThe new findings of our study were that serum malondialdehyde levels during the first week of MMCAI could be used as biomarkers to mortality prediction. More... »

PAGES

238

References to SciGraph publications

Journal

TITLE

BMC Neurology

ISSUE

1

VOLUME

19

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12883-019-1479-z

DOI

http://dx.doi.org/10.1186/s12883-019-1479-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1121886311

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31623565


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