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Arq. bras. neurocir ; 40(2): 137-145, 15/06/2021.
Article Dans Anglais | LILACS | ID: biblio-1362201

Résumé

Background Today, there is a need for new and independent additional advanced markers that can predict the prognosis of meningioma patients, postoperatively. The present study aimed to find out postoperative short-term prognostic markers in patients with meningioma using their demographic data and routine blood biochemistry findings evaluated preoperatively. Methods The Glasgow Coma Scale (GCS), and Glasgow Outcome Scale (GOS) scores of the patients were recorded. Additionally, preoperatively obtained serum glucose, Creactive protein (CRP), sodium, potassium, creatinine, blood urea nitrogen, aspartate aminotransferase (AST), alanine aminotransferase, and hemoglobin level values, platelet, leukocyte, neutrophil, lymphocyte, eosinophil, basophil, andmonocyte count results, erythrocyte sedimentation rate (ESR), neutrophil-lymphocyte ratio, plateletlymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) values were evaluated. Results In the present study, 23 operated patients with meningioma World Health Organization (WHO) grade 1 (17 females, 6 males) were included. Correlation test results revealed that the GCS score, platelet count, and serum potassium level values could directly predict the short-term prognosis of these patients. Additionally, these test results suggested that the lymphocyte, monocyte, and eosinophil count values, PLR, LMR, ESR, serum glucose, CRP, and AST level values could be indirect markers in predicting the short-term prognosis. However, likelihood ratio test results revealed that only monocyte count value, LMR value, and serum CRP level value could be the markers for prediction of the short-term prognosis. Conclusion At the end of the present study, it was concluded that the monocyte count value, LMR value, and serum CRP level value could be the best markers in predicting the short-term prognosis of the operated meningioma patients.


Sujets)
Humains , Mâle , Femelle , Adulte , Adulte d'âge moyen , Sujet âgé , Analyse chimique du sang/méthodes , Marqueurs biologiques , Méningiome/thérapie , Numération des plaquettes , Potassium/sang , Pronostic , Protéine C-réactive/composition chimique , Monocytes/composition chimique , Études rétrospectives , Interprétation statistique de données , Statistique non paramétrique , Corrélation de données
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