Yesim Eylev Akboga1, Hesna Bektas2, Omer Anlar3. 1. Yildirim Beyazit University Medical School, Department of Neurology, Ankara, Turkey. Electronic address: yesimakboga@gmail.com. 2. Ankara Ataturk Training and Research Hospital, Department of Neurology, Ankara, Turkey. 3. Yildirim Beyazit University Medical School, Department of Neurology, Ankara, Turkey.
Abstract
BACKGROUND: Platelet to lymphocyte ratio (PLR) and neutrophil to lymphocyte ratio (NLR) as recently emerging thrombo-inflammatory indicators were significantly associated with both major cerebrovascular/cardiovascular adverse events (MACE) and mortality. Therefore, we aimed to assess the effects of combinations of PLR and NLR in predicting the presence of CVST and in-hospital MACE. METHODS: A total of 277 participants comprising 80 patients with evidence of CVST and 197 controls with similar baseline characteristics were included in this retrospective study. Patients were classified into 3 groups based on the optimal cut-off values of PLR and NLR calculated with receiver operating characteristic (ROC) curve for in-hospital MACE rates. RESULTS: PLR (148±61 vs 101±50, p<0.001) and NLR (3.12±1.4 vs 1.94±1.1, p<0.001) were significantly higher in the CVST group. Furthermore, patients in the high risk group (a PLR of ≥115.0 and an NLR of ≥2.1) had the highest in-hospital MACE rates including seizure (p=0.012), papilledema (p=0.025) and diplopia or blurry vision (p=0.028). After multivariate logistic regression analysis MPV, PLR (1.052 [1.045-1.059], p=0.001) and NLR (1.442 [1.086-1.916], p=0.012) were found as independent predictors of CVST. CONCLUSION: These results suggest that PLR and NLR are easily available and cheap thrombo-inflammatory indicators, so that PLR and NLR could be used in prediction of CVST and in-hospital MACE.
BACKGROUND: Platelet to lymphocyte ratio (PLR) and neutrophil to lymphocyte ratio (NLR) as recently emerging thrombo-inflammatory indicators were significantly associated with both major cerebrovascular/cardiovascular adverse events (MACE) and mortality. Therefore, we aimed to assess the effects of combinations of PLR and NLR in predicting the presence of CVST and in-hospital MACE. METHODS: A total of 277 participants comprising 80 patients with evidence of CVST and 197 controls with similar baseline characteristics were included in this retrospective study. Patients were classified into 3 groups based on the optimal cut-off values of PLR and NLR calculated with receiver operating characteristic (ROC) curve for in-hospital MACE rates. RESULTS: PLR (148±61 vs 101±50, p<0.001) and NLR (3.12±1.4 vs 1.94±1.1, p<0.001) were significantly higher in the CVST group. Furthermore, patients in the high risk group (a PLR of ≥115.0 and an NLR of ≥2.1) had the highest in-hospital MACE rates including seizure (p=0.012), papilledema (p=0.025) and diplopia or blurry vision (p=0.028). After multivariate logistic regression analysis MPV, PLR (1.052 [1.045-1.059], p=0.001) and NLR (1.442 [1.086-1.916], p=0.012) were found as independent predictors of CVST. CONCLUSION: These results suggest that PLR and NLR are easily available and cheap thrombo-inflammatory indicators, so that PLR and NLR could be used in prediction of CVST and in-hospital MACE.