z-logo
open-access-imgOpen Access
Neutrophil to lymphocyte ratio predicts early growth of traumatic intracerebral haemorrhage
Author(s) -
Zhuang Dongzhou,
Sheng Jiangtao,
Peng Guoyi,
Li Tian,
Cai Shirong,
Din Faxiu,
Li Lianjie,
Huang Mindong,
Tian Fei,
Li Kangsheng,
Wang Shousen,
Chen Weiqiang
Publication year - 2021
Publication title -
annals of clinical and translational neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.824
H-Index - 42
ISSN - 2328-9503
DOI - 10.1002/acn3.51409
Subject(s) - medicine , neutrophil to lymphocyte ratio , traumatic brain injury , univariate analysis , multivariate analysis , logistic regression , intracerebral hemorrhage , retrospective cohort study , cohort , lymphocyte , subarachnoid hemorrhage , psychiatry
Abstract Objective The neutrophil to lymphocyte ratio (NLR) has been proposed to capture the inflammatory status of patients with various conditions involving the brain. This retrospective study aimed to explore the association between the NLR and the early growth of traumatic intracerebral haemorrhage (tICH) in patients with traumatic brain injury (TBI). Methods A multicentre, observational cohort study was conducted. Patients with cerebral contusion undergoing baseline computed tomography for haematoma volume analysis within 6 h after primary injury and follow‐up visits within 48 h were included. Routine blood tests were performed upon admission, and early growth of tICH was assessed. Prediction accuracies of the NLR for the early growth of tICH and subsequent surgical intervention in patients were analysed. Results There were a total of 1077 patients who met the criteria included in the study cohort. Univariate analysis results showed that multiple risk factors were associated with the early growth of tICH and included in the following multivariate analysis models. The multivariate logistic regression analysis results revealed that the NLR was highly associated with the early growth of tICH ( p  < 0.001) while considering other risk factors in the same model. The prediction accuracy of the NLR for the early growth of tICH in patients is 82%. Interpretation The NLR is easily calculated and might predict the early growth of tICH for patients suffering from TBI.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here