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Chinese Journal of Neurotraumatic Surgery(Electronic Edition) ›› 2021, Vol. 07 ›› Issue (05): 266-270. doi: 10.3877/cma.j.issn.2095-9141.2021.05.003

• Clinical Research • Previous Articles     Next Articles

Clinical value of NLR, PLR and their combined indicators in predicting the prognosis of traumatic brain injury and the construction of prognostic model

Haoyang Chen1, Lei Feng2,()   

  1. 1. Department of Critical Medicine, The First Affiliated Hospital of He’nan University of Science and Technology, Luoyang 471000, China
    2. Department of Neurosurgery, Jining First People’s Hospital, Jining 272000, China
  • Received:2020-11-20 Online:2021-10-15 Published:2021-11-26
  • Contact: Lei Feng

Abstract:

Objective

To study the changes of biochemical and inflammatory indicators in patients with traumatic brain injury (TBI), and to explore the predictive value of peripheral blood neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) on prognosis of patients.

Methods

The general data of 132 patients with TBI admitted to Neurosurgery Department of Jining First People’s Hospital from January 2019 to January 2020 were analyzed retrospectively. According to the GOS score 6 months after injury, the patients were divided into good prognosis group (91 cases) and poor prognosis group (41 cases). The general clinical data and laboratory examination indicators were collected to analyze whether there were any differences in NLR and PLR between the two groups. Multivariate logistic regression was used to analyze the independent risk factors affecting the poor prognosis of TBI. The prognosis model was constructed, and the predictive value of NLR and PLR alone and combined indicators on the prognosis of patients was obtained by receiver operating characteristic curve (ROC) analysis.

Results

There were significant differences in NLR and PLR between the two groups (P<0.05). Multivariate regression analysis showed that age, admission GCS score, NLR and PLR were independent risk factors for poor prognosis at 6 months after injury in TBI patients (P<0.05). According to the independent risk factors obtained in this study, the patient prognosis model was constructed. Model 1: age+GCS score; Model 2: age+GCS score+NLR; Model 3: age+GCS score+PLR; Model 4: age+GCS score+NLR. The ROC curve analysis showed that the area under curve (AUC) of each model were 0.685, 0.822, 0.671 and 0.864 respectively. The AUC of model 4 is the largest, which indicates that the prediction accuracy of model 4 is the highest.

Conclusion

NLR, PLR and their combined indicators have certain predictive value for the prognosis of TBI patients. The greater the NLR and PLR values, the greater the possibility of poor prognosis in 6 months of TBI patients. The accuracy of NLR, PLR combined with age and GCS score in predicting the prognosis of TBI patients is significantly improved.

Key words: Traumatic brain injury, Neutrophil to lymphocyte ratio, Platelet to lymphocyte ratio, Prognosis

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