Neutrophil and Platelet to Lymphocyte Ratios in Associating with Blood Glucose Admission Predict the Functional Outcomes of Patients with Primary Brainstem Hemorrhage.

Background: Because of a lack of markers for predicting prognosis and an underlying mechanism, patients with primary brainstem hemorrhage (PBH) are currently treated with multiple strategies, but most of them have poor outcomes in a comparison with patients with supratentorial intracranial hemorrhage. Recently, it has been reported that the neutrophil-to-lymphocyte ratio (NLR) represents a novel composite inflammatory marker to predict the prognosis of patients with intracranial hemorrhage, a majority of whom have supratentorial hemorrhage. In this report, we aim to assess the potential predictive value of NLR in patients with PBH. In addition, other available laboratory parameters, including platelet-to-lymphocyte ratio (PLR), and admission blood glucose level (ABG), will be also investigated as markers for prognosis in patients with PBH.

Methods: This study retrospectively enrolled 225 patients with acute PBH who were admitted West China Hospital from January 2012 to December 2016. ABG and absolute numbers of neutrophils, lymphocytes, white blood cells, and platelets were extracted from electronic medical records. ABG, NLR, and PLR were calculated and further assessed using multivariable logistic regression analysis for understanding the associations of treatment outcomes. The comparison of predictive power of independent predictors was evaluated using receiver operating characteristic.

Results: Of 225 inpatients, NLR (odds ratio [OR], 1.82; 95% confidence interval [CI], 1.24-2.62, P < 0.01), PLR (OR, 1.43; 95% CI, 1.11-2.36; P = 0.013), and ABG (OR, 6.57; 95% CI, 2.78-15.52; P < 0.01) were independently associated with 90-day status in 112 patients with unfavorable outcomes. All 3 parameters also correlated with admission Glasgow Coma Scale score (r = -0.244, P < 0.001; r = -0.292, P < 0.001; r = -0.661, P < 0.01) and absolute neutrophil counts (r = 0.645, P < 0.001; r = 0.347, P < 0.001; r = 0.695, P < 0.01). Meanwhile, NLR exhibits a comparable predictive power by comparing with PLR (area under the curve [AUC], 0.694; 95% CI, 0.626-0.764; P < 0.001; versus AUC, 0.662; 95% CI, 0.596-0.724; P < 0.001). In addition, ABG shows a positive predictive value (AUC, 0.784; 95% CI, 0.725-0.832; P < 0.001). The best independent predictive cutoff points were 6.65, 59.3, and 7.81 mmol/L for NLR, PLR, and ABG, respectively. Nevertheless, a combination of 3 parameters shows the best predictive ability (AUC, 0.835; 95% CI, 0.781-0.883; P < 0.001).

Conclusions: NLR, PLR, and ABG can be used to independently predict 90-day functional outcome in patients after PBH. When combined, they have better predictive power in identifying PBH patients with a poor prognosis. To our knowledge, this study is the first to reveal the associations between NLR, PLR, and hyperglycemia and the functional outcomes of patient with PBH. In associating with previously studies on hemorrhage site, our results provide a good opportunity to elucidate the underlying mechanisms of PBH.