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BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR) is an independent predictor of clinical outcome of different diseases, such as acute ischemic stroke, intracerebral hemorrhage, malignant tumor, and traumatic brain injury. However, the prognostic value of NLR plus admission Glasgow Coma Scale score (NLR-GCS) is still unclear in patients with diffuse axonal injury (DAI). Therefore this study assessed the relationship between the NLR-GCS and 6-month outcome of DAI patients. METHODS: The clinical characteristics of DAI patients admitted to our department between January 2014 and January 2020 were retrospectively analyzed. The candidate risk factors were screened by using univariate analysis, and the independence of resultant risk factors was evaluated by the binary logistic regression analysis and least absolute shrinkage and selection operator regression analysis. The predictive value of NLR-GCS in an unfavorable outcome was assessed by the receiver operating characteristics curve analysis. RESULTS: A total of 93 DAI patients were included. Binary logistic regression analysis and least absolute shrinkage and selection operator regression analysis showed the level of NLR on admission was an independent risk factor of unfavorable outcomes in DAI patients. The ROC curve analysis showed that the predictive capacity of the combination of NLR and admission GCS score and combination of NLR and coma duration outperformed NLR, admission GCS score, and coma duration alone. CONCLUSIONS: The higher NLR level on admission is independently associated with unfavorable outcomes of DAI patients at 6 months. Furthermore, the combination of NLR and admission GCS score provides the superior predictive capacity to either NLR or GCS alone.

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BACKGROUND: Predicting left ventricle (LV) remodeling is important for outcome prediction in patients with ST-segment elevation myocardial infarction (STEMI). Novel echocardiographic techniques may be beneficial for those patients. OBJECTIVES: We hypothesized that the semiautomated calculation of baseline global longitudinal strain (GLS) can predict LV remodeling and 6-month clinical outcomes in these patients. METHODS: During the period from March to December 2018, 130 patients with successful reperfusion of STEMI were prospectively included. Within 48 hours, patients underwent a baseline GLS study with follow-up study at 6 months. Patients were divided into two groups: group I: patients who showed adverse LV remodeling and group II: patients who did not. The endpoint was a composite of cardiovascular mortality, readmission due to heart failure, and urgent revascularization. RESULTS: The mean baseline GLS changed from -13.1 ± 3.5% for group I and -16.8 ± 3.1% for group II, to -10.2 ± 4.7% and -12.6 ± 3.1%, respectively, at 6-month follow-up. ROC analysis demonstrated a cutoff value of baseline GLS > -12.5% predicted LV remodeling with 64.5% sensitivity and 89% specificity (AUC 0.797, 95% CI 0.690-0.904). Multivariate logistic regression analysis model using 6-month MACEs occurrence as a dependent factor showed baseline GLS value> -12.5% to be the only significant independent predictor MACEs occurrence (OR 0.704, 95% CI 0.597-0.829, P < .001). Linear regression analysis showed that for every point estimate deterioration of baseline GLS, there was a significant corresponding 2.55 mL increase in LVEDV at 6-month follow-up (CI -4.501 to -0.612, P = .01). CONCLUSION: GLS measurement can predict remodeling and adverse clinical events in STEMI patients.

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BACKGROUND: Peripheral white blood cells are regularly analyzed on admission for patients with traumatic brain injury (TBI). The prognostic value of the neutrophil-to-lymphocyte ratio (NLR) in predicting the 6-month outcome of patients with TBI is unclear. METHODS: We designed a single-center retrospective cohort study. Patients admitted to Fudan University Huashan Hospital within 6 hours after TBI were identified between December 2004 and December 2017. The primary outcome was 6-month Glasgow Outcome Scale score. Independent predictors of 6-month outcome were assessed using uni- and multivariate analyses. Three models based on admission characteristics were built to evaluate the prognostic value of the NLR in predicting the outcome of patients with TBI. The discriminative ability of predictive models was evaluated by the area under the curve (AUC). RESULTS: A total of 1291 patients with TBI were included. Multivariate analysis showed age, Glasgow Coma Scale scores at admission, subdural hematoma, intraparenchymal hemorrhage, traumatic subarachnoid hemorrhage, NLR (P < 0.001), and coagulopathy (P = 0.028) were independent predictors of 6-month outcome. The model combining the NLR and standard variables (AUC = 0.936; 95% confidence interval [CI], 0.923-0.949) was more favorable in predicting 6-month outcome of patients with TBI than the model without the NLR (AUC = 0.901; 95% CI, 0.883-0.919) and the model based only on the NLR (AUC = 0.827; 95% CI, 0.802-0.852). CONCLUSIONS: NLR is an independent prognostic factor of predicting 6-month outcome of patients with TBI. A high NLR in patients with TBI is associated with poor outcome. The prognostic value of the NLR in predicting 6-month outcome of patients with TBI is favorable.