The clinical value of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) for predicting the occurrence and severity of pneumonia in patients wi
Inflammatory mechanisms play important roles in intracerebral hemorrhage (ICH) and have been linked to the development of stroke-associated pneumonia (SAP). The neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) are inflammatory indexes that influence systemic inflammatory responses after stroke. In this study, we aimed to compare the predictive value of the NLR, SII, SIRI and PLR for SAP in patients with ICH to determine their application potential in the early identification of the severity of pneumonia.
Patients with ICH in four hospitals were prospectively enrolled. SAP was defined according to the modified Centers for Disease Control and Prevention criteria. Data on the NLR, SII, SIRI and PLR were collected at admission, and the correlation between these factors and the clinical pulmonary infection score (CPIS) was assessed through Spearman's analysis.
A total of 320 patients were enrolled in this study, among whom 126 (39.4%) developed SAP. The results of the receiver operating characteristic (ROC) analysis revealed that the NLR had the best predictive value for SAP (AUC: 0.748, 95% CI: 0.695-0.801), and this outcome remained significant after adjusting for other confounders in multivariable analysis (RR=1.090, 95% CI: 1.029-1.155). Among the four indexes, Spearman's analysis showed that the NLR was the most highly correlated with the CPIS (r=0.537, 95% CI: 0.395-0.654). The NLR could effectively predict ICU admission (AUC: 0.732, 95% CI: 0.671-0.786), and this finding remained significant in the multivariable analysis (RR=1.049, 95% CI: 1.009-1.089, P=0.036). Nomograms were created to predict the probability of SAP occurrence and ICU admission. Furthermore, the NLR could predict a good outcome at discharge (AUC: 0.761, 95% CI: 0.707-0.8147).
Among the four indexes, the NLR was the best predictor for SAP occurrence and a poor outcome at discharge in ICH patients. It can therefore be used for the early identification of severe SAP and to predict ICU admission.
Wang RH
,Wen WX
,Jiang ZP
,Du ZP
,Ma ZH
,Lu AL
,Li HP
,Yuan F
,Wu SB
,Guo JW
,Cai YF
,Huang Y
,Wang LX
,Lu HJ
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《Frontiers in Immunology》
Association of Neutrophil to Lymphocyte Ratio on 90-Day Functional Outcome in Patients with Intracerebral Hemorrhage Undergoing Surgical Treatment.
The inflammatory response plays a vital role in the pathologic mechanism of intracerebral hemorrhage. It recently has been reported that neutrophil to lymphocyte ratio (NLR) could represent a novel composite inflammatory marker for predicting the prognosis of intracranial hemorrhage (ICH). However, in considering the effects of surgical evacuation on the initiation of inflammatory responses, the relationship between NLR and functional outcome of patients with ICH after surgical treatment is still controversial. Here, we aimed to assess the predictive value of admission NLR and other available laboratory parameters for 90-day outcome of patients with ICH undergoing neurosurgical treatment.
In total, 104 patients with acute ICH admitted to West China Hospital from October 2016 to January 2018 were retrospectively enrolled. Admission absolute neutrophil count, lymphocyte count, and white blood count were extracted from electronic medical records of patents with ICH. The associations between outcome and laboratory biomarkers were assessed by multivariable logistic regression analysis. The comparison of predictive power of independent predictors was evaluated by receiver operating characteristic curves.
In total, 59 patients with ICH who underwent surgical treatment exhibited unfavorable outcomes, which was associated with greater admission NLR (odds ratio [OR] 0.692, 95% confidence interval [CI] 0.518-0.925, P = 0.01; OR 1.148, 95% CI 1.078-1.222, P < 0.01; OR 1.215, 95% CI 1.015-1.454, P = 0.03), lower Glasgow Coma Scale score, and larger hematoma. NLR showed the best predictive power by comparing with other laboratorial variables (area under the curve 0.668, 95% CI 0.569-0.757, P < 0.01) and also was found to linearly correlate with Glasgow Coma Scale score at admission, hematoma volume, absolute neutrophil count, absolute lymphocyte count, and hydrocephalus. Meanwhile, the best predictive cutoff point of 6.46 for NLR also was identified.
Other than the association of prognosis of patients with ICH, NLR exhibited potential independent predictive ability for 90-day functional outcomes of patients with ICH after surgery.
Zhang F
,Tao C
,Hu X
,Qian J
,Li X
,You C
,Jiang Y
,Yang M
... -
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The trend of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in spontaneous intracerebral hemorrhage and the predictive value of short-term postoperative prognosis in patients.
Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) play an important role in the inflammatory response in various diseases, but the role in the course of spontaneous intracerebral hemorrhage (ICH) is unclear.
This study retrospectively collected baseline characteristics and laboratory findings, including NLR and PLR at different time points, from spontaneous ICH patients undergoing surgery between January 2016 and June 2021. Patients were scored using the modified Rankin Scale (mRS) to evaluate their functional status at 30 days post-operation. Patients with mRS score ≥3 were defined as poor functional status, and mRS score <3 was defined as good functional status. The NLR and PLR were calculated at admission, 48 h after surgery and 3-7 days after surgery, respectively, and their trends were observed by connecting the NLR and PLR at different time points. Multivariate logistic regression analysis was used to identify independent risk factors affecting the prognosis of ICH patients at 30 days after surgery.
A total of 101 patients were included in this study, and 59 patients had a poor outcome at 30 days after surgery. NLR and PLR gradually increased and then decreased, peaking at 48 h after surgery. Univariate analysis demonstrated that admission Glasgow Coma Scale (GCS) score, interval from onset to admission, hematoma location, NLR within 48 h after surgery and PLR within 48 h after surgery were associated with poor 30-day prognosis. In multivariate logistic regression analysis, NLR within 48 h after surgery (OR, 1.147; 95% CI, 1.005, 1.308; P, 0.042) was an independent risk factor for 30-day after surgery prognosis in spontaneous ICH patients.
In the course of spontaneous intracerebral hemorrhage, NLR and PLR initially increased and subsequently decreased, reaching their peak values at 48 h after surgery. High NLR within 48 h after surgery was an independent risk factor for poor prognosis 30 days after surgery in spontaneous ICH patients.
Zhang J
,Liu C
,Hu Y
,Yang A
,Zhang Y
,Hong Y
... -
《Frontiers in Neurology》
Neutrophil and Platelet to Lymphocyte Ratios in Associating with Blood Glucose Admission Predict the Functional Outcomes of Patients with Primary Brainstem Hemorrhage.
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.
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.
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).
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.
Fan Z
,Hao L
,Chuanyuan T
,Jun Z
,Xin H
,Sen L
,Juan Q
,Cao Y
,Mu Y
... -
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