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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.

Our case–control study of 60 patients with PsV, 20 patients with PsA, and 34 healthy control participants in Ho Chi Minh City Hospital of Dermato-Venereology from October 2019 to September 2020 aimed to evaluate the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and associated factors in patients with psoriasis vulgaris (PsV) and PsA. Results showed that in the PsV group, significant correlations of NLR with PASI and the hs-CRP level was noted (r=0.374 and r=0.352, respectively; p=0.003 and p=0.006, respectively). NLR was also related to PsA (p=0.007, OR=1.57). The area under the curve (AUC) for NLR in predicting PsA was 0.7554 (cut-off, 2.239; sensitivity, 85%; specificity, 61.67%). PLR was also related to PsA (p=0.008, OR=1.01). The AUC for PLR was 0.6513 (cut-off, 159.6; sensitivity, 55%; specificity, 88.33%). Thus, complete blood count parameters can reflect the inflammatory status of patients with PsV and PsA. NLR and PLR may be potential diagnostic markers for PsA in patients with psoriasis. Future studies should aim to assess the value and usage of these parameters.

To investigate the role of neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) in the prediction of spontaneous preterm birth. Data was retrospectively collected from hospital record between February 2018 and November 2022. Pregnant women (n = 78) with a single pregnancy between 24 and 34 weeks of gestation, presented with labor pain, and had regular uterine contractions (threatened preterm labor - TPL) were included. Patients delivered within the first week after TPL were included in group 1 (n = 40) and who delivered after in group 2 (n = 38). Two groups were investigated for NLR and PLR values. The median cervical length among women who gave birth within a week was significantly lower (24.5 versus 30.0 p < 0.001). The median neutrophil-to-lymphocyte ratio among women who gave birth within a week was significantly higher (6.4 versus 4.5 p < 0.001). The median platelet-to-lymphocyte ratio among women who gave birth within a week was significantly higher (151 versus 131 p < 0.001). The cut-off values to predict preterm birth were >5 for NLR (sensitivity: 90%, specificity: 92.1%), >139 for PLR (sensitivity: 97.5%, specificity: 100%). NLR and PLR values predict spontaneous preterm birth with high sensitivity and specificity. By predicting preterm birth, the pregnancy process can be managed sensitively and smoothly.

Elevated platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) are associated with poor outcomes in various diseases. The objectives of this study were to explore the utility of PLR and NLR in predicting all-cause mortality in patients with diabetic foot ulcers (DFU) undergoing amputations. A retrospective observational study was performed that included a total of 348 DFU patients undergoing amputations. The primary end-point was all-cause death. According to the PLR and NLR cut-off values, patients were divided into two groups and Kaplan-Meier survival curves were constructed. Multivariable Cox regression was conducted to test the independent predictors of mortality in the study cohort. All-cause mortality was significantly higher in patients with a high PLR/NLR compared to those with a low PLR/NLR. In the low NLR group, the overall survival (OS) rates at 1, 3, and 5 years after amputation were 96.8%, 84% and 80.1%, respectively ( =0.001). In the high NLR group the corresponding OS rates at 1, 3, and 5 years were 85.2%, 58.6% and 23.9% ( <0.001). According to the multivariate analysis, age (HR 1.074, 95% CI 1.045-1.104, p<0.001), Wagner classification (HR 2.274, 95% CI 1.351-3.828, p=0.002), PLR (HR 1.794, 95% CI 1.014-3.174, p=0.045), NLR (HR 2.029, 95% CI 1.177-3.499, p=0.011), creatinine (HR 1.003, 95% CI 1.001-1.004, p<0.001) and direct bilirubin (HR 1.154, 95% CI 1.081-1.232, p<0.001) were independent predictors of mortality following amputation. Postoperative PLR and NLR values may be reliable predictive biomarkers of mortality in patients following amputation for DFU. Considering the high mortality in those patients, the patients with elevated PLR/NLR should be given more intensive in clinical practice.

Inflammation plays a major role in cancer development and progression and has the potential to be used as a prognostic marker in cancer. Previous studies have attempted to evaluate Platelet-to-lymphocyte ratio (PLR), neutrophil–lymphocyte ratio (NLR) or monocyte–lymphocyte ratio (MLR) as indicators of inflammation/prognostic markers in cancer, but there is no common consensus on their application in clinical practice. The aim of this systematic review and meta-analysis is to (a) assess the prognostic efficacy of all three prognostic markers in comparison to each other and (b) investigate the prognostic potential of these three markers in HNC. The study followed PRISMA guidelines, with the literature being collated from multiple bibliographic databases. Preliminary and secondary screening were carried out using stringent inclusion/exclusion criteria. Meta-analysis was carried out on selected studies using CMA software and HR as the pooled effect size metric. A total of 49 studies were included in the study. The pooled HR values of PLR, NLR and MLR indicated that they were significantly correlated with poorer OS. The pooled effect estimates for PLR, NLR and MLR were 1.461 (95% CI 1.329–1.674), 1.639 (95% CI 1.429–1.880) and 1.002 (95% CI 0.720–1.396), respectively. Significant between-study heterogeneity was observed in the meta-analysis of all three. The results of this study suggest that PLR, NLR and MLR ratios can be powerful prognostic markers in head and neck cancers that can guide treatment. Further evidence from large-scale clinical studies on patient cohorts are required before they can be incorporated as a part of the clinical method. PROSPERO Registration ID: CRD42019121008

In this study, we aimed to investigate and compare the prognostic impacts of C-reactive protein (CRP), white blood cell (WBC) count, neutrophil (NEU)-to-lymphocyte (LYM) ratio (NLR), platelet-to-lymphocyte ratio (PLR), Red Cell Distribution Width (RDW) biomarkers in laboratory-confirmed COVID-19 cases as well as to explore the most useful diagnostic biomarkers and optimal cutoff values in COVID-19 patients. A total of 233 patients were admitted to Emergency Department (ED) of Pamukkale University Hospital during two months (March–April 2020) and underwent Sars CoV-2 PCR (Polymerase Chain Reaction), complete blood count (CBC), and CRP tests in sequence due to complaints of COVID-19. The laboratory results and demographic findings were collected from the public health management system retrospectively. The patients with positive Sars CoV-2 PCR test along with hospitalization data were also recorded. The CRP (p = 0.0001), lactate dehydrogenase (LDH) (p = 0.038), PLR (p = 0.0001) and NLR (p = 0.001) remained significantly higher in the patients with positive Sars CoV-2 PCR test result. By contrast, eosinophil (p = 0.0001), lymphocyte (p = 0.0001), platelet levels (p = 0.0001) were calculated as significantly higher in negative Sars CoV-2 patients. In the light of the obtained results, the CRP, LDH, PLR and NLR levels remained significantly higher in COVID-19 positive patients, while eosinophil, lymphocyte, and platelet levels were significantly elevated in COVID-19 negative patients.

Background Acute venous thromboembolism (VTE) refers to deep venous thrombosis (DVT) of the extremities or pulmonary embolism (PE), or to both. Reliable imaging is not always available making a serologic diagnosis, or biomarker, highly desirable. Objective This study aimed to examine the role of neutrophil‐lymphocyte ratio (NLR), platelet‐lymphocyte ratio (PLR), and mean platelet volume (MPV) in detection patients with acute VTE. Methods A total of 327 patients with initial diagnosis of acute VTE who were admitted to Ziv hospital were evaluated. Of them, 272 patients with definitive diagnosis of VTE, and 55 patients without VTE were used as control group. Complete blood count (CBC), measurements of NLR, MPV, and PLR were determined at admission. Results Patients with VTE were older than controls (62 ± 18.9 vs 55.4 ± 15.1 years, respectively, P = .03). Female gender was predominant in the two groups. In the study group, 178/272 (66%) had DVT, 84/272 (31%) had pulmonary embolism (PE), and the rest had DVT and PE. NLR, MPV, and PLR were found to be significantly elevated in acute VTE compared to control (P < .001, P = .008, P = .014, respectively). A ROC curve analysis of NLR and MPV for predicting acute VTE was performed which found a cut‐off value of 5.3 for NLR, an area under curve of (0.67 (0.60‐0.75), P < .001, with a sensitivity of 69% and specificity of 57%. and a cut‐off value of 8.6 for MPV, an area under curve of (0.61 [0.53‐0.68], P = .014, with a sensitivity of 52% and specificity of 67%. Multivariate logistic regression model found that NLR (OR 1.2, 95% CI [1.01‐1.4], P = .041) and MPV (OR 1.5, 95%CI [1.07‐2.12], P = .5) were associated with acute VTE. Conclusions Neutrophil‐lymphocyte ratio and MPV could be beneficial predictors for the early detection of potential acute VTE.

The aim of our retrospective study was search for new prognostic parameters, which can help quickly and cheaply identify patients with risk for severe course of SARS-CoV-2 infection. The following peripheral blood combination biomarkers were calculated: NLR (neutrophil/lymphocytes ratio), LMR (lymphocyte/monocyte ratio), PLR (platelet/lymphocyte ratio), dNLR (neutrophils/(white blood cells - neutrophils)), NLPR (neutrophil/(lymphocyte × platelet ratio)) in 374 patients who were admitted to the Temporary Hospital no 2 of Clinical Hospital in Bialystok (Poland) with COVID-19. The patients were divided into four groups depending on the severity of the course of COVID-19 using MEWS classification. The NLR and dNLR were significantly increased with the severity of COVID-19, according to MEWS score. The AUC for the assessed parameters was higher in predicting death in patients with COVID-19: NLR (0.656, p=0.0018, cut-off=6.22), dNLR (0.615, p=0.02, cut-off=3.52) and LMR (0.609, p=0.03, cut-off=2.06). Multivariate COX regression analysis showed that NLR median above 5.56 (OR: 1.050, P=0.002), LMR median below 2.23 (OR: 1.021, P=0.011), and age >75 years old (OR: 1.072, P=0.000) had a significant association with high risk of death during COVID-19. Our results indicate that NLR, dNLR, and LMR calculated on admission to the hospital can quickly and easy identify patients with risk of a more severe course of COVID-19. Increase NLR and decrease LMR have a significant predictive value in COVID-19 patient's mortality and might be a potential biomarker for predicting death in COVID-19 patients.

Abstract Context Preoperative inflammatory markers, such as the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR), have recently been proposed as prognostic markers in different tumors. However, their predictive values in patients with pheochromocytomas and paragangliomas (PPGLs) are uncertain. Objective This study aimed to investigate the prognostic significance of inflammatory biomarkers in PPGL patients. Methods Data from 1247 consecutive PPGL patients between 2002 and 2020 were evaluated. The preoperative inflammatory markers were evaluated. The prognostic roles were identified by X-tile software, Kaplan-Meier curves, and Cox regression models. Results A total of 728 patients were included in the analysis, with a median follow-up of 63 months (IQR, 31-111 months); 31 individuals died, 28 patients developed metastases, and 12 patients developed recurrence. Our study showed that deaths were observed significantly more frequently in patients with high NLR(≥3.5) and high PLR (≥217.4) than those with low NLR (<3.5) (P = .003) and low PLR (<217.4) (P = .005). Elevated NLR (≥3.5) and elevated PLR (≥217.4) was significantly associated with decreased overall survival (OS) (P = .005), and elevated PLR (≥238.3) was significantly associated with decreased metastasis-free survival (MFS) (P = .021). Cox models illustrated that NLR and PLR were independent prognostic factors for OS, and PLR was an independent prognostic factor for MFS. Conclusion Both elevated NLR and PLR are associated with poor prognosis in PPGLs. They are convenient predictive markers that could be used in daily clinical practice.

Background/Aims: Systemic inflammatory response (SIR) is widely considered as a preoperative risk factor for hepatocellular carcinoma (HCC) outcomes. The neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR), two of the prognostic indices, have been investigated in post-therapeutic recurrence and survival of HCC. Here, we quantify the prognostic value of these two biomarkers and evaluate their consistency in different HCC therapies. Methods: A systematic review of electronic database of the Web of Science, Embase, PubMed and the Cochrane Library was conducted to search for associations between the NLR and PLR in the blood and clinical outcomes of HCC. Overall survival (OS) and recurrence-free survival (RFS) were the primary outcomes, and hazard ratios (HRs) and 95% confidence intervals (95% CIs) were explored as effect measures. Subgroup analyses were performed to explore the heterogeneity of different therapies. Results: A total of 24 articles comprising 6318 patients were included in the meta-analysis. Overall, the pooled outcomes revealed that a high NLR before treatment predicted a poor OS (HR: 1.54, 95% CI: 1.34 to 1.76, p<0.001) and poor RFS (HR: 1.45, 95% CI: 1.16 to 1.82, p=0.001). Moreover, an increased PLR predicted a poor OS (HR: 1.63, 95% CI: 1.34 to 1.98, p<0.001) and earlier HCC recurrence (HR: 1.52, 95% CI: 1.21 to 1.91, p<0.001). In addition, both the NLR and PLR were identified as independent risk factors for predicting OS and RFS in HCC patients in a subgroup analysis of different treatment types, including curative or palliative therapy; however, these results were not found in the sorafenib subgroup due to limited clinical research. Conclusion: An increased NLR or PLR indicated poor outcomes for patients with HCC. The NLR and PLR may be considered as reliable and inexpensive biomarkers for making clinical decisions regarding HCC treatment.