Correlation of platelet to lymphocyte and neutrophil to lymphocyte ratio with hormonal and metabolic parameters in women with PCOS

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Vasilios Pergialiotis ◽  
Eftihios Trakakis ◽  
Christos Parthenis ◽  
Erifili Hatziagelaki ◽  
Charalampos Chrelias ◽  
...  
Keyword(s):  
Complete Blood Count ◽  
Density Lipoprotein ◽  
Free Testosterone ◽  
Neutrophil To Lymphocyte Ratio ◽  
Metabolic Parameters ◽  
Sex Hormone Binding Globulin ◽  
Low Grade ◽  
Lymphocyte Ratio ◽  
Matsuda Index ◽  
Metabolic Indices

Abstract Background The purpose of our study is to evaluate the association of platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) with hormonal and metabolic parameters in patients with polycystic ovarian syndrome (PCOS) in order to assess whether these ratios may become useful tools during the evaluation of the severity of low grade inflammation. Methods The present study is based in secondary outcomes from a prospectively collected patient database. A total of 266 women with PCOS participated in this study and blood a complete blood count examination (CBC) that was used for the calculation of PLR and NLR was available in 182 patients. Results Association statistics revealed that PLR had a significant correlation to 17-OH progesterone (r = −0.177, p = 0.024) and Matsuda index values (r = 0.234, p = 0.009), whereas NLR was correlated with follicle stimulating hormone (FSH) (r = −0.204, p = 0.007), free testosterone (r = 320, p < 0.001), Δ4-androstendione (r = 0.234, p = 0.003), sex hormone binding globulin (SHBG) (r = −0.350, p < 0.002) and high-density lipoprotein (HDL) (r = −0.171, p = 0.039). Conclusion According to the findings of our study, both PLR and NLR seem to be correlated with some hormonal and metabolic indices. This association is clearer in the case of NLR and serum androgens as it seems to be positively affected by their levels. PLR and NLR were not affected by the presence of obesity.

Comparative Study of Chemerin and Inflammatory markers between Obese with Insulin Resistance and lean healthy women

2021 ◽  
pp. 3647-3650
Author(s):  
Moushira Zaki ◽  
Sanaa Kamal ◽  
Mona Abd Elmotaleb A. Hussein ◽  
Hend M. Tawfeek ◽  
Mina Wassef Girgiss ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Inflammatory Marker ◽  
Neutrophil To Lymphocyte Ratio ◽  
Metabolic Parameters ◽  
Low Grade ◽  
Obese Women ◽  
Fat Percentage ◽  
Inflammatory Biomarker ◽  
Lymphocyte Ratio ◽  
Healthy Women

Background: Chemerin has been newly defined to be released from mature adipocytes and the chemerin concentrations in human serum augmented with obesity. There is a subclinical chronic low-grade inflammatory response where insulin resistance (IR) may develop. The aim of this study is to expound the prospective role of chemerin the in inflammation. Also, investigate relation between chemerin and serum lipid, glucose, body fat percentage, and metabolic parameters in obese and lean women with IR. Lymphocytes and neutrophils play a major role in inflammation and comprise the first line of defense against infection. The ratio of absolute neutrophil count to lymphocyte count, the neutrophil-to-lymphocyte ratio (NLR), determined as is a novel inflammatory biomarker utilized as a prognostic factor in numerous diseases Methods: This study was designed to investigate serum chemerin, NLR, and high-sensitive C-reactive protein (hsCRP) levels in 50 obese women with IR and 50 lean healthy women. Results: Obese group had significant higher levels of serum chemerin, NLR, hsCRP levels and metabolic parameters than lean one. Chemerin also correlated positively with NLR inflammatory marker and body mass index (BMI). Neutrophil‐to‐lymphocyte ratio was related to pro‐inflammatory Conclusion: The present study elucidates that chemerin levels are concomitant with obesity and IR and could play a role in the inflammation, having key aspects of metabolic syndrome.

scholarly journals Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio and Their Role as Predictors of Disease Severity of Coronavirus Disease 2019 (COVID-19)

2021 ◽  
Author(s):  
Rohit Jain ◽  
Arun Gopal ◽  
Basant Kumar Pathak ◽  
Sourya Sourabh Mohakuda ◽  
TVSVGK Tilak ◽  
...  
Keyword(s):  
Disease Severity ◽  
Complete Blood Count ◽  
Wide Spectrum ◽  
Statistical Significance ◽  
Severe Disease ◽  
Neutrophil To Lymphocyte Ratio ◽  
Screening Tools ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Time Of Admission

Abstract Context Due to the wide spectrum of clinical illness in coronavirus disease 2019 (COVID-19) patients, it is important to stratify patients into severe and nonsevere categories. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been evaluated rapidly by a few studies worldwide for its association with severe disease, but practically none have been conducted in the Indian population. This study was undertaken to examine the role of NLR and PLR in predicting severe disease in Indian patients. Objectives The objective was to study the association of NLR and PLR observed at the time of admission with maximum disease severity during hospitalization and to study their role in predicting disease severity. Material and Methods A total of 229 COVID-19 patients were admitted at the center during the study period. After applying inclusion and exclusion criteria, 191 patients were included in the study. The demographic, clinical, and laboratory (complete blood count, NLR, and PLR) data of all patients were obtained at the time of admission. Maximum disease severity of all patients was assessed during hospitalization. Statistical Analysis Chi-square and Mann–Whitney U tests were used to assess statistical significance. Receiver operating characteristic curve (ROC) was plotted for NLR and PLR to estimate the cutoff values and sensitivity and specificity using Youden’s index for predicting severe disease. Logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals. Results Mean NLR and PLR were significantly higher in severe patients (NLR = 7.41; PLR = 204) compared with nonsevere patients (NLR = 3.30; PLR = 121). ROC analysis showed that NLR, in comparison to PLR, had a higher area under the curve (AUC) of 0.779, with a larger OR of 1.237 and cutoff of 4.1, and showed 69% sensitivity and 78% specificity in predicting severe disease. Cut off for PLR was 115.3, which showed 79% sensitivity and 62% specificity in predicting severe disease. Conclusion NLR and PLR, both showing acceptable AUCs, can be used as screening tools to predict disease severity. However, NLR was a better predictor of disease severity.

scholarly journals A High Neutrophil-to-Lymphocyte Ratio Predicts Higher Risk of Poststroke Cognitive Impairment: Development and Validation of a Clinical Prediction Model

2022 ◽  
Vol 12 ◽  
Author(s):  
Fei Zha ◽  
Jingjing Zhao ◽  
Cheng Chen ◽  
Xiaoqi Ji ◽  
Meng Li ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Prediction Model ◽  
Univariate Analysis ◽  
Density Lipoprotein ◽  
Neutrophil To Lymphocyte Ratio ◽  
Prognostic Information ◽  
Lymphocyte Ratio ◽  
Neuropsychological Assessments ◽  
Development And Validation ◽  
State Examination

ObjectivePoststroke cognitive impairment (PSCI) is a serious complication of stroke. The neutrophil-to-lymphocyte ratio (NLR) is a marker of peripheral inflammation. The relationship between the NLR and PSCI is far from well studied, and the thesis of this study was to assess the predictive value of the NLR in patients with PSCI, and establish and verify the corresponding prediction model based on this relationship.MethodsA total of 367 stroke patients were included in this study. Neutrophils, lymphocytes, and NLRs were measured at baseline, and clinical and neuropsychological assessments were conducted 3 months after stroke. The National Institutes of Health Scale (NIHSS) was used to assess the severity of stroke. A Chinese version of the Mini Mental State Examination (MMSE) was used for the assessment of cognitive function.ResultsAfter three months of follow-up, 87 (23.7%) patients were diagnosed with PSCI. The NLR was significantly higher in PSCI patients than in non-PSCI patients (P &lt; 0.001). Patient age, sex, body mass index, NIHSS scores, and high-density lipoprotein levels also differed in the univariate analysis. In the logistic regression analysis, the NLR was an independent risk factor associated with the patients with PSCI after adjustment for potential confounders (OR = 1.67, 95%CI: 1.21–2.29, P = 0.002). The nomogram based on patient sex, age, NIHSS score, and NLR had good predictive power with an AUC of 0.807. In the validation group, the AUC was 0.816.ConclusionAn increased NLR at admission is associated with PSCI, and the model built with NLR as one of the predictors can increase prognostic information for the early detection of PSCI.

scholarly journals Correlations between Hippocampal Neurogenesis and Metabolic Indices in Adult Nonhuman Primates

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Tarique D. Perera ◽  
Dunyue Lu ◽  
Lakshmi Thirumangalakudi ◽  
Eric L. P. Smith ◽  
Arkadiy Yaretskiy ◽  
...  
Keyword(s):  
Dentate Gyrus ◽  
Nonhuman Primates ◽  
Density Lipoprotein ◽  
B Cell Lymphoma ◽  
Hippocampal Neurogenesis ◽  
Metabolic Parameters ◽  
Crown Rump Length ◽  
Neuronal Marker ◽  
Bonnet Macaques ◽  
Metabolic Indices

Increased neurogenesis in feeding centers of the murine hypothalamus is associated with weight loss in diet-induced obese rodents (Kokoeva et al., 2005 and Matrisciano et al., 2010), but this relationship has not been examined in other species. Postmortem hippocampal neurogenesis rates and premortem metabolic parameters were statistically analyzed in 8 chow-fed colony-reared adult bonnet macaques. Dentate gyrus neurogenesis, reflected by the immature neuronal marker, doublecortin (DCX), and expression of the antiapoptotic gene factor, B-cell lymphoma 2 (BCL-2), but not the precursor proliferation mitotic marker, Ki67, was inversely correlated with body weight and crown-rump length. DCX and BCL-2 each correlated positively with blood glucose level and lipid ratio (total cholesterol/high-density lipoprotein). This study demonstrates that markers of dentate gyrus neuroplasticity correlate with metabolic parameters in primates.

scholarly journals Decreased Sex Hormone-Binding Globulin Indicated Worse Biometric, Lipid, Liver, and Renal Function Parameters in Women with Polycystic Ovary Syndrome

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Xi Luo ◽  
Xin-Ming Yang ◽  
Wang-Yu Cai ◽  
Hui Chang ◽  
Hong-Li Ma ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Renal Function ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Metabolic Parameters ◽  
Sex Hormone Binding Globulin ◽  
Hormone Binding ◽  
Ovary Syndrome ◽  
Renal Functions

Objective. To investigate the relationships between sex hormone-binding globulin (SHBG) and comprehensive metabolic parameters including biometric, glycemic, lipid, liver, and renal functions of women with polycystic ovary syndrome (PCOS). Study Design and Methods. A total of 1000 women diagnosed as PCOS by modified Rotterdam criteria were enrolled in a randomized controlled trial. SHBG and comprehensive metabolic parameters were measured at the baseline visit. Metabolic parameters included biometric parameters, glucose and lipid panels, and liver and renal function parameters. An independent t-test and linear regression were performed to investigate the associations between SHBG and metabolic parameters. Logistic regression was used to detect the relationship between SHBG and the presence of metabolic syndrome. Results. In comparative analyses, PCOS women with lower SHBG levels had higher body mass index, waist circumference, insulin, homeostatic model assessment-insulin resistance (HOMA-IR) index, systolic and diastolic blood pressure, triglycerides, apolipoprotein B (APOB), low-density lipoprotein (LDL), aspartate transferase (AST), alanine transferase (ALT), and blood urea nitrogen (BUN), but lower high-density lipoprotein (HDL) and apolipoprotein A1 (APOA1). In linear regression, SHBG was inversely associated with waist circumference, systolic blood pressure, triglyceride, LDL, APOB, ALT, AST, and BUN but positively associated with HDL and APOA1 after adjusting the BMI. In logistic regression, SHBG is a protective predictor for metabolic syndrome (odds ratio = 0.96; 95% confidence interval: 0.95–0.97). The area under the receiver-operator characteristic curve is 0.732 with a 95% confidence interval of 0.695–0.770. SHBG <26.75 mmol/L is the cutoff point with the best Youden index, which has a sensitivity of 0.656 and specificity of 0.698. Conclusions. Lower SHBG was associated with worsening biometric, lipid, liver, and renal functions but not glycemic parameters among women with PCOS. SHBG can be used as a tool to screen metabolic syndrome. This trial is registered with NCT01573858 and ChiCTR-TRC-12002081.

scholarly journals Compared with Monocyte to High-Density Lipoprotein Ratio (MHR) and Neutrophil to Lymphocyte Ratio (NLR),Neutrophil to High-Density Lipoprotein Ratio (NHR) is more Valuable in the Inflammatory Process of Parkinson's Disease

2021 ◽  
Author(s):  
Qingli Fan ◽  
Zhu Liu ◽  
Shizheng Wu ◽  
Yancheng Lei
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
High Density Lipoprotein ◽  
Early Stage ◽  
Density Lipoprotein ◽  
High Density ◽  
Neutrophil To Lymphocyte Ratio ◽  
Control Group ◽  
Course Of Disease ◽  
Lymphocyte Ratio

Abstract Background: Inflammatory response plays an important role in the pathologic process and prognosis of Parkinson's disease (PD).We investigated the relationship between the neutrophil to high-density lipoprotein ratio (NHR),neutrophil to lymphocyte ratio (NLR),and monocyte to high-density lipoprotein ratio (MHR) on the prediction of PD and its course and severity.Methods: Patients with Parkinson's disease were selected (n=101) and divided into three groups according to the onset cycle:<6 years (n=64),6-10 years (n=23) and > 10 years(n=14).And according to Hoehn and Yahr classification: 1~2.5 is the early stage (n=55);Grades 3~5 are divided into two groups (n=46).In addition, healthy subjects (n=97) matched with the above pd patients in the same period were selected as the control group.In this way, the influence of NHR, NLR, MHR and other indicators on corresponding groups is evaluated.Results: Neutrophils, NHR and NLR in PD group were significantly higher than those in control group. nevertheless, lymphocyte, total cholesterol, low density lipoprotein and hemoglobin were significantly lower than those in the control group. Multi-factor logistic regression analysis indicated that NHR (odds ratio (OR)=1.456,95%CI:1.007~2.104,P=0.046) and NLR(OR=1.663,95%CI:1.101~2.513,P=0.016) were risk factors for Parkinson's disease, while MHR had no significant correlation with Parkinson's disease. The AUC(area under the ROC curve) of PD predicted by NHR and NLR were 0.648(95%CI:0.572~0.724,P=0.0003) and 0.718 (95%CI:0.646~0.790,P<0.0001),respectively, and the critical values for optimal diagnosis were3.104×109/mmol and 1.939×109/mmol. Spearman analysis showed that NHR was significantly negatively correlated with the course of disease.Conclusions: In summary, NHR not only has strong predictive value for PD disease, but also is closely related to the course of disease. NHR levels may be better predictors of long-term clinical outcomes in PD patients than MHR and NLR.

scholarly journals Compared with the monocyte to high-density lipoprotein ratio (MHR) and the neutrophil to lymphocyte ratio (NLR), the neutrophil to high-density lipoprotein ratio (NHR) is more valuable for assessing the inflammatory process in Parkinson’s disease

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhu Liu ◽  
Qingli Fan ◽  
Shizheng Wu ◽  
Yaqi Wan ◽  
Yancheng Lei
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
High Density Lipoprotein ◽  
Predictive Value ◽  
Disease Duration ◽  
Density Lipoprotein ◽  
High Density ◽  
Neutrophil To Lymphocyte Ratio ◽  
Control Group ◽  
Lymphocyte Ratio

Abstract Background The inflammatory response plays essential roles in the pathological process and prognosis of Parkinson’s disease (PD). This research investigated the predictive value of the neutrophil to high-density lipoprotein ratio (NHR), neutrophil to lymphocyte ratio (NLR), and monocyte to high-density lipoprotein ratio (MHR) for PD. Methods Patients with PD (n = 98) were divided into three groups according to disease duration: < 6 years (n = 55), 6–10 years (n = 29) and > 10 years (n = 14). Based on the classification system of Hoehn and Yahr, grades 1 ~ 2.5 were considered early-stage PD (n = 44), and grades 3 ~ 5 were considered advanced-stage PD (n = 54). In addition, healthy subjects (n = 98) matched to the above PD patients in the same period were selected as the control group. Differences in the NHR, NLR, MHR and other indicators among the groups were evaluated. Results Smoking, drinking, the neutrophil count and the NHR and NLR were remarkably greater and hypertension, index of body mass, the lymphocyte count, and the levels of cholesterol in total, triglycerides, lipoprotein cholesterol with low density and uric acid were sharply lower in the PD group compared with in the control group. Analysis of multifactor logistic regression indicated that the NHR (odds ratio (adjusted OR) = 1.576, 95% CI: 1.053 ~ 2.358, P = 0.027) and NLR (adjusted OR = 1.734, 95% CI: 1.046 ~ 2.876, P = 0.033) were factors of risk for PD, while the MHR was not significantly correlated with PD. The areas under the receiver operating characteristic (ROC) curve (AUCs) for the prediction of PD by the NHR and NLR were 0.654 (95% CI: 0.583 ~ 0.721, P = 0.0001) and 0.69 (95% CI: 0.62 ~ 0.754, P < 0.0001), respectively, and the optimal cutoff values were 1.848 × 109/mmol and 2.62 × 109/mmol. Spearman’s correlation analysis indicated that the NHR was correlated with the disease duration significantly negatively and that the MHR was positively correlated with disease severity. Conclusions In summary, the NHR not only has strong predictive value for PD but is also closely related to disease duration. The NHR may be a better prediction for the long-period clinical results in PD patients than the MHR and NLR. Trial registration Clinical medical reserach center project of Qinghai Province (2017-SF-L1).

scholarly journals Predictive Values of Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Other Prognostic Factors in Pediatric Patients With Bell’s Palsy

2020 ◽  
pp. 014556132092209 ◽  
Author(s):  
Dong Hyun Kim ◽  
Jae Hwan Oh ◽  
Junsuk Kim ◽  
Chang Hyun Cho ◽  
Ju Hyoung Lee
Keyword(s):  
Prognostic Factors ◽  
Pediatric Patients ◽  
Bell’S Palsy ◽  
Neutrophil To Lymphocyte Ratio ◽  
Control Group ◽  
Low Grade ◽  
High Grade ◽  
Bell's Palsy ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio

Background and Objectives: Bell’s palsy (BP) is the most frequent cause of unilateral facial paralysis, and inflammation is believed to play an important role in pathogenesis. Due to its rarity, however, no consensus has been reached regarding optimum treatment or factors affecting prognosis. In the present study, treatment outcomes and prognostic factors of BP were investigated in pediatric patients who underwent steroid therapy. The goal was to investigate the relationship between BP and inflammation using multiple inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and red cell distribution width (RDW). Materials and Methods: In all, 54 patients diagnosed with BP and 39 healthy randomly selected controls were enrolled in this retrospective study. Demographic characteristics and complete blood cell count test results were compared. In addition, prognostic factors were sought by dividing the 54 patients with BP into 2 groups according to the House-Brackmann grading system: low grade BP (grades II and III) and high grade BP (grades IV and V). Serum samples were analyzed retrospectively on initial presentation and 6 months after the symptom begins. Meaningful hematological parameters include NLR, PLR, MPV, and RDW. Results: The NLR values in the BP group were significantly higher than in the control group. The NLR value in the 2 groups of patients with BP differed significantly. The mean PLR value in the BP group was higher than in the control group; however, there were no significant differences between the low-grade and high-grade BP groups nor were there any statically significant differences in the other characteristics. Conclusion: The NLR and PLR values are readily accessible parameters that may be useful prognostic markers in pediatric patients with BP. Further studies are required to confirm these results and their utility in predicting prognosis and treating pediatric patients with BP.

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