Lymphocyte-monocyte Ratio Research Articles

Utilizing the lymphocyte-monocyte ratio in predicting the recurrence of spontaneous pneumothorax

Utilizing the lymphocyte-monocyte ratio in predicting the recurrence of spontaneous pneumothorax

Association between complete blood-count-based inflammatory scores and hypertension in persons living with and without HIV in Zambia.

Hypertension is a risk factor for cardiovascular events. Inflammation plays an important role in the development of essential hypertension. Studies assessing the association between complete blood count-based inflammatory scores (CBCIS) and hypertension are scarce. Therefore, this study aimed to determine the relationship between CBCIS and hypertension among individuals with and without human immunodeficiency virus (HIV). This was a cross-sectional study among 344 participants at Serenje District Hospital and Serenje Urban Clinic. We used structured questionnaires to collect sociodemographic, clinical and laboratory characteristics. CBCIS included lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), derived neutrophil-lymphocyte ratio (d-NLR), and differential white blood cells. The primary outcome variable was hypertension defined as systolic and diastolic blood pressure higher than or equal to 140/90 mmHg. Logistic regression was used to estimate the association between hypertension and CBCIS in statistical package for social science (SPSS) version 22.0. The participants had a median age of 32 years (interquartile range (IQR) 24-42) and 65.1% (n = 224) were female. The prevalence of hypertension was 10.5% (n = 36). Among those with hypertension, 55.6% (n = 20) were female and 44.4% (n = 16) were male. The CBCIS significantly associated with hypertension in people living with HIV (PLWH) was PLR (adjusted odds ratio (AOR) 0.98; 95% confidence interval (CI) 0.97-0.99, p = 0.01) while in people without HIV, AMC (AOR 15.40 95%CI 3.75-63.26), ANC (AOR 1.88 95%CI 1.05-3.36), WBC (AOR 0.52 95%CI 0.31-0.87) and PLR (AOR 0.98 95%CI 0.97-0.99) were the factors associated with hypertension. Compared to people without HIV, only WBC, ANC, NLR, and d-NLR were good predictors of hypertension among PLWH. Our study indicates a notable HIV-status driven association between CBCIS and hypertension, suggesting the use of CBICS as potential biomarkers for hypertension risk with substantial implications for early detection and preventive measures.

The Role of Peripheral Blood Inflammation Indices in Patients with a Diagnosis of Endometrial Hyperplasia and Cancer

Purpose: Endometrial cancer (EC) is an important problem with its increasing incidence, especially in developed countries. There is no generally accepted screening program yet. The management of endometrial hyperplasia (EH), which is the most important risk factor, is complex because it is an invasive process. Methods: A retrospective study was conducted with a total of 72 patients. Patients between the ages of 35-65 with abnormal uterine bleeding, and increased endometrial thickness on transvaginal sonography were evaluated with pathology results. Sociodemographic characteristics of the patients and laboratory values at hospital admission were obtained from hospital records. White blood cells (WBC), neutrophils, lymphocytes, monocytes, eosinophils, basophils, and thrombocyte counts (x10⁹/L); plateletcrit (%), hemoglobin (Hb) (g/dL), and hematocrit (Htc) (%) values were recorded. Neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio (MLR), and thrombocyte lymphocyte ratio (TLR) were obtained. Systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and pan-immune-inflammation value (PIV) were obtained. Results: Thirty-seven patients diagnosed with EH and 35 patients diagnosed with endometrial malignancy were included. The mean age of the EH was 45.5 years and the mean age of the malignant group was 50.5 years (p=0.027). The sociodemographic characteristics of the patients were found to be similar. There was no significant difference in complete blood count parameters between two groups. Mean values of NLR were 2.33 and 2.52 in EH and EC groups, respectively, p = 0.448. Mean values of MLR were 0.20 and 0.21, respectively, p = 0.498. Mean values of TLR were 0.16 and 0.15, respectively, p = 0.811. Mean values of SII were 720.1 and 812.4 (x10⁹/L), respectively, p = 0.456. Mean values of SIRI were 943.1 and 1095.6 (x10⁹/L), respectively, p = 0.257. Mean values of PIV were 312753.6 and 352975.1 (x10⁹/L), respectively, p = 0.514. Conclusion: Peripheral blood inflammation indices have recently been used in cancer diagnosis and follow-up. We did not find any statistically significant differences in the investigated parametrers between the EH and EC patient groups. Close follow-up is necessary in the presence of additional risk factors in women with EH.

The Role of Inflammatory Markers in Distinguishing Endometrial Polyp: Single Center Results

Objective: To investigate the role of inflammatory markers in predicting the presence of endometrial polyps in patients undergoing endometrial sampling due to abnormal uterine bleeding. Methods: The pathology results of patients who presented to Akçakoca State Hospital with abnormal uterine bleeding and underwent endometrial sampling between May 2023 and July 2023 were retrospectively examined. The demographic characteristics of the patients, platelet-lymphocyte, neutrophil-lymphocyte and lymphocyte-monocyte ratios and systemic immune inflammation index were calculated. Patients were categorized into endometrial polyps and other benign pathologies according to the pathological diagnosis. Malignant and premalignant lesions were not included in the study. The examination results and inflammatory markers were compared between these two groups. Results: 89 patients were included in the study. While the pathological finding in 38 patients was an endometrial polyp, other benign pathologies were found in 51 patients. No significant difference was found in terms of hemoglobin, hematocrit, lymphocytes, monocytes, platelets, neutrophils and PDW variables in patients with endometrial polyps (p>0.05). PLR (platelet-to-lymphocyte ratio) and SII (systemic immune-inflammatory index) were significantly higher in the endometrial polyp group compared to other benign pathologies (p

Monocyte-lymphocyte ratio predicts cardiovascular diseases death in individuals with type 2 diabetes.

Previous studies have shown higher cardiovascular mortality risk with higher monocyte-lymphocyte ratio levels in general population. However, the levels of oxidative stress in individuals with type 2 diabetes are higher than those in the general population, which may affect the link between monocyte-to-lymphocyte ratio and cardiovascular disease deaths. And the association between the monocyte-to-lymphocyte ratio and mortality risk in people with type 2 diabetes still be unknown. This study aimed to investigate the prognostic significance of monocyte-to-lymphocyte ratio in type 2 diabetes. This analysis involved 2,954 individuals with type 2 diabetes from the National Health and Nutrition Examination Survey 1999-2010. The National Death Index records through December 31, 2019, was used to determine all-cause and cardiovascular mortality. The prognostic roles were determined using Cox regression models, restricted cubic spline analysis, and time-dependent receiver operating characteristic curve analysis. During an average follow-up period of 12.4 years, a total of 1,007 deaths occurred, while 252 were due to cardiovascular disease. An elevated monocyte-to-lymphocyte ratio level exhibited a significant dose-response relationship with an increased risk of all-cause mortality (1.34 [95% CI 1.12, 1.60] for all-cause mortality [Ptrend = 0.001]). The multivariable-adjusted HR was 1.81 (95% CI 1.25, 2.63) (Ptrend = 0.001) for cardiovascular mortality indicating a U-shaped relationship (Pnonlinear = 0.013). The results of this study indicate a U-shaped relationship between the monocyte-to-lymphocyte ratio and cardiovascular mortality in individuals with diabetes. Both very low and high monocyte-to-lymphocyte ratio monocyte-to-lymphocyte ratio values were found to be associated with increased cardiovascular mortality risk.

Impact of oral isotretinoin on the inflammatory markers: can lymphocyte/HDL-C and platelet/HDL-C ratios be new indicators of inflammation in acne vulgaris patients?

Introduction The effect of isotretinoin on inflammatory markers has been reported with conflicting results. No studies have been reported on the relationship between isotretinoin and lymphocyte/high-density lipoprotein cholesterol [HDL-C] ratio (LHR), neutrophil/HDL-C ratio (NHR), or platelet/HDL-C ratio (PHR) in acne patients. Objectives We aimed to investigate how isotretinoin affects the inflammatory markers, including LHR, NHR, and PHR, in acne vulgaris patients. Methods A total of 361 patients with moderate-to-severe acne vulgaris who received systemic isotretinoin for at least six months were included. Complete blood count and biochemical analyses, including monocyte/HDL-C ratio (MHR), NHR, LHR, PHR, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), the aggregate index of systemic inflammation (AISI), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI), obtained at the treatment onset and the end of the first, third, and sixth months of treatment were investigated. Results There was no significant difference in MHR and NHR levels between repeated measures. A significant increasing trend was seen in LHR and PHR (P = 0.001 and P = 0.011, respectively). HDL-C levels gradually and significantly declined during the six months (P < 0.001). Serum NLR, derived NLR, SII, SIRI, MLR, and AISI showed a significant decrease in line with clinical improvement in acne during the six months of therapy (P < 0.05). Conclusions Declining levels of NLR, MLR, SII, SIRI, and AISI may indicate the anti-inflammatory effects of isotretinoin on the pilosebaceous unit, whereas increasing levels of LHR and PHR may show systemic inflammatory activity of isotretinoin.

A nomogram of inflammatory indexes for preoperatively predicting the risk of lymph node metastasis in colorectal cancer

PurposeTo investigate the independent risk factors associated with the development of lymph node metastasis (LNM) in patients with colorectal cancer (CRC), focusing on preoperative systemic inflammatory indicators, and to construct a corresponding risk predictive model.Materials and MethodsThe clinical data of 241 patients with CRC who underwent surgery after the first diagnosis between January 2012 and December 2017 at our hospital were reviewed. A best logistic regression model was constructed by Lasso regression for multivariate analysis, from which a Nomogram was derived. Using bootstrap to conduct internal validation. The model’s predictive performance and clinical practicability were evaluated using the receiver operating characteristic curve (ROC) curve, calibration curve, and decision curve analysis (DCA). External validation was conducted using retrospective data from 170 patients who underwent surgery between January 2020 and May 2022 at another hospital.ResultsCross-validation indicated smoking history, neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), fibrinogen-albumin ratio (FAR), and fecal occult blood (FOB) as variables with non-zero coefficients. These factors were included in the logistic regression, and multivariate analysis confirmed that smoking history, NLR, LMR, FAR, and FOB were independent risk factors (P < 0.05). The ROC and calibration curve of the original model and external validation indicated strong predictive power of the model. DCA suggested the model’s favorable clinical utility.ConclusionsThe model constructed in this study has robust predictive performance and clinical utility for the preoperative determination of CRC LMN, offering significant for clinical decision-making in patients with CRC.

Predictive Value of GINI and ALBI Grades in Esophageal Cancer Receiving Chemoradiotherapy

Objectives: The principal objective of this study was to assess the predictive efficacy of the global immune–nutrition–inflammation index (GINI) and the albumin–bilirubin (ALBI) score among patients receiving chemoradiotherapy for esophageal cancer. Methods: A retrospective analysis was conducted on 46 patients who received definitive or neoadjuvant radiotherapy for esophageal cancer at our institution. Blood samples were collected from these patients prior to the initiation of radiotherapy to measure the biomarkers, including the C-reactive protein (CRP), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), the global immune–nutrition–inflammation index (GINI), and the albumin–bilirubin (ALBI) grade. The predictive significance of these biomarkers for progression-free survival (PFS) and overall survival (OS) was evaluated using both univariate and multivariate Cox regression analyses. Results: The median follow-up time for this study was 19.5 months (range: 2.6–166.3 months). Univariate analysis revealed that the platelet count (p = 0.003) and monocyte count (p = 0.04) were significant predictors of PFS. In the multivariate analysis, only the platelet count (p = 0.005) remained an independent predictor of PFS. Univariate analysis demonstrated that the neutrophil count (p = 0.04), lymphocyte count (p = 0.01), NLR (p = 0.005), PLR (p = 0.004), CRP (p = 0.02), ALBI grade (p = 0.01), and GINI (p = 0.005) were significant predictors of OS. Multivariate analysis identified the GINI as a predictor of OS, approaching statistical significance (p = 0.08). Conclusion: The results of our study indicate that the pretreatment GINI and ALBI grades are significantly and independently associated with the OS rates in patients with esophageal cancer who are undergoing chemoradiotherapy.

Prognostic values of combined ratios of white blood cells in glioma: a systematic review and meta-analysis.

Gliomas, the most prevalent type of neurological tumor, pose a challenging prognosis for patients. Recent studies have underscored the importance of inflammatory markers such as the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and monocyte/lymphocyte ratio (MLR) in predicting the prognosis of gliomas. We undertook a thorough meta-analysis to elucidate the role of these inflammatory markers in forecasting the prognosis of glioma patients. We extracted hazard ratios (HR) and their corresponding 95% confidence intervals (95% CI) from each study for analysis. To assess heterogeneity and identify influential studies, we conducted sensitivity analysis. Subgroup analysis was performed to investigate sources of heterogeneity, and we employed Egger's test to evaluate publication bias in the meta-analysis. Higher NLR levels were associated with shorter overall survival (HR = 1.46, 95% CI: 1.33-1.60) and progression-free survival (HR = 1.24, 95% CI: 1.04-1.48). There was no significant correlation between PLR levels and overall survival (HR = 1.01, 95% CI: 1.00-1.01) or progression-free survival (HR = 1.00, 95% CI: 0.98-1.02) in glioma patients. Elevated MLR levels were associated with decreased overall survival in glioma patients (HR = 1.78, 95% CI: 1.36-2.34). SII levels did not show any significant association with overall or progression-free survival in glioma patients (HR = 1.00, 95% CI: 0.99-1.01).In the sensitivity analysis, two studies potentially contributed to the instability. Subgroup analyses showed patient population and area were identified as potential sources of heterogeneity. Egger's test showed that there was publication bias in the relationship between NLR and PLR and overall survival (P < 0.05).All randomized controlled models, except for these, were not affected by publication bias. NLR and MLR are two reliable indicators of inflammation in the prognosis of glioma patients; PLR and SII do not have significant value in the prognosis of glioma patients.

Ethnic variations in post ST elevation myocardial infarction inflammatory kinetics

Abstract Introduction Sterile inflammation post myocardial infarction (MI) is essential to activation reparative mechanisms. However, excessive inflammation contributes to detrimental recovery and adverse outcomes(1). Several studies have reported an association between elevated leucocyte subpopulations and neutrophil-lymphocyte ratio (NLR) with poor prognosis after MI(2). In healthy volunteers, it is known that black individuals have a lower diurnal neutrophil, basophil, and monocyte count and the term ‘benign ethnic neutropenia’ has been used(3). However, the effect of ethnicity on leucocyte counts after MI is not known. Purpose We aimed to assess the interaction between ethnicity and leucocyte subpopulations and NLR. Understanding post-MI inflammation and its interaction with ethnicity is essential in providing personalised patient management and prognostication. Methods We conducted a single centre retrospective observational study of consecutive patients presenting with ST-segment elevation MI (STEMI) between 2016 and 2022. Patients were divided into white and other ethnic groups combined (‘ethnic minorities’) based on self-reported ethnicity. Leucocyte subpopulations, neutrophil and monocyte lymphocyte ratios (NLR and MLR, respectively) at baseline and for 4 days post admission were compared. Baseline variables were analysed with Shapiro-Wilk testing and presented as median (IQR). Area under the curve (AUC) was used to analyse magnitude of change in longitudinal analysis with smoothed conditional means (LOESS) to display trends in the data. Univariate and multivariate linear regression analyses were used to investigate for an association between ethnicity and baseline clinical variables. Results We included 1933 STEMI patients, of whom 1477 (76%) were white and 456 (24%) were from ethnic minority groups. Baseline neutrophils (7.73 [5.9-10] vs 9.04 [6.7-11.9] x109/L), monocytes (0.52 [0.38-0.69] vs 0.6 [0.44-0.82] x109/L), basophils (0.03 [0.02-0.04] vs 0.04 [0.02-0.06] x109/L), NLR (4.47 [2.93-7.19] vs 5.61 [3.64-8.89]) and MLR (0.3 [0.21-0.43] vs 0.36 [0.26-0.53]) were significantly lower (all p&amp;lt;0.001) in ethnic minority vs white patients. There were no differences in peak troponin T or CRP. Longitudinal assessment of leucocyte subgroups and NLR showed that white patients had a significantly higher AUC and difference between minimum and maximum values (delta) for neutrophils, monocytes, basophils and NLR (Panel 1). After correction, we observed a negative association between being in the ethnic minority group and baseline NLR (p=0.005) and basophil count (p&amp;lt;0.001). Conclusions Despite baseline differences in leucocyte subgroups and NLR according to ethnicity, there is a distinct interaction among patients with STEMI suggesting an ethnicity-specific inflammatory profile. Blunting of the magnitude and duration of leucocyte response is novel, and future work will focus on the implications for prognosis and tailored therapy.

The Prognostic Value of a Naples Score in Determining in-Hospital Mortality in Patients with Acute Ischemic Stroke Undergoing Endovascular Treatment.

Background/Objectives: The Naples prognostic score (NPS), reflecting inflammation and nutritional status, has prognostic value, especially in cancer. This study evaluated its ability to predict in-hospital mortality in acute ischemic stroke (AIS) patients undergoing endovascular treatment (EVT). Methods: We retrospectively studied 244 patients with AIS who were admitted between April 2020 and December 2023. Patients were included if they presented within 6 h of symptom onset with evidence of intracranial proximal arterial occlusion. The EVT was performed using aspiration catheters, stent retrievers, or both. The NPS was calculated based on the neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, and albumin and total cholesterol levels. Results: We found a significant association between higher NPS scores and in-hospital mortality. Patients with a high NPS (3 or 4) had a mortality rate of 41.6% compared to 21.0% in the low-NPS group (0, 1, or 2). The full model incorporating NPS showed superior predictive ability for in-hospital mortality compared with the baseline model (areas under the curve 0.881 vs. 0.808). A receiver-operating characteristic analysis at a cutoff of >2.5 for the NPS showed a sensitivity of 86.6% and specificity of 41.9%. This study demonstrated that incorporating the NPS into the predictive model improved the accuracy and calibration for predicting in-hospital mortality. A decision curve analysis showed the net benefit of using the full model incorporating NPS over the baseline model, emphasizing its potential clinical application in prognostication. Conclusions: NPS is a reliable predictor of in-hospital mortality in AIS patients undergoing EVT. Incorporating NPS into clinical practice could help to identify high-risk patients and improve outcomes through tailored interventions.

Preoperative prediction of early recurrence in patients with BRAF mutant colorectal cancer using a intergrated nomogram

Objective To explore the predictive value of radiomics nomogram combining with CT radiomics features and clinical features for postoperative early recurrence in patients with BRAF-mutant colorectal cancer. Methods A total of 220 patients with surgically and pathologically confirmed BRAF-mutant colorectal cancer from 2 institutions were retrospectively included. All patients from institution 1 were randomized at a 7:3 ratio into a training cohort (n = 108) and an internal validation cohort (n = 45), and patients from institution 2 were used as an external validation cohort (n = 67). The association between the radiomics features and early recurrence was assessed in the training cohort and verified in the validation cohort. Furthermore, the performance of the radiomics nomogram was evaluated by combining the rad-score and clinical risk factors. The predictive performance was evaluated by receiver operating characteristic curve analysis, calibration curve analysis, and decision curve analysis. Results The dierenees in the Lymphocyte/monocyte ratio (LMR) and Peripheral nerve infiltration (PNI) were statistically significant between the early recurrence in BRAF-mutant colorectal cancer groups and the early non-recurrence in BRAF-mutant colorectal cancer groups (P < 0.05); The two groups showed no significant differenee in clinical parameters including age, sex, and biochemistry serum markers (P > 0.05). Comparing with the pure radiomics or clinical data, combined models can be seen that the addition of LMR and PNI further improveed the predictive efficiency of the model. The rad-score based on LR, generated by 4 selected radiomics features, demonstrated a favorable ability to predict early recurrence in both the training (AUC 0.81), internal validation (AUC 0.73), external validation (AUC 0.63) cohorts. Subsequently, integrating two independent predictors into a nomogram exhibited more favorable discriminatory performance, with the AUC improved to 0.88 and 0.81 in both cohorts. Conclusions The proposed CT-based radiomics signature is associated with early recurrence among the patients with BRAF-mutant colorectal cancer. The present study also proposes a combined model can potentially be applied in the individual preoperative prediction of early recurrence in patients with BRAF-mutant colorectal cancer. Advances in knowledge CT-based radiomics showed satisfactory diagnostic significance for early recurrence in patients with BRAF-mutant colorectal cancer. Key baseline clinical characteristics were associated with early recurrence in patients with BRAF-mutant colorectal cancer. The combined model may be applied in the individual preoperative prediction of early recurrence in patients with BRAF-mutant colorectal cancer.

The Predictive Value of Perioperative Inflammatory Indexes in Major Arterial Surgical Revascularization from Leriche Syndrome.

Objectives: The role of inflammation in the pathophysiology of atherosclerosis is extensive. Our study aims to assess the predictive role of inflammatory indexes regarding in-hospital mortality in major vascular surgery of Leriche syndrome as a convenient, low-cost, and noninvasive prognostic marker to optimize the patient's perioperative course. Methods: Our retrospective single-center study enrolled consecutive patients diagnosed with aortoiliac occlusive disease, Leriche syndrome, who underwent elective major vascular surgery between 2017 and 2023 in a tertiary cardiovascular center. Preoperative, postoperative, and day-one after-surgery data, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio, and monocyte-lymphocyte ratio, were studied to the endpoint, in-hospital death. We also tested the delta values of the indexes to the endpoint. The indexes were compared to the Revised Cardiac Risk Index (RCRI) and Vascular Surgery Group Cardiac Risk Index (VSG-CRI) for outcome prediction. Results: The tested inflammatory indexes significantly increased from the preoperative to postoperative and, further, to the day-one settings. Preoperative AISI (p = 0.040) emerged as the only independent risk factor regarding in-hospital death occurrence in Leriche patients who underwent major revascularization surgery. While RCRI did not significantly predict the endpoint (AUC = 0.698, p = 0.057), VSG-CRI (AUC = 0.864, p = 0.001) presented the best result in ROC analysis. Postoperative NLR (AUC = 0.758, p = 0.006) was next, followed by NLR postoperative-preoperative (_Preop-_Postop) delta value (AUC = 0.725, p = 0.004), postoperative SIRI (AUC = 0.716, p = 0.016), SIRI_Preop-_Postop delta value (AUC = 0.712, p = 0.016), postoperative SII (AUC = 0.692, p = 0.032), and SII_Preop-_Postop delta value (AUC = 0.631, p = 0.030). Conclusions: Inflammatory indexes are valuable tools for assessing perioperative risk in major vascular surgery, enhancing the value of the already validated risk scores.

Hematology scoring model to predict sepsis in preterm neonates

Background Neonatal sepsis is a major cause of neonatal morbidity and mortality, especially in developing countries. Atypical clinical symptoms lead to delays in diagnosis and treatment. Scoring a combination of routine hematology parameters may be able to predict the occurrence of sepsis in preterm neonates. Objective To formulate a new model for neonatal sepsis scoring from various complete blood count parameters to predict sepsis in preterm neonates. Methods This analytical cross sectional study using secondary data from the Registry of the Neonatology Division was conducted at the RSUP Dr. Hasan Sadikin, Bandung, West Java. Subjects were neonates diagnosed with sepsis, of gestational age 28–36 weeks, who were born at the RSUP Dr. Hasan Sadikin from January to December 2021. Laboratory results of patients who met the inclusion criteria were recorded. Subjects were divided into either proven sepsis and probable sepsis groups, based on blood culture results. Results Of 112 subjects, 35.7% had proven sepsis and 64.3% probable sepsis. In the proven sepsis group, 52.5% of subjects were male, median birth weight was 1,490 grams, median gestational age was 32 weeks, 90% were small for gestational age, and 60% were delivered normally. Multivariable analysis by multiple logistic regression revealed that the parameters associated with the incidence of neonatal sepsis were c-reactive protein (CRP) &gt; 0.18 mg/dL (score 6), hematocrit &lt;40% (score 4), platelet-to-lymphocyte ratio (PLR) &lt; 19.623 (score 4); monocyte-lymphocyte ratio (MLR) &lt; 0.461 (score 2); and mean platelet volume (MPV) value &gt;10 (score 2). Score &gt;8 had a sensitivity of 85% and specificity of 70.8%, with area under the ROC curve of 0.865 (P&lt;0.001). Scoring accuracy was 75.8%, with a positive predictive value of 61.8%, a negative predictive value of 89.5%, and Kappa index of 51.5% with moderate agreement. Conclusion A hematological score &gt;8 can be used as a predictor of sepsis in preterm neonates.

Association of circulating monocyte number and monocyte–lymphocyte ratio with cardiovascular disease in patients with bipolar disorder

BackgroundCardiovascular disease (CVD) is the leading cause of excessive and premature mortality in patients with bipolar disorder (BD). Despite immune cells participating considerably in the pathogenesis of CVD, limited data are available regarding leukocyte phenotypes in patients with BD and CVD. This study aimed to evaluate associations between circulating leukocyte subset and CVD among patients with BD.MethodsA total of 109 patients with BD-I and cardiologist-confirmed CVD diagnosis (i.e., case) were matched with 109 BD-I patients without CVD (i.e., control) according to the age (± 2 years), sex, and date of most recent psychiatric admission because of acute mood episode (± 2 years). Leukocyte subset data were retrieved from complete blood count tests performed on the next morning after the most recent acute psychiatric admission.ResultsDuring the most recent acute psychiatric hospitalization, circulating monocyte counts in the case group were significantly higher than those in the age- and sex-matched controls (p = 0.020). In addition, monocyte–lymphocyte ratios (MLRs) in the case group were significantly higher than those in the control group (p = 0.032). Multiple logistic regression showed that together with serum levels of uric acid and manic symptoms, circulating monocyte counts (95% CI, OR: 1.01–1.05) and MLRs (95% CI, OR: 1.01–1.09) were significantly associated with CVD in patients with BD, respectively.ConclusionsMonocyte activation in an acute manic episode may play a critical role in the pathogenesis of CVD among patients with BD. Future research is required to investigate markers of monocyte activation and indices of cardiovascular structure and function across the different mood states of BD.

Prognostic Evaluation of Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score and Hematological Indices in Classic Hodgkin Lymphoma.

Hodgkin lymphoma (HL) constitutes 10% of all lymphoma diagnoses and accounts for 5% of lymphoma-related deaths. Accurate prognostication in HL remains crucial, particularly given that 10%-20% of patients may receive either insufficient or excessive treatment. This study investigates the effect of hemoglobin, albumin, lymphocyte, and platelet (HALP) score, which is a marker of inflammation status and nutrition, at the time of diagnosis for the patients with HL on prognosis. A total of 147 patients diagnosed with cHL were included in the study, and their data were analyzed retrospectively. The significance of the HALP score and hematological indices [neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), and platelet-lymphocyte ratio (PLR)] as predictors of overall survival (OS) and disease-free survival (DFS) was evaluated. Patients were grouped according to median values for the HALP score and hematological indices. High HALP score (p = 0.034), low NLR (p = 0.033), high LMR (p = 0.003), and low PLR (p = 0.014) were statistically significant in the early-stage favorable group. DFS and OS were not statistically significant according to the HALP score NLR, LMR, and PLR groups. The need for readily applicable, reliable prognostic markers in cHL, where immunotherapy treatments have led to significantly improved survival outcomes, remains persistent.

Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms.

Gastric cancer, a pervasive malignancy globally, often presents with regional lymph node metastasis (LNM), profoundly impacting prognosis and treatment options. Existing clinical methods for determining the presence of LNM are not precise enough, necessitating the development of an accurate risk prediction model. Our primary objective was to employ machine learning algorithms to identify risk factors for LNM and establish a precise prediction model for stage II-III gastric cancer. A study was conducted at Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between May 2010 and December 2022. This retrospective study analyzed 1147 surgeries for gastric cancer and explored the clinicopathological differences between LNM and non-LNM cohorts. Utilizing univariate logistic regression and two machine learning methodologies-Least absolute shrinkage and selection operator (LASSO) and random forest (RF)-we identified vascular invasion, maximum tumor diameter, percentage of monocytes, hematocrit (HCT), and lymphocyte-monocyte ratio (LMR) as salient factors and consolidated them into a nomogram model. The area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curves were used to evaluate the test efficacy of the nomogram. Shapley Additive Explanation (SHAP) values were utilized to illustrate the predictive impact of each feature on the model's output. Significant differences in tumor characteristics were discerned between LNM and non-LNM cohorts through appropriate statistical methods. A nomogram, incorporating vascular invasion, maximum tumor diameter, percentage of monocytes, HCT, and LMR, was developed and exhibited satisfactory predictive capabilities with an AUC of 0.787 (95% CI: 0.749-0.824) in the training set and 0.753 (95% CI: 0.694-0.812) in the validation set. Calibration curves and decision curves affirmed the nomogram's predictive accuracy. In conclusion, leveraging machine learning algorithms, we devised a nomogram for precise LNM risk prognostication in stage II-III gastric cancer, offering a valuable tool for tailored risk assessment in clinical decision-making.

Fibromiyalji Sendromunda Sistemik İmmün-İnflamasyon İndeksi ve Hematolojik Laboratuvar Bulgularına Genel Bakış

Bu çalışmada fibromiyalji sendromunda (FMS) Sistemik İmmün-İnflamasyon İndeksi (SII) ile kan parametreleri arasındaki ilişki değerlendirilerek hastalık aktivitesinin belirlenmesi amaçlanmıştır. Çalışmaya Ocak 2021 ve Ocak 2022 tarihleri arasında Fizik Tedavi ve Rehabilitasyon Kliniğine başvuran 109 FMS hastası ve 82 sağlıklı kontrol dahil edilmiştir. Yaş, cinsiyet, C-reaktif protein (CRP), eritrosit sedimentasyon hızı (ESR), beyaz kan hücresi (WBC), hemoglobin (HGB), ortalama korpusküler hacim (MCV), ortalama korpusküler hemoglobin (MCH), ortalama korpusküler hemoglobin konsantrasyonu (MCHC), kırmızı hücre dağılımı (RDW), trombosit dağılım genişliği (PDW), ortalama trombosit hacmi (MPV), trombosit (PLT), trombosit kriteri (PCT), lenfosit (LYM), monosit (MONO), nötrofil (NEU) düzeyleri hastane bilgi sisteminden retrospektif olarak taranmıştır. Trombosit-lenfosit oranı (PLR), nötrofil-lenfosit oranı (NLR), monosit-lenfosit oranı (MLR) ve sistemik immün-inflamasyon indeksi (SII) hesaplanmıştır. CRP ve ESR düzeyleri FMS hastalarında sağlıklı kontrollere göre daha yüksekti ancak değer aralığının dışında değildi (p&amp;lt;0,001). PDW (p&amp;lt;0,001), HGB (p&amp;lt;0,001), MCV (p&amp;lt;0,001), MCH (p&amp;lt;0,001) ve MCHC (p=0,02) düzeyleri hastalarda sağlıklı gruba göre daha düşüktü. Hasta ve kontrol grupları arasında yaş, WBC, NEU, LYM, MONO, RDW, MPV, PLT, PCT, SII, PLR, NLR ve MLR değerleri açısından istatistiksel olarak anlamlı fark yoktu. FMS hastalarında WBC düzeyleri ile SSS değerleri arasında (r=0,2; p=0,005) ve lenfosit düzeyleri ile WPI değerleri arasında (r=0,2; p=0,01) anlamlı pozitif korelasyon bulunmuştur. Çalışma sonuçlarına göre, SII'nin FMS'de belirleyici bir rolü yoktur, ancak hastalığın tanıda yararlı olabilecek bazı inflamatuvar bileşenleri vardır ve daha ayrıntılı çalışmalara ihtiyaç vardır.

Leukocyte Indices as Markers of Inflammation and Predictors of Outcome in Heart Failure with Preserved Ejection Fraction.

Background: The pathophysiology of heart failure (HF) with preserved ejection fraction (HFpEF) is suggested to be influenced by inflammation. Leukocyte indices, including the neutrophil-lymphocyte ratio (NLR), the monocyte-lymphocyte ratio (MLR), and the pan-immune inflammation value (PIV), can be utilized as biomarkers of systemic inflammation. Their prognostic utility is yet to be fully understood. Methods: Between December 2010 and May 2023, patients presenting to a tertiary referral center for HFpEF were included into a prospective registry. The association of the NLR, MLR, and PIV with the composite endpoint of all-cause mortality and HF-related hospitalization was tested utilizing Cox regression analysis. Results: In total, 479 patients (median 74.3, interquartile range (IQR): 69.22-78.3 years, 27.8% male) were included. Patients were observed for 43 (IQR: 11-70) months, during which a total of 267 (55.7%) patients met the primary endpoint. In a univariate Cox regression analysis, an above-the-median NLR implied a hazard ratio (HR) of 1.76 (95%-confidence interval (CI): 1.38-2.24, p < 0.001), an MLR of 1.46 (95%-CI: 1.14-1.86, p = 0.003), and a PIV of 1.67, 95%-CI: 1.30-2.13, p < 0.001) for the composite endpoint. After adjustment in a step-wise model, the NLR (HR: 1.81, 95%-CI: 1.22-2.69, p = 0.003), the MLR (HR: 1.57, 95%-CI: 1.06-2.34, p = 0.026), and the PIV (HR: 1.64, 95%-CI: 1.10-2.46, p = 0.015) remained significantly associated with the combined endpoint. Conclusions: The NLR, the MLR, and the PIV are simple biomarkers independently associated with outcomes in patients with HFpEF.

The role of first-trimester systemic immune-inflammation index for the prediction of gestational diabetes mellitus.

The aim of this study was to investigate the role of systemic immune-inflammation index, neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, and platelet-lymphocyte ratios calculated in the first trimester as inflammatory markers in predicting gestational diabetes mellitus diagnosis. This study was conducted retrospectively at a tertiary center between January 2020 and June 2023. A total of 111 pregnant women with gestational diabetes and 378 pregnant women in the control group were included in the study. Systemic immune-inflammation index, neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, and platelet-lymphocyte ratios values were compared between the gestational diabetes mellitus group patients and the healthy group. Receiver operating characteristic analysis curve was used for predicting gestational diabetes mellitus using systemic immune-inflammation index and lymphocyte-monocyte ratio. In pregnant women in the first trimester, systemic immune-inflammation index and lymphocyte-monocyte ratio values based on routine complete blood count parameters were found to be statistically significantly higher in gestational diabetes mellitus patients compared to healthy patients, while neutrophil-lymphocyte ratio and platelet-lymphocyte ratios values were found to be similar (p=0.033, p=0.005, p=0.211, and p=0.989). For predicting gestational diabetes mellitus, a cut-off value of 655.75 for systemic immune-inflammation index resulted in 80.2% sensitivity and 34.4% specificity, and a cut-off value of 3.62 for lymphocyte-monocyte ratio resulted in 56.8% sensitivity and 63.2% specificity, indicating good discriminatory ability. We believe that systemic immune-inflammation index and lymphocyte-monocyte ratio values measured in the first-trimester complete blood count parameters are effective in predicting gestational diabetes mellitus but are not effective in determining insulin requirement.