Association of lymphocyte to monocyte ratio with severity of coronary artery disease

Predicting postoperative atrial fibrillation after cardiac surgery using the Naples prognostic score

INTRODUCTION

The Naples prognostic score (NPS) is a novel indicator of nutritional and inflammatory statuses in cancer patients. Development of atrial fibrillation after cardiac surgery (POAF) is a common complication that increases the incidence of adverse events. Numerous studies have investigated predictors of POAF. Yet, this study is the first to evaluate the prognostic value of NPS in predicting the development of POAF.

MATERIALS AND METHODS

The population of this retrospective single-center case-control study consisted of all consecutive patients who underwent cardiac surgery between January 2021 and December 2023. The patients included in the study sample were divided into two groups according to whether they had POAF (group POAF) or remained in sinus rhythm (group RSR). Univariate and multivariate analyses were conducted to identify the variables that significantly predicted the development of POAF.

RESULTS

This study consisted of 860 patients with a mean age of 61.77 ± 9.13 years and 77.5% ( n  = 667) were male. The incidence of POAF in the sample was 24.8% ( n  = 214). NPS was significantly higher in group POAF than in group RSR (2.18 ± 0.99 vs. 1.96 ± 1.02, P  = 0.008). Multivariate analysis revealed age [odds ratio (OR): 1.242, 95% confidence interval (CI): 1.020-1.304, P  < 0.001] and high NPS (OR: 1.698, 95% CI: 1.121-1.930, P  < 0.010) as independent predictors of POAF.

CONCLUSION

High NPS values, along with advanced age, were found to be strongly associated with an increased risk of developing POAF. Therefore, it is concluded that NPS is a significant and independent predictor of POAF in patients undergoing cardiac surgery.

A Visualized Nomogram to Predict the Risk of Acute Ischemic Stroke Among Patients With Cervical Artery Dissection

Background

Acute ischemic stroke (AIS) is a significant global health concern, with cervical artery dissection (CAD) being a notable yet frequently overlooked cause, particularly in young adults. Despite advancements in imaging technologies, there remains a deficiency in effective methodologies for the prompt identification of AIS attributable to CAD. This research aims to create a predictive model combining clinical, imaging, and laboratory data to improve risk stratification and guide timely interventions.

Methods

Between 2019 and 2024, patients diagnosed with CAD were enrolled in the study. Nomogram models were constructed utilizing a two-step methodological approach. Initially, the least absolute shrinkage and selection operator (LASSO) regression analysis was utilized to improve variable selection. Subsequently, logistic regression analysis was conducted to develop an estimation model using the significant indicators identified by the LASSO. The model's accuracy was evaluated using the application of receiver operating characteristic (ROC) curves, calibration curves, decision curve analyses, and clinical impact curves. The model underwent internal validation through bootstrap resampling with 1,000 iterations.

Results

In the cohort of 102 patients, 75 individuals with CAD experienced had an acute ischemic stroke. This cohort was characterized by a significantly older median age (42 years vs 51 years, p=0.041) and a comparable proportion of males (78.7% vs 74.1%,p=0.825). The analysis identified hyperlipidemia (aOR=0.19, 95% CI=0.040-0.893, p=0.036), lumen occlusion (aOR=5.41, 95% CI=1.236-23.648, p=0.025), a lower lymphocyte-to-monocyte ratio (LMR) (aOR=0.68, 95% CI=0.476-0.797, p=0.038), and higher systemic immune-inflammation index (SII) (aOR=1.01, 95% CI=1.001-1.016, p=0.026) are independent factors linked to ischemic stroke in CAD patients. The predictive model showed strong performance with an AUC of 0.870 (95% CI=0.789-0.950) under the ROC curve. Decision curve analysis (DCA) indicated that the constructed nomogram was clinically applicable, with a risk threshold ranging from 9% to 95%.

Conclusion

This study developed a dynamic and visualized nomogram model for the precise prediction of stroke risk in patients with CAD, exhibiting robust performance, calibration, and clinical utility. Future multi-center studies are anticipated to further substantiate its clinical applicability.

Mutual Effect of Nutritional Status and Inflammatory Processon Mortality after Superficial Artery Intervention: NAPLES Score

Introduction

Superficial femoral artery (SFA) stenosis is a common type of peripheral arterial disease. Percutaneous treatment has similar long amputation rates with open surgery. There are various predictors of worse outcomes in this patient group, such as chronic kidney disease and malnutrition. The NAPLES score (NPS) is simple scoring system which consists of four elements. We aimed to investigate the role of NPS in predicting long-term mortality in patients with SFA stenosis who underwent a percutaneous intervention.

Methods

A total of 567 patients who underwent percutaneous treatment for stenosis of the SFA from January 2012 to December 2020 were enrolled. The primary endpoint was mortality, and the secondary endpoints were in-hospital thrombosis, restenosis, residual stenosis and postintervention complications. The patients were divided into two groups: high NPS (3, 4) and low NPS (0, 1, 2). Each group was evaluated in terms of clinical, laboratory and technical aspects.

Results

The patients with high NPS had a higher rate of mortality (34% vs. 16.3%, p < 0.05), and shorter time to (17.2 ± 14.7 vs. 29.2 ± 19.3 months, p < 0.05). In multivariate analysis, after adjusting for confounding factors, age [hazard ratio (HR): 1.049, 95% confidence interval (CI): 1.025-1.073, p < 0.001], chronic kidney disease (HR: 1.994, 95% CI: 1.347-2.951, p = 0.001), Rutherford class 5-6 (HR: 1.839, 95% CI: 1.195-2.830, p = 0.006), high C-reactive protein values (HR: 1.004, 95% CI: 1.001-1.008, p = 0.022), and estimated higher NPS (HR: 1.748, 95.5 CI: 1.189-2.572, p = 0.005) were shown to be independent risk factors of mortality.

Conclusions

NPS is a simple scoring system that can be used to predict long-term mortality in this group. More strict control of risk factors is required in patients with a high NPS.

The interplay of LDLR, PCSK9, and lncRNA- LASER genes expression in coronary artery disease: Implications for therapeutic interventions

BACKGROUND AND PURPOSE

Coronary artery disease (CAD) is defined as stenosis of coronary arteries due to atherosclerosis. The etiology of atherosclerosis can be attributed to a disruption in lipid metabolism, specifically cholesterol and low-density lipoprotein cholesterol (LDL-C). PCSK9 is an enzyme that controls the metabolism of LDL-C by degrading the low-density lipoprotein receptor (LDLR), which in turn affects the metabolism of LDL-C. A newly discovered Long Non-coding RNA named LASER, which affects the homeostasis of cholesterol, has been identified through the evaluation of bioinformatics. The objective of this study was to assess the levels of gene expression related to cholesterol balance, specifically LDLR, PCSK9, and LASER, in peripheral blood mononuclear cells (PBMCs) of Iranian CAD patients in comparison to controls.

EXPERIMENTAL APPROACH

This case-control study included 49 CAD patients, with 81.63 % receiving statins, compared to 40 control subjects, of whom 40 % received statins. The qRT-PCR was used to analyze the expression levels of LDLR, PCSK9, and LASER in PBMCs. Additionally, the ELISA method was employed to determine the blood concentration of PCSK9.

FINDINGS / RESULTS

CAD patients demonstrated a significant reduction in PBMC gene expression levels of LDLR (P < 0.01) and a significant rise in gene expression of PCSK9 and LASER, as well as blood concentration of PCSK9 (P < 0.05) compared to controls. The gene expression of PCSK9 showed a strong positive relationship with LDLR expression in patients (P = 0.0003). Furthermore, a strong correlation was seen between PCSK9 and LASER, as well as LASER and LDLR expression (P < 0.0001) in two groups.

CONCLUSION AND IMPLICATIONS

PCSK9 and LASER are potential therapeutic targets for atherosclerosis-related disorders, including CAD. Given that patients receiving statins were twice that of the control subjects, and the effect of statins on the LDLR, PCSK9 and LASER, further research is required to delineate the distinct effects of coronary artery disease conditions and statin usage on the expression of the aforementioned genes.

Relationship Between Inflammatory Readings and the Degree of Coronary Atherosclerosis (Pilot Study)

Background/Objectives: Some calculated total blood count readings are investigated as novel additional readings to help with evaluation of personalized CAD patients' clinical management and prognosis. We aimed to investigate the association between readings such as NLR, MLR, PLR, NMR, LMR, MHR, SII, and SIRI and the severity of CAD in patients with SAP. Methods: This retrospective pilot study included 166 patients. All patients underwent CA or CCTA, or both, to assess severity of CAD. Patients were divided three ways: (1) according to presence (n = 146) or absence (n = 20) of CAD; (2) according to Gensini score; (3) according to the CAD-RADS score. Results: Patients with CAD had lower LMR, higher NLR, SIRI, MLR, and SII compared to patients without CAD (p < 0.001 and p = 0.018, respectively for SII). According to the CAD severity by Gensini score, the NLR, MLR, SII, and SIRI values increase and LMR decreases gradually with severity of CAD (p < 0.001). A moderate correlation was found between SII (r = 0.511, p < 0.001), NLR (r = 0.567, p < 0.001), and SIRI (r = 0.474, p < 0.001) and severity of CAD according to Gensini score. MLR and LMR had a low corelation with severity of CAD according to Gensini score (r = 0.356, p < 0.001; r = -0.355, p < 0.001, respectively). The CAD-RADS score weakly correlated with NLR and MHR (r = 0.365, p < 0.001; r = 0.346, p < 0.001, respectively), and moderately with LMR, MLR, and SIRI (r = -0.454, p < 0.001; r = 0.455, p < 0.001; r = 0.522, p < 0.001, respectively). Conclusions: NLR, LMR, and SIRI appear to be potential predictors of chronic inflammation, and SIRI is the best predictor of the degree of atherosclerosis of all the other assessed blood parameters.

Predictors of high-grade atherosclerotic renal artery stenosis in patients with CKD

This study aims to explore predictors of high-grade atherosclerotic renal artery stenosis (ARAS) in patients with chronic kidney disease (CKD). This was a retrospective study, and univariate analysis such as independent-sample t test or nonparametric test where appropriate was used to explore variables with significant difference between patients with high-grade ARAS and patients with low-grade ARAS. Then, multivariate logistic regression and receiver operating characteristic curve (ROC) analysis were performed for further research. In univariate analysis, we found that there was a significant difference in smoking history, estimated glomerular filtration rate (eGFR), cystatin C, fasting blood glucose and lymphocyte-to-monocyte ratio (LMR) between the 2 groups. Multivariate logistic regression analysis showed that eGFR (OR = 0.979, 95% CI: 0.962-0.996, P = .017), cystatin C (OR = 2.123, 95% CI: 1.118-4.030, P = .021) and LMR (OR = 0.639, 95% CI: 0.421-0.969, P = .035) were still associated with high-grade ARAS in patients with CKD. ROC analysis showed that eGFR (AUC: 0.681; sensitivity: 64.1%, specificity: 65.1%), cystatin C (AUC: 0.658; sensitivity: 74.6%, specificity: 53.85%) and LMR (AUC: 0.650; sensitivity: 66.70%, specificity: 62.00%). In patients with CKD, eGFR, and cystatin C and LMR were predictive parameters of high-grade ARAS, and among them, eGFR and LMR held the greatest predictive value for high-grade ARAS in patients with CKD.

Association between Monocyte-to-Lymphocyte Ratio and Inflammation in Chronic Kidney Disease: A Cross-Sectional Study

INTRODUCTION

Inflammation plays a key role in chronic kidney disease (CKD). Monocyte-to-lymphocyte ratio (MLR) is a novel inflammatory marker. The purpose of this study was to evaluate the relationship between MLR and inflammation in CKD patients.

METHODS

In total, 1,809 subjects were recruited from Wanzhai Town, Zhuhai City, between December 2017 and March 2018 for a cross-sectional survey. Patients were categorized based on the absence (hypersensitive C-reactive protein [hsCRP] level ≦3 mg/L) or presence (hsCRP level >3 mg/L) of inflammation. Logistic regression models and MLR quartiles were used to explore the relationship between MLR and inflammation in CKD patients.

RESULTS

Among 1,809 subjects, 403 (22.2%) had CKD. Significant differences in systolic blood pressure, estimated glomerular filtration rate, white blood cell (WBC), neutrophil, monocyte, MLR, and interleukin-6 (IL-6) levels were observed between noninflammatory group and inflammatory group. The highest MLR quartile had higher Scr, WBC, neutrophil, monocyte, IL-6, and hsCRP values and lower eGFR and lymphocyte values. Comparing the lowest quartile of MLR, the OR (95% CI) of inflammation risk in the highest quartile was 2.30 (1.24-4.27) after adjustment for confounding factors. The area under the curve of MLR for predicting inflammation was 0.631. The cutoff point for the MLR was 0.153.

CONCLUSION

A high MLR was significantly and independently associated with inflammation in patients with CKD, making MLR a potential marker for inflammation in this demographic. MLR may also predict the severity of CKD.

Evaluating SORT1 and SESN1 genes expression in peripheral blood mononuclear cells and oxidative stress status in patients with coronary artery disease

BACKGROUND

Coronary artery disease (CAD) significantly contributes to global fatalities. Recent studies have demonstrated the crucial roles of sortilin1 (SORT1) and sestrin1 (SESN1) in lipid metabolism, as well as their involvement in the development of CAD. The aberrant expression or activity of SORT1 can consequently lead to metabolic and vascular diseases. Sestrins, including SESN1, play a crucial role in helping cells survive by maintaining metabolic balance while also reducing oxidative stress (OS). OS contributes to the progression of atherosclerosis-related diseases, such as CAD. The study aimed to compare the gene expression of SORT1 and SESN1 in peripheral blood mononuclear cells (PBMCs), alongside serum OS markers, in CAD patients and controls.

MATERIALS

The case-control study included 49 CAD patients and 40 controls. The expression of the SORT1 and SESN1 genes was quantified using qRT-PCR, and the expression of the SORT1 protein was evaluated by western blotting. OS markers, including total oxidation status (TOS), total antioxidant capacity (TAC), and malondialdehyde (MDA), were measured using spectrophotometric and fluorometric methods.

RESULTS

SORT1 gene and protein expressions were similar between groups. CAD patients had a non-significant decrease in SESN1 gene expression. MDA levels were significantly higher in CAD patients, whereas TOS and TAC levels did not differ significantly.

CONCLUSION

For atherosclerosis-related disorders like CAD, MDA shows potential as a non-invasive, easy-to-use, affordable, and stable biomarker. Further research is needed to elucidate the precise roles of SORT1 and SESN1 in CAD pathogenesis.

Inflammation indices in association with periodontitis and cancer

Inflammation is a complex physiological process that plays a pivotal role in many if not all pathological conditions, including infectious as well as inflammatory diseases, like periodontitis and autoimmune disorders. Inflammatory response to periodontal biofilms and tissue destruction in periodontitis is associated with the release of inflammatory mediators. Chronic inflammation can promote the development of cancer. Persistence of inflammatory mediators plays a crucial role in this process. Quantification and monitoring of the severity of inflammation in relation to cancer is essential. Periodontitis is mainly quantified based on the severity and extent of attachment loss and/or pocket probing depth, in addition with bleeding on probing. In recent years, studies started to investigate inflammation indices in association with periodontal diseases. To date, only few reviews have been published focusing on the relationship between blood cell count, inflammation indices, and periodontitis. This review presents a comprehensive overview of different systemic inflammation indices, their methods of measurement, and the clinical applications in relation to periodontitis and cancer. This review outlines the physiological basis of inflammation and the underlying cellular and molecular mechanisms of the parameters described. Key inflammation indices are commonly utilized in periodontology such as the neutrophil to lymphocyte ratio. Inflammation indices like the platelet to lymphocyte ratio, platelet distribution width, plateletcrit, red blood cell distribution width, lymphocyte to monocyte ratio, delta neutrophil index, and the systemic immune inflammation index are also used in hospital settings and will be discussed. The clinical roles and limitations, relationship to systemic diseases as well as their association to periodontitis and treatment response are described.

Role of lymphocyte-to-monocyte ratio as a predictive marker for diabetic coronary artery disease: A cross-sectional study

BACKGROUND

The lymphocyte to monocyte ratio (LMR) is considered a marker of systemic inflammation in cardiovascular disease and acts as predictor of mortality in coronary artery disease.

AIM

To investigate the predictive role of LMR in diabetic coronary artery disease patients.

METHODS

This cross-sectional study was conducted at tertiary care super-specialty hospital at New Delhi, India. A total of 200 angiography-proven coronary artery disease (CAD) patients were enrolled and grouped into two categories: Group I [CAD patients with type 2 diabetes mellitus (T2DM) and glycated hemoglobin (HbA1c) levels ≥ 6.5%], and Group II (CAD patients without T2DM and HbA1c levels < 6.5%). Serum lipoproteins, HbA1c, and complete blood count of enrolled patients were analyzed using fully automatic analyzers.

RESULTS

The logistic regression analysis showed an odds ratio of 1.48 (95%CI: 1.28-1.72, P < 0.05) for diabetic coronary artery disease patients (Group I) in unadjusted model. After adjusting for age, gender, diet, smoking, and hypertension history, the odds ratio increased to 1.49 (95%CI: 1.29-1.74, P < 0.01) in close association with LMR. Further adjustment for high cholesterol and triglycerides yielded the same odds ratio of 1.49 (95%CI: 1.27-1.75, P < 0.01). Receiver operating characteristic curve analysis revealed 74% sensitivity, 64% specificity, and 0.74 area under the curve (95%CI: 0.67-0.80, P < 0.001), suggesting moderate predictive accuracy for diabetic CAD patients.

CONCLUSION

LMR showed positive association with diabetic coronary artery disease, with moderate predictive accuracy. These findings have implications for improving CAD management in diabetics, necessitating further research and targeted interventions.

Hematological Markers as Predictors of ICU Admission in COVID-19 Patients: A Case-Control Study From a Tertiary Hospital

BACKGROUND

COVID-19 illness severity ranges from mild- to life-threatening cases necessitating critical care. Rapid prediction of disease severity and the need for critical care support in COVID-19 patients remain essential, not only for current management but also for preparedness in future pandemics. This study aimed to assess hematological parameters as predictors of intensive care unit (ICU) admission and survival in COVID-19 patients, providing insights applicable to a broad range of infectious diseases.

METHODS

A case-control study was conducted at Hospital Raja Perempuan Zainab II, a tertiary referral hospital in Kelantan, Malaysia, from March 2020 to August 2021. Demographics, clinical, and laboratory data were retrieved from patients' medical records. Statistical analyses, including the Chi-square (χ2) test, independent t-tests, and simple and multiple logistic regressions, were used to analyze the data. A receiver operating characteristic (ROC) curve analysis was conducted to assess the accuracy of the predictors.

RESULTS

The median age was 51 years, with females comprising 56.7% (n=148) and males 43.3% (n=113). A total of 88.5% of patients were admitted to non-ICU wards, with a mortality rate of 5.7%. Significant differences were observed in the distribution of hematological parameters between ICU-admitted and non-admitted patients. Neutrophil (OR: 23.96, 95% CI: 7.296-78.675) and white blood cell (WBC) count (OR: 36.677, 95% CI: 2.086-644.889) were the most significant predictors for ICU admission and survival, respectively.

CONCLUSIONS

WBC and neutrophil counts exhibited high predictive value for ICU admission, while WBC, neutrophil, lymphocyte, and immature granulocyte (IG) counts were significant predictors of survival status among COVID-19 patients. These findings underscore the continued relevance of hematological markers in managing severe respiratory infections and improving critical care triage, with implications for current and future healthcare challenges.

Association of systemic inflammatory indices with anthropometric measures, metabolic factors, and liver function in non-alcoholic fatty liver disease

The present cross-sectional study aimed to explore the relationship between systemic inflammatory indices (SIIs) and anthropometric measures, metabolic, and liver function biomarkers in patients with non-alcoholic fatty liver disease (NAFLD). This study was carried out on 238 NAFLD patients with overweight or obesity, aged 18-55 years. Anthropometric measurements were done and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were estimated. Metabolic factors including serum glucose, lipid profile, liver function biomarkers, and complete blood cell count were assessed after a 24-h fasting state. SIIs including the ratios of neutrophil to lymphocyte (NLR), monocytes to lymphocyte (MLR), platelet to lymphocyte (PLR), and monocytes to high-density lipoprotein cholesterol (MHR) were calculated. Results indicate that apart from PLR, all of the SIIs significantly changed by increasing steatosis severity (all p < 0.05). Moreover, changes in NLR showed a significant association with anthropometric indices including waist circumference (p = 0.032), BMI (p = 0.047), and WHtR (p = 0.002), as well as levels of fasting blood sugar (p = 0.045), triglycerides, (p = 0.025) and low-density lipoprotein cholesterol (p = 0.006). The findings also indicate the relations between lipid profile and all studied SIIs, notably MHR and MLR. All of the SIIs exhibited associations with some liver function indices as well. MHR was positively correlated with the metabolic risk factors of NAFLD while, oppositely, PLR was considered as a preventive marker of NAFLD.

Novel Systemic Inflammatory Markers Predict All-Cause Mortality in Patients Undergoing Endovascular Abdominal Aortic Aneurysm Repair

Background

Clinically useful predictors for risk stratification of long-term survival may assist in selecting patients for endovascular abdominal aortic aneurysm (EVAR) procedures. This study aimed to analyze the prognostic significance of peroperative novel systemic inflammatory markers (SIMs), including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), hemoglobin-to-red cell distribution width ratio (HRR), systemic immune-inflammatory index (SIII), and systemic inflammatory response index (SIRI), for long-term mortality in EVAR.

Methods

A retrospective analysis was performed on 147 consecutive patients who underwent their first EVAR procedure at the Department of Vascular Surgery, Beijing Hospital. The patients were divided into the mortality group (n = 37) and the survival group (n = 110). The receiver operating characteristic curves were used to ascertain the threshold value demonstrating the most robust connection with mortality. The Kaplan-Meier survival analysis was performed between each SIM and mortality. The relationship between SIMs and survival was investigated using restricted cubic splines and multivariate Cox regression analysis.

Results

The study included 147 patients, with an average follow-up duration of 34.28 ± 22.95 months. Deceased patients showed significantly higher NLR (p < 0.001) and reduced HRR (p < 0.001). The Kaplan-Meier estimates of mortality were considerably greater in the higher-NLR group (NLR > 2.77) and lower-HRR group (HRR < 10.64). The hazard ratio (HR) of 0.833 (95% confidence interval (95% CI): 0.71-0.97, p < 0.021) was determined to be statistically significant in predicting death in the multivariable analysis.

Conclusions

Preoperative higher-NLR and lower-HRR have been associated with a lower long-term survival rate in abdominal aortic aneurysm (AAA) patients undergoing elective EVAR. Multivariate Cox regression showed that decreased preoperative HRR is an independent risk factor that increases mortality risk following EVAR. SIMs, such as the NLR and HRR, could be used in future clinical risk prediction methodologies for AAA patients undergoing EVAR. However, additional prospective cohort studies are needed to identify these findings.

Synovial fluid monocyte-to-lymphocyte ratio in knee osteoarthritis patients predicts patient response to conservative treatment: a retrospective cohort study

BACKGROUND

Biomarkers that predict the treatment response in patients with knee osteoarthritis are scarce. This study aimed to investigate the potential role of synovial fluid cell counts and their ratios as biomarkers of primary knee osteoarthritis.

METHODS

This retrospective study investigated 96 consecutive knee osteoarthritis patients with knee effusion who underwent joint fluid aspiration analysis and received concomitant intra-articular corticosteroid injections and blood tests. The monocyte-to-lymphocyte ratio (MLR) and neutrophil-to-lymphocyte ratio (NLR) were calculated. After 6 months of treatment, patients were divided into two groups: the responder group showing symptom resolution, defined by a visual analog scale (VAS) score of ≤ 3, without additional treatment, and the non-responder group showing residual symptoms, defined by a VAS score of > 3 and requiring further intervention, such as additional medication, repeated injections, or surgical treatment. Unpaired t-tests and univariate and multivariate logistic regression analyses were conducted between the two groups to predict treatment response after conservative treatment. The predictive value was calculated using the area under the receiver operating characteristic curve, and the optimal cutoff value was determined.

RESULTS

Synovial fluid MLR was significantly higher in the non-responder group compared to the responder group (1.86 ± 1.64 vs. 1.11 ± 1.37, respectively; p = 0.02). After accounting for confounding variables, odds ratio of non-responder due to increased MLR were 1.63 (95% confidence interval: 1.11-2.39). The optimal MLR cutoff value for predicting patient response to conservative treatment was 0.941.

CONCLUSIONS

MLR may be a potential biomarker for predicting the response to conservative treatment in patients with primary knee osteoarthritis.

Correlation between insulin resistance and the rate of neutrophils-lymphocytes, monocytes-lymphocytes, platelets-lymphocytes in type 2 diabetic patients

BACKGROUND

Insulin resistance (IR) was a prominent feature commonly observed in individuals with type 2 diabetes mellitus (T2DM). T2DM Individuals often exhibited a concomitant presence of low-grade chronic inflammation. In this study conducted retrospectively, the aim was to investigate the connection between neutrophils-lymphocytes rate (NLR), monocytes-lymphocytes rate (MLR), platelets-lymphocytes rate (PLR) and IR, specifically among individuals with T2DM.

METHOD

This study encompassed a cohort of 405 individuals diagnosed with T2DM, comprising cases from January 2021 to November 2022. On the basis of whether there was IR or not, these sufferers were categorized into two cohorts, namely T2DM with IR group (292 cases) and T2DM without IR group (113 cases), as determined by a homeostasis model assessment-IR (HOMA-IR) value exceeding 2.0.

RESULTS

The findings of this study demonstrated compelling evidence of distinct biomarker profiles between individuals with T2DM who had IR and those without IR. Specifically, the IR individuals displayed notably raise NLR, MLR, PLR, C reactive protein (CRP) and serum amyloid A (SAA). Additionally, there was a noticeable decrease in superoxide dismutase (SOD) levels. Furthermore, IR was negatively correlated with SOD values, while positive associations were found between IR and NLR, CRP, and SAA levels (p < 0.05). Moreover, a rise in NLR and PLR levels demonstrated an identical relationship with the prevalence of IR (p = 0.007, p = 0.025, separately). The Receiver operating characteristic (ROC) curve demonstrated that the areas under the curve (AUC) for NLR, MLR, PLR, CRP, SAA and SOD in predicting occurrence of IR in T2DM patients were 0.603, 0.575, 0.581, 0.644, 0.594 and 0.632 respectively, with sensitivity of 79.5%, 95.2%, 46.9%,54.1% (or 51.4), 47.6% (or 45.7%) and 98.6% and specificity of 37.2%, 19.5%, 69.9%, 69% (or 71.7%), 71.6% (or 73.5%) and 23% respectively.

CONCLUSION

Our findings support the notion that higher magnitude of NLR, PLR, MLR, CRP, and SAA values, corresponded to lower SOD levels, indicating a more severe degree of IR in T2DM patients. Additionally, NLR, PLR, MLR, CRP, SAA, and SOD demonstrated predictive potential for assessing IR. Regrettably, due to the retrospective nature of this study, it was not feasible to take a measurement the majority of inflammatory factors and reactive oxygen species (ROS).

Development of a Novel Inflammatory Index to Predict Coronary Artery Disease Severity in Patients With Acute Coronary Syndrome

The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) have previously demonstrated predictive value in coronary artery disease (CAD). We developed on an expanded, novel systemic immune-inflammation response index (SIIRI), calculated as peripheral neutrophil × monocyte × platelet ÷ lymphocyte count. We assessed 240 patients with an acute coronary syndrome that subsequently underwent percutaneous coronary intervention. CAD severity was measured using the SYNTAX score. Laboratory measurements, including cell counts, were obtained on admission. On multivariate analysis, the SIIRI was an independent predictor of severe CAD with an adjusted odds ratio (OR) of 1.666 [1.376-2.017] per 105-unit increase. The SIIRI had the highest area under the receiver operator curve of .771 [.709-.833] compared to the SII, SIRI neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, and platelet-lymphocyte ratio. The optimal cut-off for SIIRI was 4.3 × 105, with sensitivity = 69.9% and specificity = 75.8%. Increment in model performance resulting from adding SIIRI versus other inflammatory indices was assessed using discrimination, calibration, and goodness-of-fit measures. When added to a baseline model, the SIIRI resulted in a significant increase in the c-statistic and significant net reclassification index (.808, P < .0001) and integrated discrimination index (.129, P < .0001), and a decrease in Akaike and Bayesian information criteria.

Relationship between the lymphocyte to C‑reactive protein ratio and coronary artery disease severity

Coronary atherosclerosis is a chronic systemic inflammatory disease. Laboratory parameters such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune inflammation index (SII) have been used to assess inflammation degree and coronary artery disease (CAD) severity. The lymphocyte-to-C-reactive protein ratio (LCR) is a new SII. However, its relationship with CAD development and severity is unclear. A total of 1,107 patients (479 in control group, 628 in CAD group) underwent coronary angiography. The routine and biochemical indices of the venous blood of patients were assessed before coronary angiography. LCR, SII, NLR and PLR were calculated and statistical analyses were performed. Propensity score matching (PSM) and a logistic regression model were used to analyze the relationship between LCR and CAD. After the PSM, 384 pairs of patients with or without CAD were successfully matched. After the median binary classification of all indicators, uni- and multivariate logistic regression analyses showed that platelet count was an independent risk factor and LCR was an independent protective factor. Using the same method, in the coronary heart disease severity group, 212 pairs were successfully matched and NLR and PLR were independent risk factors, while LCR was an independent protective factor. In conclusion, LCR is an independent protective factor against CAD development and severity.

Naples Prognostic Score and Prediction of Left Ventricular Ejection Fraction in STEMI Patients

The Naples score is a new prognostic score developed according to inflammatory and nutritional status and frequently evaluated in cancer patients. The present study aimed to evaluate using the Naples prognostic score (NPS) to predict the development of decreased left ventricular ejection fraction (LVEF) after acute ST-segment elevation myocardial infarction (STEMI). The study has a multicenter and retrospective design and included 2280 patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) between 2017 and 2022. All participants were divided into 2 groups according to their NPS. The relationship between these 2 groups and LVEF was evaluated. The low-Naples risk group (Group-1) included 799 patients, and the high-Naples risk group (Group-2) had 1481 patients. Hospital mortality, shock, and no-reflow rates were found to be higher in Group 2 compared with Group 1 (P < .001, P = .032, P = .004). The NPS was significantly inversely associated with discharge LVEF (B coefficient: -1.51, 95% CI-2.26; -.76, P = .001). NPS, a simple and easily calculated risk score, may help identify high-risk STEMI patients. To the best of our knowledge, the present study is the first to demonstrate the relationship between low LVEF and NPS in patients with STEMI.

Characteristics and predictors of low-grade renal artery stenosis in female patients with CKD

AIM

Renal artery stenosis (RAS) is an important cause of chronic kidney disease (CKD). The main purpose of this study was to explore the clinical characteristics and predictors of low-grade RAS in female patients with CKD.

METHODS

One hundred and five female CKD patients from Huadong Hospital affiliated with Fudan University who underwent 3 T non-contrast renal artery magnetic resonance angiography (MRA) were analyzed. Basic statistics methods were used in the study, such as independent-sample t test,non-parametric test, binary logistic regression analysis and ROC analysis.

RESULTS

In this cross-sectional study, there were 50 patients with RAS and 55 without RAS (47.6% versus 52.4%). Binary logistic regression analysis demonstrated that low-level ALB and lymphocyte count, high-level SP, BUN and NLR were independent risk factors for low-grade RAS in female patients with CKD. ROC analysis indicated that eGFR, FeNa and UBCR, ALB, lymphocyte count and NLR had the best predictive value for low-grade RAS, especially eGFR with a sensitivity of 65.50% and specificity of 72.00% and FeNa with a sensitivity of 71.10% and specificity of 72.20% and BUCR with a sensitivity of 71.10% and specificity of 68.10%.

CONCLUSION

In female patients with CKD, FeNa, eGFR, ALB, UBCR, lymphocyte count and NLR may be good predictors of low-grade RAS, especially eGFR, FeNa and BUCR.

Changes in Arterial Stiffness Monitored Using the Cardio-Ankle Vascular Index in Patients with Rheumatic Disease Receiving Initial Glucocorticoid Therapy: A Clinical Pilot Study

Systemic inflammatory rheumatic diseases predispose to premature birth, accelerated atherosclerosis, and increased cardiovascular disease (CVD). While glucocorticoids (GCs) are used in various rheumatic diseases, and the associations between GC excess and increased prevalence of CVD complications are well established, the mechanisms underlying GCs' role in atheroma development are unclear. We conducted an observational study to address GC therapy's effect on arterial stiffness using the cardio-ankle vascular index (CAVI) in patients with rheumatic diseases. Twenty-eight patients with rheumatic disease received initial GC therapy with prednisolone at doses ranging from 20 to 60 mg/d. CAVI was examined at baseline and 3 and 6 months after GC therapy. Changes in CAVI and inflammatory parameters were evaluated. GC therapy increased the mean CAVI after 3 months but decreased it to pretreatment levels after 6 months. The mean CAVI substantially decreased with GC treatment in patients <65 years but increased in patients ≥65 years. Alterations in CAVI during the 6-month GC treatment negatively correlated with the lymphocyte-to-monocyte ratio (LMR) at baseline. Conversely, no correlation was observed between alterations in CAVI values and conventional inflammatory markers (C-reactive protein and erythrocyte sedimentation rate). Multivariate analysis of factors related to changes in CAVI highlighted young age, high prednisolone dosage, and LMR at baseline. GC temporarily exacerbates but eventually improves arterial stiffness in rheumatic diseases. Particularly in young patients, GC may improve arterial stiffness by reducing inflammation. Therefore, the LMR before GC therapy in rheumatic diseases may be a potential predictor of arterial stiffness.

Naples score is associated with SYNTAX Score in patients with ST-segment elevation myocardial infarction

OBJECTIVE

The Naples Score (NS) predicts adverse outcomes in ST-elevation myocardial infarction (STEMI) patients, but the relationship between NS and the severity of coronary artery disease (CAD) in patients with STEMI has not been studied. In this study, we aimed to evaluate the role of NS at admission in predicting SYNTAX Score (SS).

METHOD

We gathered the data from 499 consecutive STEMI patients who underwent percutaneous coronary intervention between January 2018 and September 2020. Patients were divided into two groups: low SS group (≤22) and intermediate to high SS group (>22). NS was calculated for both groups besides baseline clinical and demographic variables.

RESULTS

NS was higher in the intermediate to high SS group and the SS was increasing as the NS escalates. In multivariate logistic regression analysis, the NS was an independent predictor of intermediate to high SS. Additionally, there was a positive correlation between SS and NS.

CONCLUSION

Presentation NS predicts CAD complexity in patients with STEMI.

Systemic immune-inflammation index in patients with generalized stage III grade C periodontitis

OBJECTIVES

Systemic immune-inflammation index (SII) is a novel, inflammatory biomarker whose role in predicting several chronic systemic diseases has been recently identified. However, its association with generalized stage III grade C periodontitis in young adults remains unknown.

MATERIAL AND METHODS

The study is a multicentered, double-blind, hospital-based case-control clinical study. Periodontal examination comprised of recording plaque index, sites with bleeding on probing, pocket depth and clinical attachment loss for patients with generalized stage III grade C periodontitis and periodontally healthy group. Complete blood counts were obtained and used for calculating SII, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio. Collected data were then subjected to statistical analyses.

RESULTS

SII was significantly higher in patients with generalized stage III grade C periodontitis compared to periodontally healthy individuals (723.87 vs. 537.74 × 109 /L, p < 0.0001). SII is associated with severe periodontitis in young adults (odds ratio [OR]:11.86, 95% CI 9.61-20.76, p < 0.0001) after adjusting for factors found significant in univariate analysis. Receiver operative curve analysis demonstrated a fair predictive validity of SII in detecting generalized stage III grade C periodontitis in young adults (AUC: 0.766, 95%CI 0.731-0.799, p < 0.0001, sensitivity 81.27%, specificity 76.50% and diagnostic accuracy 78.89%). SII did not exhibit superior predictive validity when compared with NLR in the context of generalized stage III grade C periodontitis (AUC for SII: 0.766, 95%CI 0.731-0.799, AUC for NLR: 0.788, 95% CI 0.754-0.819; p = 0.28).

CONCLUSION

SII is associated with generalized stage III grade C periodontitis in young adults.

Consumption of Different Egg-Based Diets Alters Clinical Metabolic and Hematological Parameters in Young, Healthy Men and Women

Eggs-particularly egg yolks-are a rich source of bioactive nutrients and dietary compounds that influence metabolic health, lipid metabolism, immune function, and hematopoiesis. We investigated the effects of consuming an egg-free diet, three egg whites per day, and three whole eggs per day for 4 weeks on comprehensive clinical metabolic, immune, and hematologic profiles in young, healthy adults (18-35 y, BMI < 30 kg/m2 or <30% body fat for men and <40% body fat for women, n = 26) in a 16-week randomized, crossover intervention trial. We observed that average daily macro- and micronutrient intake significantly differed across egg diet periods, including greater intake of choline during the whole egg diet period, which corresponded to increased serum choline and betaine without altering trimethylamine N-oxide. Egg white and whole egg intake increased serum isoleucine while whole egg intake reduced serum glycine-markers of increased and decreased risk of insulin resistance, respectively-without altering other markers of glucose sensitivity or inflammation. Whole egg intake increased a subset of large HDL particles (H6P, 10.8 nm) and decreased the total cholesterol:HDL-cholesterol ratio and % monocytes in female participants using combined oral contraceptive (COC) medication (n = 11) as compared to female non-users (n = 10). Whole egg intake further increased blood hematocrit whereas egg white and whole egg intake reduced blood platelet counts. Changes in clinical immune cell counts between egg white and whole egg diet periods were negatively correlated with several HDL parameters yet positively correlated with measures of triglyceride-rich lipoproteins and insulin sensitivity. Overall, the intake of whole eggs led to greater overall improvements in micronutrient diet quality, choline status, and HDL and hematologic profiles while minimally-yet potentially less adversely-affecting markers of insulin resistance as compared to egg whites.

Prognostic value of monocyte-to-lymphocyte ratio for 90-day all-cause mortality in type 2 diabetes mellitus patients with chronic kidney disease

The role of inflammation and the correlation between inflammatory markers and type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) have been studied. In clinical work, a large number of T2DM patients complicated with CKD, but the cause of CKD was not clear. Our study aimed to evaluate the relationship between monocyte-to-lymphocyte ratio (MLR) and mortality in T2DM patients with CKD. The data from Medical Information Mart for Intensive Care III was analyzed. The primary outcome was 90-day all-cause mortality; the secondary outcomes were the length of ICU stay, hospital mortality and 30-day all-cause mortality. Cox regression was used to evaluate the association between MLR and 90-day mortality. We performed subgroup analyses to determine the consistency of this association, and used Kaplan-Meier survival curve to analysis the survival of different levels of MLR. A total of 1830 patients were included in study retrospectively. The length of ICU stay, 30-day all-cause mortality, and 90-day all-cause mortality in the MLR > 0.71 group were significantly higher than those in the MLR < 0.28 and 0.28 ≤ MLR ≤ 0.71 group. In Cox regression analysis, high MLR level was significantly associated with increased greater risk of 90-day all-cause mortality. The adjusted HR (95%CIs) for the model 1, model 2, and model 3 were 2.429 (1.905-3.098), 2.070 (1.619-2.647), and 1.898 (1.478-2.437), respectively. Subgroup analyses also showed the consistency of association between MLR and 90-day all-cause mortality. The Kaplan-Meier survival curve analysis revealed that MLR > 0.71 had worst prognosis. In T2DM patients with CKD in the intensive care unit, high MLR was significantly associated with increased risk 90-day all-cause mortality.

Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease

Pretest probability (PTP) for assessing obstructive coronary artery disease (ObCAD) was updated to reduce overestimation. However, standard laboratory findings and electrocardiogram (ECG) raw data as first-line tests have not been evaluated for integration into the PTP estimation. Therefore, this study developed an ensemble model by adopting machine learning (ML) and deep learning (DL) algorithms with clinical, laboratory, and ECG data for the assessment of ObCAD. Data were extracted from the electronic medical records of patients with suspected ObCAD who underwent coronary angiography. With the ML algorithm, 27 clinical and laboratory data were included to identify ObCAD, whereas ECG waveform data were utilized with the DL algorithm. The ensemble method combined the clinical-laboratory and ECG models. We included 7907 patients between 2008 and 2020. The clinical and laboratory model showed an area under the curve (AUC) of 0.747; the ECG model had an AUC of 0.685. The ensemble model demonstrated the highest AUC of 0.767. The sensitivity, specificity, and F1 score of the ensemble model ObCAD were 0.761, 0.625, and 0.696, respectively. It demonstrated good performance and superior prediction over traditional PTP models. This may facilitate personalized decisions for ObCAD assessment and reduce PTP overestimation.

Inflammatory biomarkers may predict response to phosphodiesterase type 5 inhibitor treatment in patients with erectile dysfunction

PURPOSE

In this study, we aimed to evaluate the clinical utility of the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and monocyte/high-density lipoprotein cholesterol ratio (MHR) in predicting response to a phosphodiesterase type 5 inhibitor (PDE5i) when used as the first-line medical treatment of erectile dysfunction (ED).

MATERIALS AND METHODS

This study prospectively included 185 patients who were diagnosed with ED and started PDE5i treatment. After PDE5i treatment, 107 (57.8%) patients with an International Index of Erectile Function-5 (IIEF-5) score below 22 were assigned to Group 1, and 78 (42.2%) patients with an IIEF-5 score of 22 or above were assigned to Group 2. The outcome measures of the study were demographic characteristics and inflammation markers between the groups.

RESULTS

The mean IIEF-5 change after PDE5i treatment was 6.1±4.2 points in Group 1 and 11.5±3.2 points in Group 2 (p=0.001). The mean age was 54.6±9.2 years in Group 1 and 47.8±10.3 years in Group 2 (p<0.001), and the median fasting blood glucose values of Groups 1 and 2 were 105 (36) mg/dL and 97 (23) mg/dL, respectively (p=0.010). The LMR and MHR values were 2.39±0.23 and 13.8±7, respectively, for Group 1, and 2.03±0.22 and 17±6.6, respectively, for Group 2 (p=0.044 and p=0.002, respectively). On multivariable analysis, younger age and increased MHR were independent predictors of benefit from PDE5i treatment.

CONCLUSIONS

This study showed that only MHR as an inflammatory biomarker was an independent predictor for response to PDE5i in the treatment of ED. Also, several factors were predictive of treatment failure.

Baseline neutrophil-to-lymphocyte ratio and efficacy of SGLT2 inhibition with empagliflozin on cardiac remodelling

AIMS

The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation and plays a critical role in the assessment and prognosis in patients with heart failure. The EMPA-HEART CardioLink-6 trial demonstrated that patients with type 2 diabetes (T2D) and coronary artery disease (CAD) treated with a sodium-glucose transport protein 2 inhibitor for 6 months experienced regression in left ventricular mass. Given this, we evaluated the relationship of baseline NLR and cardiac reverse remodelling in the entire cohort of this trial.

METHODS AND RESULTS

A total of 97 individuals were randomized to receive empagliflozin (10 mg/day) or placebo for 6 months. The primary outcome of the trial was change in left ventricular mass indexed to body surface area (LVMi) from baseline to 6 months as measured by cardiac magnetic resonance imaging. In our analysis, the cohort was stratified above and below an NLR level of 2. To assess the treatment effect on the 6 month change in NLR, we used a linear model adjusting for baseline differences in NLR [analysis of covariance (ANCOVA)] that included an interaction term between the baseline NLR and treatment. To assess the treatment effect on the 6 month change in LVMi in each of the subgroups divided by baseline NLR, we used an ANCOVA adjusting for baseline differences in LVMi that included an interaction term between the subgroups and treatment. The results of the regression models were summarized as adjusted differences with two-sided 95% confidence intervals (CIs). Patients who exhibited an elevated baseline NLR demonstrated higher LVMi and left ventricular end-diastolic volume indexed to body surface area than those with a lower NLR. In patients with an NLR < 2 and NLR ≥ 2, the adjusted difference in LVMi between the empagliflozin- and placebo-treated patients was -2.98 g/m² (95% CI: -6.18 to 0.22 g/m² ) (P value = 0.067) and -4.43 g/m² (95% CI: -8.50 to -1.11 g/m² ), respectively (P_interaction  = 0.60).

CONCLUSIONS

Empagliflozin treatment is associated with consistent reductions in LVMi in patients with T2D and CAD independent of baseline NLR.

Importance of so called "novel cardiovascular risk factors" in severity of coronary artery calcification; how serious they should be taken: a systematic review and metaanalysis

Cardiovascular diseases are among important causes of death. Atherosclerosis is an important etiology for coronary artery diseases in which coronary artery calcification plays a principal role. Recently novel cardiovascular risk factors in coronary calcification are under attention. In this study, we investigated possible association between novel cardiovascular risk factors and coronary calcification. This is a prospectively registered systematic review and meta-analysis in PROSPERO and was performed in accordance with PRISMA guidelines. Medical databases were searched. Primary papers were screened and studies reporting our outcomes of interest were selected for data extraction. Quantitative data syntheses were performed using Comprehensive Meta-analysis Ver.3. In this study, 5252 papers were screened and finally 28 papers including 31241 patients underwent data extraction. Based on our findings, neutrophil/lymphocyte ratio (8 out of 10), red cell distribution width (r = 0.250, p < 0.0001), and interleukin 6 (odds ratio [OR]: 1.101 [95% confidence interval (CI): 1.001-1.210], p = 0.047) were associated with severity of coronary calcification while C-reactive protein (one out of eight) was not associated with coronary calcification. Results of lymphocyte/monocyte ratio (r = -0.120, p < 0.001), platelet/lymphocyte ratio (OR: 1.47 [95% CI: 0.89-2.41, p = 0.124]), and MPV (r = 0.017, p = 0.814 vs. OR: 1.91 [95% CI: 1.28-2.85, p = 0.002]) remained controversial due to few number of included studies or contrary results. We can conclude that neutrophil/lymphocyte ratio, red cell distribution width, and interleukin-6 are significantly associated with coronary calcification and C-reactive protein is not significantly associated with severity of coronary calcification. Our results about mean platelet volume, platelet/lymphocyte ratio, and lymphocyte/monocyte ratio are not reliable and require further investigations.

Prognostic value of systemic inflammatory response index in patients with acute coronary syndrome undergoing percutaneous coronary intervention

BACKGROUND

The systemic inflammatory response index (SIRI) is a novel inflammatory biomarker in many diseases.

OBJECTIVES

The aim of this study was to examine the association between SIRI and adverse events in patients with the acute coronary syndrome (ACS) undergoing percutaneous coronary intervention.

METHODS

A total of 1724 patients with ACS enrolled from June 2016 to November 2017 at a single centre were included in this study, and SIRI was calculated for each patient. The primary endpoint was the composite of major adverse cardiovascular events (MACE), including overall death, non-fatal myocardial infarction, non-fatal stroke, and unplanned repeat revascularization.

RESULTS

During a median follow-up of 927 days, 355 patients had MACE. Multivariate Cox analysis showed that SIRI was significantly associated with MACE (hazard ratio: 1.127, 95% confidence interval: 1.034-1.229 p = .007). The results were consistent in multiple sensitivity analyses. The addition of SIRI had an incremental effect on the predictive ability of the Global Registry of Acute Coronary Events risk score for MACE (integrated discrimination improvement: 0.007, p = .040; net reclassification improvement: 0.175, p = .020; likelihood ratio test: p < .001). The restricted cubic spline showed a monotonic increase with a greater SIRI value for MACE (p < .001).

CONCLUSION

SIRI was an independent risk factor for MACE and provided incremental prognostic information in patients with ACS undergoing percutaneous coronary intervention. KEY MESSAGESThe SIRI is a strong and independent risk factor for adverse outcomes in patients with ACS undergoing percutaneous coronary intervention.Higher SIRI is associated with a more severe disease status.The SIRI could increase the prognostic value of the GRACE risk score.

Abnormal peripheral blood cell counts in neurofibromatosis type 1

Neurofibromatosis type 1 (NF1), also known as von Recklinghausen disease, is an autosomal dominant disease characterized by neurofibromas with infiltration of mast cells. Neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR) and basophil-to-lymphocyte ratio (BLR) are examined as markers for various diseases. However, these parameters have not yet been assessed for NF1. This study therefore examined these parameters in NF1 patients. We recruited 153 NF patients (78 males, 75 females) and 51 control patients (31 males, 20 females). Complete blood counts were performed, then NLR, LMR, PLR and BLR were calculated. Neutrophil count was significantly higher in male NF1 patients than in male controls. Lymphocyte count was significantly lower in NF1 patients than in controls for both sexes. Monocyte count was significantly higher in male NF1 patients than in male controls. Basophil count was significantly higher in male NF1 patients than in male controls. NLR, PLR and BLR were significantly higher in NF1 patients than in controls for both sexes. LMR was significantly lower in NF1 patients than in controls for both sexes. NF1 shows high NLR, PLR and BLR and low lymphocyte count and LMR.

Extra Virgin Olive Oil and Cardiovascular Protection in Chronic Kidney Disease

The high mortality related to chronic kidney disease (CKD) is not only due to the disease itself; in fact, CKD also represents an important risk factor for cardiovascular (CV) morbidity and mortality. Among the functional foods that seems to have cardioprotective action, extra virgin olive oil (EVOO) plays a pivotal health-promoting role. The aim of this study was to evaluate the possible cardioprotective effects of an EVOO containing a very high content (>900 ppm) of minor phenolic compounds (MPCs). The selected EVOO was analyzed by HPLC-DAD-MS to establish the MPC content. The Olea extract obtained from the selected EVOO was tested against the RAW 264.7 cell line in order to investigate its anti-inflammatory activity. We enrolled 40 CKD patients under conservative therapy for in vivo clinical testing. All CKD patients consumed 40 mL/day of raw EVOO for 9 weeks (T1). At baseline (T0) and at T1, we monitored the patients’ blood and urinary parameters. The patients’ body composition was assessed using bioelectrical impedance analysis and the carotid intima-media thickness (CIMT) using ultrasound imaging. At T1, we observed a decrease in inflammatory parameters, CIMT, and oxidative stress biomarkers. We also noticed improvements in lipid and purine metabolism, atherogenic indices, and body composition. Thus, this study highlighted the cardioprotective action of EVOO in nephropathic patients.

Lymphocyte-to-monocyte ratio associated with severe post-stenotic aortic dilation in a case-control study

Background

Calcific aortic valve stenosis (CAVS) represents a serious health threat to elderly patients. Post-stenotic aortic dilation, a common feature in CAVS patients, might progress into aneurysm and even dissection, potential consequences of CAVS, and predicts a poor prognosis. This study sought to investigate the association of lymphocyte-to-monocyte ratio (LMR), an inflammatory biomarker, with severe post-stenotic aortic dilation in a case–control study in Chinese population.

Materials and methods

208 consecutive patients with CAVS were recruited retrospectively in a case–control study in Chinese population, from July 1, 2015 to June 31, 2018. LMR was statistically analyzed using the ROC curve and binary logistic regression analyses for its prognostic value in severe post-stenotic aortic dilation.

Results

LMR was significantly reduced in patients with severe post-stenotic aortic dilation (2.72 vs. 3.53, p = 0.002 < 0.05) compared to patients without severe post-stenotic aortic dilation. There was an inverse correlation observed between the maximal diameter of ascending aorta and LMR in the overall patients (r = − 0.217, p = 0.002 < 0.05). For post-stenotic aortic dilation, the prevalence of high-LMR group was statistically lower than that of low-LMR group (19.7% vs. 43.9%, p < 0.001). The maximal diameter of ascending aorta was significantly reduced in the high-LMR group (4.35 vs. 4.76, p = 0.003 < 0.05) compared to low-LMR group. Additionally, LMR was identified in the multivariate analysis independently associated with severe post-stenotic aortic dilation (AUC 0.743, 95% CI: [0.573–0.964], p = 0.025).

Conclusions

This study provided the evidence of an inverse correlation between severe post-stenotic aortic dilation and LMR. LMR is potentially independently associated with severe post-stenotic aortic dilation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-022-02636-3.

P. G, Rahman W. Clinical and diagnostic significance of blood leukocyte ratios in young patients with stage III grade C periodontitis

OBJECTIVES

Blood leukocyte ratios have been recently proposed as simple, rapid, cheap and easily accessible biomarkers of systemic inflammation. However, little is known about the relationship of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) with periodontitis, which might not only serve as the potential biomarkers of systemic inflammation but also aid in diagnosis/screening of severe periodontitis. Hence, the purpose of this study was to evaluate the differences in the serum levels of these leukocyte ratios in healthy subjects and patients with generalized stage III Grade C periodontitis, and their applicability in identifying patients with the risk of developing severe periodontitis.

MATERIAL AND METHODS

The subjects were categorized into case and control group. Clinical parameters including Plaque index (PI), modified Gingival Index (mGI), Mean ratio of bleeding sites, Probing Pocket depth (PPD) and the clinical attachment loss (CAL) were assessed in both the groups. Venous blood samples were collected from subjects from both groups for the biochemical analysis and blood leukocyte ratios- NLR, PLR and LMR were calculated. The values were then subjected to statistical analysis.

RESULTS

The results showed significantly higher NLR and lower LMR values in patients with generalized stage III grade C periodontitis. Both the blood leukocyte ratios were moderately associated with increasing clinical parameters of periodontal disease. However, the values of PLR, although found to be higher in the periodontitis group, did not make a significant difference when compared with periodontally healthy subjects. The cut-off value of >2.15 for NLR and <7.16 for LMR fairly predicted the risk of severe periodontitis in young adults.

CONCLUSIONS

NLR and LMR can provide a new insight into the relationship between periodontitis and systemic diseases and can be of potential diagnostic value in identifying patients with severe periodontitis of younger age group.

Effects on white blood cell counts and the NLRP3 inflammasome due to dust and cobalt exposure in the hard metal industry

INTRODUCTION

In light of potential negative health effects of cobalt exposure, a characterization of inflammatory mechanisms in exposed individuals is warranted. The current study investigated cobalt exposure in the Swedish hard metal industry and its relationship to inflammatory markers, including NLRP3 inflammasome activation and white blood cell (WBC) counts.

MATERIALS AND METHODS

Inhalable cobalt and dust exposures, and systemic cobalt levels, were determined for 72 workers in the hard metal industry and linear regression models were applied to correlate exposure to markers of inflammasome activation and WBC counts.

RESULTS

Mean exposures to inhalable dust (0.11 mg/m³) and cobalt (0.0034 mg/m³) were below the Swedish occupational exposure limits, and these low exposures did not correlate with any investigated outcomes. Instead, cobalt blood levels significantly correlated with a ca 10% decrease in IL-18 plasma levels per 10 nM cobalt increase. Furthermore, pre-shift cobalt blood and/or urine levels significantly correlated with some WBC measures, including decreased neutrophil-to-lymphocyte ratio, increased lymphocyte-to-monocyte ratio, and lymphocyte counts.

CONCLUSION

The low inhalable particle exposures had no impact on WBC counts and inflammasome activation. Instead, systemic cobalt levels, which also include skin exposure, demonstrated possible suppressive effects on inflammatory responses in cobalt-exposed individuals in the hard metal industry.

Effects of IL-32 polymorphisms and IL-32 levels on the susceptibility and severity of coronary artery disease

Background

Interleukin‐32 (IL‐32) has long been proposed as a biomarker for coronary artery disease (CAD). We aimed to evaluate the association between IL‐32 levels and coronary stenosis severity, IL‐32 polymorphisms rs28372698 and rs4786370, and CAD susceptibility.

Methods

A total of 362 patients with definite or suspected CAD that underwent angiography were recruited (CAD group, n = 175; nonobstructive CAD group, n = 56; control group, n = 131). The severity of coronary stenosis was assessed using the Gensini score and the number of diseased vessels. IL‐32 levels were determined using enzyme‐linked immunosorbent assay. Gene polymorphisms were genotyped using PCR and sequencing techniques.

Results

IL‐32 levels were significantly different at different levels of coronary artery stenosis (p < 0.05), and logIL‐32 was positively correlated with the Gensini score (r = 0.357, p < 0.01). Multivariate logistic regression analysis revealed that IL‐32 was independently associated with CAD (OR = 6.526, 95% CI: 3.344–12.739, p < 0.01). The receiver operating characteristic analysis revealed the area under the curve for discriminating the CAD and Gensini score were 0.605 and 0.613, respectively. Furthermore, IL‐32 levels were significantly higher before percutaneous coronary intervention (PCI) than at 7 days post‐PCI (p = 0.012). The homozygous TT genotype and T allele of rs28372698 were found to be associated with increased risk of CAD, while TT homozygosity and the T allele of rs4786370 with reduced risk of CAD (p < 0.05). However, both SNPs had no obvious effect on IL‐32 levels or coronary stenosis severity in patients with CAD.

Conclusion

To the best of our knowledge, our study is the first to show that rs28372698 and rs4786370 are associated with CAD susceptibility in Chinese Han population. We also suggest that plasma IL‐32 levels may be indicative of coronary artery stenosis and the efficacy of PCI and provide guidance for risk stratification and disease management.

The lymphocyte/monocyte ratio and red blood cell transfusion during radical retropubic prostatectomy

Purpose

Despite improvements of strategy in radical retropubic prostatectomy, blood loss is still a major concern. The lymphocyte/monocyte (LM) ratio is a prognostic indicator for various diseases. We identified the risk factors, including the LM ratio, for red blood cell (RBC) transfusion during radical retropubic prostatectomy.

Methods

This retrospective study assessed patients who underwent radical retropubic prostatectomy between March 2009 and December 2020. To determine the risk factors for RBC transfusion, a multivariate logistic regression analysis was conducted. A receiver operating characteristic (ROC) curve analysis was also performed. Postoperative outcomes, including acute kidney injury (AKI), hospitalization duration, and intensive care unit (ICU) admission, were also evaluated.

Results

Among 1302 patients, 158 patients (12.1%) received an intraoperative RBC transfusion. Multivariate logistic regression analysis demonstrated that the risk factors for RBC transfusion were the LM ratio, hemoglobin, 6% hydroxyethyl starch amount, and positive surgical margin. The area under the ROC curve of LM ratio was 0.706 (cut-off = 4.3). The LM ratio at ≤ 4.3 was significantly related to transfusion in multivariate-adjusted analysis (odds ratio = 4.598, P < 0.001). AKI and ICU admission were significantly higher, and the hospitalization duration was significantly longer in patients with RBC transfusion.

Conclusions

The LM ratio was a risk factor for RBC transfusion in radical retropubic prostatectomy. The optimal cut-off value of the LM ratio to predict transfusion was 4.3. RBC transfusion was associated with poor postoperative outcomes. Therefore, our results suggest that the LM ratio provide useful information on RBC transfusion in radical retropubic prostatectomy.

Evaluation of hematological parameters and inflammatory markers in children with COVID-19

Background

The aim of this study was to evaluate hematological parameters in children with COVID-19 and determine the effects of inflammatory biomarkers on the assessment of hospitalization.

Methods

This retrospective single-center study was performed on 633 children with COVID-19 between March 2020 and January 2021. The study population was separated into two groups: inpatients (n = 83) and outpatients (n = 550). Univariate and multivariate logistic regression was applied to identify risk factors for hospitalization.

Results

Lymphopenia (n = 228, 36%) was found mainly to be a hematological abnormality in all cases. Compared with outpatients, inpatients had significantly higher white blood cell (WBC) (p = 0.005), lymphocyte (p < 0.001), and platelet counts (p = 0.036), and significantly higher red cell distribution width (p = 0.001), C-reactive protein (CRP) (p = 0.003), procalcitonin (p = 0.001), d-dimer (p < 0.001), and lymphocyte to monocyte ratio values (p = 0.004). On the other hand, they had significantly lower values of hemoglobin (p < 0.001), neutrophil to lymphocyte ratio (p = 0.024), platelet lymphocyte ratio (p = 0.001), derivated neutrophil to lymphocyte ratio (p = 0.037), and mean platelet volume to lymphocyte ratio (p < 0.001). ROC analysis showed that WBC, CRP, and procalcitonin cutoff values were the best discriminated between inpatients and outpatients. The results for the areas under the curve of WBC, CRP, and procalcitonin used to assess patients’ hospitalization were 0.595 (95% CI 0.519–0.670, p = 0.005), 0.599 (95% CI 0.527–0.672, p = 0.003), and 0.599 (95% CI 0.525–0.673, p = 0.004), respectively.

Conclusion

We suggest that high WBC and procalcitonin levels can be used as independent predictors of hospitalization in children with COVID-19.

Predictive accuracy of lymphocyte-to-monocyte ratio and monocyte-to-high-density-lipoprotein-cholesterol ratio in determining the slow flow/no-reflow phenomenon in patients with non-ST-elevated myocardial infarction

OBJECTIVE

To investigate whether inflammation based scores including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) predict the slow flow (SF)/no-reflow (NR) phenomenon comparatively in patients with non-ST-elevated Myocardial Infarction (NSTEMI) undergoing percutaneous coronary intervention (PCI).

METHODS

Current study is retrospective designed and includes 426 NSTEMI patients (mean age of 56.8 ± 11.4 years). The patients were grouped into non slow flow/no-reflow and slow flow/no-reflow groups according to postintervention thrombolysis in myocardial infarction flow grade.

RESULTS

The slow flow/no-reflow group had significantly higher MHR and lower LMR values than the non slow flow/no-reflow group (P < 0.01 and P < 0.01, respectively). Lower LMR [odds ratio (OR): 0.659, P < 0.01] and higher MHR (OR: 1.174, P = 0.04) were independent predictors of slow flow/no-reflow phenomenon in model 1 and 2 multivariate analyses, respectively. Furthermore, left ventricular ejection fraction (LVEF) (OR: 0.934, P = 0.01; OR: 0.930, P < 0.01), smoking (OR: 2.279, P = 0.03; OR: 2.118, P = 0.04), Syntax score (1.038, P = 0.04; 1.046, P = 0.01) and high thrombus grade (OR: 7.839, P < 0.01; OR: 8.269, P < 0.01), independently predicted the slow flow/no-reflow development in both multivariate analysis models, respectively. The predictive performance of LMR and MHR was not different (P = 0.88), but both predictive powers were superior to NLR (P < 0.01 and P = 0.03, respectively).

CONCLUSION

The MHR and LMR may be useful inflammatory biomarkers for identifying high-risk individuals for the development of slow flow/no reflow in NSTEMI patients who underwent PCI.

Relationship between migraine headache and hematological parameters

Although migraine is a neurological disorder known for its long, physiopathology remains unclear. The aim of this study was to investigate the levels of hematological parameters and neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR) and neutrophil/monocyte ratio (NMR) used as inflammatory markers in patients diagnosed with migraine. This retrospective study was performed with 250 patients and 215 healthy volunteers who were followed up in the neurology outpatient clinic with the diagnosis of migraine. Hematological parameters, C-reactive protein (CRP), NLR, PLR, LMR, NMR ratios were compared in the patient and control groups. Patients with migraine were grouped according to loss of function, the severity of pain and aura. 20.8% of patients in the mean age of 36.37 ± 8.683 had migraine with aura. We found that NMR values in migraine with aura (MWA) were significantly higher than in the control group. CRP, PLR and NMR values in migraine without aura (MWOA) were significantly higher than in the control group. Mean platelet volume (MPV) and platelet values were higher in patients with MWA and MWOA compared to the control group but did not show a statistically significant difference. We believe that these results support systemic inflammation in patients with migraine and the presence of a continuous inflammatory process even in periods without attacks. More comprehensive studies are needed to clarify the underlying pathophysiology that may guide the follow-up and treatment of the disease.

The Clinical Implication of Dynamic Hematological Parameters in COVID-19: A Retrospective Study in Chongqing, China

Purpose

To analyze the clinical characteristics of patients with coronavirus disease 19 (COVID-19) in Chongqing, and identify the potential hematological markers for reference.

Patients and Methods

78 COVID-19-infected patients in Chongqing were recruited and divided into the non-severe and the severe group. The clinical characteristics and hematological features of the patients of the two groups were compared. Receiver-operating characteristic curves (ROC) were calculated to evaluate the diagnostic performance of potential markers, and the dynamic changes of blood routine analyzing items were compared between the non-severe and severe groups.

Results

78 patients (median age of 45 years, 41 females and 37 males) were enrolled. The patients in the severe group exhibited significantly lower lymphocyte (P<0.05) but higher neutrophil to lymphocyte ratio (NLR) (P<0.05) than the patients in the non-severe group. The highest area under the ROC curve (AUC) was lymphocyte (0.74). The patients in the severe group had a lower level of lymphocyte during hospitalization (P<0.01) and lymphocyte-monocyte ratio (LMR) in the progressive and convalescent phases (P<0.05) than the patients in the non-severe group. However, the level of neutrophil of the patients in the severe group was higher in the progressive phase (P<0.05), and so was NLR in the acute, progressive, and convalescent-phase (P<0.05).

Conclusion

Infected with COVID-19 changed the levels of lymphocyte, neutrophil, LMR, and NLR in the blood, and these analyzing items were significantly different between the non-severe and severe groups. Furthermore, the dynamic changes of lymphocyte and NLR levels may help discriminate the severe group from the non-severe group.

AST to Platelet Ratio Index (APRI) is an easy-to-use predictor score for cardiovascular risk in metabolic subjects

Visceral obesity is characterized by a low-grade inflammatory systemic state that contributes to the genesis of non-alcoholic fatty liver disease (NAFLD), frequently associated with liver fibrosis. Non-invasive serum markers have recently emerged as reliable, easy-to-use scores to predict liver fibrosis. NAFLD is often linked to metabolic and cardiovascular risk. Thus, in this cross-sectional study, we investigated in a population of 1225 subjects if AST to Platelet Ratio Index (APRI), one of the non-invasive liver fibrosis serum markers, can predict cardiovascular risk (CVR). APRI has been previously validated as an efficient score to predict liver fibrosis in viral hepatitis patients with a cut-off of 0.5 for fibrosis and 1.5 for cirrhosis. Our study showed that APRI significantly correlates with CVR and determines, when elevated, a significant increase in CVR for both genders, especially females. This spike in CVR, observed when APRI is elevated, is relatively high in patients in the age of 51–65 years, but it is significantly higher in younger and premenopausal women, approaching risk values usually typical of men at the same age. Taken together, our data highlighted the role of APRI as a reliable predictor easy-to-use score for CVR in metabolic patients.

Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission

Aim: COVID-19 is a pandemic that causes high morbidity and mortality, especially in severe patients. In this study, we aimed to search and explain the relationship between biochemical markers, which are more common, easily available and applicable to diagnose and to stage the disease. Materials & methods: In this study, 609 patients were evaluated retrospectively. 11 biochemical parameters were included in analysis to explain the relationship with severity of disease. Results: Nearly, all the parameters that have been evaluated in this study were statistically valuable as a predictive parameter for severe disease. Areas under the curve of blood urea nitrogen (BUN)/albumin ratio (BAR), CALL score and lymphocyte/C-reactive protein ratio were 0.795, 0.778 and 0.770. The BAR and neutrophil/albumin ratios provide important prognostic information for decision-making in severe patients with COVID-19. Conclusion: High BAR and neutrophil/albumin ratios may be a better predictor of severity COVID-19 than other routinely used parameters in admission.

Lymphocyte to monocyte ratio may predict increased carotid intima-media thickness in patients with subclinical hypothyroidism

BACKGROUND

Inflammation has an important role in the pathogenesis of atherosclerosis. Lymphocyte-to-monocyte ratio (LMR) is accepted as an indicator of inflammation.

OBJECTIVE

Our aim was to scrutinize the relationship between LMR and subclinical atherosclerosis (SubAth) measured by carotid intima-media thickness (CIMT) in subclinical hypothyroidism (SubHT).

METHODS

Newly identified 190 SubHT patients were prospectively included into the study. Blood samples were taken for measuring laboratory parameters. Then, CIMT was computed. Patients were seperated into 2 groups by their CIMT value (Group-1: ≤0.9 and Group-2: >0.9 mm), and then stratified into tertiles pursuant to LMR and thyroid-stimulating hormone (TSH) levels, respectively.

RESULTS

59 patients had an increased CIMT value (Group-2), and 131 patients had a normal CIMT value (Group-1). Group-2 had a lower LMR and a greater high-sensitivity C-reactive protein (hsCRP), CIMT and TSH than Group-1 (for all, p < 0.05). Patients in the lowest tertile of LMR had a higher hsCRP, TSH and CIMT than those in the highest tertile (for all, p < 0.05). LMR was negatively associated with hsCRP, CIMT and TSH (for all, p < 0.05). LMR and TSH were independent predictors of increased CIMT.

CONCLUSIONS

Pre-ultrasonographic LMR, which is a simple and inexpensive inflammatory marker, may give additional predictive information to determine SubAth in SubHT.

Dynamic Change of Lymphocyte-to-Monocyte Is Associated With the Occurrence of POCD After Cardiovascular Surgery: A Prospective Observational Study

Objective: Postoperative cognitive dysfunction (POCD) is a common and severe complication of cardiovascular surgery. Lymphocyte-to-monocyte ratio (LMR) has been reported to be an independent predictor of lots of diseases associated with inflammation, but the association between the LMR and POCD is not clear. The present study aimed to investigate the potential value of LMR level to predict POCD in patients undergoing cardiovascular surgery. Methods: A prospective observational study was performed on the patients diagnosed with heart diseases undergoing cardiovascular surgeries with cardiopulmonary bypass. The leukocyte counts were measured by blood routine examination preoperatively. Then we calculated the LMR by dividing the lymphocyte count by the monocyte count. Neurocognitive functions were assessed 1 day before and 7 days after surgery. Perioperative factors were recorded to explore the relationship between LMR and POCD. Results: In total, 75 patients finished the whole study, while 34 patients developed POCD. The preoperative LMR level in the POCD group was higher than that in the non-POCD group. A cutoff value of 4.855 was identified to predict POCD occurrence according to ROC curve. The perioperative dynamic change of LMR level in the POCD group was higher than those in the non-POCD group. A cutoff value of 2.255 was identified to predict POCD occurrence according to ROC curve and the dynamic LMR change had similar varying trend with preoperative LMR level. Conclusions: The dynamic change of LMR level in the peripheral blood is associated with occurrence of POCD, and preoperative LMR level seems to be a prognostic biomarker of postoperative cognitive dysfunction in patients after cardiovascular surgery.

Association of the lymphocyte-to-monocyte ratio, mean diameter of coronary arteries, and uric acid level with coronary slow flow in isolated coronary artery ectasia

Background

The pathophysiology of isolated coronary artery ectasia (CAE) with the coronary slow flow (CSF) phenomenon is still unclear. The purpose of this study was to investigate the risk factors for isolated CAE complicated with CSF.

Methods

A total of 126 patients with isolated CAE were selected retrospectively. The patients were grouped into the no CSF (NCSF) group (n = 55) and the CSF group (n = 71) according to the corrected thrombolysis in myocardial infarction (TIMI) frame count (CTFC). Data on demographics, laboratory measurements, left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), CTFC and diameters of three coronary arteries were collected.

Results

The proportions of males (84.5% vs. 61.8%, p = 0.004) and patients with a smoking history (63.4% vs. 43.6%, p = 0.021) were higher in the CSF group than in the NCSF group. The neutrophil-to-lymphocyte ratio (NLR) (2.08(1.68–3.21) vs. 1.89 ± 0.58, p = 0.001), mean diameter of coronary arteries (mean D) (5.50 ± 0.85 vs. 5.18 ± 0.91, p < 0.001), and uric acid (URIC) level (370.78 ± 109.79 vs. 329.15 ± 79.71, p = 0.019) were significantly higher in the CSF group, while the lymphocyte-to-monocyte ratio (LMR) (4.81 ± 1.66 vs. 5.96 ± 1.75, p < 0.001) and albumin (ALB) level (44.13 ± 4.10 vs. 45.69 ± 4.11, p = 0.036) were lower. Multivariable logistic analysis showed that the LMR (odds ratio: 0.614, 95% CI: 0.464–0.814, p = 0.001), mean D (odds ratio: 2.643, 95% CI: 1.54–4.51, p < 0.001) and URIC level (odds ratio: 1.006, 95% CI: 1.001–1.012, p = 0.018) were independent predictors of CSF in CAE.

Conclusions

The LMR was a negative independent predictor of CSF in isolated CAE, while URIC level and mean D were positive independent predictors.

Prognostic Value of Inflammatory Biomarkers in 5-Year Survival After Endovascular Repair of Abdominal Aortic Aneurysms in a Predominantly Male Cohort: Implications for Practice

BACKGROUND

Prognostic factors of long-term survival can guide selection of patients for endovascular repair of abdominal aortic aneurysms (EVAR). The aim of this study was to evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the lymphocyte-to-monocyte ratio (LMR) and the systemic immune-inflammation index (SIII) with survival after EVAR and to assess whether the addition of these biomarkers improved the prediction of survival after surgery.

METHODS

Retrospective analysis of 284 consecutive patients who underwent an EVAR at a single institution. The association between biomarkers and survival was explored using generalized additive models with penalized smoothing splines and multivariate Cox models. C-statistics and continuous net reclassification indexes (c-NRI) were used to assess the improvement in prediction.

RESULTS

Survival rates at 2 and 5 years were 83.9% and 66.2%, respectively. The predictive score of survival included hemoglobin (HR = 0.849, p = 0.004), statin intake (HR = 0.538, p = 0.004), atrial fibrillation (HR = 2.515, p < 0.001), heart failure (HR = 2.542, p = 0.017) and the non-revascularized coronary artery disease (HR = 2.163, p = 0.004). Spline analyses showed a linear relationship between survival and NLR, PLR, LMR and SII. After adjusting for the predictive score, there was an independent relationship between survival and NLR (HR = 1.072, p = 0.006), PLR (HR = 1.002, p = 0.014) and SII (HR = 1.000, p = 0.043). However, only the addition of NLR improved moderately the c-NRI. A NLR ≥ 3 was independently associated with lower survival rates at 2-years (HR 1.98; 95% CI 1.07-3.66) and 5-years (HR 1.84, 95% CI 1.22-2.78) of follow-up.

CONCLUSIONS

Most inflammatory biomarkers are linear and independently associated with survival after EVAR, but only the NLR improved moderately the prediction of a survival score. Therefore, a NLR ≥ 3 may be used to identify patients with a low survival rate and help in decision-making.

Monocyte lymphocyte ratio As a predictor of Diabetic Kidney Injury in type 2 Diabetes mellitus; The MADKID Study

AIMS

Inflammation is a cardinal pathogenetic mechanism in diabetic kidney injury (DKI). The detection of microalbuminuria (MA) is very important in preventing end-stage renal failure in diabetic subjects. A combination of high monocyte and low lymphocyte counts are used as a marker of inflammation. Monocyte to lymphocyte ratio (MLR) is considered as a marker in inflammatory diseases. We aimed to evaluate the MLR levels in diabetic subjects as a predictive marker in detecting MA.

METHODS

A total of 212 patients with type 2 diabetes mellitus (T2DM) were included in the study. Patients with T2DM were divided into two groups as MA and normoalbuminuria (NA). MLR of the groups were compared.

RESULTS

There were 72 patients in MA and 140 patients in NA group. MLR of the MA and NA groups were 0.247 (0.131-0.540) and 0.211 (0.052-0.390), respectively (p < 0.001). There was a statistically significant correlation between MLR and MA (r = 0.228, p = 0.001). In multivariate backward logistic regression analysis, MLR, fasting blood glucose, HbA1c and presence of comorbid clinical diseases were determined as independent predictors of DKI.

CONCLUSIONS

We suggest that MLR could serve as a predictive and effective marker for DKI in diabetic subjects due to its strong correlation with MA and inexpensive and readily available nature.

Diagnostic performances of neutrophil to lymphocyte ratio and lymphocyte to monocyte ratio in acute ischemic stroke caused by cervicocranial arterial dissection

BACKGROUND

Inflammation plays an important role in the initiation and progression of cervicocranial arterial dissection (CCAD). New inflammatory indices derived from full cell blood count may be associated with increased risk of acute ischemic stroke (AIS) caused by CCAD. The goal of this study is to evaluate the diagnostic performances of neutrophil to lymphocyte ratio (NLR) and lymphocyte to monocyte ratio (LMR) in CCAD.

METHOD

We retrospectively analyzed 52 patients with AIS caused by CCAD from emergency room (group I), 51 patients with CCAD from emergency room or clinic(group II) and 52 controls (group III), age and sex matched. Data were collected on the admission including NLR and LMR.

RESULTS

Neutrophil to lymphocyte ratio and LMR have significant differences among three groups, especially in group I vs both groups II and III (P < .001). There was a negative correlation between admission NLR and LMR. Low LMR level and high NLR level may be associated with severity of AIS caused by CCAD and significantly predict AIS in CCAD. The area under the curve of NLR and LMR were 0.77 and 0.71, respectively, on receiver operating characteristic curve analysis. The optimal cutoff values of NLR and LMR that best discriminated AIS were 2.35 (81% sensitivity and 63% specificity) and 3.67 (64% sensitivity and 77% specificity).

CONCLUSIONS

Neutrophil to lymphocyte ratio neutrophil to lymphocyte ratio and LMR may contribute to the diagnostic evaluation and prompt immediate therapy in patients with CCAD.

Routine blood parameters are helpful for early identification of influenza infection in children

BACKGROUND

Routine blood parameters, such as the lymphocyte (LYM) count, platelet (PLT) count, lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), lymphocytes multiplied by platelets (LYM*PLT) and mean platelet volume-to-platelet ratio (MPV/PLT), are widely used to predict the prognosis of infectious diseases. We aimed to explore the value of these parameters in the early identification of influenza virus infection in children.

METHODS

We conducted a single-center, retrospective, observational study of fever with influenza-like symptoms in pediatric outpatients from different age groups and evaluated the predictive value of various routine blood parameters measured within 48 h of the onset of fever for influenza virus infection.

RESULTS

The LYM count, PLT count, LMR and LYM*PLT were lower, and the NLR and MPV/PLT were higher in children with an influenza infection (PCR-confirmed and symptomatic). The LYM count, LMR and LYM*PLT in the influenza infection group were lower in the 1- to 6-year-old subgroup, and the LMR and LYM*PLT in the influenza infection group were lower in the > 6-year-old subgroup. In the 1- to 6-year-old subgroup, the cutoff value of the LMR for predicting influenza A virus infection was 3.75, the sensitivity was 81.87%, the specificity was 84.31%, and the area under the curve (AUC) was 0.886; the cutoff value of the LMR for predicting influenza B virus infection was 3.71, the sensitivity was 73.58%, the specificity was 84.31%, and the AUC was 0.843. In the > 6-year-old subgroup, the cutoff value of the LMR for predicting influenza A virus infection was 3.05, the sensitivity was 89.27%, the specificity was 89.61%, and the AUC was 0.949; the cutoff value of the LMR for predicting influenza B virus infection was 2.88, the sensitivity was 83.19%, the specificity was 92.21%, and the AUC was 0.924.

CONCLUSIONS

Routine blood tests are simple, inexpensive and easy to perform, and they are useful for the early identification of influenza virus infection in children. The LMR had the strongest predictive value for influenza virus infection in children older than 1 year, particularly in children older than 6 years with influenza A virus infection.