Usefulness of the lymphocyte concentration as a prognostic marker in coronary artery disease

Association between monocyte-lymphocyte ratio and all-cause and cardiovascular mortality in patients with chronic kidney diseases: A data analysis from national health and nutrition examination survey (NHANES) 2003-2010

BACKGROUND

The relationship between monocyte-to-lymphocyte ratio (MLR) and prognosis in patients with chronic kidney disease (CKD) remains unclear. The aim of this study was to investigate the association between MLR and both all-cause mortality and cardiovascular disease (CVD) mortality in patients with CKD.

METHODS

This study analyzed data from National Health and Nutrition Examination Survey 2003-2010. This study included 11262 eligible subjects, and 3015 of them were with CKD. We first compared the differences in clinical characteristics between individuals with and without CKD, and then grouped the CKD population based on quartiles of MLR. The partial correlation analysis was conducted to assess the relationships between MLR and some important clinical features. Cox proportional hazards models were used to investigate the associations between MLR and mortality from all-cause and cardiovascular disease. Restricted cubic spline (RCS) was used to investigate the dose-response relationship between MLR and mortality, the receiver operating characteristic (ROC) curves is used to compare the efficacy of MLR with different clinical biological indicators in assessing the risk of death.

RESULTS

During a median follow-up of 10.3 years in CKD population, 1398 (43%) all-cause deaths and 526 (16%) CVD deaths occurred. It has been found that individuals with CKD have higher MLR level. The partial correlation analysis results showed that even after adjusting for age, sex, and race, MLR is still correlated with blood glucose, lipid levels, and kidney function indicators. The results of the cox proportional hazards regression model and Kaplan-Meier curve shown after adjusting for covariates, higher MLR was significantly associated with an increased risk of mortality. Consistent results were also observed when MLR was examined as categorical variable (quartiles). The RCS demonstrated a positive association between MLR and the risk of all-cause mortality and cardiovascular mortality. The ROC results indicate that the predictive efficacy of MLR for all-cause mortality risk is comparable to eGFR, higher than NLR and CRP. The predictive efficacy of MLR for cardiovascular mortality risk is higher than these three indicators.

CONCLUSION

Compared to non-CKD population, the CKD population has higher levels of MLR. In the CKD population, MLR is positively correlated with the risk of death. Furthermore, the predictive efficacy of MLR for mortality risk is higher than other clinical indicators. This suggests that MLR can serve as a simple and effective clinical indicator for predicting mortality risk in CKD patients.

Prognostic Nutritional Index as a Predictor of No-Reflow Occurrence in Patients With ST-Segment Elevation Myocardial Infarction Who Underwent Primary Percutaneous Coronary Intervention

Nutritional status and its index (Prognostic Nutritional Index, PNI) is an important prognostic factor for ST-segment elevation myocardial infarction (STEMI). The present study investigated whether PNI it is associated with no-reflow in patients with STEMI. In this retrospective study, 404 patients with STEMI and underwent primary percutaneous coronary intervention (pPCI) were consecutively included, between January 2016 and December 2018. No-reflow phenomenon (NRP) was detected in 103 (25.4%) patients. In multivariate logistic regression analysis C-reactive protein (CRP) (odds ratio (OR): 1.693, 95% confidence interval (CI): 1.126-2.547, P = .011), left ventricle ejection fraction (LVEF) (OR: 0.777, 95% CI: 0.678-0.891, P < .001), SYNTAX score (OR: 1.114, 95% CI: 1.050-1.183, P = .001), low density lipoprotein cholesterol (LDL-C) (OR: 1.033, 95% CI: 1.013-1.055, P = .002), hemoglobin level (OR: 0.572, 95% CI: 0.395-0.827, P = .003), PNI (OR: 0.554, 95% CI: 0.448-0.686, P < .001) were associated with NRP. The area under curve of PNI was significantly higher than albumin (z = 4.747, P < .001) and lymphocyte values (z = 3.481 P < .001). PNI was associated with no-reflow occurrence and mortality. So, PNI may be useful to predict NRP risk in patients with STEMI before pPCI.

Usefulness of the Systemic Inflammation Response Index and the Systemic Immune Inflammation Index in Predicting Restenosis After Stent Implantation

Purpose

The systemic inflammation response index (SIRI) and the systemic immune inflammation index (SII) are indicators that reflect the body's overall systemic inflammatory response. Inflammation plays an important role in the pathogenesis of in-stent restenosis (ISR). The aim of this study was to investigate the predictive value of preoperative SIRI and SII for the occurrence of ISR in patients undergoing coronary stent implantation.

Materials and Methods

We retrospectively analyzed the clinical, hematological, and angiographic data of 387 patients who underwent coronary angiography for recurrent angina after coronary stent implantation at Qilu Hospital of Shandong University. Receiver operating characteristic curve (ROC) analysis was used to determine the optimal cutoff values for SIRI and SII to predict ISR. Based on the optimal cutoff values for SIRI and SII, patients were categorized into high-SIRI, low-SIRI, high-SII, and low-SII groups. Multivariate logistic regression models were constructed to assess the predictive value of SIRI and SII for ISR >50% and ISR >70%.

Results

This study included a total of 387 patients who underwent coronary angiography and follow-up at Qilu Hospital of Shandong University. Patients in the high-SIRI group had a higher incidence of ISR than those in the low-SIRI group (ISR >50%: 44.8% vs 30.7%, p = 0.018; ISR >70%: 41.5% vs 4.5%, p < 0.001). In addition, ISR occurred more frequently in patients with a higher SII than in patients with a lower SII (ISR >50%: 52.6% vs 35.7%, p = 0.001; ISR >70%: 51.9% vs 23%, p < 0.001). In multivariate logistic regression analysis, SIRI and SII were found to be independent predictive factors for ISR, both as continuous and categorical variables. In the ROC analysis, the optimal cutoff value for SIRI was set at 0.54 (sensitivity: 84.5%, specificity: 27%), and the optimal cutoff value for SII was set at 545.29 (sensitivity: 44.1%, specificity: 71.7%).

Conclusion

Elevated preoperative SIRI and SII values help predict ISR and may serve as a useful screening tool to perform interventional procedures based on the patient's risk of ISR after stent implantation.

The predictive value of systemic immune-inflammation index for long-term cardiovascular mortality in non-ST segment elevation myocardial infarction

BACKGROUND

Increased levels of inflammatory markers have been found in association with the severity of coronary atherosclerosis. Systemic immuneinflammation index (SII), which is calculated by multiplying neutrophil and platelet counts and then dividing the result by the lymphocyte count, can also be used as a prognostic indicator in different cardiovascular diseases. In this study, we investigated SII levels and long-term mortality of patients with non-ST segment elevation myocardial infarction (NSTEMI).

METHODS

This is an observational, single-center study. Two hundred-eight patients who underwent coronary angiography for NSTEMI were included in the study. Patients were divided into 3 tertiles based on SII levels. We researched the relationship between level level and 1, 3 and 5 years mortality (NSTEMI).

RESULTS

One-year mortality of the patients was significantly higher among patients in the upper SII tertile when compared with the lower and middle SII tertile groups [11 (15.9%) vs. 2 (2.9%) and 6 (8.7%); P  = 0.008, P  = 0.195, respectively). Three-year mortality of the patients was significantly higher among patients in the upper SII tertile when compared with the lower and middle SII tertile groups [21 (30.4%) vs. 5 (7.1%) and 12 (17.4%); P  < 0.001, P  = 0.072, respectively). Five-year mortality of the patients was significantly higher among patients in the upper SII tertile when compared with the lower and middle SII tertile groups [26 (37.7%) vs. 8 (11.4%) and 15 (21.7%); P  < 0.001, P  = 0.040, respectively).

CONCLUSION

Our study showed that NSTEMI patients with higher SII had worse long-term mortality.

Impacts of systemic inflammation response index on the prognosis of patients with ischemic heart failure after percutaneous coronary intervention

Background

Atherosclerosis and cardiovascular diseases are significantly affected by low-grade chronic inflammation. As a new inflammatory marker, the systemic inflammation response index (SIRI) has been demonstrated to be associated with several cardiovascular disease prognoses. This study aimed to investigate the prognostic impact of SIRI in individuals having ischemic heart failure (IHF) following percutaneous coronary intervention (PCI).

Methods

This observational, retrospective cohort study was conducted at a single site. Finally, the research involved 1,963 individuals with IHF who underwent PCI, with a 36-month follow-up duration. Based on the SIRI quartiles, all patients were classified into four groups. Major adverse cardiovascular events (MACEs) were the primary outcomes. Every element of the main endpoint appeared in the secondary endpoints: all-cause mortality, non-fatal myocardial infarction (MI), and any revascularization. Kaplan-Meier survival analysis was conducted to assess the incidence of endpoints across the four groups. Multivariate Cox proportional hazards analysis confirmed the independent impact of SIRI on both the primary and secondary endpoints. The restricted cubic spline (RCS) was used to assess the nonlinear association between the SIRI and endpoints. Subgroup analysis was performed to confirm the implications of SIRI on MACE in the different subgroups.

Results

The main outcome was much more common in patients with a higher SIRI. The Kaplan-Meier curve was another tool that was used to confirm the favorable connection between SIRI and MACE. SIRI was individually connected to a higher chance of the main outcome according to multivariate analyses, whether or not SIRI was a constant [SIRI, per one-unit increase, hazard ratio (HR) 1.04, 95% confidence interval (95% CI) 1.01-1.07, p = 0.003] or categorical variable [quartile of SIRI, the HR (95% CI) values for quartile 4 were 1.88 (1.47-2.42), p <0.001, with quartile 1 as a reference]. RCS demonstrated that the hazard of the primary and secondary endpoints generally increased as SIRI increased. A non-linear association of SIRI with the risk of MACE and any revascularization (Non-linear P <0.001) was observed. Subgroup analysis confirmed the increased risk of MACE with elevated SIRI in New York Heart Association (NYHA) class III-IV (P for interaction = 0.005).

Conclusion

In patients with IHF undergoing PCI, increased SIRI was a risk factor for MACE independent of other factors. SIRI may represent a novel, promising, and low-grade inflammatory marker for the prognosis of patients with IHF undergoing PCI.

The neutrophil-to-lymphocyte ratio is associated with coronary heart disease risk in adults: A population-based study

The purpose of this study was to look at any connections that could exist between neutrophil-lymphocyte ratio and coronary heart disease. We performed a cross-sectional research of 13732 participants in the National Health and Nutrition Examination Survey who were 40 or older. Multivariate logistic regression models investigated the relationship between neutrophil-to-lymphocyte ratio levels and coronary heart disease risk. To investigate potential nonlinear connections, smoothed curve fitting was used. When a nonlinear relationship was discovered, the inflexion point was determined using a recursive method. After controlling for relevant confounders, neutrophil-to-lymphocyte ratio was independently linked to a higher risk of coronary heart disease (OR = 1.74, 95% CI:1.30-2.33, P = 0.0002). Subgroup analyses showed statistically significant positive associations between neutrophil-to-lymphocyte ratio and coronary heart disease risk in women (OR = 1.25, 95% CI:1.09-1.43), participants 60 years of age and older (OR = 1.09, 95% CI:1.00-1.19), smoking status for every day or not at all (OR = 1.23, 95% CI:1.00-1.52; OR = 1.09, 95% CI:1.00-1.19), alcohol use status for moderate alcohol use (OR = 1.11, 95% CI:1.00-1.22), body mass index >30 kg/m2 (OR = 1.42, 95% CI:1.10-1.82), hypertensive (OR = 1.11, 95% CI:1.02-1.22), and individuals without diabetes (OR = 1.17, 95% CI:1.06-1.31). A positive correlation between neutrophil-to-lymphocyte ratio levels and coronary heart disease risk was also seen by smoothing curve fitting, with an inflexion point of 1.08 that was statistically significant (P<0.05). Our research shows elevated neutrophil-to-lymphocyte ratio levels are linked to a higher risk of coronary heart disease.

Prognostic value of systemic immune-inflammation index in CAD patients: Systematic review and meta-analyses

BACKGROUND

Systemic immune-inflammation index (SII) is a novel inflammatory marker based on neutrophils, platelets and lymphocytes counts, which has potential prognostic value among coronary artery disease (CAD) patients as described by some observational studies. We aimed to provide higher-certainty evidence to verify the association of SII with poor outcomes of CAD patients.

METHODS

PubMed, Web of Science, Embase, Ovid and Scopus were searched to find relevant literature exploring the prognostic value of SII among CAD patients. Hazard ratios (HRs) with 95% confidence intervals (CIs) extracted from the literature included were pooled with the fixed-effect or random-effect model. Sensitivity analyses and subgroup analyses were conducted to detect the source of heterogeneity and evaluate the stability of results.

RESULTS

A total of nine studies with 15,832 participants were included. The quantitative synthesis including eight studies with 15,657 participants showed that the high SII was related to the major adverse cardiovascular event in CAD patients (HR with 95% CI: 2.36 [1.67, 3.33]). After eliminating heterogeneity and adjusting for publication bias, the above result was still robust (HR with 95% CI: 1.67 [1.32, 2.12]). Additionally, we also demonstrated the prognostic values of SII for all-cause death, cardiovascular death, myocardial infarction and stroke.

CONCLUSION

Higher SII has prognostic values for adverse outcomes in CAD patients.

A Predictive Model of New-Onset Atrial Fibrillation After Percutaneous Coronary Intervention in Acute Myocardial Infarction Based on the Lymphocyte to C-Reactive Protein Ratio

Purpose

Lymphocyte to C-reactive protein ratio (LCR) is a recognized systemic inflammatory marker and novel prognostic indicator for several cancers. This study investigated the relationship between preoperative LCR and new-onset atrial fibrillation (NOAF) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI).

Patients and Methods

Patients with AMI (n=662) with no history of atrial fibrillation (AF) were enrolled and classified into NOAF and non-NOAF groups based on the occurrence of postoperative NOAF during hospitalization. Logistic regression models were used to analyze NOAF risk factors and to assess the association between preoperative LCR and NOAF incidence. We constructed a new nomogram from the selected NOAF risk factors, and tested its predictive performance, degree of calibration, and clinical utility using receiver operating characteristic and calibration curves, decision curve analysis, and clinical impact curves.

Results

Overall, 84 (12.7%) patients developed NOAF during hospitalization. The LCR was significantly lower in the NOAF group. Preoperative LCR accurately predicted NOAF after AMI and was correlated with increased NOAF risk. Age, body mass index, diabetes, serum albumin levels, uric acid levels, left atrium (LA) diameter, left ventricular ejection fraction, left circumflex artery stenosis > 50%, and Killip class II status were independent predictors of NOAF after AMI. In addition, a new nomogram combined with LCR was constructed to stratify the risk of NOAF in patients with AMI. The performance of the new nomogram was satisfactory, as shown by the receiver operating characteristic curve, calibration curve, decision curve analysis and clinical impact curve.

Conclusion

Preoperative LCR was an independent predictor of NOAF in patients with AMI after PCI. The novel nomogram combined with LCR could rapidly and individually identify and treat patients at a high risk of NOAF.

System inflammation response index: a novel inflammatory indicator to predict all-cause and cardiovascular disease mortality in the obese population

AIM

This study aims to investigate the relationship between two novel inflammatory markers, namely, the Systemic Inflammatory Response Index (SIRI) and the Systemic Immune Inflammatory Index (SII), as well as the all-cause and cardiovascular disease (CVD) mortality in the obese population.

MATERIALS AND METHODS

We conducted a prospective cohort study based on the data of 13,026 obese adults (age ≥ 18 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 and followed until December 2019. SIRI was calculated by the formula: (neutrophil count × monocyte count) / lymphocyte count, while that of SII was: (platelet count × neutrophil count)/lymphocyte count. The association of SIRI and SII with all-cause and CVD mortality was evaluated using Cox regression. In addition, the nomogram was performed to predict 10-year survival probability.

RESULTS

During a median follow-up of 137 months, 1959 and 553 all-cause and CVD deaths were recorded, respectively. Spearman correlation analysis indicated that SIRI and SII were unrelated to almost all baseline characteristics (r < 0.15). Multivariate Cox regression models displayed that each standard deviation (SD) increase in SIRI was associated with a 16% (HR 1.16; 95% CI 1.09-1.24) and 22% (HR 1.22; 95% CI 1.10-1.36) increase in the risk of all-cause and CVD mortality, respectively. Likewise, every SD increase in SII was correlated with a 9% (HR 1.09; 95% CI 1.02-1.16) and 14% (HR 1.14; 95% CI 1.04-1.26) increase in the risk of all-cause and CVD mortality, respectively. The predictive value of SIRI for all-cause and CVD mortality (AUC = 0.601 and 0.624) exceeded that of SII (AUC = 0.528 and 0.539). Moreover, the nomogram displayed a substantial predictive value for 10-year survival (AUC = 0.847) with sensitivity and specificity exceeding 75%.

CONCLUSIONS

In the obese population, SIRI and SII are independent risk factors for all-cause and CVD mortality. Notably, the predictive ability of SIRI for both all-cause and CVD mortality significantly outperforms that of SII, suggesting that SIRI is a more valuable marker of inflammation.

Prognostic impact of monocyte-to-lymphocyte ratio in coronary heart disease: a systematic review and meta-analysis

OBJECTIVE

Inflammatory biomarkers are novel tools to assess the prognosis of different cardiovascular diseases. We evaluated the impact of the monocyte-to-lymphocyte ratio (MLR) on clinical outcomes in patients with coronary heart disease (CHD).

METHODS

We systematically screened English-language articles in PubMed, Scopus, and Web of Science to 31 August 2022. Relevant articles reporting the MLR and its association with clinical outcomes (major adverse cardiovascular events (MACE), coronary artery disease (CAD) severity, mortality, cardiac rupture, subclinical CAD, acute coronary syndrome (ACS) prediction, thin-cap fibroatheroma, no-reflow phenomenon, MLR-related differences in percutaneous coronary intervention, heart failure hospitalization, and depression) in patients with CHD were collected for further analysis.

RESULTS

Nineteen articles were selected. The mean MLR was 0.34. A higher MLR was significantly associated with an increased risk of MACE among patients with CHD. The MLR was an independent predictor of MACE in patients with ACS. No significant association was found for CAD severity. A complementary analysis was not performed because of few studies focusing on the other predefined endpoints.

CONCLUSIONS

The MLR is a simple and widely available tool to predict MACE in patients with CHD. This biomarker can be utilized in emergency settings to prioritize high-risk patients and optimize therapeutic interventions.

A high platelet-to-lymphocyte ratio predicts all-cause mortality and cardiovascular mortality in maintenance hemodialysis patients

PURPOSE

The aim of this study was to further assess whether the platelet-to-lymphocyte ratio (PLR) is independently associated with all-cause mortality and cardiovascular mortality in maintenance hemodialysis (MHD) patients.

METHODS

From January 1, 2014, to December 31, 2014, patients undergoing regular hemodialysis in the Blood Purification Center of the General Hospital of Northern Theatre Command were retrospectively selected. A total of 303 MHD patients were enrolled in accordance with the inclusion and exclusion criteria. For each patient, the endpoint of follow-up was either death or December 31, 2021. The primary endpoints were all-cause and cardiovascular death. A receiver operating characteristic (ROC) curve was drawn to detect the predictive ability of PLR, and the optimal critical value of PLR was determined to be 107.57. Kaplan-Meier curves and Cox proportional analysis were used to assess the prognostic value of PLR. We used the same method to evaluate the correlation between the neutrophil-to-lymphocyte ratio (NLR) and the prognosis of MHD patients.

RESULTS

At the end of follow-up, 128 MHD patients had progressed to all-cause death, and 73 MHD patients had progressed to cardiovascular death. In multivariate Cox regression, both the high PLR group and the high NLR group were independently associated with all-cause mortality (HR 2.608, 95% CI 1.579-4.306, p < .001 vs. HR 1.634, 95% CI 1.023-2.610, p = .04). Only high PLR expression was associated with cardiovascular mortality (HR 3.379, 95% CI 1.646-6.936, p = .001).

CONCLUSIONS

High PLR levels can independently predict all-cause and cardiovascular mortality in MHD patients.

Association of Systemic Inflammatory Response Index and Pan-Immune-Inflammation-Value with Long-Term Adverse Cardiovascular Events in ST-Segment Elevation Myocardial Infarction Patients After Primary Percutaneous Coronary Intervention

Aim

Reducing the high morbidity and mortality of ST-segment elevation myocardial infarction (STEMI) and improving patient prognosis remains a major global challenge. This study aimed to explore whether dynamic fluctuations in biomarkers are valuable predictors of prognosis in patients with STEMI.

Methods

This study included 216 patients with STEMI. Blood routine tests were performed on admission, 12 h after percutaneous coronary intervention (PCI), and at discharge. Systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), and pan-immune-inflammation-value (PIV) serum immune-inflammatory markers were calculated. The Cox proportional hazard model was used to assess the factors independently associated with the prognosis of STEMI. The optimal cutoff values for the inflammatory markers were calculated.

Results

Eighty-five (39.35%) of the 216 patients had major adverse cardiovascular events (MACEs) during the 1-year follow-up. Most were male (81.18%) with a median age of 64 years (interquartile, 55-69.5). Killip class ≥ II on admission (hazard ratio [HR], 1.859; 95% CI, 1.169-2.957; P = 0.009), total stent length (HR, 1.016; 95% CI, 1.003-1.029; P = 0.019), values of SIRI at 12 h after PCI (HR, 1.079; 95% CI, 1.050-1.108; P < 0.001), and the Gensini score (HR, 1.014; 95% CI, 1.007-1.022; P < 0.001) were independently associated with an increased risk of MACEs. Compared with SII, SIRI and PIV calculated at various time points and dynamically fluctuating changes, SIRI (cutoff value, 4.15; 95% CI, 0.701-0.819; P < 0.001) and PIV (cutoff value, 622.71; 95% CI, 0.674-0.796; P < 0.001) at 12 h after PCI showed the best efficacy for the prognosis of STEMI.

Conclusion

Our study provides relevant evidence to the notion that SIRI or PIV at 12 h after PCI may be more accurate and economical predictors of long-term adverse prognosis in patients with STEMI.

Identification of 5 hub genes for diagnosis of coronary artery disease

Background

Coronary artery disease (CAD) is a main cause leading to increasing mortality of cardiovascular disease (CVD) worldwide. We aimed to discover marker genes and develop a diagnostic model for CAD.

Methods

CAD-related target genes were searched from DisGeNET. Count expression data and clinical information were screened from the GSE202626 dataset. edgeR package identified differentially expressed genes (DEGs). Using online STRING tool and Cytoscape, protein-protein reactions (PPI) were predicted. WebGestaltR package was employed to functional enrichment analysis. We used Metascape to conduct module-based network analysis. VarElect algorithm provided genes-phenotype correlation analysis. Immune infiltration was assessed by ESTIMATE package and ssGSEA analysis. mRNAsi was determined by one class logistic regression (OCLR). A diagnostic model was constructed by SVM algorithm.

Results

162 target genes were screened by intersection 1,714 DEGs and 1,708 CAD related target genes. 137 target genes of the 162 target genes were obtained using PPI analysis, in which those targets were enriched in inflammatory cytokine pathways, such as chemokine signaling pathway, and IL-17 signaling pathway. From the above 137 target genes, four functional modules (MCODE1-4) were extracted. From the 162 potential targets, CAD phenotype were directly and indirectly associated with 161 genes and 22 genes, respectively. Finally, 5 hub genes (CCL2, PTGS2, NLRP3, VEGFA, LTA) were screened by intersections with the top 20, directly and indirectly, and genes in MCODE1. PTGS2, NLRP3 and VEGFA were positively, while LTA was negatively correlated with immune cells scores. PTGS2, NLRP3 and VEGFA were negatively, while LTA was positively correlated with mRNAsi. A diagnostic model was successfully established, evidenced by 92.59% sensitivity and AUC was 0.9230 in the GSE202625 dataset and 94.11% sensitivity and AUC was 0.9706 in GSE120774 dataset.

Conclusion

In this work, we identified 5 hub genes, which may be associated with CAD development.

Evaluating the baseline hemoglobin, albumin, lymphocyte, and platelet (HALP) score in the United States adult population and comorbidities: an analysis of the NHANES

Introduction

As a composite immunonutritional biomarker, the Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score has shown promise in assessing a patient's overall health status by integrating several routinely collected laboratory indicators. This biomarker has been examined in many different populations of patients and disease states (i.e., cancer), but an integrated, universal rubric using standardized thresholds has not thus far been developed. Pre-existing large population-based databases represent an ideal source to examine the distribution of HALP and the influence of diverse health statuses on this score.

Methods

We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) between 2017-2020, evaluating 8,245 participants across numerous demographic, socioeconomic, and health-related variables. Univariate and multivariate linear regression analyses assessed the associations between HALP scores and these factors.

Results

Our findings revealed significant associations between HALP scores and various demographic, socioeconomic, and health conditions. The median HALP score among the representative population was 49.0, with varying median scores across different groups and normal reference ranges for males and females. Multivariate regression analysis showed that anemia treatment, age over 65 years, weak/failing kidneys, and cancer were independent risk factors associated with lower HALP scores. Male participants demonstrated higher HALP scores than female participants, and age was inversely related to HALP. Moreover, HALP scores were negatively associated with the number of comorbidities.

Conclusion/discussion

This study set out to explore the HALP score from a population-based perspective, uncovering notable associations that offer vital insights into the score's clinical relevance and future applications. By determining a median HALP score of 49.0 and normal reference ranges within our diverse, representative sample, we establish a robust foundation for researchers to refine optimal HALP applications and thresholds. Considering the growing focus on personalized medicine, HALP holds promise as a prognostic tool, enabling clinicians to comprehend their patients' immunonutritional status better and deliver customized care.

Relationship between Serial Serum Neutrophil-Lymphocyte Ratio, Cardiovascular Mortality, and All-Cause Mortality in Chinese Peritoneal Dialysis Patients

INTRODUCTION

It is believed that the excessive cardiovascular (CV) burden of patients on peritoneal dialysis (PD) is closely associated with chronic inflammation. Neutrophil-lymphocyte ratio (NLR) is an inflammatory marker that was shown to correlate with CV outcomes. However, little is known about the significance of serial monitoring of serum NLR. We aimed to determine the prognostic value of serial NLR on all-cause mortality and CV mortality in PD patients.

METHODS

Serial measurement of NLR was obtained from 225 incident PD patients in a single center, with each measurement 1 year apart. Patients were divided into two groups ("high" vs. "low") by the median value of NLR. The primary and secondary outcome measure was all-cause and CV mortality, respectively.

RESULTS

After a median of follow-up for 43.9 months, patients with lower baseline NLR demonstrated a higher survival rate (p = 0.01). Patients with persistently high NLR values on serial measurement had the lowest survival rate (p = 0.03). Multivariate Cox regression showed that this group of patients had significantly higher all-cause mortality (HR: 1.74, 95% CI: 1.09-2.79, p = 0.02). However, the NLR failed to demonstrate a statistically significant relationship with CV mortality.

CONCLUSIONS

While baseline NLR was an independent predictor of all-cause mortality in PD patients, persistent elevation in NLR appeared to further amplify the risk. Regular monitoring of serial serum NLR may enable early identification of patients who are at risk of adverse outcome.

Blood Count-Derived Inflammatory Markers and Acute Complications of Ischemic Heart Disease in Elderly Women

Coronary artery disease (CAD) in women occurs later than in men. Underlying atherosclerosis, a chronic process of lipoprotein deposition in arterial walls with a prominent inflammatory component, is influenced by several risk factors. In women, commonly used inflammatory markers are generally found to be related to the occurrence of acute coronary syndrome (ACS), as well as the development of other diseases that influence CAD. New inflammatory markers derived from total blood count-systemic inflammatory response index (SII), systemic inflammatory reaction index (SIRI), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), and neutrophil-lymphocyte ratio (NLR)-were analyzed in the group of 244 elderly, postmenopausal women with the diagnosis of ACS or stable CAD. SII, SIRI, MLR, and NLR were significantly higher in women with ACS compared to those with stable CAD (p < 0.05 for all)-the highest values were observed in women with NSTEMI. MLR from new inflammatory markers, HDL, and history of MI turned out to be significant factors associated with ACS. These results suggest that MLR as representative of blood count-derived inflammatory markers may be considered as additional CVD risk factors in women with suspected ACS.

Association of Controlling Nutritional Status Score With Adverse Outcomes in Patients With Coronary Artery Disease: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis sought to examine the association between the controlling nutritional status (CONUT) score and adverse outcomes in patients with coronary artery disease (CAD). PubMed and Embase databases were searched for eligible studies from their inceptions to December 12, 2021 to identify studies investigating the association of the CONUT score with major adverse cardiovascular events (MACEs) and all-cause mortality in CAD patients. Twelve studies (36,198 CAD) patients satisfied the criteria. Comparison of the high with low CONUT score, the pooled multivariate adjusted risk ratios (RR) was 1.78 (95% confidence intervals [CI] 1.36-2.32) for MACEs and 1.45 (95% CI 1.27-1.66) for all-cause mortality, respectively. When compared with patients with normal nutrition, malnourished (defined by the CONUT score ≥2) patients conferred a 52% increased risk of MACEs. Additionally, per point CONUT score increment was associated with 15% and 11% higher risk of MACEs and all-cause mortality, respectively. Higher CONUT score independently predicts the MACEs all-cause mortality in CAD patients. Estimation of nutritional status using the CONUT score could be helpful for improving risk classification of CAD.

Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study

Objective

Our research was designed to investigate the relationship between systemic immune inflammation (SII) index and all-cause, cardiovascular disease (CVD), and cancer-related mortality in patients with CVD.

Methods

We used the National Health and Nutrition Examination Survey data from 1999 to 2018 to conduct this study. The association between SII index and all-cause, CVD, and cancer-related mortality in patients with CVD was examined using restricted cubic splines (RCS), Cox proportional hazard models, and subgroup analysis, respectively. CVD was defined as a composite of five outcomes of CVD, including coronary heart disease (CHD), congestive heart failure (CHF), angina pectoris, myocardial infarction, and stroke. Additionally, the link between SII index and all-cause, CVD, and cancer-related mortality in patients with a composite of five outcomes of CVD was also explored.

Results

In total, 5329 participants were included. The RCS also showed a U-curve correlation between SII index and the all-cause, CVD, and cancer-related mortality in patients with CVD. As compared with the individuals with lowest quartile of SII index, hazard ratios with 95% confidence intervals for all-cause, CVD, and cancer-related mortality across the quartiles were (1.202 (0.981, 1.474), 1.184 (0.967, 1.450), and 1.365 (1.115, 1.672)), (1.116 (0.815, 1.527), 1.017 (0.740, 1.398), and 1.220 (0.891, 1.670)), and (1.202 (0.981, 1.474), 1.184 (0.967, 1.450), and 1.365 (1.115, 1.672)), respectively, in the full-adjusted model. The SII index also had a U-shaped relationship with all-cause, CVD, and cancer-related mortality in patients with CHD, angina, and myocardial infarction. Additionally, the U-shaped relationship between SII index and all-cause, and cancer-related mortality also exists in CHF, and stroke. However, there was a positive linear correlation between SII index and CVD mortality in patients with CHF, and stroke.

Conclusion

In the United States general population, the correlation between SII index and all-cause, CVD, and cancer-related mortality showed a U-shaped curve in patients with CVD.

Association of Novel Hematological Indices with Severity of Coronary Artery Disease using SYNTAX Score in Patients with Acute Coronary Syndrome

INTRODUCTION

Recent evidence suggests that systemic inflammation not only plays an important role in the pathogenesis of Acute Coronary Syndrome but also correlates with disease severity. Monocyte-to-high-density lipoprotein cholesterol ratio (MHR), Neutrophil-Lymphocyte Ratio (NLR), and Monocyte-Lymphocyte Ratio (MLR) are novel systemic inflammation markers used for predicting the burden of coronary artery disease (CAD) based on SYNTAX Score. This single-center, cross-sectional, observational study compared the association of these novel hematological indices with CAD severity using the SYNTAX Score in ACS patients and aimed to determine the best predictor of the severity of CAD.

METHODS

A total of 403 consecutive patients with ACS who underwent coronary angiography were enrolled. On the basis of the SYNTAX Score, patients were divided into three groups: Low: <22, Moderate 22 - 32 and High ≥ 32. MHR, MLR, and NLR were calculated and correlated with SYNTAX Score.

RESULTS

All three indices: MHR (r=0.511; p <0.001), MLR (r=0.373; p <0.001), and NLR (r=0.292; p =0.001) showed significant correlation with SYNTAX Score. The MHR ROC was significantly higher than that of MLR (difference between area: 0.158; 95% CI: 0.079-0.259) and NLR (difference between area: 0.279; 95% CI: 0.172-0.419) for the SYNTAX Score. Analysis showed a strong correlation between these indices with SYNTAX Score >22 compared to low scores <22 and that these also related to the LAD as an infarct artery. Multiple regression analysis showed that diabetes mellitus, eGFR, Infarct-related artery left anterior descending (IRALAD), MHR, MLR, and NLR were predictors of the severity of CAD in ACS patients based on SYNTAX Score.

CONCLUSION

In ACS patients MHR, MLR, and NLR showed significant correlation with SYNTAX score >22 which may be indicative of severity of disease. MHR is a better predictor of the severity of CAD than MLR and NLR in ACS patients.

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.

Leukocyte subtypes, gelatinases, and their tissue inhibitors in a group of subjects with asymptomatic carotid atherosclerosis

In a cohort of subjects with asymptomatic carotid atherosclerosis (ACA), we have evaluated the neutrophil and lymphocyte count and their ratio (NLR), the gelatinases (MMP-2 and MMP-9) and their tissue inhibitors (TIMP-1 and TIMP-2). At baseline, no difference was observed between ACA subjects and subject control group regarding neutrophil and lymphocyte count while was evident in ACA subjects a significant increase in MMP-2, MMP-9 and TIMP-2 associated to a significant decrease in TIMP-1. Dividing the ACA according to the number of cardiovascular risk factors (CRFs) we have observed an increase in lymphocyte count in the subgroup with 3-5 CRFs. Evaluating the leukocyte subtypes according to all the surrogate markers of insulin resistance has been noted, in the subgroups that exceed the medians of these markers, a significant increase in neutrophil and lymphocyte count without any variation of the NLR. Effecting the same evaluation for the MMP/TIMP pattern we observed, instead, that the same subgroups tend to show a decrease in MMP-2 and an increase in MMP-9. No difference instead for TIMP-1 and TIMP-2. The abnormality of the MMP/TIMP pattern, bearing in mind the cardiometabolic clustering present in this cohort of ACA subjects, would induce to use drugs able not only to cure the cardiometabolic risk factors but also to influence the MMP/TIMP profile.

Association of the systemic immune-inflammation index with all-cause mortality in patients with arteriosclerotic cardiovascular disease

Objective

Systemic immune-inflammation index (SII), derived from blood cell counts of circulating platelets, neutrophils, and lymphocytes, has been identified as a novel inflammatory and prognostic marker. However, the clinical value of SII in patients with arteriosclerotic cardiovascular disease (ASCVD) had not been further explored. Thus, this study is designed to explore the associations of SII with mortality in ASCVD individuals.

Methods

All individuals with ASCVD aged ≥20 years were included from the National Health and Nutritional Examination Surveys (NHANES) 2005–2014 and followed for survival until 31 December 2019. Multivariable Cox analysis investigated the associations between SII, evaluated as a continuous variable with splines, as categorical ones (quartiles), and the all-cause death. To demonstrate the association between SII and mortality, subgroup analysis, restricted cubic spline along with piecewise linear regression were also conducted.

Results

A total of 2,595 participants (57.8% men) were included. During a median of 7.7 years of follow-up, 1,122 deaths due to all-cause were recorded. After adjusting for multiple confounders, when compared with the patients in quartile 1 (SII ln transform), those in quartile 4 had a 46% increased risk for all-cause death [hazard ratio (HR) = 1.46, 95% confidence interval (CI) = 1.22–1.75]. As a continuous variable, each unit of raised ln-SII was associated with a 24% increased risk of all-cause death (HR = 1.24, 95% CI = 1.10–1.38). In the restricted cubic spline regression model, the relationship between ln-SII and all-cause death was non-linear. The cutoff value of ln-SII for mortality was 6.57 and those with a higher than the threshold point had a 1.25-fold risk of mortality. No significant difference was noted below the threshold points.

Conclusion

An association was detected between the baseline ln-SII and all-cause mortality in a United States ASCVD population. Increased SII is associated with poor survival in individuals with ASCVD.

Investigation of the Associations of Novel Inflammatory Biomarkers-Systemic Inflammatory Index (SII) and Systemic Inflammatory Response Index (SIRI)-With the Severity of Coronary Artery Disease and Acute Coronary Syndrome Occurrence

Atherosclerosis, the underlying cause of coronary artery disease (CAD), has a significant inflammatory component. White blood cell count is an affordable and accessible way to assess the systemic immune response, as it comprises many subgroups with distinct and complex functions. Considering their multidirectional effect on atherosclerosis, new biomarkers integrating various leukocyte subgroups, the Systemic Inflammatory Index (SII) and the Systemic Inflammatory Response Index (SIRI), were recently devised to describe the balance between inflammation and immune reaction. This research aimed to evaluate the relationship of the intensity of inflammation measured by these biomarkers with the severity of CAD assessed with coronary angiography and with the diagnosis of acute coronary syndrome (ACS) or stable CAD in 699 patients. SIRI, but not SII, was associated with the diagnosis, having the highest values for patients with ACS (STEMI), significantly higher than in patients with stable CAD (p < 0.01). The highest SII and SIRI values were observed in patients with three-vessel CAD. SII and SIRI require further in-depth and well-designed research to evaluate their potential in a clinical setting.

Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis

Background

As defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and major adverse cardiovascular events (MACE) in adult patients with coronary artery disease (CAD).

Methods

Observational studies conducted to evaluate the association of CONUT score with adverse clinical outcomes in patients with CAD were included. We searched MEDLINE, Embase, Scopus, Cochrane library, Google scholar, medRxiv pre-print as well as Science Direct search engine for studies published from the inception of each database until March 21, 2022. Studies reporting the utility of CONUT score in prediction of all-cause mortality and MACE among patients with CAD were eligible. Predictive potential of the CONUT score were summarized by pooling the multivariable adjusted hazard ratio (aHR) with 95% CI for the malnourished vs. normal nutritional status or per point CONUT score increase.

Results

Of 2,547 screened citation, nine observational studies involving 81,257 patients with CAD were analyzed. Malnutrition defined by the CONUT score was associated with significantly increased risk of all-cause mortality when compared with the normal nutritional state (aHR for mild, moderate, and severe malnutrition, respectively: (1.21 [95% CI: 1.15–1.27], I² = 0%), (1.53 [95% CI: 1.26–1.84], I² = 84%), and (2.24 [95% CI: 1.57–3.19], I² = 77%). Similarly, moderate (aHR 1.71 [95% CI: 1.44–2.03], I² = 0%) and severe (aHR 2.66 [95% CI: 1.82–3.89], I² = 0%) malnutrition was associated with a significantly higher risk of MACE compared with the normal nutritional state. Additionally, per point increase in the CONUT score was correlated with 20 and 23% additional risk of all-cause mortality and MACE, respectively.

Conclusion

As defined by the CONUT score, malnutrition is an independent predictor of all-cause mortality and MACE in CAD patients. Nutritional assessment with CONUT score could allow clinicians to identify patients with CAD at high risk for adverse clinical outcomes.

Leukocyte and its Subtypes as Predictors of Short-Term Outcome in Cardiogenic Shock Complicating Acute Myocardial Infarction: A Cohort Study

BACKGROUND

Patients with cardiogenic shock (CS) complicating acute myocardial infarction (AMI) are at high risk of death. Inflammation is involved in both CS and AMI, and our present study aimed to investigate the changes of leukocyte and its subtypes as well as their prognostic value in patients with CS complicating AMI.

METHODS

Data of 217 consecutive patients with CS complicating AMI were analyzed. The primary endpoint was 30-day all-cause mortality. The secondary endpoint was the composite events of major adverse cardiovascular events (MACE) including 30-day all-cause mortality, ventricular tachycardia/ventricular fibrillation, atrioventricular block, gastrointestinal hemorrhage and nonfatal stroke. The association of leukocyte and its subtypes with the endpoints was analyzed by Cox regression analysis.

RESULTS

Leukocyte and its subtypes including neutrophil, eosinophil, lymphocyte, monocyte and basophil were all statistically significant between survivors and nonsurvivors (all P < 0.05). Among the leukocyte subtypes, eosinophil had the highest predictive value for 30-day all-cause mortality (AUC = 0.799) and the composite of leukocyte and its subtypes improved the predictive power (AUC = 0.834). The 30-day mortality and MACE K-M curves of leukocyte and its subtypes reveal a distinct trend based on the cut-off value determined by Youden Index (all log rank P < 0.001). After multivariable adjustment, high leukocyte (>11.6 × 109/L) (HR 1.815; 95%CI 1.134, 2.903; P = 0.013), low eosinophil (<0.3%) (HR 2.562; 95%CI 1.412, 4.648; P = 0.002) and low basophil (≤0.1%) (HR 1.694; 95%CI 1.106, 2.592; P = 0.015) were independently associated with increased risk of 30-day mortality. Similarly, high leukocyte (>11.6 × 109/L) (HR 1.894; 95%CI 1.285, 2.791; P = 0.001), low eosinophil (<0.3%) (HR 1.729; 95%CI 1.119, 2.670; P = 0.014) and low basophil (≤0.1%) (HR 1.560; 95%CI 1.101, 2.210; P = 0.012) were independently associated with increased risk of 30-day MACE.

CONCLUSIONS

Leukocyte and its subtypes changed significantly in patients with CS complicating AMI. In addition to leukocyte, eosinophil and basophil also served as independent prognostic factors for 30-day outcomes. Moreover, as the composite of leukocyte and its subtypes increased the predictive power, thus leukocyte and its subtypes, especially eosinophil and basophil should be taken into consideration for the current risk stratification model.

Circulating Lymphocyte Trafficking to the Bone Marrow Contributes to Lymphopenia in Myocardial Infarction

Some patients with myocardial infarction (MI) exhibit lymphopenia, a reduction in blood lymphocyte count. Moreover, lymphopenia inversely correlates with patient prognosis. The objective of this study was to elucidate the underlying mechanisms that cause lymphopenia after MI. Multiparameter flow cytometric analysis demonstrated that MI induced profound B and T lymphopenia in a mouse model, peaking at day 1 post-MI. The finding that non-MI control and MI mice exhibited similar apoptotic rate for blood B and T lymphocytes argues against apoptosis being essential for MI-induced lymphopenia. Interestingly, the bone marrow in day 1 post-MI mice contained more B and T cells but showed less B and T cell proliferation, compared to day 0 controls. This suggests that blood lymphocytes may travel to the bone marrow after MI. This was confirmed by adoptive transfer experiments demonstrating that MI caused the loss of transferred lymphocytes in the blood, but the accumulation of transferred lymphocytes in the bone marrow. To elucidate the underlying signaling pathways, β2 adrenergic receptor or sphingoshine-1-phosphate receptor type 1 (S1PR1) was pharmacologically blocked respectively. β2 receptor inhibition had no significant effect on blood lymphocyte count, whereas S1PR1 blockade aggravated lymphopenia in MI mice. Further, we discovered that MI-induced glucocorticoid release triggered lymphopenia. This was supported by the findings that adrenalectomy (ADX) completely prevented mice from MI-induced lymphopenia, and supplementation with corticosterone in adrenalectomized MI mice re-induced lymphopenia. In conclusion, our study demonstrates that MI-associated lymphopenia involves lymphocyte redistribution from peripheral blood to the bone marrow, which is mediated by glucocorticoids.

Could the systemic immune-inflammation index be a predictor to estimate cerebrovascular events in hypertensive patients?

BACKGROUND AND OBJECTIVES

Hypertension is one of the most important risk factors for cardiovascular and cerebrovascular events. Inflammatory processes occupy an important place in the pathogenesis of hypertension. Many studies have studied inflammatory markers responsible for the onset of hypertension and organ damage. In this study, we investigated whether the systemic immune-inflammation index (SII) (platelet × neutrophil/lymphocyte), - one of the new inflammatory markers - can be used to predict cerebrovascular events in hypertensive patients.

METHODS

Ambulatory blood pressure monitoring results between January 2019 and June 2020 of approximately 379 patients followed up with hypertension were retrospectively analyzed. These patients were divided into two groups as with or without a previous cerebrovascular event in the analyzed database. In all patients, complete blood count and biochemistry test results just before the cerebrovascular event were found from the database. SII, atherogenic index, neutrophil-lymphocyte ratio were calculated from the complete blood count. Forty-nine patients with stroke (group 1: 12.9%; mean age: 64.3 ± 14.6) and 330 patients without stroke (group 2: 87.1%; mean age: 50.8 ± 14.4).

RESULTS

Ambulatory blood pressure measurements were lower in group 1. Lipid parameters were also lower in this group. Receiver operating characteristic curve analysis showed that SII had a sensitivity of 85.7% and specificity of 84.8 % for stroke in individuals who participated in the study when the cutoff value of SII was 633.26 × 103 (P = 0.0001) area under curve (95%); 0.898 (0.856-0.941). In multivariate logistic regression analysis, age and SII were significantly associated with a higher risk of stroke. Age, (hazard ratio:1.067; 95% CI, 1.021-1.115), SII (hazard ratio:1.009; 95% CI, 1.000-1.009), respectively.

CONCLUSIONS

In conclusion, SII is a simple, useful new inflammatory parameter for predicting stroke from hypertension. We found that the high SII levels increase the risk of stroke in hypertensive patients.

Systemic immune-inflammation index predicted the clinical outcome in patients with type-B aortic dissection undergoing thoracic endovascular repair

BACKGROUND

The systemic immune-inflammation index (SII) has been reported to have prognostic ability in various cardiovascular diseases; however, it has not been studied in type-B aortic dissection (TBAD). We aimed to explore the relation of SII with short-term and long-term outcomes in TBAD patients undergoing thoracic endovascular repair (TEVAR).

METHODS

We performed a retrospective analysis of a prospectively maintained database from 2010 to 2017. The patients were divided into two groups (high SII and low SII) as per the optimal cut-off value determined using the receiver operating characteristic curve. Multivariate logistic and Cox regression analyses were performed to analyse the relationship between the SII and the short-term and long-term outcomes.

RESULTS

A total of 805 TBAD patients who underwent TEVAR were enrolled. Twenty-six (3.2%) patients died during hospitalisation. At the end of a median follow-up duration of 48.80 mon, 70 (9.8%) patients had died. The patients were divided into the high-SII group [n = 333 (41.4%%)] and the low-SII group [n = 472 (58.6%)] as per the optimal cut-off value of 1,062. Multivariable logistic analyses showed that a high-SII score was independently associated with major adverse cardiovascular events (MACEs) in-hospital (odd ratio [OR], 1.67; 95% confidence interval [CI], 1.13-2.47; p = .01). In addition, multivariable Cox analyses showed that a high-SII score could be an independent indicator for follow-up adverse events (hazard ratio [HR], 1.70; 95% CI, 1.14-2.56, p = .01).

CONCLUSIONS

Systemic immune-inflammation index is associated with both in-hospital and long-term outcomes in patients with TBAD undergoing TEVAR. Therefore, SII may serve as valuable tool for risk stratification before intervention.

Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis

Background

Inflammation plays a key role in the initiation and progression of atrial fibrillation (AF). Lymphocyte‐to‐monocyte ratio (LMR) has been proved to be a reliable predictor of many inflammation‐associated diseases, but little data are available on the relationship between LMR and AF. We aimed to evaluate the predictive value of LMR in predicting all‐cause mortality among AF patients.

Methods

Data of patients diagnosed with AF were retrieved from the Medical Information Mart for Intensive Care‐III (MIMIC‐III) database. X‐tile analysis was used to calculate the optimal cutoff value for LMR. The Cox regression model was used to assess the association of LMR and 28‐day, 90‐day, and 1‐year mortality. Additionally, a propensity score matching (PSM) method was performed to minimize the impact of potential confounders.

Results

A total of 3567 patients hospitalized with AF were enrolled in this study. The X‐tile software indicated that the optimal cutoff value of LMR was 2.67. A total of 1127 pairs were generated, and all the covariates were well balanced after PSM. The Cox proportional‐hazards model showed that patients with the low LMR (≤2.67) had a higher 1‐year all‐cause mortality than those with the high LMR (>2.67) in the study cohort before PSM (HR = 1.640, 95% CI: 1.437–1.872, p < 0.001) and after PSM (HR = 1.279, 95% CI: 1.094–1.495, p = 0.002). The multivariable Cox regression analysis for 28‐day and 90‐day mortality yielded similar results.

Conclusions

The lower LMR (≤2.67) was associated with a higher risk of 28‐day, 90‐day, and 1‐year all‐cause mortality, which might serve as an independent predictor in AF patients.

The Role of Neutrophil Lymphocyte Ratio as a Major Adverse Cardiac Events Predictor and Its Correlation with Coronary Severity in Acute Coronary Syndrome Patients with Chronic Kidney Disease: A Case Control and Cross-Sectional Study

BACKGROUND: Acute coronary syndrome (ACS) patients with chronic kidney disease (CKD) are known to have a higher risk of mortality compared to ACS patients without CKD. In ACS patients with CKD, chronic inflammation plays an important role in morphological and functional changes in endothelial cells, resulting in atherosclerosis acceleration associated with coronary severity that leads to an increase in major adverse cardiac events (MACE). AIM: Therefore, this study aims to determine the role of neutrophil lymphocyte ratio (NLR) as a predictor of MACE and its correlation with coronary severity in ACS patients with CKD. METHODS: The study was conducted at National General Hospital Cipto Mangunkusumo Jakarta, Indonesia in October to November 2019. We used quota sampling with two designs study. First, a nested case control study was conducted with a total of 59 ACS patients with CKD: 31 subjects who had experienced MACE as a case group and 28 subjects who had not experienced MACE as a control group. Second, a correlative study with a cross-sectional approach was undertaken. RESULTS: There was no significant difference or relationship between NLR and MACE (p > 0.05; OR = 2.16 [95% CI = 0.63–7.51]), also no correlation between NLR and coronary severity degree assessed using the Gensini score (r = 0.10; p = 0.474). CONCLUSION: NLR can not predict MACE in ACS patients with CKD nor be employed interchangeably with the Gensini score in assessing coronary severity in ACS patients with CKD.

Razão Neutrófilo-Linfócito e Aterosclerose da Aorta Abdominal entre Indivíduos Assintomáticos

Fundamento

A razão neutrófilo-linfócito (RNL) tem sido proposta como um marcador inflamatório possivelmente associado a aterosclerose coronariana, embora a maioria dos dados atuais seja restrita à fase aguda. Além disso, a associação entre a RNL e a aterosclerose extracoronariana ainda não está clara.

Objetivo

Analisar a associação entre a RNL e aterosclerose da aorta abdominal (AtAA).

Métodos

Foram incluídos pacientes assintomáticos submetidos a um programa de rastreamento. A AtAA foi avaliada através de ultrassom. Os números absolutos de leucócitos e linfócitos foram utilizados para calcular a RNL. Foi estabelecido um nível de significância estatística de 0,05.

Resultados

De 36.985 indivíduos (idade: 42±10 anos, 72% homens), foi identificada a presença de AtAA em 7%. Aqueles com AtAA eram mais velhos e tinham maior propensão a serem homens e diabéticos. A presença de AtAA foi associada a RNL aumentada (odds ratio [OR] 1,17; intervalo de confiança de 95% [IC95%] 1,13-1,21). No entanto, a associação deixou de ser significativa quando a análise foi ajustada para os fatores de risco (OR 1,02; IC95% 0,97-1,06), principalmente devido à inclusão da idade no modelo. Quando os neutrófilos e linfócitos foram analisados separadamente, a associação negativa entre os linfócitos e a RNL foi invertida com a inclusão da idade, o que sugere um forte efeito confundidor da idade na relação entre linfócitos e aterosclerose. Por fim, a associação entre os neutrófilos e a AtAA deixou de ser significativa após o ajuste adicional para os fatores de risco tradicionais, mas não apenas para a idade.

Conclusão

Embora a RNL tenha se associado a AtAA, foi principalmente devido ao efeito confundidor da idade. No geral, os resultados sugerem um papel limitado da contagem de leucócitos como biomarcador de AtAA.

Platelet-lymphocyte ratio as a new predictor of in-hospital mortality in cardiac intensive care unit patients

It has been discovered that both inflammation and platelet aggregation could cause crucial effect on the occurrence and development of cardiovascular diseases. As a combination of platelet and lymphocyte, platelet-lymphocyte ratio (PLR) was proved to be correlated with the severity as well as prognosis of cardiovascular diseases. Exploring the relationship between PLR and in-hospital mortality in cardiac intensive care unit (CICU) patients was the purpose of this study. PLR was calculated by dividing platelet count by lymphocyte count. All patients were grouped by PLR quartiles and the primary outcome was in-hospital mortality. The independent effect of PLR was determined by binary logistic regression analysis. The curve in line with overall trend was drawn by local weighted regression (Lowess). Subgroup analysis was used to determine the relationship between PLR and in-hospital mortality in different subgroups. We included 5577 CICU patients. As PLR quartiles increased, in-hospital mortality increased significantly (Quartile 4 vs. Quartile 1: 13.9 vs. 8.3, P < 0.001). After adjusting for confounding variables, PLR was proved to be independently associated with increased risk of in-hospital mortality (Quartile 4 vs. Quartile 1: OR 95% CI 1.55, 1.08–2.21, P = 0.016, P for trend < 0.001). The Lowess curves showed a positive relationship between PLR and in-hospital mortality. The subgroup analysis revealed that patients with low Acute Physiology and Chronic Health Evaluation IV (APACHE IV) or with less comorbidities had higher risk of mortality for PLR. Further, PLR quartiles had positive relation with length of CICU stay (Quartile 4 vs. Quartile 1: 2.7, 1.6–5.2 vs. 2.1, 1.3–3.9, P < 0.001), and the length of hospital stay (Quartile 4 vs. Quartile 1: 7.9, 4.6–13.1 vs. 5.8, 3.3–9.8, P < 0.001). PLR was independently associated with in-hospital mortality in CICU patients.

Differential systemic inflammatory responses after TAVI: The role of self versus balloon expandable devices

Objective

Transcatheter aortic valve implantation (TAVI) provokes early injury response, represented in part by dynamic changes in the inflammatory markers. The association of self-expanding valves (SEVs) and balloon-expandable valves (BEVs) with the consequent inflammatory response remains uncertain.

Materials and methods

Patients with severe symptomatic aortic stenosis who underwent transfemoral TAVI: SEVs or BEVs, from January 2010 to December 2019 were enrolled. Whole white blood cells (WBC) and subpopulation dynamics as well the neutrophil to lymphocyte ratio (NLR) were evaluated.

Results

Three-hundred seventy consecutive patients (mean age 81.75 ± 6.8 years, 199 women’s) were enrolled. In the entire population, significant kinetic changes in the WBC response (p <0.0001) between admission and first 24 hours post procedure, with a significant increase in total WBC (7.46 ± 2.26 to 10.08 ± 3.55) and absolute neutrophil count (4.97 ± 2.06 to 8.19 ± 3.43), NL ratio (3.72 ± 2.8 to 9.76 ± 7.29), and a meaningful decrease in absolute lymphocytes count (1.67 ± 1.1 to 1.1 ± 0.76). When compared between the types of valves, SEVs were associated with a more pronounced inflammatory response than BEVs, with total WBC (10.44 ± 3.86 vs. 9.45 ± 3.19) neutrophils (8.56 ± 3.75 vs. 7.55 ± 3.06) with p 0.016 and 0.012 respectively.

Conclusion

This is the first description of a differential inflammatory response between the two leading delivery systems. SEV appears to trigger a more robust inflammatory response as compared to BEV. Clinical studies are warranted to assess the long term effect of our findings.

Relationship Between Immunoinflammation and Coronary Physiology Evaluated by Quantitative Flow Ratio in Patients With Coronary Artery Disease

Background: The association between coronary physiology and immunoinflammation has not been investigated. We performed a retrospective study using quantitative flow ratio (QFR) to evaluate the interaction between immunoinflammatory biomarkers and coronary physiology.

Methods: A total of 172 patients with CAD who underwent coronary arteriography (CAG) and QFR were continuously enrolled from May 2020 to February 2021. As a quantitative indicator of coronary physiology, QFR can reflect the functional severity of coronary artery stenosis. The target vessel measured by QFR was defined as that with the most severe lesions. Significant coronary anatomical stenosis was defined as 70% stenosis in the target vessel.

Results: Compared with the QFR > 0.8 group, interleukin (IL)-6, IL-10, tumor necrosis factor (TNF)-α, and interferon (IFN)-γ were increased and CD3⁺ and CD4⁺ T lymphocyte counts were decreased in the QFR ≤ 0.8 group. In addition, patients with DS ≤ 70% had higher IL-6, IL-10, and TNF-α levels and decreased CD3⁺ and CD4⁺ T lymphocyte counts than those with DS > 70%. Logistic regression analysis indicated IL-6 to be an independent predictor of significant coronary functional and anatomic stenosis (odds ratio, 1.125; 95% CI, 1.059–1.196; P < 0.001). Receiver operating characteristic (ROC) analyses showed that IL-6 > 6.36 was predictive of QFR ≤ 0.8 of the target vessel. The combination of IL-6, IL-10 and CD4 improved the value for predicting QFR ≤ 0.8 of the target vessel (AUC, 0.737; 95% CI, 0.661–0.810).

Conclusion: Among immunoinflammatory biomarkers, IL-6 was independently associated with a higher risk of QFR ≤ 0.8 of the target vessel. The combination of immunoinflammatory biomarkers was highly predictive of significant coronary functional and anatomic stenosis.

Predictive value of the monocyte-to-lymphocyte ratio in the diagnosis of prostate cancer

It has been reported that inflammation and immune system are related to prostate cancer. The neutrophil-to-lymphocyte ratio (NLR), as well as the platelet-to-lymphocyte ratio (PLR), have already been proposed as new indices to help diagnose prostate cancer (PCa). However, the monocyte-to-lymphocyte ratio (MLR) with regard to PCa has rarely been mentioned.To investigate the capability of the MLR to predict PCa.Patients who were pathologically diagnosed with PCa in our hospital and healthy control subjects who conformed to the inclusion criteria were enrolled. Patient data were recorded, including age, complete blood counts, blood biochemistry, and serum prostate-specific antigen (PSA) levels. The differences in these data between the groups were analyzed and the diagnostic value of the MLR was compared with PSA.Our study included a total of 100 patients with PCa and 103 healthy control subjects. Patients with PCa presented with a significantly higher NLR, MLR, and PLR compared to control subjects. However, the hemoglobin and lymphocyte levels were lower (P < .05) in PCa patients. The area under the curve (AUC) of PSA and ratio of free/total serum prostate-specific antigen were 0.899 (95% confidence interval [CI]: 0.857-0.942) and 0.872 (95% CI: 0.818-0.926), respectively, while the AUC of the MLR was 0.852 (95% CI: 0.798-0.906), which was higher than that of the NLR, PLR, and any other blood parameters. Additionally, the optimal cut-off value of the MLR for PCa was 0.264, with a specificity of 87.4% and a sensitivity of 72.0%. An evaluation of the diagnostic value of MLR + PSA gave an AUC of 0.936 (95% CI: 0.902-0.970). However, the AUC of MLR + PSA + f/tPSA was 0.996 (95% CI: 0.991-1.000). The diagnostic value of MLR + NLR + PSA gave an AUC of 0.945 (95% CI: 0.913-0.977), and the specificity is 0.971.PSA remains the most important diagnostic indicator. MLR combined with PSA and f/tPSA has the higher predictive value than PSA. It suggests that MLR may be another good predictive indicator of PCa. It can help reduce the clinical false positive rate.

Systemic Immune-Inflammation Index Predicted Short-Term Outcomes in Patients Undergoing Isolated Tricuspid Valve Surgery

Systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio) has recently been identified as an inflammatory marker. We aimed to evaluate the prognostic implications of preoperative SII in patients undergoing isolated tricuspid valve (TV) surgery. In total, 213 patients who underwent isolated TV surgery between January 2000 and December 2018 were enrolled. They were divided into two groups, as follows: low SII (<455.6 × 109/L), and high SII (≥455.6 × 109/L). The correlation between SII and clinical outcomes was analyzed via the Cox regression and the Kaplan-Meier analyses. The primary outcomes considered were all-cause mortality and major postoperative complications within a 30-day period after isolated TV surgery, including major adverse cardiovascular or cerebrovascular events, pulmonary and renal complications, stroke, sepsis, multi-organ failure, wound, and gastrointestinal complications. In total, 82 (38.5%) patients experienced postoperative complications. Multivariable analyses revealed that high preoperative SII values were independently associated with the major 30-day postoperative complications (hazard ratio 3.58, 95% confidence interval 1.62-7.95, p = 0.001). Additionally, Kaplan-Meier analysis revealed that the probability of undergoing major 30-day postoperative complications was significantly elevated in patients with high versus low SII values (p < 0.001). These results indicate that SII, a readily available parameter, is significantly associated with poor outcomes in patients undergoing isolated TV surgery.

Predictive Value of Lymphocyte-to-monocyte Ratio in Patients with Contrast-induced Nephropathy After Percutaneous Coronary Intervention for Acute Coronary Syndrome

Background and Objectives

Lymphocyte-to-monocyte ratio (LMR) has emerged as a new indirect marker of inflammation, which is associated with adverse outcomes in cardiovascular diseases. The aim of this study was to evaluate whether admission LMR is associated with contrast-induced nephropathy (CIN) in patients who underwent percutaneous coronary intervention for acute coronary syndrome (ACS).

Methods

A total of 873 patients were assessed. LMR was calculated via dividing lymphocyte count by monocyte count.

Results

LMR was significantly lower in the with-CIN group. ROC analysis showed that the LMR ratios <2.52 predicted CIN development with sensitivity of 66.3% and specificity of 55.8%. Multivariate analysis showed that eGFR, admission glucose, and LMR were independent predictors of CIN in patients with ACS.

Conclusion

LMR is an easily accessible marker and could be used as a predictor of CIN in patients with ACS undergoing percutaneous coronary intervention.

Predictive value of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio for primary patency of percutaneous transluminal angioplasty in hemodialysis arteriovenous fistula stenosis

OBJECTIVE

The aim of this study is to investigate the potential association of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with the primary patency of percutaneous transluminal angioplasty (PTA) in hemodialysis arteriovenous fistula (AVF) stenosis.

METHODS

This study conducted a retrospective review of patients with end-stage renal disease referred for hemodialysis AVF stenosis in one center. The study consisted of 114 patients with significant (significant stenosis was defined as a reduction in the caliber of the fistula vein of > 50% with respect to the non-aneurysmal venous segment). AVF stenosis patients were treated with PTA, with conventional balloon angioplasty. The NLR and PLR were calculated from the pre-interventional blood samples. The patients were classified into two groups: group A, primary patency < 12 months (n = 35) and group B, and primary patency ≥ 12 months (n = 79). Comparisons between the groups were performed using the Mann-Whitney U test. Kaplan-Meier analysis was performed to compare the factors, NLR and PLR, for association with primary patency AVFs. A receiver-operating characteristic curve analysis was performed to identify the sensitivity and specificity of the NLR and PLR cut-off values in the prediction of primary patency time.

RESULTS

There was no difference in gender; age; side of AVF; AVF type; comorbid diseases such as diabetes mellitus and hypertension; or blood parameters such as white cell count, erythrocytes, hemoglobin, neutrophils, lymphocytes, monocytes, eosinophils, basophils, C-reactive protein, NLR, or PLR between the two groups (p > 0.05). There was also no significant difference in the patency rate between the NLR < 4.13 and NLR ≥ 4.13 groups at 12 months (NLR cut-off point = 4.13, p = 0.273). There were statistically significant differences between the primary patency rates of the PLR < 187.86 and PLR ≥ 187.86 groups at 12 months (PLR cut-off point = 187.86, p = 0.023). The cut-off value for PLR for the determination of primary patency was 187.86, with a sensitivity of 57.0% and specificity of 34.4%.

CONCLUSION

An increased level of PLR may be a risk factor for the development of early AVF restenosis after successful PTA. However, more studies are needed to validate this finding.

Admission Leukocyte Count is Associated with Late Cardiogenic Shock Development and All-Cause 30-Day Mortality in Patients with St-Elevation Myocardial Infarction

BACKGROUND

Thirty-day mortality in ST-elevation myocardial infarction (STEMI) patients is primarily driven by cardiogenic shock (CS). High neutrophil counts and high neutrophil/lymphocyte ratios (NLR) have previously been associated with mortality in STEMI patients; however, there is only sparse knowledge regarding their association with CS.

PURPOSE

We sought to assess the associations between neutrophil count and NLR with the development of CS as well as 30-day mortality in STEMI patients.

METHODS

Patients admitted with STEMI at two tertiary Heart Centres throughout 1 year were included in the study and stratified into quartiles according to the level of leukocyte count upon admission. The primary endpoint was development of CS both before (early CS) and after leaving the catheterization laboratory (late CS). The secondary endpoint was all-cause 30-day mortality.

RESULTS

A total of 1,892 STEMI patients were included, whereof 194 (10%) developed CS while 122 (6.4%) died within 30 days. Patients in the highest quartile of neutrophils (OR: 2.54; 95% CI: 1.40-4.60; P = 0.002) and NLR (OR: 3.64; 95% CI: 2.02-6.54; P<0.0001) were at increased risk of developing late CS compared with patients in the lower quartiles, whereas there was no risk difference across quartiles regarding development of early CS. Both biomarkers correlated strongly to an increased 30-day mortality (plogrank<0.0001) and, moreover, a high level of neutrophils was independently associated with 30-day mortality (HR: 1.95; 95% CI: 1.25-3.03; P = 0.003).

CONCLUSION

High levels of neutrophils and a high NLR upon admission for STEMI were independently associated with an increased risk of developing late CS and, additionally, both biomarkers showed association to 30-day mortality.

Association of monocyte-lymphocyte ratio with in-hospital mortality in cardiac intensive care unit patients

BACKGROUND

Inflammatory cell plays a very important part in the occurrence and development of cardiovascular disease. As a combination of lymphocyte and monocyte, monocyte-lymphocyte ratio (MLR) was proved to be related to the severity and prognosis of cardiovascular diseases. Our objective was to explore the association between MLR and in-hospital mortality in cardiac intensive care unit (CICU) patients.

METHOD

MLR was obtained by dividing monocyte percentage by lymphocyte percentage. All patients were grouped by MLR quartiles. Primary outcome was in-hospital mortality. Binary logistic regression analysis was performed to determine the independent effect of MLR.

RESULT

5512 CICU patients were included. In-hospital mortality increased as MLR quartiles increased (Quartile 4 vs Quartile 1: 16.3 vs 7.8, P < 0.001). After adjusting for confounding variables, MLR was proved to be independently associated with increased risk of in-hospital mortality (Quartile 4 vs Quartile 1: OR, 95% CI: 1.87, 1.38-2.56, P < 0.001, P for trend < 0.001). Subgroup analysis revealed that patients with low Acute Physiology and Chronic Health Evaluation IV (APACHE IV) or with less comorbidities had higher risk of mortality for MLR. As MLR quartiles increased, length of CICU stay (Quartile 4 vs Quartile 1: 2.8, 1.7-5.4 vs 2.1, 1.2-3.7, P < 0.001) and hospital stay (Quartile 4 vs Quartile 1: 8.3, 4.8-11.1 vs 5.3, 3.1-9.3, P < 0.001) were prolonged.

CONCLUSION

MLR was independently correlated with in-hospital mortality in CICU patients.

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.

Utility of the Platelet-to-Lymphocyte Ratio in Diagnosing and Predicting Treatment Success in Preterm Neonates with Patent Ductus Arteriosus

BACKGROUND

We investigated the predictive ability of the platelet-to-lymphocyte ratio (PLR) in preterm infants to discriminate those with and without hemodynamically significant PDA (hsPDA and non-hsPDA), hsPDA defined by those requiring medical intervention.

METHODS

This observational retrospective cohort study included premature neonates (<34 weeks gestational age) with routine complete blood counts in a neonatal intensive care unit.

RESULTS

PLR values on the 1st, 2nd, 3rd, and 7th days of birth were higher and lymphocyte counts were lower in the hsPDA than in the non-hsPDA group. Plateletcrit (PCT) values on the 2nd and 3rd days of birth were lower in the hsPDA group. All hsPDAs closed with medical therapy.

CONCLUSIONS

PLR may be a supportive tool for predicting those preterm infants with PDAs requiring medical intervention. This may serve as a guide for future studies investigating the predictive value of PCT and PLR for hsPDA in preterm infants.

Relationship Between Systemic Immune-Inflammation Index (SII) and the Severity of Stable Coronary Artery Disease

Systemic immune-inflammation index (SII; platelet count × neutrophil-to-lymphocyte ratio), a novel marker, predicts adverse clinical outcomes in coronary artery diseases (CAD). We hypothesized that SII could provide more valuable information in assessing the severity of CAD than ratios obtained from other white blood cell subtypes. Patients (n = 669) who underwent coronary angiography were analyzed in this retrospective study. We analyzed the relation between the SII and the angiographic severity of CAD. The severity of coronary atherosclerosis was determined by the SYNTAX score (SxS). Patients with CAD were divided into 3 groups according to the SxS. Multivariate logistic analysis was used to assess risk factors of CAD. In multivariate logistic regression analysis, the SII (odds ratio: 1.004; 95% CI: 1.001-1.007; P = .015) was an independent predictor of high SxS. Additionally, there was a positive correlation between SII and SxS (Rho: 0.630, P ≤ .001). In the receiver-operating characteristic curve analysis, SII with an optimal cutoff value of 750 × 10³ predicted the severe coronary lesion with a sensitivity of 86.2% and specificity of 87.3%. The SII, an inexpensive and easily measurable laboratory variable, was significantly associated with the severity of CAD and high SxS in patients with stable angina pectoris.

Prognostic value of inflammatory biomarkers and GRACE score for cardiac death and acute kidney injury after acute coronary syndromes

AIMS 

The aim of this study was to analyse the role of inflammation and established clinical scores in predicting acute kidney injury (AKI) after acute coronary syndromes (ACS).

METHODS AND RESULTS 

In a prospective multicentre cohort including 2034 patients with ACS undergoing percutaneous coronary intervention, high-sensitivity C-reactive protein (hsCRP), neutrophil count, neutrophil-to-lymphocyte ratio (NL-ratio), and creatinine were measured at the index procedure. AKI (n = 39, defined according to RIFLE criteria) and major cardiovascular and cerebrovascular events were adjudicated after 1 year. Associations between inflammation, AKI, and cardiac death (CD) were assessed by C-statistics and Cox proportional hazard models with log-rank test to compare survival. Patients with ACS with elevated neutrophil count >7.8 × 109/L, NL-ratio >5, combined neutrophil-count/creatinine, or NL-ratio/creatinine at baseline showed a higher incidence of AKI (all P < 0.05) and CD (all P < 0.001). The risk of AKI, CD, and their combination was increased in patients with higher neutrophil count/creatinine (heart rate (HR) = 3.7, 95% cardiac index (CI) 1.9-7.1; HR = 2.7, 95% CI 1.6-4.6; HR = 3.2, 95% CI 2.1-4.9); NL-ratio/creatinine (HR = 2.1, 95% CI 1.6-4.1; HR = 2.2, 95% CI 1.3-3.8; HR = 2.3, 95% CI 1.5-3.5); and hsCRP (HR = 1.8, 95% CI 0.9-3.5; HR = 2.2, 95% CI 1.3-3.6; HR = 1.9, 95% CI 1.2-2.8) after adjustment for age, diabetes, hypertension, previous heart failure, kidney function, haemodynamic instability at admission, statin, and renin-angiotensin-aldosterone antagonists use. Subjects with higher GRACE score 1.0/NL-ratio had higher rate of AKI, CD, and both (HR = 1.4, 95% CI 0.5-4.2; HR = 2.7, 95% CI 1.3-5.9; HR = 2.1, 95% CI 1-4.3).

CONCLUSIONS 

Inflammation markers may predict AKI after correction for renal function at the index procedure. hsCRP performed better than the NL-ratio. However, the integration of inflammation markers to traditional risk factors or scores does not add prognostic information.

TRIAL REGISTRATION 

ClinicalTrials.gov, NCT01000701.

Preoperative Lymphocyte-to-Monocyte Ratio as a Prognostic Predictor of Long-Term Mortality in Cardiac Surgery Patients: A Propensity Score Matching Analysis

Aims: To evaluate the prognostic value of the preoperative lymphocyte-to-monocyte ratio (LMR) in patients who underwent cardiac surgery. Methods: Clinical data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The optimal cutoff value of LMR was determined by X-tile software. The Cox proportional hazard model was applied for the identification of independent prognostic factors of 4-year mortality and survival curves were estimated using the Kaplan-Meier method. In order to balance the influence of potential confounding factors, a 1:1 propensity score matching (PSM) method was performed. Results: A total of 1,701 patients were included. The X-tile software indicated that the optimal cutoff value of the LMR for 4-year mortality was 3.58. After PSM, 489 pairs of score-matched patients were generated. The Cox proportional hazard model showed that patients with an LMR < 3.58 had a significantly higher 4-year mortality than patients with an LMR ≥ 3.58 in the entire cohort (HR = 1.925, 95%CI: 1.509-2.456, p < 0.001) and the PSM subset (HR = 1.568, 95%CI: 1.2-2.05, p = 0.001). The survival curves showed that patients with an LMR < 3.58 had a significant lower 4-year survival rate in the entire cohort (71.7 vs. 88.5%, p < 0.001) and the PSM subset (73.2 vs. 81.4%, p = 0.002). Conclusions: A lower LMR (<3.58) was associated with a higher risk of 4-year mortality and can serve as a prognostic predictor of the long-term mortality in cardiac surgery patients.

Neutrophil to Lymphocyte Ratio as a Predictor of Long-Term Outcome in Peritoneal Dialysis Patients: A 5-Year Cohort Study

INTRODUCTION

The mortality of peritoneal dialysis (PD) patients remains high. The neutrophil to lymphocyte ratio (NLR), as an indicator of systemic inflammation, has been considered to be a predictor of cardiovascular and all-cause mortality in hemodialysis patients. The present study aims to investigate the relationship between NLR and long-term outcome in PD patients.

MATERIALS AND METHODS

The study included patients who initiated PD for at least 3 months between January 1, 2013, and December 31, 2015. All the patients were followed up until death, cessation of PD, or to the end of the study (June 31, 2018). NLR was calculated as the ratio of neutrophils to lymphocytes.

RESULTS

A total of 140 patients were included in this study. The median NLR reported was 2.87. Patients with lower NLR showed a higher survival rate than patients with higher NLR (log rank 6.886, p = 0.009). Furthermore, patients with higher NLR had a significantly higher cardiovascular mortality (log rank 5.221, p = 0.022). Multivariate Cox proportional hazards model showed that older age (HR 1.054, 95% CI 1.017-1.092, p = 0.004), higher Ca × P (HR 1.689, 95% CI 1.131-2.523, p = 0.010), and higher NLR (HR 2.603, 95% CI 1.037-6.535, p = 0.042) were independent predictors of increased all-cause mortality. NLR was also independently associated with cardiovascular mortality (HR 2.886, 95% CI 1.005-8.283, p = 0.039). Higher NLR (HR 2.667, 95% CI 1.333-5.337, p = 0.006), older age (HR 1.028, 95% CI 1.005-1.052, p = 0.016), and history of cardiovascular disease (HR 1.426, 95% CI 1.195-3.927, p = 0.031) were significantly independently associated with poor peritonitis-free survival in this study.

CONCLUSIONS

NLR could be a strong predictor of long-term outcome in PD patients.

Association of platelet to lymphocyte ratio with in-hospital major adverse cardiovascular events and the severity of coronary artery disease assessed by the Gensini score in patients with acute myocardial infarction

Background:

The platelet to lymphocyte ratio (PLR) has recently emerged as a potential inflammatory biomarker and has been shown to be significantly associated with atherosclerotic coronary artery disease (CAD). Therefore, we aimed to explore the association of PLR with in-hospital major adverse cardiovascular events (MACEs) and the severity of CAD assessed by the Gensini score (GS) in patients with acute myocardial infarction (AMI) undergoing coronary angiography.

Methods:

A total of 502 patients with AMI consecutively treated at the Affiliated Hospital of Qingdao University (Qingdao, China) and underwent coronary angiography from August 2017 to December 2018 were recruited in this study. The demographic, clinical, angiographic characteristics, and laboratory parameters were collected. According to the presence of in-hospital MACEs, the included patients were divided into the MACE group (n = 81) and the non-MACE group (n = 421). Further, according to tertiles of the GS, the patients were classified into three groups: the low GS group (GS ≤ 32 points, n = 173), medium GS group (32 points < GS ≤ 60 points, n = 169), and high GS group (60 points < GS ≤ 180 points, n = 160). The main statistical methods included Chi-squared test, non-parametric Mann-Whitney U test, Kruskal-Wallis H test, logistic regression, and receiver operating characteristic curves.

Results:

The PLR in the MACE group was significantly higher than that in the non-MACE group (179.43 [132.84, 239.74] vs. 116.11 [87.98, 145.45], Z = –8.109, P < 0.001). Further, there were significant differences in PLR among the tertiles of GS (110.05 [84.57, 139.06] vs. 119.78 [98.44, 157.98] vs. 140.00 [102.27, 191.83], H = 19.524, P < 0.001). PLR was demonstrated to be an independent risk factor of in-hospital MACEs (odds ratio [OR]: 1.012, 95% confidential interval [CI]: 1.006–1.018, P < 0.001) and severe CAD assessed by the GS (OR: 1.004, 95% CI: 1.002–1.009, P = 0.042). The cutoff value of PLR for predicting the development of in-hospital MACEs was 151.28 with a sensitivity of 66.7% and a specificity of 78.1% (area under the curve [AUC]: 0.786, 95% CI: 0.730–0.842, P < 0.001), and a PLR of 139.31 was also identified to be an effective cutoff point for detecting a high GS (>60 points) with a sensitivity of 49.4% and a specificity of 69.6% (AUC: 0.611, 95% CI: 0.556–0.666, P < 0.001).

Conclusions:

PLR as a novel inflammatory marker is significantly and independently associated with the occurrence of in-hospital MACEs and the severity of CAD assessed by the GS in patients with AMI. As an easily available and inexpensive inflammatory indicator, PLR could be widely used as an efficient inflammatory biomarker for identifying high-risk patients and for individualizing targeted therapy to improve the prognosis of AMI.