Association of Derived Neutrophil-To-Lymphocyte Ratio With Prognosis of Coronary Heart Disease After PCI

Predictive role of neutrophil-to-lymphocyte ratio in metabolic syndrome: Meta-analysis of 70,937 individuals

OBJECTIVE

Neutrophil-to-lymphocyte ratio (NLR) has been shown to be an independent predictor for cardiovascular diseases and metabolic diseases. The role of NLR in metabolic syndrome (MS) has also been explored albeit with conflicting results. The objective of this study was to assess the predictive role of NLR in MS.

METHODS

We conducted a meta-analysis of observational studies to evaluate the predictive role of NLR in MS. Cochrane library, PubMed, Medline, Embase, and Scopus were systematically searched from their inception to December 2023. The Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines was followed. The statistical analysis was performed using RevMan 5.3 software. A randomeffect model was used.

RESULTS

Twenty six studies enrolling 70,937 individuals were included in this meta-analysis. Compared with the individuals without MS, NLR value was significantly higher in the patients of MS (mean difference (MD) 0.40, 95% confidence intervals (CI): 0.27-0.52, P < 0.00001, I2 = 97%). The derived NLR value also was significantly higher in participants with MS than those without MS (MD 0.48, 95%CI: 0.13-0.84, P = 0.007, I2 = 96%). There was no statistically significant association for NLR between the patients with 4 metabolic risk factors (MRF) and those with 3 MRF, or between patients with 5 MRF and those with 4 MRF (MD 0.16, 95%CI: -0.02-0.35, P = 0.10, I2 = 84%; MD 0.12, 95%CI: -0.06-0.29, P = 0.20, I2 = 68%). However, MS patients with 5 MRF had a significantly higher mean NLR value than those with 3MRF (MD 0.37, 95%CI: 0.05-0.68, P = 0.02, I2 = 92%). Compared with the individuals with low NLR, incidence of MS was significantly higher in those with high NLR (OR 2.23, 95%CI: 1.25-3.98, P = 0.006, I2 = 97%).

CONCLUSION

The findings of our meta-analysis suggested that the value of NLR and derived NLR were higher in MS patients. MS patients with 5 MRF had a significantly higher mean NLR value. High NLR also demonstrated a significantly increased the incidence of MS. NLR may be a good predictive biomarker in MS.

Predictive role of monocyte count for significant coronary artery disease identification in patients with stable coronary artery disease

BACKGROUND

The coronary artery disease (CAD) remains the leading cause of morbidity that is characterized by broad spectrum of symptoms. Up to 30% of performed angiographies reveal normal coronary arteries. The aim of the study was to find simple predictor for significant epicardial artery stenosis among patients with chronic coronary syndrome.

METHODS

There were 187 patients (131 (709%) men and 56 (30%) women) in the median (Q1-Q3) age of 67 [58-72] presenting with stable CAD symptoms enrolled into the present retrospective analysis. The demographical, clinical and laboratory characteristics between patients with normal and significant coronary artery stenosis were compared.

RESULTS

The multivariable analysis revealed coexistence of hypercholesterolemia as significant differentiation factor (odds ratio [OR]: 4.38, 95% confidence interval [CI]: 1.78-10.80, p = 0.001) for significant CAD and inverse relation to serum high density lipoprotein (OR: 0.19, 95% CI: 0.05-0.72, p = 0.015) and relation to creatinine concentration (OR: 1.03, 95% CI: 1.00-1.05, p = 0.012). Among whole peripheral blood count analysis, the significant relation was noticed to be hemoglobin concentration (OR: 1.09, 95% CI: 1.10-1.18, p = 0.022) and monocyte count (OR: 32.3, 95% CI: 1.09-653.6, p = 0.017). Receiver operator curve revealed (AUC: 0.641, p = 0.001) with the optimal cut-off value above 0.45 K/uL for monocyte, yelding sensitivity of 81.82% and specificity of 58.06%.

CONCLUSIONS

The peripheral monocyte count above 0.45 k/uL may be considered as a predictor of significant coronary artery disease in symptomatic patients with chronic coronary syndrome.

Predictive value of systemic inflammatory response index (SIRI) for complex coronary artery disease occurrence in patients presenting with angina equivalent symptoms

BACKGROUND

Currently, atherosclerotic cardiovascular disease is the major cause of mortality world-wide. Inflammatory processes are postulated to be a major driving force for coronary plaque initiation and progression and can be evaluated by simple inflammatory markers from whole blood count analysis. Among hematological indexes, systemic inflammatory response index (SIRI) is defined as a quotient of neutrophils and monocytes, divided by lymphocyte count. The aim of the present retrospective analysis was to present the predictive role of SIRI for coronary artery disease (CAD) occurrence.

METHODS

There were 256 patients (174 [68%] men and 82 [32%] women) in the median (Q1-Q3) age of 67 (58-72) years enrolled into retrospective analysis due to angina pectoris equivalent symptoms. A model for predicting CAD was created based on demographic data and blood cell parameters reflecting an inflammatory response.

RESULTS

In patients with single/complex coronary disease the logistic regression multivariable analysis revealed predictive value of male gender (odds ratio [OR]: 3.98, 95% confidence interval [CI]: 1.38-11.42, p = 0.010), age (OR: 5.57, 95% CI: 0.83-0.98, p = 0.001), body mass index (OR: 0.89, 95% CI: 0.81-0.98, p = 0.012), and smoking (OR: 3.66, 95% CI: 1.71-18.22, p = 0.004). Among laboratory parameters, SIRI (OR: 5.52, 95% CI: 1.89-16.15, p = 0.029) and red blood cell distribution width (OR: 3.66, 95% CI: 1.67-8.04, p = 0.001) were found significant.

CONCLUSIONS

Systemic inflammatory response index, a simple hematological index, may be helpful in patients with angina equivalent symptoms to diagnose CAD. Patients presenting with SIRI above 1.22 (area under the curve: 0.725, p < 0.001) have a higher probability of single and complex coronary disease.

Impact of lactate dehydrogenase on prognosis of patients undergoing cardiac surgery

Background

Lactate dehydrogenase (LDH) has been reported in multiple heart diseases. Herein, we explored the prognostic effects of preoperative LDH on adverse outcomes in cardiac surgery patients.

Methods

Retrospective data analysis was conducted from two large medical databases: Medical Information Mart for Intensive Care (MIMIC) III and MIMIC IV databases. The primary outcome was in-hospital mortality, whereas the secondary outcomes were 1-year mortality, continuous renal replacement therapy, prolonged ventilation, and prolonged length of intensive care unit and hospital stay.

Results

Patients with a primary endpoint had significantly higher levels of LDH (p < 0.001). Multivariate regression analysis presented that elevated LDH was independently correlated with increased risk of primary and secondary endpoints (all p < 0.001). Subgroup analyses showed that high LDH was consistently associated with primary endpoint. Moreover, LDH exhibited the highest area under the curve (0.768) for the prediction of primary endpoint compared to the other indicators, including neutrophil–lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet–lymphocyte ratio (PLR), lactate, and simplified acute physiology score (SAPS) II. The above results were further confirmed in the MIMIC IV dataset.

Conclusions

Elevated preoperative LDH may be a robust predictor of poor prognosis in cardiac surgery patients, and its predictive ability is superior to NLR, LMR, PLR, lactate, and SAPS II.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-022-02848-7.

The role of neutrophil-to-lymphocyte ratio in predicting mortality after bidirectional Glenn procedure

This study aimed to address the role of various inflammation-related blood indices for the assessment of in-hospital outcomes in subjects undergoing Glenn procedure. Subjects who underwent the Glenn procedure for hypoplastic left heart syndrome were analysed retrospectively. Subjects were divided into two groups: Group 1 consisted of 78 patients who were discharged, and Group 2 included 12 patients who died after surgery. Post-operative third-day neutrophil count and neutrophil-to-lymphocyte ratio value were significantly higher in the exitus group compared to the discharged group (p = 0.006 and p = 0.003, respectively). Third-day neutrophil-to-lymphocyte ratio was positively correlated with duration of intubation (r = 0.253, p = 0.018), length of stay in ICU (r = 0.296, p = 0.006) and length of hospital stay (r = 0.297, p = 0.005). Multiple logistic regression analysis revealed that patients with high third-day neutrophil-to-lymphocyte ratio (≥6) had 14.227-fold higher risk of death compared to those with lower values. In addition, higher pulmonary arterial pressure was associated with increased risk of death. Receiver operating characteristics analysis revealed that neutrophil-to-lymphocyte ratio had 66.67% sensitivity, 84% specificity, 81.61% accuracy, 40.00% positive predictive value and 94.03% negative predictive value with a cut-off point of ≥6 to predict mortality. Third-day neutrophil-to-lymphocyte ratio and increased post-operative pulmonary arterial pressure are significant predictors for in-hospital mortality in Glenn procedure recipients. A cut-off value of ≥6 for third-day neutrophil-to-lymphocyte ratio predicts mortality with 66.67% sensitivity and 84% specificity. Given its simplicity and availability, post-operative neutrophil-to-lymphocyte ratio should be monitored on a daily basis to identify patients with high risk for mortality after Glenn procedure.