Predictive efficacy of neutrophil-to-lymphocyte ratio for long-term prognosis in new onset acute coronary syndrome: a retrospective cohort study

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal artery occlusion: a meta-analysis

PURPOSE

The goal of this meta-analysis is to examine the association between Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) in patients with Retinal Artery Occlusion (RAO). The analysis aims to provide insight into the potential of NLR and PLR as inflammatory biomarkers for RAO.

METHODS

Following PRISMA guidelines, a systematic search in PubMed, Embase, and Scopus identified eight eligible studies. The analysis assessed serum NLR and PLR levels in RAO and non-RAO groups by employing standardized mean differences (SMDs). Sensitivity analyses and publication bias were examined. The diagnostic performance of these markers was evaluated with a quantitative synthesis.

RESULTS

The meta-analysis, involving 1,444 participants, demonstrated significantly elevated NLR (SMD = 0.88, 95% CI: 0.49-1.28, P < 0.001) and PLR (SMD = 0.45, 95% CI: 0.16-0.73, P < 0.001) levels in individuals with RAO. Significant heterogeneity was noted. Sensitivity analysis showed robustness and no significant publication bias was found. Summary results of diagnostic performance revealed promising discriminatory power for NLR and PLR.

CONCLUSIONS

The results support a possible connection between systemic inflammation, as indicated by NLR and PLR, and the occurrence of RAO. Although there was heterogeneity, sensitivity analyses showed the findings to be robust. While immediate diagnostic applications are limited, understanding the role of NLR and PLR in the pathological process of RAO provides valuable insights for developing future predictive models, risk management approaches, and treatment strategies. Further research exploring mechanistic insights and conducting prospective studies is warranted to validate their clinical utility.

KEY MESSAGES

What is known Retinal artery occlusion (RAO) is a serious condition with potential links to systemic inflammation and thrombosis. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are emerging inflammatory markers. What is new This is the first meta-analysis examining the association between NLR, PLR and RAO. Elevated NLR and PLR levels were observed in patients with RAO compared to controls. NLR and PLR show potential as indicators of systemic inflammation in RAO pathogenesis.

Predictive value of peripheral neutrophil count on admission for young patients with acute coronary syndrome

OBJECTIVE

The present study aimed to explore the relationship between neutrophil count on admission and major adverse cardiovascular and cerebrovascular events (MACCE) and left ventricular ejection fraction (LVEF) during hospitalization in young ACS patients, which have rarely been investigated in previous studies.

METHODS

This study included 400 young ACS patients (<45 years old) who underwent coronary angiography. According to the median neutrophil count at admission, the patients were divided into two groups. The relationship between neutrophil count and MACCE and LVEF during hospitalization was analyzed by regression analysis. The receiver operating characteristic (ROC) curve and the Youden index was used to determine the optimal cut-off value of neutrophil count.

RESULTS

Neutrophil count at admission was an independent risk factor of in-hospital MACCE (OR: 1.33, 95 % CI: 1.13-1.56, P<0.001) and LVEF <50 % (OR: 1.28, 95 % CI: 1.12-1.47, P<0.001) in young ACS patients.The cutoff value of neutrophil count for predicting the occurrence of in-hospital MACCE was 6.935 × 10^9/L with a sensitivity of 92.1 %, specificity of 59.4 %, and AUC is 0.820 (95 % CI: 0.7587-0.8804, P<0.001), and for identifying the LVEF <50 % was 8.660 × 10^9/L with a sensitivity of 69.8 %, specificity of 76.8 %, and AUC is 0.775 (95 % CI: 0.6997-0.8505, P<0.001).

CONCLUSION

The neutrophil count upon admission is an independent predictor of in-hospital MACCE and LVEF in young ACS patients, giving important information for predicting the poor prognosis of young ACS patients.

Clinical outcomes and associated factors in patients who underwent percutaneous coronary intervention: a multicenter study in Ethiopia

AIMS

This study aimed to evaluate the clinical outcomes and associated factors in patients who underwent percutaneous coronary intervention (PCI).

METHODS

This five-year retrospective cross-sectional study analyzed data from 241 patients who underwent urgent and primary PCI. Outcome measures included in-hospital mortality, major adverse cardiac and cerebrovascular events (MACCEs), postprocedural complications, and survival rates. Data were analysed using the Statistical Package for Social Sciences version 25. Cox proportional hazard regression models were used to assess predictors of in-hospital mortality. Kaplan-Meier analysis and the log-rank test were used to assess the overall survival rates and median survival time and to compare the survival probability curves for independent predictors. Hazard ratios (HRs) and 95% confidence intervals (CIs) were presented.

RESULTS

One hundred forty-two patients underwent elective PCI with drug-eluting stent implantation (75.1%) as the reperfusion method. The in-hospital mortality and non-fatal MACCE rates were 3.7% and 24.1%, respectively. The predictors of in-hospital mortality were female sex (AHR = 8.39, 95% CI: 1.20-58.68, p = 0.03), preprocedural obesity (AHR = 6.54, 95% CI: 1.10-40.60, p = 0.04), previous myocardial infarction (AHR = 9.68, 95% CI: 1.66-56.31, p = 0.01), chronic heart failure (AHR = 9.21, 95% CI: 1.38-61.78, p = 0.02), and a previous history of stroke (AHR = 18.99, 95% CI: 1.59-227.58, p = 0.02). Notably, this study reported a high one-year survival rate.

CONCLUSION

Urgent and primary PCIs are critical interventions for patients with MI in Ethiopia, showing promising outcomes such as low in-hospital mortality and a high one-year survival rate. These findings underscore the importance of optimising access to PCI and related treatments to improve patient outcomes.

Predictive Value of MHR and NLR for Ulcerative Colitis Disease Activity

Background

Numerous non-invasive serologic tests are available to diagnose and monitor ulcerative colitis (UC), but their accuracy levels are limited. Thus, there is a pressing need for a serologic biomarker with higher precision for clinical practice. This study aims to evaluate the predictive capacity of monocyte/HDL ratio (MHR) and neutrophil/lymphocyte ratio (NLR) for UC disease activity.

Patients and Methods

We conducted a retrospective analysis of 81 UC patients and 77 age- and sex-matched healthy controls. UC patients were categorized into active and inactive groups based on the Mayo score. The Mayo endoscopic subscore classified them into mild-to-moderate and severe UC groups.

Results

The optimal cut-off values for diagnosing UC were 0.34 for MHR (85.7% sensitivity, 76.0% specificity, 88.9% positive predictive value, 70.4% negative predictive value) and 2.49 for NLR (66.1% sensitivity, 88.0% specificity, 92.5% positive predictive value, 53.7% negative predictive value). The optimal MHR and NLR cut-off values to differentiate between mild-to-moderate UC and severe UC were 0.38 (92.9% sensitivity, 56.6% specificity, 53.1% positive predictive value, 93.7% negative predictive value) and 3.46 (71.4% sensitivity, 88.7% specificity, 76.9% positive predictive value, 85.5% negative predictive value), respectively.

Conclusion

NLR and MHR are simple yet effective biological predictors of disease activity in UC patients.

Neutrophil-to-lymphocyte ratio an inflammatory biomarker, and prognostic marker in heart failure, cardiovascular disease and chronic inflammatory diseases: New insights for a potential predictor of anti-cytokine therapy responsiveness

In the 20th century, research focused on cholesterol and lipoproteins as the key mechanism in establishing atherosclerotic cardiovascular disease (ASCVD). Given that some studies demonstrated subclinical atherosclerosis in subjects without conventional cardiovascular risk factors, the elevated low-density lipoprotein (LDL) levels alone cannot account for the entire burden of atherosclerosis. Hence, large-scale clinical trials demonstrated the operation of immune and inflammatory pathways in ASCVD. In this regard, the evidence establishes that cells of the immune system, both the innate (neutrophils, macrophages) and adaptive (T cell and other lymphocytes) limbs, contribute to atherosclerosis and atherothrombosis. Besides, basic science studies have identified proatherogenic cytokines such as interleukin (IL)-1, IL-12, and IL-18. In this regard, some studies showed that antiinflammatory therapy targeting the immune system by modulating or blocking interleukins, also known as anti-cytokine therapy, can reduce the risk of major cardiovascular adverse events. The neutrophils play a key role in the innate immune system, representing the acute phase of an inflammatory response. In contrast, lymphocytes represent the adaptive immune system and promote the induction of autoimmune inflammation, especially in the chronic inflammatory response. Through the literature review, we will highlight the inflammatory pathway for the physiopathology of ASCVD, HF, and COVID-19. In this regard, the neutrophil-to-lymphocyte ratio (NLR) integrates the innate immune and adaptive immune systems, making the NLR a biomarker of inflammation. In addition, we provided an update on the evidence showing that high NLR is associated with worse prognosis in heart failure (HF), ASCVD, and COVID-19, as well as their clinical applications showing that the normalization of NLR after anti-cytokine therapy is a potential predictor of therapy responsiveness and is associated with reduction of major adverse cardiovascular events.

Sex differences in major adverse cardiovascular and cerebrovascular event risk among central retinal artery occlusion patients

To estimate the association between central retinal artery occlusion (CRAO) and major adverse cardiovascular and cerebrovascular events (MACCE), including their clinical characteristics, blood markers, and the contribution of CRAO to MACCE, as well as to assess any sex differences. This retrospective cohort study included continuous new-onset CRAO patients and 1:4 controls during the same period. Correlations of CRAO with the incidence of MACCE during follow-up and the sex-related differences were studied. One hundred and twenty-four CRAO patients and four hundred and ninety-six controls were enrolled. Neutrophil-to-lymphocyte ratio (NLR, P = 0.014) and high-sensitivity C-reactive protein (hs-CRP, P = 0.038) were tended to be higher in CRAO patients. After the follow-up period, 78 patients experienced MACCE. Multivariate Cox regression analysis showed that CRAO was a predictor of the occurrence of MACCE (HR 2.321, 95% CI 1.439-3.744, P = 0.001). Sex subgroups indicated that age, diabetes, current smoking, CRAO, NLR and hs-CRP increased the risk factor of MACCE in males (All P < 0.05) and CRAO, NLR, low-density lipoprotein cholesterol (LDL-C) and hs-CRP were independent influencing factors for females (All P < 0.05). New-onset CRAO significantly increases the probability of MACCE and is associated with a poor prognosis. The sex-related differences suggested that effective prevention of the occurrence of MACCE in high-risk patients requires that attention be given to individualized risk factors corresponding to sexes.

Multimodal data-driven prognostic model for predicting new-onset ST-elevation myocardial infarction following emergency percutaneous coronary intervention

OBJECTIVES

We developed a nomogram model derived from inflammatory indices, clinical data, and imaging data to predict in-hospital major adverse cardiac and cerebrovascular events (MACCEs) following emergency percutaneous coronary intervention (PCI) in patients with new-onset ST-elevation myocardial infarction (STEMI).

METHODS

Patients with new-onset STEMI admitted between June 2020 and November 2022 were retrospectively reviewed. Data pertaining to coronary angiograms, clinical data, biochemical indices, and in-hospital clinical outcomes were derived from electronic medical records. Lasso regression model was employed to screen risk factors and construct a prediction model.

RESULTS

Overall, 547 patients with new-onset STEMI who underwent PCI were included and assigned to the training cohort (n = 384) and independent verification cohort (n = 163). Six clinical features (age, diabetes mellitus, current smoking, hyperuricemia, neutrophil-to-lymphocyte ratio, and Gensini score) were selected by LASSO regression to construct a nomogram to predict the risk of in-hospital MACCEs. The area-under-the-curve (AUC) values for in-hospital MACCEs risk in the training and independent verification cohorts were 0.921 (95% CI 0.881-0.961) and 0.898 (95% CI 0.821-0.976), respectively. It was adequately calibrated in both training cohort and independent verification cohorts, and predictions were correlated with actual outcomes. Decision curve analysis demonstrated that the nomogram was capable of predicting in-hospital MACCEs with good clinical benefit.

CONCLUSIONS

Our prediction nomogram based on multi-modal data (inflammatory indices, clinical and imaging data) reliably predicted in-hospital MACCEs in new-onset STEMI patients with emergency PCI. This prediction nomogram can enable individualized treatment strategies.

Altered neutrophil-to-lymphocyte ratio in patients with non-affective first episode psychosis and its relationship with symptom severity and cognitive impairment

Signatures of immune dysregulation as clinical biomarker for psychosis have remained unclear. We aimed to compare the Neutrophil-to-lymphocyte ratio (NLR) of patients with acute non-affective first-episode psychosis (FEP) with healthy controls after accounting for emotional states. We also explored the associations of NLR with symptom severity, onset profile and cognitive functions. The NLR was enumerated from complete blood count taken within a week of assessment. All FEP patients were rated on the Positive and Negative Syndrome Scale (PANSS) and the Clinician Global Impression-Severity (CGI-S) with verbal memory and executive functions assessed with the Cambridge Neuropsychological Test Automated Battery. Prevailing emotional state was measured with Beck Depression Inventory-II and Beck Anxiety Inventory. Out of seventy-nine consecutive FEP patients presenting to the study site, twenty-seven subjects were eligible and recruited. Twenty-seven age-/sex-matched controls were recruited. FEP patients had an NLR of 1.886 over the controls after accounting for scores on emotional states. The NLR of FEP patients was positively associated with CGI-S scores, PANSS positive symptom, disorganization and excitation scores. There was no significant correlation between NLR with the duration of untreated psychosis and cognitive performances. These findings support using NLR as a clinical biomarker in FEP, purporting further prospective study to measure NLR changes in the course of treatment.

New permanent bundle-branch block and long-term prognosis of patients with new onset ST-elevation myocardial infarction who underwent percutaneous coronary intervention

Aim: The aim of the study was to evaluate the potential predictive value of permanent RBBB and LBBB for longer-term prognosis in patients with new-onset STEMI who underwent percutaneous coronary intervention (PCI).

Methods: Patients with new-onset STEMI that underwent emergency PCI at our department from June 2012 to September 2020 were included in the study. Gensini score (GS) was employed to evaluate the severity of coronary lesions. The primary endpoint of the study was the occurrence of major adverse cardiac and cerebrovascular events (MACCEs), the composite of cardiac mortality, recurrence of myocardial infarction, cardiac shock, stroke, stent thrombosis, or revascularization. We also set all-cause mortality as a secondary endpoint.

Results: Out of the 547 patients, 29 patients had new-onset permanent LBBB, 51 patients had new-onset permanent RBBB, and 467 patients had no bundle-branch block (BBB). The occurrence of no BBB, new permanent LBBB, or RBBB was not associated with the severity of coronary artery lesions as evaluated by the GS. After follow-up at an average of 43.93 months, MACCEs occurred in 52 patients. Kaplan-Meier analysis showed that patients with new-onset RBBB were at greater risk for MACCEs compared to those with new onset LBBB (χ² = 5.107, p = 0.021). Also, an independent correlation was found between new permanent RBBB and LBBB and MACCEs risk. The adjusted hazard ratios (HRs) were 6.862 [95% confidence interval (CI) of 3.764–12.510] for the new-onset permanent RBBB and 3.395 (95% CI of 1.280–9.005) for LBBB, compared to those with no BBB, respectively (both p < 0.05).

Conclusion: New onset permanent RBBB in patients with new onset STEMI who underwent PCI may be correlated independently with increased risk of poor long-term prognosis.

Predictive value of neutrophil-to-lymphocyte ratio for the fatality of COVID-19 patients complicated with cardiovascular diseases and/or risk factors

Previous studies have reported that a high neutrophil-to-lymphocyte ratio (NLR) is associated with disease severity and poor prognosis in COVID-19 patients. We aimed to investigate the clinical implications of NLR in patients with COVID-19 complicated with cardiovascular diseases and/or its risk factors (CVDRF). In total, 601 patients with known NLR values were selected from the CLAVIS-COVID registry for analysis. Patients were categorized into quartiles (Q1, Q2, Q3, and Q4) according to baseline NLR values, and demographic and clinical parameters were compared between the groups. Survival analysis was conducted using the Kaplan-Meier method. The diagnostic performance of the baseline and follow-up NLR values was tested using receiver operating characteristic (ROC) curve analysis. Finally, two-dimensional mapping of patient characteristics was conducted using t-stochastic neighborhood embedding (t-SNE). In-hospital mortality significantly increased with an increase in the baseline NLR quartile (Q1 6.3%, Q2 11.0%, Q3 20.5%; and Q4, 26.6%; p < 0.001). The cumulative mortality increased as the quartile of the baseline NLR increased. The paired log-rank test revealed significant differences in survival for Q1 vs. Q3 (p = 0.017), Q1 vs. Q4 (p < 0.001), Q2 vs. Q3 (p = 0.034), and Q2 vs. Q4 (p < 0.001). However, baseline NLR was not identified as an independent prognostic factor using a multivariate Cox proportional hazards regression model. The area under the curve for predicting in-hospital death based on baseline NLR was only 0.682, whereas that of follow-up NLR was 0.893. The two-dimensional patient map with t-SNE showed a cluster characterized by high mortality with high NLR at follow-up, but these did not necessarily overlap with the population with high NLR at baseline. NLR may have prognostic implications in hospitalized COVID-19 patients with CVDRF, but its significance depends on the timing of data collection.

Novel Insights into the Predictors of Obstructive Sleep Apnea Syndrome in Patients with Chronic Coronary Syndrome: Development of a Predicting Model

Background

Obstructive sleep apnea syndrome (OSAS) is common in patients with chronic coronary syndrome (CCS); however, a predictive model of OSAS in patients with CCS remains rarely reported. The study aimed to construct a novel nomogram scoring system to predict OSAS comorbidity in patients with CCS.

Methods

Consecutive CCS patients scheduled for sleep monitoring at our hospital from January 2019 to September 2020 were enrolled in the current study. Coronary CT angiography or coronary angiography was used for the diagnosis of CCS, and clinical characteristics of the patients were collected. Significant predictors for OSAS in patients with moderate/severe CCS were estimated via logistic regression analysis, and a clinical nomogram was constructed. A calibration plot, examining discrimination (Harrell's concordance index) and decision curve analysis (DCA), was applied to validate the nomogram's predictive performance. Internal validity of the predictive model was assessed using bootstrapping (1000 replications).

Results

The nomograms were constructed based on available clinical variables from 527 patients which were significantly associated with moderate/severe OSAS in patients with CCS, including body mass index, impaired glucose tolerance, hypertension, diabetes mellitus, nonalcoholic fatty liver disease, and routine laboratory indices such as neutrophil to lymphocyte ratio, platelet-to-lymphocyte ratio, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol. The C-index (0.793) and AUC (0.771, 95% CI: 0.731–0.811) demonstrated a favorable discriminative ability of the nomogram. Moreover, calibration plots revealed consistency between moderate/severe OSAS predicted by the nomogram and validated by the results of sleep monitoring. Clinically, DCA showed that the nomogram had good discriminative ability to predict moderate/severe OSAS in patients with CCS.

Conclusions

The risk nomogram constructed via the routinely available clinical variables in patients with CCS showed satisfying discriminative ability to predict comorbid moderate/severe OSAS, which may be useful for identification of high-risk patients with OSAS in patients with CCS.

Serum total bilirubin and long-term prognosis of patients with new-onset non-ST elevation myocardial infarction: a cohort study

Background

The potential prognostic role of total bilirubin (TBIL) in patients with new-onset non-ST elevation myocardial infarction (NSTEMI) is not fully understood. This study aims to evaluate the potential predictive value of TBIL for long-term prognosis in patients with new-onset NSTEMI.

Methods

Patients with new-onset NSTEMI that underwent emergency coronary angiography in our department from June 2015 to March 2020 were included. Baseline TBIL was measured at admission. SYNTAX scores were used to indicate the severity of coronary lesions. The association between TBIL and SYNTAX scores was analyzed using multivariate logistic regression. The patients were followed for the incidence of major adverse cardiac and cerebrovascular events (MACCEs). The association between TBIL and MACCEs was analyzed using Kaplan–Meier survival methods.

Results

In total 327 patients were included in this study. Patients were divided according to tertiles of TBIL (first tertile < 10.23 µmol/L, n = 109; second tertile 10.23–14.30 µmol/L, n = 109; and third tertile ≥ 14.30 µmol/L, n = 109). TBIL was independently associated with the severity of coronary lesions in patients with NSTEMI, with an adjusted odds ratio (OR) and 95% confidence interval (CI) for the third tertile and the second tertile compared with the first tertile of TBIL of 2.259 (1.197–4.263) and 2.167 (1.157–4.059), respectively (both p < 0.05). After a mean follow-up of 30.33 months, MACCE had occurred in 57 patients. TBIL was independently associated with the increased risk of MACCEs, with an adjusted hazard ratio (HR) and 95% CI for the third tertile and the second tertile compared with the first tertile of TBIL of 2.737 (1.161–6.450) and 3.272 (1.408–7.607), respectively (both p < 0.05).

Conclusions

Higher myocardial infarction admission TBIL might independently predict poor prognosis in patients with NSTEMI.

ADS Score as a Novel Predictor of Outcomes in Patients Who Underwent Percutaneous Coronary Intervention

Objectives: A novel AFR– albumin-derived neutrophil to lymphocyte ratio (dNLR) score (ADS) were reported to associate with clinical outcome in various malignancies, However, the relation between the ADS score and outcomes in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) has not been investigated.

Methods: Three thousand five hundred and sixty-one patients were divided into two groups according to ADS score: low group (ADS score <2; n = 2,682) and high group (ADS score ≥ 2; n = 879). Overall, there were 133 all-cause mortality (ACM) during the following up. The incidence of ACM in the low group is 2.7% (72/2,682) and high group is 6.9% (61/879). The ACM incidence was significantly higher in high group compared to that in the low group (P < 0.001). Cardiac mortality (CM) occurred in 82 patients: 44(1.6%) in the low group and 38 (4.3%) in the high group. There was significant difference in the CM incidence between the low group and high group (P < 0.001). Major adverse cardiac and cerebrovascular events (MACCE) occurred in 520 patients: 366 (13.6%) in the low group and 154 (17.5%) in the high group. There was significant difference in the MACCE incidence between the low group and high group (P = 0.005). Major adverse cardiac and events (MACE) occurred in 395 patients: 281(10.5%) in the low group and 114 (13.0%) in the high group. There was significant difference in the MACE incidence between the low group and high group (P = 0.041). The multivariate Cox proportional hazards model showed that ADS score was independently correlated with the ACM [adjusted HR = 2.031 (1.357–3.039), P = 0.001]; CM [adjusted HR = 1.883 (1.127–3.147), P = 0.016]; MACCE [adjusted HR = 1.352 (1.096–1.668), P = 0.005], and MACE [adjusted HR = 1.260 (0.987–1.608), P = 0.063].

Conclusion: The present study indicated that the ADS score was associated with long-term mortality, the MACCE, and the MACE in CAD patients underwent PCI.

High-Sensitivity C-Reactive Protein to HDL-C Ratio

Inflammation and lipid signaling are involved in the pathogenesis and progression of coronary artery disease (CAD). We proposed that high-sensitivity C-reactive proteins, as a marker of the pro-inflammatory state, and high-density lipoprotein cholesterol (HDL-C), as an anti-atherosclerosis component, should be integrated into a single novel biomarker. Our work was conducted to discuss and compare the predictive ability of the high-sensitivity C-reactive protein to high-density lipoprotein cholesterol ratio (CHR) with other existing indices, for example, neutrophil high-density lipoprotein ratio (NHR) and neutrophil lymphocyte ratio (NLR), in the severity of CAD patients.Based on the results of coronary angiography, patients were divided into the CAD⁺ group, CAD^- group, and control group. The relationship between various serum markers and the severity of coronary artery disease was examined via Spearman's correlation analysis. Logistic regression analysis was conducted to identify the influencing factors of the coronary artery disease severity.This study included 420 patients. The Gensini score was positively correlated with CHR. Multiple regression analysis revealed that the CHR was significantly associated with CAD. CHR is an independent predictor of CAD. The receiver operating characteristic (ROC) analysis provided a cut-off value of 1.17 for CHR to predict CAD, with a specificity of 86.7%, Yoden index of 0.264, and area under the ROC curve of 0.662 (95% confidence intervals 0.606-0.719, P < 0.001). At the same time, the area under the ROC curve of the NHR was 0.652, and that of the NLR was 0.579. The results of the DeLong test indicated that the area under the ROC curve of the CHR was larger than that of the NLR (P = 0.0306). This suggests that the CHR as a predictor of CAD has better diagnostic performance than the NLR.CHR was not only closely related to the presence and severity of CAD but also an independent predictor of severe CAD.