A Correlation Between Monocyte to Lymphocyte Ratio and Long-Term Prognosis in Patients With Coronary Artery Disease After PCI

Increased monocytes and their derived indicators are associated with clinical severity of acute heart failure following acute myocardial infarction

Objective

Monocytes play a significant role in the pathophysiology of acute myocardial infarction (AMI). The relationship between monocytes, their derived indicators, and the severity of acute heart failure following AMI remains unclear. Therefore, this study aims to investigate the association of monocytes and their derived indicators with clinical severity of acute heart failure in the patients with AMI.

Methods

In total of 173 patients with AMI were enrolled in this retrospective study. The demographic data and relevant medical histories were obtained. Monocytes and lipid levels were measured. All patients were divided into two groups based on killip classification. Killip class III-IV was defined as acute severe heart failure, while killip class I-II was defined as acute non-severe heart failure.

Results

Monocyte count, monocyte-to-white blood cell ratio, and monocyte-to-lymphocyte ratio were significantly higher in patients with acute severe heart failure compared to those with acute non-severe heart failure (P < 0.05). Multivariate logistic regression analysis showed that monocyte count, monocyte-to-white blood cell ratio, and monocyte-to-lymphocyte ratio were independently associated with acute severe heart failure (P < 0.05). Moreover, monocyte count, monocyte-to-white blood cell ratio, and monocyte-to-lymphocyte ratio were linked to NT-proBNP concentrations (P < 0.05). Receiver-operating characteristic curve analysis showed that monocyte count, monocyte-to-white blood cell ratio, and monocyte-to-lymphocyte ratio could identify acute severe heart failure in patients following AMI to some extent (P < 0.05).

Conclusion

The elevation of monocyte count, monocyte-to-white blood cell ratio, and monocyte-to-lymphocyte ratio correlated with clinical severity of acute heart failure following AMI, and offered potential discriminating value for cardiogenic pulmonary edema and shock following AMI.

Lymphocyte-based inflammatory markers: Novel predictors of significant coronary artery disease✰,✰✰

BACKGROUND

Lymphocyte-based inflammatory indices such as monocyte-to-lymphocyte ratio (MLR) have long been recognized as reliable coronary artery disease (CAD) predictors. More recently, novel indices like the Systemic Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI), and Systemic Immune-Inflammation Index (SIIRI) have emerged. These newer markers offer a more comprehensive assessment of inflammation by integrating multiple immune cell types, potentially enhancing the prediction of cardiovascular outcomes.

OBJECTIVES

We evaluated the predictive value of novel inflammatory markers in estimating the pretest probability of severe CAD in high-risk patients.

METHODS

We enrolled consecutive patients undergoing diagnostic coronary angiography in a single tertiary care hospital. Inflammatory markers were calculated based on pre-procedural complete blood count laboratory measurements. Severe CAD was defined as critical (>70 %) and actionable narrowing of a primary coronary artery. Classification performance was assessed using multivariate logistic regression.

RESULTS

The study sample included 363 patients (age 58.9± 11 years, 44.9 % females, 30 % severe CAD). In univariate analysis, MLR, SIRI, and SIIRI were significant predictors of severe CAD, with age- and sex-adjusted OR of 1.98 [1.25-3.14], 1.79 [1.24-2.59], and 1.63 [1.11-2.38], respectively. In multivariate analysis, SIRI remained an independent predictor of severe CAD (OR = 1.98, 95 % CI 1.13-3.46, p = 0.02).

CONCLUSION

Our results suggest that novel inflammatory markers derived from routine blood tests are predictive of severe CAD in high-risk patients. Such simple, practical, and cost-effective inflammatory markers may enhance cardiac risk stratification and prediction of severe CAD.

Correlation of blood lipids, glucose, and inflammatory indices with the occurrence and prognosis of lesion complexity in unstable angina, a retrospective cohort study

Background

In recent years, novel cardiometabolic biomarkers and related pathogenic genes and their heritability have been examined. However, no multitarget predictive evaluation models exist can identify and predict complex lesions in unstable angina (UA) in the early stages before coronary angiography (CAG) or evaluate the prognosis of patients with UA and complex lesions. In this study, we sought to investigate the correlation between blood lipid, glucose, and inflammatory indices and the occurrence and prognosis of UA with complex lesions, and also the risk factors for major adverse cardiocerebrovascular events (MACCEs).

Methods

Patients with UA who underwent percutaneous coronary intervention (PCI) at Chaoyang Hospital between March 2019 and December 2020 were included. Patients with UA who underwent PCI were divided into complex lesion group and noncomplex lesion group according to the CAG results. The blood lipid and glucose levels, inflammatory indices, Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) scores, and clinical outcome events after 3 years follow-up from both groups were calculated.

Results

A total of 523 patients were included, with 248 and 275 patients in the complex and noncomplex lesion groups, respectively. There were no significant differences between the two groups in terms of sex, age, medical history, or demographic characteristics. After 3 years of follow-up, compared with the noncomplex lesion group, the complex lesion group had a higher incidence of target vessel revascularization (TVR) (8.1% vs. 4.0%; P=0.049) and MACCEs (11.7% vs. 5.8%; P=0.02). High remnant lipoprotein cholesterol (RLP-C) level, high small dense low-density lipoprotein cholesterol (sLDL-C) level, high lipoprotein (a) [Lp(a)] level, high high-sensitivity C-reactive protein (hs-CRP) level, low lymphocyte level, low albumin level, and low hs-CRP:albumin ratio (CAR) were found to be risk factors for the occurrence of UA with complex lesions. High RLP-C level, high sLDL-C level, high Lp(a) level, and high neutrophil:lymphocyte ratio (NLR) were independent risk factors for MACCEs in the complex lesion group, from which a new prediction model was created. The area under the curve (AUC) of the new model for predicting MACCEs events after 3 years of follow-up [AUC =0.935; 95% confidence interval (CI): 0.881-0.989] in the complex lesion group was higher than that of the SYNTAX score (AUC =0.671; 95% CI: 0.584-0.757) (P<0.001).

Conclusions

Blood lipid and glucose levels and inflammatory indices may be associated with the occurrence of UA with complex lesions. The new model for UA with complex lesions constructed using high RLP-C level, high sLDL-C level, high Lp(a) level, and high NLR level had a stronger ability to predicts MACCEs during follow-up than did the SYNTAX score. Our findings could enhance early detection of patients with UA and complex lesions, potentially improving prevention and treatment strategies for perioperative UA-PCI patients.

Distinct Immunophenotypes in the DNA Index-Based Stratification of Pediatric B-Cell Acute Lymphoblastic Leukemia

BACKGROUND/OBJECTIVES

B-cell acute lymphoblastic leukemia (B-ALL) presents a challenge in hematological malignancies due to its heterogeneity, which impacts treatment outcomes. Stratification based on the DNA index (DNAi) categorizes patients into favorable prognosis (hyperploid), standard prognosis (normoploid), and uncertain or poor prognosis (hypoploid) groups. In this study, we explored whether specific immunophenotypic markers are associated with each DNAi-based group and their potential connection to prognostic categories, aiming to provide new insights that may contribute to a better understanding of prognosis in B-ALL.

METHODS

In this study, we utilized flow cytometry to analyze immunophenotypic markers and combined this with DNA index (DNAi) measurements to stratify pediatric B-ALL patients into distinct risk categories. Our methodology focused on accurately classifying patients into hyperploid, normoploid, and hypoploid groups based on their DNA content, facilitating a comparative analysis of immunophenotypic characteristics across these groups.

RESULTS

Our analysis revealed that hypoploid B-ALL patients displayed a significantly lower percentage of cells in the S phase of the cell cycle compared to normoploid and hyperploid groups. Additionally, distinct immunophenotypic profiles were observed in hypoploid patients, characterized by higher expression levels of HLA-DR and a notable co-expression of CD34 and CD22.

CONCLUSIONS

This study found that hypoploid B-ALL patients have distinct characteristics, such as lower S-phase cell percentages and specific immunophenotypic profiles, including higher HLA-DR expression and CD34/CD22 co-expression. These differences across DNA index-based prognostic categories warrant further research to explore their potential prognostic significance.

Development and validation of nomograms for predicting cardiovascular disease risk in patients with prediabetes and diabetes

This study aimed to develop and validate distinct nomogram models for assessing CVD risk in individuals with prediabetes and diabetes. In a cross-sectional study design, we examined data from 2294 prediabetes and 1037 diabetics who participated in the National Health and Nutrition Examination Survey, which was conducted in the United States of America between 2007 and 2018. The dataset was randomly divided into training and validation cohorts at a ratio of 0.75-0.25. The Boruta feature selection method was used in the training cohort to identify optimal predictors for CVD diagnosis. A web-based dynamic nomogram was developed using the selected features, which were validated in the validation cohort. The Hosmer-Lemeshow test was performed to assess the nomogram's stability and performance. Receiver operating characteristics and calibration curves were used to assess the effectiveness of the nomogram. The clinical applicability of the nomogram was evaluated using decision curve analysis and clinical impact curves. In the prediabetes cohort, the CVD risk prediction nomogram included nine risk factors: age, smoking status, platelet/lymphocyte ratio, platelet count, white blood cell count, red cell distribution width, lactate dehydrogenase level, sleep disorder, and hypertension. In the diabetes cohort, the CVD risk prediction nomogram included eleven risk factors: age, material status, smoking status, systemic inflammatory response index, neutrophil-to-lymphocyte ratio, red cell distribution width, lactate dehydrogenase, high-density lipoprotein cholesterol, sleep disorder, hypertension, and physical activity. The nomogram models developed in this study have good predictive and discriminant utility for predicting CVD risk in patients with prediabetes and diabetes.

Prognostic significance of inflammation in patients with coronary artery disease at low residual inflammatory risk

Patients with coronary artery disease (CAD) at low residual inflammatory risk are often overlooked in research and practice. This study examined the associations between fourteen inflammatory indicators and all-cause mortality in 5,339 CAD patients with baseline high-sensitivity C-reactive protein (hsCRP) <2 mg/L who received percutaneous coronary intervention and statin and aspirin therapy. The median follow-up time was 2.1 years. Neutrophil-derived systemic inflammatory response index (SIRI) yielded the strongest and most robust association with all-cause mortality among all indicators. Lower hsCRP remained to be associated with a lower risk of all-cause mortality. A newly developed comprehensive inflammation score (CIS) showed better predictive performance than other indicators, which was validated by an independent external cohort. In conclusion, neutrophil-derived indicators, particularly SIRI, strongly predicted all-cause mortality independent of hsCRP in CAD patients at low residual inflammatory risk. CIS may help identify individuals with inflammation burdens that cannot be explained by hsCRP alone.

The Systemic Immune Inflammatory Response Index Can Predict the Clinical Prognosis of Patients with Initially Diagnosed Coronary Artery Disease

Background

Recently, the systemic immune inflammatory response index (SIIRI), a novel and expanded inflammatory response marker, has been an independent predictor of lesion severity in patients with acute coronary syndrome (ACS). However, its predictive role in patients with initially diagnosed coronary artery disease (CAD) remains to be explored.

Patients and Methods

We evaluated 959 patients with CAD undergoing an initial coronary intervention. Each patient had laboratory measurements, including blood cell counts, taken after admission and before interventional treatment. The primary endpoint was major cardiovascular events (MACEs), defined as cardiovascular death, nonfatal myocardial infarction(MI), and nonfatal stroke. The secondary endpoints included MACEs and readmission for congestive heart failure(HF).

Results

During a mean follow-up period of 33.3±9.9 months, 229 (23.9%) MACEs were recorded. ROC curve analysis displayed that the best cut-off value of SIIRI for predicting MACEs was 247.17*1018/L2. Kaplan-Meier survival curve analysis showed that the survival rate of the low SIIRI group was higher than that of the high SIIRI group (P<0.001). Compared with the low SIIRI group, the high SIIRI group had a significantly higher risk of MACEs (187 cases (39.53%) vs.42 patients (8.64%), P<0.001). Univariate and multivariate Cox regression analyses displayed that high SIIRI levels were independently associated with the occurrence of MACEs in patients with initially diagnosed CAD undergoing percutaneous coronary intervention (PCI) (adjusted hazard ratio [HR]: 3.808, 95% confidence interval [CI%]: 2.643-5.486, P<0.001). Adding SIIRI to conventional risk factor models improved the predictive value of MACEs.

Conclusion

Elevated SIIRI is associated with adverse cardiovascular prognosis in patients with initially diagnosed CAD. SIIRI can be a simple and practical index to identify high-risk patients with CAD after PCI.

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.

Associations Between Atherosclerosis and Elevated Serum Alkaline Phosphatase in Patients With Coronary Artery Disease in an Inflammatory State

BACKGROUND AND AIM

Serum alkaline phosphatase (ALP) has been shown to be associated with cardiovascular disease (CVD) risk. Inflammation is the initiator of atherosclerosis, throughout the life of atherosclerosis. This study investigated the relationship between serum ALP and atherosclerosis in patients with coronary artery disease (CAD) in an inflammatory state.

METHODS

This was a multicentre retrospective study including 22,989 patients with CAD. Serum alkaline phosphatase was converted into the quartiles. C-reactive protein (CRP) was assayed as a marker of systemic inflammation. The atherosclerosis index (AI) was used to assess the degree of atherosclerosis. Binary logistic regression was used to analyse the relationship between ALP and AI. Stratified analysis was performed according to sex and age.

RESULTS

Elevated serum ALP was associated with the risk of atherosclerosis in patients with CAD, and after quartiling ALP, the OR for Q4 was 1.17 (95% CI 1.08-1.26; p<0.001) when using Q1 as reference. The odds ratio (OR) for ALP and risk of atherosclerosis was higher in patients aged ≤60 years (OR 1.33, 95% CI 1.15-1.53; p<0.001) than in patients aged >60 years (OR 1.11, 95% CI 1.01-1.23; p<0.05), and higher in males (OR 1.21, 95% CI 1.09-1.35; p<0.001) than in females (OR 1.16, 95% CI 1.03-1.31; p<0.05). Q4 (ALP >83.00 U/L) was significantly associated with increased risk of atherosclerosis in the inflammatory state (OR 1.48, 95% CI 1.18-1.86; p<0.001), and it remained after stratified analysis according to sex and age.

CONCLUSIONS

The risk of atherosclerosis tended to increase with increasing ALP levels and the correlation between ALP and the degree of atherosclerosis was significantly stronger when ALP was >83.00 U/L. This relationship was more pronounced in inflammatory states, and there were sex and age differences.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT04026724.

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.

Predictive Value of Laboratory Indicators for Endoleak During Short-Term Follow-Up After EVAR

BACKGROUND

The aim of this study was to explore the predictive value of endoleak in short-term follow-up after endovascular aortic repair (EVAR) of abdominal aortic aneurysm (AAA) via perioperative laboratory indicators.

METHODS

A retrospective study included 200 consecutive patients who received standard EVAR treatment for AAA and were followed-up for 1 year. Binary logistic regression analysis was used to evaluate the correlation of the level and changes of perioperative laboratory indicators with the endoleak events during the follow-up. The receiver operating characteristic (ROC) curve was used to assess the predictive value of laboratory indicators for endoleak.

RESULTS

A total of 45 cases of endoleak events occurred during follow-up. Binary logistic regression analysis showed that postoperative fibrinogen decrease, perioperative lymphocyte difference and lymphocyte monocyte ratio (LMR) difference were independent risk factors for short term endoleak. The area under the ROC curve (AUC) of postoperative fibrinogen was 0.596, the cut-off value was 284 mg/dl, and the corresponding specificity and sensitivity were 0.644 and 0.568. The AUC of the lymphocyte difference was 0.622, the cut-off value was -0.45 × 10⁹/L, and the corresponding specificity and sensitivity were 0.651 and 0.568. The AUC of the LMR difference was 0.597, the cut-off value was -1.719, and the corresponding specificity and sensitivity were 0.631 and 0.614.

CONCLUSIONS

Decrease of postoperative fibrinogen, increase of lymphocyte difference and LMR difference were independent predictive factors for endoleak in short-term follow-up after EVAR for AAA.

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.

The Predictive Value of Different Nutritional Indices Combined with the GRACE Score in Predicting the Risk of Long-Term Death in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Nutritional status is associated with prognosis in acute coronary syndrome (ACS) patients. Although the Global Registry of Acute Coronary Events (GRACE) risk score is regarded as a relevant risk predictor for the prognosis of ACS patients, nutritional variables are not included in the GRACE score. This study aimed to compare the prognostic ability of the Geriatric Nutritional Risk Index (GNRI) and Prognostic Nutritional Index (PNI) in predicting long-term all-cause death in ACS patients undergoing percutaneous coronary intervention (PCI) and to determine whether the GNRI or PNI could improve the predictive value of the GRACE score. A total of 799 patients with ACS who underwent PCI from May 2018 to December 2019 were included and regularly followed up. The performance of the PNI in predicting all-cause death was better than that of the GNRI [C-index, 0.677 vs. 0.638, p = 0.038]. The addition of the PNI significantly improved the predictive value of the GRACE score for all-cause death [increase in C-index from 0.722 to 0.740; IDI 0.006; NRI 0.095; p < 0.05]. The PNI was superior to the GNRI in predicting long-term all-cause death in ACS patients undergoing PCI. The addition of the PNI to the GRACE score could significantly improve the prediction of long-term all-cause death.

Prognostic Impact of Multiple Lymphocyte-Based Inflammatory Indices in Acute Coronary Syndrome Patients

Background

The aim of this study was to evaluate the prognostic values of five lymphocyte-based inflammatory indices (platelet-lymphocyte ratio [PLR], neutrophil-lymphocyte ratio [NLR], monocyte-lymphocyte ratio [MLR], systemic immune inflammation index [SII], and system inflammation response index [SIRI]) in patients with acute coronary syndrome (ACS).

Methods

A total of 1,701 ACS patients who underwent percutaneous coronary intervention (PCI) were included in this study and followed up for major adverse cardiovascular events (MACE) including all-cause death, non-fatal ischemic stroke, and non-fatal myocardial infarction. The five indices were stratified by the optimal cutoff value for comparison. The association between each of the lymphocyte-based inflammatory indices and MACE was assessed by the Cox proportional hazards regression analysis.

Results

During the median follow-up of 30 months, 107 (6.3%) MACE were identified. The multivariate COX analysis showed that all five indices were independent predictors of MACE, and SIRI seemingly performed best (Hazard ratio [HR]: 3.847; 95% confidence interval [CI]: [2.623–5.641]; p < 0.001; C-statistic: 0.794 [0.731–0.856]). The addition of NLR, MLR, SII, or SIRI to the Global Registry of Acute Coronary Events (GRACE) risk score, especially SIRI (C-statistic: 0.699 [0.646–0.753], p < 0.001; net reclassification improvement [NRI]: 0.311 [0.209–0.407], p < 0.001; integrated discrimination improvement [IDI]: 0.024 [0.010–0.046], p < 0.001), outperformed the GRACE risk score alone in the risk predictive performance.

Conclusion

Lymphocyte-based inflammatory indices were significantly and independently associated with MACE in ACS patients who underwent PCI. SIRI seemed to be better than the other four indices in predicting MACE, and the combination of SIRI with the GRACE risk score could predict MACE more accurately.