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

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.