Systemic immune-inflammation index predicts no-reflow phenomenon after primary percutaneous coronary intervention

Association of the systemic immune-inflammation index with clinical outcomes in acute myocardial infarction patients with hypertension

BACKGROUND

A new indicator of immunological and inflammatory condition, the Systemic Immunoinflammatory Index (SII), has been linked to a bad prognosis in a number of disorders.

METHODS

Two thousand three hundred seventeen ICU patients were admitted with hypertension and acute myocardial infarction (AMI). Patients were grouped according to their baseline SII tertile number into Q1, Q2, and Q3 groups. The main outcomes were death from all causes at 30 days, 365 days, cardiogenic shock, and congestive heart failure.

RESULTS

The case fatality rate increases with increasing SII. The correlation between SII and 30-day all-cause mortality [hazard ratio (HR) 1.765, 95% confidence interval (CI) 1.330-2.343 (Q3 versus Q1 group)], 365-day all-cause mortality [HR 2.713, 95% CI 2.250-3.272 (Q3 versus Q1 group), HR 1.603, 95% CI 1.312-1.959 (Q3 vs. Q1 group)], congestive heart failure [odds ratio (OR) 1.255, 95% CI 1.006-1.565 (Q2 vs. Q1 group), OR 1.565, 95% CI 1.220-2.009 (Q3 vs. Q1 group)] and cardiogenic shock [OR 1.930. 95% CI 1.271-2.974 (Q2 vs. Q1 group)] were all validated. According to subgroup analysis, individuals who had chosen to have CABG surgery had a stronger correlation between SII and a worse outcome. According to Kaplan-Meier (K-M) survival curves, patients in the Q3 group with SII had the highest rates of morbidity and death. The RCS curves demonstrated an essentially linear connection between SII and 30 days, 365 days, and congestive heart failure even after controlling for covariates.

CONCLUSIONS

SII was substantially correlated with 30-day all-cause mortality, 365-day all-cause mortality, in-hospital congestive heart failure, and cardiogenic shock in patients who had both hypertension and acute myocardial infarction. In individuals with acute myocardial infarction and hypertension, a greater SII would be regarded as an independent risk factor for a higher death rate.

Evaluation of Hematological and Biochemical Parameters that Predict the No-reflow Phenomenon in Patients Undergoing Primary Percutaneous Coronary Intervention

Acute coronary syndromes (ACS) are one of the most common causes of morbidity and mortality worldwide. Primary percutaneous coronary intervention (pPCI) is the main treatment strategy to restore myocardial perfusion. However, the no-reflow phenomenon (NRP) may block coronary flow. The present study focused on assessing and contrasting predictive parameters for NRP in ACS patients. Our research is a retrospective analysis. We assessed the parameters significantly associated with NRP using Cox regression and Receiver operating characteristic (ROC) Curve analysis. The study included 5122 patients who met the criteria. The average age of the patients was 63.9 + 13.2, and 74.4% were male. It was observed that NRP developed in 1.8% of all patients. Age, hemoglobin (Hb), white blood cell (WBC), glucose and low density lipoprotein cholesterol (LDL-C) were determined to be independent predictors of NRP. The power of these parameters to predict NRP was similar, and WBC was the most predictive (Area Under Curve (AUC): 0.605 95% CI: 0.539-0.671, P = .001). We believe that the use of these simple, practical, and routinely used hematological and biochemical parameters will help us predict the risk of developing NRP before pPCI. This information should improve management.

Newly defined biomarker for the no reflow phenomenon in patients with non-ST elevation acute coronary syndrome; uric acid to creatinine ratio

BACKGROUND

The present study aimed to investigate whether newly defined serum uric acid (SUA) to serum creatinine ratio (SUA/SCr) predicts no-reflow phenomenon (NRP) development in patients with non-ST-elevated acute coronary syndrome (NSTE-ACS).

METHODS

The study group was divided into two groups: those who developed NRP and those who did not. Complete blood counts, SUA, serum creatinine, C-reactive protein (CRP) and albumin were obtained at admission. The SUA/SCr, SUA to albumin ratio (UAR), C-reactive protein to albumin ratio (CAR) and systemic immune inflammation (SII) index values of all patients were calculated and their relationships with NRP were evaluated.

RESULTS

Patients with NRP had higher mean SUA/SCr ratio (7.19 ± 2.14 vs 5.30 ± 1.70, p < 0.001), mean UAR (1.73 ± 0.69 vs 1.38 ± 0.47, p < 0.001), median CAR (1.73 vs 1.54, p = 0.002), and median SII index (861.9 vs 730.9, p = 0.015) levels than in those who did not develop NRP. According to multivariant analysis models, SUA/SCr ratio, UAR, CAR and SII index were found to be independent predictors of NRP development (p < 0.05 for all) but only the area under the curve (AUC) for SUA/SCr ratio (AUC = 0.73, p < 0.001) was above the 0.70 proficiency level, performing markedly better than the other evaluated parameters. A SUA/SCr ratio ≥5.34 predicted the NRP with 75% sensitivity and 55% specificity.

CONCLUSION

SUA/SCr ratio can be used as a reliable marker in prediction the development of NRP in NSTE-ACS patients.

Prognostic value of inflammatory markers for all-cause mortality in patients with acute myocardial infarction in the coronary care unit: a retrospective study based on MIMIC-IV database

Background

Acute myocardial infarction (AMI) is prevalent and perilous, leading to mortality and disability in the coronary care unit (CCU). This paper was to verify the correlation of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and systemic inflammation response index (SIRI) with all-cause mortality for AMI patients in the CCU.

Methods

Adult patients diagnosed with AMI and admitted to CCU were selected from the MIMIC-IV database. Various clinical and laboratory data were extracted. Logistic regression models were employed to determine the correlation between NLR and in-hospital mortality, 30-day mortality, and 90-day mortality. Confounding factors were adjusted to validate the result robustness. Restricted cubic spline (RCS) curves were adopted to analyze the potential correlation between NLR and all-cause mortality. Meanwhile, the area under the receiver operating characteristic (ROC) curve (AUC) was utilized to compare the prediction ability of NLR, SII, PLR, and SIRI in all-cause mortality. Subsequently, subgroup analyses of gender and comorbidities were performed.

Results

1,386 AMI patients in the CCU were enrolled. The NLR was non-linearly and positively associated with in-hospital mortality [Q4: OR (95%CI) 2.61; (1.261-5.626), p = 0.012], 30-day mortality [Q4: OR (95%CI) 2.005; (1.048-3.925); p = 0.038], 90-day mortality [Q4: OR (95%CI) 2.191; (1.235-3.948); p = 0.008] with Q1 as the reference group. The NLR had the highest AUC for in-hospital mortality, 30-day mortality, and 90-day mortality among four inflammatory markers (NLR, SII, PLR, SIRI). Stratified analyses based on gender and comorbidities showed that the risk of death was significantly increased in male and female patients, with or without diabetes, without cerebral infarction, chronic obstructive pulmonary disease, liver disease, and renal disease in the Q4 group when compared to the Q1 group.

Conclusions

NLR is nonlinearly and positively associated with all-cause mortality of AMI patients in the CCU. The predictive ability of NLR in in-hospital mortality, 30-day mortality, and 90-day mortality is superior to that of SII, PLR, and SIRI.

The systemic immune-inflammation index and systemic inflammation response index are useful for predicting mortality in patients with diabetic nephropathy

BACKGROUND

This study investigated the correlation between the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI) and all-cause, cardiovascular, and kidney disease mortality in patients with diabetic nephropathy (DN). It aimed to provide a new predictive assessment tool for the clinic and a scientific basis for managing inflammation in DN.

METHODS

The data utilized in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, spanning 1999 to 2018. A total of 2641 patients diagnosed with DN were included in the analysis. The association between SII and SIRI levels and mortality in patients with DN was investigated using multivariate Cox proportional risk regression models. These relationships were further validated by Kaplan-Meier survival curves and restricted cubic spline (RCS) modeling, and subgroup analyses were performed to explore the heterogeneity among different characteristic subgroups.

RESULTS

The multivariate Cox regression analysis indicated that SII and SIRI levels were independently associated with all-cause mortality and cardiovascular mortality in patients with DN. SIRI levels were found to be an independently associated factor with kidney disease mortality in patients with DN. Patients in the highest quartile of SII and SIRI exhibited a 1.49-fold and 1.62-fold increased risk of all-cause mortality, respectively, compared to patients in the lowest quartile. The risk of cardiovascular mortality was 1.31 and 1.73 times higher than that in patients in the lowest quartile, respectively. The risk of kidney disease mortality in patients in the highest quartile of SIRI was 2.74 times higher than that in patients in the lowest quartile. Kaplan-Meier survival curve and RCS analyses further confirmed the positive association between SII and SIRI and mortality and a significant nonlinear relationship between SII and all-cause mortality. The SII and SIRI indices offer incremental value in model predictive power for mortality in patients with DN. Subgroup analyses demonstrated that the correlation between SII and SIRI and mortality risk was stable but heterogeneous across different subgroups.

CONCLUSION

SII and SIRI can be utilized as biomarkers for forecasting the likelihood of all-cause and cardiovascular mortality in patients with DN.

Inflammation index in failure of delay functional independence after successful recanalization

BACKGROUND

Failure of delayed neurological improvement (fDNI) following successful recanalization is a prevalent clinical phenomenon in patients who have experienced acute ischemic stroke (AIS). An investigation into the potential link between markers of systemic inflammation such as platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index known as SII, and the occurrence of fDNI in patients received successful reperfusion was conducted.

METHODS

The study included patients diagnosed with AIS who underwent thrombectomy and experienced fDNI, as observed in a prospective study conducted from January 2017 to April 2020. In order to identify predictors of fDNI, we performed multivariable logistic regression and receiver operating characteristic (ROC) curve.

RESULTS

Eighty-four patients (23.86%) without early neurological improvement (ENI) experienced DNI, and 268 (76.14%) patients did not show DNI. After adjustment for potential confounders, NLR (adjust OR, 2.131; 95%CI, 1.066-4.259; p = 0.032) and SII (adjust OR, 1.065; 95%CI, 1.001-1.132, p = 0.045) exhibited independent reationship with fDNI independently in multivariate analysis. The areas under AUC of multivariable NLR and SII mode were 0.862 and 0.861, respectively.

CONCLUSIONS

The immune-inflammatory biomarkers, including NLR and SII, exhibited associations with DNI in patients without ENI. Further investigations are warranted to elucidate the underlying mechanisms.

Development and Validation of Nomogram Based on the Systemic-Immune Inflammation Response Index for Predicting Contrast-Induced Nephropathy in ST-Elevation Myocardial Infarction Patients

Contrast-induced nephropathy (CIN) is a prominent complication of ST-elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (pPCI). The systemic immune inflammation response index (SIIRI) is a novel inflammatory marker developed by multiplying the monocyte count by the systemic immune inflammation index (SII) and is associated with coronary artery disease severity. We investigated the predictive ability of SIIRI for detecting CIN in STEMI patients (n = 2289) following pPCI and developed a nomogram based on SIIRI for risk stratifying. CIN was diagnosed based on an elevation in baseline creatinine levels >.5 mg/dL or 25% within 72 h after pPCI; 219 CIN (+) and 2070 CIN (-) patients were included. CIN (+) patients had higher SIIRI than CIN (-) patients and SIIRI was an independent predictor of CIN. A nomogram based on SIIRI had good calibration and discrimination abilities for predicting CIN development. SIIRI was superior to SII in discriminating CIN (+) patients. Adding SIIRI to the baseline model, which consists of age, hypertension, hemoglobin, estimated glomerular filtration rate, albumin, ejection fraction, lesion length, and pain-to-balloon time, had a higher discriminative ability and benefit in detecting CIN (+) patients than baseline model as assessed by decision curve analysis.

Association Between Systemic Immune-Inflammation Index and Adverse Outcomes in Patients With Acute Coronary Syndrome: A Meta-Analysis

The systemic immune-inflammation index (SII) has been developed for the risk prognostication of acute coronary syndrome (ACS) patients. This meta-analysis aimed to assess the value of SII for predicting adverse outcomes in ACS patients. Relevant studies were identified by searching the PubMed, Web of Science, and Embase databases. Studies that investigated the association of SII with all-cause mortality or major adverse cardiovascular events (MACEs) in ACS patients were eligible. The short-term outcomes were defined as adverse events occurring during the hospital and within 30 days. 11 studies with 16,596 patients were eligible for analysis. A random effect meta-analysis indicated that a higher SII level significantly predicted short-term death (hazard ratios [HR] 2.60; 95% confidence intervals [CI] 1.29-5.25) and long-term all-cause mortality (HR 2.40; 95% CI 1.25-4.59), even after adjusting for traditional confounding factors. Additionally, a higher SII level was also significantly associated with an increased risk of short-term MACEs (HR 1.61; 95% CI 1.28-2.03) and long-term MACEs (HR 2.43; 95% CI 1.74-3.40). These findings suggest that SII level has a strong prognostic value for both MACEs and all-cause mortality in patients with ACS. Determining the SII level has the potential to improve risk prognostication in ACS patients.

Correlations Between Acute Coronary Syndrome and Novel Inflammatory Markers (Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Aggregate Index of Systemic Inflammation) in Patients with and without Diabetes or Prediabetes

Purpose

Type 2 diabetes mellitus (DM) is a recognized independent risk factor for both chronic coronary syndrome (CCS) and its complication, acute coronary syndrome (ACS). Patients with DM and prediabetes (preDM) face an increased ACS risk. Inflammation plays a significant role in the pathogenesis of both CCS and ACS. This study delves into novel inflammatory markers, such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI, also known as SIIRI or PIV), to explore their relationship with ACS and CCS in patients that have been or have not been diagnosed with DM or preDM.

Patients and Methods

This study included data of 493 patients with chest pain undergoing coronary angiography. They were categorized into four groups: 1) without DM/preDM and with CCS; 2) with both DM/preDM and CCS; 3) without DM/preDM and with ACS, 4) with both DM/preDM and ACS. Standard methods of statistical analysis were used to reveal possible differences between groups and to find the most influential ACS risk factors in groups with DM/preDM and without DM/preDM.

Results

The analysis showed no significant differences in SII, SIRI, or AISI between the respective patient groups. A logistic regression analysis generated a model incorporating SII, high-density lipoprotein, and low-density lipoprotein levels as the influential ACS risk factors for patients with DM/preDM. The model demonstrated 71.0% accuracy, 37.0% sensitivity, and 89.4% specificity.

Conclusion

The findings suggest that the aforementioned inflammatory markers may have potential for distinguishing DM/preDM patients at higher risk of ACS at a low financial cost. However, further comprehensive and well-designed research is required to validate their clinical utility.

The Predictive Value of the Inflammatory Prognostic Index for Detecting No-Reflow in ST-Elevation Myocardial Infarction Patients

BACKGROUND

No-reflow (NR) is characterized by an acute reduction in coronary flow that is not accompanied by coronary spasm, thrombosis, or dissection. Inflammatory prognostic index (IPI) is a novel marker that was reported to have a prognostic role in cancer patients and is calculated by neutrophil/lymphocyte ratio (NLR) multiplied by C-reactive protein/albumin ratio.

OBJECTIVE

We aimed to investigate the relationship between IPI and NR in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (pPCI).

METHODS

A total of 1541 patients were enrolled in this study (178 with NR and 1363 with reflow). Lasso panelized shrinkage was used for variable selection. A nomogram was created based on IPI for detecting the risk of NR development. Internal validation with Bootstrap resampling was used for model reproducibility. A two-sided p-value <0.05 was accepted as a significance level for statistical analyses.

RESULTS

IPI was higher in patients with NR than in patients with reflow. IPI was non-linearly associated with NR. IPI had a higher discriminative ability than the systemic immune-inflammation index, NLR, and CRP/albumin ratio. Adding IPI to the baseline multivariable logistic regression model improved the discrimination and net-clinical benefit effect of the model for detecting NR patients, and IPI was the most prominent variable in the full model. A nomogram was created based on IPI to predict the risk of NR. Bootstrap internal validation of nomogram showed a good calibration and discrimination ability.

CONCLUSION

This is the first study that shows the association of IPI with NR in STEMI patients who undergo pPCI.

No-Reflow Prediction in Acute Coronary Syndrome During Percutaneous Coronary Intervention: The NORPACS Risk Score

BACKGROUND

Suboptimal coronary reperfusion (no reflow) is common in acute coronary syndrome percutaneous coronary intervention (PCI) and is associated with poor outcomes. We aimed to develop and externally validate a clinical risk score for angiographic no reflow for use following angiography and before PCI.

METHODS

We developed and externally validated a logistic regression model for prediction of no reflow among adult patients undergoing PCI for acute coronary syndrome using data from the Melbourne Interventional Group PCI registry (2005-2020; development cohort) and the British Cardiovascular Interventional Society PCI registry (2006-2020; external validation cohort).

RESULTS

A total of 30 561 patients (mean age, 64.1 years; 24% women) were included in the Melbourne Interventional Group development cohort and 440 256 patients (mean age, 64.9 years; 27% women) in the British Cardiovascular Interventional Society external validation cohort. The primary outcome (no reflow) occurred in 4.1% (1249 patients) and 9.4% (41 222 patients) of the development and validation cohorts, respectively. From 33 candidate predictor variables, 6 final variables were selected by an adaptive least absolute shrinkage and selection operator regression model for inclusion (cardiogenic shock, ST-segment-elevation myocardial infarction with symptom onset >195 minutes pre-PCI, estimated stent length ≥20 mm, vessel diameter <2.5 mm, pre-PCI Thrombolysis in Myocardial Infarction flow <3, and lesion location). Model discrimination was very good (development C statistic, 0.808; validation C statistic, 0.741) with excellent calibration. Patients with a score of ≥8 points had a 22% and 27% risk of no reflow in the development and validation cohorts, respectively.

CONCLUSIONS

The no-reflow prediction in acute coronary syndrome risk score is a simple count-based scoring system based on 6 parameters available before PCI to predict the risk of no reflow. This score could be useful in guiding preventative treatment and future trials.

The Associations of Two Novel Inflammation Biomarkers, SIRI and SII, with Mortality Risk in Patients with Chronic Heart Failure

Background

The associations of two novel inflammation biomarkers, systemic inflammation response index (SIRI) and systemic immune inflammation index (SII), with mortality risk in patients with chronic heart failure (CHF) are not well-characterized.

Methods

This retrospective cohort study included patients with CHF in two medical centers of Chinese People's Liberation Army General Hospital, Beijing, China. The outcomes of this study included in-hospital mortality and long-term mortality. Associations of SIRI and SII with mortality were assessed using multivariable regressions and receiver operating characteristic (ROC) analyses.

Results

A total of 6232 patients with CHF were included in the present study. We documented 97 cases of in-hospital mortality and 1738 cases of long-term mortality during an average 5.01-year follow-up. Compared with patients in the lowest quartile of SIRI, those in the highest quartile exhibited 134% higher risk of in-hospital mortality (adjusted odds ratio, 2.34; 95% confidence interval [CI], 1.16-4.72) and 45% higher risk of long-term mortality (adjusted hazard ratio, 1.45; 95% CI, 1.25-1.67). Compared with patients in the lowest quartile of SII, those in the highest quartile exhibited 27% higher risk of long-term mortality (adjusted hazard ratio, 1.27; 95% CI, 1.11-1.46). In ROC analyses, SIRI showed better prognostic discrimination than C-reactive protein (area under the curve: 69.39 vs 60.91, P = 0.01, for in-hospital mortality; 61.82 vs 58.67, P = 0.03, for 3-year mortality), whereas SII showed similar prognostic value with C-reactive protein.

Conclusion

SIRI and SII were significantly associated with mortality risk in patients with CHF. SIRI may provide better prognostic discrimination than C-reactive protein.

The prognostic value of dynamic changes in SII for the patients with STEMI undergoing PPCI

BACKGROUND

Predicting the prognosis of primary percutaneous coronary intervention(PPCI) in ST-segment elevation myocardial infarction (STEMI) patients in the perioperative period is of great clinical significance. The inflammatory response during the perioperative period is also an important factor. This study aimed to investigate the dynamic changes in the systemic immune inflammatory index (SII) during the perioperative period of PPCI and evaluate its predictive value for in-hospital and out-of-hospital outcomes in patients with STEMI.

METHODS

This retrospective study included 324 consecutive patients with STEMI who were admitted to the cardiac care unit. Blood samples were collected before PPCI, 12 h (T1), 24 h, 48 h after PPCI, the last time before hospital discharge (T2), and 1 month after hospital discharge. The SII was calculated as (neutrophils×platelets)/lymphocytes. Based on whether the primary endpoint occurred, we divided the patients into event and non-event groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors that might influence the occurrence of the primary endpoint. Dynamic curves of SII were plotted, and receiver operating characteristic (ROC) curves were drawn for each node to calculate the optimal critical value, sensitivity, and specificity to assess their predictive ability for in-hospital and out-of-hospital courses. Kaplan-Meier curves were used to analyze the differences in survival rates at different SII inflammation levels.

RESULTS

High levels of SII were individually related to the occurrence of the in-hospital period and long-term outcomes during the post-operative follow-up of STEMI patients (in-hospital SII: T1:OR 1.001,95%CI 1.001-1.001, P < 0.001; SII following hospital discharge: T1M: OR 1.008,95%CI 1.006-1.010, P < 0.001). Patients with high SII levels had lower survival rates than those with low SII levels. The analysis showed that the SII 12 h after (T1) and SII 1 month (T1M) had excellent predictive values for the occurrence of in-hospital and out-of-hospital outcomes, respectively (AUC:0.896, P < 0.001; AUC:0.892, P < 0.001).

CONCLUSION

There is a significant relationship between the dynamic status of SII and prognosis in patients with STEMI. This study found that the 12 h and SII 1 month affected in-hospital and out-of-hospital outcomes, respectively. Consequently, we focused on the dynamic changes in the SII.

Pathophysiology of Red Blood Cell Trapping in Ischemic Acute Kidney Injury

Red blood cell (RBC) trapping describes the accumulation of RBCs in the microvasculature of the kidney outer medulla that occurs following ischemic acute kidney injury (AKI). Despite its prominence in human kidneys following AKI, as well as evidence from experimental models demonstrating that the severity of RBC trapping is directly correlated with renal recovery, to date, RBC trapping has not been a primary focus in understanding the pathogenesis of ischemic kidney injury. New evidence from rodent models suggests that RBC trapping is responsible for much of the tubular injury occurring in the initial hours after kidney reperfusion from ischemia. This early injury appears to result from RBC cytotoxicity and closely reflects the injury profile observed in human kidneys, including sloughing of the medullary tubules and the formation of heme casts in the distal tubules. In this review, we discuss what is currently known about RBC trapping. We conclude that RBC trapping is likely avoidable. The primary causes of RBC trapping are thought to include rheologic alterations, blood coagulation, tubular cell swelling, and increased vascular permeability; however, new data indicate that a mismatch in blood flow between the cortex and medulla where medullary perfusion is maintained during cortical ischemia is also likely critical. The mechanism(s) by which RBC trapping contributes to renal functional decline require more investigation. We propose a renewed focus on the mechanisms mediating RBC trapping, and RBC trapping-associated injury is likely to provide important knowledge for improving AKI outcomes. © 2024 American Physiological Society. Compr Physiol 14:5325-5343, 2024.

Association between pan-immune-inflammation value and no-reflow in patients with ST elevation myocardial infarction undergoing percutaneous coronary intervention

Noreflow is a condition associated with a poor prognosis in ST segment elevation myocardial infarction patients. It has been shown that many inflammatory markers and index such as procalcitonin, C-reactive protein, neutrophil to lymphocyte ratio, systemic immune inflammatory index (SII), are associated with noreflow. We used a brand-new index pan-immune-inflammation value (PIV) to retrospectively evaluate the relationship between PIV and noreflow. A total of 1212 patients were included for analysis. Noreflow was observed in 145 patients. In multivariate analysis, PIV (odds ratio (OR): 1.025; [1.002-1.115], p < 0.001), baseline ejection fraction (OR: 0.963; [0.934-0.993], p = 0.015), stent length (OR: 1.032; [1.010-1.054], p = 0.004), age (OR: 1.034; [1.014-1.053], p = 0.001) and pain to PCI time (OR: 1.003 [1.002-1.005], p < 0.001) were observed to be the independent predictors of noreflow. ROC curve analysis showed that the best cut off value of PIV for predicting noreflow was ≥889 with 77.2% sensitivity and 77.5% specificity (AUC, 0.828; 95% CI [0.806-0.849]). A ROC curve comparison analysis was performed to compare PIV and SII. The predictive power of PIV was higher than SII (differences between areas: 0.154; p < 0.001). According to our findings, an increase in PIV is an independent predictor of noreflow in patients with STEMI.

Coronary No-Reflow after Primary Percutaneous Coronary Intervention-Current Knowledge on Pathophysiology, Diagnosis, Clinical Impact and Therapy

Coronary no-reflow (CNR) is a frequent phenomenon that develops in patients with ST-segment elevation myocardial infarction (STEMI) following reperfusion therapy. CNR is highly dynamic, develops gradually (over hours) and persists for days to weeks after reperfusion. Microvascular obstruction (MVO) developing as a consequence of myocardial ischemia, distal embolization and reperfusion-related injury is the main pathophysiological mechanism of CNR. The frequency of CNR or MVO after primary PCI differs widely depending on the sensitivity of the tools used for diagnosis and timing of examination. Coronary angiography is readily available and most convenient to diagnose CNR but it is highly conservative and underestimates the true frequency of CNR. Cardiac magnetic resonance (CMR) imaging is the most sensitive method to diagnose MVO and CNR that provides information on the presence, localization and extent of MVO. CMR imaging detects intramyocardial hemorrhage and accurately estimates the infarct size. MVO and CNR markedly negate the benefits of reperfusion therapy and contribute to poor clinical outcomes including adverse remodeling of left ventricle, worsening or new congestive heart failure and reduced survival. Despite extensive research and the use of therapies that target almost all known pathophysiological mechanisms of CNR, no therapy has been found that prevents or reverses CNR and provides consistent clinical benefit in patients with STEMI undergoing reperfusion. Currently, the prevention or alleviation of MVO and CNR remain unmet goals in the therapy of STEMI that continue to be under intense research.

Relationship between systemic immune-inflammation index and no-reflow in percutaneous coronary intervention for saphenous grafts

Objective: In this study, we investigated the occurrence of no-reflow (NR) in percutaneous coronary intervention (PCI) for saphenous vein grafts (SVGs) and its relationship with a new systemic immune-inflammation index (SII) that determines inflammation. Methods: We studied 303 patients with acute coronary syndrome without ST elevation who underwent PCI for SVG disease. Results: NR formation during SVG PCI was significantly higher in patients with high SII (p < 0.001). NR occurrence was 12.8% when SII was ≤548 and 41.9% when SII was >548. Conclusion: Our study is the first to investigate SII as the state of inflammation and its effect on the SVG PCI. Patients with higher SII have a higher risk of NR during an SVG for PCI.

Hematocytological, biochemical, and hemostasis parameters' role in predicting the possibility of the various forms of the COVID-19 course in hospitalized Ukrainian patients: A cross-sectional study

Background and Aims

The main objective of this study is to establish the characteristics of blood laboratory parameters in hospitalized coronavirus disease 2019 (COVID-19) Ukrainian patients and the significance of the above-mentioned parameters for predicting the course of the disease.

Methods

Hematocytological, biochemical, and hemostasis methods of research have been used. Groups of patients with different forms of the coronavirus disease course have been analyzed (lethality - recovery, recovery with a severe and mild course).

Results and Conclusion

Age is one of the risk factors for COVID-19 mortality. Absolute values of neutrophils, neutrophil-lymphocyte ratio (NLR), systemic inflammation index, d-dimer, C-reactive protein, and soluble fibrin complex can be used by clinicians to effectively differentiate between two possible outcomes (lethality vs. recovery). A higher number of stab leukocytes, d-NLR, and platelets concentration have been recorded in patients with severe COVID-19 cases, compared to mild ones. The risk of adverse COVID-19 outcome (lethality) is significantly linked with d-dimer and NLR (odds ratio 1.42). The risk of a severe course of the disease was significantly associated with the count of leukocytes (odds ratio 4.96).

The Systemic Immune-Inflammation Index Predicts Impaired Myocardial Perfusion and Short-Term Mortality in ST-Segment Elevation Myocardial Infarction Patients

In this study, we aimed to evaluate the utility of the immune-inflammation index (SII) in estimating the no-reflow phenomenon and short-term cardiovascular prognosis in patients with ST-segment elevation myocardial infarction (STEMI). 723 consecutive patients with STEMI who underwent primary percutaneous coronary intervention (PCI) were enrolled in our study. The receiver-operating characteristics (ROC) curve was used to determine the cut-off value of SII to predict the no-reflow. The multivariate regression analysis analyzed the correlation between no-reflow and SII. The median value of SII was significantly higher in patients with no-reflow in comparison with normal reperfusion [1466 (939-2409) vs 905 (566-1379), p < .001]. The optimal threshold for SII in predicting the no-reflow phenomenon was 1036, with sensitivity and specificity of 70% and 59%, respectively. The area under the ROC curve (AUC) was 0.71 (95% CI, 0.66-0.75, p < .001). In multivariate analysis, SII ≥ 1036 value showed an independent predictive value for the no-reflow (OR = 0.51, 95% CI: 0.29-0.92, p = .02) and the 30-day cardiovascular mortality (OR = 2.37, 95% CI: 1.34-4.19, p = .003). Our results suggest that higher SII levels are independently associated with the no-reflow phenomenon and 30-day mortality in STEMI patients undergoing primary PCI.

Association of the Systemic Immune-Inflammation Index with Outcomes in Acute Coronary Syndrome Patients with Chronic Kidney Disease

Background

The systemic immune-inflammation index (SII; neutrophil × platelet/lymphocyte) is a novel marker for immune and inflammatory status and is associated with adverse prognosis in cardiovascular disease.

Methods

In total, 744 patients diagnosed with acute coronary syndrome (ACS) and chronic kidney disease (CKD) were included in our study, received standard therapies, and were followed up. Patients were divided into high and low SII groups according to the baseline SII. The primary endpoint was major cardiovascular events (MACEs), defined as cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During a median follow-up of 2.5 years, a total of 185 (24.9%) MACEs were recorded. Analysis of the ROC curve revealed that the best cutoff value of SII was 1159.84×10⁹/L for predicting MACEs. The Kaplan-Meier analysis showed that those patients in the low SII group had higher survival rates than those in the high SII group (p < 0.001). Compared to those in the low SII group, patients in the high SII group were at significantly higher risk of MACEs (134 (38.8%) vs 51 (12.8%), p < 0.001). Univariate and multivariable Cox regression analyses revealed that a high SII level was independently associated with MACEs in ACS patients with CKD (adjusted hazard ratio [HR]: 1.865, 95% confidence interval [CI]: 1.197-2.907, p = 0.006).

Conclusion

The present study showed that an elevated SII is associated with adverse cardiovascular outcomes in ACS with CKD patients, suggesting that SII may be a valuable predictor of poor prognosis in ACS with CKD patients. Further studies are needed to confirm our findings.

Measurement of Uncertainty in Prediction of No-Reflow Phenomenon after Primary Percutaneous Coronary Intervention Using Systemic Immune Inflammation Index: The Gray Zone Approach

Systemic immune-inflammation index (SII), which is a good predictive marker for coronary artery disease, can be calculated by using platelet, neutrophil, and lymphocyte counts. The no-reflow occurrence can also be predicted using the SII. The aim of this study is to reveal the uncertainty of SII for diagnosing ST-elevation myocardial infarction (STEMI) patients who were admitted for primary percutaneous coronary intervention (PCI) for the no-reflow phenomenon. A total of 510 consecutive acute (STEMI) patients with primary PCI were reviewed and included retrospectively. For diagnostic tests which are not a gold standard, there is always an overlap between the results of patients with and without a certain disease. In the literature, for quantitative diagnostic tests where the diagnosis is not certain, two approaches have been proposed, named "grey zone" and "uncertain interval". The uncertain area of the SII, which is given the general term "gray zone" in this article, was constructed and its results were compared with the "grey zone" and "uncertain interval" approaches. The lower and upper limits of the gray zone were found to be 611.504-1790.827 and 1186.576-1565.088 for the grey zone and uncertain interval approaches, respectively. A higher number of patients inside the gray zone and higher performance outside the gray zone were found for the grey zone approach. One should be aware of the differences between the two approaches when making a decision. The patients who were in this gray zone should be observed carefully for detection of the no-reflow phenomenon.

The Systemic Immune Inflammatory Index Predicts No-Reflow Phenomenon after Primary Percutaneous Coronary Intervention in Older Patients with STEMI

Purpose: Coronary no-reflow phenomenon (NRP), a common adverse complication in patients with ST-segment elevation myocardial infarction (STEMI) treated by percutaneous coronary intervention (PCI), is associated with poor patient prognosis. In this study, the correlation between the systemic immune-inflammation index (SII) and NRP in older patients with STEMI was studied, to provide a basis for early identification of high-risk patients and improve their prognosis.

Materials and methods: Between January 2017 and June 2020, 578 older patients with acute STEMI admitted to the Department of Cardiology of Hebei General Hospital for direct PCI treatment were selected for this retrospective study. Patients were divided into an NRP group and normal-flow group according to whether NRP occurred during the operation. Clinical data and the examination indexes of the two groups were collected. Logistic regression was used to analyze the independent predictors of NRP, and the receiver operating characteristic curve was used to further analyze the ability of SII to predict NRP in older patients with STEMI.

Results: Multivariate logistic analysis indicated that hypertension (OR=2.048, 95% CI:1.252–3.352, P=0.004), lymphocyte count (OR=0.571, 95% CI:0.368–0.885, P=0.012), platelet count (OR=1.009, 95% CI:1.005–1.013, P<0.001), hemoglobin (OR=1.015, 95% CI:1.003–1.028, P=0.018), multivessel disease (OR=2.237, 95% CI:1.407–3.558, P=0.001), and SII≥1814 (OR=3.799, 95% CI:2.190–6.593, P<0.001) were independent predictors of NRP after primary PCI in older patients with STEMI. Receiver operating characteristic curve analysis demonstrated that SII had a high predictive value for NRP (AUC=0.738; 95% CI:0.686–0.790), with the best cut-off value of 1814, a sensitivity of 52.85% and a specificity of 85.71%.

Conclusion: For older patients with STEMI undergoing primary PCI, SII is a valid predictor of NRP.

Predictive value of SII and sd-LDL for contrast-induced acute kidney injury in STEMI patients undergoing percutaneous coronary intervention

Aim: To investigate the relationship between the incidence of contrast-induced acute kidney injury (CI-AKI) and the level of small dense low-density lipoprotein (sd-LDL) and systemic immune-inflammation index (SII) in patients with acute ST-segment elevation myocardial infarction (STEMI) undergoing emergency percutaneous coronary intervention (PCI), and to further compare the predictive values of SII, sd-LDL and their combination for CI-AKI. Methods: A total of 674 patients were assigned to a training and a validation cohort according to their chronological sequence. The baseline characteristics of the 450 patients in the training cohort were considered as candidate univariate predictors of CI-AKI. Multivariate logistic regression was then used to identify predictors of CI-AKI and develop a prediction model. The predictive values of SII, sd-LDL and their combination for CI-AKI were also evaluated. Results: Multivariate logistic regression analysis showed that age, left ventricular ejection fraction (LVEF), sd-LDL, uric acid, estimated glomerular filtration rate (eGFR) and SII were predictors of CI-AKI. The area under the curve (AUC) of the prediction model based on the above factors was 0.846 [95% confidence interval (CI) 0.808–0.884], and the Hosmer-Lemeshow test (P = 0.587, χ2 = 6.543) proved the goodness of fit of the model. The AUC combining SII with sd-LDL to predict CI-AKI was 0.785 (95% CI 0.735–0.836), with a sensitivity of 72.8% and a specificity of 79.8%, and was statistically significant when compared with SII and sd-LDL, respectively. The predictive efficiency of combining SII with sd-LDL and SII were evaluated by improved net reclassification improvement (NRI, 0.325, P < 0.001) and integrated discrimination improvement (IDI, 0.07, P < 0.001). Conclusions: Both SII and sd-LDL can be used as predictors of CI-AKI in STEMI patients undergoing emergency PCI, and their combination can provide more useful value for early assessment of CI-AKI.

Association of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio with outcomes in stroke patients achieving successful recanalization by endovascular thrombectomy

Objective

Serum inflammatory biomarkers play crucial roles in the development of acute ischemic stroke (AIS). In this study, we explored the association between inflammatory biomarkers including platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR), and clinical outcomes in AIS patients who achieved successful recanalization.

Methods

Patients with AIS who underwent endovascular thrombectomy (EVT) and achieved a modified thrombolysis in the cerebral infarction scale of 2b or 3 were screened from a prospective cohort at our institution between January 2013 and June 2021. Data on blood parameters and other baseline characteristics were collected. The functional outcome was an unfavorable outcome defined by a modified Rankin Scale of 3-6 at the 3-month follow up. Other clinical outcomes included symptomatic intracranial hemorrhage (sICH) and 3-month mortality. Multivariable logistic regression analysis was performed to evaluate the effects of PLR, NLR, and MLR on clinical outcomes.

Results

A total of 796 patients were enrolled, of which 89 (11.2%) developed sICH, 465 (58.4%) had unfavorable outcomes at 3 months, and 168 (12.1%) died at the 3-month follow up. After adjusting for confounding variables, a higher NLR (OR, 1.076; 95% confidence interval [CI], 1.037-1.117; p < 0.001) and PLR (OR, 1.001; 95%CI, 1.000-1.003; p = 0.045) were significantly associated with unfavorable outcomes, the area under the receiver operating characteristic curve of NLR and PLR was 0.622 and 0.564, respectively. However, NLR, PLR, and MLR were not independently associated with sICH and 3-month mortality (all adjusted p > 0.05).

Conclusion

Overall, our results indicate that higher PLR and NLR were independently associated with unfavorable functional outcomes in AIS patients with successful recanalization after EVT; however, the underlying mechanisms are yet to be elucidated.

The relation between apical thrombus formation and systemic immune-inflammation index in patients with acute anterior myocardial infarction

Left ventricular (LV) apical thrombus formation is a well described and clinically important complication of acute myocardial infarction (MI) with a substantial risk of thromboembolism. Alterations in the inflammatory status may contribute to this complication. The aim of this study was to evaluate the predictive role of the systemic immune-inflammation index (SII) in identifying high risk patients who will develop an apical thrombus formation during the acute phase of anterior transmural infarction. Consecutive 1753 patients (mean age: 61.5 ± 9.6 years; male: 63.8 %) with first acute anterior MI who underwent primary percutaneous coronary intervention were assessed. Patients were divided into 2 groups according to the presence of apical thrombus. SII was calculated using the following equation: neutrophil (N) × platelet (P) ÷ lymphocyte (L). LV apical thrombus was detected on transthoracic echocardiogram in 99 patients (5.6%). Patients with an apical thrombus had lower LV ejection fraction, prolonged time from symptoms to treatment, higher rate of post-percutaneous coronary intervention thrombolysis in myocardial infarction flow ≤1 and significantly higher mean high-sensitivity C-reactive protein, and SII values and lower lymphocyte than those without an apical thrombus. Admission SII level was found to be a significant predictor for early LV apical thrombus formation complicating a first-ever anterior MI. This simple calculated tool may be used to identify high-risk patients for LV thrombus and individualization of targeted therapy.

Evaluation of C-reactive protein as predictor of adverse prognosis in acute myocardial infarction after percutaneous coronary intervention: A systematic review and meta-analysis from 18,715 individuals

BACKGROUND

Proper prognostic biomarker is of great importance for clinical decision-making in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Although recently emerges plenty of novel inflammatory biomarkers, the canonical inflammatory mediator C-reactive protein still plays an important role in prognosing adverse post-infarction complications.

METHODS

PubMed, Embase, and Medline were systematically searched from the establishment of databases up to December 2021, conforming with standards set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

RESULTS

A total of 23 studies were eventually eligible for this meta-analysis, including 18,715 individuals. Our findings showed that elevated C-reactive protein (CRP) had a statistically significant superiority in predicting all-cause mortality (OR: 3.22, 95% CI: [2.71, 3.84], p < 0.00001), cardiovascular death (OR: 3.26, 95% CI: [2.30, 4.61], p < 0.00001), major adverse cardiovascular events (MACEs) (OR: 2.85, 95% CI [2.08, 3.90], p < 0.00001), heart failure (OR: 2.29, 95% CI: [1.48, 3.54], p = 0.0002), recurrent myocardial infarction (OR: 1.76, 95% CI: [1.28, 2.43], p < 0.001), and restenosis (OR: 1.71, 95% CI: [1.18, 2.47], p = 0.004). Subgroup analysis implies that CRP had better performance in predicting plenty of hospitalization and short-term (<12 months) adverse prognosis than long-term prognosis and Asian patients with elevated CRP were under more risk in adverse prognosis after PCI than Europeans.

CONCLUSION

Our meta-analysis suggests that CRP is a prospective predictor of the prognosis in patients with AMI undergoing PCI, especially in hospitalization and short-term and in the Asian group.

A nomogram risk prediction model for no-reflow after primary percutaneous coronary intervention based on rapidly accessible patient data among patients with ST-segment elevation myocardial infarction and its relationship with prognosis

Background

No-reflow occurring after primary percutaneous coronary intervention (PCI) in patients with ST-segment elevation myocardial infarction (STEMI) can increase the incidence of major adverse cardiovascular events (MACE). The present study aimed to construct a nomogram prediction model that can be quickly referred to before surgery to predict the risk for no-reflow after PCI in STEMI patients, and to further explore its prognostic utility in this patient population.

Methods

Research subjects included 443 STEMI patients who underwent primary PCI between February 2018 and February 2021. Rapidly available clinical data obtained from emergency admissions were collected. Independent risk factors for no-reflow were analyzed using a multivariate logistic regression model. Subsequently, a nomogram for no-reflow was constructed and verified using bootstrap resampling. A receiver operating characteristic (ROC) curve was plotted to evaluate the discrimination ability of the nomogram model and a calibration curve was used to assess the concentricity between the model probability curve and ideal curve. Finally, the clinical utility of the model was evaluated using decision curve analysis.

Results

The incidence of no-reflow was 18% among patients with STEMI. Killip class ≥2 on admission, pre-operative D-dimer and fibrinogen levels, and systemic immune–inflammation index (SII) were independent risk factors for no-reflow. A simple and quickly accessible prediction nomogram for no-reflow after PCI was developed. This nomogram demonstrated good discrimination, with an area under the ROC curve of 0.716. This nomogram was further validated using bootstrapping with 1,000 repetitions; the C-index of the bootstrap model was 0.706. Decision curve analysis revealed that this model demonstrated good fit and calibration and positive net benefits. Kaplan–Meier survival curve analysis revealed that patients with higher model scores were at a higher risk of MACE. Multivariate Cox regression analysis revealed that higher model score(s) was an independent predictor of MACE (hazard ratio 2.062; P = 0.004).

Conclusions

A nomogram prediction model that can be quickly referred to before surgery to predict the risk for no-reflow after PCI in STEMI patients was constructed. This novel nomogram may be useful in identifying STEMI patients at higher risk for no-reflow and may predict prognosis in this patient population.

Systemic Immune-Inflammation Index as a Predictor of Microvascular Dysfunction in Patients With Cardiac Syndrome X

The systemic immune inflammation index (SII; platelet count x neutrophil-lymphocyte ratio), a new marker, predicts adverse clinical outcomes in many conditions, including acute and chronic coronary syndromes, pulmonary embolism, cancers, and contrast nephropathy. The aim of this study was to determine the relationship between SII and microvascular dysfunction in patients with Cardiac Syndrome X (CSX); 105 patients with CSX and 105 patients with normal coronary arteries were included. Microvascular dysfunction was determined angiographically using myocardial blush grade (MBG) and total myocardial blush score (TMBS). We observed that the SII levels were higher in the CSX (+) group (687 [355-2211] vs 418 [198-1614], P<.001). The SII levels were also found to be significant independent predictors for CSX in multiple regression analysis (P=.001). SII levels >440 had 83.8% sensitivity and 55.2% specificity (area under the curve [AUC]: .923, 95% CI: .895-.999, P<.001) for predicting CSX. There is a significant correlation between SII levels and CSX.

Usefulness of systemic immune-inflammation index in predicting atrial fibrillation recurrence after direct current cardioversion

Background: We aimed to determine whether there is a relationship between the systemic immune-inflammation (SII) index and the recurrence of atrial fibrillation (AF) after successful direct current cardioversion (DCCV). Methods: The study included 99 patients with persistent AF who underwent successful cardioversion between 2015 and 2020. Results: In multiple regression analyses, the SII index was found to be a better independent predictor of AF recurrence after successful DCCV (p < 0.001). The cut-off value of SII (563) was associated with 96.9% sensitivity and 55.2% specificity to predict AF recurrence after DCCV. Conclusion: As a simple biomarker, SII index is an independent parameter for predicting AF recurrence after successful DCCV in patients with persistent AF. Also, SII levels can predict AF recurrence better than neutrophil-to-lymphocyte ratio.

Lipopolysaccharide Pretreatment Prevents Medullary Vascular Congestion following Renal Ischemia by Limiting Early Reperfusion of the Medullary Circulation

BACKGROUND

Vascular congestion of the renal medulla-trapped red blood cells in the medullary microvasculature-is a hallmark finding at autopsy in patients with ischemic acute tubular necrosis. Despite this, the pathogenesis of vascular congestion is not well defined.

METHODS

In this study, to investigate the pathogenesis of vascular congestion and its role in promoting renal injury, we assessed renal vascular congestion and tubular injury after ischemia reperfusion in rats pretreated with low-dose LPS or saline (control). We used laser Doppler flowmetry to determine whether pretreatment with low-dose LPS prevented vascular congestion by altering renal hemodynamics during reperfusion.

RESULTS

We found that vascular congestion originated during the ischemic period in the renal venous circulation. In control animals, the return of blood flow was followed by the development of congestion in the capillary plexus of the outer medulla and severe tubular injury early in reperfusion. Laser Doppler flowmetry indicated that blood flow returned rapidly to the medulla, several minutes before recovery of full cortical perfusion. In contrast, LPS pretreatment prevented both the formation of medullary congestion and its associated tubular injury. Laser Doppler flowmetry in LPS-pretreated rats suggested that limiting early reperfusion of the medulla facilitated this protective effect, because it allowed cortical perfusion to recover and clear congestion from the large cortical veins, which also drain the medulla.

CONCLUSIONS

Blockage of the renal venous vessels and a mismatch in the timing of cortical and medullary reperfusion results in congestion of the outer medulla's capillary plexus and promotes early tubular injury after renal ischemia. These findings indicate that hemodynamics during reperfusion contribute to the renal medulla's susceptibility to ischemic injury.

Association between Platelet to Neutrophil Ratio (PNR) and Clinical Outcomes in STEMI Patients after Successful pPCI: A Secondary Analysis Based on a Cohort Study

Purpose

This study was aimed at investigating whether the platelet-to-neutrophil ratio (PNR) is independently related to the prognosis of patients with ST-elevation myocardial infarction (STEMI) after successful primary percutaneous coronary intervention (pPCI).

Methods

This was a secondary analysis of data retrieved from the DATADRYAD database, which was a prospective cohort study. A total of 464 STEMI patients who underwent successful pPCI were recruited between January 2010 and October 2014. The target-independent variable, PNR, was measured at the baseline. The dependent variable in the current study was the occurrence of major adverse cardiovascular events (MACEs) during the 30-month follow-up.

Results

Two patients were excluded from the final analysis because their platelet counts were unavailable. The average age of the 462 participants was 63 ± 11.92 years, and approximately 76.6% were male. After adjusting for age, sex, anterior wall myocardial infarction (MI), history of MI, apelin-12, apelin-12 change rate, left ventricular end-diastolic diameter, peak cardiac troponin I, pathological Q wave, Killip classification grade, fasting blood glucose, albumin, GENSINI score, and estimated glomerular filtration rate, a nonlinear relationship was found between the PNR and MACEs in the included cohort. The threshold value of the PNR for MACEs was 23.1. Over this cutoff value, the incidence rate of MACEs increased by 43% per 10-unit change in PNR (95% CI: 1.16–1.75, p = 0.0006).

Conclusion

There was a threshold relationship between PNR and MACEs in patients with STEMI who underwent successful pPCI. The incidence of MACEs was positively associated with the PNR when the PNR exceeded 23.1.

Comparison of systemic immune-inflammation index levels in patients with isolated coronary artery ectasia versus patients with obstructive coronary artery disease and normal coronary angiogram

Coronary artery ectasia (CAE) is associated with increased risk of mortality, equivalent to that of patients with obstructive coronary artery disease (CAD). Considering the role of inflammation in the pathogenesis of CAE, we aimed to investigate whether there is an association between systemic immune-inflammation index (SII) and isolated CAE. The study population included 510 patients of which 170 patients with isolated CAE, 170 patients with obstructive CAD and 170 patients with normal coronary angiograms (NCA). The severity of CAE was determined according to the Markis classification. Patients with isolated CAE had significantly higher SII values compared to those with obstructive CAD and NCA [median 550 IQR (404-821), median 526 IQR (383-661), and median 433 IQR (330-555), respectively, p < .001]. In multivariate analysis, SII (OR 1.032, 95% CI 1.020-1.044, p = .003), male gender (OR 2.083, p = .008), eGFR (OR 0.979, p = .016), and CRP (OR 1.105, p = .005) were independent factors of isolated CAE. Moreover, in the Spearman correlation analysis, there was a moderate but significant positive correlation between SII and CRP (r = 0.379, p < .001). In conclusion, higher SII levels were independently associated with the presence of isolated CAE. This result suggests that a more severe inflammatory process may play a role in the development of this variant of CAD.

Association of the Novel Inflammatory Marker Systemic Immune-Inflammation index and Contrast-Induced Nephropathy in Patients Undergoing Transcatheter Aortic Valve Replacement for Severe Aortic Stenosis

This study investigated whether the systemic immune-inflammation index (SII) is an independent predictor of contrast-induced nephropathy (CIN) in patients undergoing transcatheter aortic valve replacement (TAVR) for severe aortic stenosis. TAVR patients (n = 130) were included in the study. The patients were divided into 2 groups: those who developed CIN [CIN (+)] and those who did not [CIN (−)]. The SII was calculated as the ratio of the product of the total neutrophil count and the total platelet count to the lymphocyte count. CIN developed in 20 (15.3%) patients after TAVR. White blood cell count (7.66 ± 1.75 vs 6.78 ± 1.71 103/mm3 P = .038), neutrophil count (5.1 (3.9–6.7) vs 4.2 (3.5-5.1) 103/mm3 P = .024), neutrophillymphocyte ratio (4.20 (2.39–7.00) vs 2.75 (2.06-3.88), P = .010) and SII index (1069 (616–1514) vs 598 (426-955), P = .003) were at higher levels in patients with CIN. In addition, the SII index was an independent predictor for the development of CIN. The SII index, which can be easily calculated from a complete blood count, is an independent predictor of CIN in patients undergoing TAVR for severe aortic stenosis.

Systemic Immune-Inflammation Index: A Novel Predictor of Coronary Thrombus Burden in Patients with Non-ST Acute Coronary Syndrome

Background and Objectives: Excessive coronary thrombus burden is known to cause an increase in mortality and major adverse cardiac events (MACEs) in NSTE-ACS (non-ST acute coronary syndrome) patients. We investigated the association between the systemic immune-inflammation index (SII) and coronary thrombus burden in patients with non-ST segment elevation myocardial infarction (NSTEMI) who underwent coronary angiography and percutaneous coronary intervention (PCI). Materials and Methods: A total of 389 patients with the diagnosis of NSTEMI participated in our study. Coronary thrombus burden was classified in the TIMI (thrombolysis in myocardial infarction) thrombus grade scale and patients were divided into two groups: a TIMI thrombus grade 0–1 group (n = 209, 157 males) and a TIMI thrombus grade 2–6 group (n = 180, 118 males). Demographics, angiographic lesion images, coronary thrombus burden, clinical risk factors, laboratory parameters, and SII score were compared between the two groups. Results: The high thrombus burden patient group had a higher neutrophil count, WBC count, platelet count, and systemic immune-inflammation index (SII) (p < 0.001). The receiver operating characteristic (ROC) curve analysis showed that at a cutoff of 1103, the value of SII manifested 74.4% sensitivity and 74.6% specificity for detecting a high coronary thrombus burden. Conclusions: Our study showed that the SII levels at hospital admission were independently associated with high coronary thrombus with NSTEMI.

Sodium nitroprusside injection immediately before balloon inflation during percutaneous coronary intervention

BACKGROUND

No reflow or slow flow frequently occurs during percutaneous coronary inter-vention (PCI) and it is associated with adverse outcomes. Strategies should be undertaken to prevent its occurrence.

AIM

To observe whether conventional target intracoronary administration of sodium nitroprusside immediately before balloon inflation can reduce the incidence of no reflow and slow flow, which are defined as thrombolysis in myocardial infarction flow grade ≤ II during PCI.

METHODS

A retrospective study was conducted in 740 patients with coronary artery disease admitted to Gansu Provincial Hospital of Traditional Chinese Medicine between January 2016 and October 2020. Among them, 360 patients receiving sodium nitroprusside immediately before balloon inflation during PCI were enrolled in an experimental group between January 2019 and October 2020 and 380 patients receiving sodium nitroprusside after incident no reflow and slow flow during PCI were enrolled in a control group between January 2016 and January 2019. The occurrence of no reflow and slow flow was compared between the two groups and left ventricular end-diastolic diameter (LVEDD) and left ventricular ejection fraction (LVEF) were detected 1 mo after the operation.

RESULTS

After treatment, the proportion of patients with thrombolysis in myocardial infarction flow grades 0 to II was lower in the experimental group than in the control group (P < 0.05). At 1 mo after treatment, LVEDD was lower and LVEF was higher in the experimental group than in the control group (P < 0.05). In terms of incidence of adverse cardiovascular events within 1 mo after treatment, in the experimental group, malignant arrhythmia occurred in three patients, intractable myocardial ischemia in three, congestive heart failure in four, and recurrent myocardial infarction in five; one patient died. In the control group, malignant arrhythmia occurred in eight patients, intractable myocardial ischemia in five, congestive heart failure in seven, and recurrent myocardial infarction in 14; two patients died. The incidence of adverse cardiovascular events was 4.4% in experimental group which was lower than that of the control group at 1 mo after operation (9.5%; P < 0.05).

CONCLUSION

Administration of sodium nitroprusside into target vessels immediately before balloon inflation can significantly reduce the incidence of no reflow and slow flow, improve LVEDD and LVEF, and reduce the incidence of adverse cardio-vascular events in patients treated by PCI. It is worthy of clinical promotion.

Systemic immune-inflammation index as a tool for predicting the need for a permanent pacemaker in patients with drug-induced atrioventricular block

BACKGROUND

Drug-induced atrioventricular block (AVB) is generally considered reversible and does not require a permanent pacemaker implantation (PPM). However, some studies have demonstrated a failure of AVB cessation even when the inducing agent has been discontinued. This study has investigated the use of systemic immune-inflammation index (SII) to predict irreversible drug-induced AVB after drug discontinuation.

METHOD

Files of patients with high-degree AVB that required a temporary pacemaker (TPM) were retrospectively analyzed. Sixty-three patients in which AVB was drug-induced were included in the study. The patients were divided into the following two groups: (1) those whose AVB reversed after discontinuation of the related drug, and (2) those in which AVB did not reverse.

RESULTS

AVB reversed in 24 patients (38%) after the inducing agent was discontinued while in the remaining 39 patients (62%) PPM was required. The most common drugs to induce AVB were beta-blockers (n = 46, 73%). Follow-up time with TPM was significantly longer in the irreversible group (2.91 ± 1.05 days vs. 4.94 ± 2.15 days, p < .001). Multivariate logistic regression analysis showed that SII (odds ratio [OR] = 1.002; 95% confidence interval [CI] = 1.000-1.003; p = .01) was an independent predictor of the requirement for a PPM. An SII > 752.05 was found to be a predictor of irreversible AVB requiring PPM with a sensitivity of 64% and specificity of 75% (receiving-operating characteristics [ROC] area under the ROC curve [AUC]: 0.704, 95% CI = 0.570-0.838, p = .007).

CONCLUSION

Approximately 2/3 of drug-induced high-degree AVBs are irreversible. SII is an easily available and cheap inflammatory biomarker that can be used to predict irreversible AVB.

Can prognostic nutritional index and systemic immune-inflammatory index predict disease severity in COVID-19?

BACKGROUND

Prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) are inflammation-based novel markers that predict the prognosis in various patient populations. We have investigated the relationship between the disease severity in COVID-19, and the PNI and SII scores in the present study.

MATERIALS AND METHODS

This cross-sectional retrospective study included 118 hospitalised patients with a confirmed diagnosis of COVID-19. The patients were divided into two groups as those who were hospitalised at the intensive care unit (ICU) and those who had been internalised at the clinic (non-ICU).

RESULTS

Of the 118 patients, 50.8% were male. The mean age was 57.7 ± 17.5 years in non-ICU patients and 70.3 ± 11.7 years in ICU patients and the difference was statistically significant (P < .001). The lymphocyte count and the albumin levels were significantly lower in ICU patients (P < .001, P < .001, respectively). The PNI score was significantly lower in ICU patients compared with non-ICU patients (P < .001). The SII score was found to be significantly higher in ICU patients compared with non-ICU patients (P < .001). The value of PNI and SII scores in prediction of the disease severity in COVID-19 was evaluated with the ROC analysis (PNI: AUC = 0.796, 95%CI: 0.715-0.877, P < .001; SII: AUC =0.689, 95% CI: 0.559-0.819, P=.004). When the cut-off value was taken as ≤36.7 for the PNI score, it was found to have 73.4% sensitivity and 70.8% specificity for predicting of the disease severity and ICU admission probability was 4.4 times higher. When the cut-off value was taken as ≥813.6 for SII score, it was found to have 70.8% sensitivity and 66.0% specificity for predicting of the disease severity and ICU admission probability was six times higher.

CONCLUSION

The PNI and the SII scores are independent predictors of the prognosis and the disease severity in COVID-19 patients who require hospitalisation at the ICU.

Accuracy of neutrophil to lymphocyte and monocyte to lymphocyte ratios as new inflammatory markers in acute coronary syndrome

Background

Inflammation plays a key role in the development of atherosclerosis and in the pathogenesis of acute coronary syndrome (ACS). Leukocytes and leukocytes ratios were recognized as inflammatory markers in predicting the presence and severity of ACS.

Methods

This study aimed to investigate the diagnostic accuracy of neutrophil to lymphocyte ratio (NLR) and monocyte to lymphocyte ratio (MLR) with ACS. One hundred patients admitted to the Cardiac Center who were confirmed to have ACS and 100 healthy controls confirmed not to have ACS were enrolled in this study. ECG and troponin I test were used as gold standards to make sure that the participants with or without ACS. Total white blood cells (WBCs) count, NLR, and MLR values were estimated.

Results

Total WBCs, neutrophil, and monocyte counts were significantly higher while lymphocyte counts were significantly lower in ACS patients than in the healthy controls (p < 0.001). NLR and MLR were significantly higher in ACS patients than in the healthy controls (p < 0.001). Among all the studied markers, NLR was found to be the strongest predictive marker of ACS (OR: 3.3, p < 0.001), whereas MLR was non-significant (p > 0.05). A cut-off value of 2.9 of NLR had 90% sensitivity and 88% specificity while 0.375 cut-off value of MLR had 79% sensitivity, 91% specificity for predicting ACS presence.

Conclusions

NLR is a simple, widely available, and inexpensive inflammatory marker which can be an auxiliary biomarker in the diagnosis of ACS with a cut-off value of 2.9 in our population.

Identification of CDK2-Related Immune Forecast Model and ceRNA in Lung Adenocarcinoma, a Pan-Cancer Analysis

Background

Tumor microenvironment (TME) plays important roles in different cancers. Our study aimed to identify molecules with significant prognostic values and construct a relevant Nomogram, immune model, competing endogenous RNA (ceRNA) in lung adenocarcinoma (LUAD).

Methods

“GEO2R,” “limma” R packages were used to identify all differentially expressed mRNAs from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Genes with P-value <0.01, LogFC>2 or <-2 were included for further analyses. The function analysis of 250 overlapping mRNAs was shown by DAVID and Metascape software. By UALCAN, Oncomine and R packages, we explored the expression levels, survival analyses of CDK2 in 33 cancers. “Survival,” “survminer,” “rms” R packages were used to construct a Nomogram model of age, gender, stage, T, M, N. Univariate and multivariate Cox regression were used to establish prognosis-related immune forecast model in LUAD. CeRNA network was constructed by various online databases. The Genomics of Drug Sensitivity in Cancer (GDSC) database was used to explore correlations between CDK2 expression and IC50 of anti-tumor drugs.

Results

A total of 250 differentially expressed genes (DEGs) were identified to participate in many cancer-related pathways, such as activation of immune response, cell adhesion, migration, P13K-AKT signaling pathway. The target molecule CDK2 had prognostic value for the survival of patients in LUAD (P = 5.8e-15). Through Oncomine, TIMER, UALCAN, PrognoScan databases, the expression level of CDK2 in LUAD was higher than normal tissues. Pan-cancer analysis revealed that the expression, stage and survival of CDK2 in 33 cancers, which were statistically significant. Through TISIDB database, we selected 13 immunodepressants, 21 immunostimulants associated with CDK2 and explored 48 genes related to these 34 immunomodulators in cBioProtal database (P < 0.05). Gene Set Enrichment Analysis (GSEA) and Metascape indicated that 49 mRNAs were involved in PUJANA ATM PCC NETWORK (ES = 0.557, P = 0, FDR = 0), SIGNAL TRANSDUCTION (ES = –0.459, P = 0, FDR = 0), immune system process, cell proliferation. Forest map and Nomogram model showed the prognosis of patients with LUAD (Log-Rank = 1.399e-08, Concordance Index = 0.7). Cox regression showed that four mRNAs (SIT1, SNAI3, ASB2, and CDK2) were used to construct the forecast model to predict the prognosis of patients (P < 0.05). LUAD patients were divided into two different risk groups (low and high) had a statistical significance (P = 6.223e-04). By “survival ROC” R package, the total risk score of this prognostic model was AUC = 0.729 (SIT1 = 0.484, SNAI3 = 0.485, ASB2 = 0.267, CDK2 = 0.579). CytoHubba selected ceRNA mechanism medicated by potential biomarkers, 6 lncRNAs-7miRNAs-CDK2. The expression of CDK2 was associated with IC50 of 89 antitumor drugs, and we showed the top 20 drugs with P < 0.05.

Conclusion

In conclusion, our study identified CDK2 related immune forecast model, Nomogram model, forest map, ceRNA network, IC50 of anti-tumor drugs, to predict the prognosis and guide targeted therapy for LUAD patients.

Systemic Immune-Inflammation Index May Predict the Development of Contrast-Induced Nephropathy in Patients With ST-Segment Elevation Myocardial Infarction

The aim of this study was to investigate the predictive capacity of a systemic immune-inflammation index (SII) in the detection of contrast-induced nephropathy (CIN) following ST-segment elevation myocardial infarction (STEMI). A total of 477 STEMI patients were enrolled in the study. The patients were divided into 2 groups according to CIN development. A cutoff point of 5.91 for logarithm-transformed SII was identified with 73.0% sensitivity and 57.5% specificity to predict CIN following STEMI. According to a pairwise analysis of receiver operating characteristic curve analysis, the predictive power of SII in detecting CIN following STEMI was similar to that of high-sensitivity C-reactive protein and better than the neutrophil/lymphocyte ratio or platelet/lymphocyte ratio. As a result, SII can be used as one of the independent predictors of CIN after STEMI.

Systemic Immune-Inflammation Index Is a Predictor of Contrast-Induced Nephropathy in Patients With ST-Segment Elevation Myocardial Infarction

We evaluated the predictive value of admission systemic immune-inflammation index (SII) for the risk of contrast-induced nephropathy (CIN) in patients with ST-segment elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI). The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and SII (platelet × NLR) levels were calculated in 1621 consecutive patients with STEMI. The relationship of these parameters with CIN development within 72 hours of pPCI was analyzed. Of the study population, 343 (21.1%) cases developed CIN. The frequency of CIN was 11.1% in the first SII quartile, 11.6% in the second SII quartile, 26.8% in the third SII quartile, and 35% in the fourth SII quartile, which differed significantly between groups (P < .01). Age, baseline glomerular filtration rate, contrast media volume, hypertension, C-reactive protein levels, and the quartiles of SII were independent predictors of CIN. Patients in the third SII quartile versus first SII quartile (OR: 2.906, 95% CI, 1.903-4.437; P < .001), and fourth SII quartile versus first SII quartile (OR: 4.168, 95% CI, 2.754-6.313; P < .001) had a significantly higher risk for CIN in the multivariable model. The SII may be a promising inflammatory parameter to predict CIN after pPCI.

The ATRIA and Modified-ATRIA Scores in Evaluating the Risk of No-Reflow in Patients With STEMI Undergoing Primary Percutaneous Coronary Intervention

The no-reflow (NR) phenomenon is frequently encountered in acute coronary syndrome. We evaluated the association between anticoagulation and risk factors in atrial fibrillation (ATRIA) and modified ATRIA risk scores and NR in ST-elevation myocardial infarction (STEMI). Consecutive patients (n = 551) who underwent primary percutaneous coronary intervention between December 2019 and June 2020 due to STEMI were included. The mean age of the patients was 60.5 ± 10.8 years (n = 369, 67% male). The ATRIA and modified anticoagulation and risk factors in atrial fibrillation-hyperlipidemia, smoking, male (m-ATRIA-HS) scores were calculated. The NR group had higher frequency of diabetes mellitus (DM), serum creatine kinase-MB (CK-MB) levels, and corrected thrombolysis in myocardial infarction frame count (cTFC) (P = .002, P = .006, and P < .001, respectively). In regression analysis, ATRIA, m-ATRIA-HS, thrombus grade, and cTFC were independent predictors of NR. Age, higher CK-MB, and neutrophil-to-lymphocyte ratio and DM were the other predictors for NR. Pairwise comparison of receiver operating characteristics curve analysis showed that the m-ATRIA-HS (>2, area under curve [AUC]: 0.715) has better performance than ATRIA score (>1, AUC: 0.656), with a P < .022 and z statistics 2.279. In conclusion, ATRIA, especially the m-ATRIA-HS, can be used to evaluate NR risk in STEMI.

Factors associated with microvascular occlusion in patients with ST elevation myocardial infarction after primary percutaneous coronary intervention

Objective

This study aimed to determine predictors of microvascular occlusion (MVO) in patients with ST elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (pPCI).

Methods

This retrospective, observational study consecutively included 113 patients with STEMI undergoing pPCI. Cardiac magnetic resonance imaging was used to determine the presence of MVO in these patients. Biomarkers in serum were routinely tested 1 day after pPCI. Multivariable logistic regression analysis was used to evaluate significant predictors of occurrence of MVO.

Results

There were 62 patients in the MVO group and 51 patients in the non-MVO group. C-reactive protein (CRP), thrombomodulin, lymphatic vessel endothelial hyaluronan receptor-1, syndecan-1, and troponin T (TnT) levels after the procedure were significantly higher in the MVO group than in the non-MVO group. CRP (hazard ratio [HR]=1.036), TnT (HR=1.316), and syndecan-1 (HR=1.986) levels were independently associated with MVO in patients with acute myocardial infarction after pPCI.

Conclusions

Levels of CRP, TnT, and syndecan-1 can be used as serum biomarkers for MVO in patients with STEMI receiving pPCI.

Platelet-Lymphocyte ratio is a predictor for the development of no-reflow phenomenon in patients with ST-segment elevation myocardial infarction after thrombus aspiration

BACKROUND

We aimed to evaluate the utility of the preprocedural platelet-lymphocyte ratio (PLR) for predicting the no-reflow phenomenon after thrombus aspiration during percutaneous coronary intervention (PCI) in patients with ST-segment elevation myocardial infarction (STEMI).

METHOD

We retrospectively analyzed postprocedural thrombolysis in myocardial infarction (TIMI) flow grades and myocardial blush grades (MBG) of 247 patients who underwent a PCI procedure with thrombus aspiration.We divided these patients into two groups according to whether they had no-reflow (TIMI < 3, MBG < 2) or not (TIMI 3, MBG ≥ 2).

RESULTS

No-reflow developed in 43 (17%) patients.Preprocedural PLR was significantly higher in the no-reflow group (183.76 ± 56.65 vs 118.32 ± 50.42 p < 0.001).Independent predictors of no-reflow were as follows: higher preprocedural platelet-lymphocyte ratio (PLR) (OR = 1.018; 95% CI = 1.004, 1.033; p = 0.013),mean corpuscular volume (MCV) (OR = 1.118; 95% CI = 1.024, 1.220; p = 0.012) and SYNTAX Score-2 (OR = 1.073; 95% CI = 1.005, 1.146; p = 0.036). PLR of 144 had 79% sensitivity and 75% specificity for the prediction of no-reflow.

CONCLUSION

PLR is a reliable predictor for no-reflow in STEMI patients undergoing thrombus aspiration.

Systemic Immune Inflammation Index: A Novel Predictor of Contrast-Induced Nephropathy in Patients With Non-ST Segment Elevation Myocardial Infarction

We investigated whether the systemic immune inflammation index (SII) on admission is an independent risk factor that predicts the development of contrast-induced nephropathy (CIN) in patients with non-ST segment elevation myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). A total of 429 patients with NSTEMI were enrolled in the study. Contrast-induced nephropathy was defined as an increase in serum creatinine level of ≥0.5 mg/dL or ≥25% above baseline within 72 hour after the procedure. Patients were divided into 2 groups: with and without CIN. Demographics, clinical risk factors, angiographic and laboratory parameters, CIN incidence, and SII score were compared between the 2 groups. Non-ST segment elevation myocardial infarction patients, who developed CIN, had higher glucose levels (P = .009), neutrophil counts (P < .001), platelet counts (P < .001), neutrophil-lymphocyte ratios (P < .001), high sensitivity C-reactive protein levels (P = .009), and SII levels (P < .001) than those who did not develop CIN. The receiver operating characteristic curve analysis showed that at a cutoff of 933.2, the value of SII exhibited 77.6% sensitivity and 69.2% specificity for detecting CIN. Our study showed that the SII levels on admission were independently associated with CIN development after PCI in patients with NSTEMI.