Relationship between increased systemic immune-inflammation index and coronary slow flow phenomenon

Advanced Lung Cancer Inflammation Index as a Predictor of Coronary Slow Flow Phenomenon in Patients with Angina and Non-Obstructive Coronary Arteries

Background

The advanced lung cancer inflammation index (ALI) is associated with the prognosis of cardiovascular diseases. However, the relationship between ALI and the occurrence of coronary slow flow phenomenon (CSFP) remains unclear.

Methods

We consecutively enrolled 1495 patients with angina and non-obstructive coronary arteries (ANOCA). In total, 93 patients were diagnosed with CSFP. A 1:2 age- and sex-matched patient with a normal coronary blood flow was selected as the control group. Demographic characteristics, laboratory parameters, and angiographic findings were compared between groups. Univariate and multivariate logistic regression analyses were performed to identify the independent predictors of CSFP in patients with ANOCA.

Results

A total of 93 individuals developed CSFP, accounting for 6.4% of the ANOCA patients. Compared with controls, patients with CSFP had a lower body mass index (BMI) and a higher incidence of nitrates before admission (P<0.05). The neutrophil count, neutrophil-to-lymphocyte ratio (NLR), and fasting blood glucose (FBG) level were significantly higher in patients with CSFP, whereas decreased lymphocyte count, albumin level, and ALI were found in patients with CSFP. Multivariable logistic regression analyses revealed that ALI was an independent predictor of CSFP. The receiver operating characteristic (ROC) curve showed that when ALI was ≤389.5, the specificity and sensitivity were 0.624 and 0.652, respectively (AUC, 0.694; 95% CI, 0.633-0.755, P<0.001). Moreover, ALI demonstrated a better predictive value than indicators alone, including albumin level, BMI, and NLR.

Conclusion

A lower ALI demonstrated a reliable predictive value for the occurrence of CSFP in patients with ANOCA. As an easily calculated and acquired parameter, ALI can be used for risk stratification and optimal management of patients with ANOCA.

Comparison of TyG and modified TyG indices in predicting coronary slow flow phenomenon

BACKGROUND

The coronary slow flow phenomenon (CSFP) represents a common condition in patients with ischemia and non-obstructive coronary artery disease (INOCA). The triglyceride-glucose index (TyG) and relative modified indices have been established to be associated with CSFP. However, comparison of the clinical value of TyG and its modified indices in predicting CSFP has not been evaluated.

MATERIALS AND METHODS

INOCA patients were retrospectively enrolled. According to the corrected TIMI counts, the patients were divided into the CSFP group and the non-CSFP group. A total of 4,627 patients were enrolled in our study. Among them, 69 patients were divided into the CSFP group, while 586 patients were divided into the non-CSFP group. Demographic, clinical risk factors, and laboratory results, including TyG and its modified indices, were compared between the two groups. The prognostic value of TyG and its modified indices in CSFP was compared using the area under the curve (AUC).

RESULTS

Most of the demographic and clinical risk factors between CSFP patients and non-CSFP patients were comparable. For patients with CSFP, the patients were more likely to have chronic kidney disease (CKD) (39.13% vs. 20.31%, p < 0.001) and less likely to have anti-diabetic therapy (14.49% vs. 27.13%, p = 0.023). The patients with CSFP also had higher body weight index (BMI) (p < 0.001), higher levels of uric acid (UA), triglyceride (TG) (p = 0.017), total cholesterol (TC) (p = 0.016) and low-density lipoprotein cholesterol (LDL-C) (p = 0.006), homocysteine (p < 0.001) and uric acid (p < 0.002). Both TyG and its modified indices, including TyG-WC, TyG-BMI were demonstrated to be independently associated with CSFP in multi-variable logistic analysis after adjusting other co-variables.Further receiver operating characteristic (ROC) curve demonstrated that TyG-WC showed the best performance in predicting CSFP compared with other indices. Subgroup analysis revealed that the predictive value of TyG-WC in CSFP was consistent in different subgroups except that the predictive value was better in male patients compared with female patients, CONCLUSIONS: Our investigation reveals that TyG, TyG-WC and TyG-BMI were independent risk factors for CSFP. TyG-WC showed a better predictive performance than other indices in predicting CSFP.

Association Between Systemic Immune-Inflammation Index and Outcomes of Acute Myocardial Infarction: A Systemic Review and Meta-Analysis

Objective: To assess the link between systemic immune-inflammation index (SII) and risk of major adverse cardiovascular events (MACE), contrast-induced nephropathy (CIN), and overall mortality in patients with acute myocardial infarction (AMI). Patients and Methods: Electronic search of PubMed, EMBASE, Web of Science, and Scopus databases was done for observational studies with the data on the association of SII and outcomes, such as MACE, and CIN in adult (≥18 y) patients with AMI. A random-effects model was used, and the pooled effect sizes were expressed as relative risk (RR) with corresponding 95% confidence intervals (CI). Subgroup analysis was conducted on the basis of the type of AMI (ST elevation myocardial infarction and non-ST elevation myocardial infarction), sample size (≥500 and <500), and study design. GRADE assessment was used to evaluate the certainty of the evidence. Results: The analysis included 23 studies. Most studies were conducted in China (n = 13), followed by Turkey (n = 10). Majority of the studies (n = 20) had a retrospective cohort design. Patients with high SII had increased risk of MACE (RR 2.95, 95% CI: 1.25, 6.99; n = 5, I2 = 97.5%), overall mortality (RR 2.59, 95% CI: 1.64, 4.07; n = 6, I2 = 58.0%), and CIN (RR 4.58, 95% CI: 3.44, 6.10; n = 4, I2 = 0.0%), compared with patients with lower SII. Egger's test detected publication bias for MACE (p = 0.047) and overall mortality (p = 0.012) but not for CIN. These associations remained valid in subgroup analysis. Conclusion: Findings suggest that higher SII in patients with AMI is associated with increased risks of MACE, CIN, and overall mortality. This underscores SII's potential as a prognostic marker in AMI.

Association Between the Aggregate Index of Systemic Inflammation and Slow Coronary Flow Phenomenon in Patients with Ischemia and No Obstructive Coronary Arteries

Background

Inflammation has been proposed as a potential pathogenic mechanism underlying the slow coronary flow phenomenon (SCFP). The aggregate index of systemic inflammation (AISI), a novel biomarker for evaluating inflammation, has been linked to various cardiovascular diseases. However, the relationship between AISI and the occurrence of SCFP in patients with ischemia and non - obstructive coronary arteries (INOCA) remains unclear.

Methods

In this study, 1328 consecutive patients with INOCA were recruited. Among them, 90 patients had SCFP (SCFP group). A total of 180 age - and sex - matched individuals with INOCA and normal blood flow were selected as controls at a ratio of 1:2. Clinical manifestations, laboratory parameters, and angiographic features were recorded to identify potential predictors of SCFP in INOCA patients.

Results

Compared with the control group, patients in the SCFP group had a higher prevalence of current smoking, as well as elevated white blood cell (WBC), neutrophil, monocyte, and platelet counts, and a higher AISI. The AISI value increased with the number of vessels affected by SCFP. Multivariate logistic regression analysis demonstrated that the WBC count and AISI were independent predictors of SCFP in INOCA patients. Additionally, when the AISI was > 264.1, the sensitivity and specificity were 64.4% and 64.4% respectively, and the area under the receiver operating characteristic curve (AUC) was 0.657 (95% CI: 0.590-0.723, P < 0.001). The AISI had a more favorable predictive value for the presence of SCFP than WBC, neutrophils, lymphocytes, monocytes, and platelets alone (P < 0.05).

Conclusion

Higher AISI scores are associated with an increased risk of SCFP in INOCA patients. As an easily - obtained biomarker for assessing the degree of inflammation, the AISI can serve as a promising tool for risk stratification and appropriate management in INOCA patients.

The Global Immune-Nutrition Inflammation Index for Predicting Coronary Slow Flow Phenomenon in Patients with Angina and No Obstructive Coronary Arteries

Background

Chronic inflammatory responses are involved in the initiation and development of the coronary slow flow phenomenon (CSFP). However, as a newly developed immuno-nutritional inflammation indicator, the global immune-nutrition inflammation index (GINI) has not been well elaborated for predicting CSFP in patients with angina and no obstructive coronary arteries (ANOCA).

Methods

A total of 1422 individuals with ANOCA were consecutively included in this study, of whom 93 developed CSFP (CSFP group). We selected 186 (1:2 matched) age- and sex-matched patients with ANOCA and angiographically proven normal coronary blood flow as the controls (the control group). Multivariate logistic regression analysis was used to investigate predictors of CSFP in patients with ANOCA. The optimal cutoff values for GINI were calculated.

Results

In total, 93 patients developed CSFP, including 29% (27) in one vessel, 28% (26) in two vessels, and 43% (40) in three vessels. Patients with CSFP had an elevated CRP level, white blood cell (WBC) count, neutrophil count, GINI, fasting blood glucose (FBG) level, and a lower lymphocyte count (P<0.05). Multivariate logistic analysis showed that the GINI and FBG levels were independent predictors of CSFP in patients with ANOCA. Moreover, we found that the more vessels affected by CSFP, the higher the GINI level. The receiver operating characteristic (ROC) showed that GINI had a better predictive value than indicators alone. When the GINI AISI was >84.1, the sensitivity and specificity were 88.2% and 58.7%, respectively [The Area Under the ROC curve (AUC): 0.774; 95% CI: 0.721-0.827; P < 0.001].

Conclusion

Elevated GINI is a reliable predictor of CSFP in patients with ANOCA. Moreover, GINI had a superior predictive value compared to the indicators alone. As a newly developed inflammatory indicator, GINI can be used for further risk stratification of patients with ANOCA.

Relationship Between Inflammatory Readings and the Degree of Coronary Atherosclerosis (Pilot Study)

Background/Objectives: Some calculated total blood count readings are investigated as novel additional readings to help with evaluation of personalized CAD patients' clinical management and prognosis. We aimed to investigate the association between readings such as NLR, MLR, PLR, NMR, LMR, MHR, SII, and SIRI and the severity of CAD in patients with SAP. Methods: This retrospective pilot study included 166 patients. All patients underwent CA or CCTA, or both, to assess severity of CAD. Patients were divided three ways: (1) according to presence (n = 146) or absence (n = 20) of CAD; (2) according to Gensini score; (3) according to the CAD-RADS score. Results: Patients with CAD had lower LMR, higher NLR, SIRI, MLR, and SII compared to patients without CAD (p < 0.001 and p = 0.018, respectively for SII). According to the CAD severity by Gensini score, the NLR, MLR, SII, and SIRI values increase and LMR decreases gradually with severity of CAD (p < 0.001). A moderate correlation was found between SII (r = 0.511, p < 0.001), NLR (r = 0.567, p < 0.001), and SIRI (r = 0.474, p < 0.001) and severity of CAD according to Gensini score. MLR and LMR had a low corelation with severity of CAD according to Gensini score (r = 0.356, p < 0.001; r = -0.355, p < 0.001, respectively). The CAD-RADS score weakly correlated with NLR and MHR (r = 0.365, p < 0.001; r = 0.346, p < 0.001, respectively), and moderately with LMR, MLR, and SIRI (r = -0.454, p < 0.001; r = 0.455, p < 0.001; r = 0.522, p < 0.001, respectively). Conclusions: NLR, LMR, and SIRI appear to be potential predictors of chronic inflammation, and SIRI is the best predictor of the degree of atherosclerosis of all the other assessed blood parameters.

Association Between Orthostatic Hypotension With Coronary Slow Flow in Patients With Chest Pain: A Single Center Experience

BACKGROUND

Orthostatic hypotension (OH) is associated with different cardiovascular diseases, however, the association between OH and coronary slow flow (CSF) has never been evaluated before.

MATERIALS AND METHODS

Chest pain patients who underwent coronary angiography (CAG) and with normal coronary arteries in our department from January 1st, 2022 to August 31st, 2023 were retrospectively enrolled. Patients were divided into the CSF group and the normal blood flow (NBF) group. Relative clinical information, laboratory test results as well as the results of CAG were collected and analyzed. Both uni-variable and multi-variable logistic regression analyses were used to evaluate the association between OH and CSF in these patients.

RESULTS

Four thousand six hundred and twenty-seven patients underwent CAG and 655 patients had normal coronary arteries. In which, sixty-nine patients were diagnosed with CSF while 586 patients were diagnosed with NBF. Uni-variable analysis revealed that higher body weight index, faster heart rate in sitting position, accompanied with chronic kidney disease, did not take Antidiabetic therapy, higher level of aspartate transaminase, uric acid, triglyceride, total cholesterol, ApoB1, low-density lipoprotein cholesterol, homocysteine, B-type natriuretic peptide as well as OH are the risk factors for CSF in these patients. Multi-variable logistic regressing analysis further demonstrated that OH was the independent risk factor for predicting CSF in these patients.

CONCLUSIONS

Our finding suggests OH might be a useful predictor for CSF in patients with chest pain but normal coronary arteries.

Association between inflammatory burden index and coronary slow flow phenomenon in patients with chest pain and no obstructive coronary arteries

BACKGROUND

The inflammatory burden index (IBI), a novel inflammation-based indicator, to is associated with the presence and prognosis of various diseases. However, few studies have focused on exploring the relationship between IBI and the coronary slow flow phenomenon (CSFP). In this study, we aimed to investigate the predictive value of IBI for CSFP in patients with chest pain and no obstructive coronary artery disease.

METHODS

A total of 1126 individuals with chest pain and no obstructive coronary arteries were consecutively included in this study. 71 patients developed CSFP were included in the CSFP group. A 1:2 age- and sex-matched patient with normal blood flow and angiographically proven normal coronary arteries was selected as the control group (n = 142). Plasma C-reactive protein (CRP), neutrophil, and lymphocyte counts were measured to determine the value of IBI.

RESULTS

The IBI were significantly higher in the CSFP group than in the controls (21.1 ± 6.5 vs. 14.5 ± 6.4, P < 0.001). The IBI increasedelevated with the increase of the numbers of vessels affected by CSFP. Multivariate logistic regression analysis revealed that IBI and body mass index (BMI) were independent predictors of CSFP. Receiver operating characteristic (ROC) curve analysis showed that when IBI was > 15.74, the sensitivity and specificity were 77.5% and 67.6%, respectively, and the area under the ROC curve (AUC) was 0.799 (95% CI: 0.737-0.862, P<0.001).

CONCLUSION

The IBI may be an independent predictor of CSFP in patients with chest pain and normal coronary arteries. The IBI could improve the predictive value of CSFP compared with the indicators alone.

Association Between Systemic Inflammation Response Index and Slow Coronary Flow Phenomenon in Patients with Ischemia and No Obstructive Coronary Arteries

Background

Inflammation plays a key role in the pathogenesis of slow coronary flow phenomenon (SCFP). SCFP is a condition that can complicate the management of ischemia and no obstructive coronary arteries (INOCA), making it essential to identify reliable predictors. Although the systemic inflammation response index (SIRI) has been proven to relate to various cardiovascular diseases. However, the predictive value of SIRI for SCFP in patients with INOCA remains unclear.

Methods

A total of 1422 patients with INOCA were consecutively included in this study. 89 individuals were diagnosed with SCFP (the SCFP group). A 1:2 age- and -sex-matched patients with INOCA and normal blood flow were selected as the control group (n=178). Plasma neutrophil, monocyte, and lymphocyte counts were collected so as to determine the value of SIRI.

Results

Patients with SCFP had an elevated level of body mass index (BMI) and an increased incidence of smoking and diabetes. The SIRI was significantly higher in the SCFP group than in the controls (2.3±1.3 vs 1.8±1.3, p=0.002). The SIRI increased as the number of coronary arteries involved in the SCFP increased. Univariate analyses showed that BMI, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and SIRI were associated with SCFP. Multivariate logistic regression analysis revealed that BMI and SIRI were independent predictors of SCFP occurrence. The ROC curve showed that when the SIRI was > 1.140, the sensitivity and specificity were 87.6% and 60.1%, respectively, and the area under the ROC curve (AUC) was 0.644 (95% CI: 0.578-0.710, P < 0.001).

Conclusion

The findings demonstrated that an increased SIRI may have a potential role in distinguishing SCFP in patients with INOCA. SIRI could improve the predictive value of SCFP compared to neutrophils, monocytes, and lymphocytes alone.

Novel predictive factor for erectile dysfunction: systemic immune inflammation index

Systemic immune inflammation index (SII) is a global parameter that comprehensively reflects body inflammation, this study aims to assess the correlation between this index and erectile dysfunction (ED). This cross-sectional study incorporated 164 ED patients and 95 healthy adult males. The collection of general demographic information and pertinent hematological data from the participants enabled the computation of corresponding SII values. Statistical analysis, encompassing descriptive statistics as well as normality and logistic regression analyses, was carried out employing SPSS version 26. The findings of the univariate analysis revealed a noteworthy distinction in triglyceride levels (TG) (P = 0.017) and SII (P < 0.001) between ED patients and the healthy population. Subsequent multivariate logistic regression analysis unveiled a significant association between SII (odd ratio (OR):1.012, 95% confidence interval (CI):1.008-1.015; P < 0.001) and the occurrence of ED. Since the impact value is not clearly visible, SII/100 is utilized to magnify the effect value one hundredfold. The regression analysis results indicate that the OR value of SII/100 is 3.171, and the 95% CI is 2.339-4.298 (P < 0.001). The Receiver Operating Characteristic (ROC) curve analysis ascertained an AUC of 0.863 (P < 0.001) for SII, with a determined cut-off value of 391.53(109/L), exhibiting a sensitivity of 81.7% and specificity of 83.2%. Moreover, when comparing patients with varying degrees of ED severity, both univariate (P < 0.001) and subsequent multivariate logistic regression analyses (OR: 1.007, 95% CI: 1.004-1.010; P < 0.001) underscored the significance of the SII value. At this point, SII/100 OR: 1.971, 95% CI: 1.508-2.576 (P < 0.001). The ROC curve analysis in this context demonstrated an AUC of 0.799 (P < 0.001), with a determined cut-off value of 746.63(109/L), featuring a sensitivity of 60.6% and specificity of 91.6%. These discerned outcomes affirm a correlation between SII and ED, establishing its potential not only in predicting the onset of ED but also in differentiating among various levels of ED severity.

Neutrophil Percentage to Albumin Ratio as a Predictor for Coronary Slow Flow Phenomenon in Patients with Myocardial Ischemia with No Obstructive Coronary Arteries

Background

Accumulating evidences suggest that low-grade inflammatory response plays a key role in the pathophysiology of coronary slow flow phenomenon (CSFP). As a new hematological inflammatory indicator, the neutrophil percentage to albumin ratio (NPAR) and its role in the occurrence and development of CSFP remains unclear. In this study, we aimed to investigate the predictive value of NPAR in the presence of CSFP in patients with myocardial ischemia and no obstructive coronary arteries (INOCA).

Methods

In total, 1323 individuals with INOCA were included in this study. 85 patients developed CSFP were included in the CSFP group. 1:2 age-and sex-matched patients were selected from the absence of CSFP, with normal blood flow, as the control group. Clinical characteristics, laboratory parameters, and angiographic findings were compared between groups. NPAR was also calculated to explore its relationship with CSFP.

Results

NPAR was significantly higher in the CSFP patients than in the controls (19.3±2.5 vs 16.7±1.8, p<0.001). The NPAR increased with the number of coronary arteries involved in CSFP. Multivariate logistic regression analysis showed that an elevated NPAR level was an independent predictor of CSFP (OR 1.915, 95% CI 1.612-2.275, P < 0.001). The ROC curve showed that when NPAR was > 17.39, the sensitivity and specificity were 90.6% and 78.8%, respectively, and the area under the ROC curve (AUC) was 0.860 (95% CI: 0.811-0.909, P < 0.001). The AUC of neutrophil percentage was 0.845 (95% CI: 0.794-0.897, p < 0.001), and that of albumin was 0.808 (95% CI: 0.753-0.864, p < 0.001).

Conclusion

Elevated NPAR levels are an independent predictor of CSFP in patients with INOCA. NPAR could improve the predictive value of CSFP compared with neutrophil percentage or albumin ratio alone.

Diagnostic value of systemic immune inflammation index in acute appendicitis and complicated appendicitis in pregnant patients

INTRODUCTION

Acute pain in the right lower quadrant during pregnancy is difficult to approach and acute appendicitis must be excluded. The complication rate in pregnant acute appendicitis increases as a result of delayed diagnosis due to physiological and anatomic changes. The systemic immune inflammatory index (SII), which includes several inflammatory tests, is considered to be a good indicator of acute inflammation. The aim of the present study was to investigate the diagnostic value of SII in the diagnosis of acute appendicitis and complicated appendicitis in pregnant women.

MATERIAL-METHOD

This was designed as a retrospective, single-center case-control study. This study was performed in pregnant women over 12 weeks of gestation who were diagnosed with acute appendicitis as indicated by pathology report and met the inclusion criteria. Vital parameters, demographic characteristics, laboratory values, presence of complicated appendicitis, and pathology reports were taken into analysis.

RESULTS

The present study was performed with 76 pregnant women, including 38 pregnant women with acute appendicitis and 38 pregnant women with healthy controls. SII had a sensitivity of 82.0% and specificity of 66.7% with a cut-off value of 840.13 in pregnant acute appendicitis cases (AUC: 0.790; 95% CI: 0.686-0.984; p < 0.001) and SII level was significantly higher in complicated appendicitis cases with a sensitivity and specificity of 66.7% and 91.3%, respectively, with a cut-off value of 2301.66 (AUC: 0.812; 95% CI: 0.665-0.958; p = 0.001).

CONCLUSION

SII is a cost-effective, rapid, easily calculated, and powerful marker that can be used for the diagnosis of both acute and complicated appendicitis in pregnant patients.

Uric acid to albumin ratio as a novel predictor for coronary slow flow phenomenon in patients with chronic coronary syndrome and non-obstructive coronary arteries

BACKGROUND

The plasma uric acid to albumin ratio (UAR) is considered as a novel indicator for Inflammation. However, the association between UAR and coronary slow flow phenomenon (CSFP) remains unclear.

METHODS

A total of 1328 individuals with chronic coronary syndrome (CCS) receiving coronary angiography (CAG) and found no obvious obstructive stenosis (< 40%) were included in this study. 79 individuals developed CSFP and were divided into CSFP group. The 1:2 age-matched patients with normal coronary blood flow were allocated to the control group (n = 158). The clinical characteristics, laboratory parameters including uric acid, albumin ratio, UAR and the angiographic characteristics were compared between the two groups.

RESULTS

Patients with CSFP had a higher level of uric acid (392.3 ± 85.3 vs. 273.8 ± 71.5, P < 0.001), UAR (10.7 ± 2.2 vs. 7.2 ± 1.9, P < 0.001), but a lower level of plasma albumin (36.9 ± 4.2 vs. 38.5 ± 3.6, P = 0.003). Moreover, UAR increased as the numbers of vessels involved in CSFP increased. The logistic regression analysis demonstrated that UAR was independent predictors for CSFP. The Receiver operating characteristic (ROC) curve analysis showed that when UAR was more than 7.9, the AUC was 0.883 (95% CI: 0.840-0.927, p < 0.001), with the sensitivity and specificity were 78.2% and 88.2% respectively.

CONCLUSION

Combined uric acid with plasma albumin, UAR could serve as an independent predictor for CSFP.

Life's essential 8 metrics and mortality outcomes in insulin resistance: The role of inflammation, vascular aging, and gender

BACKGROUND

Insulin resistance (IR) elevates cardiovascular disease (CVD) and mortality risks. Insulin resistance (IR) increases the risk of CVDs and mortality. Recently, the American Heart Association introduced the Life's Essential 8 (LE8) framework to assess cardiovascular health (CVH). However, its impact on mortality in IR populations is unknown.

METHODS

Analyzing 2005-2018 National Health and Nutrition Examination Survey data, we studied 5301 IR adults (≥20 years). LE8 scores were calculated and participants were categorized into low, moderate, and high CVH groups. Systemic immune-inflammation index (SII) and heart age/vascular age (HVA) were measured as potential mediators. Cox models estimated all-cause and CVD mortality hazard ratios (HRs), stratified by LE8 score and sex, and adjusted for covariates. Mediation analyses assessed SII and HVA's indirect effects. This study is an observational cohort study.

RESULTS

Over a 7.5-year median follow-up, 625 deaths occurred, including 159 CVD-related. Compared to low CVH, moderate and high CVH groups showed reduced all-cause (HR = 0.72, 95% CI 0.58-0.89; HR = 0.38, 95% CI 0.22-0.67) and CVD mortality (HR = 0.42, 95% CI 0.26-0.69; HR = 0.15, 95% CI 0.04-0.57). A 10-point LE8 increase correlated with 15% and 31% reductions in all-cause and CVD mortality, respectively. SII and HVA mediated up to 38% and 12% of these effects. The LE8's protective effect was more pronounced in men.

CONCLUSION

LE8 effectively evaluates CVH and lowers mortality risk in IR adults, partially mediated by SII and HVA. The findings inform clinical practice and public health strategies for CVD prevention in IR populations.

Analysis of correlative factors of female coronary slow-flow phenomenon: A retrospective study

The coronary slow-flow phenomenon (CSFP) is a manifestation of coronary artery disease wherein coronary angiography reveals no apparent stenosis; however, there is a delay in blood flow perfusion. Given its increased occurrence in male patients, with the majority of subjects in previous studies being male, this study aimed to explore whether distinct risk factors are present in female patients with CSFP. This single-center retrospective study focused on female patients diagnosed with CSFP by using coronary angiography. Eligible patients meeting the predefined inclusion and exclusion criteria were divided into the study group (presenting with CSFP) and control group (displaying normal epicardial coronary arteries). Comparative analyses of clinical and diagnostic data were performed. Ninety-two patients with CSFP and an equal number of controls were enrolled in this study. Patients with CSFP exhibited a higher prevalence of smokers (P = .017) and a heightened incidence of diabetes mellitus (DM) (P = .007). Significantly elevated levels of total cholesterol (TC) (P = .034) and free fatty acids (FFA) (P = .016) were observed in the CSFP group compared to those in the control group. Additionally, patients with CSFP displayed lower levels of apolipoprotein E (ApoE) (P = .092), free thyroxine (FT4) (P = .001), and total thyroxine (TT4) (P = .025). Logistic regression analysis indicated that smoking (P = .019), FFA (P < .001), ApoE (P = .015), and FT4 (P < .001) were independent risk factors for CSFP, accounting for confounding factors. Additionally, the area under the ROC curve (AUC) of the combined effect of smoking, ApoE, FT4, and FFA on CSFP was 0.793 (95% CI: 0.729-0.857, P < .01). In addition to the established risk factors for smoking, diabetes, and hyperlipidemia, female patients with CSFP exhibited significant differences in apoE, FFA, FT4, and TT4 levels compared to the control group. Smoking, FFA, and FT4 levels emerged as independent risk factors for CSFP.

Could Pan-Immune-Inflammation Value be a Marker for the Diagnosis of Coronary Slow Flow Phenomenon?

Inflammation plays a key role in the pathogenesis of the coronary slow flow phenomenon (CSFP). The newly developed inflammatory marker, pan-immune-inflammation value (PIV), is associated with adverse cardiovascular events. This study investigated the predictive value of PIV for diagnosing CSFP in comparison to other inflammation-based markers. A total of 214 patients, 109 in the CSFP group and 105 in the normal coronary flow (NCF) group, were retrospectively included in the study. Coronary flow was calculated using the Thrombolysis in Myocardial Infarction frame count method. In addition to PIV, other inflammatory markers such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated for the patients. The average age of patients was 50.3 ± 8.4, with a male ratio of 55.1%. Compared to the NCF group, patients in the CSFP group had higher levels of hyperlipidemia, glucose, triglyceride, NLR, PLR, SII, and PIV, while their high-density lipoprotein cholesterol (HDL-C), was lower (p < 0.05). Logistic regression analysis demonstrated that HDL-C, glucose, triglyceride, and PIV were independent predictor factors for CSFP (p < 0.05). PIV is a strong and independent predictor factor for CSFP and superior in predicting CSFP compared to other inflammatory markers.

Analysis of Risk Factors and Construction of a Predictive Model for Readmission in Patients with Coronary Slow Flow Phenomenon

Background

Coronary slow flow phenomenon (CSFP) is a phenomenon in which distal vascular perfusion is delayed on angiography, but coronary arteries are not significantly narrowed and there is no other organic cardiac disease. Patients with CSFP may be repeatedly readmitted to the hospital because of chest pain or other symptoms of precordial discomfort, and there is a risk of adverse events. In order to investigate the risk factors affecting the readmission of CSFP patients, a prediction model was constructed with the aim of identifying patients at risk of readmission at an early stage and providing a reference for further clinical intervention.

Methods

In this study, we collected clinical data from 397 CSFP patients between June 2021 and January 2023 in Xinjiang Medical University Hospital. Telephone follow-up clarified whether the patients were readmitted to the hospital. A predictive model for readmission of CSFP patients was constructed using multifactorial logistic regression. Nomogram was used to visualize the model and bootstrap was used to internally validate the model. ROC, DCA and Calibration curve were plotted to evaluate the calibration and discriminative ability of the column line graphs, respectively. Calibration and resolution of the column line graphs, respectively.

Results

A total of 34 of 397 CSFP patients experienced readmission. Smoking history, creatine kinase isoenzyme-MB, total cholesterol, and left ventricular ejection fraction were the predictors of readmission in patients with CSFP. The area under the curve of the Nomogram model was 0.87, which indicated that the model had good predictive ability and differentiation, and the DCA and Calibration curves also indicated that the model had good consistency and was clinically useful.

Conclusion

A readmission prediction model for patients with CSFP may facilitate early identification of patients at potential risk for readmission and timely interventional therapy to improve patient prognosis.

Triglyceride glucose-body mass index as a novel predictor of slow coronary flow phenomenon in patients with ischemia and nonobstructive coronary arteries (INOCA)

BACKGROUND

The triglyceride glucose-body mass index (TyG-BMI index) has been suggested as a novel predictor of insulin resistance. However, its predictive value for slow coronary flow phenomenon (SCFP) in patients with ischemia and nonobstructive coronary arteries (INOCA) remains unclear.

METHODS

We consecutively recruited 1625 patients with INOCA from February 2019 to February 2023 and divided them into two groups based on thrombolysis in myocardial infarction (TIMI) frame counts (TFCs): the SCFP group (n = 79) and the control group. A 1:2 age-matched case-control study was then performed. The TyG-BMI index was calculated as ln [plasma triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2] × BMI.

RESULTS

TyG-BMI index in the SCFP group (218.3 ± 25.2 vs 201.0 ± 26.5, P < .001) was significantly higher than in the normal controls. TyG-BMI index also increased with the number of coronary arteries involved in the SCFP. Multivariate logistic regression analysis showed that TyG-BMI, BMI, and TG were independent predictors for SCFP. Receiver operating characteristic (ROC) curve analysis showed that when the TyG-BMI index was above 206.7, the sensitivity and specificity were 88.6% and 68.5%, respectively, with an AUC of 0.809 (95% CI: 0.756-0.863, P = .027). Combined BMI with TG, the TyG-BMI index had a better predictive value for SCFP than BMI and TG (P < .001).

CONCLUSION

The TyG-BMI index was an independent predictor for SCFP in INOCA patients, and it had a better predictive value than BMI and TG.

Comparison of the effect of uric acid/albumin ratio on coronary slow flow with other inflammation-based markers

Background: Many inflammation-based markers (IBMs) have been shown to be closely related to coronary slow flow (CSF), but the effect of the uric acid/albumin ratio (UAR) on CSF and its relationship with other IBMs are not clearly known. In this study, we aimed to compare the effects of UAR and other IBMs on CSF. Methods: After the exclusion criteria, 126 patients with CSF detected on coronary angiography and 126 subjects with normal coronary flow as the control group were included in the study. Results: UAR was determined as an independent predictor for CSF. In addition, the UAR was superior to other IBMs in detecting CSF (p < 0.05 for all). Conclusion: This study is the first to investigate the effect of UAR on CSF in comparison with other IBMs.

Comparison of Systemic Immune-Inflammation Index and Naples Prognostic Score for Prediction Coronary Artery Severity Patients Undergoing Coronary Computed Tomographic Angiography

This study compared the predictive power of the systemic immune-inflammation index (SII) and Naples prognostic score (NPS) in determining the severity of coronary artery disease (CAD). The study included 1138 patients who underwent coronary computed tomographic angiography (CCTA). The primary outcome was the evaluation of CAD severity, determined by the Coronary Artery Disease-Reporting and Data System (CAD-RADS) obtained from the CCTA scans. A basic statistical model including age, gender, chest pain, diabetes mellitus, hypertension, hyperlipidemia, and smoking was built, and categorical variables, NPS (Naples 3,4 vs 0,1,2) and SII, were added to the basic statistical model. The net benefits of the predictive parameters were determined by a decision curve analysis, and the association between CAD-RADS and NPS, SII was quantified by odds ratios (OR) and 95% confidence intervals (CI). The decision curve analysis showed that adding SII to the statistical model had a better full range of probability of clinical net benefit compared with the baseline model (OR: 5.77, 95% CI 4.15-8.02, P < .001). However, adding the NPS (P = .11) to the model did not outperform the basic statistical model. In conclusion, the SII may have a net predictive effect on top of traditional risk factors.

Assessment of the relationship between plasma fibrinogen-to-albumin ratio and slow coronary flow phenomenon in patients without obstructive coronary artery disease

BACKGROUND

Prior studies have suggested that the chronic inflammatory response has an important role in the pathophysiology of slow coronary flow phenomenon (SCFP). However, data are scarce regarding the role of plasma fibrinogen-to-albumin ratio (PFAR) in patients having SCFP without obstructive coronary artery disease (CAD). In this study, we investigated the relationship between PFAR and the presence of SCFP in patients without obstructive CAD.

METHODS

From January 2021 to January 2023, we consecutively recruited 1085 patients without obstructive CAD according to the diagnostic and exclusion criteria. In total, SCFP was diagnosed in 70 patients. A 1:2 age-matched case-control study was then conducted using comparators without SCFP. Ultimately, this study enrolled 70 patients with angiographically normal coronary arteries and SCFP, along with 140 comparators with angiographically normal coronary arteries and normal coronary flow. Plasma fibrinogen and albumin levels were measured, and the PFAR was then calculated for each patient.

RESULTS

PFARs were significantly greater in the SCFP group than in the comparators with normal coronary flow (82.8 ± 15.4 vs 73.1 ± 19.5, p < 0.001). PFAR increased with increasing numbers of vessels affected by SCFP. Multivariate logistic regression analysis showed that PFAR was an independent predictor of SCFP (odds ratio: 1.818, p = 0.015). Receiver operating characteristic (ROC) curve analysis indicated that PFAR showed a better predictive value of SCFP than fibrinogen or albumin, although not significantly (p > 0.05).

CONCLUSION

PFAR is an independent predictor of SCFP in patients without obstructive CAD. PAFR could improve the predictive value of SFCP than albumin or fibrinogen alone, but not significantly.