Association of serum uric acid levels with SYNTAX score II and long term mortality in the patients with stable angina pectoris who undergo percutaneous coronary interventions due to multivessel and/or unprotected left main disease

Two still unanswered questions about uric acid and cardiovascular prevention: Is a specific uric acid cut-off needed? Is hypouricemic treatment able to reduce cardiovascular risk?

AIMS

The most frequent consequence of elevated uric acid (UA) levels is the development of gout and urate kidney disease. Besides these effects, several studies have investigated the association between hyperuricemia and cardiovascular (CV) disease. High serum UA has been identified as an important determinant of all-cause and CV mortality and CV events (acute and chronic coronary syndrome, stroke and peripheral artery disease). Despite the high number of publications on this topic, there are two questions that are still unanswered: do we need a specific CV cut-off of serum UA to better refine the CV risk? Is urate lowering treatment (ULT) able to reduce CV risk in asymptomatic patients? In this review, we will focus on these two points.

DATA SYNTHESIS

Although no doubt exists that the relationship between CV events starts at lower levels than the actually used cut-off, different papers found dissimilar cut-offs. Furthermore, heterogeneity is present depending on the specific CV events evaluated and none of the found cut-off have been tested in external populations (in order to confirm its discriminatory capacity). Furthermore, only few randomized clinical trials on the role of hypouricemic agents in reducing the CV risk have been published giving heterogeneous results. The last published one (ALL-HEART) has strong limitations, that we will deeply discuss.

CONCLUSIONS

A definitive answer to the two questions is impossible with the actually published paper but, over identifying current gaps in knowledge we try to individuate how they can be overruled.

Association of Serum Uric Acid with Non-Valvular Atrial Fibrillation: A Retrospective Study in China

Purpose

The association between serum uric acid (SUA) and atrial fibrillation (AF) has been widely focused on and studied in recent years. However, the exact association between SUA and AF is unclear, and the effect of gender on the association between SUA levels and AF has been controversial. This study aimed to investigate the association between SUA levels and non-valvular AF (NVAF) and the potential effect of gender on it.

Patients and Methods

A total of 866 NVAF patients (463 males, age 69.44 ± 8.07 years) and 646 sex-matched control patients in sinus rhythm, with no history of arrhythmia were included in this study. t-test, ANOVA, and chi-square test were used for baseline data analysis. The receiver operating characteristic curve, logistic regression and Pearson correlation analysis were used for correlation analysis.

Results

Compared to controls, NVAF patients exhibited higher SUA (P<0.001). After adjusting for confounders of NVAF, SUA remained significantly associated with NVAF, regardless of gender (OR= 1.31, 95% CI 1.18-1.43, P<0.001). SUA demonstrated higher predictability and sensitivity in predicting the occurrence of female NVAF compared to male (area under the curve was 0.68 (95% CI 0.64-0.72, P<0.001), sensitivity 87.3%), with the optimal cut-off point identified as 5.72 mg/dL. Furthermore, SUA levels correlated with APOA1, Scr and NT-proBNP in NVAF patients. SUA levels varied significantly among NVAF subtypes.

Conclusion

High SUA levels were independently associated with NVAF, regardless of gender. SUA exhibited higher predictability and sensitivity in predicting the occurrence of NVAF in females compared to males. High SUA levels may affect other NVAF-related factors and participate in the pathophysiological process of NVAF.

The Causal Relationship between Angina Pectoris and Gout Based on Two Sample Mendelian Randomization

Purpose

Two-sample Mendelian randomization (MR) was conducted to assess the causal relationship between angina pectoris and gout. Material and Methods. Based on genome-wide association studies, single nucleotide polymorphisms (SNPs) that were closely associated with gout were selected from the UK Biobank-Neale Lab (ukb-a-107) as genetic instrumental variables. Considering that gout is characterized by elevated blood uric acid levels, SNPs related to blood uric acid levels were screened from BioBank Japan (bbj-a-57) as auxiliary gene instrumental variables. SNPs closely associated with angina pectoris onset were screened from the FINN dataset (finn-b-I9_ANGINA) as outcome variables. Two-sample MR was conducted, with inverse variance weighting (IVW) of the random effects model as the primary result, along with the weighted median method (WME) and the MR-Egger regression method. To further confirm the causal relationship between angina and gout incidence, a meta-analysis was conducted on the IVW results of the ukb-a-107 and bbj-a-57.

Results

The odds ratios and 95% confidence intervals of the IVW, WME, and MR-Egger results of ukb-a-107 were (OR = 33.72; 95% CI: 2.07∼550.38), (OR = 57.94; 95% CI: 2.75∼1219.82), and (OR = 96.38; 95% CI: 0.6∼15556.93), respectively. The P values of IVW and WME were 0.014 and 0.014 (both <0.05), respectively, indicating that the development of angina pectoris was significantly associated with the incidence of gout. The odds ratios and 95% confidence intervals of the IVW, WME, and MR-Egger about bbj-a-57 were (OR = 1.20; 95% CI: 1.07∼1.34), (OR = 1.19; 95% CI: 1.02∼1.38), and (OR = 1.30; 95% CI; 1.06∼1.60), respectively. The P values of IVW, WME and MR-Egger were 0.001, 0.027 and 0.017 (all <0.05), respectively, indicating a significant correlation between angina and blood uric acid levels. Scatter plots of ukb-a-107 and bbj-a-57 showed that the causal association estimates of the IVW, MR-Egger, and weighted median methods were similar and that the MR results were accurate. Funnel plots and the MR-Egger intercept of ukb-a-107 and bbj-a-57 showed the absence of horizontal pleiotropy. The leave-out sensitivity analysis results of ukb-a-107 and bbj-a-57 are stable. The meta-analysis of IVW results for ukb-a-107 and bbj-a-57 showed (OR = 1.20; 95% CI: 1.07-1.34, P=0.02), confirming that gout characterized by high blood uric acid levels significantly increases the risk of angina attacks.

Conclusions

This MR study found a clear causal relationship between angina pectoris and gout, which increases the risk of angina pectoris.

Relation Between Serum Uric Acid to Albumin Ratio and Severity of Chronic Coronary Artery Disease

Uric acid (UA) to albumin ratio (UAR) is an emerging marker to predict coronary artery disease (CAD)-related events. There is limited data on the relationship between UAR and the severity of the disease in chronic CAD patients. We aimed to evaluate UAR as an indicator for CAD severity using the Syntax score (SS). We retrospectively enrolled 558 patients with stable angina pectoris and underwent coronary angiography (CAG). Patients were divided into 2 groups, according to CAD severity: low SS (≤22) and intermediate-high SS (>22) groups. UA levels were higher and albumin levels were lower in the intermediate-high SS score group (P < .001). UAR levels were significantly higher in the intermediate-high SS group (P < .001). Also, there was a significant correlation between UAR levels and SS (r = .55, 95% confidence interval (CI): .49-.60, P < .001). In multivariable analysis, UAR >1.34 (Odds ratio, 3.8 [2.3-6.2]; P < .001) was an independent predictor of intermediate-high SS while albumin and UA levels were not. In conclusion, UAR predicted disease burden in chronic CAD patients. It may prove useful as a simple and readily available marker to select patients for further evaluation.

The Correlation of Serum Uric Acid Levels With the Severity of Coronary Artery Disease in Diabetic Patients: A Cross-Sectional Study

Background and aim  Coronary artery disease (CAD) is a severe and life-threatening complication in patients with diabetes, resulting in significant morbidity and death burden globally. Although serum uric acid levels have been linked to the aetiology of both CAD and diabetes, the association between uric acid and CAD severity in diabetic patients remains unknown. This study aimed to investigate the relationship between serum uric acid levels and the severity of CAD in patients with diabetes undergoing coronary angiography. This study also compared patient parameters and comorbidities linked with high uric acid levels. Material and methods This cross-sectional study was conducted at the Lady Reading Hospital in Peshawar, Pakistan, from October 20, 2022, to September 20, 2023. A total of 290 patients with diabetes were enrolled. These participants were divided into groups depending on their serum uric acid levels: Group A (n = 145) and Group B (n = 145). On average, patients in Group A had high serum uric acid levels, whereas those in Group B had normal serum uric acid levels. Coronary angiograms were analysed using well-established assessment methods to determine the severity of CAD using the Syntax score as the mean score was greater for Group A with higher serum uric acid levels than Group B.  Results The mean age of patients in Group A was 59.2±7.1 years, whereas in Group B, it was 60.5±6.8 years. The percentage of male patients in Group A was 62% and 58.6% in Group B. The mean BMI for group A was 28.4±2.3 kg/m2, while the mean BMI for group B was 27.9±2.1 kg/m2. In both groups, the prevalence of hypertension, dyslipidemia and family history of CAD did not differ significantly. Group A's mean serum uric acid levels were 8.17 ± 1.64, while in Group B, 5.03 ± 1.09. Similarly, the mean Syntax score, which is a visual estimate of CAD burden and complexity, was higher in Group A (37.59 ± 3.41) compared to Group B (26.44 ± 2.97), and the difference was statistically significant (p = 0.001). The severity of CAD based on syntax score was found to be significantly different in both groups (p=0.04). Conclusion This study illustrates that patients with high uric acid levels are more likely to have CAD as indicated by a higher mean Syntax score in Group A compared to Group B. However, serum uric acid levels alone cannot accurately predict the severity of CAD on coronary angiography in diabetic patients. These findings add to the evidence already available, emphasizing the significance of serum uric acid as a potential biomarker for risk stratification in this vulnerable population.

Association of Novel Hematological Indices with Severity of Coronary Artery Disease using SYNTAX Score in Patients with Acute Coronary Syndrome

INTRODUCTION

Recent evidence suggests that systemic inflammation not only plays an important role in the pathogenesis of Acute Coronary Syndrome but also correlates with disease severity. Monocyte-to-high-density lipoprotein cholesterol ratio (MHR), Neutrophil-Lymphocyte Ratio (NLR), and Monocyte-Lymphocyte Ratio (MLR) are novel systemic inflammation markers used for predicting the burden of coronary artery disease (CAD) based on SYNTAX Score. This single-center, cross-sectional, observational study compared the association of these novel hematological indices with CAD severity using the SYNTAX Score in ACS patients and aimed to determine the best predictor of the severity of CAD.

METHODS

A total of 403 consecutive patients with ACS who underwent coronary angiography were enrolled. On the basis of the SYNTAX Score, patients were divided into three groups: Low: <22, Moderate 22 - 32 and High ≥ 32. MHR, MLR, and NLR were calculated and correlated with SYNTAX Score.

RESULTS

All three indices: MHR (r=0.511; p <0.001), MLR (r=0.373; p <0.001), and NLR (r=0.292; p =0.001) showed significant correlation with SYNTAX Score. The MHR ROC was significantly higher than that of MLR (difference between area: 0.158; 95% CI: 0.079-0.259) and NLR (difference between area: 0.279; 95% CI: 0.172-0.419) for the SYNTAX Score. Analysis showed a strong correlation between these indices with SYNTAX Score >22 compared to low scores <22 and that these also related to the LAD as an infarct artery. Multiple regression analysis showed that diabetes mellitus, eGFR, Infarct-related artery left anterior descending (IRALAD), MHR, MLR, and NLR were predictors of the severity of CAD in ACS patients based on SYNTAX Score.

CONCLUSION

In ACS patients MHR, MLR, and NLR showed significant correlation with SYNTAX score >22 which may be indicative of severity of disease. MHR is a better predictor of the severity of CAD than MLR and NLR in ACS patients.

The Potential of Prognostic Biomarkers of Uric Acid Levels in Coronary Heart Disease Among Aged Population: A Scoping Systematic Review of the Latest Cohort Evidence

BACKGROUND

This study sought to determine whether uric acid levels have a relationship with and can potentially be used as a prognosis for coronary heart disease (CHD) biomarkers using a scoping review.

METHODS

This study was conducted following Arksey and O'Malley's scoping review framework. It was reported as obeying the Preferred Reporting Item for Systematic Review and Meta-analysis for Scoping Review (PRISMA-ScR). The subject was extensively searched for in PubMed, CINAHL, and ScienceDirect. The inclusion criteria in the study were that the sources were journal articles written in English and were available in full text. The age of the subject in the item is the elderly population to capture the relationship between uric acid levels and the prognosis of CHD. The publication time limit was 2010 to 2020. The study was analyzed using thematic analysis.

RESULTS

We identified 592 studies in our initial search, and 21 studies with a cohort design were included in this study's analysis. The majority of the evidence suggests an independent correlation with a poor prognosis of CHD in the elderly population. The prognosis of gout includes the prognosis of clinical outcome, severity, and mortality, all of which influence the prognosis value, which becomes a marker.

CONCLUSION

Uric acid levels have been identified as a potential biomarker for poor CHD prognosis. Nurses and other healthcare workers should learn how to control poor CHD prognosis.

The Role of Uric Acid in Acute and Chronic Coronary Syndromes

Uric acid (UA) is the final product of the catabolism of endogenous and exogenous purine nucleotides. While its association with articular gout and kidney disease has been known for a long time, new data have demonstrated that UA is also related to cardiovascular (CV) diseases. UA has been identified as a significant determinant of many different outcomes, such as all-cause and CV mortality, and also of CV events (mainly Acute Coronary Syndromes (ACS) and even strokes). Furthermore, UA has been related to the development of Heart Failure, and to a higher mortality in decompensated patients, as well as to the onset of atrial fibrillation. After a brief introduction on the general role of UA in CV disorders, this review will be focused on UA's relationship with CV outcomes, as well as on the specific features of patients with ACS and Chronic Coronary Syndrome. Finally, two issues which remain open will be discussed: the first is about the identification of a CV UA cut-off value, while the second concerns the possibility that the pharmacological reduction of UA is able to lower the incidence of CV events.

Uric acid in chronic coronary syndromes: Relationship with coronary artery disease severity and left ventricular diastolic parameter

BACKGROUND AND AIMS

Uric Acid (UA) has been related to the development of Cardio-Vascular (CV) events in patients affected by Chronic Coronary Syndromes (CCS). Among various hypothesis, two arise: UA may negatively act on coronary artery determining a higher degree of atherosclerotic disease, and/or on heart determining a higher prevalence of diastolic dysfunction. Both the above hypothesized effects are object of our investigation.

METHODS AND RESULTS

231 patients who were admitted to the cardiological department of the Niguarda Hospital (Milan, Italy) for CCS from January 2017 to June 2018 were enrolled. Coronary atherosclerotic burden was evaluated from coronary angiography as the number and type of involved vessels, as well as with both Gensini and Syntax scores. All subjects underwent a complete echocardiogram. At unadjusted and adjusted/multivariable analysis, UA levels were not significantly associated with variables analysed from the coronary angiography (number and type of vessels involved, neither the Gensini and Syntax scores) as well as with echocardiographic parameters regarding systolic and diastolic function.

CONCLUSIONS

In conclusion, the main finding of our work is the absence of a role for UA in determining coronary arteries disease as well as LV diastolic dysfunction in CCS subjects. Taking together the results of previous studies with ours, we hypothesize that UA could act on heart (both on coronary arteries and on LV function) in an early phase of the disease, whereas while in the advanced stages other factors (previous myocardial infarction, previous myocardial revascularization and so on) may overshadow its effects.

Periaortic adipose tissue volume is associated with sclerotic changes in the adjacent aortic valve

Aortic sclerosis is associated with increased cardiovascular mortality and morbidity. Numerous studies have shown that visceral adiposity is associated with development of atherosclerosis, especially in the adjacent vascular wall. Considering the similar pathophysiology of aortic sclerosis and atherosclerosis, it can be hypothesized that visceral adipose tissue adjacent to aortic valve may be associated with aortic sclerosis. In this study, we investigated the relationship between periaortic adipose tissue volume and sclerotic changes in the adjacent aortic valve. In this retrospective study, 80 patients with a concurrent MSCT and echocardiography in the last 6 months were enrolled. Echocardiographic examinations were retrospectively evaluated regarding the presence of aortic sclerosis. Periaortic adipose tissue volume was calculated on a computer assisted work station (Leonardo Workstation, Siemens, Erlangen, Germany) by an experienced radiologist. Patient group (61.63 ± 8.55 years and 50% male) and the control group (61.45 ± 5.68 years, 50% male) each consisted 40 participants. Patient group had significantly higher BUN (42.50 (15.00-211.00) vs. 34.00 (12.00-107.00) mg/dL, p = 0.003), uric acid (5.40 (3.40-14.70) vs. 4.30 (2.30-6.70) ng/mL, p = 0.005) and LDL-C levels (121.50 (60.00-215.00) vs. 86.50 (49.00-209.00) mg/dL, p = 0.001) when compared to control group. Patient group had also significantly higher periaortic adipose tissue volume (32.45 (11.70-51.23) vs. 16.00 (6.29-32.96) ml, p < 0.001). Multivariate regression analysis revealed that periaortic adipose tissue volume was independently associated with the presence of aortic sclerosis (OR 0.241, 95% CI 0.143-0.946, p = 0.001). In this study, we demonstrated for the first time that periaortic adipose tissue volume was independently associated with the presence of sclerotic changes in the adjacent aortic valve.

The Association of Syntax Score with Levels of Lipoprotein(a) and Inflammatory Biomarkers in Patients with Stable Coronary Artery Disease and Different Low-Density Lipoprotein Cholesterol Levels

INTRODUCTION

Lipoprotein(a) (Lp(a)) is associated with the severity of coronary lesions evaluated using Syntax score in patients with stable coronary artery disease (CAD). However, the effect of low-density lipoprotein cholesterol (LDL-C) levels on the association of Lp(a) levels with Syntax score remains unclear.

METHODS

A total of 646 patients with stable CAD were enrolled in the present study. Lp(a) levels were measured with an AU5800 Chemistry Analyzer. Syntax scores were calculated by two advanced interventional cardiologists. SPSS 22.0 was used for statistical analyses.

RESULTS

The concentration of Lp(a) ranged from 1 to 192 mg/dL. Pearson's correlation analysis showed a positive correlation between Syntax score and the level of Lp(a) (r = 0.108, p = 0.006). The LDL-C ≥100 mg/dL group presented with a higher Lp(a) level, 16 (9-29) vs 13 (7-24). Pearson's correlation analysis identified a correlation between Lp(a) level and Syntax score (r = 0.249, p < 0.001) only in the LDL-C ≥100 mg/dL group. Multivariate logistic regression analysis revealed the positive predictive value of an Lp(a) level >30 mg/dL for a Syntax score ≥23 only in the LDL-C ≥100 mg/dL group, adjusted odds ratio 2.895, p = 0.010. A receiver operating characteristic curve analysis confirmed the predictive value of Lp(a) levels for a Syntax score ≥23 in the LDL-C ≥100 mg/dL group with a cutoff value for Lp(a) >30 mg/dL.

DISCUSSION

The association between Lp(a) level and Syntax score was only maintained in the LDL-C ≥100 mg/dL group. An Lp(a) level >30 mg/dL was an independent predictor of a Syntax score ≥23 only in the LDL-C ≥100 mg/dL group. The effect of LDL-C levels on the association of Lp(a) levels with Syntax score requires further investigations.