Relationship between hyperuricemia and risk of coronary heart disease in a middle-aged and elderly Chinese population

Association between hyperuricemia and chronic total coronary occlusion in non-chronic kidney disease populations: a cross-sectional study

BACKGROUND

Chronic total coronary occlusion (CTO) is an extremely hazardous condition that leads to various clinical phenomena and complications and results in social and economic burdens. Hyperuricemia (HU) is often associated with atherosclerosis. Few studies, however, have investigated the risk of CTO in individuals with HU and the role of traditional cardiovascular risk factors in this setting.

METHODS

A cohort of 1245 individuals without chronic kidney disease from southwest China who underwent coronary angiography between February 2018 and June 2021 were enrolled. CTO was defined as a total occlusion of any coronary artery or arteries for more than 3 months. HU was defined as a serum uric acid level of ≥420 µmol/L in men and ≥360 µmol/L in women. Univariate and multivariate logistic regression models and subgroup analyses were applied to assess the relationship between HU and CTO.

RESULTS

After adjustment, HU was noted to be associated with a 1.47-fold increase in the risk of CTO [odds ratio (OR), 1.47; 95% confidence interval (CI), 1.06-2.58; P = 0.026]. As a continuous variable, uric acid was an independent predictor of CTO (OR, 1.002; 95% CI, 1.001-1.004; P = 0.047). Subgroup analyses showed that the risk of CTO was higher among individuals under 65 years of age (OR, 2.77; 95% CI, 1.3-5.89), nonobese individuals (OR, 1.9; 95% CI, 1.16-3.1), and those with dyslipidemia (OR, 1.8; 95% CI, 1.04-3.11), while sex, smoking, hypertension, and diabetes did not show similar effects. Interaction analyses revealed no interaction among subgroups.

CONCLUSION

Among individuals residing in southwest China, HU was associated with an increased risk of CTO in non-CKD individuals, especially those under 65 years of age and nonobese and dyslipidemic individuals.

Predictive nomogram models for atrial fibrillation in COPD patients: A comprehensive analysis of risk factors and prognosis

The aim of the present study was to identify the independent risk factors and prognostic indicators for atrial fibrillation (AF) in patients with chronic obstructive pulmonary disease (COPD) and to develop predictive nomogram models. This retrospective study included a total of 286 patients with COPD who were admitted to the Second Affiliated Hospital of Guilin Medical College between January 2020 and May 2022. The average age of the patients was 77.11±8.67 years. Based on the presence or absence of AF, the patients were divided into two groups: The AF group (n=87) and the non-AF group (n=199). Logistic regression analysis was conducted to identify variables with significant differences between the two groups. Nomogram models were constructed to predict the occurrence of AF in COPD patients and to assess prognosis. Survival analysis was performed using the Kaplan-Meier method. The follow-up period for the present study extended until April 31, 2023. Survival time was defined as the duration from the date of the interview to the date the participant succumbed or the end of the follow-up period. In the present study, age, uric acid (UA) and left atrial diameter (LAD) were found to be independent risk factors for the development of AF in patients diagnosed with COPD. The stepwise logistic regression analysis revealed that age had an odds ratio (OR) of 1.072 [95% confidence interval (CI): 1.019-1.128; P=0.007], UA had an OR of 1.004 (95% CI: 1.001-1.008; P=0.010) and LAD had an OR of 1.195 (95% CI: 1.098-1.301; P<0.001). Univariate and multivariate Cox regression analysis revealed that LAD and UA were independent prognostic factors for long-term mortality in COPD patients with AF. LAD had a hazard ratio (HR) of 1.104 (95% CI: 1.046-1.165; P<0.001) and UA had an HR of 1.004 (95% CI: 1.000-1.008; P=0.042). Based on these findings, predictive nomogram models were developed for AF in COPD patients, which demonstrated good discrimination ability with an area under the curve of 0.886. The prognostic nomogram for COPD patients with AF also showed good predictive accuracy with a concordance index of 0.886 (95% CI: 0.842-0.930). These models can provide valuable information for risk assessment and prognosis evaluation in clinical practice. Age, UA and LAD are independent risk factors for AF in COPD patients. The developed nomogram models provide a reliable tool for predicting AF in COPD patients and for prognosis assessment.

Effects of health concept model-based detailed behavioral care on mood and quality of life in elderly patients with chronic heart failure

BACKGROUND

With the intensification of social aging, the susceptibility of the elderly population to diseases has attracted increasing attention, especially chronic heart failure (CHF) that accounts for a large proportion of the elderly.

AIM

To evaluate the application value of health concept model-based detailed behavioral care in elderly patients with CHF.

METHODS

This study recruited 116 elderly CHF patients admitted from October 2018 to October 2020 and grouped them according to the nursing care that they received. The elderly patients who underwent health concept model-based detailed behavioral care were included in a study group (SG; n = 62), and those who underwent routine detailed behavioral nursing intervention were included as a control group (CG; n = 54). Patients’ negative emotions (NEs), quality of life (QoL), and nutritional status were assessed using the self-rating anxiety/ depression scale (SAS/SDS), the Minnesota Living with Heart Failure Ques-tionnaire (MLHFQ), and the Modified Quantitative Subjective Global Assessment (MQSGA) of nutrition, respectively. Differences in rehabilitation efficiency, NEs, cardiac function (CF) indexes, nutritional status, QoL, and nursing satisfaction were comparatively analyzed.

RESULTS

A higher response rate was recorded in the SG vs the CG after intervention (P < 0.05). After care, the left ventricular ejection fraction was higher while the left ventricular end-diastolic dimension and left ventricular end systolic diameter were lower in the SG compared with the CG (P < 0.05). The post-intervention SAS and SDS scores, as well as MQSGA and MLHFQ scores, were also lower in the SG (P < 0.05). The SG was also superior to the CG in the overall nursing satisfaction rate (P < 0.05).

CONCLUSION

Health concept model-based detailed behavioral care has high application value in the nursing care of elderly CHF patients, and it can not only effectively enhance rehabilitation efficiency, but also mitigate patients’ NEs and improve their CF and QoL.

Profile of cardiovascular disease risk in type 2 diabetes mellitus patients receiving statin therapy: A cross-sectional study

Background

Cardiovascular disease is still the number 1 cause of death globally. Meanwhile, type 2 diabetes mellitus (T2DM) is a risk factor for atherosclerosis vascular disease (ASCVD), so an assessment using Framingham Risk Score (FRS) is needed to predict the risk of ASCVD in the future.

Objective

Analyzing the risk factor of ASCVD using the Framingham Risk Score (FRS) in T2DM patients.

Methods

This study was conducted from July 2020 to July 2021, which the participants were measured for FRS including age, gender, current smoking, diabetes, blood pressure (systolic), high-density lipoprotein (HDL) cholesterol, total cholesterol (TC), and ASCVD risk score. The analysis employed multiple linear tests and ANOVA tests with p < 0.05.

Results

Several ASCVD risk factors in T2DM patients were found, including gender (t = 6.015; p < 0.001), age (t = 6.901; p < 0.001), HDL level (t = 2.287; p = 0.024), CT level (t = 5.273; p < 0.001), blood pressure (t = 5.850; p < 0.001), and current smoking (t = 2.638; p = 0.009). The results of analysis between ASCVD risk factor and level of ASCVD risk obtained a significant association (F = 36,642; p < 0.001).

Conclusion

Risk factors of ASCVD in T2DM patients such as gender, age, HDL level, CT level, blood pressure, and current smoking.

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Risk factors of ASCVD include gender, age, HDL level, CT level, blood pressure, and current smoking in T2DM patients.

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Significant ASCVD risk factors are age, gender, TC level, and blood pressure.

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The Framingham Risk Score is used to predict ASCVD in T2DM patients in the next 10 years.

Hyperuricemia is Related to the Risk of Cardiovascular Diseases in Ethnic Chinese Elderly Women

Background

The association between hyperuricemia (HUA) and cardiovascular diseases (CVDs) is not fully elucidated.

Objective

To assess the relationship according to factors of sex and age in the Chinese ethnic groups.

Methods

We performed a population-based cross-sectional study in a multi-ethnic population from southwestern China. HUA patients were identified by serum uric acid ≥7 mg/dL in men and 6 mg/dL in women. The outcome was composite prevalent CVDs, including coronary heart disease (CHD), stroke, and arrhythmia. Multivariate logistic regression analysis, estimating odds ratio (ORs) and 95% confidence intervals (CIs), were applied to evaluate the HUA-CVDs relationship.

Results

We included 16,618 people (37.48% Dong, 30.00% Miao, and 32.52% Bouyei) aged 30-79 years without a reduced estimated glomerular filtration rate <60 mL/min/1.73 m2. CVDs developed in 250 Dong, 196 Miao, and 205 Bouyei adults. Among women, HUA was positively associated with the risk of stroke in Dong ethnicity and CVDs in Bouyei ethnicity (ORs (95% CIs) 2.02 (1.07-3.81) and 1.66 (1.06-2.59)) compared with non-HUA. In the age-specific analysis, HUA was related to the risk of CVDs (OR 2.32, 95% CI 1.00-5.38) and CHD (5.37, 1.61-17.89) among Miao people aged < median age, CVDs (1.52, 1.11-2.08) and stroke (1.67, 1.02-2.72) among Dong adults aged ≥ median age, and CVDs (1.67, 1.16-2.40) and CHD (1.77, 1.13-2.77) among Bouyei ethnicity aged ≥ median age. After stratification by sex and the median age, for women aged > 50 years, a 55% (1.55, 1.00-2.39) and 65% (1.65, 1.02-2.66) increased risk for CVDs was observed in Dong and Bouyei ethnicities.

Conclusions

HUA may be related to an increased risk of CVDs among women in the Dong and Bouyei ethnic groups in China, especially women aged > 50 years.

Hyperuricaemia is an important risk factor of the erectile dysfunction: A systematic review and meta-analysis

Serum uric acid can affect endothelial function, and hyperuricaemia-induced endothelial dysfunction is involved in the pathogenesis of cardiovascular diseases. As endothelial dysfunction is also a main pathogenic mechanism of erectile dysfunction (ED), the present study aims to evaluate the relationship between hyperuricaemia and ED via systemic review and meta-analysis. Five cohort studies and six cross-sectional studies on hyperuricaemia and ED, including a total of 454,510 participants, were recruited. Odds ratio (OR) and the 95% confidence intervals (CI) were adopted to estimate the relationship between hyperuricaemia and ED. Overall risk on effects of urate-lowering therapy (ULT) were analysed. In addition, subgroup analyses on study design, populations, age stratification and the object were conducted. In the patients with hyperuricaemia, the risk of ED was 1.59-fold higher than (pooled OR = 1.59, 95% CI [1.29, 1.97]) the non-hyperuricaemia counterparts. Urate-lowing therapy (ULT) in these hyperuricaemia patients reduced the risk of ED by 27% (OR = 1.27, 95% CI [1.14, 1.41]). After subgroup analysis, the association between hyperuricaemia and ED remained significant apart from the >60 years subgroup. Hyperuricaemia is an important risk factor of ED, while ULT can reduce the risk of ED in hyperuricaemia. This study suggests that hyperuricaemia-associated endothelial dysfunction may also underlie the pathogenesis of ED in these patients.

A multiethnic association analysis of hyperuricaemia with cardiovascular risk in rural and urban areas in Chinese adults

Comprehensive research on rural-urban disparities in the association of hyperuricaemia (HUA) with cardiovascular disease (CVD) in China, especially among minority groups, is limited. We explored the HUA-CVD relationship between rural and urban areas within ethnic Chinese groups. We included Dong, Miao, and Bouyei adults in Southwest China from the China Multi-Ethnic Cohort Study. Multivariable logistic regression models were used to assess the relationship between HUA and CVD in both residences. We performed stratified analyses by sex and age. The study population included 16,618 people (37.48% Dong, 30.00% Miao, and 32.52% Bouyei) without a reduced estimated glomerular filtration rate. We identified 476 (188 Dong, 119 Miao, and 169 Bouyei) and 175 (62 Dong, 77 Miao, and 36 Bouyei) CVD cases in rural and urban areas. Compared to urban residents, an at least 49% increased CVD risk (adjusted OR 1.49, 95%CI 1.06-2.08 for the Dong ethnic group; 1.55, 1.07-2.25 for the Bouyei ethnic group) and a 1.65-fold elevated coronary heart disease risk (1.65, 1.03-2.64) related to HUA was present in rural residents. Moreover, HUA was positively associated with increased risk of CVD and coronary heart disease in rural women (2.05, 1.26-3.31; 2.11, 1.19-3.75) and rural older adults (1.83, 1.22-2.75; 2.32, 1.39-3.87) among the Bouyei ethnic group, respectively. We found rural elderly individuals with HUA among the Dong ethnic group had a 52% elevated risk of CVD (1.52, 1.05-2.21); furthermore, an at least 79% increased risk of stroke related to HUA was observed in women (2.24, 1.09-4.62) and elderly people (1.79, 1.02-3.13) in rural areas among the Dong ethnic group. But a positive association was not found among the Miao ethnic group. Screening early-onset HUA patients may be helpful for the control and prevention of CVD in rural residents, especially for women and older adults living in a rural community, among the Dong and Bouyei ethnic groups in China.

High Uric Acid Level Predicts Early Neurological Deterioration in Intracerebral Hemorrhage

OBJECTIVE

Increased level of serum uric acid (UA) is often considered a risk factor for ischemic stroke. However, there are limited data on the association between UA and intracerebral hemorrhage (ICH). This study aimed to examine the connection between UA and early neurological deterioration (END) in patients with ICH.

METHODS

This is a prospective observational study. Patients with ICH were enrolled from January 2017 to December 2020. END was diagnosed as the Canadian Stroke Scale (CSS) score decreased ≥1 points between admission and 48 hours. UA was measured at admission. Multivariable logistic regression analysis was performed to explore the relationship between serum UA and END.

RESULTS

Of the 498 enrolled patients, 132 (26.5%) were developed with END. Patients with END had a significantly higher level of serum UA (332 vs 270 µmol/L, P < 0.001). Univariate logistic regression analysis indicated that patients with the highest quartile of UA level had an OR of 3.256 (95% CI: 1.849-5.734, P < 0.001) for END compared with those with the lowest quartile of UA level. After adjusting for major confounders, the highest UA quartile remained as an independent predictor for END (OR = 2.282, 95% CI: 1.112-4.685, P = 0.013).

CONCLUSION

Higher serum UA level was independently associated with END in patients with ICH; therefore, intervention to lower UA level may be worth considering.

Establishment of a diagnostic model of coronary heart disease for patients with diabetic foot

This study aims to establish a diagnostic model of coronary heart disease (CHD) for diabetic foot (DF) patients.The clinical data of 489 hospitalized patients with DF were retrospectively analyzed in this case-control study. The patients were divided into the CHD group (DF with CHD, n = 212) and the control group (DF without CHD, n = 277). Univariate analysis was performed to screen for CHD-related risk factors, and multivariate logistic regression analysis was conducted to determine significant CHD risk factors. Scores were assigned according to the ratio of risk factors (OR) to establish a diagnostic model of CHD for patients with DF. The area under the ROC curve was used to test the application value of the diagnostic model.The logistic regression analysis showed that the risk factors for CHD in DF patients were age, duration of diabetes, toe-brachial index, hyperuricemia, and chronic renal insufficiency. The area under the ROC curve of the diagnostic model was 0.798 (0.759-0.837), the diagnostic point of CHD was 6 points, the diagnostic sensitivity was 69.3%, and the specificity was 76.5%.The established model has good diagnostic value and provides the basis for preliminary screening for CHD in patients with DF.

A U-shaped association between serum uric acid with all-cause mortality in normal-weight population

BACKGROUND

It is uncertain how serum uric acid (SUA) associated with all-cause mortality among people with normal weight, hence was explored in this study.

METHODS

We enrolled participants from 1999 to 2006 National Health and Nutrition Examination Survey (NHANES) that had mortality status through 31 December 2015. We estimated adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for all-cause mortality using Cox proportional hazard models, and propensity score analyses were performed. We also performed restricted cubic splines to demonstrate the nonlinear relationship, and used subgroup analysis to examine the effect modification.

RESULTS

We enrolled 6169 participants (2905 men and 3264 women, mean age 42.3 ± 21.4 years) and 1060 (17.2%) cases of all-cause mortality occurred during the mean follow-up of 11.9 years. When using the lowest quartile of SUA as referent, the multivariable HRs for all-cause mortality increased in not parallel with the quartiles of SUA (HRs were 0.92 (95%CI: 0.68, 1.23), 1.10 (95%CI: 0.82, 1.47), and 1.08 (95%CI: 0.80, 1.45) from the second to the fourth quartiles, respectively. When treating SUA as continuous variable, the HRs for all-cause mortality were 1.07 (95%CI: 1.00, 1.15; P = 0.046), 1.03 (95%CI: 0.94, 1.12; P = 0.518) and 1.15 (95%CI: 1.01, 1.31; P = 0.032) in all population, male and female subjects, respectively. Elevated SUA was associated with all-cause mortality and the propensity scores analysis showed the similar results. Subgroup analysis showed SUA was an independent risk of all-cause mortality in female (HR1.17, 95%CI: 1.05, 1.31, P = 0.005), people aged <60 years (HR1.18, 95%CI: 1.03, 1.35, P = 0.018), non-diabetic population (HR1.10, 95%CI: 1.02, 1.18, P = 0.017) and people with eGFR<90 (HR1.10, 95%CI: 1.02, 1.19, P = 0.016). Smoothing spline plots suggested the optimal SUA for the lowest risk of all-cause mortality was approximately 4.7 mg/dl.

CONCLUSION

In normal-weight population, SUA was seemed to be a U-shaped relationship with all-cause mortality.

Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease

INTRODUCTION

This study aimed to study risk factors for coronary heart disease (CHD) in type 2 diabetes mellitus (T2DM) patients and establish a clinical prediction model.

RESEARCH DESIGN AND METHODS

A total of 3402 T2DM patients were diagnosed by clinical doctors and recorded in the electronic medical record system (EMRS) of six Community Health Center Hospitals from 2015 to 2017, including the communities of Huamu, Jinyang, Yinhang, Siping, Sanlin and Daqiao. From September 2018 to September 2019, 3361 patients (41 patients were missing) were investigated using a questionnaire, physical examination, and biochemical index test. After excluding the uncompleted data, 3214 participants were included in the study and randomly divided into a training set (n = 2252) and a validation set (n = 962) at a ratio of 3:1. Through lead absolute shrinkage and selection operator (LASSO) regression analysis and logistic regression analysis of the training set, risk factors were determined and included in a nomogram. The C-index, receiver operating characteristic (ROC) curve, calibration plot and decision curve analysis (DCA) were used to validate the distinction, calibration and clinical practicality of the model.

RESULTS

Age, T2DM duration, hypertension (HTN), hyperuricaemia (HUA), body mass index (BMI), glycosylated haemoglobin A1c (HbA1c), high-density lipoprotein (HDL-C) and low-density lipoprotein (LDL-C) were significant factors in this study. The C-index was 0.750 (0.724-0.776) based on the training set and 0.767 (0.726-0.808) based on the validation set. Through ROC analysis, the set area was 0.750 for the training set and 0.755 for the validation set. The calibration test indicated that the S:P of the prediction model was 0.982 in the training set and 0.499 in the validation set. The decision curve analysis showed that the threshold probability of the model was 16-69% in the training set and 16-73% in the validation set.

CONCLUSION

Based on community surveys and data analysis, a prediction model of CHD in T2DM patients was established.

Roles of hyperuricemia in metabolic syndrome and cardiac-kidney-vascular system diseases

Uric acid is the final product of purine metabolism. Hyperuricemia is defined as a condition where the level of uric acid exceeds the normal range. The most well-known disease induced by hyperuricemia is gout. However, many studies have reported that hyperuricemia also plays important roles in cardiac-kidney-vascular system diseases and metabolic syndrome. Although hyperuricemia has been known for a long time, its pathophysiology remains poorly understood. In this review, we highlight studies on advanced pathological mechanisms for injuries induced by hyperuricemia, summarize epidemiological studies on hyperuricemia and its associated diseases, and take a brief look at hyperuricemia prevention.

Hyperuricemia and smoking in young adults suspected of coronary artery disease ≤ 35 years of age: a hospital-based observational study

Background

Coronary artery disease (CAD) is showing an increasing trend in young adults. Cigarette smoking has been shown to be a major cause of premature CAD. Previous studies have also shown that hyperuricemia (HUA) is associated with CAD; however, the interaction effect between HUA and smoking on CAD is uncertain. Therefore, this study was designed to determine the relationship and interactive effects of HUA and smoking on the risk of CAD in young adults ≤ 35 years of age.

Methods

In this observational study we consecutively included adults (18–35 years of age) with suspected CAD who underwent coronary angiography for the first time in our institution from January 2005 to December 2015. Patients with stenosis affecting ≥50% of the luminal diameter and acute myocardial infarction were considered to have CAD. A serum uric acid (SUA) level ≥ 7.0 mg / dl (420 mmol / L) in males and ≥ 6.0 mg / dl (357 mmol / L) in females was defined as hyperuricemia. We tested for an interaction between HUA and cigarrete smoking on CAD. The relationship between HUA, cigarrete smoking, and CAD was assessed by multivariate logistic regression analysis.

Results

A total of 1113 participants were included in this study; 771 participants were confirmed to have CAD. HUA was present in 34.8% of the participants. HUA was significantly higher in the CAD group (odds ratio [OR], 1.34; 95% confidence interval [CI], 1.02–1.76; p = 0.035). More smokers were in the CAD group (OR, 1.59; 95% CI, 1.22–2.07; p = 0.001). Based on multivariate regression analysis and after adjustment for age, BMI, high LDL-C level, low HDL-C level, hypercholesterolemia, hypertriglyceridemia, metabolic syndrome, diabetes mellitus, and hypertension, HUA was shown to be strongly associated with the presence of CAD in non-smokers (OR, 1.84; 95% CI, 1.03–3.29; p = 0.039). We further demonstrated that the interaction between HUA and cigarrete smoking achieved statistical significance for the presence of CAD (p = 0.008).

Conclusions

In the current study, HUA was shown to be associated with the presence of CAD in non-smokers ≤ 35 years of age.

Electronic supplementary material

The online version of this article (10.1186/s12872-018-0910-5) contains supplementary material, which is available to authorized users.

Recent advances on uric acid transporters

Uric acid is the product of purine metabolism and its increased levels result in hyperuricemia. A number of epidemiological reports link hyperuricemia with multiple disorders, such as kidney diseases, cardiovascular diseases and diabetes. Recent studies also showed that expression and functional changes of urate transporters are associated with hyperuricemia. Uric acid transporters are divided into two categories: urate reabsorption transporters, including urate anion transporter 1 (URAT1), organic anion transporter 4 (OAT4) and glucose transporter 9 (GLUT9), and urate excretion transporetrs, including OAT1, OAT3, urate transporter (UAT), multidrug resistance protein 4 (MRP4/ABCC4), ABCG-2 and sodium-dependent phosphate transport protein. In the kidney, uric acid transporters decrease the reabsorption of urate and increase its secretion. These transporters’ dysfunction would lead to hyperuricemia. As the function of urate transporters is important to control the level of serum uric acid, studies on the functional role of uric acid transporter may provide a new strategy to treat hyperuricemia associated diseases, such as gout, chronic kidney disease, hyperlipidemia, hypertension, coronary heart disease, diabetes and other disorders. This review article summarizes the physiology of urate reabsorption and excretion transporters and highlights the recent advances on their roles in hyperuricemia and various diseases.