The association of inflammatory markers and periodontal indexes with the risk of coronary heart disease in Chinese patients with type 2 diabetes mellitus

The role of periodontitis in the development of atherosclerotic cardiovascular disease in participants with the components of metabolic syndrome: a systematic review and meta-analysis

OBJECTIVES

Prevention of atherosclerotic cardiovascular disease (ASCVD) is important in individuals with metabolic syndrome components (MetS), and periodontitis may play an important role in this process. This study aims to evaluate the association between periodontitis and ASCVD in participants with the components of MetS, including obesity, dysglycemia, hypertension, and dyslipidemia.

MATERIALS AND METHODS

This study conducted followed the MOOSE reporting guidelines and the PRISMA 2020 guidelines. EMBASE, MEDLINE, Web of Science, Cochrane Library, PubMed and OpenGrey were searched for observational studies about the linkage of periodontitis to ASCVD in people with MetS components up to April 9, 2023. Cohort, case-control and cross-sectional studies were included after study selection. Quality evaluation was carried out using the original and modified Newcastle-Ottawa Scale as appropriate. Random-effects model was employed for meta-analysis.

RESULTS

Nineteen studies were finally included in the quality analysis, and all of them were assessed as moderate to high quality. Meta-analyses among fifteen studies revealed that the participants with periodontitis were more likely to develop ASCVD in those who have dysglycemia (RR = 1.25, 95% CI = 1.13-1.37; p < 0.05), obesity (RR = 1.13, 95% CI = 1.02-1.24; p < 0.05), dyslipidemia (RR = 1.36, 95% CI = 1.13-1.65; p < 0.05), or hypertension (1.20, 95% CI = 1.05-1.36; p < 0.05).

CONCLUSIONS

Periodontitis promotes the development of ASCVD in participants with one MetS component (obesity, dysglycemia, hypertension or dyslipidemia).

CLINICAL RELEVANCE

In people with MetS components, periodontitis may contribute to the ASCVD incidence.

The effects of severe periodontitis on arterial stiffness using cardio-ankle vascular index in patients with type 2 diabetes

BACKGROUND AND OBJECTIVE

Arterial stiffness, which is a measure of the elasticity of the arteries, is also a risk factor for the development of cardiovascular diseases and its measurement is important for evaluating the atherosclerosis process. The purpose of this cross-sectional study to investigate whether severe periodontitis in short-term type 2 diabetes may be associated with increased cardio-ankle vascular index (CAVI) values specified for subclinical atherosclerosis risk.

METHODS

A total of 136 subjects, including 69 subjects with short-term type 2 diabetes (35 with severe periodontitis and 34 with periodontally healthy) and 67 systemically healthy subjects (32 with severe periodontitis and 35 with periodontally healthy) were enrolled to this study. Assessment of all participants included in this study in terms of arterial stiffness was determined by CAVI. Serum fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), triglyceride (TRG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol (TC) and C-reactive protein (CRP) levels were calculated using standard methods. Full mouth periodontal measurements were recorded. Multiple linear regression analysis was performed to evaluate the relationship between periodontal parameters and mean CAVI values of the groups.

RESULTS

Mean CAVI levels were significantly higher in diabetic and periodontitis group compared to the other study groups (p < .05). In diabetes and periodontitis group, CAVI was showed positive correlations with CRP (r = .337, p = .048) and HbA1c (r = .442, p = .008). Also, positive significant correlations were found with probing depth (PD) and clinical attachment level (CAL) in the periodontitis groups. Multiple regression analysis revealed that CAL independently predicted CAVI levels in periodontitis groups (β = .433, p = .019 in diabetes and periodontitis groups and β = .57, p = .001 in systemically healthy and periodontitis group respectively).

CONCLUSION

This is the first study investigating the association between severe periodontitis and CAVI in patients with short-term diabetes. Our findings suggest that severe periodontitis may be an intermediate factor in the pathway between type 2 diabetes and cardiovascular disease by increasing the arterial stiffness.

Visfatin is negatively associated with coronary artery lesions in subjects with impaired fasting glucose

It is not determined whether serum visfatin levels are related to the presence and severity of coronary artery disease (CAD) in non-diabetic subjects. In this study, a total of 65 consecutive non-diabetic participants who underwent coronary angiography were enrolled. Serum visfatin and fasting glucose, as well as the serum total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglyceride, were measured in all participants before the procedure. The extent of coronary artery lesions was determined by Gensini score. Serum visfatin levels were significantly lower in patients with CAD compared to participants with normal coronary arteries. Inversely, the circulating levels of fasting glucose were found to be elevated in patients with CAD compared with the control subjects. Multivariable logistic regression analysis demonstrated that visfatin and impaired fasting glucose (IFG) were independently associated with the presence of CAD in non-diabetics. No significant relationship was found between serum visfatin and fasting glucose levels in IFG subjects. However, there was a negative association between visfatin concentrations and Gensini score in participants with IFG. Both circulating visfatin concentrations and IFG are independently associated with CAD in non-diabetics. Serum visfatin levels are negatively related to the angiographic severity of CAD in subjects with IFG.

Mathematical Analysis of the Healthcare Treatment of 215 Patients with Coronary Heart Disease

The main risk factors for CHD and the comorbidity include hyperlipidemia (HL), hypertension, smoking, dietary factors, and genetic factors. In this work, 215 patients with coronary heart disease, including 128 males and 87 females, were analyzed for a better understanding of the related clinical pharmacology. Nonparametric test, analysis of variance, chi-square test, correlation analysis, and other methods were used to sort out the data. From the analysis, there are significant differences in age among different gender samples. The incidence of coronary heart disease in men is five years younger than that in women. The sample pairs from different regions showed differences in the presence of family history of diabetes, indicating that a series of patients in some regions concentrated on the disease status of family history of diabetes. Age has a significant positive effect on cardiac functional classification. The older you are, the larger the cardiac functional classification is and the worse the cardiac function is. Age was negatively correlated with VTE score, diastolic blood pressure, CAR, TG, neutrophil, and TC. The older you are, the lower these six values are. Samples of different types of CHD showed significant differences in the presence of comorbidity and family history of CHD. The most significant are unstable angina pectoris and ischemic cardiomyopathy. Samples of different CHD types showed significant effects on VTE score, creatine kinase, low-density lipoprotein cholesterol (LDL⁃C), and lactate dehydrogenase. The highest lactate dehydrogenase is ischemic cardiomyopathy. The highest LDL cholesterol is ST-segment elevation angina. The highest creatine kinase is ischemic cardiomyopathy. The VTE score was the highest for ischemic cardiomyopathy, followed by non-ST-segment elevation angina. Samples taken with or without lipid-lowering drugs showed significant differences in lactate dehydrogenase, creatinine, and TC. There was a significant positive correlation between VTE scores and lactate dehydrogenase, myoglobin, and creatine kinase. High VTE score indicates high lactate dehydrogenase, myoglobin, and creatine kinase. TC has a significant positive correlation with HDL⁃C and TG, respectively. Higher TC values indicate higher HDL⁃C and TG values.

The Neutrophil: Constant Defender and First Responder

The role of polymorphonuclear neutrophils (PMNs) in biology is often recognized during pathogenesis associated with PMN hyper- or hypo-functionality in various disease states. However, in the vast majority of cases, PMNs contribute to resilience and tissue homeostasis, with continuous PMN-mediated actions required for the maintenance of health, particularly in mucosal tissues. PMNs are extraordinarily well-adapted to respond to and diminish the damaging effects of a vast repertoire of infectious agents and injurious processes that are encountered throughout life. The commensal biofilm, a symbiotic polymicrobial ecosystem that lines the mucosal surfaces, is the first line of defense against pathogenic strains that might otherwise dominate, and is therefore of critical importance for health. PMNs regularly interact with the commensal flora at the mucosal tissues in health and limit their growth without developing an overt inflammatory reaction to them. These PMNs exhibit what is called a para-inflammatory phenotype, and have reduced inflammatory output. When biofilm growth and makeup are disrupted (i.e., dysbiosis), clinical symptoms associated with acute and chronic inflammatory responses to these changes may include pain, erythema and swelling. However, in most cases, these responses indicate that the immune system is functioning properly to re-establish homeostasis and protect the status quo. Defects in this healthy everyday function occur as a result of PMN subversion by pathological microbial strains, genetic defects or crosstalk with other chronic inflammatory conditions, including cancer and rheumatic disease, and this can provide some avenues for therapeutic targeting of PMN function. In other cases, targeting PMN functions could worsen the disease state. Certain PMN-mediated responses to pathogens, for example Neutrophil Extracellular Traps (NETs), might lead to undesirable symptoms such as pain or swelling and tissue damage/fibrosis. Despite collateral damage, these PMN responses limit pathogen dissemination and more severe damage that would otherwise occur. New data suggests the existence of unique PMN subsets, commonly associated with functional diversification in response to particular inflammatory challenges. PMN-directed therapeutic approaches depend on a greater understanding of this diversity. Here we outline the current understanding of PMNs in health and disease, with an emphasis on the positive manifestations of tissue and organ-protective PMN-mediated inflammation.

Prediction models for the risk of cardiovascular diseases in Chinese patients with type 2 diabetes mellitus: a systematic review

OBJECTIVES

Diabetes mellitus (DM) is a serious public health issue worldwide, and DM patients have higher risk of cardiovascular diseases (CVDs), which is the leading cause of DM-related deaths. China has the largest DM population, yet a robust model to predict CVDs in Chinese DM patients is still lacking. This systematic review is carried out to summarize existing models and identify potentially important predictors for CVDs in Chinese DM patients.

STUDY DESIGN

Systematic review.

METHODS

Medline and Embase were searched for data from April 1st, 2011 to May 31st, 2018. A study was eligible if it developed CVD (defined as total CVD or any major cardiovascular component) risk prediction models or explored potential predictors of CVD specifically for Chinese people with type 2 DM. Standardized forms were utilized to extract information, appraise applicability, risk of bias, and availabilities.

RESULTS

Five models and 29 studies focusing on potential predictors were identified. Models for a primary care setting, or to predict total CVD, are rare. A number of common predictors (e.g. age, sex, diabetes duration, smoking status, glycated hemoglobin (HbA1c), blood pressure, lipid profile, and treatment modalities) were observed in existing models, in which urine albumin:creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR) are highly recommended for the Chinese population. Variability of blood pressure (BP) and HbA1c should be included in prediction model development as novel factors. Meanwhile, interactions between age, sex, and risk factors should also be considered.

CONCLUSIONS

A 10-year prediction model for CVD risk in Chinese type 2 DM patients is lacking and urgently needed. There is insufficient evidence to support the inclusion of other novel predictors in CVDs risk prediction functions for routine clinical use.

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.

Expression and influence of pentraxin-3, HbAlc and ApoA1/ApoB in serum of patients with acute myocardial infarction combined with diabetes mellitus type 2

The present study investigated the clinical significance of changes in levels of hypersensitive plasma pentraxin-3 (PTX3), hemoglobin A1c (HbAlc) and apolipoprotein A-I (ApoA1)/apolipoprotein B (ApoB) on patients with acute myocardial infarction (AMI) and diabetes mellitus type 2 (T2DM). After admission, 100 patients diagnosed with AMI combined with T2DM were selected as Group A. According to the level of fasting blood glucose (FBG), they were then subdivided into Group A1 (n=44) with FBG ≥13.0 mmol/l and Group A2 (n=56) with FBG <13.0 mmol/l. A total of 100 hospitalized patients with AMI in People's Hospital of Dongying (Dongying, China) were collected as Group B, and 100 healthy people receiving physical examination in the Physical Examination Center of People's Hospital of Dongying were selected as Group C. Serum PTX3, HbAlc and ApoA1/ApoB of all the study participants were tested, and diseased coronary artery vessels were divided into single-, double- and triple-vessel lesions according to their numbers. Logistic regression analysis was performed for the number of diseased coronary artery vessels and each index. The level of PTX3 in Group A1 was higher than that in Group A2; the level of ApoA1/ApoB in the former was lower than that in the latter (P<0.05); and the level of HbAlc in the former was significantly higher than that in the latter (P<0.01); the levels of PTX3 and HbA1c in Group A2 were higher than those in Group B, while the level of ApoA1/ApoB in the former was lower than that in the latter (P<0.05). Logistic regression analysis showed that the number of diseased coronary artery vessels was positively correlated with PTX3 and HbA1c, but negatively correlated with ApoA1/ApoB. PTX3, HbAlc and ApoA1/apoB have a certain clinical significance in assessing the severity of AMI combined with T2DM.

Increased Peripheral Blood Visfatin Concentrations May Be a Risk Marker of Coronary Artery Disease: A Meta-Analysis of Observational Studies

A comprehensive quantitative evaluation of the relationship between peripheral blood visfatin concentrations and coronary artery disease (CAD) is lacking. This study is the first attempt to quantify this relationship via a meta-analysis of published observational studies in terms of weighted mean difference (WMD). Literature retrieval, article selection, and data extraction were conducted. Heterogeneity was inspected using both subgroup and meta-regression analyses. In total, 15 articles involving 1053 CAD cases and 714 controls were included. Overall, peripheral blood visfatin concentrations were significantly higher in CAD cases than in controls (WMD: 4.72 ng/mL; 95% confidence interval [CI]: 2.97-6.47; P < .001), with significant heterogeneity and publication bias. Six studies were theoretically missing based on filled funnel plot, and considering the impact of these missing studies still detected a significant overall mean difference in visfatin (WMD: 2.82 ng/mL; 95% CI: 2.22-3.58; P < .001; number of studies: 21). Subgroup and meta-regression analyses indicated age, body mass index, race, diabetes, systolic blood pressure, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol were identified as possible causes of heterogeneity. In conclusion, our findings suggest that increased peripheral blood visfatin concentrations may be a risk marker of CAD.