Glycated hemoglobin predicts coronary artery disease in non-diabetic adults

Ewid, Mohammed; Sherif, Hossam; Billah, Syed Muhammad Baqui; Saquib, Nazmus; AlEnazy, Wael; Ragab, Omer; Enabi, Saed; Rajab, Tawfik Mamoun; Awad, Zaki M.; Abazid, Rami M.

doi:10.1186/s12872-019-01302-5

Cited by 17 publications

(14 citation statements)

References 29 publications

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“…These direct effects of hyperglycemia contribute likely to the microvascular and macrovascular disease (Saha, Kuila, & Sharma, 2022). Our report corroborates with the previous literature supporting relation between fasting sugar level and HbA1c with CAD cases (Ewid et al, 2019;Nielson, Lange, & Hadjokas, 2006;Park et al, 2013;Saha et al, 2022). Fasting sugar level and HbA1c was also found to be significantly associated to CAD subgroups when compared amongst themselves and reflects their superior potential to behave as a disease indicator (Table 3).…”

Section: Resultssupporting

confidence: 91%

Evaluation of the circulatory levels of resistin in coronary artery disease with associated co-morbidities

Kamble

Pandhare

Vidhate

et al. 2022

ijhs

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Inflammation is known to be the root cause of the development of coronary artery disease (CAD). Subclinical inflammation is one of the key players in pathophysiology of CAD. An inflammatory response leads to the secretion of various adipokines and cytokines. There are various pro-inflammatory markers which could be used to determine the onset of disease, and one such marker is resistin adipokine. The present study evaluates and compares the circulatory concentration of resistin in CAD patients and controls for the determination of its association with CAD. In this study, 58 CAD patients were enrolled and were further subdivided into four groups as per the associated co-morbidities. Various anthropometric and biochemical parameters were assessed. The circulatory levels of resistin were found to be significantly elevated in CAD patients and their subgroups as compared to controls. We conclude that elevated resistin levels in CAD patients suggest a key role of resistin in the development of CAD. The present study also observed that co-morbidities like type 2 diabetes can act as one of the major factors for the elevated concentration of resistin in the circulation of CAD patients with diabetes.

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Section: Resultssupporting

confidence: 91%

Evaluation of the circulatory levels of resistin in coronary artery disease with associated co-morbidities

Kamble

Pandhare

Vidhate

et al. 2022

ijhs

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“…HbA1C is 5.3 minimum range in the study group with a maximum of 14.60 (levels of 6.5% of the higher mean of diabetes. Glycated haemoglobin is the predictor of CHD ( Ewid et al, 2019 ), the association of HbA1C with CHD ( Zhao et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population

Babiker

Eltayeb

Sayed-Ahmed

et al. 2021

Saudi Journal of Biological Sciences

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Analysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using a logit model. Attempts made to reduce risk factors, increase public or professional awareness. Logit model used to evaluate the probability of a person develop CHD, considering any factors such as age, gender, high low-density lipoprotein (LDL) cholesterol, low high-density lipoprotein (HDL) cholesterol, high blood pressure, family history of CHD younger than 45, diabetes, smoking, being post-menopausal for women and being older than 45 for men. Logit concept of brief statistics described with slight modification to estimate the parameters testing for the significance of the coefficients, confidence interval fits the simple, multiple logit models. Besides, interpretation of the fitted logit regression model introduced. Variables showing best results within the scientific context, good explanation data assessed to fit an estimated logit model containing chosen variables, this present experiment used the statistical inference procedure; chi-square distribution, likelihood ratio, Score, or Wald test and goodness-of-fit. Health promotion started with increased public or professional awareness improved for early detection of CHD, to reduce the risk of mortality, aimed to be Saudi vision by 2030.

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“…Sample size was calculated using G*Power version 3.1.9.4, to detect an effect size f = 0.36 with a degree of freedom df = 2, representing 0.2 differential in HbA1c between the three equally sized periodontitis groups (5.5%, 5.7% and 5.9%), by assuming an overall mean (SD) HbA1c = 5.7% (0.45) in a group of 38 among non-diabetic Saudi individuals. 20 The statistical power was set to 0.9 and type 1 error to 0.05, the total sample size was N = 102, i.e. 34 participants in each periodontitis group.…”

Section: Sample Size Calculationmentioning

confidence: 99%

The Relationship Between Glycated Hemoglobin Level and The Stage of Periodontitis in Individuals Without Diabetes

Banjar

Alyafi

Alghamdi

et al. 2022

Preprint

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Background: Glycemic control appeared to have a significant impact on the relationship between periodontitis and diabetes. Since the classification of periodontitis was updated, the current study aims to investigate the association between the stage of periodontitis and HbA1c level in patients considered to be normoglycemic Methods:135 patients with no history of diabetes were included in the study. All patients received full mouth periodontal exam. Periodontal diagnosis was determined according to the 2017 World Workshop on the classification of periodontal disease. The glycemic state of patients was assessed using a chair-side HbA1c analyzer. Results:90 patients in the study were diagnosed with periodontitis. Higher average HbA1c were associated with the different stages of periodontitis (p <0.01). Most of the non-periodontitis patients were in the non-diabetes group (67%), while most of the periodontitis patients were in the undiagnosed pre-diabetes group (47% of the stages I and II group, and 44% of the stages III and IV group (p <0.001). Conclusion: Periodontitis patients are more likely to have undiagnosed dysglycemia. The elevation in HbA1c level was more evident in patients with stage III and Iv periodontitis. The result of this study suggests that patients with advanced periodontitis might be targeted for diabetes screening.

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Glycated hemoglobin predicts coronary artery disease in non-diabetic adults

Cited by 17 publications

References 29 publications

Evaluation of the circulatory levels of resistin in coronary artery disease with associated co-morbidities

Evaluation of the circulatory levels of resistin in coronary artery disease with associated co-morbidities

Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population

The Relationship Between Glycated Hemoglobin Level and The Stage of Periodontitis in Individuals Without Diabetes

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