scholarly journals AK098656: a new biomarker of coronary stenosis severity in hypertensive and coronary heart disease patients

2022 ◽  
Vol 14 (1) ◽  
Author(s):  
Xin Wang ◽  
Ya-li Wu ◽  
Yuan-yuan Zhang ◽  
Jing Ke ◽  
Zong-wei Wang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Roc Curve ◽  
Coronary Stenosis ◽  
Area Under The Curve ◽  
Discrimination Ability ◽  
Chd Risk ◽  
Significant Difference ◽  
Stenosis Severity ◽  
Novel Target

Abstract Background AK098656 may be an adverse factor for coronary heart disease (CHD), especially in patients with hypertension. This study aimed to analyze the effect of AK098656 on CHD and CHD with various complications. Methods A total of 117 CHD patients and 27 healthy control subjects were enrolled in the study. Plasma AK098656 expression was determined using the quantitative real-time polymerase chain reaction. Student’s t-test was used to compare AK098656 expression levels in different groups. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to quantify the discrimination ability between CHD patients and health controls and between CHD and CHD + complications patients. The relationship between AK098656 and coronary stenosis was analyzed using Spearman’s correlation. Results AK098656 expression was remarkably higher in CHD patients than in healthy controls (P = 0.03). The ROC curve revealed an effective predictive AK098656 expression value for CHD risk, with an AUC of 0.656 (95% CI 0.501–0.809). Moreover, AK098656 expression was increased in CHD + complications patients compared to CHD patients alone (P = 0.005), especially in patients with hypertension (CHD + hHTN, P = 0.030). The ROC curve revealed a predictive AK098656 prognostic value for discriminating between CHD and CHD + hHTN patients, with an AUC of 0.666 (95% CI 0.528–0.805). There was no significant difference in AK098656 expression in CHD patients with diabetes mellitus compared to CHD patients alone. In addition, AK098656 expression in CHD patients was positively correlated with stenosis severity (R = 0.261, P = 0.006). Conclusion AK098656 expression was significantly increased in patients with CHD, especially those with hypertension, and its expression level was positively correlated with the degree of coronary stenosis. This implied that AK098656 may be a risk factor for CHD and can potentially be applied in clinical diagnosis or provide a novel target for treatment.

scholarly journals AK098656 – A New Biomarker of Coronary Stenosis Severity in Hypertensive and Coronary Heart Disease Patients

2021 ◽  
Author(s):  
Xin Wang ◽  
Ya-li Wu ◽  
Yuan-yuan Zhang ◽  
Jing Ke ◽  
Bao-yu Zhang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Roc Curve ◽  
Coronary Stenosis ◽  
Area Under The Curve ◽  
Discrimination Ability ◽  
Chd Risk ◽  
Significant Difference ◽  
Stenosis Severity ◽  
Novel Target

Abstract Background: AK098656 may be an adverse factor for coronary heart disease (CHD), especially in patients with hypertension. This study aimed to analyze the effect of AK098656 on CHD and CHD with various complications.Methods: A total of 117 CHD patients and 27 healthy control subjects were enrolled in the study. Plasma AK098656 expression was determined using the quantitative real-time polymerase chain reaction. Student’s t-test was used to compare AK098656 expression levels in different groups. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to quantify the discrimination ability between CHD patients and health controls and between CHD and CHD+complications patients. The relationship between AK098656 and coronary stenosis was analyzed using Spearman’s correlation.Results: AK098656 expression was remarkably higher in CHD patients than in healthy controls (P=0.03). The ROC curve revealed an effective predictive AK098656 expression value for CHD risk, with an AUC of 0.656 (95% CI: 0.501–0.809). Moreover, AK098656 expression was increased in CHD+complications patients compared to CHD patients alone (P=0.005), especially in patients with hypertension (CHD+hHTN, P=0.030). The ROC curve revealed a predictive AK098656 prognostic value for discriminating between CHD and CHD+hHTN patients, with an AUC of 0.666 (95% CI: 0.528–0.805). There was no significant difference in AK098656 expression in CHD patients with diabetes mellitus compared to CHD patients alone. In addition, AK098656 expression in CHD patients was positively correlated with stenosis severity (R=0.261, P=0.006).Conclusion: AK098656 expression was significantly increased in patients with CHD, especially those with hypertension, and its expression level was positively correlated with the degree of coronary stenosis. This implied that AK098656 may be a risk factor for CHD and can potentially be applied in clinical diagnosis or provide a novel target for treatment.

scholarly journals Effect of AK098656 on association of hypertension with coronary stenosis severity in coronary heart disease patients

2020 ◽  
Author(s):  
Xin Wang ◽  
Ya-li Wu ◽  
Yuan-yuan Zhang ◽  
Jing Ke ◽  
Bao-yu Zhang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Roc Curve ◽  
Coronary Stenosis ◽  
Area Under The Curve ◽  
Discrimination Ability ◽  
Chd Risk ◽  
Significant Difference ◽  
Stenosis Severity ◽  
Novel Target

Abstract Background: AK098656 may be an adverse factor for coronary heart disease (CHD), especially in patients with hypertension. This study aimed to analyze the effect of AK098656 on CHD and CHD with various complications.Methods: A total of 117 CHD patients and 27 healthy control subjects were enrolled in the study. Plasma AK098656 expression was determined using the quantitative real-time polymerase chain reaction. Student’s t-test was used to compare AK098656 expression levels in different groups. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to quantify the discrimination ability between CHD patients and health controls and between CHD and CHD+complications patients. The relationship between AK098656 and coronary stenosis was analyzed using Spearman’s correlation.Results: AK098656 expression was remarkably higher in CHD patients than in healthy controls (P=0.03). The ROC curve revealed an effective predictive AK098656 expression value for CHD risk, with an AUC of 0.656 (95% CI: 0.501–0.809). Moreover, AK098656 expression was increased in CHD+complications patients compared to CHD patients alone (P=0.005), especially in patients with hypertension (CHD+HHTN, P=0.030). The ROC curve revealed a predictive AK098656 prognostic value for discriminating between CHD and CHD+HHTN patients, with an AUC of 0.666 (95% CI: 0.528–0.805). There was no significant difference in AK098656 expression in CHD patients with diabetes mellitus compared to CHD patients alone. In addition, AK098656 expression in CHD patients was positively correlated with stenosis severity (R=0.261, P=0.006).Conclusion: AK098656 expression was significantly increased in patients with CHD, especially those with hypertension, and its expression level was positively correlated with the degree of coronary stenosis. This implied that AK098656 may be a risk factor for CHD and can potentially be applied in clinical diagnosis or provide a novel target for treatment.

The Framingham Risk Function Underestimated Absolute Coronary Heart Disease Risk in Czech Men

2007 ◽  
Vol 46 (01) ◽  
pp. 43-49 ◽  
Author(s):  
J. Zvárová ◽  
J. Reissigová
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Czech Republic ◽  
Disease Risk ◽  
Risk Function ◽  
The Czech Republic ◽  
Discrimination Ability ◽  
Framingham Risk ◽  
Chd Risk ◽  
Estimated Risk

Summary Objectives: The aim was to validate the Framingham coronary heart disease (CHD) risk function with the formula by Wilson et al. (1998) in Czech men. Methods: The validation was performed within the 20-year primary prevention study of atherosclerotic risk factors (STULONG) including 1417 middle-aged men from the Czech Republic (Prague). A total of 646 men examined in 1979-1988, and followed-up for ten years, were included into the validation study. The calibration and discrimination ability of the Framingham risk function in the Czech population were explored. Results: The estimated 10-year risk of CHD by the Framingham risk function was 12.8% in 646 men, significantly higher than the observed risk (16.4 %), p = 0.013. The trend in the 10-year incidence of CHD was significantly increasing with quintiles of the estimated risk, p < 0.001. After the recalibration of the Framingham risk function, there was an insignificant difference between the estimated (18.2%) and observed (16.4%) risks of CHD, p = 0.320. The Framingham risk function classified men into those with and without CHD in the 10-year period with accuracy over 60%. Conclusions: Unlike some validation studies from Western Europe, the Framingham risk function significantly underestimated the 10-year CHD risk in the Czech Republic. In agreement with these studies, the incidence of CHD was significantly increasing across quintiles of the estimated risk.

scholarly journals Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Jae Kwon Kim ◽  
Sanggil Kang
Keyword(s):  
Neural Network ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Correlation Analysis ◽  
Risk Prediction ◽  
Roc Curve ◽  
Chd Risk ◽  
Proposed Model ◽  
Feature Correlation ◽  
Clinical Experiments

Background. Of the machine learning techniques used in predicting coronary heart disease (CHD), neural network (NN) is popularly used to improve performance accuracy. Objective. Even though NN-based systems provide meaningful results based on clinical experiments, medical experts are not satisfied with their predictive performances because NN is trained in a “black-box” style. Method. We sought to devise an NN-based prediction of CHD risk using feature correlation analysis (NN-FCA) using two stages. First, the feature selection stage, which makes features acceding to the importance in predicting CHD risk, is ranked, and second, the feature correlation analysis stage, during which one learns about the existence of correlations between feature relations and the data of each NN predictor output, is determined. Result. Of the 4146 individuals in the Korean dataset evaluated, 3031 had low CHD risk and 1115 had CHD high risk. The area under the receiver operating characteristic (ROC) curve of the proposed model (0.749 ± 0.010) was larger than the Framingham risk score (FRS) (0.393 ± 0.010). Conclusions. The proposed NN-FCA, which utilizes feature correlation analysis, was found to be better than FRS in terms of CHD risk prediction. Furthermore, the proposed model resulted in a larger ROC curve and more accurate predictions of CHD risk in the Korean population than the FRS.

scholarly journals Multimodal Diagnostics of Microrheologic Alterations in Blood of Coronary Heart Disease and Diabetic Patients

Diagnostics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 76
Author(s):  
Anastasia Maslianitsyna ◽  
Petr Ermolinskiy ◽  
Andrei Lugovtsov ◽  
Alexandra Pigurenko ◽  
Maria Sasonko ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Red Blood Cells ◽  
Blood Cells ◽  
Optical Methods ◽  
Diabetic Patients ◽  
Aggregation Index ◽  
Significant Difference

Coronary heart disease (CHD) has serious implications for human health and needs to be diagnosed as early as possible. In this article in vivo and in vitro optical methods are used to study blood properties related to the aggregation of red blood cells in patients with CHD and comorbidities such as type 2 diabetes mellitus (T2DM). The results show not only a significant difference of the aggregation in patients compared to healthy people, but also a correspondence between in vivo and in vitro parameters. Red blood cells aggregate in CHD patients faster and more numerously; in particular the aggregation index increases by 20 ± 7%. The presence of T2DM also significantly elevates aggregation in CHD patients. This work demonstrates multimodal diagnostics and monitoring of patients with socially significant pathologies.

scholarly journals Risk of coronary heart disease among cancer survivors with different prediagnosis body mass index

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ahryoung Ko ◽  
Kyuwoong Kim ◽  
Joung Sik Son ◽  
Yu Jin Cho ◽  
Sang Min Park ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cancer Survivors ◽  
Body Mass ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Cancer Site ◽  
Chd Risk

AbstractAssociation between body mass index (BMI) and coronary heart disease (CHD) in cancer survivors is not clearly established. This study analyzed the prediagnosis BMI-CHD association by examining 13,500 cancer survivors identified from the National Health Insurance Service-Health Screening Cohort from January 1, 2004 to December 31, 2009 including the patients who were free of cardiovascular disease at enrollment. The Cox proportional hazards model (adjusted for socioeconomic, health behavior, health status, and medical characteristics) was used for calculating hazard ratios (HR) and 95% confidence intervals (95% CI) for CHD in each prediagnosis BMI category among cancer survivors. Compared to cancer survivors with a prediagnosis BMI between 18.5 and 22.9 kg/m2, those with a prediagnosis BMI of 23.0–24.9 kg/m2 and ≥ 25.0 kg/m2 had significantly higher CHD risk (HR = 1.51; 95% CI: 1.13–2.01 and HR = 1.38; 95% CI: 1.04–1.84, respectively). Cancer survivors with a low prediagnosis BMI (< 18.5 kg/m2) also had significantly higher CHD risk (HR = 1.97; 95% CI: 1.20–3.24) compared to those with a BMI of 18.5–22.9 kg/m2. Similar associations were found after stratifying analyses based on first cancer site and sociodemographic and medical characteristic subgroups. Our study suggests that prediagnosis underweight among patients with cancer is a predictor of CHD risk.

scholarly journals Saturated Fat Consumption and Risk of Coronary Heart Disease and Ischemic Stroke: A Science Update

2017 ◽  
Vol 70 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Joyce A. Nettleton ◽  
Ingeborg A. Brouwer ◽  
Johanna M. Geleijnse ◽  
Gerard Hornstra
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Ischemic Stroke ◽  
Saturated Fat ◽  
The Body ◽  
Epidemiological Methods ◽  
Risk Markers ◽  
Fat Consumption ◽  
Chd Risk ◽  
Important Health

At a workshop to update the science linking saturated fatty acid (SAFA) consumption with the risk of coronary heart disease (CHD) and ischemic stroke, invited participants presented data on the consumption and bioavailability of SAFA and their functions in the body and food technology. Epidemiological methods and outcomes were related to the association between SAFA consumption and disease events and mortality. Participants reviewed the effects of SAFA on CHD, causal risk factors, and surrogate risk markers. Higher intakes of SAFA were not associated with higher risks of CHD or stroke apparently, but studies did not take macronutrient replacement into account. Replacing SAFA by cis-polyunsaturated fatty acids was associated with significant CHD risk reduction, which was confirmed by randomized controlled trials. SAFA reduction had little direct effect on stroke risk. Cohort studies suggest that the food matrix and source of SAFA have important health effects.

scholarly journals The Impact of Risk Factors for Coronary Heart Disease on Related Disability in Older Irish Adults

2017 ◽  
Vol 31 (1) ◽  
pp. 165-184 ◽  
Author(s):  
Sharon M. Cruise ◽  
John Hughes ◽  
Kathleen Bennett ◽  
Anne Kouvonen ◽  
Frank Kee
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Northern Ireland ◽  
Physical Inactivity ◽  
Relative Risks ◽  
Chd Risk ◽  
Health And Social Care ◽  
Chd Risk Factors ◽  
The Impact

Objective: The aim of this study is to examine the prevalence of coronary heart disease (CHD)–related disability (hereafter also “disability”) and the impact of CHD risk factors on disability in older adults in the Republic of Ireland (ROI) and Northern Ireland (NI). Method: Population attributable fractions were calculated using risk factor relative risks and disability prevalence derived from The Irish Longitudinal Study on Ageing and the Northern Ireland Health Survey. Results: Disability was significantly lower in ROI (4.1% vs. 8.8%). Smoking and diabetes prevalence rates, and the fraction of disability that could be attributed to smoking (ROI: 6.6%; NI: 6.1%), obesity (ROI: 13.8%; NI: 11.3%), and diabetes (ROI: 6.2%; NI: 7.2%), were comparable in both countries. Physical inactivity (31.3% vs. 54.8%) and depression (10.2% vs. 17.6%) were lower in ROI. Disability attributable to depression (ROI: 16.3%; NI: 25.2%) and physical inactivity (ROI: 27.5%; NI: 39.9%) was lower in ROI. Discussion: Country-specific similarities and differences in the prevalence of disability and associated risk factors will inform public health and social care policy in both countries.

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