Positive family history for coronary heart disease and ‘midband lipoproteins’ are potential risk factors of carotid atherosclerosis in familial hypercholesterolemia

The health industry collects huge amounts of health data which, unfortunately, are not mined to discover hidden information. However, there is a lack of effective analytical tools to discover hidden relationships and trends in data. Information technologies can provide alternative approaches to the diagnosis of the heart attach disease. In this study, a proficient methodology for the extraction of significant patterns from the Coronary Heart Disease warehouses for heart attack prediction, which unfortunately continues to be a leading cause of mortality in the whole world, has been presented. For this purpose, we propose to develop an innovative fuzzy classification solution approach based on dynamic reduced sets of potential risk factors using the promising Rough Set theory which is a new mathematical approach to data analysis based on classification of objects. Therefore, we propose to validate the classification using Multi-classifier decision tree to identify the risky heart disease cases. This work is based on a dataset collected from several clinical institutions based on the medical profile of patient. Moreover, the experts' knowledge in this field has been taken into consideration in order to define the disease, its risk factors, to follow up the issue results, and to establish significant knowledge relationships between medical factors related to Coronary Heart Disease. To identify cases of heart attack, experiments of several classification techniques have been performed leading to rank the suitable techniques. The reduction of potential risk factors contributes to enumerate dynamically one or more optimal subsets of the potential risk factors of high interest which implicitly leads to reduce the complexity of the classification problems while maintaining the prediction classification quality. The performance of the proposed model is analyzed and evaluated based on set of benchmark techniques applied in this classification problem.

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Graves-Basedow disease and potential risk factors

Vojnosanitetski pregled ◽

10.2298/vsp0808633z ◽

2008 ◽

Vol 65 (8) ◽

pp. 633-638

Author(s):

Dusica Zivanovic ◽

Sandra Sipetic ◽

Marina Stamenkovic-Radak ◽

Jelena Milasin

Keyword(s):

Risk Factors ◽

Family History ◽

Potential Risk ◽

Medical Center ◽

Positive Family History ◽

Control Group ◽

Case Group ◽

Genetic Syndrome ◽

Potential Risk Factors ◽

History Of

Background/Aim. Graves-Basedow disease is a common multifactorial genetic syndrome, which is determined by several genes and environmental factors. The aim of the present study was to investigate the presence of risk factors for developing Graves-Basedow disease between the groups of individuals with and without Graves-Basedow disease, and to compare the presence of risk factors between the affected individuals with or without positive family history for Graves- Basedow disease. Methods. This cross-sectional study was conducted in Cuprija (central Serbia) during a period from December 2001 to April 2002. The case group comprised 132 individuals diagnosed with Graves-Basedow disease. The control group comprised 130 subjects without any of endocrine diseases. All participants were interviewed at the Medical Center Cuprija using structural questionnaire. Data were collected on basic demographic characteristics, exposure to various chemical and physical agents, stress, smoking and family history of Graves-Basedow disease. In statistical analysis chi-square test was used. Results. The individuals with Graves-Basedow disease were statistically significantly older (above 50) (p = 0.020), exposed to stress (p = 0.024) and to physical agents (p = 0.031), and had significantly (p = 0.000) more relatives with Graves-Basedow disease than those without the disease. Among the affected individuals with positive family history of Graves-Basedow disease the number of women was significantly higher (p = 0.000), than the affected individuals without positive family history of Graves- Basedow disease. Conclusion. In our study, as in many other, gender, age, positive family history of Graves-Basedow disease and exposure to physical agents were identified as potential risk factors for the increased incidence of Graves- Basedow disease. Different risk factors are probably responsible for developing Graves-Basedow disease among the affected individuals with or without positive family history of Graves-Basedow disease. .

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Heart Disease Diagnosis Using Fuzzy Supervised Learning Based on Dynamic Reduced Features

Coronary and Cardiothoracic Critical Care ◽

10.4018/978-1-5225-8185-7.ch006 ◽

2019 ◽

pp. 102-127

Author(s):

Walid Moudani ◽

Mohamad Hussein ◽

Mariam abdelRazzak ◽

Félix Mora-Camino

Keyword(s):

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Potential Risk ◽

Heart Attack ◽

Information Technologies ◽

Solution Approach ◽

Potential Risk Factors ◽

Significant Patterns ◽

Heart Disease Diagnosis

The health industry collects huge amounts of health data which, unfortunately, are not mined to discover hidden information. However, there is a lack of effective analytical tools to discover hidden relationships and trends in data. Information technologies can provide alternative approaches to the diagnosis of the heart attach disease. In this study, a proficient methodology for the extraction of significant patterns from the Coronary Heart Disease warehouses for heart attack prediction, which unfortunately continues to be a leading cause of mortality in the whole world, has been presented. For this purpose, we propose to develop an innovative fuzzy classification solution approach based on dynamic reduced sets of potential risk factors using the promising Rough Set theory which is a new mathematical approach to data analysis based on classification of objects. Therefore, we propose to validate the classification using Multi-classifier decision tree to identify the risky heart disease cases. This work is based on a dataset collected from several clinical institutions based on the medical profile of patient. Moreover, the experts' knowledge in this field has been taken into consideration in order to define the disease, its risk factors, to follow up the issue results, and to establish significant knowledge relationships between medical factors related to Coronary Heart Disease. To identify cases of heart attack, experiments of several classification techniques have been performed leading to rank the suitable techniques. The reduction of potential risk factors contributes to enumerate dynamically one or more optimal subsets of the potential risk factors of high interest which implicitly leads to reduce the complexity of the classification problems while maintaining the prediction classification quality. The performance of the proposed model is analyzed and evaluated based on set of benchmark techniques applied in this classification problem.

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Mortality and associated risk factors in diabetics

Acta Endocrinologica ◽

10.1530/acta.0.110s021 ◽

1985 ◽

Vol 110 (4_Suppl) ◽

pp. S21-S26 ◽

Cited By ~ 33

Author(s):

R. J. Jarrett ◽

M. J. Shipley

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Coronary Heart Disease ◽

Heart Disease ◽

Mortality Risk ◽

Mortality Rates ◽

Potential Risk Factors ◽

Diabetic Population ◽

Associated Risk Factors ◽

The Relationship

Summary. In 168 male diabetics aged 40-64 years participating in the Whitehall Study, ten-year age adjusted mortality rates were significantly higher than in non-diabetics for all causes, coronary heart disease, all cardiovascular disease and, in addition, causes other than cardiovascular. Mortality rates were not significantly related to known duration of the diabetes. The predictive effects of several major mortality risk factors were similar in diabetics and non-diabetics. Excess mortality rates in the diabetics could not be attributed to differences in levels of blood pressure or any other of the major risk factors measured. Key words: diabetics; mortality rates; risk factors; coronary heart disease. There are many studies documenting higher mortality rates - particularly from cardiovascular disease -in diabetics compared with age and sex matched diabetics from the same population (see Jarrett et al. (1982) for review). However, there is sparse information relating potential risk factors to subsequent mortality within a diabetic population, information which might help to explain the increased mortality risk and also suggest preventive therapeutic approaches. In the Whitehall Study, a number of established diabetics participated in the screening programme and data on mortality rates up to ten years after screening are available. We present here a comparison of diabetics and non-diabetics in terms of relative mortality rates and the influence of conventional risk factors as well as an analysis of the relationship between duration of diabetes and mortality risk.

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Faktor Risiko Terjadinya Penyakit Jantung Koroner pada Pasien di Unit Rawat Jalan Rumah Sakit Panti Rapih Yogyakarta

I Care Jurnal Keperawatan STIKes Panti Rapih ◽

10.46668/jurkes.v1i1.34 ◽

2020 ◽

Vol 1 (1) ◽

pp. 21-30

Author(s):

Deviana Widayanti ◽

Chatarina Setya Widyastuti

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Family History ◽

Disease Risk ◽

Sampling Technique ◽

Excess Body Weight ◽

History Of ◽

Lack Of Exercise

Background: Coronary Heart Disease (CHD) Is a condition when the arteries that supply blood to the heart wall experience hardening and narrowing. It is estimated that 30% of coronary heart disease causes death worldwide. Objective: This study aims to determine the risk factors for CHD in Panti Rapih Hospital. Methods: This descriptive study aims to determine the risk factors for CHD in outpatients at Panti Rapih Hospital. The population is patients who have been diagnosed with coronary heart disease and the sample was taken by 50 respondents with non-random accidental sampling technique. This research take the data use questionnaire and make univariat analysis. Results: Risk factors for CHD are a number of factors that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight42% and lack of exercise 38%. Conclusion: Risk factors for CHD that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight 42% and lack of exercise 38%. Keywords: coronary heart disease, risk factors

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Adolescent-Onset Hidradenitis Suppurativa: Prevalence, Risk Factors and Disease Features

Dermatology ◽

10.1159/000493465 ◽

2018 ◽

Vol 235 (1) ◽

pp. 45-50 ◽

Cited By ~ 3

Author(s):

Alejandro Molina-Leyva ◽

Carlos Cuenca-Barrales

Keyword(s):

Risk Factors ◽

Family History ◽

Hidradenitis Suppurativa ◽

Disease Duration ◽

Positive Family History ◽

Cross Sectional Study ◽

Cross Sectional ◽

Female Sex ◽

Potential Risk Factors ◽

Sex Positive

Background/Aims: Hidradenitis suppurativa (HS) is a chronic inflammatory and destructive skin disorder. Early diagnosis and treatment are critical to stop its progression. Data concerning adolescent-onset HS are scarce. The aims of this study are to describe the prevalence of adolescent-onset HS and to explore potential risk factors and the disease features of these patients. Patients and Methods: A cross-sectional study including 134 patients was performed. Results: Adolescent-onset HS occurred in 51.5% (69/134) of patients. Adolescent-onset HS was associated with female sex, positive family history, presence of pilonidal sinus, acne conglobata, longer disease duration and a worse perception of disease severity. Conclusion: Adolescent-onset HS might be more frequent than previously reported. Female sex, positive family history and the presence of elements of the follicular occlusion tetrad identify individuals with a higher risk of early onset. These patients experience a longer disease duration and perceive their disease as severer.

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Risk Factors of Coronary Heart Disease among Civil Employees of a Tertiary Level Hospital

Anwer Khan Modern Medical College Journal ◽

10.3329/akmmcj.v11i1.45663 ◽

2020 ◽

Vol 11 (1) ◽

pp. 22-28

Author(s):

Md Saydur Rahman ◽

Nurun Nahar

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Coronary Heart Disease ◽

Heart Disease ◽

Heart Diseases ◽

Positive Family History ◽

Risk Behaviour ◽

Educational Status ◽

Normal Weight ◽

Cross Sectional

Background: Cardiovascular risk factors are the most inimical and deleterious elements to develop coronary heart disease (CHD). To identify the factors contributing to develop CHD is therefore of paramount importance. It needs endless attention to address the riddle. This effort is to candle the light on sociodemographic & other factors of CHD. Methods & Materials: This cross-sectional study was conducted in CMH Dhaka from September to December 2011 on 287 respondents. Data were collected by interview using semi-structured questionnaire. Data were checked, edited, coded, categorized, cleaned and analyzed using (SPSS version 20). Results: The study disclosed that respondent's mean age was 39.40+9.42 years, 67.2% were male and 32.8% were female. It was founded that 34.14% were smoker. The prevalence rate of HTN and DM were 14.3% and 4.5% respectably. The mean BMI was 24.55 with 58.5% had normal weight and 41.5% were overweight, 18.8% had positive family history of suffering from CHD. among the respondents 88.5% has got at least one risk factor, 60% has got 5-10 risk factors, 13.6% got 6-10 risk factors, 14.3% got>10 risk factors. Age was significantly associated with smoking (p<.049), educational status (p<.001) and blood pressure (p<.001). Physical exercise was associated with BMI (p<.001) and blood pressure (p<.001). Risk factors had highly significant association with age (p<.001). Conclusion: All these findings suggest that a substantial evidence of risk factors of coronary heart diseases were prevailing among the study population. Proper care through positive motivation, avoidance of risk behaviour, intervention of clinical conditions can resist risk factors of coronary heart disease thus coronary heart disease can be prevented. Anwer Khan Modern Medical College Journal Vol. 11, No. 1: Jan 2020, P 22-28

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