Determinan Penyakit Stroke

Penyakit stroke merupakan penyebab kematian dan kecacatan kronik yang paling tinggi pada kelompok umur diatas usia 45 tahun terbanyak di Indonesia. Tujuan penelitian ini untuk mengidentifikasi determinan utama yang berhubungan dengan penyakit stroke pada masyarakat di kelurahan Kebon Kalapa Bogor. Analisis lanjut terhadap 1.912 responden subset baseline data penelitian “Studi Kohort Faktor Risiko Penyakit Tidak Menular” Data dikumpulkan dengan metode wawancara pada penduduk tetap di kelurahan Kebon Kalapa, Kecamatan Bogor Tengah, Bogor tahun 2012. Diagnosis stroke berdasarkan anamnesis dan pemeriksaan dokter spesialis syaraf. Variabel independen meliputi karakteristik sosiodemografi, status kesehatan dan perilaku berisiko. Data dianalisis dengan uji regresi logistik ganda. Penyakit stroke ditemukan pada 49 (2,6%) orang. Determinan utama stroke meliputi hipertensi (OR = 4,20; IK 95% = 2,20 – 8,03), penyakit jantung koroner (OR = 2,74; IK 95% = 1,51 – 4,99), diabetes melitus (OR = 2,89; IK 95% = 1,47 – 5,64), dan status ekonomi miskin (OR = 1,83 ; IK 95% = 1,03 – 3,33). Pencegahan penyakit stroke dilakukan dengan peningkatan edukasi (kampanye/penyuluhan) melalui pengendalian faktor risiko utama yaitu hipertensi dan pencegahan terjadinya penyakit degeneratif lain yaitu penyakit jantung koroner dan diabetes melitus.Stroke disease is the leading cause of death and chronic disabi lity in most over the age of 45 years in Indonesia. The aim of study was to identify the major determinants of stroke disease in Kebon Kalapa community in Bogor. A deep analyze was conducted in 1.912 respondents based on the subset of baseline data “Risk Factors Cohort Study of Non Communicable Diseases.” Data was collected by interviews on Kebon Kalapa community, Bogor in 2012. Stroke diagnosis was determined by anamnesis and neu-rological examination with specialist. Independent variables were sociodemographic characteristics, health status and risk behavior. Data analysis was performed by multiple logistic regression test. This study revealed that stroke disease was found in 49 people (2.6%). The main determinant of stroke included hypertension (OR = 4.20; 95% CI = 2.20 – 8.03), coronary heart disease (OR = 2.74; 95% CI = 1.51 – 4.99), diabetes mellitus (OR = 2.89; 95% CI = 1.47 – 5.64), and low economic status (OR = 1.83; 95% CI = 1.03 – 3.33). Prevention of stroke should be done by increasing education (campaign) through the control of major risk factors of hypertension and prevention of other degenerative diseases are coronary heart disease and diabetes mellitus.

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ANALISIS FAKTOR RISIKO MODIFIKASI PENYAKIT JANTUNG KORONER DI RSU HAJI SURABAYA TAHUN 2019

Media Gizi Kesmas ◽

10.20473/mgk.v10i1.2021.47-55 ◽

2021 ◽

Vol 10 (1) ◽

pp. 47

Author(s):

Citra Rachmawati ◽

Santi Martini ◽

Kurnia Dwi Artanti

Keyword(s):

Physical Activity ◽

Diabetes Mellitus ◽

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Smoking Behavior ◽

World Health ◽

P Value ◽

Health Organization ◽

Diabetes Melitus

ABSTRAKLatar Belakang: Pola penyakit saat ini mengalami transisi epidemiologi, salah satunya dibuktikan oleh perkembangan dari penyakit tidak menular yaitu penyakit jantung. Penyakit jantung khususnya jantung koroner ini termasuk penyakit yang menduduki tingkat nomor satu di dunia.. Diperkirakan angka kematian akibat penyakit Jantung Koroner akan mengalami peningkatan hingga 23,3 juta pada tahun 2030 (World Health Organization 2013). Penelitian ini membahas mengenai faktor risiko PJK yaitu hipertensi, diabetes melitus, aktivitas fisik, dan perilaku merokok.Tujuan: Penelitian ini bertujuan untuk menganalisis faktor risiko hipertensi, diabetes melitus, aktivitas fisik, dan perilaku merokok pada pasien penyakit jantung koroner di Rsu Haji Surabaya tahun 2019.Metode: Penelitian ini merupakan penelitian observasional dan bersifat analitik. Desain penelitian yang digunakan adalah case control.Hasil: Penelitian ini menunjukkan bahwa variabel hipertensi memiliki hubungan (p-value = 0,0 ; p<0,05) terhadap penyakit jantung koroner, variabel diabetes melitus memiliki hubungan (p-value= 0,00 ; p<0,05) terhadap penyakit jantung koroner dan variabel aktifitas fisik memiliki hubungan yang signifikan (p-value = 0,017; OR = 0,184; 95%CI =0,039-0,861) dengan kejadian penyakit jantung koroner. Sedangkan hasil yang tidak beruhubungan yaitu pada variabel perilaku merokok (p-value = 0,250; OR = 1,463; 95%CI=0,764-2,802) terhadap penyakit jantung koroner. Kesimpulan: Berdasarkan hasil dan pembahasan dapat disimpulkan bahwa hipertensi, diabetes melitus, dan aktifitas fisik memiliki hubungan dan termasuk faktor risiko kejadian penyakit jantung koroner. Sedangkan perilaku merokok tidak menunjukkan adanya hubungan yang signifikan dengan kejadian penyakit jantung koroner. Kata kunci: Penyakit jantung, jantung koroner dan faktor risiko ABSTRACTBackground: The pattern of disease is currently undergoing an epidemiological transition, one of which is evidenced by the development of non-communicable diseases, namely heart disease. Heart disease, especially coronary heart disease, is a disease that ranks number one in the world. It is estimated that the death rate due to coronary heart disease will increase to 23.3 million in 2030 (World Health Organization 2013). This study discusses the risk factors for CHD, namely hypertension, diabetes mellitus, physical activity, and smoking behavior. Purpose: The purpose of this study was to analyze the risk factors for hypertension, diabetes mellitus, physical activity, and smoking behavior in coronary heart disease patients at Rsu Haji Surabaya in 2019. Methods: This study was an observational and analytical study. The research design used was case-control. Results: The results of this study indicate that the hypertension variable has a relationship (p-value = 0.00; p <0.05) on coronary heart disease, the diabetes mellitus variable has a relationship (p-value = 0.00; p <0.05) on coronary heart disease and the activity variable physical had a significant relationship (p-value = 0.017; OR = 0.184; 95% CI=0.039-0.861) with the incidence of coronary heart disease. While the results that were not related were the smoking behavior variable (p-value = 0.250; OR = 1.463; 95% CI=0.764-2.802) on coronary heart disease.Conclusion: Based on the results and discussion, it can be concluded that hypertension, diabetes mellitus, and physical activity have a relationship and include risk factors for coronary heart disease. Meanwhile, smoking behavior does not show a significant relationship with the incidence of coronary heart disease. Keywords: Cardiovascular diseas, coronary heart and risk factors.

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Lack of association between peroxisome proliferator-activated receptor-gamma-2 gene variants and the occurrence of coronary heart disease in patients with diabetes mellitus

Acta Endocrinologica ◽

10.1530/eje.0.1460545 ◽

2002 ◽

pp. 545-551 ◽

Cited By ~ 23

Author(s):

M Bluher ◽

T Klemm ◽

T Gerike ◽

H Krankenberg ◽

G Schuler ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Multiple Logistic Regression Analysis ◽

Peroxisome Proliferator ◽

Haemoglobin A1c ◽

Peroxisome Proliferator Activated Receptor ◽

Patients With Diabetes ◽

Reduced Risk

OBJECTIVE: Recent evidence indicates that peroxisome proliferator-activated receptor-gamma (PPARgamma) is expressed at high levels in foam cells of atherosclerotic lesions, that PPARgamma agonists may directly modulate vessel wall function and that mutations in the PPARgamma-2 gene are associated with a reduced risk of coronary artery disease. METHODS: We investigated whether known variants in the PPARgamma-2 gene are associated with the occurrence of coronary heart disease (CHD) in 365 patients with type 2 diabetes, prospectively characterised for the presence or absence of CHD. The Pro115Gln, Pro12Ala, Pro467Leu, Val290Met mutations and two polymorphisms C478T and C161T of the PPARgamma-2 gene were examined using PCR, denaturing gradient gel electrophoresis and direct sequencing. RESULTS: The distribution of the Pro12Ala, Ala12Ala, C161T and T161T variants was not significantly different between patients with and without CHD, independent of the gender. The Pro12Ala (P=0.011) and the Ala12Ala (P=0.006) variant were associated with a higher body mass index (BMI) compared with the Pro12Pro genotype. A multiple logistic regression analysis introducing the typical risk factors for CHD (age, sex, hypertension, smoking, BMI >26 kg/m2, elevated low density lipoprotein cholesterol and haemoglobin A1c >7%) identified age >60, male gender, hypertension and a higher BMI, but not the PPARgamma-2 variants, as significant risk factors for CHD in our study groups. CONCLUSION: The PPARgamma-2 genotype was not associated with an increased or reduced risk of the occurrence of CHD and can therefore not be regarded as an independent risk factor for CHD in patients with diabetes mellitus.

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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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Analisis Survival Penyakit Jantung Koroner Berulang

Jurnal Biometrika dan Kependudukan ◽

10.20473/jbk.v6i1.2017.43-51 ◽

2018 ◽

Vol 6 (1) ◽

pp. 43

Author(s):

Fidya Panorama Damayanti ◽

Arief Wibowo

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Survival Data ◽

Recurrent Event ◽

Observational Research ◽

Research Approach ◽

Hypertension Status ◽

Cox Regression Analysis

Survival analysis is one of data analysis the result showing certain times had happened. Cox regression analysis is one of the most powerful and commonly used for analyzing survival data since the result of this method showing nearly similar result to parametric model. This study aim is to determine case of recurrent Coronary Heart Disease risk factors, and to know how many survival in day of recurrent Coronary Heart Disease based on the risk factors at RS Islam Surabaya in 2015 – 2016. Measurement in research subjects was conducted in the medical record. This research using observational research approach. Subjects were 63 Coronary Heart Disease inpatients in RS Islam Surabaya. Measurement was conducted to obtain information of examined variables. Independent variables were data sensor status, survival time (measured in day), sex, age, hypertension, hyperlipidemia, and diabetes mellitus. This analysis showing the occurrence time average of recurrent CHDs in Coronary Heart Disease patients in general is 614 days. Rate of reccurence had similar risks for all age groups, gender, hypertension, hyperlipidemia, and diabetes mellitus. CHD patients with hypertension status have risk of 9.291 times greater than no hypertension status. This research can be used by RS Islam Surabaya to gave Communication, Information, and Education to the patient and their relatives especially for patient with hypertension status to have continuous check-up in order not to get another recurrent event of CHD in the near future.

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Atrial fibrillation risk factors in patients with ischemic stroke

Archives of Medical Science ◽

10.5114/aoms.2019.84212 ◽

2021 ◽

Vol 17 (1) ◽

pp. 19-24

Author(s):

Paweł Wańkowicz ◽

Przemysław Nowacki ◽

Monika Gołąb-Janowska

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Atrial Fibrillation ◽

Coronary Heart Disease ◽

Heart Disease ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Nonvalvular Atrial Fibrillation ◽

Multivariable Logistic Regression Model ◽

Lipid Metabolism Disorders

IntroductionAtrial fibrillation (AF) is the most common heart arrhythmia. The condition is known to increase the risk of ischemic stroke (IS). Classical risk factors for the development of AF include advanced age, hypertension, diabetes mellitus, coronary heart disease and lipid metabolism disorders. Importantly, these are also recognized risk factors for ischemic stroke. Therefore, the purpose of this study was to investigate AF risk factors in patients with IS.Material and methodsThis is single-centre retrospective study which included 696 patients with acute ischemic stroke and nonvalvular atrial fibrillation and 1678 patients with acute ischemic stroke without atrial fibrillation.ResultsIn this study we found – based on a univariable and multivariable logistic regression model – that compared to the patients with IS without AF, the group of patients which suffered from IS with nonvalvular atrial fibrillation (NVAF) had a higher proportion of patients who smoked cigarettes (OR = 15.742, p < 0.01; OR = 41.1, p < 0.01), had hypertension (OR = 5.161, p < 0.01; OR = 5.666, p < 0.01), history of previous stroke (OR = 3.951, p < 0.01; OR = 4.792, p < 0.01), dyslipidemia (OR = 2.312, p < 0.01; OR = 1.592, p < 0.01), coronary heart disease (OR = 2.306, p < 0.01; OR = 1.988, p < 0.01), a greater proportion of female patients (OR = 1.717, p < 0.01; OR = 2.095, p < 0.01), higher incidence of diabetes mellitus (OR = 1.341, p < 0.01; OR = 1.261, p = 0.106) and more patients in old age (OR = 1.084, p < 0.01; OR = 1.101, p < 0.01).ConclusionsOur study demonstrates a need for thorough and systematic monitoring of post-ischemic stroke patients in whom AF has not been detected and who display other important risk factors. Regardless of the stroke, these factors may be responsible for development of AF.

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