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Prevalence of Traditional Risk Factors in First-Degree Relatives of Patients With Established Cardiovascular Disease

Introduction: World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts are useful for predicting 10-year combined myocardial infarction and stroke risk (fatal and non-fatal). Hence the current study was conducted to assess the 10-year risk of cardiovascular...

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Detalles Bibliográficos
Autores principales: Prajapati, Poojan J, Bhavsar, Vatsa, Bhatt, Dakshey, Konat, Ashwati, Shah, Saujas, Zapadia, Vatsal, Nanavati, Dhruvam, Shroff, Shailee, Vora, Neel, Sharma, Kamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267422/
https://www.ncbi.nlm.nih.gov/pubmed/37323318
http://dx.doi.org/10.7759/cureus.39061
Descripción
Sumario:Introduction: World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts are useful for predicting 10-year combined myocardial infarction and stroke risk (fatal and non-fatal). Hence the current study was conducted to assess the 10-year risk of cardiovascular disease among adults in Ahmedabad, India. Aims: The primary aim of the study was to assess the cardiovascular risk among first-degree relatives of patients attending the outpatient clinic. Also, to create awareness regarding assessment of cardiovascular risk among the studied group. Methods and materials: A cross-sectional study was carried out among 372 first-degree relatives of patients at an out-patient cardiology clinic present in Vadaj, Ahmedabad. The WHO/ISH risk prediction chart for South-East Asia Region D (SEAR D) was used for calculating the 10-year cardiovascular risk. Results: A maximum (80.10%) of the study participants were in the low-risk (<10%) category followed by 8.33% for moderate-risk (10-20%), 7.25% for moderately high-risk (20-30%), 2.42% for high-risk (30-40%) and 1.88% for very high-risk (>40%). Conclusion: WHO/ISH risk prediction charts provide a quick and effective way to assess and categorize the population in a low-resource setting which in turn helps in delivering focused intervention to the high-risk groups.