en Epidemiology Original Article <div style="text-align: justify;"><span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:">Background: </span></span></span></b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:">Cardiovascular disease (CVD) is one of the most prevalent diseases worldwide including in the Asian population. CVD risk assessment provides support for policymakers for prevention strategies. This research aimed to estimate the 10-year CVD risk and evaluate the agreement between three risk scores. </span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:">Materials and Methods:</span></span></span></b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:"> A descriptive study was conducted based on 9398 subjects aged 40&ndash;70 years from 10520 PERSIAN Guilan Cohort Study (PGCS) participants in Guilan, Iran. Baseline demographic data, comorbidities, and CVD variables were derived from cohort records. The 10-year CVD risk events for every individual were calculated using three risk score models including the American College of Cardiovascular / American Heart Association (ACC/AHA) tool, Framingham Risk Score (FRS), and World Health Organization (WHO) chart. The agreement between the CVD risk scores was evaluated using the kappa statistics. </span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:">Result:</span></span></span></b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:"> The proportion of high-risk people based on WHO, FRS, and ACC/AHA was 17.5%, 16.1%, and 5.4%, respectively. WHO risk score can find the highest frequency of females with high CVD risk scores. The best agreement was observed between FRS and ACC/AHA (&kappa;w=0.672, complete agreement=82.3%). Agreement between the WHO and ACC/AHA as well as WHO and FRS was reported as &kappa;w=0.351 and &kappa;w=0.357, respectively.</span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:">Conclusions:</span></span></span></b><span style="font-size:11.0pt"><span style="line-height:150%"><span arial="" style="font-family:"> WHO risk chart found the greatest number of people as the high-risk category. A substantial agreement was observed between FRS and ACC/AHA.</span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><span style="font-size:11.0pt"><span style="line-height:150%"></span></span></span></span></span></span><br> <br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><span style="font-size:11.0pt"><span style="line-height:150%"></span></span></span></span></span></span></div> Cardiovascular Diseases,Risk Assessment,Cohort Study,Framingham Heart Study, 78 85 http://johe.rums.ac.ir/browse.php?a_code=A-10-584-1&slc_lang=en&sid=1 Tolou Hasandokht tolou.hasandokht@gmail.com 22400319475328460010749 22400319475328460010749 No Associate Prof., in Preventive and Community Medicine, Cardiovascular Diseases Research Center, Dept. of Cardiology, Heshmat Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran. Guilan University of Medical Sciences Saman Maroufizadeh saman.maroufizadeh@yahoo.com 22400319475328460010750 22400319475328460010750 No Assistant Prof., in Biostatistics, Dept. of Biostatistics and Epidemiology, School of Health, Guilan University of Medical Sciences, Rasht, Iran. Guilan University of Medical Sciences Farahnaz Joukar farajov@gmail.com 22400319475328460010751 22400319475328460010751 No Associate Prof., in Epidemiology, Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. Guilan University of Medical Sciences Arsalan Salari a.salari55@gmail.com 22400319475328460010752 22400319475328460010752 No Cardiovascular Diseases Research Center, Department of Cardiology, Guilan University of Medical Sciences Fariborz Mansour-Ghanaei fmansourghanaei@gmail.com 22400319475328460010753 22400319475328460010753 Yes Professor of Medicine, Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. Guilan University of Medical Sciences