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Agreement between cardiovascular disease risk assessment tools: An application to the United Arab Emirates population


Autoři: Abderrahim Oulhaj aff001;  Sherif Bakir aff003;  Faisal Aziz aff004;  Abubaker Suliman aff001;  Wael Almahmeed aff006;  Harald Sourij aff002;  Abdulla Shehab aff007
Působiště autorů: Institute of Public Health, College of Medicine & Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates aff001;  Zayed Center for Health Sciences, United Arab Emirates University, United Arab Emirates aff002;  Cardiology Department, Sheikh Shakhbout Medical City, United Arab Emirates aff003;  Cardiovascular Diabetology Research Group, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria aff004;  Center for Biomarker Research in Medicine (CBmed), Graz, Austria aff005;  Heart and Vascular Institute, Cleveland Clinic, Abu Dhabi, United Arab Emirates aff006;  Department of Internal Medicine, College of Medicine & Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates aff007
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0228031

Souhrn

Introduction

Evidence regarding the performance of cardiovascular disease (CVD) risk assessment tools is limited in the United Arab Emirates (UAE). Therefore, we assessed the agreement between various externally validated CVD risk assessment tools in the UAE.

Methods

A secondary analysis of the Abu Dhabi Screening Program for Cardiovascular Risk Markers (AD-SALAMA) data, a large population-based cross-sectional survey conducted in Abu Dhabi, UAE during the period 2009 until 2015, was performed in July 2019. The analysis included 2,621 participants without type 2 Diabetes and without history of cardiovascular diseases. The CVD risk assessment tools included in the analysis were the World Health Organization for Middle East and North Africa Region (WHO-MENA), the systematic coronary risk evaluation for high risk countries (SCORE-H), the pooled cohort risk equations for white (PCRE-W) and African Americans (PCRE-AA), the national cholesterol education program Framingham risk score (FRAM-ATP), and the laboratory Framingham risk score (FRAM-LAB).

Results

The overall concordance coefficient was 0.50. The agreement between SCORE-H and PCRE-W, PCRE-AA, FRAM-LAB, FRAM-ATP and WHO-MENA, were 0.47, 0.39, 0.0.25, 0.42 and 0.18, respectively. PCRE-AA classified the highest proportion of participants into high-risk category of CVD (16.4%), followed by PCRE-W (13.6%), FRAM-LAB (6.9%), SCORE-H (4.5%), FRAM-ATP (2.7%), and WHO-MENA (0.4%).

Conclusions

We found a poor agreement between various externally validated CVD risk assessment tools when applied to a large data collected in the UAE. This poses a challenge to choose any of these tools for clinical decision-making regarding the primary prevention of CVD in the country.

Klíčová slova:

Africa – Cardiovascular diseases – Coronary heart disease – diabetes mellitus – Global health – Hypertension – Cholesterol – Medical risk factors


Zdroje

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