Diana Malaeb1,2, Souheil Hallit3,4,5, Nada Dia1, Sarah Cherri1, Imad Maatouk1, George Nawas6, Pascale Salameh4,7,8, Hassan Hosseini9,10. 1. School of pharmacy, Lebanese International University, Beirut, Lebanon. 2. Life Sciences and Health Department, Paris-Est University, Paris, France. 3. Faculty of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon. 4. Institut National de Santé Publique, Epidémiologie Clinique et Toxicologie - Liban (INSPECT-LB), Beirut, Lebanon. 5. Research Department, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon. 6. College of Pharmacy, Xavier University of Louisiana, Louisiana, USA. 7. Faculty of Pharmacy, Lebanese University, Hadat, Lebanon. 8. University of Nicosia Medical School, Nicosia, Cyprus. 9. Henri Mondor Hospital, Paris, France. 10. Life Sciences and Health Department, Paris-Est Créteil University, Paris, France.
Abstract
Background: Non-communicable diseases, the major cause of death and disability, are susceptible to modifiable and non-modifiable risk factors. Atrial fibrillation (AF) increases the risk of stroke by 4 to 5 times and can lead to cardiovascular mortality. This study was conducted to assess the effects of different sociodemographic and socioeconomic factors on stroke development in patients with AF. Methods: A cross-sectional study was conducted between January and June 2018 on patients recruited from Lebanese community pharmacies. The CHA 2DS 2-VASc scoring system is utilized as a stroke risk stratification tool in AF patients. Participants with a previous physician diagnosis of AF, documented on medical records, were included in this study. Data was collected through a survey that was distributed to all eligible patients. Results: A total of 524 patients were enrolled in the study with a mean age (± SD) of 58.75 ± 13.59 years with hypertension (78.4%) being the most predominant disease. The results showed that obesity (Beta=0.61, p-value =0.011), retirement and unemployment compared to employment (Beta=1.44 and 1.44, p-value=0.001 respectively), divorced/widow compared to married (Beta=1.38, p-value =0.001) were significantly associated with higher CHA 2DS 2-VASc scores whereas high versus low socio-economic status (Beta=-1.03, p=0.009) and high school education versus primary education level (Beta=-0.49, p-value=0.025) were significantly associated with lower CHA 2DS 2-VASc scores. Conclusions: The study highlights that the CHA 2DS 2-VASc score is affected by the presence of various sociodemographic and socioeconomic characteristics in patients with AF. Thus, screening for those factors may predict the progression of cardiovascular disease and may provide an optimal intervention. Copyright:
Background: Non-communicable diseases, the major cause of death and disability, are susceptible to modifiable and non-modifiable risk factors. Atrial fibrillation (AF) increases the risk of stroke by 4 to 5 times and can lead to cardiovascular mortality. This study was conducted to assess the effects of different sociodemographic and socioeconomic factors on stroke development in patients with AF. Methods: A cross-sectional study was conducted between January and June 2018 on patients recruited from Lebanese community pharmacies. The CHA 2DS 2-VASc scoring system is utilized as a stroke risk stratification tool in AF patients. Participants with a previous physician diagnosis of AF, documented on medical records, were included in this study. Data was collected through a survey that was distributed to all eligible patients. Results: A total of 524 patients were enrolled in the study with a mean age (± SD) of 58.75 ± 13.59 years with hypertension (78.4%) being the most predominant disease. The results showed that obesity (Beta=0.61, p-value =0.011), retirement and unemployment compared to employment (Beta=1.44 and 1.44, p-value=0.001 respectively), divorced/widow compared to married (Beta=1.38, p-value =0.001) were significantly associated with higher CHA 2DS 2-VASc scores whereas high versus low socio-economic status (Beta=-1.03, p=0.009) and high school education versus primary education level (Beta=-0.49, p-value=0.025) were significantly associated with lower CHA 2DS 2-VASc scores. Conclusions: The study highlights that the CHA 2DS 2-VASc score is affected by the presence of various sociodemographic and socioeconomic characteristics in patients with AF. Thus, screening for those factors may predict the progression of cardiovascular disease and may provide an optimal intervention. Copyright:
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