J Hallajzadeh1, M Khoramdad2, N Izadi3, N Karamzad4, A Almasi-Hashiani5, E Ayubi6, M Qorbani7, R Pakzad8, M J M Sullman9, S Safiri1,10. 1. Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, 440826 Maragheh University of Medical Sciences , Maragheh, Iran. 2. Department of Epidemiology and Biostatistics, Faculty of Health, 48464 Kermanshah University of Medical Sciences , Kermanshah, Iran. 3. Department of Epidemiology, School of Public Health, 48486 Shahid Beheshti University of Medical Sciences , Tehran, Iran. 4. Nutrition Research Center, Department of Biochemistry and Diet Therapy, School of Nutrition and Food Sciences, 48432 Tabriz University of Medical Sciences , Tabriz, Iran. 5. Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, 48499 Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. 6. Department of Community Medicine, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran. 7. Non-Communicable Diseases Research Center, 391934 Alborz University of Medical Sciences , Karaj, Iran. 8. Department of Epidemiology, Faculty of Health, 48443 Ilam University of Medical Sciences , Ilam, Iran. 9. Department of Psychology, Middle East Technical University, Northern Cyprus Campus, Güzelyurt/Morphou, Northern Cyprus. 10. Department of Epidemiology and Biostatistics, School of Public Health, 48439 Tehran University of Medical Sciences , Tehran, Iran.
Abstract
OBJECTIVES: Based upon inflammatory-related factors in chronic systemic lupus erythematosus (SLE), as well as the long-term prescription of corticosteroids, metabolic syndrome (MetS) prevalence is expected to be higher in SLE patients than among those without SLE. The aim of this study was to systematically analyze: (1) the worldwide prevalence of MetS in patients with SLE using different criteria, (2) the risk of MetS in patients with SLE compared with those without SLE, and (3) the risk of MetS component in patients with SLE compared with healthy controls. METHODS: We searched international databases, such as: Web of Science, Medline, PubMed, Scopus, Embase, CABI, CINAHL, DOAJ and Google Scholar. The articles which reported the prevalence of MetS in SLE patients, between 2006 and 2017, were included in the study if they had a: clear study design, study time and location, sound sampling approach and appropriate statistical analyses. Studies without sufficient data to determine the prevalence of MetS were excluded. Also, studies in patients suffering from other clinical diseases were not included. RESULTS: The meta-analyses of the prevalence (40 studies (n = 6085)) and risk (20 studies (n = 2348)) of MetS in SLE patients were conducted separately. The pooled prevalence of MetS among SLE patients was found to be 26% (95% confidence interval (CI): 22-30%), but varied from 18% (95% CI: 11-25%) to 34% (95% CI: 25-42%), depending upon the diagnostic criteria used. The overall pooled odds ratio (OR) of MetS in SLE patients, compared with healthy controls, was (OR = 2.50; 95% CI: 1.86-3.35), but this ranged from (OR = 1.23; 95% CI: 0.61-2.49) to (OR = 10.71; 95% CI: 1.33-86.48), depending upon the criteria used. Also, the risk of high fasting blood sugar (FBS; OR = 1.59; 95% CI: 1.05-2.40), low high-density lipoprotein cholesterol (HDL-C; OR = 1.43; 95% CI: 1.02-2.01), high blood pressure (BP; OR = 2.76; 95% CI: 2.19-3.47), high triglycerides (TG; OR = 2.85; 95% CI: 2.05-3.95) and high waist circumference (WC; OR = 1.37; 95% CI: 0.97-1.94) were all found to be higher in SLE patients compared with healthy controls. CONCLUSIONS: The risk of MetS was significantly higher in SLE patients, compared with healthy controls, even after adjusting for publication bias. Among MetS components, high TG and high BP were most strongly associated with SLE. Considering that high TG and high BP are preventable, there is an international need to implement effective interventions to reduce MetS components in SLE patients in order to prevent serious outcomes such as cardiovascular diseases and mortality.
OBJECTIVES: Based upon inflammatory-related factors in chronic systemic lupus erythematosus (SLE), as well as the long-term prescription of corticosteroids, metabolic syndrome (MetS) prevalence is expected to be higher in SLEpatients than among those without SLE. The aim of this study was to systematically analyze: (1) the worldwide prevalence of MetS in patients with SLE using different criteria, (2) the risk of MetS in patients with SLE compared with those without SLE, and (3) the risk of MetS component in patients with SLE compared with healthy controls. METHODS: We searched international databases, such as: Web of Science, Medline, PubMed, Scopus, Embase, CABI, CINAHL, DOAJ and Google Scholar. The articles which reported the prevalence of MetS in SLEpatients, between 2006 and 2017, were included in the study if they had a: clear study design, study time and location, sound sampling approach and appropriate statistical analyses. Studies without sufficient data to determine the prevalence of MetS were excluded. Also, studies in patients suffering from other clinical diseases were not included. RESULTS: The meta-analyses of the prevalence (40 studies (n = 6085)) and risk (20 studies (n = 2348)) of MetS in SLEpatients were conducted separately. The pooled prevalence of MetS among SLEpatients was found to be 26% (95% confidence interval (CI): 22-30%), but varied from 18% (95% CI: 11-25%) to 34% (95% CI: 25-42%), depending upon the diagnostic criteria used. The overall pooled odds ratio (OR) of MetS in SLEpatients, compared with healthy controls, was (OR = 2.50; 95% CI: 1.86-3.35), but this ranged from (OR = 1.23; 95% CI: 0.61-2.49) to (OR = 10.71; 95% CI: 1.33-86.48), depending upon the criteria used. Also, the risk of high fasting blood sugar (FBS; OR = 1.59; 95% CI: 1.05-2.40), low high-density lipoprotein cholesterol (HDL-C; OR = 1.43; 95% CI: 1.02-2.01), high blood pressure (BP; OR = 2.76; 95% CI: 2.19-3.47), high triglycerides (TG; OR = 2.85; 95% CI: 2.05-3.95) and high waist circumference (WC; OR = 1.37; 95% CI: 0.97-1.94) were all found to be higher in SLEpatients compared with healthy controls. CONCLUSIONS: The risk of MetS was significantly higher in SLEpatients, compared with healthy controls, even after adjusting for publication bias. Among MetS components, high TG and high BP were most strongly associated with SLE. Considering that high TG and high BP are preventable, there is an international need to implement effective interventions to reduce MetS components in SLEpatients in order to prevent serious outcomes such as cardiovascular diseases and mortality.