Prevalence and Management of Metabolic Syndrome in Adult Psychiatric Patients Receiving Second-Generation Antipsychotics at Sheikh Khalifa Medical City.

Introduction The establishment of second-generation antipsychotics in the early 1900s has shown greater benefits in many outcome domains. As atypical antipsychotics revealed an improvement in the shortcomings of first-generation antipsychotics, they also have significant limitations in terms of side effects. Background As a class, atypical antipsychotics have a more satisfactory profile in terms of extrapyramidal side effects but have other side effects, including metabolic syndrome. Moreover, a patient with severe mental illness has reduced life expectancy compared to the general population and increased dying risk by two to three folds due to the associated risk of metabolic syndrome. Metabolic syndrome induced by second-generation antipsychotics requires routine monitoring, suitable intervention, and management, including lifestyle modification, caregiver education, and the use of other medications like lipid-lowering agents, anti-diabetics, and adjunctive therapies. Method This is a retrospective observational study that involves a review of medical records of adult patients attending the psychiatry outpatient clinics in Shaikh Khalifa Medical City to whom oral second-generation atypical antipsychotics were prescribed between January 2016 and December 2017. All pediatric patients were excluded, as well as those who are on other agents known to induce metabolic syndrome, including first-generation antipsychotics, mood stabilizers, anxiolytics, and anti-depressants. Besides, a patient who already developed metabolic syndrome before starting atypical antipsychotics was excluded as well. IBM SPSS v. 25 (IBM Corp., Armonk, NY) and Jamovi 1.0.4.0 (The jamovi project (2021). [Computer Software]. Retrieved from https://www.jamovi.org) were used for statistical analysis. The Shapiro-Wilk was used to test for normality of data, One-way repeated measure analysis of variance (ANOVA) was used to determine whether there are any statistically significant differences between the means of BMI across the three pre-specified time points, Kendall's tau was used to test the correlation between categorical variables, and the paired t-test was used to determine whether there was a statistically significant mean difference between BMI at baseline and after one year, a p-value above 0.05 is considered non-significant. Result A total of 123 patients were included in this study out of 4123 patients. An olanzapine disintegrating tablet was the most used atypical antipsychotic among the study population, followed by risperidone and quetiapine, respectively. Furthermore, BMI was statistically significantly increased from baseline to six months (M = 2.37 kg/m