1393. Body Mass Index Change In People Living With HIV During The COVID-19 Pandemic In New York

Abstract

Abstract Background People living with HIV (PLHIV) suffer from adverse outcomes of metabolic syndrome. We hypothesized the COVID-19 pandemic, particularly with the stay-at-home status in 2020, resulted in physical inactivity and dietary changes leading to increases in weight and body mass index (BMI). Methods This retrospective observational chart review evaluated PLHIV at an infectious diseases clinic with a documented BMI from 2017 to 2020. Data on patients’ demographics, comorbidities, and antiretroviral therapy (ART) as of 2020 and the yearly values of BMI, A1c, and LDL from 2017 to 2020 were collected. Results Among 256 HIV-infected persons, mean age±SD was 48.5±13.1 (median=51; Q1-Q3: 39.5-57.5; range: 20-78) and 95 (37%) were female. Mean BMI were 28.19±6.32, 28.44±5.95, 28.57±5.91, and 29.00±6.09 for 2017, 2018, 2019, and 2020 respectively. Unadjusted and adjusted analysis showed a significant difference in BMI across time, where the mean BMI in 2020 was significantly higher than in 2017 (p< 0.0001), 2018 (p< 0.0001), and 2019 (p< 0.0001). Furthermore, for each consecutive year prior to 2019, there was no significant difference in mean BMI (2017 vs. 2018, p< 0.3464; 2018 vs. 2019, p< 0.4671; 2017 vs. 2019, p< 0.0861). There was a significant difference in A1c when adjusting for age, sex, race, and ART (Geometric Mean: 5.64, 5.68, 5.68, 5.78 for 2017 through 2020), with the visit year 2020 being significantly higher than 2017 (p< 0.003) and 2019 (p< 0.023) but not 2018 (p< 0.092). There were no significant differences in annual LDL using the same variables for adjustment. Body mass index (BMI) increased over time from 2017 to 2020 Mean BMI were 28.2±6.3, 28.4±5.9, 28.6±5.9, and 29.0±6.1 for 2017, 2018, 2019, and 2020 respectively. Pairwise comparison of BMI from 2017 to 2020 Unadjusted and adjusted analysis showed a significant difference in BMI across time, where the mean BMI in 2020 was significantly higher than in 2017 (p<0.0001), 2018 (p<0.0001), and 2019 (p<0.0001). Furthermore, for each consecutive year prior to 2019, there was no significant difference in mean BMI (2017 vs. 2018, p<0.3464; 2018 vs. 2019, p<0.4671; 2017 vs. 2019, p<0.0861). Conclusion Among PLHIV at our clinic, there was a substantial BMI increase in 2020, possibly due to the stay-at-home status in early 2020. A previous study utilized questionnaires to estimate the weight change in this patient population but this is the first report of documented BMI in the clinic setting. It is important to note that the magnitude of these differences was small and should be interpreted with caution. On the other hand, depending on a person’s initial height and weight, a one-unit change in BMI may translate to a substantial weight gain, which can be meaningful. Disclosures All Authors: No reported disclosures.