Abstract
BACKGROUND: Despite a total decrease in age-adjusted mortality rate (AAMR) for HIV across all demographic variables, a multitude of factors have accounted for this cumulative effect of reduction in AAMR, including HIV-related hospitalizations, as 59% of these deaths occur in a medical facility. This study’s main objective is to provide insights from the national in-patient database for the recent years regarding the trends of HIV-associated in-hospital mortality and their healthcare resource utilization. [Figure: see text] [Figure: see text] METHODS: The National Inpatient Sample (NIS) database was searched from 2016 to 2022 to identify patients with HIV (ICD-10 Codes: B20-B24). Hospital discharge weights for national representation were utilized. Baseline social and demographic characteristics along with hospital-level variables were analyzed subsequently using the odds ratio with multivariate regression analysis for mortality adjusted with age. Secondary outcomes included length of hospital stay and inflation-adjusted costs. For cost-based analysis, inflation adjustment was performed according to the inflation index for the Medical Care Consumer Price Index (CPI). [Figure: see text] [Figure: see text] RESULTS: A total of 289,095 HIV-related hospitalizations were included, which represents a weighted size of 1,445,475 hospital discharges. The mean age was 50.24 years, with 68.3% males and 51.85% African Americans. A total of 2.59% in-hospital deaths occurred; AAMR was 7029 per 100,000 hospitalizations in males, which was higher than females (5644 per 100,000). AAMR was found to be highest in the Hispanic population, at 8184 per 100,000. Males had a 3% annual percent change from 2016 to 2022, while trends show an increase in deaths in other races, like Asians/Pacific Islanders/Natives. Most deaths occurred in the West region (OR=1.43), non-metropolitan areas (OR=1.40), and medium-large bed-size hospitals (OR=1.28). CONCLUSION: HIV-related in-hospital mortality has posed a significant challenge across various demographic factors. Utilizing mortality data from large databases can serve as a valuable screening tool for targeted public health surveillance and allocation of resources to obtain further development of tailored health programs and interventions aimed particularly at allocation of resources in reducing the impact of HIV-related deaths. DISCLOSURES: All Authors: No reported disclosures