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Background Critical illness is a frequent cause of mortality in resource-limited settings. Improved triage on admission could improve mortality, but existing tools depend on variables that often are not available. We prospectively evaluated the universal vital assessment (UVA) score to predict mortality among patients admitted to a district hospital in rural, highly HIV-prevalent South Africa. Figure 1. Receiver operator characteristic (ROC) curves for the UVA and qSOFA scoring tools. Methods In February-March 2020, adults admitted to the medical wards were enrolled, prior to interruption by covid19, and 30-day mortality assessed. Clinical parameters including temperature, heart and respiratory rates, systolic blood pressure, oxygen saturation, Glasgow Coma Scale score, and HIV status were collected within 24 hours of admission as part of routine care. Lower respiratory tract infections (LRTI) included pneumonia and suspected pulmonary tuberculosis. To evaluate the predictive ability of the UVA score, area under the receiver operating characteristic curve (aROC) and age-sex adjusted binary logistic regression models were generated, and compared to the sequential organ failure assessment (qSOFA). Results Sixty one patients were enrolled; outcomes were available for 56 patients. Patients had a mean age of 52 (SD+17), 51% were women, and 46% were HIV infected. The 30-day mortality was 16.1% (9/56) with infections and non-communicable diseases comprising 47% and 47% of admission diagnoses, respectively. The most common admitting diagnosis was LRTI (24.6%). The median (+IQR) UVA score was 2 (+3) accounting for 36% of participants. Medium-risk (2-4) and high-risk (&amp;gt;4) UVA groups were not associated with 30-day mortality, although the high-risk score trended towards significance (p=0.07). However, a UVA score &amp;gt; 3 was significantly associated with 30-day mortality, both alone and after adjusting for age and sex (aOR 6.2, 95% CI 1.2-33.1; p=0.03). The aROC (95% CI) for the UVA score was 0.74 (0.55 – 0.93), which performed better than qSOFA (aROC 0.59, 95% CI 0.37-0.81) and is shown in Figure 1. Conclusion In this resource-limited, HIV-prevalent setting, the UVA score predicted mortality better than the qSOFA score. A moderate-risk UVA score (&amp;gt;3) was predictive of 30-day mortality, though needs to be confirmed in larger studies. Disclosures All Authors: No reported disclosures

open forum infectious diseases

771. Prospective validation of the universal vital assessment (UVA) score to predict the in-hospital mortality of patients with acute illness admitted to a government district hospital in KwaZulu-Natal, South Africa