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- W4309754705 abstract "BACKGROUND: No studies have examined the course and outcomes of coronavirus disease 2019 (COVID-19) in patients with advanced HIV infection, which prompted this analysis.
 AIM: To identify predictors of the adverse outcomes of COVID-19 in patients with HIV at the stage of secondary diseases to develop a predictive model of outcomes. This will help simplify the decision-making on the management of patients with COVID-19 and HIV infection at advanced stages.
 MATERIALS AND METHODS: This single-center study included 300 patients aged 18 years with HIV infection at advanced disease stage and moderate-to-severe COVID-19 requiring in-patient treatment.
 RESULTS: The mortality rate was 27.3% (95% CI, 22.7%32.4%). Factors reflecting respiratory failure, immunodeficiency, decreased levels of protein and albumin, and increased levels of urea became unfavorable. A predictive model of adverse outcomes of COVID-19 in patients with advanced HIV infection has been obtained.
 CONCLUSIONS: The proposed predictive model can help a practical healthcare doctor make a quick, informed decision on hospitalization of a patient in the intensive care unit and active therapeutic actions." @default.
- W4309754705 created "2022-11-29" @default.
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- W4309754705 date "2022-12-13" @default.
- W4309754705 modified "2023-09-27" @default.
- W4309754705 title "Predictive model of COVID-19 outcomes in patients with advanced HIV infection" @default.
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- W4309754705 doi "https://doi.org/10.17816/eid110907" @default.
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