biostudies-literatureUnknown27(4)Bishop LAAHRQ HHSNHLBI NIH HHS<h4>Background</h4>The Quick Sequential Organ Failure Assessment (qSOFA) score is a simple bedside tool validated outside of the intensive care unit (ICU) to identify patients with suspected infection who are at risk for poor outcomes.<h4>Objectives</h4>To assess qSOFA at the time of ICU referral as a mortality prognosticator in adult medical v. surgical patients with suspected infection admitted to an ICU in a resource-limited regional hospital in South Africa (SA).<h4>Methods</h4>We conducted a retrospective cohort study on adult medical or surgical patients that were admitted to an ICU in a resource-limited hospital in SA. We performed univariate and multivariable logistic regression and compared nested models using likelihood ratio test, and we calculated the area under the receiver opAfrican journal of thoracic and critical care medicinehttps://www.ebi.ac.uk/biostudies/studies/S-EPMC8948475biostudies-literaturePrognostic value of the Quick Sepsis-related Organ Failure Assessment (qSOFA) score among critically ill medical and surgical patients with suspected infection in a resource-limited setting.PMC8948475L30 HL154200K12 HS026372Wise RDSavarimuthu SMBishop LAWilson DPKAnesi GLfalsePrognostic value of the Quick Sepsis-related Organ Failure Assessment (qSOFA) score among critically ill medical and surgical patients with suspected infection in a resource-limited setting.<h4>Background</h4>The Quick Sequential Organ Failure Assessment (qSOFA) score is a simple bedside tool validated outside of the intensive care unit (ICU) to identify patients with suspected infection who are at risk for poor outcomes.<h4>Objectives</h4>To assess qSOFA at the time of ICU referral as a mortality prognosticator in adult medical v. surgical patients with suspected infection admitted to an ICU in a resource-limited regional hospital in South Africa (SA).<h4>Methods</h4>We conducted a retrospective cohort study on adult medical or surgical patients that were admitted to an ICU in a resource-limited hospital in SA. We performed univariate and multivariable logistic regression and compared nested models using likelihood ratio test, and we calculated the area under the receiver op2021-01-01T00:00:00Z20212025-04-04T21:33:25.091Z2025-04-04T21:33:25.091ZS-EPMC89484753535969310.7196/AJTCCM.2021.v27i4.158