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Scoring systems for organ dysfunction (e.g., the quick Sepsis-related Organ Failure Assessment [qSOFA], Modified Early Warning Score [MEWS], and Universal Vital Assessment [UVA]) are proposed as clinical criteria for sepsis. The content validity of these scoring systems is poorly understood in sub-Saharan Africa, where the global sepsis burden is concentrated. In a prospective cohort of 288 adults hospitalized with suspected sepsis in Uganda, we show that qSOFA, MEWS, and UVA scores were significantly associated with soluble mediators of innate and adaptive immune activation, endothelial dysfunction, and fibrinolysis. Results were consistent after adjustment for demographics, illness duration, and HIV or malaria coinfection. In resource-limited settings in sub-Saharan Africa, organ dysfunction scores may stratify patients at highest risk of poor outcomes and those with more dysregulated host responses. Further studies are needed to better define these relationships, including the temporal dynamics of dysregulated host responses and organ dysfunction in sepsis.
Financial support: This work was supported by the
Disclosures: Each enrolled participant 18 years old or older or their surrogate provided written informed consent. The study was approved by ethics committees at Columbia University (AAAR1450), the Uganda Virus Research Institute (GC/127/17/02-06/582), and the Uganda National Council for Science and Technology (HS2308).
Authors’ contributions: J. Tiao and M. J. Cummings conceived the study and its design. B. Bakamutumaho, N. Owor, J. Kayiwa, J. Namulondo, T. Byaruhanga, M. Muwanga, C. Nsereko, I. Nayiga, and J. J. Lutwama collected, organized, and entered clinical data and blood samples and contributed to pathogen diagnostics. J. Tiao performed statistical analyses. J. Tiao, B. Bakamutumaho, X. Che, W. I. Lipkin, M. R. O’Donnell, and M. J. Cummings contributed to data analysis and interpretation. J. Tiao and M. J. Cummings drafted the manuscript. All authors critically revised the drafted manuscript and approved of the submitted manuscript.
Data availability: Analytic R code is available in GitHub at https://github.com/JT17/organ_dysfunction_scoring_systems/blob/main/qsofa_mews_uva_ordinal_regression.R. Deidentified data will be made available to researchers affiliated with an appropriate institution after mutual signing of a data access agreement and obtainment of necessary ethics approvals.
Current contact information: Jonathan Tiao, Department of Medicine, Columbia University Irving Medical Center/NewYork-Presbyterian Hospital, New York, NY, E-mail: jt3105@cumc.columbia.edu. Barnabas Bakamutumaho, Nicholas Owor, John Kayiwa, Joyce Namulondo, Timothy Byaruhanga, and Julius J. Lutwama, Department of Arbovirology, Emerging and Re-emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda, E-mails: bbarnabas2001@yahoo.com, nicowor@gmail.com, jkayiwa@yahoo.com, jonacla.j@gmail.com, tssekandi@gmail.com, and jjlutwama03@yahoo.com. Moses Muwanga, Christopher Nsereko, and Irene Nayiga, Entebbe General Referral Hospital, Ministry of Health, Entebbe, Uganda, E-mails: fahimmuwanga@gmail.com, chrisdoc23@yahoo.com, and inayiga2@gmail.com. Xiaoyu Che and W. Ian Lipkin, Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, E-mails: xc2273@cumc.columbia.edu and wil2001@cumc.columbia.edu. Max R. O’Donnell and Matthew J. Cummings, Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, E-mails: mo2130@cumc.columbia.edu and mjc2244@columbia.edu.
Past two years | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 919 | 919 | 919 |
Full Text Views | 23 | 23 | 23 |
PDF Downloads | 15 | 15 | 15 |