Prognostic value of quickSOFA as a predictor of 28-day mortality among febrile adult patients presenting to emergency departments in Dar es Salaam, Tanzania

Noémie Boillat-Blanco, Zainab Mbarack, Josephine Samaka, Tarsis Mlaganile, Aline Mamin, Blaise Genton, Laurent Kaiser, Thierry Calandra, Valérie D'Acremont, Noémie Boillat-Blanco, Zainab Mbarack, Josephine Samaka, Tarsis Mlaganile, Aline Mamin, Blaise Genton, Laurent Kaiser, Thierry Calandra, Valérie D'Acremont

Abstract

Background: Quick Sequential Organ Failure Assessment (qSOFA) is a three-item clinical instrument for bedside identification of sepsis patients at risk of poor outcome. qSOFA could be a valuable triage tool in emergency departments of low-income countries, yet its performance in resource-limited settings remains unknown. The prognostic accuracy of qSOFA for 28-day all-cause mortality in febrile adults treated at the EDs in a low-income country was evaluated.

Methods: Retrospective analysis of a prospective cohort study of consecutive patients (≥18 years) with fever (tympanic temperature ≥38°C and fever ≤7 days) who presented between July 2013 and May 2014 at four emergency departments in Dar es Salaam, Tanzania. Medical history, clinical examination, laboratory and microbiological data were collected to document the cause of fever. Variables for the previous and new sepsis criteria were collected at inclusion and qSOFA, SOFA and SIRS were measured at inclusion. Patients were followed up by phone at day 28. The performance (sensitivity, specificity and area under the receiver operating curve [AUROC]) of qSOFA (score ≥2), SOFA (increase of ≥2 points) and SIRS (≥2 criteria) as predictors of 28-day all-cause mortality was evaluated.

Results: Among the 519 patients (median age: 30 years) included in the analysis, 47% were female and 25% were HIV positive. Overall, 85% had a microbiologically and/or clinically documented infection and 15% a fever of unknown origin. The most common site and causes of infections were the respiratory tract (43%), dengue (26%), malaria (6%) and typhoid fever (5%). Twenty-eight-day all-cause mortality was 6%: 3% for patients with a qSOFA <2 and 24% for those with a score ≥2 (absolute difference, 21%; 95% CI 12%-31%). The prognostic accuracy of qSOFA (AUROC 0.80, 95% CI 0.73-0.87) for 28-day mortality was similar to SOFA (AUROC 0.79, 0.71-0.87; p = 0.1) and better than SIRS (AUROC 0.61, 0.52-0.71; p<0.001).

Conclusions: Among patients with fever at emergency departments in Tanzania, qSOFA had a prognostic accuracy for 28-day mortality comparable to SOFA and superior to SIRS. These results support the use of qSOFA as a triage tool to identify patients with sepsis and at risk of poor outcome in resource-limited countries.

Trial registration: Clinicaltrials.gov Identifier: NCT01947075.

Conflict of interest statement

Prof. Thierry Calandra served as a board member for Abbott and Sobi Advisory Board. He also consulted for Immunexpress, Biocartis and Abtik. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1. Flowchart of eligible patients and…
Fig 1. Flowchart of eligible patients and exclusion criteria.
Fig 2. Receiver operating characteristic (ROC) curves…
Fig 2. Receiver operating characteristic (ROC) curves for 28-day mortality.
SOFA indicates Sequential (Sepsis-related) Organ Failure Assessment; qSOFA, quick SOFA; SIRS, systemic inflammatory response syndrome. The area under the ROC curves (AUROC) for qSOFA is 0.80 (95% CI 0.73–0.87), SOFA 0.79 (95% CI 0.71–0.87) and SIRS 0.61 (95% CI 0.52–0.71).

References

    1. Petit PL, van Ginneken JK. Analysis of hospital records in four African countries, 1975–1990, with emphasis on infectious diseases. The Journal of tropical medicine and hygiene. 1995;98(4):217–27. Epub 1995/08/01. .
    1. Peters RP, Zijlstra EE, Schijffelen MJ, Walsh AL, Joaki G, Kumwenda JJ, et al. A prospective study of bloodstream infections as cause of fever in Malawi: clinical predictors and implications for management. Tropical medicine & international health: TM & IH. 2004;9(8):928–34. Epub 2004/08/12. doi: .
    1. Crump JA, Morrissey AB, Nicholson WL, Massung RF, Stoddard RA, Galloway RL, et al. Etiology of severe non-malaria febrile illness in Northern Tanzania: a prospective cohort study. PLoS neglected tropical diseases. 2013;7(7):e2324 Epub 2013/07/23. doi: .
    1. Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A, et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA: the journal of the American Medical Association. 2016;315(8):762–74. doi: .
    1. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Intensive care medicine. 2017;43(3):304–77. doi: .
    1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA: the journal of the American Medical Association. 2016;315(8):801–10. doi: .
    1. Freund Y, Lemachatti N, Krastinova E, Van Laer M, Claessens YE, Avondo A, et al. Prognostic Accuracy of Sepsis-3 Criteria for In-Hospital Mortality Among Patients With Suspected Infection Presenting to the Emergency Department. JAMA: the journal of the American Medical Association. 2017;317(3):301–8. doi: .
    1. Wang JY, Chen YX, Guo SB, Mei X, Yang P. Predictive performance of quick Sepsis-related Organ Failure Assessment for mortality and ICU admission in patients with infection at the ED. Am J Emerg Med. 2016;34(9):1788–93. doi: .
    1. Singer AJ, Ng J, Thode HC Jr., Spiegel R, Weingart S. Quick SOFA Scores Predict Mortality in Adult Emergency Department Patients With and Without Suspected Infection. Ann Emerg Med. 2017;69(4):475–9. doi: .
    1. Park HK, Kim WY, Kim MC, Jung W, Ko BS. Quick sequential organ failure assessment compared to systemic inflammatory response syndrome for predicting sepsis in emergency department. J Crit Care. 2017;42:12–7. doi: .
    1. Giamarellos-Bourboulis EJ, Tsaganos T, Tsangaris I, Lada M, Routsi C, Sinapidis D, et al. Validation of the new Sepsis-3 definitions: proposal for improvement in early risk identification. Clinical microbiology and infection: the official publication of the European Society of Clinical Microbiology and Infectious Diseases. 2017;23(2):104–9. doi: .
    1. Finkelsztein EJ, Jones DS, Ma KC, Pabon MA, Delgado T, Nakahira K, et al. Comparison of qSOFA and SIRS for predicting adverse outcomes of patients with suspicion of sepsis outside the intensive care unit. Crit Care. 2017;21(1):73 doi: .
    1. Churpek MM, Snyder A, Han X, Sokol S, Pettit N, Howell MD, et al. Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit. American journal of respiratory and critical care medicine. 2017;195(7):906–11. doi: .
    1. Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P, et al. Assessment of Global Incidence and Mortality of Hospital-treated Sepsis. Current Estimates and Limitations. American journal of respiratory and critical care medicine. 2016;193(3):259–72. doi: .
    1. D’Acremont V, Kilowoko M, Kyungu E, Philipina S, Sangu W, Kahama-Maro J, et al. Beyond malaria—causes of fever in outpatient Tanzanian children. The New England journal of medicine. 2014;370(9):809–17. Epub 2014/02/28. doi: .
    1. Dunser MW, Festic E, Dondorp A, Kissoon N, Ganbat T, Kwizera A, et al. Recommendations for sepsis management in resource-limited settings. Intensive care medicine. 2012;38(4):557–74. Epub 2012/02/22. doi: .
    1. Huson MA, Kalkman R, Grobusch MP, van der Poll T. Predictive value of the qSOFA score in patients with suspected infection in a resource limited setting in Gabon. Travel Med Infect Dis. 2017;15:76–7. doi: .

Source: PubMed

3
Předplatit