Authors
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Patrick Kobo Utumpu
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
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Wilfrid Mbombo Dibue
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
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Jean-Robert Makulo Rissassi
Department of Internal Medicine of the University Clinics of Kinshasa, Faculty of Medicine of the University of Kinshasa, Democratic Republic of the Congo
Author
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Médard Bulabula Isokomua
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
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Eric Amisi Bibonge
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
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Yannick Nlandu Mayamba
Department of Internal Medicine of the University Clinics of Kinshasa, Faculty of Medicine of the University of Kinshasa, Democratic Republic of the Congo
Author
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Danny Mafuta Munganga
Department of Internal Medicine of the University Clinics of Kinshasa, Faculty of Medicine of the University of Kinshasa, Democratic Republic of the Congo
Author
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Yannick Engole Mompango
Department of Internal Medicine of the University Clinics of Kinshasa, Faculty of Medicine of the University of Kinshasa, Democratic Republic of the Congo
Author
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Joseph Tsangu Phuati
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
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Givenchy Mfulani Mpenda
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
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Berthe Barhayiga Nsimire
Department of Anesthesia Resuscitation, University Clinics of Kinshasa, University of Kinshasa, Democratic Republic of the Congo
Author
Keywords:
tropICS, Performance
Abstract
Introduction: Several scores are used to assess prognosis in intensive care units (ICU). The Tropical Intensive Care Score (tropICS) has been proposed as an alternative in low income countries. Our objective was to assess the performance of tropICS in a few ICUs in Kinshasa. Methods: This was a multicenter cohort over the period 01/03 to 04/02/2021. The performance of "tropICS" was evaluated by analysis of the area under the ROC curve and calibration with the Lemeshow-Hosmer test. Results: A total of 249 patients with a mean age of 54 years with a sex ratio of 1.9 men to 1 woman were selected in four ICUs in Kinshasa. Medical (89%), surgical (8%) and traumatic (3%) conditions were the causes of admissions, with an average length of stay of 4 (2 to 7) days. The death rate was 38.2%. After analysis of the ROC curve, a tropICS value ≥ 3.8 predicted mortality with a sensitivity of 92.6%, a specificity of 77.9%, good discrimination with an area under the ROC curve of 0.85 (CI 0.80 - 0.90) and a poor calibration of with p < 0.05. Conclusion: tropICS is a simple and powerful tool for identifying high-risk patients and can be used in ICUs in Kinshasa