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Adegbite BR, Edoa JR, Ndzebe Ndoumba WF, Dimessa Mbadinga LB, Mombo-Ngoma G, Jacob ST, Rylance J, Hänscheid T, Adegnika AA, Grobusch MP. A comparison of different scores for diagnosis and mortality prediction of adults with sepsis in Low-and-Middle -Income Countries: a systematic review and meta-analysis. EClinicalMedicine 2021; 42:101184. [PMID: 34765956 PMCID: PMC8569629 DOI: 10.1016/j.eclinm.2021.101184] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/11/2021] [Accepted: 10/19/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Clinical scores for sepsis have been primarily developed for, and applied in High-Income Countries. This systematic review and meta-analysis examined the performance of the quick Sequential Organ Failure Assessment (qSOFA), Systemic Inflammatory Response Syndrome (SIRS), Modified Early Warning Score (MEWS), and Universal Vital Assessment (UVA) scores for diagnosis and prediction of mortality in patients with suspected infection in Low-and-Middle-Income Countries. METHODS PubMed, Science Direct, Web of Science, and the Cochrane Central Register of Controlled Trials databases were searched until May 18, 2021. Studies reporting the performance of at least one of the above-mentioned scores for predicting mortality in patients of 15 years of age and older with suspected infection or sepsis were eligible. The Quality Assessment of Diagnostic Accuracy Studies tool was used for risk-of-bias assessment. PRISMA guidelines were followed (PROSPERO registration: CRD42020153906). The bivariate random-effects regression model was used to pool the individual sensitivities, specificities and areas-under-the-curve (AUC). FINDINGS Twenty-four articles (of 5669 identified) with 27,237 patients were eligible for inclusion. qSOFA pooled sensitivity was 0·70 (95% confidence interval [CI] 0·60-0·78), specificity 0·73 (95% CI 0·67-0·79), and AUC 0·77 (95% CI 0·72-0·82). SIRS pooled sensitivity, specificity and AUC were 0·88 (95% CI 0·79 -0·93), 0·34 (95% CI 0·25-0·44), and 0·69 (95% CI 0·50-0·83), respectively. MEWS pooled sensitivity, specificity and AUC were 0·70 (95% CI 0·57 -0·81), 0·61 (95% CI 0·42-0·77), and 0·72 (95% CI 0·64-0·77), respectively. UVA pooled sensitivity, specificity and AUC were 0·49 (95% CI 0·33 -0·65), 0·91(95% CI 0·84-0·96), and 0·76 (95% CI 0·44-0·93), respectively. Significant heterogeneity was observed in the pooled analysis. INTERPRETATION Individual score performances ranged from poor to acceptable. Future studies should combine selected or modified elements of different scores. FUNDING Partially funded by the UK National Institute for Health Research (NIHR) (17/63/42).
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Affiliation(s)
- Bayode R Adegbite
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, location AMC, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, The Netherlands
- Institut für Tropenmedizin, Universität Tübingen and German Center for Infection Research, Tübingen, Germany
| | - Jean R Edoa
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, location AMC, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, The Netherlands
- Institut für Tropenmedizin, Universität Tübingen and German Center for Infection Research, Tübingen, Germany
| | - Wilfrid F Ndzebe Ndoumba
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
| | - Lia B Dimessa Mbadinga
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
| | - Ghyslain Mombo-Ngoma
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
- Institut für Tropenmedizin, Universität Tübingen and German Center for Infection Research, Tübingen, Germany
- Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine & I Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Shevin T Jacob
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool
- Walimu, Kampala, Uganda
| | - Jamie Rylance
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool
- Malawi-Liverpool-Wellcome Trust, Chichiri, Blantyre, Malawi
| | - Thomas Hänscheid
- Instituto de Microbiologica, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Ayola A Adegnika
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
- Institut für Tropenmedizin, Universität Tübingen and German Center for Infection Research, Tübingen, Germany
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Martin P Grobusch
- Centre de Recherches Médicales de Lambaréné and African Partner Institution, German Center for Infection Research (CERMEL), Lambaréné, Gabon
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, location AMC, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, The Netherlands
- Institut für Tropenmedizin, Universität Tübingen and German Center for Infection Research, Tübingen, Germany
- MasangaMedical Research Unit, Masanga, Sierra Leone
- Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Correspondence: Prof. Martin P. Grobusch, Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands, Phone: +31 6 566 4380
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Variation of vital signs with potential to influence the performance of qSOFA scoring in the Ethiopian general population at different altitudes of residency: A multisite cross-sectional study. PLoS One 2021; 16:e0245496. [PMID: 33539398 PMCID: PMC7861372 DOI: 10.1371/journal.pone.0245496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 12/30/2020] [Indexed: 12/05/2022] Open
Abstract
Introduction The physiological range of different vital signs is dependent on various environmental and individual factors. There is a strong interdependent relationship between vital signs and health conditions. Deviations of the physiological range are commonly used for risk assessment in clinical scores, e.g. respiratory rate (RR) and systolic blood pressure (BPsys) in patients with infections within the quick sequential organ failure assessment (qSOFA) score. A limited number of studies have evaluated the performance of such scores in resource-limited health care settings, showing inconsistent results with mostly poor discriminative power. Divergent standard values of vital parameters in different populations, e.g. could influence the accuracy of various clinical scores. Methods This multisite cross-sectional observational study was performed among Ethiopians residing at various altitudes in the cities of Asella (2400m above sea level (a.s.l.)), Adama (1600m a.s.l.), and Semara (400m a.s.l.). Volunteers from the local general population were asked to complete a brief questionnaire and have vital signs measured. Individuals reporting acute or chronic illness were excluded. Results A positive qSOFA score (i.e. ≥2), indicating severe illness in patients with infection, was common among the studied population (n = 612). The proportion of participants with a positive qSOFA score was significantly higher in Asella (28.1%; 55/196), compared with Adama, (8.3%; 19/230; p<0.001) and Semara (15.1%; 28/186; p = 0.005). Concerning the parameters comprised in qSOFA, the thresholds for RR (≥22/min) were reached in 60.7%, 34.8%, and 38.2%, and for BPsys (≤100 mmHg) in 48.5%, 27.8%, and 36.0% in participants from Asella, Adama, and Semara, respectively. Discussion The high positivity rate of qSOFA score in the studied population without signs of acute infection may be explained by variations of the physiological range of different vital signs, possibly related to the altitude of residence. Adaptation of existing scores using local standard values could be helpful for reliable risk assessment.
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