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Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence

OBJECTIVES: Hospital-based studies of community-onset bloodstream infections (CO-BSI) are less resource-intensive to carry out than population-based incidence studies. We examined several metrics capturing the potential role of Salmonella Typhi as a cause of CO-BSI for making inferences about incide...

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Autores principales: Marchello, Christian S., Dale, Ariella P., Pisharody, Sruti, Crump, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916262/
https://www.ncbi.nlm.nih.gov/pubmed/31633858
http://dx.doi.org/10.1111/tmi.13319
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author Marchello, Christian S.
Dale, Ariella P.
Pisharody, Sruti
Crump, John A.
author_facet Marchello, Christian S.
Dale, Ariella P.
Pisharody, Sruti
Crump, John A.
author_sort Marchello, Christian S.
collection PubMed
description OBJECTIVES: Hospital-based studies of community-onset bloodstream infections (CO-BSI) are less resource-intensive to carry out than population-based incidence studies. We examined several metrics capturing the potential role of Salmonella Typhi as a cause of CO-BSI for making inferences about incidence. METHODS: We systematically reviewed three databases for hospital-based studies of CO-BSI. We determined, by study, the prevalence and rank order of Salmonella among pathogenic bloodstream isolates, and the prevalence ratio of Salmonella Typhi to Escherichia coli (S:E ratio). We then describe these hospital-based study metrics in relation to population-based typhoid fever incidence data from a separate systematic review. RESULTS: Forty-four studies met the inclusion criteria, of which 23 (52.3%) isolated Salmonella Typhi at least once. Among studies isolating Salmonella Typhi, the median (interquartile range) prevalence and rank order of Salmonella Typhi compared to other pathogens isolated in BSI was 8.3% (3.2–37.9%) and 3 (1–6), respectively. The median (interquartile range) S:E ratio was 1.0 (0.4–3.0). With respect to incidence, in Pemba Island, Tanzania, prevalence, rank order, S:E ratio, and incidence was 64.8%, 1, 9.2 and 110 cases per 100 000, respectively, and in Boulkiemdé, Burkina Faso, was 13.3%, 3, 2.3 and 249 cases per 100 000. CONCLUSIONS: We describe considerable variation in place and time for Salmonella Typhi prevalence, rank order, and S:E ratio among hospital-based studies of CO-BSI. Data from simultaneous typhoid prevalence and incidence studies are limited. We propose that hospital-based study metrics warrant evaluation for making inference about typhoid incidence and as covariates in typhoid incidence models.
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spelling pubmed-69162622019-12-17 Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence Marchello, Christian S. Dale, Ariella P. Pisharody, Sruti Crump, John A. Trop Med Int Health Review OBJECTIVES: Hospital-based studies of community-onset bloodstream infections (CO-BSI) are less resource-intensive to carry out than population-based incidence studies. We examined several metrics capturing the potential role of Salmonella Typhi as a cause of CO-BSI for making inferences about incidence. METHODS: We systematically reviewed three databases for hospital-based studies of CO-BSI. We determined, by study, the prevalence and rank order of Salmonella among pathogenic bloodstream isolates, and the prevalence ratio of Salmonella Typhi to Escherichia coli (S:E ratio). We then describe these hospital-based study metrics in relation to population-based typhoid fever incidence data from a separate systematic review. RESULTS: Forty-four studies met the inclusion criteria, of which 23 (52.3%) isolated Salmonella Typhi at least once. Among studies isolating Salmonella Typhi, the median (interquartile range) prevalence and rank order of Salmonella Typhi compared to other pathogens isolated in BSI was 8.3% (3.2–37.9%) and 3 (1–6), respectively. The median (interquartile range) S:E ratio was 1.0 (0.4–3.0). With respect to incidence, in Pemba Island, Tanzania, prevalence, rank order, S:E ratio, and incidence was 64.8%, 1, 9.2 and 110 cases per 100 000, respectively, and in Boulkiemdé, Burkina Faso, was 13.3%, 3, 2.3 and 249 cases per 100 000. CONCLUSIONS: We describe considerable variation in place and time for Salmonella Typhi prevalence, rank order, and S:E ratio among hospital-based studies of CO-BSI. Data from simultaneous typhoid prevalence and incidence studies are limited. We propose that hospital-based study metrics warrant evaluation for making inference about typhoid incidence and as covariates in typhoid incidence models. John Wiley & Sons Ltd 2019-12-21 2019 /pmc/articles/PMC6916262/ /pubmed/31633858 http://dx.doi.org/10.1111/tmi.13319 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Marchello, Christian S.
Dale, Ariella P.
Pisharody, Sruti
Crump, John A.
Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
title Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
title_full Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
title_fullStr Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
title_full_unstemmed Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
title_short Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
title_sort using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916262/
https://www.ncbi.nlm.nih.gov/pubmed/31633858
http://dx.doi.org/10.1111/tmi.13319
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