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. 2019 Dec;24(12):1369-1383.
doi: 10.1111/tmi.13319. Epub 2019 Nov 19.

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

Christian S Marchello  1 , Ariella P Dale  2 , Sruti Pisharody  3 , John A Crump  1
Affiliations

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

Christian S Marchello et al. Trop Med Int Health. 2019 Dec.

Abstract
in English, French

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.

Objectifs: Les études hospitalières d'infections d'origine sanguine acquises dans la communauté (IS-AC) consomment moins de ressources que les études d'incidence basées sur la population. Nous avons examiné plusieurs paramètres permettant de déterminer le rôle de Salmonella typhi comme cause des IS-AC pour permettre des déductions sur l'incidence. MÉTHODES: Nous avons systématiquement passé en revue trois bases de données sur des études hospitalières d’IS-AC. Par étude, nous avons déterminé la prévalence et l’ordre de classement de Salmonella parmi les isolats de pathogènes sanguins, ainsi que le rapport de prévalence de Salmonella typhi et Escherichia coli (rapport S:E). Nous décrivons ensuite ces résultats d’étude en milieu hospitalier en relation avec les données d’incidence de la fièvre typhoïde basées sur la population, tirées d’une revue systématique distincte. RÉSULTATS: Quarante-quatre études remplissaient les critères d'inclusion, dont 23 (52,3%) avaient isolé au moins une fois Salmonella typhi. Parmi les études isolant Salmonella typhi, la prévalence médiane (intervalle interquartile) et l’ordre de classement de Salmonella typhi par rapport aux autres agents pathogènes isolés de sangs étaient de 8,3% (3,2 à 37,9%) et de 3 (1-6), respectivement. Le rapport S:E médian (intervalle interquartile) était de 1,0 (0,4 à 3,0). En ce qui concerne l’incidence, sur l’île de Pemba, en Tanzanie, la prévalence, l’ordre de classement, le rapport S:E et l’incidence étaient respectivement de 64,8% ; 1 ; 9,2 et 110 cas pour 100.000, et dans le Boulkiemdé, au Burkina Faso, de 13,3% ; 3 ; 2,3 et 249 cas pour 100.000 habitants.

Conclusions: Nous décrivons une variation considérable selon le lieu et le moment de la prévalence, de l'ordre de classement et du rapport S:E de Salmonella typhi parmi les études hospitalières sur les IS-AC. Les données provenant d'études simultanées sur la prévalence et l'incidence de la typhoïde sont limitées. Au vu des variations, nous proposons que les métriques d’étude en milieu hospitalier soient évaluées en tant que covariables dans les modèles de détermination de l’incidence de la typhoïde.

Keywords: Salmonella typhi; Salmonella Typhi; fièvre typhoïde; modelling; modélisation; prevalence; prévalence; typhoid fever.

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Figures

Figure 1
Figure 1
Preferred reporting items for systematic reviews and meta-analyses flow diagram of search strategy and selection of articles that isolated Salmonella Typhi among community-onset bloodstream infections, global, 1946–2018.
Figure 2
Figure 2
Rank order of isolated pathogens causing BSI, Africa and Asia, 1984–2014.
Figure 3
Figure 3
Location of hospital-based prevalence and population-based incidence studies by study type and United Nations sub-regions in Africa [77].
Figure 4
Figure 4
Location of hospital-based prevalence and population-based incidence studies by study type and United Nations sub-regions in Asia [78].
See this image and copyright information in PMC

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