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Infection Manager System (IMS) as a new hemocytometry-based bacteremia detection tool: A diagnostic accuracy study in a malaria-endemic area of Burkina Faso

New hemocytometric parameters can be used to differentiate causes of acute febrile illness (AFI). We evaluated a software algorithm-Infection Manager System (IMS)-which uses hemocytometric data generated by Sysmex hematology analyzers, for its accuracy to detect bacteremia in AFI patients with and w...

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Published in:PLoS neglected tropical diseases 2021-03, Vol.15 (3), p.e0009187-e0009187
Main Authors: Post, Annelies, Kaboré, Berenger, Bognini, Joel, Diallo, Salou, Lompo, Palpouguini, Kam, Basile, Herssens, Natacha, van Opzeeland, Fred, van der Gaast-de Jongh, Christa E, Langereis, Jeroen D, de Jonge, Marien I, Rahamat-Langendoen, Janette, Bousema, Teun, Wertheim, Heiman, Sauerwein, Robert W, Tinto, Halidou, Jacobs, Jan, de Mast, Quirijn, van der Ven, Andre J
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cited_by cdi_FETCH-LOGICAL-c593t-c97545583368237e8cd3ade71f3b4711a267bc3cbeebe32128d57266805e1f933
cites cdi_FETCH-LOGICAL-c593t-c97545583368237e8cd3ade71f3b4711a267bc3cbeebe32128d57266805e1f933
container_end_page e0009187
container_issue 3
container_start_page e0009187
container_title PLoS neglected tropical diseases
container_volume 15
creator Post, Annelies
Kaboré, Berenger
Bognini, Joel
Diallo, Salou
Lompo, Palpouguini
Kam, Basile
Herssens, Natacha
van Opzeeland, Fred
van der Gaast-de Jongh, Christa E
Langereis, Jeroen D
de Jonge, Marien I
Rahamat-Langendoen, Janette
Bousema, Teun
Wertheim, Heiman
Sauerwein, Robert W
Tinto, Halidou
Jacobs, Jan
de Mast, Quirijn
van der Ven, Andre J
description New hemocytometric parameters can be used to differentiate causes of acute febrile illness (AFI). We evaluated a software algorithm-Infection Manager System (IMS)-which uses hemocytometric data generated by Sysmex hematology analyzers, for its accuracy to detect bacteremia in AFI patients with and without malaria in Burkina Faso. Secondary aims included comparing the accuracy of IMS with C-reactive protein (CRP) and procalcitonin (PCT). In a prospective observational study, patients of ≥ three-month-old (range 3 months- 90 years) presenting with AFI were enrolled. IMS, blood culture and malaria diagnostics were done upon inclusion and additional diagnostics on clinical indication. CRP, PCT, viral multiplex PCR on nasopharyngeal swabs and bacterial- and malaria PCR were batch-tested retrospectively. Diagnostic classification was done retrospectively using all available data except IMS, CRP and PCT results. A diagnosis was affirmed in 549/914 (60.1%) patients and included malaria (n = 191) bacteremia (n = 69), viral infections (n = 145), and malaria-bacteremia co-infections (n = 47). The overall sensitivity, specificity, and negative predictive value (NPV) of IMS for detection of bacteremia in patients of ≥ 5 years were 97.0% (95% CI: 89.8-99.6), 68.2% (95% CI: 55.6-79.1) and 95.7% (95% CI: 85.5-99.5) respectively, compared to 93.9% (95% CI: 85.2-98.3), 39.4% (95% CI: 27.6-52.2), and 86.7% (95% CI: 69.3-96.2) for CRP at ≥20mg/L. The sensitivity, specificity and NPV of PCT at 0.5 ng/ml were lower at respectively 72.7% (95% CI: 60.4-83.0), 50.0% (95% CI: 37.4-62.6) and 64.7% (95% CI: 50.1-77.6) The diagnostic accuracy of IMS was lower among malaria cases and patients
doi_str_mv 10.1371/journal.pntd.0009187
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We evaluated a software algorithm-Infection Manager System (IMS)-which uses hemocytometric data generated by Sysmex hematology analyzers, for its accuracy to detect bacteremia in AFI patients with and without malaria in Burkina Faso. Secondary aims included comparing the accuracy of IMS with C-reactive protein (CRP) and procalcitonin (PCT). In a prospective observational study, patients of ≥ three-month-old (range 3 months- 90 years) presenting with AFI were enrolled. IMS, blood culture and malaria diagnostics were done upon inclusion and additional diagnostics on clinical indication. CRP, PCT, viral multiplex PCR on nasopharyngeal swabs and bacterial- and malaria PCR were batch-tested retrospectively. Diagnostic classification was done retrospectively using all available data except IMS, CRP and PCT results. A diagnosis was affirmed in 549/914 (60.1%) patients and included malaria (n = 191) bacteremia (n = 69), viral infections (n = 145), and malaria-bacteremia co-infections (n = 47). The overall sensitivity, specificity, and negative predictive value (NPV) of IMS for detection of bacteremia in patients of ≥ 5 years were 97.0% (95% CI: 89.8-99.6), 68.2% (95% CI: 55.6-79.1) and 95.7% (95% CI: 85.5-99.5) respectively, compared to 93.9% (95% CI: 85.2-98.3), 39.4% (95% CI: 27.6-52.2), and 86.7% (95% CI: 69.3-96.2) for CRP at ≥20mg/L. The sensitivity, specificity and NPV of PCT at 0.5 ng/ml were lower at respectively 72.7% (95% CI: 60.4-83.0), 50.0% (95% CI: 37.4-62.6) and 64.7% (95% CI: 50.1-77.6) The diagnostic accuracy of IMS was lower among malaria cases and patients &lt;5 years but remained equal to- or higher than the accuracy of CRP. IMS is a new diagnostic tool to differentiate causes of AFI. Its high NPV for bacteremia has the potential to improve antibiotic dispensing practices in healthcare facilities with hematology analyzers. Future studies are needed to evaluate whether IMS, combined with malaria diagnostics, may be used to rationalize antimicrobial prescription in malaria endemic areas. 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We evaluated a software algorithm-Infection Manager System (IMS)-which uses hemocytometric data generated by Sysmex hematology analyzers, for its accuracy to detect bacteremia in AFI patients with and without malaria in Burkina Faso. Secondary aims included comparing the accuracy of IMS with C-reactive protein (CRP) and procalcitonin (PCT). In a prospective observational study, patients of ≥ three-month-old (range 3 months- 90 years) presenting with AFI were enrolled. IMS, blood culture and malaria diagnostics were done upon inclusion and additional diagnostics on clinical indication. CRP, PCT, viral multiplex PCR on nasopharyngeal swabs and bacterial- and malaria PCR were batch-tested retrospectively. Diagnostic classification was done retrospectively using all available data except IMS, CRP and PCT results. 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Its high NPV for bacteremia has the potential to improve antibiotic dispensing practices in healthcare facilities with hematology analyzers. Future studies are needed to evaluate whether IMS, combined with malaria diagnostics, may be used to rationalize antimicrobial prescription in malaria endemic areas. 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Kaboré, Berenger ; Bognini, Joel ; Diallo, Salou ; Lompo, Palpouguini ; Kam, Basile ; Herssens, Natacha ; van Opzeeland, Fred ; van der Gaast-de Jongh, Christa E ; Langereis, Jeroen D ; de Jonge, Marien I ; Rahamat-Langendoen, Janette ; Bousema, Teun ; Wertheim, Heiman ; Sauerwein, Robert W ; Tinto, Halidou ; Jacobs, Jan ; de Mast, Quirijn ; van der Ven, Andre J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-c97545583368237e8cd3ade71f3b4711a267bc3cbeebe32128d57266805e1f933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Anaemia</topic><topic>Anemia</topic><topic>Antibiotics</topic><topic>Bacteremia</topic><topic>Bacteria</topic><topic>Bacterial infections</topic><topic>Biology and Life Sciences</topic><topic>Blood</topic><topic>Blood cells</topic><topic>Blood tests</topic><topic>Cell differentiation</topic><topic>Convulsions</topic><topic>Cytodiagnosis</topic><topic>Diagnosis</topic><topic>Differentiation (biology)</topic><topic>Erythrocytes</topic><topic>Etiology</topic><topic>Fever</topic><topic>Haematology</topic><topic>Health</topic><topic>Hematology</topic><topic>Hemoglobin</topic><topic>Human diseases</topic><topic>Illnesses</topic><topic>Infections</topic><topic>Inflammation</topic><topic>Inflammatory response</topic><topic>Jaundice</topic><topic>Malaria</topic><topic>Malnutrition</topic><topic>Medical examination</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Pathogens</topic><topic>Prototypes</topic><topic>Red blood cells</topic><topic>Software</topic><topic>Symptoms</topic><topic>Tropical diseases</topic><topic>Vector-borne diseases</topic><topic>Viral infections</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Post, Annelies</creatorcontrib><creatorcontrib>Kaboré, Berenger</creatorcontrib><creatorcontrib>Bognini, Joel</creatorcontrib><creatorcontrib>Diallo, Salou</creatorcontrib><creatorcontrib>Lompo, Palpouguini</creatorcontrib><creatorcontrib>Kam, Basile</creatorcontrib><creatorcontrib>Herssens, Natacha</creatorcontrib><creatorcontrib>van Opzeeland, Fred</creatorcontrib><creatorcontrib>van der Gaast-de Jongh, Christa E</creatorcontrib><creatorcontrib>Langereis, Jeroen D</creatorcontrib><creatorcontrib>de Jonge, Marien I</creatorcontrib><creatorcontrib>Rahamat-Langendoen, Janette</creatorcontrib><creatorcontrib>Bousema, Teun</creatorcontrib><creatorcontrib>Wertheim, Heiman</creatorcontrib><creatorcontrib>Sauerwein, Robert W</creatorcontrib><creatorcontrib>Tinto, Halidou</creatorcontrib><creatorcontrib>Jacobs, Jan</creatorcontrib><creatorcontrib>de Mast, Quirijn</creatorcontrib><creatorcontrib>van der Ven, Andre J</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Health &amp; 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Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PLoS neglected tropical diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Post, Annelies</au><au>Kaboré, Berenger</au><au>Bognini, Joel</au><au>Diallo, Salou</au><au>Lompo, Palpouguini</au><au>Kam, Basile</au><au>Herssens, Natacha</au><au>van Opzeeland, Fred</au><au>van der Gaast-de Jongh, Christa E</au><au>Langereis, Jeroen D</au><au>de Jonge, Marien I</au><au>Rahamat-Langendoen, Janette</au><au>Bousema, Teun</au><au>Wertheim, Heiman</au><au>Sauerwein, Robert W</au><au>Tinto, Halidou</au><au>Jacobs, Jan</au><au>de Mast, Quirijn</au><au>van der Ven, Andre J</au><au>Chan, Yoke Fun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Infection Manager System (IMS) as a new hemocytometry-based bacteremia detection tool: A diagnostic accuracy study in a malaria-endemic area of Burkina Faso</atitle><jtitle>PLoS neglected tropical diseases</jtitle><addtitle>PLoS Negl Trop Dis</addtitle><date>2021-03</date><risdate>2021</risdate><volume>15</volume><issue>3</issue><spage>e0009187</spage><epage>e0009187</epage><pages>e0009187-e0009187</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>New hemocytometric parameters can be used to differentiate causes of acute febrile illness (AFI). We evaluated a software algorithm-Infection Manager System (IMS)-which uses hemocytometric data generated by Sysmex hematology analyzers, for its accuracy to detect bacteremia in AFI patients with and without malaria in Burkina Faso. Secondary aims included comparing the accuracy of IMS with C-reactive protein (CRP) and procalcitonin (PCT). In a prospective observational study, patients of ≥ three-month-old (range 3 months- 90 years) presenting with AFI were enrolled. IMS, blood culture and malaria diagnostics were done upon inclusion and additional diagnostics on clinical indication. CRP, PCT, viral multiplex PCR on nasopharyngeal swabs and bacterial- and malaria PCR were batch-tested retrospectively. Diagnostic classification was done retrospectively using all available data except IMS, CRP and PCT results. A diagnosis was affirmed in 549/914 (60.1%) patients and included malaria (n = 191) bacteremia (n = 69), viral infections (n = 145), and malaria-bacteremia co-infections (n = 47). The overall sensitivity, specificity, and negative predictive value (NPV) of IMS for detection of bacteremia in patients of ≥ 5 years were 97.0% (95% CI: 89.8-99.6), 68.2% (95% CI: 55.6-79.1) and 95.7% (95% CI: 85.5-99.5) respectively, compared to 93.9% (95% CI: 85.2-98.3), 39.4% (95% CI: 27.6-52.2), and 86.7% (95% CI: 69.3-96.2) for CRP at ≥20mg/L. The sensitivity, specificity and NPV of PCT at 0.5 ng/ml were lower at respectively 72.7% (95% CI: 60.4-83.0), 50.0% (95% CI: 37.4-62.6) and 64.7% (95% CI: 50.1-77.6) The diagnostic accuracy of IMS was lower among malaria cases and patients &lt;5 years but remained equal to- or higher than the accuracy of CRP. IMS is a new diagnostic tool to differentiate causes of AFI. Its high NPV for bacteremia has the potential to improve antibiotic dispensing practices in healthcare facilities with hematology analyzers. Future studies are needed to evaluate whether IMS, combined with malaria diagnostics, may be used to rationalize antimicrobial prescription in malaria endemic areas. ClinicalTrials.gov (NCT02669823) https://clinicaltrials.gov/ct2/show/NCT02669823.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33647009</pmid><doi>10.1371/journal.pntd.0009187</doi><orcidid>https://orcid.org/0000-0003-2812-5895</orcidid><orcidid>https://orcid.org/0000-0002-8465-2895</orcidid><orcidid>https://orcid.org/0000-0003-2666-094X</orcidid><orcidid>https://orcid.org/0000-0002-9231-3084</orcidid><orcidid>https://orcid.org/0000-0003-1833-3391</orcidid><orcidid>https://orcid.org/0000-0002-7547-2892</orcidid><orcidid>https://orcid.org/0000-0002-3719-7033</orcidid><orcidid>https://orcid.org/0000-0002-0472-3586</orcidid><orcidid>https://orcid.org/0000-0002-0471-8250</orcidid><orcidid>https://orcid.org/0000-0003-0120-7962</orcidid><orcidid>https://orcid.org/0000-0001-5317-3202</orcidid><orcidid>https://orcid.org/0000-0002-3163-7202</orcidid><orcidid>https://orcid.org/0000-0001-6056-157X</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1935-2735
ispartof PLoS neglected tropical diseases, 2021-03, Vol.15 (3), p.e0009187-e0009187
issn 1935-2735
1935-2727
1935-2735
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source PubMed Central (Open Access); Publicly Available Content Database
subjects Accuracy
Algorithms
Anaemia
Anemia
Antibiotics
Bacteremia
Bacteria
Bacterial infections
Biology and Life Sciences
Blood
Blood cells
Blood tests
Cell differentiation
Convulsions
Cytodiagnosis
Diagnosis
Differentiation (biology)
Erythrocytes
Etiology
Fever
Haematology
Health
Hematology
Hemoglobin
Human diseases
Illnesses
Infections
Inflammation
Inflammatory response
Jaundice
Malaria
Malnutrition
Medical examination
Medicine and Health Sciences
Methods
Pathogens
Prototypes
Red blood cells
Software
Symptoms
Tropical diseases
Vector-borne diseases
Viral infections
title Infection Manager System (IMS) as a new hemocytometry-based bacteremia detection tool: A diagnostic accuracy study in a malaria-endemic area of Burkina Faso
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