An Observational Study of Sepsis in Takeo Province Cambodia: An in-depth examination of pathogens causing severe infections

The world's most consequential pathogens occur in regions with the fewest diagnostic resources, leaving the true burden of these diseases largely under-represented. During a prospective observational study of sepsis in Takeo Province Cambodia, we enrolled 200 patients over an 18-month period. B...

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Veröffentlicht in:PLoS neglected tropical diseases 2020-08, Vol.14 (8), p.e0008381-e0008381
Hauptverfasser: Rozo, Michelle, Schully, Kevin L, Philipson, Casandra, Fitkariwala, Amitha, Nhim, Dararith, Som, Tin, Sieng, Darith, Huot, Bora, Dul, Sokha, Gregory, Michael J, Heang, Vireak, Vaughn, Andrew, Vantha, Te, Prouty, Angela M, Chao, Chien-Chung, Zhang, Zhiwen, Belinskaya, Tatyana, Voegtly, Logan J, Cer, Regina Z, Bishop-Lilly, Kimberly A, Duplessis, Chris, Lawler, James V, Clark, Danielle V
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Sprache:eng
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Zusammenfassung:The world's most consequential pathogens occur in regions with the fewest diagnostic resources, leaving the true burden of these diseases largely under-represented. During a prospective observational study of sepsis in Takeo Province Cambodia, we enrolled 200 patients over an 18-month period. By coupling traditional diagnostic methods such as culture, serology, and PCR to Next Generation Sequencing (NGS) and advanced statistical analyses, we successfully identified a pathogenic cause in 46.5% of our cohort. In all, we detected 25 infectious agents in 93 patients, including severe threat pathogens such as Burkholderia pseudomallei and viral pathogens such as Dengue virus. Approximately half of our cohort remained undiagnosed; however, an independent panel of clinical adjudicators determined that 81% of those patients had infectious causes of their hospitalization, further underscoring the difficulty of diagnosing severe infections in resource-limited settings. We garnered greater insight as to the clinical features of severe infection in Cambodia through analysis of a robust set of clinical data.
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0008381