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| http://dx.doi.org/10.1007/s40261-020-00998-0 | DOI Listing |
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Background: Sepsis is a global health problem with high morbidity and mortality. Low- and middle-income countries have a higher incidence and poorer outcome with sepsis. Large epidemiological studies in sepsis using Sepsis-3 criteria, addressing the process of care and deriving predictors of mortality are scarce in India.
View Article and Find Full Text PDFA decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography.
Jpn J Radiol
November 2024
Department of Radiology, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-Machi, Yufu, Oita, 879-5593, Japan.
Purpose: To determine whether decision trees are useful for predicting organisms that cause community-acquired pneumonia (CAP).
Materials And Methods: We developed a decision tree for predicting the organisms that cause CAP based on previously reported characteristic computed tomography findings. Sixteen readers (two student doctors, six residents, and eight radiologists) separately diagnosed 68 randomly selected cases of CAP using chest computed tomography.
Corrigendum: Distribution characteristics of human herpes viruses in the lower respiratory tract and their impact on 30-day mortality in community-acquired pneumonia patients.
Front Cell Infect Microbiol
September 2024
Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
[This corrects the article DOI: 10.3389/fcimb.2024.
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