{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yeh CY"],"funding":["Ministry of Science and Technology, Taiwan"],"pagination":["e0007817"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6894745"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(12)"],"pubmed_abstract":["<h4>Background</h4>Hepatic dysfunction and coagulopathy are common in acute dengue illness. We analyzed the trajectories of the above parameters in the survivors and fatal patients in the outbreak in Tainan, 2015.<h4>Methods</h4>A retrospective study was conducted using data from a tertiary hospital between January and December 2015. Multilevel modeling (MLM) was used to identify the changes in aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (aPTT), and platelet counts from Day 0 to Day 7 of the onset of dengue infection. The machine-learning algorithm was used by purity measure assumption to calculate the accuracy of serum transaminases and coagulation variables to discriminate between the fatal and survival groups.<h4>Results</h4>There were 4"],"journal":["PLoS neglected tropical diseases"],"pubmed_title":["Trajectories of hepatic and coagulation dysfunctions related to a rapidly fatal outcome among hospitalized patients with dengue fever in Tainan, 2015."],"pmcid":["PMC6894745"],"funding_grant_id":["MOST 107-2634-F-006-001"],"pubmed_authors":["Chuang KT","Yeh CY","Ko NY","Chen PL","Lu BZ","Shu YC","Ko WC","Liang WJ"],"additional_accession":[]},"is_claimable":false,"name":"Trajectories of hepatic and coagulation dysfunctions related to a rapidly fatal outcome among hospitalized patients with dengue fever in Tainan, 2015.","description":"<h4>Background</h4>Hepatic dysfunction and coagulopathy are common in acute dengue illness. We analyzed the trajectories of the above parameters in the survivors and fatal patients in the outbreak in Tainan, 2015.<h4>Methods</h4>A retrospective study was conducted using data from a tertiary hospital between January and December 2015. Multilevel modeling (MLM) was used to identify the changes in aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (aPTT), and platelet counts from Day 0 to Day 7 of the onset of dengue infection. The machine-learning algorithm was used by purity measure assumption to calculate the accuracy of serum transaminases and coagulation variables to discriminate between the fatal and survival groups.<h4>Results</h4>There were 4","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Dec","modification":"2025-05-29T16:07:32.273Z","creation":"2025-05-29T16:07:32.273Z"},"accession":"S-EPMC6894745","cross_references":{"pubmed":["31805088"],"doi":["10.1371/journal.pntd.0007817"]}}