{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lin CY"],"funding":["Chang Gung Memorial Hospital"],"pagination":["665-674"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9486242"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["45(4)"],"pubmed_abstract":["<h4>Background</h4>Sepsis-associated acute kidney injury (AKI) often worsens with the deterioration of a patient's condition. Therefore, we hypothesized that monitoring AKI dynamically from day 1 to day 3 was potential to predict hospital mortality. Specifically, we explored whether monitoring AKI dynamically in the intensive care unit (ICU) could be a sepsis phenotype predictive of mortality. A new classification was established based on the change in the AKI stage from admission day 1 and day 3. We compared the hospital mortality, cytokines, and immune response pattern between each group.<h4>Methods</h4>We retrospectively enrolled 523 patients with sepsis, and we calculated the AKI stages on day 1 and day 3 admission to ICUs. Among these 523 people, 388 of them were assigned to normal, i"],"journal":["Biomedical journal"],"pubmed_title":["Dynamic monitoring of kidney injury status over 3 days in the intensive care unit as a sepsis phenotype associated with hospital mortality and hyperinflammation."],"pmcid":["PMC9486242"],"funding_grant_id":["CMRP8E0731","CMRPG8J0421","CMRPG8B1073","CMRPG8B1063","CMRPG8J0422","CMRPG8H1171","CMRPG8B1083"],"pubmed_authors":["Chen YC","Fang WF","Wang YH","Hung KY","Huang KT","Lin CY","Chang YC","Lin MC","Fang YT","Chen HC","Chang YT","Chang HC","Wang CC","Chen YM"],"additional_accession":[]},"is_claimable":false,"name":"Dynamic monitoring of kidney injury status over 3 days in the intensive care unit as a sepsis phenotype associated with hospital mortality and hyperinflammation.","description":"<h4>Background</h4>Sepsis-associated acute kidney injury (AKI) often worsens with the deterioration of a patient's condition. Therefore, we hypothesized that monitoring AKI dynamically from day 1 to day 3 was potential to predict hospital mortality. Specifically, we explored whether monitoring AKI dynamically in the intensive care unit (ICU) could be a sepsis phenotype predictive of mortality. A new classification was established based on the change in the AKI stage from admission day 1 and day 3. We compared the hospital mortality, cytokines, and immune response pattern between each group.<h4>Methods</h4>We retrospectively enrolled 523 patients with sepsis, and we calculated the AKI stages on day 1 and day 3 admission to ICUs. Among these 523 people, 388 of them were assigned to normal, i","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-18T20:57:04.701Z","creation":"2025-04-07T08:56:16.498Z"},"accession":"S-EPMC9486242","cross_references":{"pubmed":["34482015"],"doi":["10.1016/j.bj.2021.08.006"]}}