<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lin CY</submitter><funding>Chang Gung Memorial Hospital</funding><pagination>665-674</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9486242</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>45(4)</volume><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>Biomedical journal</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.</pubmed_title><pmcid>PMC9486242</pmcid><funding_grant_id>CMRP8E0731</funding_grant_id><funding_grant_id>CMRPG8J0421</funding_grant_id><funding_grant_id>CMRPG8B1073</funding_grant_id><funding_grant_id>CMRPG8B1063</funding_grant_id><funding_grant_id>CMRPG8J0422</funding_grant_id><funding_grant_id>CMRPG8H1171</funding_grant_id><funding_grant_id>CMRPG8B1083</funding_grant_id><pubmed_authors>Chen YC</pubmed_authors><pubmed_authors>Fang WF</pubmed_authors><pubmed_authors>Wang YH</pubmed_authors><pubmed_authors>Hung KY</pubmed_authors><pubmed_authors>Huang KT</pubmed_authors><pubmed_authors>Lin CY</pubmed_authors><pubmed_authors>Chang YC</pubmed_authors><pubmed_authors>Lin MC</pubmed_authors><pubmed_authors>Fang YT</pubmed_authors><pubmed_authors>Chen HC</pubmed_authors><pubmed_authors>Chang YT</pubmed_authors><pubmed_authors>Chang HC</pubmed_authors><pubmed_authors>Wang CC</pubmed_authors><pubmed_authors>Chen YM</pubmed_authors></additional><is_claimable>false</is_claimable><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.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-18T20:57:04.701Z</modification><creation>2025-04-07T08:56:16.498Z</creation></dates><accession>S-EPMC9486242</accession><cross_references><pubmed>34482015</pubmed><doi>10.1016/j.bj.2021.08.006</doi></cross_references></HashMap>