<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>47(1)</volume><submitter>Fan C</submitter><pubmed_abstract>Our study aimed at assessing the impact of β-blocker treatment on the mortality of patients with sepsis-associated acute kidney injury (SA-AKI). Clinical data for patients with SA-AKI were collected from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Baseline characteristics between β-blocker users and non-users were adjusted through propensity score matching (PSM). Kaplan-Meier curves and the Cox proportional hazards model were employed to analyze the relationship between β-blocker use and mortality, with the primary outcome being 30-day mortality. This study included data from 8,620 patients, with 3,159 receiving treatment and 5,461 not. After PSM, 2,896 matched pairs were created. The analysis revealed that 30-day (hazard ratio [HR]: 0.58, 95% CI: 0.52-0.65; &lt;i>p&lt;/</pubmed_abstract><journal>Renal failure</journal><pagination>2562447</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12599005</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Impact of β-blockers on mortality in sepsis-associated acute kidney injury: a retrospective propensity score-matched analysis.</pubmed_title><pmcid>PMC12599005</pmcid><pubmed_authors>Duan J</pubmed_authors><pubmed_authors>Guo W</pubmed_authors><pubmed_authors>Wang H</pubmed_authors><pubmed_authors>Yan Y</pubmed_authors><pubmed_authors>Zheng G</pubmed_authors><pubmed_authors>Fan C</pubmed_authors><pubmed_authors>Yang F</pubmed_authors><pubmed_authors>Wang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Impact of β-blockers on mortality in sepsis-associated acute kidney injury: a retrospective propensity score-matched analysis.</name><description>Our study aimed at assessing the impact of β-blocker treatment on the mortality of patients with sepsis-associated acute kidney injury (SA-AKI). Clinical data for patients with SA-AKI were collected from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Baseline characteristics between β-blocker users and non-users were adjusted through propensity score matching (PSM). Kaplan-Meier curves and the Cox proportional hazards model were employed to analyze the relationship between β-blocker use and mortality, with the primary outcome being 30-day mortality. This study included data from 8,620 patients, with 3,159 receiving treatment and 5,461 not. After PSM, 2,896 matched pairs were created. The analysis revealed that 30-day (hazard ratio [HR]: 0.58, 95% CI: 0.52-0.65; &lt;i>p&lt;/</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-05T12:25:59.393Z</modification><creation>2026-05-16T03:11:53.512Z</creation></dates><accession>S-EPMC12599005</accession><cross_references><pubmed>41022073</pubmed><doi>10.1080/0886022X.2025.2562447</doi></cross_references></HashMap>