Evidence map›Paper›PMID 40676464›Full record

ArticleInternational urology and nephrology2026

Impact of base excess on mortality in patients with sepsis-associated acute kidney injury: insights from US Intensive Care Unit Cohort.

Lin Liu, Hu Liu, Yang Chen, Ling-Long Wang, Yan-Bo Zhao, You-En Zhang

Abstract read
In one paragraph

Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lin Liu *Department of Emergency and Critical Care Center, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Hu Liu *Department of Emergency and Critical Care Center, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Yang ChenLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, L7 8TX, UK.
Ling-Long WangRenmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Yan-Bo ZhaoDepartment of Emergency and Critical Care Center, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. zybsy123@163.com.
You-En ZhangInstitute of Clinical Medicine and Department of Cardiology, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. zye112@hotmail.com.

Funding

National Nature Science Foundation of China No. 81500237 and 81701891Shiyan City Guiding Research Project No. 24Y115Special Foundation for Knowledge Innovation of Hubei Province (Nature Science Foundation) No. 2017CFB563
6 · The paper itself

Abstract

backgroundSepsis often leads to acute organ dysfunction and significantly increases the risk of mortality, frequently occurring alongside acute kidney injury, termed sepsis-associated acute kidney injury (Sa-AKI). This study aimed to assess whether base excess (BE) is associated with mortality in Sa-AKI patients within the intensive care unit (ICU).

methodsData were extracted from a US ICU cohort. BE served as the exposure variable, and 30-day and 90-day ICU all-cause mortality were the outcomes of interest. Multivariate Cox proportional hazards models were performed to assess the associations of BE and mortality outcomes of interest among Sa-AKI patients. Furthermore, multivariate restricted cubic spline (RCS) analyses were used to investigate potential nonlinear relationships between BE and outcomes of interest.

result10,812 Sa-AKI patients were included, RCS analyses demonstrated a non-linear relationship between BE and the risk of mortality for both 30-day and 90-day ICU mortality. Multivariate Cox proportional hazards models indicated that higher BE groups had a decreased risk of 30-day (Q3: HR 0.79, 95%CI 0.69-0.91; Q4: HR 0.82, 95%CI 0.73-0.93), 90-day ICU all-cause mortality (Q3: HR 0.81, 95%CI 0.72-0.91; Q4: HR 0.84, 95%CI 0.75-0.94) compared with the lowest BE group. Based on RCS analysis, patients were regrouped by BE values (Group 1: ≤ - 4 mmol/L, Group 2: - 4 to 7 mmol/L, Group 3: ≥ 7 mmol/L) for Kaplan-Meier survival analysis. Group 2 had the lowest 30-day and 90-day ICU mortality rate (log-rank P < 0.0001).

conclusionIn ICU patients with Sa-AKI, there is a non-linear relationship between BE levels and 30-day and 90-day all-cause mortality. A moderate BE range (- 4 to 7 mmol/L) is associated with a protective effect, whereas both excessively high and low BE levels increase mortality risk.

Indexed as

Acute Kidney InjurySepsisAgedCohort StudiesFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesUnited StatesAcute kidney injuryBase excessMIMIC-IVMortality: intensive care unitSepsis

Identifiers

PMID40676464
PMCPMC12783227

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.