Evidence map›Paper›PMID 39904760›Full record

ArticleRenal failure2025

Renal impairment and in-hospital adverse renal events in critically ill patients assessed by age-adapted estimated glomerular filtration rate criteria.

Chong Zhang, Weiru Liang, Meng Ning, Bin Su, Tingting Guo, Kun Hu, Wei Su, Yi Chen, Wenjin Peng, Yingwu Liu

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Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chong ZhangThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Weiru LiangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Meng NingThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Bin SuThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Tingting GuoThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Kun HuThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Wei SuThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Yi ChenThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Wenjin PengThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Yingwu LiuThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImpaired renal function (IRF) is associated with an elevated risk of major adverse renal events (MARE). However, the relationship between age-adapted estimated glomerular filtration rate (eGFR) criteria and in-hospital MARE has not been extensively studied in critically ill patients. Furthermore, the impact of eGFR trajectory changes on in-hospital MARE in this patient population remains underexplored.

methodsIn this study, we analyzed data from 7,423 critically ill patients using version 2.2 of the Medical Information Mart for Intensive Care IV database. Based on the age-adapted eGFR criteria, renal function status was classified as impaired renal function (IRF), subclinical impairment of renal function (SIRF), and normal renal function (NRF).

resultsThere were 2,438 patients (32.8%) of in-hospital MARE. The incidence of MARE and their individual endpoint components was higher in patients with SIRF and IRF than in patients with NRF. Group-based trajectory modeling revealed that, compared with patients with other renal function status, patients with SIRF demonstrated the most significant decline in eGFR as well as the highest risk of MARE based on the results of the low-level-to-decline trajectory. Additionally, a trend toward an increased risk of MARE was observed in patients with SIRF and IRF, particularly among younger patients, when compared with those with NRF.

conclusionsCritically ill patients with SIRF and IRF had an increased risk of in-hospital MARE. Patients with SIRF experienced the most notable decline in renal function during hospitalization, with the highest risk of MARE noted in this trajectory group. In addition, a trend toward an increased risk of MARE was observed in younger patients. Consequently, active monitoring and timely intervention in younger patients are imperative.

Indexed as

Acute Kidney InjuryCritical IllnessGlomerular Filtration RateRenal InsufficiencyAdultAgedAged, 80 and overAge FactorsFemaleHumansIncidenceIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsCritically ill patientsgroup-based trajectory modelingimpaired renal functionmajor adverse renal eventssubclinical impairment of renal function

Identifiers

PMID39904760
PMCPMC11800333

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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 Socratic graph.