Evidence map›Paper›PMID 42067753›Full record

ArticleBMC gastroenterology2026

Hypotension among patients with liver failure treated by artificial liver support system: risk factors and coping strategies.

Junjie Liu, Xiufen Liu, Muqingzi Wang, Shan Wei, Deliang Hu, Yongxia Gao

Abstract read
In one paragraph

Article in BMC gastroenterology, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junjie Liu *Department of Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu, China.
Xiufen Liu *Department of Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu, China.
Muqingzi WangDepartment of Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu, China.
Shan WeiDepartment of Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu, China.
Deliang HuDepartment of Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu, China. dezhong46521464@163.com.
Yongxia GaoDepartment of Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu, China. wwsm77@sina.com.

Funding

Beijing iGandan Foundation iGandanF-1082025-RGG007
6 · The paper itself

Abstract

backgroundArtificial Liver Support System (ALSS) is a core therapeutic modality for liver failure, but hypotension is a common and severe complication during treatment, which may lead to treatment interruption and poor prognosis. This study aims to explore the independent risk factors of hypotension complicating ALSS treatment for liver failure, construct a predictive model, and provide evidence for clinical coping strategies.

methodsA retrospective cohort study was conducted. According to the occurrence of hypotension during treatment, they were divided into the hypotension group and the non-hypotension group. Clinical data of the two groups were collected and analyzed.

results216 patients with liver failure who received ALSS treatment were included. Multivariate logistic regression analysis confirmed that age ≥ 65 years (OR = 2.379, 95%CI:1.568 ~ 3.605), BMI < 19 kg/m² (OR = 2.782, 95%CI:1.825 ~ 4.226), ALSS treatment duration > 4 h (OR = 2.598, 95%CI:1.689 ~ 3.987), hypokalemia (OR = 2.193, 95%CI:1.452 ~ 3.298) and hypoalbuminemia (OR = 3.099, 95%CI:2.015 ~ 4.756) were independent risk factors for hypotension (all P < 0.001). The constructed scoring predictive model had excellent discriminative efficacy with an AUC of 0.888 (95%CI:0.840 ~ 0.936), and the highest Youden's index (0.642) was obtained when the scoring threshold was 6.5 points.

conclusionThe simplified scoring model exhibits favorable predictive efficacy, enabling early identification and risk stratification of high-risk patients. Implementation of multidimensional prevention strategies-including precision treatment optimization, individualized nursing interventions, and integrated process management-may reduce the incidence of hypotension and improve treatment safety.

Indexed as

HypotensionLiver, ArtificialLiver FailurePredictive Learning ModelsAgedFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsCareClinicalFailureHypotensionLiverNursing

Identifiers

PMID42067753
PMCPMC13281462

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LicenceCC BY-NC-ND
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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.