Evidence map›Paper›PMID 38178568›Full record

ArticleRenal failure2024

Effects of 24-hour urine-output trajectories on the risk of acute kidney injury in critically ill patients with cirrhosis: a retrospective cohort analysis.

Jia Wang, Dongdong Niu, Xiaolin Li, Yumei Zhao, Enlin Ye, Jiasheng Huang, Suru Yue, Xuefei Hou, Jiayuan Wu

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Impact of 24-hour urine output trajectories on intra-abdominal hypertension risk in acute pancreatitis patients: Insights from MIMIC-IV database.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jia WangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0002-8367-7273
Dongdong NiuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xiaolin LiClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yumei ZhaoClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Enlin YeClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jiasheng HuangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Suru YueClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0002-3198-5952
Xuefei HouClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0001-8380-5055
Jiayuan WuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0002-4626-2773
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is one of the most common complications for critically ill patients with cirrhosis, but it has remained unclear whether urine output fluctuations are associated with the risk of AKI in such patients. Thus, we explored the influence of 24-h urine-output trajectory on AKI in patients with cirrhosis through latent category trajectory modeling. MATERIALS AND

methodsThis retrospective cohort study examined patients with cirrhosis using the MIMIC-IV database. Changes in the trajectories of urine output within 24 h after admission to the intensive care unit (ICU) were categorized using latent category trajectory modeling. The outcome examined was the occurrence of AKI during ICU hospitalization. The risk of AKI in patients with different trajectory classes was explored using the cumulative incidence function (CIF) and the Fine-Gray model with the sub-distribution hazard ratio (SHR) and the 95% confidence interval (CI) as size effects.

resultsThe study included 3,562 critically ill patients with cirrhosis, of which 2,467 (69.26%) developed AKI during ICU hospitalization. The 24-h urine-output trajectories were split into five classes (Classes 1-5). The CIF curves demonstrated that patients with continuously low urine output (Class 2), a rapid decline in urine output after initially high levels (Class 3), and urine output that decreased slowly and then stabilized at a lower level (Class 4) were at higher risk for AKI than those with consistently moderate urine output (Class 1). After fully adjusting for various confounders, Classes 2, 3, and 4 were associated with a higher risk of AKI compared with Class 1, and the respective SHRs (95% CIs) were 2.56 (1.87-3.51), 1.86 (1.34-2.59), and 1.83 1.29-2.59).

conclusionsThe 24-h urine-output trajectory is significantly associated with the risk of AKI in critically ill patients with cirrhosis. More attention should be paid to the dynamic nature of urine-output changes over time, which may help guide early intervention and improve patients' prognoses.

Indexed as

Acute Kidney InjuryCritical IllnessCohort StudiesHumansLiver CirrhosisRetrospective StudiesAcute kidney injurycirrhosislatent category trajectory modelingurine output

Identifiers

PMID38178568
PMCPMC10773636
OpenAlexW4390609655

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.