Evidence map›Paper›PMID 41547945›Full record

ArticleScientific reports2026

The impact of urine output trajectory on clinical outcomes in female patients with genitourinary infections in the intensive care unit.

Wei-Hong Chen, Jing Xu, Ling-Tao Zheng, Hui-Jie You, Yu-Min Ke

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Observational
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

5 authors.

Wei-Hong ChenDepartment of Gynaecology and Obstetrics, the Second Affiliated Hospital of Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Jing XuDepartment of Gynaecology and Obstetrics, the Second Affiliated Hospital of Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Ling-Tao ZhengDepartment of Gynaecology and Obstetrics, the Second Affiliated Hospital of Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Hui-Jie YouDepartment of Gynaecology and Obstetrics, the Second Affiliated Hospital of Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Yu-Min KeDepartment of Gynaecology and Obstetrics, the Second Affiliated Hospital of Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China. 398031313@qq.com.

Funding

Science and Technology Project of Quan Zhou 2025QZNG009the General Project of Qihang Fund of Fujian Medical University 2024QH1120
6 · The paper itself

Abstract

Genitourinary infections are common in female intensive care unit patients and are associated with acute kidney injury and sepsis, often becoming life-threatening. Although urine volume correlates with these adverse outcomes, the prognostic value of dynamic urine output trajectories remains unclear. This study investigates the relationship between early urine output trajectories and clinical outcomes in female with genitourinary infections. A retrospective cohort of 1289 patients were analyzed. Latent class growth modeling identified distinct urine output trajectories in the first 3 days after intensive care unit admission. The primary endpoint was 28-day mortality, and the secondary outcome was the incidence of acute kidney injury. Four trajectory classes were identified: Class 1-persistently low (65.7%), Class 2-high-to-low (13.7%), Class 3-persistently high (4.0%), and Class 4-low-to-high (16.7%). In multivariable analysis, compared to Class 4, the 28-day mortality risk showed a graded increase with hazard ratio of 4.329 for Class 1, 3.477 for Class 2, and 2.081 for Class 3. Additionally, Class 1 was associated with a significantly higher incidence of acute kidney injury compared to Class 4. The trajectory of urine output changes in female patients with genitourinary infections is a potential variable in predicting mortality and acute kidney injury outcomes.

Indexed as

Acute Kidney InjuryUrinary Tract InfectionsAgedFemaleHumansIntensive Care UnitsMiddle AgedPrognosisRetrospective StudiesAcute kidney injuryGenitourinary infectionsMortalityTrajectoryUrine output

Identifiers

PMID41547945
PMCPMC12890927

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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.