Evidence map›Paper›PMID 39922586›Full record

ArticleBMJ open2025

Fluid balance and clinical outcomes in patients with aortic dissection: a retrospective case-control study based on ICU databases.

Jiahao Lei, Zhuojing Zhang, Yixuan Li, Zhaoyu Wu, Hongji Pu, Zhijue Xu, Xinrui Yang, Ruihua Wang, Peng Qiu, Tao Chen and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. When does the "third fluid space" open?Pflugers Archiv : European journal of physiology · 2025
    Article
  3. Article
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

11 authors.

Jiahao Lei *Department of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Zhuojing Zhang *Department of Economics, University of Waterloo, Waterloo, Ontario, Canada.
Yixuan Li *Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada.
Zhaoyu Wu *Department of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Hongji PuDepartment of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Zhijue XuDepartment of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Xinrui YangDepartment of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Ruihua WangDepartment of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Peng QiuDepartment of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China luxinwu@shsmu.edu.cn t66chen@uwaterloo.ca hiiigh4@163.com.
Tao ChenDepartment of Economics, University of Waterloo, Waterloo, Ontario, Canada luxinwu@shsmu.edu.cn t66chen@uwaterloo.ca hiiigh4@163.com.
Xinwu LuDepartment of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, China luxinwu@shsmu.edu.cn t66chen@uwaterloo.ca hiiigh4@163.com.ORCID http://orcid.org/0000-0001-6503-5210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAortic dissection (AD) is a life-threatening condition that requires intensive care and management. This paper explores the role of fluid management in the clinical care of AD patients, which has been unclear despite the substantial existing research that has been conducted on the treatment of AD.

designA retrospective case-control study using data for AD patients from public databases.

settingTwo public intensive care unit (ICU) databases with hospital courses from the USA, Medical Information Mart for Intensive Care (MIMIC)-IV critical care dataset and the eICU Collaborative Research Database, with data from 2008 to 2019.

participantsA total of 751 adult AD patients with detailed fluid management records from two databases were included.

interventionsThe mean 24-hour intake and output were calculated by dividing the total amount of intake and output by the number of days in the ICU, respectively. The mean 24-hour fluid balance was generated by subtracting the output from the intake. OUTCOME MEASURES: The relationship between the mean 24-hour fluid management and all-cause in-hospital death was assessed through univariate and multivariable regression analyses.

resultsA positive correlation was found between mean 24-hour fluid intake and in-hospital mortality among AD patients (OR 1.029, 95% CI (1.018, 1.041), p<0.001), whereas a negative correlation was revealed between mean 24-hour fluid output and in-hospital mortality (OR 0.941, 95% CI (0.914, 0.968), p<0.001). A similar result was found for mean 24-hour fluid balance (OR 1.030, 95% CI (1.019, 1.042), p<0.001), and the cut-off was selected to be 5.12 dL (AUC=0.778, OR 3.066, 95% CI (1.634, 5.753), p<0.001).

conclusionsThis study stresses the importance of fluid balance in the clinical care of AD patients and provides new insights for optimising fluid management and monitoring strategies beyond the conventional focus on blood pressure and heart rate management.

Indexed as

Aortic AneurysmAortic DissectionFluid TherapyWater-Electrolyte BalanceAgedCase-Control StudiesDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesAdult intensive & critical careCardiovascular DiseaseCase-Control StudiesMortalityVASCULAR MEDICINE

Identifiers

PMID39922586
PMCPMC11808867

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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.