Evidence map›Paper›PMID 39150156›Full record

Observational studyEuropean stroke journal2025

Fluid excess on intensive care unit after mechanical thrombectomy after acute ischemic stroke is associated with unfavorable neurological and functional outcomes: An observational cohort study.

Maximilian Schell, Christina Mayer, Marcel Seungsu Woo, Hannes Leischner, Marlene Fischer, Jörn Grensemann, Stefan Kluge, Patrick Czorlich, Christian Gerloff, Jens Fiehler and 3 more

Abstract readObservational Study
In one paragraph

Observational study in European stroke journal, 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. Review
  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

13 authors.

Maximilian SchellDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-4631-7519
Christina MayerDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Marcel Seungsu WooDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Hannes LeischnerDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Marlene FischerDepartment of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jörn GrensemannDepartment of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Stefan KlugeDepartment of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Patrick CzorlichDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-0865-241X
Christian GerloffDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jens FiehlerDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-8533-7478
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Fabian FlottmannDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Nils SchweingruberDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEndovascular thrombectomy stands as a pivotal component in the standard care for patients experiencing acute ischemic stroke with large vessel occlusion. Subsequent care for patients often extends to a neurological intensive care unit. While fluid management is integral to intensive care, the association between early fluid balance and neurological and functional outcomes post-thrombectomy has not yet been thoroughly investigated.

methodsIn a retrospective analysis of an observational, single-center study spanning from 2015 to 2021 at the University Medical Center Hamburg-Eppendorf, Germany, we enrolled stroke patients who underwent thrombectomy and received subsequent treatment in the ICU. Unfavorable functional and neurological outcome was defined as a mRS > 2 on day 90 after admission (mRS d90) or NIHSS > 5 at discharge, respectively. A multivariate regression model, adjusting for confounders, utilized the average fluid balance in the first 5 days to predict outcomes. Patients were dichotomized by their average fluid balance (>1 L vs <1 L) within the first 5 days, and a multivariate mRS d90 shift analysis was conducted after adjusting for covariates.

resultsBetween 2015 and 2021, 1252 patients underwent thrombectomy, and 553 patients met the inclusion criteria (299 women [54%]). Unfavorable functional outcome was significantly associated with a higher daily average fluid balance in the first 5 days in the ICU (mRS d90 ⩽ 2: 0.3 ± 0.5 L, mRS d90 > 2: 0.7 ± 0.7 L, DISCUSSION: Fluid retention in post-thrombectomy stroke patients in the ICU is associated with poorer functional and neurological outcomes. Consequently, fluid retention emerges as an additional potential predictor for post-intervention stroke outcomes. Our findings provide an initial indication that preventing excessive fluid retention in stroke patients after endovascular thrombectomy could be beneficial for both functional and neurological recovery. Therefore, fluid retention might be an element to consider in optimizing fluid management for stroke patients.

Indexed as

Brain IschemiaIntensive Care UnitsIschemic StrokeThrombectomyWater-Electrolyte BalanceAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment Outcomefluid balancefluid managementintensive care unitStrokethrombectomy

Identifiers

PMID39150156
PMCPMC11569545

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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.