Evidence map›Paper›PMID 28682837›Full record

ArticleCritical care medicine2017

Closed-Loop- and Decision-Assist-Guided Fluid Therapy of Human Hemorrhage.

Gabriel Hundeshagen, George C Kramer, Nicole Ribeiro Marques, Michael G Salter, Aristides K Koutrouvelis, Husong Li, Daneshvari R Solanki, Alexander Indrikovs, Roger Seeton, Sheryl N Henkel and 1 more

Abstract read
In one paragraph

Article in Critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Gabriel Hundeshagen1Department of Surgery, University of Texas Medical Branch, Galveston, TX. 2Department of Hand, Plastic and Reconstructive Surgery, Burn Trauma Center, BG Trauma Center Ludwigshafen, University of Heidelberg, Germany. 3University of Heidelberg, Heidelberg, Germany. 4Department of Anesthesiology, University of Texas Medical Branch, Galveston, TX. 5Department of Pathology, University of Texas Medical Branch, Galveston, TX. 6Department of Pathology, Hofstra Northwell School of Medicine, Hempstead, NY.
George C Kramer
Nicole Ribeiro Marques
Michael G Salter
Aristides K Koutrouvelis
Husong Li
Daneshvari R Solanki
Alexander Indrikovs
Roger Seeton
Sheryl N Henkel
Michael P Kinsky
Heidelberg University · DEThe University of Texas Medical Branch at Galveston · US

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
UTMB Clinical and Translational Science AwardUL1TR000071 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R. · 2012 to 2014
$14.4M
NCATS NIH HHS UL1 TR000071NCATS NIH HHS UL1 TR001439
6 · The paper itself

Abstract

objectivesWe sought to evaluate the efficacy, efficiency, and physiologic consequences of automated, endpoint-directed resuscitation systems and compare them to formula-based bolus resuscitation.

designExperimental human hemorrhage and resuscitation.

settingClinical research laboratory. SUBJECTS: Healthy volunteers.

interventionsSubjects (n = 7) were subjected to hemorrhage and underwent a randomized fluid resuscitation scheme on separate visits 1) formula-based bolus resuscitation; 2) semiautonomous (decision assist) fluid administration; and 3) fully autonomous (closed loop) resuscitation. Hemodynamic variables, volume shifts, fluid balance, and cardiac function were monitored during hemorrhage and resuscitation. Treatment modalities were compared based on resuscitation efficacy and efficiency. MEASUREMENTS AND MAIN

resultsAll approaches achieved target blood pressure by 60 minutes. Following hemorrhage, the total amount of infused fluid (bolus resuscitation: 30 mL/kg, decision assist: 5.6 ± 3 mL/kg, closed loop: 4.2 ± 2 mL/kg; p < 0.001), plasma volume, extravascular volume (bolus resuscitation: 17 ± 4 mL/kg, decision assist: 3 ± 1 mL/kg, closed loop: -0.3 ± 0.3 mL/kg; p < 0.001), body weight, and urinary output remained stable under decision assist and closed loop and were significantly increased under bolus resuscitation. Mean arterial pressure initially decreased further under bolus resuscitation (-10 mm Hg; p < 0.001) and was lower under bolus resuscitation than closed loop at 20 minutes (bolus resuscitation: 57 ± 2 mm Hg, closed loop: 69 ± 4 mm Hg; p = 0.036). Colloid osmotic pressure (bolus resuscitation: 19.3 ± 2 mm Hg, decision assist, closed loop: 24 ± 0.4 mm Hg; p < 0.05) and hemoglobin concentration were significantly decreased after bolus fluid administration.

conclusionsWe define efficacy of decision-assist and closed-loop resuscitation in human hemorrhage. In comparison with formula-based bolus resuscitation, both semiautonomous and autonomous approaches were more efficient in goal-directed resuscitation of hemorrhage. They provide favorable conditions for the avoidance of over-resuscitation and its adverse clinical sequelae. Decision-assist and closed-loop resuscitation algorithms are promising technological solutions for constrained environments and areas of limited resources.

Indexed as

AlgorithmsDecision Support Systems, ClinicalBlood PressureBody WeightFluid TherapyHealthy VolunteersHemoglobinsHemorrhageHumansPlasma VolumeResuscitationUrineHemoglobins

Identifiers

PMID28682837
PMCPMC5600681
OpenAlexW2730416821

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.