Evidence map›Paper›PMID 38526148›Full record

ArticleShock (Augusta, Ga.)2024

MAN VERSUS MACHINE: PROVIDER DIRECTED VERSUS PRECISION AUTOMATED CRITICAL CARE MANAGEMENT IN A PORCINE MODEL OF DISTRIBUTIVE SHOCK.

Gloria D Sanin, Gabriel E Cambronero, Elizabeth C Wood, James W Patterson, Magan R Lane, Antonio C Renaldo, Bonnie E Laingen, Elaheh Rahbar, Jason Y Adams, Austin Johnson and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 4 institutions in 1 country.

Gloria D SaninDepartment of General Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Gabriel E CambroneroDepartment of General Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Elizabeth C WoodDepartment of General Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.ORCID 0009-0006-4550-7835
James W PattersonDepartment of Vascular and Endovascular Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Magan R LaneDepartment of Vascular and Endovascular Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Antonio C RenaldoDepartment of Biomedical Engineering, Wake Forest University School of Medicine, Winston Salem, North Carolina.
Bonnie E LaingenDepartment of General Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Elaheh RahbarDepartment of Biomedical Engineering, Wake Forest University School of Medicine, Winston Salem, North Carolina.
Jason Y AdamsDepartment of Pulmonary, Critical Care, and Sleep Medicine, University of California, Davis, California.
Austin JohnsonDepartment of Emergency Medicine, University of Utah School of Medicine, Salt Lake City, Utah.
Lucas P NeffDepartment of General Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Timothy K WilliamsDepartment of Vascular and Endovascular Surgery, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina.
Atrium Health Wake Forest Baptist · USWake Forest University · USUniversity of California, Davis · USUniversity of Utah · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Development of a Multi-scale closed loop model for hemorrhagic shock: a platform to assess REBOA performanceR01HL162633 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Elaheh Rahbar · 2022 to 2026
$3.2M
NHLBI NIH HHS R01 HL162633
6 · The paper itself

Abstract

abstractBackground: Critical care management of shock is a labor-intensive process. Precision Automated Critical Care Management (PACC-MAN) is an automated closed-loop system incorporating physiologic and hemodynamic inputs to deliver interventions while avoiding excessive fluid or vasopressor administration. To understand PACC-MAN efficacy, we compared PACC-MAN to provider-directed management (PDM). We hypothesized that PACC-MAN would achieve equivalent resuscitation outcomes to PDM while maintaining normotension with lower fluid and vasopressor requirements. Methods : Twelve swine underwent 30% controlled hemorrhage over 30 min, followed by 45 min of aortic occlusion to generate a vasoplegic shock state, transfusion to euvolemia, and randomization to PACC-MAN or PDM for 4.25 h. Primary outcomes were total crystalloid volume, vasopressor administration, total time spent at hypotension (mean arterial blood pressure <60 mm Hg), and total number of interventions. Results : Weight-based fluid volumes were similar between PACC-MAN and PDM; median and IQR are reported (73.1 mL/kg [59.0-78.7] vs. 87.1 mL/kg [79.4-91.8], P = 0.07). There was no statistical difference in cumulative norepinephrine (PACC-MAN: 33.4 μg/kg [27.1-44.6] vs. PDM: 7.5 [3.3-24.2] μg/kg, P = 0.09). The median percentage of time spent at hypotension was equivalent (PACC-MAN: 6.2% [3.6-7.4] and PDM: 3.1% [1.3-6.6], P = 0.23). Urine outputs were similar between PACC-MAN and PDM (14.0 mL/kg vs. 21.5 mL/kg, P = 0.13). Conclusion : Automated resuscitation achieves equivalent resuscitation outcomes to direct human intervention in this shock model. This study provides the first translational experience with the PACC-MAN system versus PDM.

Indexed as

Critical CareAnimalsDisease Models, AnimalFemaleFluid TherapyResuscitationShockSwineVasoconstrictor AgentsVasoconstrictor Agents

Identifiers

PMID38526148
PMCPMC11328591
OpenAlexW4393151474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.