Evidence map›Paper›PMID 28819101›Full record

ArticleScientific reports2017

Hypotension in ICU Patients Receiving Vasopressor Therapy.

Bryce Yapps, Sungtae Shin, Ramin Bighamian, Jill Thorsen, Colleen Arsenault, Sadeq A Quraishi, Jin-Oh Hahn, Andrew T Reisner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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
–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

12 citing papers in PubMed.

  1. Article
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  6. Review
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  10. Artificial intelligence in health care: accountability and safety.Bulletin of the World Health Organization · 2020
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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

8 authors.

Bryce YappsDepartment of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA.
Sungtae ShinDepartment of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA.ORCID 0000-0002-9054-5666
Ramin BighamianDepartment of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA.
Jill ThorsenDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Colleen ArsenaultDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, 02114, USA.
Sadeq A QuraishiDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, 02114, USA.
Jin-Oh HahnDepartment of Mechanical Engineering, University of Maryland, College Park, MD, 20742, USA. jhahn12@umd.edu.ORCID 0000-0001-5429-2836
Andrew T ReisnerDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vasopressor infusion (VPI) is used to treat hypotension in an ICU. We studied compliance with blood pressure (BP) goals during VPI and whether a statistical model might be efficacious for advance warning of impending hypotension, compared with a basic hypotension threshold alert. Retrospective data were obtained from a public database. Studying adult ICU patients receiving VPI at submaximal dosages, we analyzed characteristics of sustained hypotension episodes (>15 min) and then developed a logistic regression model to predict hypotension episodes using input features related to BP trends. The model was then validated with prospective data. In the retrospective dataset, 102-of-215 ICU stays experienced >1 hypotension episode (median of 2.5 episodes per day in this subgroup). When trained with 75% of retrospective dataset, testing with the remaining 25% of the dataset showed that the model and the threshold alert detected 99.6% and 100% of the episodes, respectively, with median advance forecast times (AFT) of 12 and 0 min. In a second, prospective dataset, the model detected 100% of 26 episodes with a median AFT of 22 min. In conclusion, episodes of hypotension were common during VPI in the ICU. A logistic regression model using BP temporal trend features predicted the episodes before their onset.

Indexed as

Intensive Care UnitsAgedAged, 80 and overBlood PressureFemaleHumansHypotensionLogistic ModelsMaleMiddle AgedOutcome Assessment, Health CarePrognosisProspective StudiesRetrospective StudiesVasoconstrictor AgentsVasoconstrictor Agents

Identifiers

PMID28819101
PMCPMC5561088

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Registered trials

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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.