Evidence map›Paper›PMID 40561988›Full record

ArticleThe western journal of emergency medicine2025

Emergency Department Blood Pressure Management in Type B Aortic Dissection: An Analysis with Machine Learning.

Nelson Chen, Jessica V Downing, Jacob Epstein, Samira Mudd, Angie Chan, Sneha Kuppireddy, Roya Tehrani, Isha Vashee, Emily Hart, Emily Esposito and 2 more

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2025. 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
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.

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.

Nelson ChenUniversity of Maryland School of Medicine, Baltimore, Maryland.
Jessica V DowningUniversity of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Jacob EpsteinResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Samira MuddResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Angie ChanResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Sneha KuppireddyResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Roya TehraniResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Isha VasheeResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Emily HartUniversity of Maryland Medical Center, Critical Care Resuscitation Unit, Baltimore, Maryland.
Emily EspositoUniversity of Maryland School of Medicine, Program in Trauma, The R. Adam Cowley Shock Trauma Center, Baltimore, Maryland.
Rose ChasmUniversity of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Quincy K TranResearch Associate Program in Emergency Medicine and Critical Care, University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute aortic dissections (AAD) have a high morbidity and mortality rate. Treatment for type B aortic dissection includes strict systolic blood pressure (SBP) and heart rate (HR) control per the American Heart Association (AHA) guidelines. However, predictors of successful emergency department (ED) management of SBP have not been well studied.

methodsWe retrospectively analyzed the records of adult patients presenting to any regional ED with type B AAD between 2017-2020 with initial SBP >120 mmHg and HR >60 beats per minute (bpm) and were subsequently transferred to our quaternary center. Primary outcome was SBP <120 mmHg based on both the 2010 and 2022 AHA guidelines and HR <60 bpm (based on the 2010 guideline), or HR <80 (2022 guideline). We used random forest (RF) algorithms, a machine-learning tool that uses clusters of decision trees to predict a categorical outcome, to identify predictors of achieving HR and SBP goals prior to ED departure, defined as the time point at which patients left the referring ED to come to our institution.

resultsThe analysis included 134 patients. At the time of ED departure, 26 (19%) had SBP <120 mmHg, 96 (67%) received anti-impulse therapy, and 40 (28%) received beta-blocker or vasodilator infusions specifically. The RF algorithm identified higher triage SBP and treatment with intravenous labetalol as the top predictors for SBP >120 mmHg at ED departure, contrary to AHA guidelines. Pain management with higher total morphine equivalent unit, as well as shorter time to computed tomography as predictors for HR <60 bpm and <80 bpm, were in concert with AHA guidelines.

conclusionMany patients with type B AAD did not achieve hemodynamic parameters in line with 2010 or 2022 AHA guidelines while being in the ED prior to transferring to a quaternary care center for further evaluation and management. Patients with higher heart rate and systolic blood pressure on ED arrival were less likely to achieve goals at the time of departure from the referring EDs. Those receiving more pain medications prior to transfer were more likely to meet certain AHA goals.

Indexed as

Aortic AneurysmAortic DissectionBlood PressureEmergency Service, HospitalMachine LearningAdrenergic beta-AntagonistsAgedAntihypertensive AgentsFemaleHeart RateHumansMaleMiddle AgedPractice Guidelines as TopicRetrospective StudiesAdrenergic beta-AntagonistsAntihypertensive Agents

Identifiers

PMID40561988
PMCPMC12208080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.