Evidence map›Paper›PMID 33856298›Full record

ArticleThe western journal of emergency medicine2021

Effect of Blood Pressure Variability on Outcomes in Emergency Patients with Intracranial Hemorrhage.

Quincy K Tran, Daniel Najafali, Laura Tiffany, Safura Tanveer, Brooke Andersen, Michelle Dawson, Rachel Hausladen, Matthew Jackson, Ann Matta, Jordan Mitchell and 2 more

Open access · goldAbstract read
In one paragraph

Article in The western journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 3 institutions in 1 country.

Quincy K TranUniversity of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Daniel NajafaliUniversity of Maryland School of Medicine, The Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, Baltimore, Maryland.
Laura TiffanyUniversity of Maryland School of Medicine, The Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, Baltimore, Maryland.
Safura TanveerUniversity of Maryland School of Medicine, The Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, Baltimore, Maryland.
Brooke AndersenUniversity of Maryland School of Medicine, The R Adams Cowley Shock Trauma Center, Department of Emergency Medicine, Baltimore, Maryland.
Michelle DawsonUniversity of Maryland School of Medicine, The R Adams Cowley Shock Trauma Center, Department of Emergency Medicine, Baltimore, Maryland.
Rachel HausladenUniversity of Maryland Medical Center, Department of Neurology, Baltimore, Maryland.
Matthew JacksonUniversity of Maryland School of Medicine, The Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, Baltimore, Maryland.
Ann MattaUniversity of Maryland School of Medicine, The R Adams Cowley Shock Trauma Center, Department of Emergency Medicine, Baltimore, Maryland.
Jordan MitchellUniversity of Maryland School of Medicine, The Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, Baltimore, Maryland.
Christopher YumUniversity of Maryland School of Medicine, The Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, Baltimore, Maryland.
Diane KuhnUniversity of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Nephrology Center of Maryland · USUniversity of Maryland Medical Center · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with spontaneous intracranial hemorrhage (sICH) have high mortality and morbidity, which are associated with blood pressure variability. Additionally, blood pressure variability is associated with acute kidney injury (AKI) in critically ill patients, but its association with sICH patients in emergency departments (ED) is unclear. Our study investigated the association between blood pressure variability in the ED and the risk of developing AKI during sICH patients' hospital stay.

methodsWe retrospectively analyzed patients with sICH, including those with subarachnoid and intraparenchymal hemorrhage, who were admitted from any ED and who received an external ventricular drain at our academic center. Patients were identified by the International Classification of Diseases, Ninth Revision (ICD-9). Outcomes were the development of AKI, mortality, and being discharged home. We performed multivariable logistic regressions to measure the association of clinical factors and interventions with outcomes.

resultsWe analyzed the records of 259 patients: 71 (27%) patients developed AKI, and 59 (23%) patients died. Mean age (± standard deviation [SD]) was 58 (14) years, and 150 (58%) were female. Patients with AKI had significantly higher blood pressure variability than patients without AKI. Each millimeter of mercury increment in one component of blood pressure variability, SD in systolic blood pressure (SBP

conclusionOur study suggests that greater SBP

Indexed as

Acute Kidney InjuryAdultAgedBlood PressureCritical IllnessEmergency Service, HospitalFemaleHospitalizationHospital MortalityHumansIntracranial HemorrhagesLength of StayMaleMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID33856298
PMCPMC7972364
OpenAlexW3129010792

What OpenQuestion holds

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LicenceCC BY
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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.