Evidence map›Paper›PMID 35332038›Full record

Observational studyBMJ open2022

Association of the Intermountain Risk Score with major adverse health events in patients positive for COVID-19: an observational evaluation of a US cohort.

Benjamin D Horne, Joseph R Bledsoe, Joseph B Muhlestein, Heidi T May, Ithan D Peltan, Brandon J Webb, John F Carlquist, Sterling T Bennett, Susan Rea, Tami L Bair and 8 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Intermittent fasting and changes in clinical risk scores: Secondary analysis of a randomized controlled trial.International journal of cardiology. Cardiovascular risk and prevention · 2023
    Article
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

18 authors at 3 institutions in 1 country.

Benjamin D HorneIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA benjamin.horne@imail.org.ORCID 0000-0002-2656-0263
Joseph R BledsoeDepartment of Emergency Medicine, Intermountain Medical Center, Salt Lake City, UT, USA.
Joseph B MuhlesteinIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Heidi T MayIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Ithan D PeltanPulmonary and Critical Care, Intermountain Medical Center, Salt Lake City, Utah, USA.
Brandon J WebbDivision of Infectious Diseases and Clinical Epidemiology, Department of Medicine, Intermountain Medical Center, Salt Lake City, Utah, USA.
John F CarlquistIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Sterling T BennettIntermountain Central Laboratory, Intermountain Medical Center, Salt Lake City, UT, USA.
Susan ReaCare Transformation Information Systems, Intermountain Healthcare, Salt Lake City, UT, USA.
Tami L BairIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Colin K GrissomPulmonary and Critical Care, Intermountain Medical Center, Salt Lake City, Utah, USA.
Stacey KnightIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Brianna S RonnowIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Viet T LeIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Edward StenehjemDivision of Infectious Diseases and Clinical Epidemiology, Department of Medicine, Intermountain Medical Center, Salt Lake City, Utah, USA.
Scott C WollerDepartment of Medicine, Intermountain Medical Center, Salt Lake City, UT, USA.ORCID 0000-0002-2522-2705
Kirk U KnowltonIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Jeffrey L AndersonIntermountain Heart Institute, Intermountain Medical Center, Salt Lake City, Utah, USA.
Intermountain Medical Center · USUniversity of Utah · USIntermountain Healthcare · US

Funding

Prehospital Activation of ED Teams to Improve Sepsis CareK23GM129661 · NIGMS · IHC HEALTH SERVICES, INC. · PI PELTAN, ITHAN DANIEL · 2019 to 2023
$786k
NIGMS NIH HHS K23 GM129661
6 · The paper itself

Abstract

objectivesThe Intermountain Risk Score (IMRS), composed using published sex-specific weightings of parameters in the complete blood count (CBC) and basic metabolic profile (BMP), is a validated predictor of mortality. We hypothesised that IMRS calculated from prepandemic CBC and BMP predicts COVID-19 outcomes and that IMRS using laboratory results tested at COVID-19 diagnosis is also predictive.

designProspective observational cohort study.

settingPrimary, secondary, urgent and emergent care, and drive-through testing locations across Utah and in sections of adjacent US states. Viral RNA testing for SARS-CoV-2 was conducted from 3 March to 2 November 2020.

participantsPatients aged ≥18 years were evaluated if they had CBC and BMP measured in 2019 and tested positive for COVID-19 in 2020. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was a composite of hospitalisation or mortality, with secondary outcomes being hospitalisation and mortality separately.

resultsAmong 3883 patients, 8.2% were hospitalised and 1.6% died. Subjects with low, mild, moderate and high-risk IMRS had the composite endpoint in 3.5% (52/1502), 8.6% (108/1256), 15.5% (152/979) and 28.1% (41/146) of patients, respectively. Compared with low-risk, subjects in mild-risk, moderate-risk and high-risk groups had HR=2.33 (95% CI 1.67 to 3.24), HR=4.01 (95% CI 2.93 to 5.50) and HR=8.34 (95% CI 5.54 to 12.57), respectively. Subjects aged <60 years had HR=3.06 (95% CI 2.01 to 4.65) and HR=7.38 (95% CI 3.14 to 17.34) for moderate and high risks versus low risk, respectively; those ≥60 years had HR=1.95 (95% CI 0.99 to 3.86) and HR=3.40 (95% CI 1.63 to 7.07). In multivariable analyses, IMRS was independently predictive and was shown to capture substantial risk variation of comorbidities.

conclusionsIMRS, a simple risk score using very basic laboratory results, predicted COVID-19 hospitalisation and mortality. This included important abilities to identify risk in younger adults with few diagnosed comorbidities and to predict risk prior to SARS-CoV-2 infection.

Indexed as

COVID-19AdolescentAdultCohort StudiesCOVID-19 TestingFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSARS-CoV-2COVID-19epidemiologypreventive medicinepublic health

Identifiers

PMID35332038
PMCPMC8948080
OpenAlexW4220869191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.