Evidence map›Paper›PMID 21163875›Full record

ArticleChest2011

CURB-65 pneumonia severity assessment adapted for electronic decision support.

Barbara E Jones, Jason Jones, Thomas Bewick, Wei Shen Lim, Dominik Aronsky, Samuel M Brown, Wim G Boersma, Menno M van der Eerden, Nathan C Dean

Abstract readComparative Study
In one paragraph

Article in Chest, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. How and when to manage respiratory infections out of hospital.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  15. Clinical Implication ofInfection & chemotherapy · 2022
    Article
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  19. Deploying an Electronic Clinical Decision Support Tool for Diagnosis and Treatment of Pneumonia Into Rural and Critical Access Hospitals: Utilization, Effect on Processes of Care, and Clinician Satisfaction.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
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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

9 authors.

Barbara E JonesDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Utah, Salt Lake City, UT. Electronic address: barbara.jones@hsc.utah.edu.
Jason JonesDepartment of Medical Informatics, Intermountain Medical Center, Murray, UT.
Thomas BewickNottingham University Hospitals NHS Trust, Nottingham, England.
Wei Shen LimNottingham University Hospitals NHS Trust, Nottingham, England.
Dominik AronskyDepartment of Biomedical Informatics and Emergency Medicine, Vanderbilt Hospital, Nashville, TN.
Samuel M BrownDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Utah, Salt Lake City, UT; Department of Medical Informatics, Intermountain Medical Center, Murray, UT.
Wim G BoersmaDepartment of Pulmonary Disease, Medical Centre Alkmaar, The Netherlands.
Menno M van der EerdenDepartment of Pulmonary Disease, Medical Centre Alkmaar, The Netherlands.
Nathan C DeanDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Utah, Salt Lake City, UT; Department of Medical Informatics, Intermountain Medical Center, Murray, UT.

Funding

Cardiovascular Variability and Control in Early SepsisK23GM094465 · NIGMS · IHC HEALTH SERVICES, INC. · PI BROWN, SAMUEL MORRIS · 2010 to 2014
$637k
NIGMS NIH HHS K23 GM094465
6 · The paper itself

Abstract

backgroundAccurate severity assessment is crucial to the initial management of community-acquired pneumonia (CAP). The CURB-65 (confusion, uremia, respiratory rate, BP, age ≥ 65 years) score contains data that are entered routinely in electronic medical records and are, thus, electronically calculable. The aim of this study was to determine whether an electronically generated severity estimate using CURB-65 elements as continuous and weighted variables better predicts 30-day mortality than the traditional CURB-65.

methodsIn a retrospective cohort study at a US university-affiliated community teaching hospital, we identified 2,069 patients aged 18 years or older with CAP confirmed by radiographic findings in the ED. CURB-65 elements were extracted from the electronic medical record, and 30-day mortality was identified with the Utah Population Database. Performance of a severity prediction model using continuous and weighted CURB-65 variables was compared with the traditional CURB-65 in the US derivation population and validated in the original 1,048 patients from the CURB-65 international derivation study.

resultsThe traditional, binary CURB-65 score predicted mortality in the US cohort with an area under the curve (AUC) of 0.82. Our severity prediction model generated from continuous, weighted CURB-65 elements was superior to the traditional CURB-65, with an out-of-bag AUC of 0.86 (P < .001). This finding was validated in the international database, with an AUC of 0.85 for the electronic model compared with 0.80 for the traditional CURB-65 (P = .01).

conclusionsUsing CURB-65 elements as continuous and weighted data improved prediction of 30-day mortality and could be used as a real-time, electronic decision support tool or to adjust outcomes by severity when comparing processes of care.

Indexed as

Decision Support TechniquesCommunity-Acquired InfectionsDiagnosis, DifferentialFemaleFollow-Up StudiesHospitals, TeachingHumansMaleMiddle AgedPneumoniaPrognosisRetrospective StudiesRisk AssessmentSeverity of Illness IndexSurvival RateUtah

Identifiers

PMID21163875
PMCPMC3198487

What OpenQuestion holds

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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.