Evidence map›Paper›PMID 40885535›Full record

ArticleChest2026

The Consistency of Hypercapnic Respiratory Failure Case Definitions in Electronic Health Record Data.

Brian W Locke, W Wayne Richards, Ramkiran Gouripeddi, Jeanette P Brown, Dustin Anderson-Bell, Joseph Finkelstein, Krishna M Sundar, Ithan D Peltan, Samuel M Brown

Abstract read
In one paragraph

Article in Chest, 2026. 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

9 authors.

Brian W LockeDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Salt Lake City, UT; Division of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT. Electronic address: brian.locke@imail.org.
W Wayne RichardsDivision of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Ramkiran GouripeddiDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT; Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT.
Jeanette P BrownDivision of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT.
Dustin Anderson-BellDivision of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT.
Joseph FinkelsteinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Krishna M SundarDivision of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT.
Ithan D PeltanDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Salt Lake City, UT; Division of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT.
Samuel M BrownDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Salt Lake City, UT; Division of Pulmonary, Critical Care, and Occupational Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Multidisciplinary Pulmonary and Critical Care Training ProgramT32HL105321 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Ramsey Hachem, Robert Paine · 2010 to 2026
$4.5M
Measuring and Learning from Care Variation in SepsisR35GM151147 · NIGMS · IHC HEALTH SERVICES, INC. · PI Ithan Daniel Peltan · 2023 to 2026
$1.5M
NCATS NIH HHS UL1 TR002538NCATS NIH HHS UM1 TR004409NHLBI NIH HHS T32 HL105321NIGMS NIH HHS R35 GM151147
6 · The paper itself

Abstract

backgroundSeveral studies suggest a high prevalence and disease burden associated with hypercapnic respiratory failure of any cause in emergency department (ED) and inpatient settings. However, these studies use different case definitions. The consistency and validity of these case definitions have not been assessed. RESEARCH QUESTIONS: Do the various case definitions from health record-based studies of adults with hypercapnic respiratory failure identify the same, or similar, patients?

methodsWe identified case definitions for hypercapnic respiratory failure from the peer-reviewed literature. We constructed an emulation data set enriched for the presence of hypercapnic respiratory failure from TriNetX (TriNetX, LLC), which aggregates health records from 76 hospitals in the United States. Adult ED and inpatient encounters occurring in 2022 were eligible for inclusion. We assessed consistency among case definitions by applying them to the emulation data set on the day of ED or hospital admission. We calculated Cohen's κ value and compared the patient characteristics and short-term outcomes for the cohorts defined by each case definition. We evaluated the accuracy of hypercapnic respiratory failure diagnosis codes for capturing hypercapnia demonstrated on first-day arterial blood gas samples.

resultsTen case definitions for hypercapnic respiratory failure were identified and were amenable to emulation. The emulation data set contained 515,286 encounters. Case definitions showed limited agreement (median κ = 0.35; interquartile range, 0.21-0.56) for hypercapnic respiratory failure identification. Key demographic characteristics, comorbidities, and outcomes such as receiving ventilatory support (range, 29%-100%) and 60-day mortality (range, 12%-28%) varied substantially among the resulting cohorts. Diagnosis codes were insensitive for capturing first-day arterial blood gas-demonstrated hypercapnia (sensitivity, 23.5%; 95% CI, 23.1%-23.8%).

interpretationCase definitions from studies of hypercapnic respiratory failure identify patients with widely different attributes and outcomes, thereby hampering interpretation of associated study findings. Standardization of case definitions is necessary to improve the rigor and generalizability of research on hypercapnic respiratory failure.

Indexed as

Electronic Health RecordsHypercapniaRespiratory InsufficiencyAdultAgedBlood Gas AnalysisEmergency Service, HospitalFemaleHumansMaleMiddle AgedUnited Statescase definitionhypercapnic respiratory failurehypercarbiahypoventilationresearch methods

Identifiers

PMID40885535
PMCPMC12739763

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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.