Evidence map›Paper›PMID 37340621›Full record

ArticleDiagnosis (Berlin, Germany)2023

Multicenter evaluation of a method to identify delayed diagnosis of diabetic ketoacidosis and sepsis in administrative data.

Kenneth A Michelson, Richard G Bachur, Andrea T Cruz, Joseph A Grubenhoff, Scott D Reeves, Pradip P Chaudhari, Michael C Monuteaux, Arianna H Dart, Jonathan A Finkelstein

Abstract readMulticenter Study
In one paragraph

Article in Diagnosis (Berlin, Germany), 2023. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Kenneth A MichelsonDivision of Emergency Medicine, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0003-1763-7262
Richard G BachurDivision of Emergency Medicine, Boston Children's Hospital, Boston, MA, USA.
Andrea T CruzDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Joseph A GrubenhoffSection of Pediatric Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Scott D ReevesDivision of Pediatric Emergency Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Pradip P ChaudhariDivision of Emergency and Transport Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Michael C MonuteauxDivision of Emergency Medicine, Boston Children's Hospital, Boston, MA, USA.
Arianna H DartDivision of Emergency Medicine, Boston Children's Hospital, Boston, MA, USA.
Jonathan A FinkelsteinKaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.

Funding

Delayed Diagnosis of Serious Pediatric Emergency ConditionsK08HS026503 · AHRQ · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI MICHELSON, KENNETH · 2019 to 2023
$763k
AHRQ HHS K08 HS026503
6 · The paper itself

Abstract

objectivesTo derive a method of automated identification of delayed diagnosis of two serious pediatric conditions seen in the emergency department (ED): new-onset diabetic ketoacidosis (DKA) and sepsis.

methodsPatients under 21 years old from five pediatric EDs were included if they had two encounters within 7 days, the second resulting in a diagnosis of DKA or sepsis. The main outcome was delayed diagnosis based on detailed health record review using a validated rubric. Using logistic regression, we derived a decision rule evaluating the likelihood of delayed diagnosis using only characteristics available in administrative data. Test characteristics at a maximal accuracy threshold were determined.

resultsDelayed diagnosis was present in 41/46 (89 %) of DKA patients seen twice within 7 days. Because of the high rate of delayed diagnosis, no characteristic we tested added predictive power beyond the presence of a revisit. For sepsis, 109/646 (17 %) of patients were deemed to have a delay in diagnosis. Fewer days between ED encounters was the most important characteristic associated with delayed diagnosis. In sepsis, our final model had a sensitivity for delayed diagnosis of 83.5 % (95 % confidence interval 75.2-89.9) and specificity of 61.3 % (95 % confidence interval 56.0-65.4).

conclusionsChildren with delayed diagnosis of DKA can be identified by having a revisit within 7 days. Many children with delayed diagnosis of sepsis may be identified using this approach with low specificity, indicating the need for manual case review.

Indexed as

Diabetic KetoacidosisSepsisAdolescentChildDelayed DiagnosisEmergency Service, HospitalHumansadministrative datadiabetesdiagnostic erroremergency medicinehealthcare systempediatrics

Identifiers

PMID37340621
PMCPMC10679849

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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.