Evidence map›Paper›PMID 28611890›Full record

ArticleThe western journal of emergency medicine2017

Index to Predict In-hospital Mortality in Older Adults after Non-traumatic Emergency Department Intubations.

Kei Ouchi, Samuel Hohmann, Tadahiro Goto, Peter Ueda, Emily L Aaronson, Daniel J Pallin, Marcia A Testa, James A Tulsky, Jeremiah D Schuur, Mara A Schonberg

Abstract readValidation Study
In one paragraph

Article in The western journal of emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

10 authors.

Kei OuchiBrigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Samuel HohmannVizient, Center for Advanced Analytics, Irving, Texas.
Tadahiro GotoMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Peter UedaHarvard T.H. Chan School of Public Health, Department of Global Health and Population, Boston, Massachusetts.
Emily L AaronsonMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Daniel J PallinBrigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Marcia A TestaHarvard T.H. Chan School of Public Health, Department of Global Health and Population, Boston, Massachusetts.
James A TulskyDana-Farber Cancer Institute, Department of Psychosocial Oncology and Palliative Care, Boston, Massachusetts.
Jeremiah D SchuurBrigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Mara A SchonbergBeth Israel Deaconess Medical Center, Department of Medicine, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOur goal was to develop and validate an index to predict in-hospital mortality in older adults after non-traumatic emergency department (ED) intubations.

methodsWe used Vizient administrative data from hospitalizations of 22,374 adults ≥75 years who underwent non-traumatic ED intubation from 2008-2015 at nearly 300 U.S. hospitals to develop and validate an index to predict in-hospital mortality. We randomly selected one half of participants for the development cohort and one half for the validation cohort. Considering 25 potential predictors, we developed a multivariable logistic regression model using least absolute shrinkage and selection operator method to determine factors associated with in-hospital mortality. We calculated risk scores using points derived from the final model's beta coefficients. To evaluate calibration and discrimination of the final model, we used Hosmer-Lemeshow chi-square test and receiver-operating characteristic analysis and compared mortality by risk groups in the development and validation cohorts.

resultsDeath during the index hospitalization occurred in 40% of cases. The final model included six variables: history of myocardial infarction, history of cerebrovascular disease, history of metastatic cancer, age, admission diagnosis of sepsis, and admission diagnosis of stroke/ intracranial hemorrhage. Those with low-risk scores (<6) had 31% risk of in-hospital mortality while those with high-risk scores (>10) had 58% risk of in-hospital mortality. The Hosmer-Lemeshow chi-square of the model was 6.47 (p=0.09), and the c-statistic was 0.62 in the validation cohort.

conclusionThe model may be useful in identifying older adults at high risk of death after ED intubation.

Indexed as

Hospital MortalityAgedAged, 80 and overChronic DiseaseEmergency Service, HospitalForecastingHumansIntubation, IntratrachealModels, BiologicalRandom AllocationRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness Index

Identifiers

PMID28611890
PMCPMC5468075

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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.