Evidence map›Paper›PMID 36095314›Full record

ArticleAnnals of internal medicine2022

Development and Validation of the Summary Elixhauser Comorbidity Score for Use With ICD-10-CM-Coded Data Among Older Adults.

Hemalkumar B Mehta, Shuang Li, Huijun An, James S Goodwin, G Caleb Alexander, Jodi B Segal

Abstract read
In one paragraph

Article in Annals of internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

  1. Pooled it
  2. Trial
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  17. Social determinants of health and hospitalization risk in heart failure: A Retrospective analysis.American heart journal plus : cardiology research and practice · 2026
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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

6 authors.

Hemalkumar B MehtaCenter for Drug Safety & Effectiveness and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (H.B.M., H.A.).ORCID 0000-0001-9134-6370
Shuang LiSealy Center on Aging, Department of Internal Medicine, The University of Texas Medical Branch at Galveston, Galveston, Texas (S.L., J.S.G.).
Huijun AnCenter for Drug Safety & Effectiveness and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (H.B.M., H.A.).
James S GoodwinSealy Center on Aging, Department of Internal Medicine, The University of Texas Medical Branch at Galveston, Galveston, Texas (S.L., J.S.G.).ORCID 0000-0001-5507-1613
G Caleb AlexanderCenter for Drug Safety & Effectiveness and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, and Division of General Internal Medicine, Johns Hopkins Medicine, Baltimore, Maryland (G.C.A., J.B.S.).ORCID 0000-0002-5622-2986
Jodi B SegalCenter for Drug Safety & Effectiveness and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, and Division of General Internal Medicine, Johns Hopkins Medicine, Baltimore, Maryland (G.C.A., J.B.S.).

Funding

Towards Understanding the Patient Experience of Overuse of Medical ResourcesK24AG049036 · NIA · JOHNS HOPKINS UNIVERSITY · PI SEGAL, JODI B. · 2015 to 2024
$1.6M
Established Investigator Award in Cancer Prevention & ControlK05CA134923 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2008 to 2019
$1.0M
Drug-Drug Interactions Involving Direct-Acting Oral Anticoagulants in Nursing Home ResidentsK01AG070329 · NIA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, HEMALKUMAR B. · 2021 to 2025
$647k
NCI NIH HHS K05 CA134923NIA NIH HHS K01 AG070329NIA NIH HHS K24 AG049036
6 · The paper itself

Abstract

backgroundOlder adults have many comorbidities contributing to mortality.

objectiveTo develop a summary Elixhauser (S-Elixhauser) comorbidity score to predict 30-day, in-hospital, and 1-year mortality in older adults using the 38 comorbidities operationalized by the Agency for Healthcare Research and Quality (AHRQ).

designRetrospective cohort study.

settingMedicare beneficiaries from 2017 to 2019. PATIENTS: Persons hospitalized in 2018 ( MEASUREMENTS: Weights were derived for 38 comorbidities to predict 30-day, in-hospital, and 1-year mortality. The S-Elixhauser score was internally validated and calibrated. Individual Elixhauser comorbidity indicators (38 comorbidities), the modified application of the AHRQ-derived Elixhauser summary score, the Charlson comorbidity indicators (17 comorbidities), and the Charlson summary score were externally validated. The c-statistic was used to evaluate discrimination of a comorbidity score model.

resultsThe S-Elixhauser score was well calibrated and internally validated, with a c-statistic of 0.705 (95% CI, 0.703 to 0.707) in predicting 30-day mortality, 0.654 (CI, 0.651 to 0.657) for in-hospital mortality, and 0.743 (CI, 0.741 to 0.744) for 1-year mortality. In external validation of other comorbidity indices for 30-day mortality, the c-statistic was 0.711 (CI, 0.709 to 0.713) for the individual Elixhauser comorbidity indicators, 0.688 (CI, 0.686 to 0.690) for the AHRQ Elixhauser score, 0.696 (CI, 0.694 to 0.698) for the Charlson comorbidity indicators, and 0.690 (CI, 0.688 to 0.693) for the Charlson summary score. In 3 disease-specific populations, the discrimination of the S-Elixhauser score in predicting 30-day mortality ranged from 0.657 to 0.732. LIMITATION: Validation of the S-Elixhauser comorbidity score and head-to-head comparison with other comorbidity scores in an external population are needed to evaluate comparative performance.

conclusionThe S-Elixhauser comorbidity score is well calibrated and internally validated but its advantage over the AHRQ Elixhauser and Charlson summary scores is unclear. PRIMARY FUNDING SOURCE: National Institute on Aging.

Indexed as

International Classification of DiseasesMedicareAgedComorbidityHospital MortalityHumansRetrospective StudiesRisk AssessmentUnited States

Identifiers

PMID36095314
PMCPMC9894164

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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.