Evidence map›Paper›PMID 32547275›Full record

ArticleRisk management and healthcare policy2020

Validation and Comparison of a Modified Elixhauser Index for Predicting In-Hospital Mortality in Italian Internal Medicine Wards.

Alfredo De Giorgi, Emanuele Di Simone, Rosaria Cappadona, Benedetta Boari, Caterina Savriè, Pablo J López-Soto, María A Rodríguez-Borrego, Massimo Gallerani, Roberto Manfredini, Fabio Fabbian

Open access · goldAbstract read
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Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Alfredo De GiorgiDepartment of Internal Medicine, University Hospital St. Anna, Ferrara, Italy.ORCID 0000-0002-2699-191X
Emanuele Di SimoneDepartment of Internal Medicine, University Hospital St. Anna, Ferrara, Italy.ORCID 0000-0002-6373-8163
Rosaria CappadonaDepartment of Medical Sciences, Faculty of Medicine, Pharmacy and Prevention, University of Ferrara, Ferrara, Italy.ORCID 0000-0003-3254-6043
Benedetta BoariDepartment of Internal Medicine, University Hospital St. Anna, Ferrara, Italy.
Caterina SavrièDepartment of Internal Medicine, University Hospital St. Anna, Ferrara, Italy.
Pablo J López-SotoDepartment of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC)/University of Córdoba, Córdoba, Spain.ORCID 0000-0002-1046-6686
María A Rodríguez-BorregoDepartment of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC)/University of Córdoba, Córdoba, Spain.ORCID 0000-0002-5677-0165
Massimo GalleraniDepartment of Internal Medicine, University Hospital St. Anna, Ferrara, Italy.ORCID 0000-0002-5841-1641
Roberto ManfrediniDepartment of Medical Sciences, Faculty of Medicine, Pharmacy and Prevention, University of Ferrara, Ferrara, Italy.ORCID 0000-0002-8364-2601
Fabio FabbianDepartment of Medical Sciences, Faculty of Medicine, Pharmacy and Prevention, University of Ferrara, Ferrara, Italy.ORCID 0000-0001-5189-3695
University of Ferrara · ITInstituto Maimónides de Investigación Biomédica de Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBurden of comorbidities appears to be related to clinical outcomes in hospitalized patients. Clinical stratification of admitted patients could be obtained calculating a comorbidity score, which represents the simplest way to identify the severity of patients' clinical conditions and a practical approach to assess prevalent comorbidities. Our aim was to validate a modified Elixhauser score for predicting in-hospital mortality (IHM) in internal medicine admissions and to compare it with a different one derived from clinical data previously used in a similar setting, having a good prognostic accuracy. PATIENTS AND

methodsA single-center retrospective study enrolled all patients admitted to internal medicine department between January and June 2016. A modified Elixhauser score was calculated from chart review and administrative data; moreover, a second prognostic index was calculated from chart review only. Comorbidity scores were compared using c-statistic.

resultsWe analyzed 1614 individuals without selecting the reason for admission, 224 (13.9%) died during hospital stay. Deceased subjects were older (83.3±9.1 vs 78.4±13.5 years; p<0.001) and had higher burden of comorbidities. The modified Elixhauser score calculated by administrative data and by chart review and the comparator one was 18.13±9.36 vs 24.43±11.27 vs 7.63±3.3, respectively, and the c-statistic was 0.758 (95% CI 0.727-0.790), 0.811 (95% CI 0.782-0.840) and 0.740 (95% CI 0.709-0.771), respectively.

conclusionThe new modified Elixhauser score showed a similar performance to a previous clinical prognostic index when it was calculated using administrative data; however, its performance improved if calculation was based on chart review.

Indexed as

comorbidity scorein-hospital mortalityinternal medicine wardsvalidation

Identifiers

PMID32547275
PMCPMC7246324
OpenAlexW3026289275

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.