Evidence map›Paper›PMID 38755956›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Charlson and Elixhauser Comorbidity Indices for Prediction of Mortality and Hospital Readmission in Patients With Acute Pulmonary Embolism.

Alexander O'Hara, Jacob Pozin, Mohammed Abourahma, Ryan Gigstad, Danny Torres, Benji Knapp, Bulent Kantarcioglu, Jawed Fareed, Amir Darki

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Impact of Onset Timing on 6-Month All-Cause Mortality in Hospital-Associated Pulmonary Embolism: A Retrospective Cohort Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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.

Alexander O'HaraDepartment of Medicine, Loyola University Medical Center, Maywood, IL, USA.ORCID 0009-0007-1856-4292
Jacob PozinDepartment of Medicine, Loyola University Medical Center, Maywood, IL, USA.
Mohammed AbourahmaDepartment of Medicine, Loyola University Medical Center, Maywood, IL, USA.
Ryan GigstadDepartment of Medicine, Loyola University Medical Center, Maywood, IL, USA.
Danny TorresStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Benji KnappStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Bulent KantarciogluDepartment of Pathology and Laboratory Medicine, Cardiovascular Research Institute, Loyola University Chicago, Health Sciences Division, Maywood, IL, USA.ORCID 0000-0003-3060-721X
Jawed FareedDepartment of Pathology and Laboratory Medicine, Cardiovascular Research Institute, Loyola University Chicago, Health Sciences Division, Maywood, IL, USA.ORCID 0000-0003-3465-2499
Amir DarkiDepartment of Cardiology, Loyola University Medical Center, Maywood, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several risk stratification systems aid clinicians in classifying pulmonary embolism (PE) severity and prognosis. We compared 2 clinical PE scoring systems, the PESI and sPESI scores, with 2 comorbidity indices, the Charlson Comorbidity Index (CCI) and the val Walraven Elixhauser Comorbidity Index (ECI), to determine the utility of each in predicting mortality and hospital readmission. Information was collected from 436 patients presenting with PE via retrospective chart review. The PESI, sPESI, CCI, and ECI scores were calculated for each patient. Multivariate analysis was used to determine each system's ability to predict in-hospital mortality, 90-day mortality, overall mortality, and all-cause hospital readmission. The impact of various demographic and clinical characteristics of each patient on these outcomes was also assessed. The PESI score was found to be an independent predictor of in-hospital mortality and 90-day mortality. The PESI score and the CCI were able to independently predict overall mortality. None of the 4 risk scores independently predicted hospital readmission. Other factors including hypoalbuminemia, serum BNP, coagulopathy, anemia, and diabetes were associated with increased mortality and readmission at various endpoints. The PESI score was the best tool for predicting mortality at any endpoint. The CCI may have utility in predicting long-term outcomes. Further work is needed to better determine the roles of the CCI and ECI in predicting patient outcomes in PE. The potential prognostic implications of low serum albumin and anemia at the time of PE also warrant further investigation.

Indexed as

ComorbidityHospital MortalityPatient ReadmissionPulmonary EmbolismAcute DiseaseAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesCharlson Comorbidity IndexElixhauser Comorbidity Indexhospital readmissionmortalitypulmonary embolismrisk stratification

Identifiers

PMID38755956
PMCPMC11102695

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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.