• J Orthop Sci · May 2021

    Predicting in-hospital mortality for dementia patients after hip fracture surgery - A comparison between the Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index.

    • Pei-Ling Tang, Huey-Shyan Lin, and Chien-Jen Hsu.
    • Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Research Center of Medical Informatics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Department of Health-Business Administration, Fooyin University, Kaohsiung, Taiwan. Electronic address: pltang728@gmail.com.
    • J Orthop Sci. 2021 May 1; 26 (3): 396-402.

    BackgroundConsiderable in-hospital mortality was reported in geriatric patients with dementia sustaining femoral neck or inter-trochanteric fracture. We intended to establish a predictive model of in-hospital mortality for dementia patients after hip fracture surgery.MethodsWe collected 8080 registrants ≧ 65 years old from the subset (LHID2000) of the National Health Insurance Research Database (NHIRD) that met the following inclusion criteria:1. Admitted with the ICD of hip fracture; 2. Underwent operation of hip fracture during the same hospitalization; 3. Co-existing diagnosis of dementia (ICD-9-CM codes 290). The co-morbidity was recorded according to validated Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) from the diagnoses of hospitalization. The main outcome measure was in-hospital mortality that was defined as death being reported during hospitalization. The comparison of predictability was conducted by Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) among different predictive models.ResultsThe Charlson Comorbidity Index (CCI) score and Elixhauser Comorbidity Index (ECI) score showed similar ability in predicting in-hospital mortality (AUC = 0.653, 95% CI = 0.611-0.695 for CCI; AUC = 0.624, 95% CI = 0.582-0.665 for ECI, p = 0.0717). By adding age grouping (≥80 yrs = 1, 65-80 yrs = 0) and gender difference (Male = 1, Female = 0), these two models were shifted to models CCI_new1 and ECI_new1. Consequently, the AUC greatly increased in the CCI_new1 (AUC = 0.682, 95% CI = 0.643-0.722). It therefore provided better prediction of in-hospital mortality than ECI_new1 (AUC = 0.651, 95% CI = 0.611-0.691) (p = 0.0444).ConclusionsUtilizing the CCI with addition of grouping for age and gender provides a better prediction for in-hospital mortality than the ECI among elderly patients with concomitant dementia and hip fracture who underwent surgical intervention.Copyright © 2020 The Japanese Orthopaedic Association. Published by Elsevier B.V. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

Want more great medical articles?

Keep up to date with a free trial of metajournal, personalized for your practice.
1,624,503 articles already indexed!

We guarantee your privacy. Your email address will not be shared.