Article Data

  • Views 690
  • Dowloads 165

Original Research

Open Access

Comparing the predictive performance of in-hospital mortality of different frailty scales for elderly patients in the emergency department

  • I-Wei Fan1,†
  • Yu-Hsiang Chen1,†
  • Wan-Ling Hsu1
  • Chip-Jin Ng2
  • Yi-Ming Weng1,2,*,

1Department of Emergency Medicine, Taoyuan General Hospital, Ministry of Health and Welfare, 330215 Taoyuan, Taiwan

2Department of Emergency Medicine, Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, 333423 Taoyuan, Taiwan

DOI: 10.22514/sv.2024.107 Vol.20,Issue 9,September 2024 pp.24-30

Submitted: 28 December 2023 Accepted: 27 February 2024

Published: 08 September 2024

*Corresponding Author(s): Yi-Ming Weng E-mail: yiming33@adm.cgmh.org.tw

† These authors contributed equally.

Abstract

Assessments for frailty, comorbidity and disability should be conducted for elderly patients in the emergency department (ED) using suitable scales. We evaluated the predictive values derived from the Eastern Cooperative Oncology Group Performance Status Scale (ECOG), Charlson Comorbidity Index (CCI), and Clinical Frailty Scale (CFS) in an ED context. This prospective cohort study, conducted in the EDs of two Taoyuan City, Taiwan hospitals for 8 months. Patients aged 65 or older and their families participated in interviews and filled out questionnaires. The study then analyzed the scales’ performance in predicting patient mortality and average hospital stay length. The study included 593 patients. Participants had a mean age of 75.8 years. The majority, 74.4%, were categorized as level III under the Taiwan Triage and Acuity Scale (TTAS). Meanwhile, 114 patients (19.2%) were deemed critical (TTAS levels II or I). Admission and mortality rate were significant associated with three scales above cut-off value after adjusted to age, gender and TTAs by logistic regression analysis, except for ECOG >3 group in predicting admission to hospital (p = 0.055). The CCI demonstrated significantly higher predictability for mortality compared to other scales, boasting an area under the curve (AUC) of 0.810 (95% confidence interval (CI): 0.730–0.891). This was followed by the CFS with an AUC of 0.706 (95% CI: 0.614–0.799) and the Eastern Cooperative Oncology Group Performance Status (ECOG-PS) with an AUC of 0.660 (95% CI: 0.565–0.754). However, there was no significant difference among these scales in predicting hospital admission (CCI AUC: 0.600, 95% CI: 0.552–0.648; CFS AUC: 0.583, 95% CI: 0.535–0.632; ECOG-PS AUC: 0.580, 95% CI: 0.531–0.628). As conclusion, this study evaluated the performance of ECOG, CCI, and CFS in predicting outcomes during ED triage. Although CCI can predict in-hospital mortality, its application in ED needs more comprehensive research.


Keywords

Geriatric assessment; Health status; Aged; Health services for the aged; Emergency; Medicine


Cite and Share

I-Wei Fan,Yu-Hsiang Chen,Wan-Ling Hsu,Chip-Jin Ng,Yi-Ming Weng. Comparing the predictive performance of in-hospital mortality of different frailty scales for elderly patients in the emergency department. Signa Vitae. 2024. 20(9);24-30.

References

[1] United Nations. World population prospects 2022: summary of results. 2022. Available at: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/wpp2022_summary_of_results.pdf (Accessed: 03 February 2024).

[2] Ukkonen M, Jämsen E, Zeitlin R, Pauniaho S. Emergency department visits in older patients: a population-based survey. BMC Emergency Medicine. 2019; 19: 20.

[3] Lucke JA, Mooijaart SP, Heeren P, Singler K, McNamara R, Gilbert T, et al. Providing care for older adults in the emergency department: expert clinical recommendations from the European task force on geriatric emergency Medicine. European Geriatric Medicine. 2022; 13: 309–317.

[4] Mitnitski A, Song X, Rockwood K. Assessing biological age: the origin of deficit accumulation. Biogerontology. 2013; 14:709–717.

[5] Khalil AH, Gobbens RJJ. What if the clinical and older adults’ perspectives about frailty converge? A call for a mixed conceptual model of frailty: a traditional literature review. Healthcare. 2023; 11: 3174.

[6] Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. The Journals of Gerontology Series. 2004; 59: M255–M263.

[7] Hess LM, Smith D, Cui ZL, Montejano L, Liepa AM, Schelman W, et al. The relationship between eastern cooperative oncology group performance status and healthcare resource utilization among patients with advanced or metastatic colorectal, lung or gastric cancer. Journal of Drug Assessment. 2021; 10: 10–17.

[8] Charlson ME, Carrozzino D, Guidi J, Patierno C. Charlson comorbidity index: a critical review of clinimetric properties. Psychotherapy and Psychosomatics. 2022; 91: 8–35.

[9] Kabell Nissen S, Rueegg M, Carpenter CR, Kaeppeli T, Busch J, Fournaise A, et al. Prognosis for older people at presentation to emergency department based on frailty and aggregated vital signs. Journal of the American Geriatrics Society. 2023; 71: 1250–1258.

[10] Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, et al. Toxicity and response criteria of the eastern cooperative oncology group. American Journal of Clinical Oncology. 1982; 5: 649–656.

[11] Junhasavasdikul D, Theerawit P, Kiatboonsri S. Association between admission delay and adverse outcome of emergency medical patients. Emergency Medicine Journal. 2013; 30: 320–323.

[12] Ahn BK, Lee Y, Kim Y, Sohn CH, Ahn S, Seo DW, et al. Prediction model for mortality in cancer patients with pneumonia: comparison with CURB-65 and PSI. The Clinical Respiratory Journal. 2018; 12: 538–546.

[13] Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of Chronic Diseases. 1987; 40: 373–383.

[14] Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. American Journal of Epidemiology. 2011; 173: 676–682.

[15] Radovanovic D, Seifert B, Urban P, Eberli FR, Rickli H, Bertel O, et al. Validity of Charlson comorbidity index in patients hospitalised with acute coronary syndrome. Insights from the nationwide AMIS Plus registry 2002–2012. Heart. 2014; 100: 288–294.

[16] Maragkos GA, Matsoukas S, Cho LD, Legome EL, Wedderburn RV, Margetis K. Comparison of frailty indices and the Charlson comorbidity index in traumatic brain injury. Journal of Head Trauma Rehabilitation. 2023; 38: E177–E185.

[17] Jouffroy R, Parfait PA, Gilbert B, Tourtier JP, Bloch-Laine E, Ecollan P, et al. Relationship between prehospital modified Charlson comorbidity index and septic shock 30-day mortality. The American Journal of Emergency Medicine. 2022; 60: 128–133.

[18] Elliott A, Taub N, Banerjee J, Aijaz F, Jones W, Teece L, et al. Does the clinical frailty scale at triage predict outcomes from emergency care for older people? Annals of Emergency Medicine. 2021; 77: 620–627.

[19] Lewis ET, Dent E, Alkhouri H, Kellett J, Williamson M, Asha S, et al. Which frailty scale for patients admitted via emergency department? A cohort study. Archives of Gerontology and Geriatrics. 2019; 80: 104–114.

[20] Ng CJ, Yen ZS, Tsai JC, Chen LC, Lin SJ, Sang YY, et al. Validation of the Taiwan triage and acuity scale: a new computerised five-level triage system. Emergency Medicine Journal. 2011; 28: 1026–1031.

[21] National Development Council of Ministry of the Interior Republic of China (Taiwan). Population estimates of the Republic of China (Taiwan, 2022 to 2070). 2022. Available at: https://ppws.ndc.gov.tw/Download.ashx?u=LzAwMS9VcGxvYWQvNDY0L3JlbGZpbGUvMTAzNDcvNTAvMTMxNmIxMGYtMzUzYS00NDk3LTk2N2YtN2M2MjA5ZjIwNzZmLnBkZg%3d%3d&n=5Lit6I%2bv5rCR5ZyL5Lq65Y%2bj5o6o5LywKDIwMjLlubToh7MyMDcw5bm0KeWgseWRii5wZGY%3d (Accessed: 03 February 2024).

[22] Zhang N, Lin QT, Jiang H, Zhu HD. Age-adjusted Charlson comorbidity index as effective predictor for in-hospital mortality of patients with cardiac arrest: a retrospective study. BMC Emergency Medicine. 2023; 23: 7.

[23] Barow E, Probst A, Pinnschmidt H, Heinze M, Jensen M, Rimmele DL, et al. Effect of comorbidity burden and polypharmacy on poor functional outcome in acute ischemic stroke. Clinical Neuroradiology. 2023; 33: 147–154.

[24] Lee J, Jung J, Lee J, Park JT, Jung C, Kim YC, et al. Recalibration and validation of the Charlson comorbidity index in acute kidney injury patients underwent continuous renal replacement therapy. Kidney Research and Clinical Practice. 2022; 41: 332–341.


Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Chemical Abstracts Service Source Index The CAS Source Index (CASSI) Search Tool is an online resource that can quickly identify or confirm journal titles and abbreviations for publications indexed by CAS since 1907, including serial and non-serial scientific and technical publications.

Index Copernicus The Index Copernicus International (ICI) Journals database’s is an international indexation database of scientific journals. It covered international scientific journals which divided into general information, contents of individual issues, detailed bibliography (references) sections for every publication, as well as full texts of publications in the form of attached files (optional). For now, there are more than 58,000 scientific journals registered at ICI.

Geneva Foundation for Medical Education and Research The Geneva Foundation for Medical Education and Research (GFMER) is a non-profit organization established in 2002 and it works in close collaboration with the World Health Organization (WHO). The overall objectives of the Foundation are to promote and develop health education and research programs.

Scopus: CiteScore 1.3 (2023) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Embase Embase (often styled EMBASE for Excerpta Medica dataBASE), produced by Elsevier, is a biomedical and pharmacological database of published literature designed to support information managers and pharmacovigilance in complying with the regulatory requirements of a licensed drug.

Submission Turnaround Time

Conferences

Top