Original Article

Performance of Charlson and Elixhauser Comorbidity Index to Predict in-Hospital Mortality in Patients with Stroke in Sumadija and Western Serbia

Abstract

Background: Comorbidities are major predictors of in-hospital mortality in stroke patients. The Charlson comorbidity index (CCI) and the Elikhauser comorbidity index (ECI) are scoring systems for classifying comorbidities. We aimed to compare the performance of the CCI and ECI to predict in-hospital mortality in stroke patients.

Methods: We included patients hospitalized for stroke in the Clinical Center of Kragujevac, Serbia for the last 7 years. Hospitalizations caused by stroke, were identified by the International Classification of Diseases-10 (ICD-10) codes I60.0 - I69.9. All patients were divided into two cohorts: Alive cohort (n=3297) and Mortality cohort (n=978).

Results: There were significant associations between higher CCIS and increased risk of in-hospital mortality (HR = 1.07, 95% CI = 1.01–1.12) and between higher ECIS and increased risk of in-hospital mortality (HR = 1.04, 95% CI = 0.99–1.09). Almost 2/3 patients (66.9%) had comorbidities included in the CCI score and 1/3 patients (30.2%) had comorbidities included in the ECI score. The statistically significant higher CCI score (t = -3.88, df = 1017.96, P <0.01) and ECI score (t = -6.7, df = 1447.32, P <0.01) was in the mortality cohort.

Area Under the Curve for ECI score was 0.606 and for CCI score was 0.549.

Conclusion: Both, the CCI and the ECI can be used as scoring systems for classifying comorbidities in the administrative databases, but the model’s ECI Score had a better discriminative performance of in-hospital mortality in the stroke patients than the CCI Score model.

1. Yousufuddin M, Young N (2019). Aging and ischemic stroke. Aging (Albany NY), 11(9): 2542–2544.
2. Virani S, Alonso A, Benjamin EJ, et al (2020). Heart Disease and Stroke Statistics—2020 Update: A Re-port from the American Heart Association. Circula-tion, 141(9):e139-e596.
3. Ilic I, Ilic M, Sipetic Grujicic S (2019). Trends in cerebro-vascular diseases mortality in Serbia, 1997–2016: a nationwide descriptive study. BMJ Open, 9(2): e024417.
4. Gallacher KI, Jani BD, Hanlon P, et al (2019). Multi-morbidity in Stroke. Stroke, 50(7):1919-1926.
5. Ofori-Asenso R, Zomer E, Chin KL, et al (2018). Effect of Comorbidity Assessed by the Charlson Comorbid-ity Index on the Length of Stay, Costs and Mortality among Older Adults Hospitalised for Acute Stroke. Int J Environ Res Public Health, 15(11): 2532.
6. Rashid M, Kwok CS, Gale CP, et al (2017). Impact of co-morbid burden on mortality in patients with coro-nary heart disease, heart failure, and cerebrovascular accident: A systematic review and meta-analysis. Eur Heart J Qual Care Clin Outcomes, 3: 20–36.
7. Chang HJ, Chen PC, Yang CC, et al (2016). Comparison of Elixhauser and Charlson Methods for Predicting Oral Cancer Survival. Medicine (Baltimore), 95(7): e2861.
8. Tsai KY, Hsieh KY, Ou SY, et al (2020). Comparison of Elixhauser and Charlson Methods for Discriminative Performance in Mortality Risk in Patients with Schiz-ophrenic Disorders. Int J Environ Res Public Health, 17(7): 2450.
9. Hall RE, Porter J, Quan H, et al (2019). Developing an adapted Charlson comorbidity index for ischemic stroke outcome studies. BMC Health Services Research, 19: 930.
10. Magwood GS, White BM, Ellis C (2017). Stroke-Related Disease Comorbidity and Secondary Stroke Preven-tion Practices Among Young Stroke Survivors. J Neurosci Nurs, 9(5): 296-301.
11. Paker N, Buğdayc D, Gökşenoğlu G, et al (2017). Comorbidity in a group of vascular stroke patients and the reliability of the cumulative illness rating scale. Turk J Phys Med Rehab, 63(1): 9-13.
12. Kitzman PH, Sutton KM, Wolfe M, et al (2019). The Prevalence of Multiple Comorbidities in Stroke Sur-vivors in Rural Appalachia and the Clinical Care Im-plications. J Stroke Cerebrovasc Dis, 28(11): 104358.
13. McCann SK, Lawrence CB (2020). Comorbidity and age in the modelling of stroke: are we still failing to consider the characteristics of stroke patients? BMJ Open Science, 4: e100013.
14. Kang JH, Bae HJ, Choi YA, et al (2016). Length of Hospital Stay After Stroke: A Korean Nationwide Study. Ann Rehabil Med, 40(4): 675–681.
15. Yousufuddin M, Young N, Keenan L, et al (2017). Ef-fect of early hospital readmission and comorbid con-ditions on subsequent long‐term mortality after tran-sient ischemic attack. Brain Behav, 7(12): e00865.
16. Ong CT, Sung SF, Wong YS, et al (2016). Risk Factors for In-Hospital Mortality among Ischemic Stroke Pa-tients in Southern Taiwan. International Journal of Geron-tology, 10(2): 86-90.
17. Gebreyohannes EA, Bhagavathula AS, Abebe TB, et al (2019). In-Hospital Mortality among Ischemic Stroke Patients in Gondar University Hospital: A Retrospec-tive Cohort Study. Stroke Res Treat, 2019: 7275063.
18. Luengo-Fernandez R, Violato M, Candio P, et al (2020). Economic burden of stroke across Europe: A popu-lation-based cost analysis. Eur Stroke J, 5(1): 17–25.
19. Gruneir A, Griffith LE, Fisher K, et al (2016). Increasing comorbidity and health services utilization in older adults with prior stroke. Neurology, 87(20):2091-2098.
Files
IssueVol 50 No 5 (2021) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/ijph.v50i5.6114
Keywords
Stroke In-hospital mortality Charlson comorbidity index Elixhauser comorbidity index

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Bajic B, Galic I, Mihailovic N, Ristic S, Radevic S, Iric Cupic V, Kocic S, Arnaut A. Performance of Charlson and Elixhauser Comorbidity Index to Predict in-Hospital Mortality in Patients with Stroke in Sumadija and Western Serbia. Iran J Public Health. 2021;50(5):970-977.