Can age adjusted Charlson comorbidity index predict prognosis in hospitalised COVID-19 patients?

Khan, K. S. , El-Zanati, H. and Mahmud, S. (2020) Can age adjusted Charlson comorbidity index predict prognosis in hospitalised COVID-19 patients? Annals of Public Health Reports, 4(1), pp. 115-121. (doi: 10.36959/856/506)

Abstract

Background: Age adjusted Charlson comorbidity index (ACCI) has previously shown to predict outcome in wide range of diseases. We aim to assess if ACCI can predict 30-day all-cause mortality and need for critical care in COVID-19 patients. Methods: Prospective cohort study of hospitalised patients with confirmed COVID-19 in three acute hospitals. Patients were divided into two groups based on ACCI: Low ACCI (0-4) and high ACCI (≥ 5). Electronic case notes were analysed and results were compared. Results: 173 patients were identified, 108 (62.4%) were males, mean age was 68.4 ± 14.6 years. Median ACCI was 4 (range 0-11). 108 (62.4%) patients were in low ACCI. High ACCI had more ≥ 71 years-old patients (30.6% vs. 81.5%, p < 0.001). Low ACCI had more patients with normal renal function (78.7% vs. 44.6%, p < 0.001) and more likely to present with COVID-19 symptoms (87.0% vs. 56.9%, p < 0.001).More patients in low ACCI were transferred to critical care (42.6% vs. 3.1%, p < 0.001) and intubated (30.6% vs. 1.5%, p < 0.001). However, 30-day all-cause mortality and overall poor outcome was similar in both groups, (15.7% vs. 23.1%, p = 0.229 and 35.2% vs. 24.6%, p = 0.146, respectively). Conclusion: The outcome in COVID-19 hospitalised patients cannot be reliably predicted by ACCI.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Khan, Mr Khurram
• Authors: Khan, K. S., El-Zanati, H., and Mahmud, S.
• College/School: College of Medical Veterinary and Life Sciences > School of Cancer Sciences; College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
• Journal Name: Annals of Public Health Reports
• Publisher: Scholars.Direct
• ISSN: 2642-4924
• ISSN (Online): 2642-4924
• Published Online: 30 November 2020
• Copyright Holders: Copyright © 2020 Khan KS, et al.
• First Published: First published in Annals of Public Health Reports 4(1):115-121
• Publisher Policy: Reproduced under a Creative Commons license