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.

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© 2020 Khan KS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Cite as

Khan, K., El-Zanati, H. & 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. https://doi.org/10.36959/856/506

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Last updated: 17 May 2024
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