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Comparison of Lymphocyte–CRP Ratio to Conventional Inflammatory Markers for Predicting Clinical Outcomes in COVID-19

Liu, A; Hammond, R; Chan, K; Chukwuenweniwe, C; Johnson, R; Khair, D; Duck, E; Olubodun, O; Barwick, K; Banya, W; et al. Liu, A; Hammond, R; Chan, K; Chukwuenweniwe, C; Johnson, R; Khair, D; Duck, E; Olubodun, O; Barwick, K; Banya, W; Stirrup, J; Donnelly, PD; Kaski, JC; Coates, ARM (2023) Comparison of Lymphocyte–CRP Ratio to Conventional Inflammatory Markers for Predicting Clinical Outcomes in COVID-19. Journal of Personalized Medicine, 13 (6). p. 909. ISSN 2075-4426 https://doi.org/10.3390/jpm13060909
SGUL Authors: Coates, Anthony Robert Milnes

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Abstract

Background: In COVID-19 patients, lymphocyte–CRP ratio (LCR) is a promising biomarker for predicting adverse clinical outcomes. How well LCR performs compared to conventional inflammatory markers for prognosticating COVID-19 patients remains unclear, which hinders the clinical translation of this novel biomarker. Methods: In a cohort of COVID-19 inpatients, we characterised the clinical applicability of LCR by comparing its prognostic value against conventional inflammatory markers for predicting inpatient mortality and a composite of mortality, invasive/non-invasive ventilation and intensive care unit admissions. Results: Of the 413 COVID-19 patients, 100 (24%) patients suffered inpatient mortality. On Receiver Operating Characteristics analysis, LCR performed similarly to CRP for predicting mortality (AUC 0.74 vs. 0.71, p = 0.049) and the composite endpoint (AUC 0.76 vs. 0.76, p = 0.812). LCR outperformed lymphocyte counts (AUC 0.74 vs. 0.66, p = 0.002), platelet counts (AUC 0.74 vs. 0.61, p = 0.003) and white cell counts (AUC 0.74 vs. 0.54, p < 0.001) for predicting mortality. On Kaplan–Meier analysis, patients with a low LCR (below a 58 cut-off) had worse inpatient survival than patients with other LCR values (p < 0.001). Conclusion: LCR appears comparable to CRP, but outperformed other inflammatory markers, for prognosticating COVID-19 patients. Further studies are required to improve the diagnostic value of LCR to facilitate clinical translation.

Item Type: Article
Additional Information: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Journal of Personalized Medicine
ISSN: 2075-4426
Language: en
Dates:
DateEvent
1 June 2023Published
29 May 2023Published Online
26 May 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
URI: https://openaccess.sgul.ac.uk/id/eprint/115440
Publisher's version: https://doi.org/10.3390/jpm13060909

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