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. 2021 Nov;42(11):1223-1228.
doi: 10.15537/smj.2021.42.11.20210485.

Predictive value of platelet to lymphocyte ratio and neutrophil to lymphocyte ratio in evaluating both lung involvement and severity of patients with coronavirus disease 2019

Affiliations

Predictive value of platelet to lymphocyte ratio and neutrophil to lymphocyte ratio in evaluating both lung involvement and severity of patients with coronavirus disease 2019

Yusuf Aksu et al. Saudi Med J. 2021 Nov.

Abstract

Objectives: To investigate the relationship of the neutrophil lymphocyte ratio (NLR) and the platelet lymphocyte ratio (PLR) with lung involvement and total lung severity score (TLSS) in computed tomography (CT) of patients with coronavirus disease -19 (COVID-19) and to evaluate their clinical usability.

Methods: Basic laboratory, clinical features and imaging data of patients was obtained by examining the file and archive records of our hospital. According to the findings of lung CT scan at the time of diagnosis among COVID-19 patients, 2 groups were formed.

Results: The NLR was 2.22±11.15 and the PLR was 142.77±387.10 in patients with COVID-19 pneumonia. The NLR was 1.88±7.47 and the PLR was 130.65±203.6 8 in patients without COVID-19 pneumonia. The differences in the NLR and the PLR were determined to be statistically significant between the 2 groups. A positive correlation was observed between NLR and PLR (r=0.225, p=0.010) and TLSS (r=0.244, p=0.005).

Conclusion: This study showed that the NLR and PLR values can be 2 inflammatory markers that can be used to evaluate lung involvement and disease severity in COVID-19 patients. At the time of initial diagnosis and during follow-up, these markers can give an idea in terms of prognosis, together with other clinical findings and markers.

Keywords: COVID-19 pneumonia; NLR; PLR; total lung severity score.

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Figures

Figure 1
Figure 1
- Receiver-operating characteristic curve of neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) for predicting patients with lung involvement of coronavirus disease -19 (COVID-19) in in the study population. AUC: area under the curve, CI: confidence interval

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