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Int J Clin Pract ; 75(4): e13698, 2021 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-32892477

RESUMO

AIM: To determine the efficacy of neutrophil/lymphocyte ratio (NLR) as a marker of the severity of COVID-19 pneumonia in the South-Asian population. METHODS: This was a prospective, cross-sectional, analytic study conducted at HDU/ICU of District Headquarter Hospital, Faisalabad, Pakistan, from May through July 2020. Sixty-three eligible patients, admitted to the HDU/ICU, were prospectively enrolled in the study. Their NLR, C-reactive protein, serum albumin and serum fibrinogen were measured. Patients' demographic characteristics, comorbidities, clinical manifestations of COVID-19 infection, medication use and history of lung malignancy were retrieved from their medical history. Patients were categorised into either a general group (with mild COVID-19) or a heavy group (with moderate to severe COVID-19). RESULTS: There were significant differences between the two groups in diabetes prevalence, NLR, C-reactive protein and serum albumin. NLR and C-reactive protein were positively correlated (P < .001, P = .04, respectively) whereas serum albumin was negatively correlated (P = .009) with severe COVID-19. NLR was found to be an independent risk factor for severe COVID-19 pneumonia in the heavy group (OR = 1.264, 95% CI: 1.046~1.526, P = .015). The calculated AUC using ROC for NLR was 0.831, with an optimal limit of 4.795, sensitivity of 0.83 and specificity of 0.75, which is highly suggestive of NLR being a marker for the early detection of deteriorating severe COVID-19 infection. CONCLUSION: NLR can be used as an early warning signal for deteriorating severe COVID-19 infection and can provide an objective basis for early identification and management of severe COVID-19 pneumonia.


Assuntos
COVID-19 , Linfócitos , Neutrófilos , COVID-19/imunologia , COVID-19/mortalidade , Estudos Transversais , Humanos , Paquistão , Pneumonia Viral/mortalidade , Prognóstico , Estudos Prospectivos , Estudos Retrospectivos , SARS-CoV-2 , Índice de Gravidade de Doença
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