Thesis
Absolute Lymphocyte Count and Neutrophil-to- Lymphocyte Ratio as a Prognostic Tool for COVID-19 Patients at Admission in Manado Adventist Hospital
COVID-19 pandemic has negatively governed the world, especially in the healthcare sectors. The continuous influx of patients in the hospital without any definitive treatment has become a major concern for healthcare professionals in handling COVID-19 patients. This research study aims to use absolute lymphocyte count (ALC) and neutrophil-to-lymphocyte ratio (NLR) as a prognostic tool for determining the LoS, severity, and outcome of COVID-19 patients. Based on the medical record data from March to July 2021, a retrospective study was conducted. ALC and NLR were investigated and compared to determine or predict the disease's LoS, severity, and outcome. A total of 146 patients with positive COVID-19 infection were included in the study. The mean LoS for alive patients was 13.54 (SD = 3.55) days and for expired patients was 6.20 (3.47) days. Cox regression model identified an increase in NLR (HR 0.873, Cl 95% 0.818, 0.932) and decrease in ALC (HR 1.731, Cl 95% 1.263, 2.373) as an independent risk factor for a longer time to discharge in hospital. NLR obtained the highest area under curve and Youden’s J Index with an optimal cut-off value of > 5.78 for predicting the disease severity and an optimal cut-off value of > 7.81 for predicting the expired outcome of the disease. In conclusion, NLR and ALC is considered an independent risk factor for predicting the disease's severity and length of stay. However, only NLR with an optimal cut-off value of 5.87 and 7.81 can be used as a diagnostic performance tool for predicting the severity, length of stay, and disease outcome.
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