RESUMO
Aim: This study aims to determine the prognostic value of the Glasgow Prognostic Score (GPS) and fibrinogen to albumin ratio (FAR) in patients with COVID-19.Methods: Electronic database records of 400 patients with COVID-19 were retrospectively analyzed and the initial levels of CRP, albumin, fibrinogen values were recorded. The ground-glass opacities (GGO) and consolidations were evaluated on thorax CT. Hospital mortality and the need for intensive care unit (ICU) transfer were determined as adverse outcomes.Results: It was determined that 345 patients (86.25%) were discharged while 31 patients (7.75%) were transferred to ICU in addition to 24 patients who died (6%). The rates of deaths and transfers to ICU were significantly increased in GPS 2 group compared to both GPS 0 and 1 groups. Additionally, increased FAR was observed in patients who died and transferred to ICU compared to the discharged patients. The FAR was significantly increased in patients with diffuse GGO. Logistic regression analysis indicated that FAR ≥144.59 and the presence of GPS 2 were independent predictors of the adverse outcomes in COVID-19 patients.Conclusion: Our results demonstrated that the GPS and FAR could possess a predictive value for adverse outcomes in patients with COVID-19.
Assuntos
COVID-19 , Albuminas , Fibrinogênio , Humanos , Prognóstico , Estudos Retrospectivos , SARS-CoV-2RESUMO
Aim: To determine the prognostic value of Glasgow Prognostic Score (GPS) in acute exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) requiring hospitalization.Methods: Hospital electronic database of 129 patients with AECOPD was retrospectively searched and CRP levels, complete blood count, arterial blood gas (ABG) values and pulmonary function test (PFT) parameters of patients were recorded. Hospital mortality and need for ICU transfer were determined as adverse outcomes from files of cases.Results: 106 of 129 patients were male (82.2%) and rest of them were female (17.8%). GPS 0 was not observed in any patient, GPS 1 was observed in 101 patients, and GPS 2 was observed in 28 patients. The rate of adverse outcomes (ICU/Ex) was significantly increased in the GPS 2 group when compared to the GPS 1 group (X2:7.631, p < 0.01). Logistic regression analysis indicated that pH≤7.35 (p < 0.05, OR: 5.65, CI: 1.35-23.58%) and GPS 2 score (p < 0.05, OR: 5.52, CI: 1.45-20.97%) were independent predictors for adverse outcomes for AECOPD.Conclusion: Our results demonstrate that the GPS may have predictive value for adverse outcomes in patients with AECOPD.