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    Loss of smell in COVID-19 patients: is it related to clinical-radiological disease severity?
    (MediHealth Academy Yayıncılık, 2022) Baykal, Hüsnü; Çelik, Deniz; Bulut, Sertan; Kurt, Hasret Gizem; Ülger, Ayşe Füsun
    Objective: Olfactory dysfunction (OD) is one of the most prominent predictive symptoms in the early detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) disease (COVID-19), it may be the first symptom or accompany other symptoms. The predictive value of OD is unknown in terms of the overall prognosis of COVID-19. We aimed to investigate the relationship between OD and the clinical-radiological severity of the disease. Material and Method: Data of 208 COVID-19 patients (105 inpatients and 103 outpatients) who had positive Real-Time Polymerase Chain Reaction (PCR) tests between December 1, 2020, and January 15, 2021, were collected retrospectively. Presence of OD, symptoms on admission other than OD, days of hospital stay, peripheral blood analysis values, COVID-19 disease severity [World Health Organization (WHO) 2020 “Clinical management of COVID-19”] and radiologic classifications [Radiological Society of North America Expert Consensus Statement on Reporting (RSNA) Chest CT Findings Related to COVID-19] were retrospectively collected. Results: Analysis of 208 patients revealed that there were 105 (50.48%) inpatients and 103 (49.52%) outpatients. Among 102 patients who had OD, 68 were outpatients and 34 were inpatients. It was determined that the patients with OD were mostly followed up on an outpatient basis, and they did not need hospitalization (p
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    Prediction of pulmonary intensive care unit readmissions with Stability and Workload Index for Transfer score
    (Kare Publ, 2023) Ertan, Ozlem; Celik, Deniz; Yildiz, Murat; Kurt, Hasret Gizem
    BACKGROUND AND AIM: Readmission of patients discharged from the intensive care unit (ICU) to the ICU is common and increases mortality. The Stability and Workload Index for Trans-fer (SWIFT) score is a scoring system developed and validated to predict the risk of readmission to the ICU. We evaluated the usability of this scoring system in patients with respiratory failure in a pulmonary intensive care unit (PICU). METHODS: This study was a retrospective cross-sectional study that included patients hospi-talized in the PICU between January 1, 2020, and December 31, 2020. Patients who were dis-charged to the clinic or home and readmitted in the first 7-30 days were included in the study. Patients referred to an upper-level ICU or another hospital and those who died in the hospital were excluded from the study. RESULTS: A total of 442 patients received inpatient treatment during the study period, and 421 patients were included. Eight (1.9%) patients were readmitted within the first 7 days, and 25 (5.9%) patients were readmitted within 7-30 days. There was no significant difference between the SWIFT score, Acute Physiology and Chronic Health Evaluation II (APACHE II), and modified Charlson Comorbidity Index (mCCI) scores of the readmitted patients and those who were not. We calculated the area under the curve value for the SWIFT score as 0.548 (95% CI: 0.440-0.656). CONCLUSIONS: For patients discharged from the PICU, neither the SWIFT score nor APACHE II and mCCI were not sufficient to predict readmission. This study showed that existing scoring systems is insufficient to predict the readmission of patients with respiratory failure, and there is still a need for scoring systems to predict the readmission of these patients.