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    Development of a safety protocol for training and using SARS-CoV-2 detection dogs: A pilot study
    (Elsevier Inc., 2023) Demirbaş, Yasemin Salgırlı; Kısmalı, Görkem; Saral, Begüm; Sareyyüpoğlu, Barış; Habiloğlu, Arif Doğan; Öztürk, Hakan; Baş, Bülent
    Medical detection dogs have potential to be used to screen asymptomatic patients in crowded areas at risk of epidemics such as the SARS-CoV-2 pandemic. However, the fact that SARS-CoV-2 detection dogs are in direct contact with infected people or materials raises important concerns due to the zoonotic potential of the virus. No study has yet recommended a safety protocol to ensure the health of SARS- CoV-2 detection dogs during training and working in public areas. This study sought to identify suitable decontamination methods to obtain nonpathogenic face mask samples while working with SARS-CoV-2 detection dogs and to investigate whether dogs were able to adapt themselves to other decontamination procedures once they were trained for a specific odor. The present study was designed as a four-phase study: (a) Method development, (b) Testing of decon- tamination methods, (c) Testing of training methodology, and (d) Real life scenario. Surgical face masks were used as scent samples. In total, 3 dogs were trained. The practical use of 3 different decontam- ination procedures (storage, heating, and UV-C light) while training SARS-CoV-2 detection dogs were tested. The dog trained for the task alerted to the samples inactivated by the storage method with a sensitivity of100 % and specificity of 98.28 %. In the last phase of this study, one dog of 2 dogs trained, alerted to the samples inactivated by the UV-C light with a sensitivity of 91.30% and specificity of 97.16% while the other dog detected the sample with a sensitivity of 96.00% and specificity of 97.65 %. © 2023 Elsevier Inc.
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    Evaluation of the Relationship Between Disease Severity and Viral Cycle Threshold Value in COVID-19 Patients
    (DOC Design and Informatics Co. Ltd., 2022) Habiloğlu, Arif Doğan; Öztürk, Cihadiye Elif; Özel, Mehmet Ali; Demircan, Serkan; Uludoğan, Burcu Ceren; Memiş, Nagihan; Ataoğlu, Özlem
    Objective: There is a positive and significant relationship between severity and viral load in some viral diseases. Studies on the relationship between SARS-CoV-2 viral load at diagnosis and severity of coronavirus disease-2019 (COVID-19) have yielded conflicting results. Therefore, we aimed to evaluate the relationship between viral load and the clinical status of patients with COVID-19. Methods: Data of the patients diagnosed with COVID-19 and admitted to our center between May 01 and June 31, 2020, were retrospectively reviewed. The patients were divided into two groups according to their clinical characteristics as mild-moderate and severe. The demographic, laboratory, clinical, and radiological data were retrieved from electronic folders. Results: The entire cohort included 285 patients; 254 had a mild-moderate clinical course, and 31 had a severe course. Statistical analyses revealed that SARS-CoV-2 viral load was not associated with symptom duration and clinical status (p>0.05). According to multivariate logistic regression analysis, only ferritin, C-reactive protein, and lactate dehydro-genase elevations were positively correlated with severe clinical course. (p<0.05). Conclusion: We do not recommend using viral load to predict disease severity in COVID-19. We also found that only ferritin, C-reactive protein, and lactate dehydrogenase accompanied severe clinical course. © 2022, DOC Design and Informatics Co. Ltd.. All rights reserved.