Background: COVID-19 clinical presentation is usually non-specific and includes commonly encountered symptoms like fever, cough, nausea, and vomiting. It has been reported that COVID-19 patients can potentially transmit the disease to others before developing symptoms. Thus, extensive surveillance and screening of individuals at risk of the disease is required to limit SARS-COV-2 spread. The COVID-19 respiratory triage score has been used for patient screening. We aimed to determine its diagnostic performance characteristics, which have not been adequately studied before. Methodology: This is a retrospective observational study involving all patients screened for COVID-19 at a tertiary care facility. Patients were tested using nasopharyngeal swab for SARS-COV-2 PCR. The Saudi CDC COVID-19 respiratory triage score was measured for all subjects. The sensitivity, specificity, positive predictive value, and negative predicted value of COVID-19 respiratory triage score were measured with reference to SARS-COV-2 PCR test. Multivariate regression analysis was done to identify factors that can predict a positive SARS-COV-2 PCR test. Result: A total of 1,435 subjects were included. The COVID-19 respiratory triage score provided a marginal diagnostic performance with a receiver-operating characteristics (ROC) area under the curve value of 0.60 (95% CI: 0.57-0.64). A triage score of 5 provided the best cut-off value for the combined sensitivity and specificity. Clinical characteristics that independently predicted positive COVID-19 PCR test include male sex (adjusted OR: 1.47; p = 0.034), healthcare workers and their family members (adjusted OR: 1.99; 95%; p = 0.016), fever (adjusted OR: 2.98; p < 0.001), and moderate disease severity (adjusted OR: 5; p < 0.001). Conclusion: The current COVID-19 respiratory triage score has marginal diagnostic performance characteristics. Its performance can improve by including additional predictors to the respiratory symptoms in order to avoid missing COVID-19 patients with atypical presentation and to limit unnecessary SARS-COV-2 PCR testing.
Background: COVID-19 clinical presentation is usually non-specific and includes commonly encountered symptoms like fever, cough, nausea, and vomiting. It has been reported that COVID-19patients can potentially transmit the disease to others before developing symptoms. Thus, extensive surveillance and screening of individuals at risk of the disease is required to limit SARS-COV-2 spread. The COVID-19 respiratory triage score has been used for patient screening. We aimed to determine its diagnostic performance characteristics, which have not been adequately studied before. Methodology: This is a retrospective observational study involving all patients screened for COVID-19 at a tertiary care facility. Patients were tested using nasopharyngeal swab for SARS-COV-2 PCR. The Saudi CDC COVID-19 respiratory triage score was measured for all subjects. The sensitivity, specificity, positive predictive value, and negative predicted value of COVID-19 respiratory triage score were measured with reference to SARS-COV-2 PCR test. Multivariate regression analysis was done to identify factors that can predict a positive SARS-COV-2 PCR test. Result: A total of 1,435 subjects were included. The COVID-19 respiratory triage score provided a marginal diagnostic performance with a receiver-operating characteristics (ROC) area under the curve value of 0.60 (95% CI: 0.57-0.64). A triage score of 5 provided the best cut-off value for the combined sensitivity and specificity. Clinical characteristics that independently predicted positive COVID-19 PCR test include male sex (adjusted OR: 1.47; p = 0.034), healthcare workers and their family members (adjusted OR: 1.99; 95%; p = 0.016), fever (adjusted OR: 2.98; p < 0.001), and moderate disease severity (adjusted OR: 5; p < 0.001). Conclusion: The current COVID-19 respiratory triage score has marginal diagnostic performance characteristics. Its performance can improve by including additional predictors to the respiratory symptoms in order to avoid missing COVID-19patients with atypical presentation and to limit unnecessary SARS-COV-2 PCR testing.
Authors: Achraf Ammar; Hamdi Chtourou; Omar Boukhris; Khaled Trabelsi; Liwa Masmoudi; Michael Brach; Bassem Bouaziz; Ellen Bentlage; Daniella How; Mona Ahmed; Patrick Mueller; Notger Mueller; Hsen Hsouna; Asma Aloui; Omar Hammouda; Laisa Liane Paineiras-Domingos; Annemarie Braakman-Jansen; Christian Wrede; Sophia Bastoni; Carlos Soares Pernambuco; Leonardo Mataruna; Morteza Taheri; Khadijeh Irandoust; Aïmen Khacharem; Nicola L Bragazzi; Jana Strahler; Jad Adrian Washif; Albina Andreeva; Samira C Khoshnami; Evangelia Samara; Vasiliki Zisi; Parasanth Sankar; Waseem N Ahmed; Mohamed Romdhani; Jan Delhey; Stephen J Bailey; Nicholas T Bott; Faiez Gargouri; Lotfi Chaari; Hadj Batatia; Gamal Mohamed Ali; Osama Abdelkarim; Mohamed Jarraya; Kais El Abed; Nizar Souissi; Lisette Van Gemert-Pijnen; Bryan L Riemann; Laurel Riemann; Wassim Moalla; Jonathan Gómez-Raja; Monique Epstein; Robbert Sanderman; Sebastian Schulz; Achim Jerg; Ramzi Al-Horani; Taiysir Mansi; Mohamed Jmail; Fernando Barbosa; Fernando Ferreira-Santos; Boštjan Šimunič; Rado Pišot; Saša Pišot; Andrea Gaggioli; Piotr Zmijewski; Christian Apfelbacher; Jürgen Steinacker; Helmi Ben Saad; Jordan M Glenn; Karim Chamari; Tarak Driss; Anita Hoekelmann Journal: Int J Environ Res Public Health Date: 2020-08-27 Impact factor: 3.390
Authors: Ellen Bentlage; Achraf Ammar; Daniella How; Mona Ahmed; Khaled Trabelsi; Hamdi Chtourou; Michael Brach Journal: Int J Environ Res Public Health Date: 2020-08-28 Impact factor: 3.390