Diagnostic accuracy of screening tests for patients suspected of COVID-19, a retrospective cohort study

Abstract Background The diagnostic gold standard for Coronavirus-2019 disease (CoViD-19) is reverse transcriptase-polymerase chain reaction (RT-PCR). However, its sensitivity might be suboptimal. The current study aims to investigate predictive factors for false-negative nasopharyngeal RT-PCR in CoViD-19 patients. Additionally, the specificity and sensitivity of RT-PCR on the nasopharyngeal swab, serology and chest computerized-tomography (CCT) as a screening tool for the diagnosis of CoViD-19 were investigated. Methods Medical records of patients admitted at the university hospital UZ Brussel during the CoViD-19 epidemic were reviewed. A group of CoViD-19 patients with false-negative RT-PCR was identified through scrupulous examination of medical records. Serological testing was performed through chemiluminescent microparticle assay. Results Eighteen CoViD-19 patients with ‘false negative’ RT-PCR were identified and compared to 51 ‘true positives’. Logistic regression for prediction of ‘false negative’ RT-PCR found significantly higher serology results at hospitalization and more intensive care unit admission in the group with false-negative testing. In a cohort of 228 patients, the sensitivity of RT-PCR for the diagnosis of CoViD-19 was 85%. The sensitivity of serology was 86% and its specificity 92%. Chest computerized-tomography (CCT) showed a sensitivity of 93%, its specificity was 62%. By combining RT-PCR and serology results any ‘false negative’ could be excluded. Conclusions In this cohort, the sensitivity and specificity of RT-PCR and serology for the diagnosis of CoViD-19 were high and comparable. CCT had the highest sensitivity and confirmed its efficacy as a screening tool. CoViD-19 patients, who have a more severe presentation, might have negative RT-PCR and positive serology results.

[1]  M. Malbrain,et al.  Ventilator-associated bacterial pneumonia in coronavirus 2019 disease, a retrospective monocentric cohort study , 2021, Journal of Infection and Chemotherapy.

[2]  Jérémie F. Cohen,et al.  THORACIC IMAGING TESTS FOR THE DIAGNOSIS OF COVID-19 , 2020, The Cochrane database of systematic reviews.

[3]  W. Figg,et al.  COVID‐19 Clinical Diagnostics and Testing Technology , 2020, Pharmacotherapy.

[4]  Gilbert GREUB,et al.  Diagnostic strategies for SARS-CoV-2 infection and interpretation of microbiological results , 2020, Clinical Microbiology and Infection.

[5]  Jennifer L. Bell,et al.  Effect of Dexamethasone in Hospitalized Patients with COVID-19: Preliminary Report , 2020, medRxiv.

[6]  S. Romagnoli,et al.  SARS-CoV-2 and COVID-19: From the Bench to the Bedside , 2020, Physiological Reviews.

[7]  T. Henry,et al.  Diagnostic Tools for Coronavirus Disease (COVID-19): Comparing CT and RT-PCR Viral Nucleic Acid Testing. , 2020, AJR. American journal of roentgenology.

[8]  H. Rogers,et al.  COVID‐19 and the clinical hematology laboratory , 2020, International journal of laboratory hematology.

[9]  Yiyan Song,et al.  Stability issues of RT‐PCR testing of SARS‐CoV‐2 for hospitalized patients clinically diagnosed with COVID‐19 , 2020, Journal of medical virology.

[10]  Qi Jin,et al.  Profiling Early Humoral Response to Diagnose Novel Coronavirus Disease (COVID-19) , 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[11]  Yuyi Wang,et al.  Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures , 2020, Journal of medical virology.

[12]  Lei Liu,et al.  Antibody responses to SARS-CoV-2 in patients of novel coronavirus disease 2019 , 2020, medRxiv.

[13]  Long Jiang Zhang,et al.  Coronavirus Disease 2019 (COVID-19): A Perspective from China , 2020, Radiology.

[14]  Andrea Benedetti,et al.  Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis , 2020, BMJ.

[15]  Yuxin Chen,et al.  Different longitudinal patterns of nucleic acid and serology testing results based on disease severity of COVID-19 patients , 2020, Emerging microbes & infections.

[16]  Bing Li,et al.  Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. , 2011, American journal of epidemiology.