key: cord-0928459-ssmn0pio authors: Farooq, Hamzah Z.; Davies, Emma; Brown, Benjamin; Whitfield, Thomas; Tilston, Peter; McEwan, Ashley; Birtles, Andrew; O'Hara, Robert; Spencer, Hannah; Hesketh, Louise; Ahmad, Shazaad; Guiver, Malcolm; Machin, Nicholas title: Real-world SARS CoV-2 Testing in Northern England during the first wave of the COVID-19 Pandemic date: 2021-04-21 journal: J Infect DOI: 10.1016/j.jinf.2021.04.013 sha: 877e2280c0e2be78afdc2d8af3c832688d862bdf doc_id: 928459 cord_uid: ssmn0pio OBJECTIVES: SARS-CoV-2 emerged in South Asia in 2019 and has resulted in a global pandemic. Public Health England (PHE) Manchester rapidly escalated testing for SARS-CoV-2 in the highest COVID-19 incidence location in England. The results of the PHE Manchester SARS-CoV-2 surveillance during the first wave are presented. METHODS: Retrospective data were collected for patients fitting the PHE SARS-CoV-2 case definition from 11th February to 31st August 2020. Respiratory tract, tissue, faecal, fluid and cerebrospinal (CSF) samples were tested for SARS-CoV-2 by a semi-quantitative real-time reverse-transcription PCR. RESULTS: Of the 204,083 tests for SARS-CoV-2, 18,011 were positive demonstrating a positivity of 8.90%. Highest positivity was in nasal swabs (20.99%) followed by broncheo-alveolar lavage samples (12.50%). None of the faecal, fluid or CSF samples received were positive for SARS-CoV-2. CONCLUSIONS: There was a high incidence of SARS-CoV-2 patients in the North-West of England during the first UK wave of the Covid-19 pandemic. Highest positivity rate was in nasal specimens suggesting this is the optimum sample type within this dataset for detecting SARS-CoV-2. Further studies are warranted to assess the utility of testing faecal, fluid and CSF samples. Rapid escalation of testing via multiple platforms was required to ensure prompt diagnosis and isolate infected cases to reduce transmission of the virus. On the 30th of December 2019, patients with an unknown aetiology of pneumonia were isolated from multiple hospitals in the city of Wuhan in China (1) . Correspondingly, a novel coronavirus was identified (2) , initially termed 2019-nCoV (3) and subsequently classified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (4) . Officially, the clinical disease was termed "COVID-19" (5) , with the clinical syndrome ranging from asymptomatic cases to respiratory failure and onto multisystem organ failure with other rare complications such as Guillain-Barre syndrome and meningoencephalitis. The virus spread rapidly, a pandemic was declared by the World Health Organization (WHO) and as of 18th December 2020, 75.1 million people have been infected with 1.67 million deaths globally (6) . The first case of SARS-CoV-2 diagnosed in the United Kingdom was diagnosed on the 27th of January 2020 (7) . As of the 18th of December 2020, 1.94 million cases have been diagnosed, 243,474 patients hospitalized with 76,287 deaths, demonstrating a diagnosed case fatality rate (CFR) of 3.9% (8). In the United Kingdom, England is the nation with the highest number of cases (1,664,511; as of 18th December 2020) with the North West of England demonstrating the highest burden with 332,086 cases, a rate of 4,523 per 100,000 population (8). The Public Health England (PHE) Manchester laboratory performs testing for SARS-CoV-2 for hospitalised patients, community outbreaks and asymptomatic staff screening in the North West of England (Pillar 1) whilst the Lighthouse laboratories performs community testing (Pillar 2) (9) . We present a detailed analysis of the results of the surveillance and diagnostic testing for SARS-CoV-2 at the PHE Manchester laboratory from the 11th of February to 31st August 2020 during the first wave of the COVID-19 pandemic in England. Consequently, we aim to describe the testing methodology required to rapidly escalate mass-testing and demonstrate the incidence of positivity in various samples types in the first UK wave of the coronavirus pandemic. From 1st February 2020 to 10th March 2020, returning travelers presenting to any hospital in the North-West region of England with respiratory symptoms from South-Asia were risk assessed for potential SARS-CoV-2 infection (10) . This was subsequently expanded on 10th March 2020 for all patients admitted with a fever, respiratory symptoms, anosmia or ageusia (10) . Initially all tests were referred to the primary PHE reference laboratory until the availability of the polymerase chain reaction (PCR) test for SARS-CoV-2. PHE Manchester commenced SARS-CoV-2 testing from 11th February 2020 for all patients fitting the aforementioned criteria. Respiratory tract, tissue, fluid, faecal and cerebrospinal (CSF) samples were tested for SARS-CoV-2 by a semi-quantitative real time reverse transcription PCR (rRT-PCR). For respiratory tract specimens, samples were either taken as naso-pharyngeal aspirates (NPA), nasal swabs (NS), sputum, throat swabs (TS), nose and throat swabs (NTS) or pleural fluids as per PHE guidelines (11) . Due to inter-operator variability in technique, "nasal swab" was allocated as the broad term for the combination of anterior nasal swabs, mid-turbinate swabs and nasopharyngeal swabs. Additionally, this was deemed necessary from a practical perspective as PHE Manchester received numerous nasal swab samples from referring laboratories throughout the UK which do not identify the type of nasal swab as this was not defined by UK PHE guidelines (11) . Samples were collected in viral transport medium (VTM) during the first wave at PHE Manchester and transported as Category B (UN3373) specimens to the laboratory (11, 12) . Multiple assays and platforms were utilized due to mass-testing requirements (Supplementary Appendix 1). Initial testing was performed using a laboratory developed RdRp assay (13) alongside a B2M human endogenous control assay. As commercial solutions became available testing was switched to a combination of the Roche 6800/8800 CobasĀ®, Cepheid Xpert and the Integrated Design Technologies (IDT) CDC assay. The Roche and Cepheid assays were performed as per manufacturer's instructions with the IDT assay being run as a single well N1, N2, B2M reaction. The IDT N gene assay was performed using either a MagNAPure 96, Qiagen MDx or QIAsymphony extraction with Thermal cycling on an LC480 II or ThermoFisher ABI 7500 Fast instrument using the manufacturers cycling parameters (Supplementary Appendix 1) (13) (14) (15) (16) . All assays utilised within the laboratory had extensive local validation to allow their use for testing of lower respiratory tract samples including sputum, BAL, NPA and tracheal aspirates in addition to the manufacturers validation of naso/oropharyngeal swabs (Supplementary Appendix 1). Due to a lack of availability of positive clinical material for faeces, tissue and CSF, these samples have not undergone a local validation and therefore were tested off-label. All reports were issued with an interpretive comment that these samples are not validated for testing and a negative result does not rule out infection. Due to the need to rapidly expand testing, all platforms and assays were utilized immediately post extensive local validation. This resulted in the sequential use of the RdRp (ceased 31st March 2020), Roche Cobas, Cepheid and IDT CDC assays with all running in parallel from 11th May 2020 after local validation and verification ( Figure 1 ). All assays were rolled out for all clinical settings, hospital departments and for community outbreaks. Data were extracted from the laboratory information management system into MS Excel. After initial screening with removal of patient duplicates, data were extracted and analysed in SPSS. Utilising SPSS and Tableau Desktop, results and figures were produced. During the study period of 11th February to 31st August 2020, PHE Manchester received 206,009 samples for 205,799 patients for SARS-CoV-2 testing. Of these, 1721 samples were deemed inappropriate (incorrect sample type such as blood, referral for other investigations); 205 were environmental and quality assurance samples and thus were removed from the primary analysis. Due to invalid results, some patient samples were tested on a secondary platform, resulting in a total of 204,083 tests for SARS-CoV-2 being performed 198,339 patients who fulfilled the criteria of SARS-CoV-2 testing under the PHE case definition algorithm ( Figure 2 and Tables 1 -2). A weekly average of 7,152 samples were sent from locations throughout the North-West of England with the majority sent from the university teaching hospitals. (Figure 2 ). Patients age ranged from 1-day to 112-years with a mean age of 51.8 and female preponderance (58.7%). COVID-positive patients ranged in age from 1-day to 104-years with a mean age of 60.50 (Figure 3) Patient demographic characteristics are shown in Table 1 . Table 2 Of these 202,413 tests, 18 (7) and one rectal swab. The highest positivity was in nasal swabs at 20.99% followed by BAL samples (12.50%) ( Table 2 ) and correspondingly had the lowest median CT-value (Figure 4) The majority of the positive nasal swabs were from hospital settings (880) followed by the community (28) . Only two nasal swabs from prison settings and one from staff testing was positive, indicating the likelihood of hospitalized and care-home patients having a higher burden of disease as upper respiratory samples are less sensitive and their positivity correspondingly indicates this (Figure 5 ) (17) (18) (19) . Figure 6) . The specimens spanned a wide range of cycle threshold values reflecting ranging viral loads (16) . The utilization of the dual-target assays (Cepheid and Cobas) assisted in reducing the risk of false-negative results associated with generic variants (Figure 6 ). Testing for SARS-CoV-2 is vital to diagnose active cases, isolate infected cases to reduce the transmission of the virus and control the COVID-19 pandemic. To further this aim, PHE Manchester expanded and expediated SARS-CoV-2 testing rapidly during the first wave with 204,083 tests performed. During the study period, 17,993 patients were diagnosed with SARS-CoV-2 at PHE Manchester demonstrating a positivity of 9.1% with sample positivity correspondingly lower at 8.90% (Table 1 and 2). This demonstrates a high burden of COVID-19 patients in the North-West of England during the first UK wave of the pandemic. The average age of referred COVID patients samples is 51.8 years however, our data show a higher mean age of COVID -positive patients (60.5 years) with the highest age of 104, corresponding with previous studies (Figure 3C ) (20) . There is no observationally significant difference between the CT values of positive patients stratified by sex (Figure 7) . From an assay perspective, the highest positivity is demonstrated by the dual-target Roche assay (9.88%). Correspondingly, the mean CT values for the Cobas Specific and Cepheid N-gene targets are 28.18 and 29.41 respectively, showing a high burden of disease (21) (22) (23) (24) (25) (26) (27) (28) (Table 3 and Supplementary Appendix 1). The utilization of the dual-target assays (Cepheid and Cobas) may assist in the future of reducing the risk of false-negative results associated with generic variants due to their range (Figure 6 ). RdRp was a single target assay with the IDT N gene utilised two targets (N1 and N2) on a single dye layer to report a single output. However, this still had the advantage of being able to minimize the risk missing positives associated with genetic variants (Figure 6) . Although, all platforms and assays were eventually utilized in parallel and rolled out for all clinical departments, there was a predilection for emergency department, surgical, paediatric, haematological and transplant use for urgent Cepheid tests. This may have slightly contributed to influence the positivity rate and sensitivity of the Cepheid platform as a proportion of this patient cohort (transplant, haematology) may have been shielding due to the UK government guidelines (29) and therefore, less likely to acquire COVID-19. A secondary finding is the high positivity of nasal swabs in this dataset with a positivity of 20.99% followed by BAL samples (12.50%). Of note is the contrasting positivity between nasal swabs and combined NTS (8.74%). This correlates with previous studies which demonstrate combined nasal and throat specimens are more sensitive for SARS-CoV-2 detection than throat specimens with a higher SARS-CoV-2 viral load (30, 31) . This is illustrated briefly by this dataset with gradually reducing positivity with increasing oral secretions by sample type (VNS>VNT>VTS) indicating the oral swab component may decreases the sensitivity of the combined swabs. However, a majority of nasal swabs were performed in hospital settings which may skew the data as these patients had more severe disease compared to asymptomatic staff testing and in prison settings. None of the faecal, fluid, or CSF specimens were positive for SARS-CoV-2. This contrasts previous studies (32) however, our sample size for non-respiratory specimens is comparatively limited. This study is a retrospective review of analysis of laboratory surveillance data with no detailed patient outcome denoting data that could not be correlated with symptoms or disease course. The total number of some sample types tested were small which may have biased the data analysis. We also compared CT values across the different assays in use for multiple sample types to demonstrate real-world data for SARS-CoV-2 testing. Further spatiotemporal studies of patients with symptoms data and consecutively collected specimens from multiple sites is merited. Additionally, further studies are warranted for same sample types tested across multiple assays in a real-world setting. There was a high incidence of SARS-CoV-2 patients in the North-West of England during the first UK wave of the COVID-19 pandemic. Rapid escalation of testing capacity by utilizing multiple platforms was required to test for multiple sample types to ensure rapid diagnosis, isolate infected cases, to reduce the transmission of the virus and control the COVID-19 pandemic. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. All authors declare they have no conflicts of interests or anything to declare. Ethical approval was not obtained as this study is an analysis of laboratory surveillance data. However, patient identifiable information was anonymized to ensure patient confidentiality during the data analysis with all positive SARS-CoV-2 cases reported via the PHE system. We wish to acknowledge the contributions of the staff of the Public Health England Manchester laboratory. Hamzah Zahid Farooq is a Specialist Registrar in Infectious diseases and Virology REQUEST FOR INFORMATION Novel coronavirus (2019-nCoV) situation reports Coronaviridae Study Group of the International Committee on Taxonomy of V. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2 WHO. Naming the coronavirus disease (COVID-19) and the virus that causes it 2020 John Hopkins University Coronavirus Resource Center Lessons for managing high-consequence infections from first COVID-19 cases in the UK. The Lancet PHE) PHE. COVID-19: laboratory investigations and sample requirements for diagnosis COVID-19: safe handling and processing for samples in laboratories Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin Molecular Controls First WHO International Standard for SARS-CoV-2 RNA 2021 SARS CoV-2 Detection From Upper and Lower Respiratory Tract Specimens: Diagnostic and Infection Control Implications SARS-CoV-2-Positive Sputum and Feces After Conversion of Pharyngeal Samples in Patients With COVID-19 Laboratory Diagnosis and Monitoring the Viral Shedding of SARS-CoV-2 Infection. The Innovation Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study Is Higher Viral Load in SARS-CoV-2 Associated with Death? Use of lateral flow devices allows rapid triage of patients with SARS-CoV-2 on admission to hospital Quantitative Polymerase Chain Reaction-Positives Samples and Positive Cell Cultures Severe Acute Respiratory Syndrome Coronavirus 2 Isolates. Clinical Infectious Diseases Predicting Infectious Severe Acute Respiratory Syndrome Coronavirus 2 From Diagnostic Samples Comparison and correlation of commercial SARS-CoV-2 real-time-PCR assays Comparative performance of SARS-CoV-2 real-time PCR diagnostic assays on samples from Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets Understanding cycle threshold (Ct) in SARS-CoV-2 RT-PCR Service) NNH. Risk criteria -Shielded Patient List Nasopharyngeal Swabs Are More Sensitive Than Oropharyngeal Swabs for COVID-19 Diagnosis and Monitoring the SARS-CoV-2 Load SARS-CoV-2 detection in different respiratory sites: A systematic review and meta-analysis Detection of SARS-CoV-2 in Different Types of Clinical Specimens