Niaina Rakotosamimanana1, Frédérique Randrianirina2, Rindra Randremanana3, Mamy S Raherison4, Voahangy Rasolofo5, Gaetan D Solofomalala6, André Spiegel5, Jean-Michel Heraud7. 1. Mycobacteria Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar. 2. Centre de Biologie Clinique, Institut Pasteur de Madagascar, Antananarivo, Madagascar. 3. Epidemiology and Clinical Research Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar. 4. Mycobacteria Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar; National Laboratory for Mycobacteria, National Tuberculosis Control Program, Antananarivo, Madagascar. 5. Scientific Direction, Institut Pasteur de Madagascar, Antananarivo, Madagascar. 6. Ministry of Public Health, Antananarivo, Madagascar. 7. Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar; Fondation Institut Pasteur de Dakar, Dakar, Senegal. Electronic address: jean-michel.heraud@pasteur.fr.
Since theemergence of theCOVID-19 pandemic, caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), most countries were struggling with early detection of SARS-CoV-2 and subsequent rapid case management and contact tracing. Inadequate access to diagnostic testing and health-care facilities, which is particularly pronounced in resource-poor settings such as Madagascar, is substantially impeding COVID-19 control efforts. In this low-income country, approximately 12 million people (over half of the population) live in rural areas with poor access to primary health services and even less access to specific diagnostic services, such as SARS-CoV-2 testing. Only 60–70% of people living in Madagascar have access to any health facilities. There are 1·6 physicians per 10 000 individuals and diagnostic laboratories are scarce and under-equipped; therefore, many patients have inaccurate diagnoses and, in some cases, inappropriate treatment.In 2012, the GeneXpert MTB/RIF molecular platform (Xpert; Cepheid, Sunnyvale, CA, USA) was used in Madagascar to upscale the capacity for tuberculosis diagnostic testing. In response to theCOVID-19 pandemic, multiple RT-PCR assays, including the Cepheid Xpert Xpress SARS-CoV-2, have received authorisation for emergency use from the US Food and Drug Administration. This 50 min RT-PCR-based assay detects the pan-sarbecovirus E gene and theN2 region of theN gene as its SARS-CoV-2-specific target.Before implementing the Xpert Xpress SARS-CoV-2 assay in Madagascar at national level, weevaluated its diagnostic accuracy by comparing it with the Detection Kit for 2019 Novel Coronavirus (2019-nCoV) RNA (Da An Gene; Sun Yat-sen University, Ghangzhou, China), a product of the WHO Emergency Use Listing for in vitro diagnostics that detect SARS-CoV-2 nucleic acid. We tested 40 nasopharyngeal specimens that were previously confirmed as positive (n=20) or negative (n=20) using theDa An Gene assay, on the GeneXpert platform using the Xpert Xpress SARS-CoV-2 assay. We found that the sensitivity of the Xpert Xpress SARS-CoV-2 assay was 100% (20 of 20) and the specificity was 80% (16 of 20). When looking at the cycle threshold (Ct) values from the GeneXpert assay we observed that specimens with no amplification of theE gene (ie, Ct=0) and Ct values for theN2 gene greater than 40 cycles were considered as positives, whereas they werenegative using the other RT-PCR system (Da An Gene). These differences could be due to different limits-of-detection of the two assays but we found that positive specimens showed similar Ct values individually, which is in favour of similar analytical sensitivity.With the tools available it is difficult to address the question on whether these specimens are truenegative samples or low-positive samples with residual viral particles. Nevertheless, this automatic interpretation of the results by the GeneXpert software might lead to high numbers of false positives with a lower positive predictive value. These false positive results will unnecessarily overload health systems. To minimise these potential false positives, we have developed and are proposing a new user-guide to interpret the results (appendix). On the basis of this guide, we observed that the sensitivity and specificity of the GeneXpert assay for SARS-CoV-2 compared with theDa An Gene assay wereeach 100%. It is to be noted that the arbitrary cut-off established at 40 cycles does not affect the sensitivity of the test or increase the risk of getting a falsenegative result.The use of already deployed technologies, such as the GeneXpert MTB/RIF platform, requires a minimum number of trained staff and less infrastructure and equipment when compared with classic real-time PCR. Following theneed to provideCOVID-19 diagnoses in different peripheral locations and the testing accuracy results found in our laboratory, the Ministry of Public Health of Madagascar has decided to use theexisting GeneXpert system. Preliminary field data showed that between July 5 and July 28, 2020, a total of 2733 specimens from 15 different regions have been tested, of which 877 (32·1%) were found positive for SARS-CoV-2. The use of the GeneXpert MTB/RIF platform for theearly detection of theSARS-CoV-2 is of great public health interest because it gives a prompt response and can inform allocation of resources for where they are most urgently needed. Theexample of Madagascar shows that optimising the use of the GeneXpert MTB/RIF platform for the surveillance of SARS-CoV-2 in low-income and middle-income countries is relevant and achievable and should be considered in settings with difficult access to laboratories and an already existing GeneXpert MTB/RIFnetwork.
Authors: Florian Marks; Nathalie Rabehanta; Stephen Baker; Ursula Panzner; Se Eun Park; Julius N Fobil; Christian G Meyer; Raphaël Rakotozandrindrainy Journal: Clin Infect Dis Date: 2016-03-15 Impact factor: 9.079
Authors: Michael J Loeffelholz; David Alland; Susan M Butler-Wu; Utsav Pandey; Carlo Frederico Perno; Alice Nava; Karen C Carroll; Heba Mostafa; Emma Davies; Ashley McEwan; Jennifer L Rakeman; Randal C Fowler; Jean-Michel Pawlotsky; Slim Fourati; Sukalyani Banik; Padmapriya P Banada; Shobha Swaminathan; Soumitesh Chakravorty; Robert W Kwiatkowski; Victor C Chu; JoAnn Kop; Rajiv Gaur; Mandy L Y Sin; Duy Nguyen; Simranjit Singh; Na Zhang; David H Persing Journal: J Clin Microbiol Date: 2020-07-23 Impact factor: 5.948