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Authors’ response
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This article was originally published by Wolters Kluwer - Medknow and was migrated to Scientific Scholar after the change of Publisher.
We appreciate Gouda and Goudra1 for critical reading of our article2 and thank them for raising the issue of COVID-19 diagnosis. It has been correctly pointed out that the RT-PCR cannot diagnose all cases of SARS-CoV-2 infection. As a chest computed tomography (CT) may detect changes before PCR positivity in some cases and therefore, has the potential to serve as a valuable adjunct diagnostic tool, the non-specific nature of such changes in a low prevalence setting is destined to have a low positive predictive value. Investigation of the passengers on cruise ship Diamond Princess (cruise number M003 with cases of pneumonia-like illness) is worth considering in this context, where it was observed that 61 per cent of the cases had lung opacities and 20 per cent of symptomatic patients had negative CT scans3. In brief, chest CT may supplement, but does not substitute RT-PCR for the diagnosis of COVID-194.
In unknown disease outbreak situation or newly recognized clusters of symptomatic cases, different case definitions are used for different purposes, such as disease surveillance, clinical management or drug trials. Likewise, for COVID-19, case definitions have included suspected cases, probable cases and confirmed cases. Moreover, case definitions may vary between countries and may even change from time to time in the same country. The database we used for our study was originally developed to track laboratory-confirmed COVID-19 cases out of the symptomatic healthcare workers. As per the case definition of COVID-19, a confirmed case is ‘any person meeting the laboratory criteria'56 and India follows the same7. This definition does not hinge upon other investigation results and conforming to the same, our investigation was at par with internationally acceptable standard practices. Adhering to this definition further allowed us to keep uniformity across the study population (cases and controls) and minimize selection biases.
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