RESUMEN
Background: Streptococcus pneumoniae is the main aetiological agent in bacterial pneumonia. Therefore pneumococcal PCR is often included in respiratory multiplex PCR panels, both commercial and in-house. But respiratory PCR results for S. pneumoniae are difficult to interpret due to frequent non-pathogenic colonization on the mucosal surface of the upper airways with pneumococci or to cross-reaction of the PCR target in non-pneumococcal streptococci. In this study we investigated the value of lytA gene pneumococcal PCR in patients presenting with pneumonia. Objectives: To assess the utility of lytA gene detection for S. pneumoniae in a respiratory multiplex quantitative PCR (qPCR) panel for patients presenting with pneumonia. Methods: A retrospective study was conducted for lytA gene results as target for S. pneumoniae in hospitalized patients who were diagnosed with pneumonia and for which a respiratory multiplex PCR panel was performed. Patients were classified as 'probable', 'possible' or 'unlikely' of having a pneumococcal pneumonia. Results: A sensitivity of 71.4% and specificity of 89.6% were found, corresponding to a negative predictive value and positive predictive value of 97.6% and 34.2%, respectively, when considering 'probable' versus 'possible/unlikely'. In the PCR-positive cases we found a statistically significant difference in semi-quantitative Ct values between the 'probable' and the 'possible/unlikely' groups. Conclusions: We conclude that a negative qPCR for the lytA gene in a respiratory sample is highly predictive of a negative S. pneumoniae culture and is possibly sufficient to exclude S. pneumoniae as a causative agent. Respiratory pneumococcal PCR has a high negative predictive value for pneumococcal disease but the positive predictive value is low.
RESUMEN
OBJECTIVE: The study sought to describe the development, implementation, and requirements of laboratory information system (LIS) functionality to manage test ordering, registration, sample flow, and result reporting during the coronavirus disease 2019 (COVID-19) pandemic. MATERIALS AND METHODS: Our large (>12 000 000 tests/y) academic hospital laboratory is the Belgian National Reference Center for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing. We have performed a moving total of >25 000 SARS-CoV-2 polymerase chain reaction tests in parallel to standard routine testing since the start of the outbreak. A LIS implementation team dedicated to develop tools to remove the bottlenecks, primarily situated in the pre- and postanalytical phases, was established early in the crisis. RESULTS: We outline the design, implementation, and requirements of LIS functionality related to managing increased test demand during the COVID-19 crisis, including tools for test ordering, standardized order sets integrated into a computerized provider order entry module, notifications on shipping requirements, automated triaging based on digital metadata forms, and the establishment of databases with contact details of other laboratories and primary care physicians to enable automated reporting. We also describe our approach to data mining and reporting of actionable daily summary statistics to governing bodies and other policymakers. CONCLUSIONS: Rapidly developed, agile extendable LIS functionality and its meaningful use alleviates the administrative burden on laboratory personnel and improves turnaround time of SARS-CoV-2 testing. It will be important to maintain an environment that is conducive for the rapid adoption of meaningful LIS tools after the COVID-19 crisis.