Saliva has been a COVID-19 diagnostic specimen of interest due to its simple collection, scalability, and yield. Yet COVID-19 testing and estimates of the infectious period remain largely based on nasopharyngeal and nasal swabs. We sought to evaluate whether saliva testing captured prolonged presence of SARS-CoV-2 and potential infectiousness later in the disease course. We conducted an observational study of symptomatic COVID-19 patients at University Hospital in Newark, NJ. Paired saliva and nasal specimens from 96 patients were analyzed, including longitudinal analysis of paired observations from 28 of these patients who had multiple time-points. Saliva detected significantly more cases of COVID-19 beyond 5 days (86.1% [99/115] saliva vs 48.7% [56/115] nasal, p-value < 0.001), 9 days (79.4% [50/63] saliva vs 36.5% [23/63] nasal, p-value < 0.001) and 14 days (71.4% [20/28] saliva vs 32.1% [9/28] nasal, p-value = 0.010) of symptoms. Additionally, saliva yielded lower cycle thresholds across all time periods, indicative of higher viral loads in saliva. In the longitudinal analysis, a log-rank analysis indicated that the survival curve for saliva was significantly different from the curve for nasal swabs (p<0.001) with a median survival time for saliva of 18 days compared to 13 days for nasal swabs. We additionally performed saliva viral cultures among a similar COVID-19 patient cohort and noted patients with positive saliva viral cultures between 7 to 28 days of symptoms. Findings from this study suggest that SARS-CoV-2 RNA persists longer and in higher abundance in saliva compared to nasal swabs, with potential of prolonged propagating virus. Testing saliva may thus increase yield for detecting potentially infectious virus even beyond the first five days of symptomatic COVID-19.

ObjectivePharmacokinetic variability drives tuberculosis (TB) treatment outcomes but measurement of serum drug concentrations for personalised dosing is inaccessible for children in TB-endemic settings. We compared rifampin urine excretion for prediction of a serum target associated with treatment outcome.DesignProspective diagnostic accuracy study.SettingInpatient wards and outpatient clinics, northern Tanzania.PatientsChildren aged 4–17 years were consecutively recruited on initiation of WHO-approved treatment regimens.InterventionsSamples were collected after directly observed therapy at least 2 weeks after initiation in the intensive phase: serum at pre-dose and 1, 2 and 6 hours post-dose, later analysed by liquid chromatography-tandem mass spectrometry for calculation of rifampin total exposure or area under the concentration time curve (AUC0-24); urine at post-dose intervals of 0–4, 4–8 and 8–24 hours, with rifampin excretion amount measured onsite by spectrophotometry.Main outcome measuresReceiver operating characteristic (ROC) curve for percentage of rifampin dose excreted in urine measured by spectrophotometry to predict serum rifampin AUC0–24target of 31.7 mg*hour/L.Results89 children, 52 (58%) female, with median age of 9.1 years, had both serum and urine collection. Only 59 (66%) reached the serum AUC0–24target, reflected by a range of urine excretion patterns. Area under the ROC curve for percentage of rifampin dose excreted in urine over 24 hours predicting serum AUC0–24target was 69.3% (95% CI 56.7% to 81.8%), p=0.007.ConclusionsUrine spectrophotometry correlated with a clinically relevant serum target for rifampin, representing a step toward personalised dosing for children in TB-endemic settings.

Background. The rapid emergence of new vaccine-resistant SARS-CoV-2 variants of concern (VOC) requires an equally rapid deployment of diagnostic tests to specifically identify each VOC as soon as it arises. Here, we report an expanded version of our previously described sloppy molecular beacon (SMB) Alpha/Beta/Gamma RT-PCR melting temperature (Tm) signature-based assay, which now includes modifications that allow specific detection of Delta (B.1.617.2) and Omicron (B.1.529) VOCs. Methods. We developed a dual SMB assay (SMB-452) which targeted the T22917G (L452R) mutation in the SARS-CoV-2 spike protein to specifically detect the Delta VOC. We also identified a Tm profile in our existing SMB-501 and SMB-484 assays (which detect mutations in codons 501 and 484 of the SARS-CoV-2 spike protein, respectively) that differentiate the Omicron-specific N501Y (A23063T) and E484A (A23013C) mutations from both wild type (WT) and other VOCs. The entire six SMB three-codon assay was tested using reference SARS-CoV-2 RNAs. The assay was then validated using clinical samples from COVID-19 patients tested with a LightCycler 480 (LC480) (74 samples), Bio-Rad CFX96 (34 samples), Rotor-Gene Q (Qiagen) (34 samples) and an ABI-7500 (34 samples) RT-PCR instruments. Six SMB Tm results were then inputted into an Excel Analysis tool to generate specific VOC identifications. Results. The limit of detection (LOD) for the new SMB-452 assay, which specifically identified the Delta variant was 1 genomic equivalent (GE) per reaction. The LODs of the SMB-501 and SMB-484 assays which detect Omicron were 100 and 103 GE respectively. Clinical validation of the 3-codon assay in the LC480 instrument showed the assay detected 94% of the samples as WT or VOCs in clinical samples and 6% of the tests producing indeterminate results. None of the samples were incorrectly identified as WT or as a different VOC. Thus, excluding samples with indeterminant results, the assay was 100% sensitive and 100% specific compared to sequencing. There was also 100% concordance between the LC480, BioRad, ABI and Qiagen results excluding negative or indeterminate results; however, the Qiagen assay had significantly more indeterminates than the other assays. Conclusion. This new assay can serve as a robust diagnostic tool for selecting appropriate monoclonal antibody therapy and rapid VOC surveillance.