Herd Immunity against Severe Acute Respiratory Syndrome Coronavirus 2 Infection in 10 Communities, Qatar.

We investigated what proportion of the population acquired severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and whether the herd immunity threshold has been reached in 10 communities in Qatar. The study included 4,970 participants during June 21-September 9, 2020. Antibodies against SARS-CoV-2 were detected by using an electrochemiluminescence immunoassay. Seropositivity ranged from 54.9% (95% CI 50.2%-59.4%) to 83.8% (95% CI 79.1%-87.7%) across communities and showed a pooled mean of 66.1% (95% CI 61.5%-70.6%). A range of other epidemiologic measures indicated that active infection is rare, with limited if any sustainable infection transmission for clusters to occur. Only 5 infections were ever severe and 1 was critical in these young communities; infection severity rate of 0.2% (95% CI 0.1%-0.4%). Specific communities in Qatar have or nearly reached herd immunity for SARS-CoV-2 infection: 65%-70% of the population has been infected.

Combining Gram stain and 16S qPCR improved diagnostic accuracy for suspected pneumonia and could become a new metric in the rapid diagnosis of lower respiratory tract infections.

Introduction. The frequency of multidrug-resistant organisms (MDROs) in hospitals and the risk of delaying effective treatment result in the culture of respiratory secretions for nearly all patients with suspected pneumonia. Culture delays contribute to over prescribing and use of broader spectrum antibiotics.Gap statement. The need for improved rapid diagnostics for early assessment of suspected hospital pneumonia.Aim. To validate a new metric, enhanced Gram stain (EGS), to provide a rapid diagnostic test of high diagnostic accuracy that could be assessed in clinical trials of the use of antibiotics in suspected pneumonia.Methodology. Ninety-two residual lower respiratory samples previously tested by culture and Gram stain were re-tested by 16S ribosomal DNA real-time polymerase chain reaction (16S qPCR) and reported as a combined metric with Gram stain termed EGS. The EGS was assessed for diagnostic accuracy, standard performance measurements and correlation against culture. For samples with discordance between culture and EGS, 16S ribosomal DNA whole operon sequencing (16S rDNA WOS) was used for test resolution. An amended EGS (A-EGS was reassessed against culture.Results. Gram stain, 16S qPCR, EGS and A-EGS had respective diagnostic accuracies of 77.01 %, 82.76 %, 84.04 % and 94.19 %. The same platforms had respective correlation with culture of r = 0.67, r = 0.71, r = 0.81 and r = 0.89. EGS had the highest negative predictive value (NPV) of 93.18 % (81.99 %-97.62 %). Adding an 16S qPCR result is achievable in most routine laboratories and, combined with Gram stain, could improve early decision-making in patients with suspected hospital pneumonia.Conclusion. EGS could improve early decision-making in patients with suspected hospital pneumonia and could be assessed in clinical trials. The 16S rDNA WOS results in the A-EGS also supported the use of pathogen genomic sequencing in early decision making of suspected pneumonia.

Reporting of RT-PCR cycle threshold (Ct) values during the first wave of COVID-19 in Qatar improved result interpretation in clinical and public health settings.

Introduction. The cycle threshold (Ct) value in real-time PCR (RT-PCR) is where a target-specific amplification signal becomes detectable and can infer viral load, risk of transmission and recovery. Use of Ct values in routine practice is uncommon.Gap Statement. There is a lack of routine use of Ct values when reporting RT-PCR results in routine practice.Aim. To automatically insert Ct values and interpretive comments when reporting SARS-CoV-2 RT-PCR to improve patient management.Methodology. Routine Ct values across three different RT-PCR platforms were reviewed for concordance at presentation and clearance in patients with COVID-19. An indicative threshold (IT) linked to viral clearance kinetics was defined at Ct30 to categorize Ct values as low and high, reflecting high and low viral loads respectively.Results. The different gene targets of each platform showed high correlation and kappa score agreement (P<0.001). Average Ct values were automatically generated with values ≤Ct30 reported as positive and >Ct30 as reactive; interpretive comments were added to all reports. The new reporting algorithm impacted on: physician interpretation of SARS-CoV-2 results; patient management and transfer; staff surveillance; length of stay in quarantine; and redefinition of patient recovery.Conclusion. Incorporation of Ct values into routine practice is possible across different RT-PCR platforms and adds useful information for patient management. The use of an IT with interpretive comments improves clinical interpretation and could be a model for reporting other respiratory infections. Withholding Ct values wastes useful clinical data and should be reviewed by the profession, accreditation bodies and regulators.

Assessing the performance of a serological point-of-care test in measuring detectable antibodies against SARS-CoV-2.

This study investigated the performance of a rapid point-of-care antibody test, the BioMedomics COVID-19 IgM/IgG Rapid Test, in comparison with a high-quality, validated, laboratory-based platform, the Roche Elecsys Anti-SARS-CoV-2 assay. Serological testing was conducted on 709 individuals. Concordance metrics were estimated. Logistic regression was used to assess associations with seropositivity. SARS-CoV-2 seroprevalence was 63.5% (450/709; 95% CI 59.8%-67.0%) using the BioMedomics assay and 71.9% (510/709; 95% CI 68.5%-75.2%) using the Elecsys assay. There were 60 discordant results between the two assays, all of which were seropositive in the Elecsys assay, but seronegative in the BioMedomics assay. Overall, positive, and negative percent agreements between the two assays were 91.5% (95% CI 89.2%-93.5%), 88.2% (95% CI 85.1%-90.9%), and 100% (95% CI 98.2%-100%), respectively, with a Cohen's kappa of 0.81 (95% CI 0.78-0.84). Excluding specimens with lower (Elecsys) antibody titers, the agreement improved with overall, positive, and negative percent concordance of 94.4% (95% CI 92.3%-96.1%), 91.8% (95% CI 88.8%-94.3%), and 100% (95% CI 98.2%-100%), respectively, and a Cohen's kappa of 0.88 (95% CI 0.85-0.90). Logistic regression confirmed better agreement with higher antibody titers. The BioMedomics COVID-19 IgM/IgG Rapid Test demonstrated good performance in measuring detectable antibodies against SARS-CoV-2, supporting the utility of such rapid point-of-care serological testing to guide the public health responses and vaccine prioritization.

SARS-CoV-2 seroprevalence in the urban population of Qatar: An analysis of antibody testing on a sample of 112,941 individuals.

The study objective was to the assess level of detectable severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in the urban population of Qatar. Antibody testing was performed on residual blood specimens for 112,941 individuals (∼10% of Qatar's urban population) attending for routine/other clinical care between May 12 and September 9, 2020. Seropositivity was 13.3% (95% confidence interval [CI] = 13.1-13.6%) and was independently associated with sex, age, nationality, clinical care encounter type, and testing date. Median optical density (antibody titer) among antibody-positive persons was 27.0 (range = 1.0-150.0), with higher values associated with age, nationality, clinical care encounter type, and testing date. Seropositivity by nationality was positively correlated with the likelihood of having higher antibody titers (Pearson correlation coefficient = 0.85; 95% CI = 0.47-0.96). Less than two in every 10 individuals in Qatar's urban population had detectable antibodies against SARS-CoV-2, suggesting this population is still far from herd immunity and at risk of subsequent infection waves. Higher antibody titer appears to be a biomarker of repeated exposures to the infection.