Clinical validation of novel dried blood spot based collecting device using serum separation for measuring SARS-CoV-2 antibodies.

Accurate surveillance of coronavirus disease 2019 (COVID-19) incidence includes large-scale antibody testing of the population. Current testing methods require collection of venous blood samples by a healthcare worker, or dried blood spot (DBS) collection using finger prick, however this might have some logistic and processing limitations. We investigated the performance of the Ser-Col device for detecting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antibodies using a finger prick: DBS-like collection system that includes a lateral flow paper for serum separation and allows for automated large scale analysis. For this prospective study, adult patients with moderate to severe COVID-19 were included 6 weeks post-symptom onset. Healthy, adult volunteers were included as a negative control group. Venous blood and capillary blood using the Ser-Col device were collected and the Wantai SARS-CoV-2 total antibody ELISA was performed on all samples. We included 50 subjects in the study population and 49 in the control group. Results obtained with venous blood versus Ser-Col capillary blood showed 100% sensitivity (95% CI: 0.93-1.00) and 100% specificity (95% CI: 0.93-1.00). Our study shows the feasibility of SARS-CoV-2 total antibody screening using a standardized DBS technique with semiautomated processing for large scale analysis.

SARS-CoV-2 viral-load distribution reveals that viral loads increase with age: a retrospective cross-sectional cohort study.

BACKGROUND: Describing the SARS-CoV-2 viral-load distribution in different patient groups and age categories. METHODS: All results from first nasopharyngeal (NP) and oropharyngeal (OP) swabs from unique patients tested via SARS-CoV-2 reverse transcriptase polymerase chain reaction (RT-PCR) collected between 1 January and 1 December 2020 predominantly in the Public Health Services regions Kennemerland and Hollands Noorden, province of North Holland, the Netherlands, were included in this study. SARS-CoV-2 PCR crossing-point (Cp)-values were used to estimate viral loads. RESULTS: In total, 278 455 unique patients were tested, of whom 9.1% (n = 25.374) were SARS-CoV-2-positive. PCRs performed by Public Health Services (n = 211 914), in which sampling and inclusion were uniform, revealed a clear relation between age and SARS-CoV-2 viral load, with especially children aged <12 years showing lower viral loads than adults (ß: -0.03, 95% confidence interval: -0.03 to -0.02, p < 0.001), independently of sex and/or symptom duration. Interestingly, the median Cp-values between the >79- and <12-year-old populations differed by more than four PCR cycles, suggesting an ∼16-fold difference in viral load. In addition, the proportion of children aged <12 years with a low load (Cp-value >30) was higher compared with other patients (31.1% vs 17.2%, p-value < 0.001). CONCLUSIONS: In patients tested by Public Health Services, SARS-CoV-2 viral load increases with age. Further studies should elucidate whether the lower viral load in children is indeed related to their suggested limited role in SARS-CoV-2 transmission. Moreover, as rapid antigen tests are less sensitive than PCR, these results suggest that SARS-CoV-2 antigen tests have lower sensitivity in children than in adults.

Usefulness of Left Atrial Emptying Fraction to Predict Ventricular Arrhythmias in Patients With Implantable Cardioverter Defibrillators.

Impaired left atrial emptying fraction (LAEF) is an important predictor of mortality in patients with heart failure. As it may reflect increased LV wall stress, it might predict ventricular arrhythmia (VA) specifically. This study evaluated the predictive value of LAEF assessed with cardiovascular magnetic resonance (CMR) imaging with respect to appropriate device therapy (ADT) for VA and compared its role with CMR assessed scar size and other risk factors. In total, 229 patients (68% male, 63 ± 10 years, 61% ischemic cardiomyopathy) with LV ejection fraction ≤35% who underwent CMR and implantable cardioverter defibrillator (ICD) implantation for primary prevention in 2005 to 2012 were included. CMR was used to quantify LV volumes and function. LV scar size was quantified when late gadolinium enhancement was available (n = 166). Maximum and minimum left atrial volumes and LAEF were calculated using the biplane area-length method. The occurrence of ADT and mortality was assessed during a median follow-up of 3.9 years. Sixty-two patients (27%) received ADT. Univariable Cox analysis showed that male gender, creatinine level, minimum left atrial volume, LAEF, and total scar size were significant predictors of ADT. In multivariable Cox analysis, LAEF (hazard ratio 0.75 per 10%, p <0.01), and scar size (hazard ratio 1.03 per g, p = 0.03) remained the only independent predictors of ADT. Patients with both LAEF > median and scar size < median were at low risk (13% ADT at 5 years), whereas those with LAEF < median and scar size > median experienced 40% ADT at 5 years (log-rank p = 0.01). In conclusion, LAEF independently predicts ADT in patients with primary prevention ICDs. Combined assessment of LAEF and scar size identifies a group with low risk of ADT. Therefore, LAEF assessment could assist in risk stratification for VA to select patients with the highest benefit from ICD implantation.