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Blood cell analysis is a major pillar of biomedical research and healthcare. These analyses are performed in central laboratories. Rapid shipment from collection site to the central laboratories is currently needed because cells and biomarkers degrade rapidly. The dried blood spot from a fingerstick allows the preservation of cellular molecules for months but entire cells are never recovered. Here leucocyte elution is optimized from dried blood spots. Flow cytometry and mRNA expression profiling are used to analyze the recovered cells. 50–70% of the leucocytes that are dried on a polyester solid support via elution after shaking the support with buffer are recovered. While red blood cells lyse upon drying, it is found that the majority of leucocytes are preserved. Leucocytes have an altered structure that is improved by adding fixative in the elution buffer. Leucocytes are permeabilized, allowing an easy staining of all cellular compartments. Common immunophenotyping and mRNAs are preserved. The ability of a new biomarker (CD169) to discriminate between patients with and without Severe Acute Respiratory Syndrome induced by Coronavirus 2 (SARS‐CoV‐2) infections is also preserved. Leucocytes from blood can be dried, shipped, and/or stored for at least 1 month, then recovered for a wide variety of analyses, potentially facilitating biomedical applications worldwide. [ABSTRACT FROM AUTHOR]

Objectives. We aimed to evaluate the effectiveness of a multifaceted procedure in improving pneumococcal and influenza vaccinations 6 months after an emergency department (ED) visit among patients aged 65 years and older. Methods. We conducted a cluster-randomized, controlled, parallel-group, open-label implementation trial in 18 EDs in France and Monaco. Participants were recruited from November 2015 to September 2016. EDs were randomly assigned with a 1:1 ratio to provide either a multifaceted procedure that combined structured information about pneumococcal and influenza vaccines and three text message reminders sent to patients every two weeks (intervention arm) or nonstructured information only (control arm). The outcomes were self-reported pneumococcal vaccination and influenza vaccination rates within 6 months of enrollment. Results. A total of 9 EDs were randomized to the intervention arm (n = 780 patients) and 9 to the control arm (n = 695 patients). The median age for all enrolled patients was 74 years (25–75th percentiles, 69 to 82): 50.1% were male, 34.9% had at least one underlying condition, and 30.7% were at risk for invasive pneumococcal infection. In the intention-to-treat analysis, the multifaceted intervention did not alter the pneumococcal vaccination rate (6.4% versus 4.6%, absolute difference: 1.8; 95% CI: [−0.9 to 4.4]; p = 0.19), whereas it improved the influenza vaccination rate (52.1% versus 40.0%, absolute difference: 12.1; 95% CI: [2.4 to 21.8]; p = 0.01). At 12 months, mortality did not differ between the intervention (9.7%) and control (11.2%) arms (p = 0.35). Conclusions. A multifaceted intervention based on text message reminders provides an opportunity to increase anti-influenza vaccination among elderly patients visiting the ED. Efforts are warranted to provide better information on pneumococcal diseases and the benefits of pneumococcal vaccines, especially in the elderly. [ABSTRACT FROM AUTHOR]

Objectives: The main objective was to evaluate the precision of the Modified Lung Ultrasound (MLUS score) for predicting the need for respiratory support in the first 48 hours in patients with dyspnea due to the coronavirus disease 2019 (COVID-19). The secondary objectives were 1) to compare the MLUS and National Early Warning Score 2 (NEWS2), as well as the combination of both scores, as predictors of severity according to the World Health Organization (WHO) Ordinal Scale for Clinical Improvement; and 2) to compare severity assessed by ultrasound scoring to severity assessed by lung computed tomography (CT)., Material and Methods: Multicenter prospective observational cohort study conducted from March 30 to April 30, 2020, in 2 university hospitals. Adult patients with dyspnea due to COVID-19 were included. An initial lung ultrasound was performed, and the results of MLUS, NEW2, and lung CT evaluations were recorded. Patients were classified by risk according to the WHO scale at 48 hours, as follows: low risk (score less than 5) or high risk (score of 5 or more)., Results: A total of 100 patients were included: 35 (35%) were classified as low risk and 65 (65%) as high risk. The correlation between the MLUS and WHO assessments was positive and very high (Spearman rank correlation 􀁕 = 0.832; P .001). The area under the receiver operating characteristic curves of the MLUS, NEW2 and combined ultrasound scores, in relation to prediction of risk classification were, respectively, 0.96 (0.93-0.99), 0.89 (0.82-0.95) and 0.98 (0.96-1.0). The MLUS and lung CT assessments were correlated., Conclusion: An early lung ultrasound score can predict clinical severity in patients with dyspnea due to COVID-19.