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Journal of the American Society of Nephrology ; 33:973, 2022.
Article in English | EMBASE | ID: covidwho-2124516


Background: The SARS-CoV2 pandemic increased the complexity of delivering clinical care and laboratory services for immunosuppressed kidney transplant (KTx) recipients. We evaluated how the pandemic impacted adherence with laboratory draws among patients in the Kidney allograft Outcomes AlloSure Registry (KOAR,NCT03326076). Method(s): 1663 KTx recipients undergoing post-transplant surveillance using donorderived cell-free DNA (dd-cfDNA) were enrolled in KOAR between 2017 and 2021. Participating centers were free to individualize their surveillance strategies. We estimated adherence by using the pre-pandemic distribution of surveillance dd-cfDNA draws across participating sites to establish a baseline regimen, and then compared adherence before the pandemic (P1;through 1/2020) with two subsequent periods in 2020: P2 (2/2020 - 6/2020), coinciding with the first wave of infections, and P3(7/2020 - 12/2020), which captures the bulk of the second and third waves in the US. Result(s): The distribution of surveillance dd-cfDNA draws at participating sites before COVID (P1) identified 7 peaks corresponding to draw points at months 1, 2, 3, 4, 6, 9, and 12 [Figure 1a]. Estimated adherence during P1 based on this regimen was 60.5%. Over the subsequent 5 months (P2), reflecting the early months of the pandemic, adherence declined to 50.5% (p < 0.01). After the expanded availability of mobile phlebotomy services in 7/2020 and despite rising SARS-CoV2 case counts and hospitalizations, adherence during P3 improved to 57.6% (p < 0.01 compared to P2, p = 0.1 compared to P1) [Figure 1b]. Conclusion(s): Our findings demonstrate that adherence to laboratory surveillance among transplant recipients enrolled in the KOAR registry declined in theearly period of the SARS-CoV2 pandemic, however, a variety of adaptations in the latter half of 2020, including the widespread availability of remote phlebotomy for these patients, appears to have led to substantial improvements, with adherence approaching pre-pandemic levels. (Figure Presented).

O'Toole, A.; Hill, V.; Pybus, O. G.; Watts, A.; Bogoch, II, Khan, K.; Messina, J. P.; consortium, Covid- Genomics UK, Network for Genomic Surveillance in South, Africa, Brazil, U. K. Cadde Genomic Network, Tegally, H.; Lessells, R. R.; Giandhari, J.; Pillay, S.; Tumedi, K. A.; Nyepetsi, G.; Kebabonye, M.; Matsheka, M.; Mine, M.; Tokajian, S.; Hassan, H.; Salloum, T.; Merhi, G.; Koweyes, J.; Geoghegan, J. L.; de Ligt, J.; Ren, X.; Storey, M.; Freed, N. E.; Pattabiraman, C.; Prasad, P.; Desai, A. S.; Vasanthapuram, R.; Schulz, T. F.; Steinbruck, L.; Stadler, T.; Swiss Viollier Sequencing, Consortium, Parisi, A.; Bianco, A.; Garcia de Viedma, D.; Buenestado-Serrano, S.; Borges, V.; Isidro, J.; Duarte, S.; Gomes, J. P.; Zuckerman, N. S.; Mandelboim, M.; Mor, O.; Seemann, T.; Arnott, A.; Draper, J.; Gall, M.; Rawlinson, W.; Deveson, I.; Schlebusch, S.; McMahon, J.; Leong, L.; Lim, C. K.; Chironna, M.; Loconsole, D.; Bal, A.; Josset, L.; Holmes, E.; St George, K.; Lasek-Nesselquist, E.; Sikkema, R. S.; Oude Munnink, B.; Koopmans, M.; Brytting, M.; Sudha Rani, V.; Pavani, S.; Smura, T.; Heim, A.; Kurkela, S.; Umair, M.; Salman, M.; Bartolini, B.; Rueca, M.; Drosten, C.; Wolff, T.; Silander, O.; Eggink, D.; Reusken, C.; Vennema, H.; Park, A.; Carrington, C.; Sahadeo, N.; Carr, M.; Gonzalez, G.; Diego, Search Alliance San, National Virus Reference, Laboratory, Seq, Covid Spain, Danish Covid-19 Genome, Consortium, Communicable Diseases Genomic, Network, Dutch National, Sars-CoV-surveillance program, Division of Emerging Infectious, Diseases, de Oliveira, T.; Faria, N.; Rambaut, A.; Kraemer, M. U. G..
Wellcome Open Research ; 6:121, 2021.
Article in English | MEDLINE | ID: covidwho-1259748


Late in 2020, two genetically-distinct clusters of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with mutations of biological concern were reported, one in the United Kingdom and one in South Africa. Using a combination of data from routine surveillance, genomic sequencing and international travel we track the international dispersal of lineages B.1.1.7 and B.1.351 (variant 501Y-V2). We account for potential biases in genomic surveillance efforts by including passenger volumes from location of where the lineage was first reported, London and South Africa respectively. Using the software tool grinch (global report investigating novel coronavirus haplotypes), we track the international spread of lineages of concern with automated daily reports, Further, we have built a custom tracking website ( which hosts this daily report and will continue to include novel SARS-CoV-2 lineages of concern as they are detected.

Progress in Cardiovascular Diseases ; 63(5):696-698, 2020.
Article in English | MEDLINE | ID: covidwho-974475