Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study.
- DOI
- 10.1016/s2589-7500(22)00150-9
- Published
- 2022 Oct
- Container
- The Lancet. Digital health
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1016/s2589-7500-22-00150-9,
title = {Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study.},
author = {Staessen JA and Wendt R and Yu YL and Kalbitz S and Thijs L and Siwy J and Raad J and Metzger J and Neuhaus B and Papkalla A and von der Leyen H and Mebazaa A and Dudoignon E and Spasovski G and Milenkova M and Canevska-Taneska A and Salgueira Lazo M and Psichogiou M and Rajzer MW and Fuławka Ł and Dzitkowska-Zabielska M and Weiss G and Feldt T and Stegemann M and Normark J and Zoufaly A and Schmiedel S and Seilmaier M and Rumpf B and Banasik M and Krajewska M and Catanese L and Rupprecht HD and Czerwieńska B and Peters B and Nilsson Å and Rothfuss K and Lübbert C and Mischak H and Beige J and CRIT-CoV-U investigators},
year = {2022},
journal = {The Lancet. Digital health},
doi = {10.1016/s2589-7500(22)00150-9},
url = {https://doi.org/10.1016/s2589-7500(22)00150-9}
}RIS
TY - JOUR TI - Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study. AU - Staessen JA AU - Wendt R AU - Yu YL AU - Kalbitz S AU - Thijs L AU - Siwy J AU - Raad J AU - Metzger J AU - Neuhaus B AU - Papkalla A AU - von der Leyen H AU - Mebazaa A AU - Dudoignon E AU - Spasovski G AU - Milenkova M AU - Canevska-Taneska A AU - Salgueira Lazo M AU - Psichogiou M AU - Rajzer MW AU - Fuławka Ł AU - Dzitkowska-Zabielska M AU - Weiss G AU - Feldt T AU - Stegemann M AU - Normark J AU - Zoufaly A AU - Schmiedel S AU - Seilmaier M AU - Rumpf B AU - Banasik M AU - Krajewska M AU - Catanese L AU - Rupprecht HD AU - Czerwieńska B AU - Peters B AU - Nilsson Å AU - Rothfuss K AU - Lübbert C AU - Mischak H AU - Beige J AU - CRIT-CoV-U investigators PY - 2022 JO - The Lancet. Digital health DO - 10.1016/s2589-7500(22)00150-9 UR - https://doi.org/10.1016/s2589-7500(22)00150-9 ER -
APA
JA, S., R, W., YL, Y., S, K., L, T., J, S., J, R., J, M., B, N., A, P., H, V. D. L., A, M., E, D., G, S., M, M., A, C., M, S. L., M, P., MW, R., Ł, F., M, D., G, W., T, F., M, S., J, N., A, Z., S, S., M, S., B, R., M, B., M, K., L, C., HD, R., B, C., B, P., Å, N., K, R., C, L., H, M., J, B., & investigators, C. (2022). Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study.. The Lancet. Digital health. https://doi.org/10.1016/s2589-7500(22)00150-9
Source records
- pubmed · retrieved 2026-09-26T06:34:54.592Z