Clinical and immunological signatures of severe COVID-19 in previously healthy patients with clonal hematopoiesis
Chang Kyung Kang(Seoul National University Hospital), Inkyung Jung(Korea Advanced Institute of Science and Technology), Hogune Im(Genome and Company (South Korea)), Hong Bin Kim(Seoul National University Bundang Hospital), Pyoeng Gyun Choe(Seoul National University), Baekgyu Choi(Korea Advanced Institute of Science and Technology), Seong-Wan Park(Korea Advanced Institute of Science and Technology), Joon Ho Moon(Kyungpook National University Hospital), Eu Suk Kim(Seoul National University Bundang Hospital), Dohoon Lee(Seoul National University), Nam Joong Kim(New Generation University College), Youngil Koh(Seoul National University), Euijin Chang(Seoul National University), Soon Ho Yoon(Seoul National University Hospital), Jongtak Jung(Seoul National University), Myoung‐don Oh(Seoul National University), Kyoung‐Ho Song(Seoul National University), Joohae Kim(National Medical Center), Sugyeong Kim(Seoul National University), Ji Yeon Lee(National Medical Center), Andrew Lee(Korea Advanced Institute of Science and Technology), Sun Kim(Seoul National University of Science and Technology), Jaehee Lee(Kyungpook National University Hospital), Wan Beom Park(Seoul National University), Yong Hoon Lee(Kyungpook National University Hospital), Kyuho Kang(Ulsan College), Suk‐Jo Kang(Korea Advanced Institute of Science and Technology), Yuji Ko(Korea Advanced Institute of Science and Technology)
Cited by 1
Related Papers
A minimal common outcome measure set for COVID-19 clinical research
|The Lancet Infectious Diseases|2020|1.8k
SARS-CoV-2 and Stroke in a New York Healthcare System
|Stroke|2020|751
Diagnosis and Treatment of Extrapulmonary Tuberculosis
|Tuberculosis & respiratory diseases|2015|502
A Multicenter, Randomized, Controlled Study to Investigate Extending the Time for Thrombolysis in Emergency Neurological Deficits with Intra-Arterial Therapy (EXTEND-IA)
|International Journal of Stroke|2013|174
MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression
|Nucleic Acids Research|2009|168