Genomic signatures and prediction of clinical severity in Klebsiella pneumoniae infections in a multicenter cohort
Published in medRxiv (preprint), 2026
Recommended citation: Malaikah, M., Alyami, R. Y., Huang, J., Fallatah, O., Milner, M., Zhou, G., Hirayban, R., Iftikhar, S., et al., & Moradigaravand, D. (2026). Genomic signatures and prediction of clinical severity in Klebsiella pneumoniae infections in a multicenter cohort. medRxiv. https://doi.org/10.64898/2026.02.02.26345332
A nationwide multicenter cohort of 1,306 K. pneumoniae complex isolates was integrated with patient-level clinical information. Regression, bacterial GWAS, and machine-learning analyses related genomic features to mortality, ICU admission, and length of stay.