Research Vision:

I integrate clinical and -omics data to understand how precision medicine can be applied to critical illness.

Research Areas:

• -omics

• Critical illness

• Biomarkers

Research Publications:

1. Lusczek ER, Ingraham NE, Karam BS, Proper J, Siegel L, Helgeson ES, Lotfi-Emran S, Zolfaghari EJ, Jones E, Usher MG, Chipman JG, Dudley RA, Benson B, Melton GB, Charles A, Lupei MI, Tignanelli CJ. Characterizing COVID-19 clinical phenotypes and associated comorbidities and complication profiles. PLoS One. 2021 Mar 31;16(3):e0248956. doi: 10.1371/journal.pone.0248956. PMID: 33788884; PMCID: PMC8011766.

2. Lusczek ER, Parsons LS, Elder J, Harvey SB, Skube M, Muratore S, Beilman G, Cornelissen-Guillaume G. Metabolomics Pilot Study Identifies Desynchronization of 24-H Rhythms and Distinct Intra-patient Variability Patterns in Critical Illness: A Preliminary Report. Front Neurol. 2020 Oct 2;11:533915. doi: 10.3389/fneur.2020.533915. PMID: 33123071; PMCID: PMC7566909.

3. Lusczek ER, Muratore SL, Dubick MA, Beilman GJ. Assessment of key plasma metabolites in combat casualties. J Trauma Acute Care Surg. 2017 Feb;82(2):309-316. doi: 10.1097/TA.0000000000001277. PMID: 27787435.

4. Lusczek ER, Paulo JA, Saltzman JR, Kadiyala V, Banks PA, Beilman G, Conwell DL. Urinary 1H-NMR metabolomics can distinguish pancreatitis patients from healthy controls. JOP. 2013 Mar 10;14(2):161-70. doi: 10.6092/1590-8577/1294. PMID: 23474563; PMCID: PMC4500934.

5. Lusczek ER, Lexcen DR, Witowski NE, Mulier KE, Beilman G. Urinary metabolic network analysis in trauma, hemorrhagic shock, and resuscitation. Metabolomics. 2013;9:223–235. https://doi.org/10.1007/s11306-012-0441-5