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AACC Academy Distinguished Abstracts Winners

The AACC Academy is pleased to announce the winners of the 2019 Distinguished Abstracts Awards. A group of Fellows selected these 20 abstracts for their scientific excellence from a pool of 813 abstracts accepted for the AACC Annual Scientific Meeting.

Winning abstracts displayed the Academy blue ribbon during the 2019 AACC Annual Scientific Meeting poster sessions in Anaheim, CA.

A-026 Bernard Cook, Detroit, MI
A Baseline Novel High Sensitivity Cardiac Troponin I Level Below the Limit of Quantitation Rules Out Acute Myocardial Infarction in the Emergency Department

A-071 Oliver Senscheid, Mountain Lakes, NJ
Laboratory Diagnostics of Autoantibodies in Autoimmune Myopathies

A-117 Katherine Turner, Chardon, OH
Going Gel Free: Adding M-protein Quantitation to MASS-FIX in the Clinical Lab

A-143 Ghaith Altawallbeh, Cleveland, OH
Plasma Metabolites to Predict Response to Exercise in Alzheimer's Disease

A-148 Rebecca Bearden, Cleveland, OH
Protein Assisted Digestion Improves Sensitivity of Immunocapture-MRM Method to Quantify Stool Biomarker of Colorectal Cancer

A-238 Hana Klassen Vakili, Dallas, TX
Complete Depletion of Residual Therapeutic Monoclonal Antibody Interference in Serum Samples From Multiple Myeloma Patients to Improve Detection of Endogenous M-proteins

A-272 Mark Zaydman, St. Louis, MO
Extending the Analytical Measuring Range of Turbidometric Homogeneous Immunoassays Using a Novel Kinetic Calibration Method

A-278 Madeleen Bosma, Nieuwegein, Netherlands
Automated and Cost-Efficient Early Detection of Hemolysis in Patients with Extracorporeal Life Support: Use of the Hemolysis-Index of Routine Clinical Chemistry Platforms

A-311 Giuxi Zheng, Jinan, China
Genome-Wide DNA Methylation Analysis by MethylRAD Reveals the Potential Biomarkers and Mechanism of Colon Cancer

A-320 Mark Cervinski, Lebanon, NH
The Average of Delta: Monitoring Assay Performance Through the Use of the Mean Intra-Individual Delta

A-349 Oscar Berlanga, Birmingham, United Kingdom
A Novel Mass Spectrometry Method for Monoclonal Free Light Chain Detection

A-387 Xiao-An Fu, Louisville, KY
Detection of Lung Cancer by Breath Analysis with Chemoselective Microreactors

B-061 Sara Bachert, Lexington, KY
Daily Labs Quality Improvement: Pilot Program for Decreasing Unnecessary Lab Orders

B-137 Nicholas Bevins, San Diego, CA
Quantitative Impact of Including or Excluding Synonymous Mutations from Tumor Mutational Burden Utilized as a Pan-Cancer Prognostic Marker

B-144 Irina Kirpich, Louisville, KY
Decreased Endogenous ω-6 PUFAs Induced Intestinal Mucosa Transcriptional Reprogramming that Contributed to Amelioration of Intestinal and Liver Injury in Mice in a Context of Systemic Inflammation and Chronic Ethanol Exposure

B-155 Enoch Anto, Kumasi, Ghana
Algorithm of Suboptimal Health Status, Serum Magnesium and Calcium Levels as a Novel Approach for Prediction and Identification of Pregnant Women Likely to Develop Preeclampsia and Adverse Perinatal Complications in a Ghanaian Population

B-174 Joshua Hunsaker, Salt Lake City, UT
Comparison of Disclosed Smoking Status to the Presence of Serum Nicotine and Metabolites in Maternal Quadruple Screen Specimens

B-199 Bonhan Koo, Seoul, Republic of Korea
Rapid and Accurate Multiple Detection Bio-optical Sensor for Diagnosis of Emerging Infectious Diseases

B-203 Eberhard Spanuth, Heidelberg/Dossenheim, Germany
D-dimer, Presepsin and qSOFA for Early Assessment of Organ Dysfunction and Mortality Prediction in Patients Admitted with Sepsis to the Emergency Department

B-281 Jennifer Colby, San Franciso, CA
Large-scale Analysis of Electronic Health Record Data Enables Systematic Discovery of Cross-reactivity in urine drug screening immunoassays

AACC Academy Designation

Fellows of AACC Academy use the designation of FAACC. This designation is equivalent to FACB, the previous designation used by fellows of the National Academy of Clinical Biochemistry, which became AACC Academy in 2016.