title: Potential biomarker panel for predicting organ dysfunction and acute coagulopathy in a polytrauma porcine model.
abstract: Traumatic injury remains a major cause of morbidity and mortality worldwide, and patients who survived the initial insult are susceptible to an overwhelming inflammatory dysfunction that will lead to acute coagulopathy of trauma (ACOT) and subsequently multiple organ dysfunction syndrome (MODS). Multiple organ dysfunction syndrome-related scoring systems, although they measure organ dysfunction, present clinical markers, and single-cytokine estimates are unable to predict accurately the events of MODS in the clinical setting to aid risk stratification. In this study, a pig model comprising the lethal triad of trauma was used to determine prognostic patterns of early circulating trauma markers so as to predict the development of MODS and ACOT. We measured early expression of several biomarkers (neutrophil gelatinase-associated protein, high-mobility group box 1, C-reactive protein, tumor necrosis factor-α, heart-type fatty acid binding protein, and D-dimers) and clinical parameters for various organ injuries and abnormalities (creatinine, creatine kinase myocardial band, aspartate aminotransferase, and maximum clot firmness) at later time points. The strength of association between the early expression of several biomarkers to the development of MODS and ACOT in polytraumatized pigs was tested using the Spearman correlation coefficient. These biomarkers were found useful to predict the onset of renal, cardiac, hepatic, and hemostatic abnormalities. The findings show that these biomarkers could help to identify, guide, and streamline damage control surgery and earlier intervention to reverse the detrimental outcomes of MODS and ACOT.
authors.affiliation: *Defence Medical and Environmental Research Institute, DSO National Laboratories; and †Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
authors.forename: Yong Chiat
authors.initials: YC
authors.lastname: Wong
authors.forename: Yi Yang
authors.initials: YY
authors.lastname: Lai
authors.forename: Mui Hong
authors.initials: MH
authors.lastname: Tan
authors.forename: Chuen Seng
authors.initials: CS
authors.lastname: Tan
authors.forename: Jian
authors.initials: J
authors.lastname: Wu
authors.forename: Lewis Zheng Jie
authors.initials: LZ
authors.lastname: Zeng
authors.forename: Jia
authors.initials: J
authors.lastname: Lu
authors.forename: Shabbir
authors.initials: S
authors.lastname: Moochhala
mesh_terms: D000208:Acute Disease; D000818:Animals; D015415:Biomarkers / Q000097:blood*; D001778:Blood Coagulation Disorders / Q000175:diagnosis* / Q000209:etiology / Q000473:pathology / Q000503:physiopathology; D004195:Disease Models, Animal; D006335:Heart Injuries / Q000175:diagnosis; D007668:Kidney / Q000473:pathology / Q000503:physiopathology; D008099:Liver / Q000293:injuries / Q000473:pathology; D008168:Lung / Q000473:pathology; D008297:Male; D009102:Multiple Organ Failure / Q000175:diagnosis* / Q000209:etiology / Q000473:pathology / Q000503:physiopathology; D009104:Multiple Trauma / Q000150:complications* / Q000473:pathology / Q000503:physiopathology; D009206:Myocardium / Q000473:pathology; D034421:Sus scrofa
chemical_list: D015415:Biomarkers