Trajectories of longitudinal biomarkers for mortality in severely burned patients
| Autor: | Jun Hur, Wook Chun, Dohern Kym, Jae Hee Won, Jaechul Yoon, Haejun Yim, Yong Suk Cho |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male medicine.medical_specialty lcsh:Medicine 01 natural sciences Severity of Illness Index law.invention 010104 statistics & probability 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine law White blood cell Internal medicine Severity of illness medicine Humans Longitudinal Studies 0101 mathematics lcsh:Science Survival rate Aged Retrospective Studies Prothrombin time Creatinine Multidisciplinary medicine.diagnostic_test business.industry Platelet Count lcsh:R 030208 emergency & critical care medicine Retrospective cohort study Middle Aged Prognosis Intensive care unit Survival Rate medicine.anatomical_structure chemistry Prothrombin Time lcsh:Q Female business Burns Biomarkers Cohort study Follow-Up Studies |
| Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020) |
| ISSN: | 2045-2322 |
| Popis: | This study aimed to investigate the differences in the trajectory of blood biomarkers routinely assessed through forward- and backward-looking approaches among burn patients. This cohort study included patients above 18 years of age from February 2007 to December 2018. All the biomarkers were estimated from admission to discharge from the intensive care unit. Significant differences were observed in the platelet count at 40 days, prothrombin time (PT) at 32 days, white blood cell count at 26 days, creatinine levels at 22 days, and lactate and total bilirubin levels at 19 days before death. In reverse order, significant differences were observed in the fitted model in platelet count at 44 days and in the platelet count and PT at 33 days. We obtained more valuable information from the longitudinal biomarker trajectory using the backward-looking method than using the forward-looking method. The platelet count served as the earliest predictor of mortality among burn patients. |
| Databáze: | OpenAIRE |
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