Population-specific genetic-risk scores enable improved prediction of mortality within 28 days of sepsis onset: a retrospective Taiwanese cohort study.
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| Title: | Population-specific genetic-risk scores enable improved prediction of mortality within 28 days of sepsis onset: a retrospective Taiwanese cohort study. |
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| Authors: | Hsieh MS; Department of Emergency Medicine, Taipei Veterans General Hospital, Taoyuan Branch, Taoyuan, 330, Taiwan.; Department of Emergency Medicine, Taipei Veterans General Hospital, Taipei, 11217, Taiwan.; School of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.; Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, 40705, Taiwan., Wu PH; Institute of Epidemiology and Preventive Medicine, Department of Public Health, National Taiwan University, Taipei, 100, Taiwan., Chiu KC; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, 100, Taiwan., Liao SH; Department of Pathology and Laboratory, Taipei Veterans General Hospital, Taoyuan Branch, Taoyuan, 330, Taiwan., Chen CS; Department of Emergency Medicine, Taipei Veterans General Hospital, Taoyuan Branch, Taoyuan, 330, Taiwan., Hsiao TH; Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.; Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan.; Research Center for Biomedical Science and Engineering, National Tsing Hua University, Hsinchu, Taiwan.; Department of Public Health, Fu Jen Catholic University, New Taipei City, Taiwan., Chen YM; Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.; Department of Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan.; Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan., Hu SY; Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, 40705, Taiwan.; School of Medicine, Chung Shan Medical University, Taichung, 40201, Taiwan.; Institute of Medicine, Chung Shan Medical University, Taichung, 40201, Taiwan.; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, 402, Taiwan., How CK; Department of Emergency Medicine, Taipei Veterans General Hospital, Taipei, 11217, Taiwan.; School of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan., Chattopadhyay A; Institute of Epidemiology and Preventive Medicine, Department of Public Health, National Taiwan University, Taipei, 100, Taiwan. amrita@ntu.edu.tw., Lu TP; Institute of Health Data Analytics and Statistics, Department of Public Health, National Taiwan University, Taipei, 100, Taiwan. tplu@ntu.edu.tw. |
| Source: | Journal of intensive care [J Intensive Care] 2025 Feb 26; Vol. 13 (1), pp. 11. Date of Electronic Publication: 2025 Feb 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101627304 Publication Model: Electronic Cited Medium: Print ISSN: 2052-0492 (Print) Linking ISSN: 20520492 NLM ISO Abbreviation: J Intensive Care Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-0492 |
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| DOI: | 10.1186/s40560-025-00783-1 |
