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Zhang GM, Gu YY. Diagnostic value of Procalcitonin, C-reactive protein-to-lymphocyte ratio (CLR), C-reactive protein and neutrophil-to-lymphocyte ratio (NLR) for predicting patients with Bacteraemia in the intensive care unit. J Crit Care 2024; 81:154538. [PMID: 38354622 DOI: 10.1016/j.jcrc.2024.154538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND To explore the diagnostic value of procalcitonin (PCT), C-reactive protein-to-lymphocyte ratio (CLR), C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) for predicting patients with bacteremia in the intensive care unit (ICU). METHODS This case-control study included 359 patients with suspected bacteremia were divided into a bacteremia group (n = 152) and a control group (n = 207) from September 2018 to April 2023. Patient data were collected using a laboratory information system (LIS). ROC curves for PCT, CLR, CRP, and NLR in predicting patients with bacteremia. RESULTS For PCT, CLR, CRP and NLR to predict patients with bacteremia in the ICU, the AUCs were 0.991(95%CI: 0.974-0.998), 0.960(95%CI: 0.935-0.978), 0.955(95%CI: 0.928-0.974), and 0.898(95%CI:0.862-0.927), respectively; the optimal thresholds were 0.248 ng/mL, 47.52 mg/109, 48.32 mg/L, and 6.51, respectively; the sensitivities were 95.4(95%CI: 90.7-98.1), 88.2(95%CI: 81.9-92.8), 87.5(95%CI: 81.2-92.3), and 86.8(95%CI:80.4-91.8), respectively; and the specificities were 95.7(95%CI: 91.9-98.0), 90.8(95%CI: 86.0-94.4), 90.3(95%CI: 85.5-94.0), and 85.0(95%CI:79.4-89.6), respectively. The sensitivities of PCT, CLR, CRP and NLR for predicting bacteremia due to E. coli infection are as high as over 90%, the specificity of PCT is 100, and the sensitivity of NLR is 100. The sensitivity of CRP for predicting bacteremia due to non-Enterobacer infection is 100. CONCLUSIONS Compared with those in the control group, PCT, CLR, CRP and NLR were significantly greater in the bacteremia group. The PCT, CLR, CRP, and NLR can all predict the occurrence of bacteremia. The PCT had the highest sensitivity and specificity in predicting bacteremia in ICU patients.
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Affiliation(s)
- Guo-Ming Zhang
- Department of Laboratory Medicine, Shuyang Hospital, The Affiliated Shuyang Hospital of Xuzhou Medical University, Shuyang 223600, Jiangsu, China; Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
| | - Yuan-Yuan Gu
- Department of Laboratory Medicine, Shuyang Hospital, The Affiliated Shuyang Hospital of Xuzhou Medical University, Shuyang 223600, Jiangsu, China
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Wei Y, Ren X, Yuan Z, Hong J, Wang T, Chen W, Xu Y, Ding J, Lin J, Jiang W, Zhang P, Wu Q. Trauma diagnostic-related target proteins and their detection techniques. Expert Rev Mol Med 2024; 26:e7. [PMID: 38602081 PMCID: PMC11062145 DOI: 10.1017/erm.2024.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/27/2023] [Accepted: 02/01/2024] [Indexed: 04/12/2024]
Abstract
Trauma is a significant health issue that not only leads to immediate death in many cases but also causes severe complications, such as sepsis, thrombosis, haemorrhage, acute respiratory distress syndrome and traumatic brain injury, among trauma patients. Target protein identification technology is a vital technique in the field of biomedical research, enabling the study of biomolecular interactions, drug discovery and disease treatment. It plays a crucial role in identifying key protein targets associated with specific diseases or biological processes, facilitating further research, drug design and the development of treatment strategies. The application of target protein technology in biomarker detection enables the timely identification of newly emerging infections and complications in trauma patients, facilitating expeditious medical interventions and leading to reduced post-trauma mortality rates and improved patient prognoses. This review provides an overview of the current applications of target protein identification technology in trauma-related complications and provides a brief overview of the current target protein identification technology, with the aim of reducing post-trauma mortality, improving diagnostic efficiency and prognostic outcomes for patients.
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Affiliation(s)
- YiLiu Wei
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
| | - Xiaohan Ren
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Zhitao Yuan
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Jie Hong
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
| | - Tao Wang
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Weizhi Chen
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
| | - Yuqing Xu
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Jinwang Ding
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Jun Lin
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Wenqian Jiang
- Institute of Applied Genomics, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
- College of Biological Science and Engineering, Fuzhou University, No. 2 Xueyuan Road, 350108 Fuzhou, China
| | - Peng Zhang
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127 Shanghai, China
| | - Qiaoyi Wu
- Department of Trauma Center & Emergency Surgery, The First Affiliated Hospital of Fujian Medical University, 350004 Fuzhou, China
- Department of Trauma Center and Emergency Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 350004 Fuzhou, China
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