Application value of procalcitonin, C‑reactive protein and interleukin‑6 in the evaluation of traumatic shock

Yang, Li; Chen, Ling; Fang, Wenge; Chen, Huihong

doi:10.3892/etm.2019.7492

Cited by 8 publications

(12 citation statements)

References 27 publications

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“…The second elevation of serum PCT levels within 3 to 7 days post-injury can be attributed to opportunistic bacterial infections and sepsis due to a compromised immune system and early CARS and PICS in severe trauma. Infection-induced SIRS, CARS, and PICS have stronger correlations with poor prognostic outcomes of trauma compared to trauma-induced types (38,54,55). These results have been observed in both survivor and non-survivors cases following traumatic injuries, respectively (56).…”

Section: Pctmentioning

confidence: 92%

“…It typically increases within 6-12 hours, reaching a peak after 24-72 hours (37). This increase is on days 1 to 3 after admission, which continues for the following days, and is associated with poor outcomes (38). Whereas a decrease in this protein after a temporary increase at the time of admission is correlated with good prognosis (38).…”

Section: Crpmentioning

confidence: 99%

“…This increase is on days 1 to 3 after admission, which continues for the following days, and is associated with poor outcomes (38). Whereas a decrease in this protein after a temporary increase at the time of admission is correlated with good prognosis (38). Previous studies have shown a correlation of CRP serum levels within 24 to 72 hour period post-trauma with severe infectious complications (37,39).…”

Section: Crpmentioning

confidence: 99%

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Potential Immune Indicators for Predicting the Prognosis of COVID-19 and Trauma: Similarities and Disparities

et al. 2022

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Although cellular and molecular mediators of the immune system have the potential to be prognostic indicators of disease outcomes, temporal interference between diseases might affect the immune mediators, and make them difficult to predict disease complications. Today one of the most important challenges is predicting the prognosis of COVID-19 in the context of other inflammatory diseases such as traumatic injuries. Many diseases with inflammatory properties are usually polyphasic and the kinetics of inflammatory mediators in various inflammatory diseases might be different. To find the most appropriate evaluation time of immune mediators to accurately predict COVID-19 prognosis in the trauma environment, researchers must investigate and compare cellular and molecular alterations based on their kinetics after the start of COVID-19 symptoms and traumatic injuries. The current review aimed to investigate the similarities and differences of common inflammatory mediators (C-reactive protein, procalcitonin, ferritin, and serum amyloid A), cytokine/chemokine levels (IFNs, IL-1, IL-6, TNF-α, IL-10, and IL-4), and immune cell subtypes (neutrophil, monocyte, Th1, Th2, Th17, Treg and CTL) based on the kinetics between patients with COVID-19 and trauma. The mediators may help us to accurately predict the severity of COVID-19 complications and follow up subsequent clinical interventions. These findings could potentially help in a better understanding of COVID-19 and trauma pathogenesis.

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Section: Pctmentioning

confidence: 92%

Section: Crpmentioning

confidence: 99%

Section: Crpmentioning

confidence: 99%

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Potential Immune Indicators for Predicting the Prognosis of COVID-19 and Trauma: Similarities and Disparities

et al. 2022

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“…CRP is an acute-phase protein synthesized in the liver [141], which is closely related to inflammation, infection, and tissue damage, and CRP levels are not influenced by age, gender, and physical condition [142]. Clinical studies have shown that CRP plays a crucial role in monitoring the inflammatory process and infection [143].…”

Section: Discussionmentioning

confidence: 99%

Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making

et al. 2021

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has spread rapidly across the world, leading to the insufficiency of medical resources in many regions. Early detection and identification of high-risk COVID-19 patients will contribute to early intervention and optimize medical resource allocation. Using the clinical data from the Affiliated Yueqing Hospital of Wenzhou Medical University (Yueqing, China), an evolutionary support vector machine model is designed to recognize and discriminate the severity of the COVID-19 by patients basic information and hematological indexes. The support vector machine is a frequently used pattern classification tool affected by both the kernel parameter setting and feature selection for its classification accuracy. This study recommends an enhanced Slime Mould Algorithm (ESMA), mixing a new movement strategy of white holes, black holes, and wormholes, to perform parameter optimization and feature selection simultaneously for SVM. Therefore, the proposed SVM framework (ESMA-SVM) can also obtain highquality classification results, and it is less prone to stagnation in the classification process. To verify the capabilities of the proposed methodology, first, the performance of the ESMA is thoroughly verified by using IEEE CEC2017 benchmark functions and the diversity and compared with other similar methods experimentally using these standard benchmark functions. Moreover, the balance between diversification and intensification capability of the enhanced ESMA and the original SMA is also investigated statistically. Finally, the designed model ESMA-SVM and other competitive SVM models based on other optimization algorithms are applied to early recognition and discrimination of COVID-19 severity. Through the analysis of experimental results, the core compensations of ESMA are confirmed, and the ESMA-SVM can obtain strong performance in terms of several performance evaluation indexes on discrimination of COVID-19 severity.

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“…There were differences in serum PCT, CRP, and IL-6 between the good prognosis and the poor prognosis group at the time of T1–T4 ( p < 0.05). The expression levels of PCT, CRP, and IL-6 in the serum of patients with poor prognosis were higher than those with good prognosis ( p < 0.05) [ 71 ].…”

Section: Methodsmentioning

confidence: 99%

The role of procalcitonin in reducing antibiotics across the surgical pathway

et al. 2021

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Procalcitonin (PCT) is widely considered as a highly sensitive biomarker of bacterial infection, offering general and emergency surgeons a key tool in the management of surgical infections. A multidisciplinary task force of experts met in Bologna, Italy, on April 4, 2019, to clarify the key issues in the use of PCT across the surgical pathway. The panelists presented the statements developed for each of the main questions regarding the use of PCT across the surgical pathway. An agreement on the statements was reached by the Delphi method, and this document reports the executive summary of the final recommendations approved by the expert panel.

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Application value of procalcitonin, C‑reactive protein and interleukin‑6 in the evaluation of traumatic shock

Cited by 8 publications

References 27 publications

Potential Immune Indicators for Predicting the Prognosis of COVID-19 and Trauma: Similarities and Disparities

Potential Immune Indicators for Predicting the Prognosis of COVID-19 and Trauma: Similarities and Disparities

Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making

The role of procalcitonin in reducing antibiotics across the surgical pathway

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