Investigation of procalcitonin, IL-6, oxidative stress index (OSI) plasma and tissue levels in experimental mild and severe pancreatitis in rats

Soyalp, M; Yalçın, Mehmet Suat; Öter, Volkan; Ozgonul, Abdullah

doi:10.4149/bll_2017_027

Cited by 16 publications

(15 citation statements)

References 16 publications

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“…The role of IL-6 in the early and accurate prediction of severity in AP was confirmed by numerous studies [21,58,109,110]. Soyalp et al [111] found that a raised IL-6 level increased in accordance with the severity of pancreatitis, suggesting that IL-6 could act as a prognostic tool of AP. IL-6 has the best sensitivity and specificity for the early assessment of severe AP among the various proinflammatory and anti-inflammatory cytokines.…”

Section: Interleukin-6mentioning

confidence: 83%

Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Silva-Vaz

Abrantes

Castelo‐Branco

et al. 2020

IJMS

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Acute pancreatitis (AP) is a severe inflammation of the pancreas presented with sudden onset and severe abdominal pain with a high morbidity and mortality rate, if accompanied by severe local and systemic complications. Numerous studies have been published about the pathogenesis of AP; however, the precise mechanism behind this pathology remains unclear. Extensive research conducted over the last decades has demonstrated that the first 24 h after symptom onset are critical for the identification of patients who are at risk of developing complications or death. The identification of these subgroups of patients is crucial in order to start an aggressive approach to prevent mortality. In this sense and to avoid unnecessary overtreatment, thereby reducing the financial implications, the proper identification of mild disease is also important and necessary. A large number of multifactorial scoring systems and biochemical markers are described to predict the severity. Despite recent progress in understanding the pathophysiology of AP, more research is needed to enable a faster and more accurate prediction of severe AP. This review provides an overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations.

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Section: Interleukin-6mentioning

confidence: 83%

Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Silva-Vaz

Abrantes

Castelo‐Branco

et al. 2020

IJMS

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“…Fourteen of 15 patients with PCT >1 ng/mL eventually died and plasma PCT levels were significantly higher in non-survivors than in survivors. The induction amount and the plasma level of PCT directly correlate with the inflammatory reaction, [ 27 ] which indicates that enhanced responses caused by SARS-CoV-2 and more severe tissue damage in patients. Intense inflammatory response and tissue damage lead to severe organ dysfunction, and higher cardiac troponin I, creatine kinase, creatine kinase isoenzyme-MB, lactate dehydrogenase, creatinine, and other organ damage indicators occurred in nonsurvivors.…”

Section: Discussionmentioning

confidence: 99%

Impaired immune and coagulation systems may be early risk factors for COVID-19 patients

Qin¹,

Liu

Sun³

et al. 2020

Medicine

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The coronavirus disease 2019 (COVID-19) outbreak has become a global health threat and will likely be one of the greatest global challenges in the near future. The battle between clinicians and the COVID-19 outbreak may be a “protracted war.” The objective of this study was to investigate the risk factors for in-hospital mortality in patients with COVID-19, so as to provide a reference for the early diagnosis and treatment. This study retrospectively enrolled 118 patients diagnosed with COVID-19, who were admitted to Eastern District of Renmin Hospital of Wuhan University from February 04, 2020 to March 04, 2020. The demographics and laboratory data were collected and compared between survivors and nonsurvivors. The risk factors of in-hospital mortality were explored by univariable and multivariable logistic regression to construct a clinical prediction model, the prediction efficiency of which was verified by receiver-operating characteristic (ROC) curve. A total of 118 patients (49 males and 69 females) were included in this study; the results revealed that the following factors associated with in-hospital mortality: older age (odds ratio [OR] 1.175, 95% confidence interval [CI] 1.073–1.287, P = .001), neutrophil count greater than 6.3 × 10 9 cells/L (OR 7.174, (95% CI 2.295–22.432, P = .001), lymphocytopenia (OR 0.069, 95% CI 0.007–0.722, P = .026), prothrombin time >13 seconds (OR 11.869, 95% CI 1.433–98.278, P = .022), d -dimer >1 mg/L (OR 22.811, 95% CI 2.224–233.910, P = .008) and procalcitonin (PCT) >0.1 ng/mL (OR 23.022, 95% CI 3.108–170.532, P = .002). The area under the ROC curve (AUC) of the above indicators for predicting in-hospital mortality were 0.808 (95% CI 0.715–0.901), 0.809 (95% CI 0.710–0.907), 0.811 (95% CI 0.724–0.898), 0.745 (95% CI 0.643–0.847), 0.872 (95% CI 0.804–0.940), 0.881 (95% CI 0.809–0.953), respectively. The AUC of combined diagnosis of these aforementioned factors were 0.992 (95% CI 0.981–1.000). In conclusion, older age, increased neutrophil count, prothrombin time, d -dimer, PCT, and decreased lymphocyte count at admission were risk factors associated with in-hospital mortality of COVID-19. The prediction model combined of these factors could improve the early identification of mortality risk in COVID-19 patients.

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“…The severity of AP is assessed by inflammatory markers and histologic changes. The inflammatory markers most commonly used are protein C-reactive [15], pro-inflammatory cytokines [16,17], tumor necrosis factor-α [18], and procalcitonin [19]. Concerning histological evaluation, Schmidt et al [20] published the first and most commonly cited scoring system.…”

Section: Applicability Of Murine Models To Assess the Severity Of mentioning

confidence: 99%

Murine Models of Acute Pancreatitis: A Critical Appraisal of Clinical Relevance

Silva-Vaz

Abrantes

Castelo‐Branco

et al. 2019

IJMS

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Acute pancreatitis (AP) is a severe disease associated with high morbidity and mortality. Clinical studies can provide some data concerning the etiology, pathophysiology, and outcomes of this disease. However, the study of early events and new targeted therapies cannot be performed on humans due to ethical reasons. Experimental murine models can be used in the understanding of the pancreatic inflammation, because they are able to closely mimic the main features of human AP, namely their histologic glandular changes and distant organ failure. These models continue to be important research tools for the reproduction of the etiological, environmental, and genetic factors associated with the pathogenesis of this inflammatory pathology and the exploration of novel therapeutic options. This review provides an overview of several murine models of AP. Furthermore, special focus is made on the most frequently carried out models, the protocols used, and their advantages and limitations. Finally, examples are provided of the use of these models to improve knowledge of the mechanisms involved in the pathogenesis, identify new biomarkers of severity, and develop new targeted therapies.

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Investigation of procalcitonin, IL-6, oxidative stress index (OSI) plasma and tissue levels in experimental mild and severe pancreatitis in rats

Cited by 16 publications

References 16 publications

Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Impaired immune and coagulation systems may be early risk factors for COVID-19 patients

Murine Models of Acute Pancreatitis: A Critical Appraisal of Clinical Relevance

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