The Role of Serum High Mobility Group Box 1 and Interleukin‐6 Levels in Acute Pancreatitis: A Meta‐Analysis

Li, Nuo; Wang, Baoming; Cai, Shuang; Liu, Pengliang

doi:10.1002/jcb.26222

Cited by 19 publications

(15 citation statements)

References 63 publications

(72 reference statements)

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“…The hepcidin levels increase during inflammation, primarily as a result of increased interleukin-6 (IL-6) [ 11 , 12 ]. When AP is present, IL-6 is one of the most important markers in predicting the severity of AP [ 13 ]. Previous studies have shown, that hepcidin is synthesized in the liver, kidney, heart, brain and muscles of the skeleton and also by the pancreas [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Prognostic Factors of Severity in Acute Biliary Pancreatitis

Silva-Vaz

Abrantes

Castelo‐Branco

et al. 2020

IJMS

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Acute pancreatitis (AP) is an inflammatory disorder of the pancreas that, when classified as severe, is associated with high morbidity and mortality. Promptly identifying the severity of AP is of extreme importance for improving clinical outcomes. The aim of this study was to compare the prognostic value of serological biomarkers, ratios, and multifactorial scores in patients with acute biliary pancreatitis and to identify the best predictors. In this observational and prospective study, the biomarkers, ratios and multifactorial scores were evaluated on admission and at 48 h of the symptom onset. On admission, regarding the AP severity, the white blood count (WBC) and neutrophil–lymphocyte ratio (NLR), and regarding the mortality, the WBC and the modified Marshall score (MMS) showed the best predictive values. At 48 h, regarding the AP severity, the hepcidin, NLR, systemic inflammatory response index (SIRI) and MMS and regarding the mortality, the NLR, hepcidin and the bedside index for severity in AP (BISAP) score, showed the best predictive values. The present study enabled the identification, for the first time, of SIRI as a new prognostic tool for AP severity, and validated hepcidin and the NLR as better prognostic markers than C-reactive protein (CRP) at 48 h of symptom onset.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Prognostic Factors of Severity in Acute Biliary Pancreatitis

Silva-Vaz

Abrantes

Castelo‐Branco

et al. 2020

IJMS

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“…It died despite being hospitalized for 6 days. Studies on AP patients and HMGB1 concentrations published to date have demonstrated an upward trend in SAP patients with SIRS [17]. This suggests that the HMGB1 level could be used as a prognostic factor for non-SIRS or early SIRS in AP patients.…”

Section: Discussionmentioning

confidence: 91%

Role of serum high-motility group box-1 (HMGB1) concentration as a prognostic factor in canine acute pancreatitis

Lee

Chae

et al. 2020

Preprint

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Background High-mobility group box-1 (HMGB1) is an intranuclear molecule that is released extracellularly in cytotoxic conditions. In acute pancreatitis, extracellular HMGB1 acts as stimulating factor in the mechanism associated with pancreatic injury. The serum level of HMGB1 may be associated with the severity and prognosis of pancreatitis. Methods To evaluate the prognostic property of serum HMGB1 levels at the time of diagnosis of pancreatitis, case control study using serum samples collected over 10 months from canine patients in Seoul National University Veterinary Medical Teaching Hospital (SNU VMTH). The HMGB1 levels in serum were measured by ELSIA and they were analyzed with patient’s death, hospitalization cost and hospitalization period. Results Serum levels of HMGB1 in patients with acute pancreatitis (n=19) were higher than those in normal individuals (n=10). Mean (± standard deviation) values were 76.00 (±46.99) and 31.65 (±18.41) ng/mL, respectively (p=0.004). The levels of HMGB1 were significantly higher in non-survivors than in survivors with acute pancreatitis (p = 0.019). Clinical severity of acute pancreatitis was categorized into three stages—mild, moderate, and severe—based on the disease activity index (DAI). Higher HMGB1 levels in serum were related to mortality in patients with moderate DAI (p = 0.049). Furthermore, higher levels of serum HMGB1 among hospitalized patients were positively associated with higher costs and longer duration of hospital stays. Conclusions The evaluation of serum HMGB1 levels at the time of diagnosis was identified as a potential prognostic factor to assess the outcome of acute pancreatitis in canines.

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“…IL‐6, an effective indicator for the degree of inflammatory response in AP, was also found to be a predictor for intra‐abdominal infection . It has been demonstrated that local and systemic IL‐6 levels were significantly elevated in course of symptomatic or lethal coinfections .…”

Section: Discussionmentioning

confidence: 99%

Artificial neural networks accurately predict intra‐abdominal infection in moderately severe and severe acute pancreatitis

Qiu

Nian

Tang

et al. 2019

J of Digest Diseases

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Objective: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression model (LRM). Methods: Patients suffering from MSAP or SAP from July 2014 to June 2017 in three affiliated hospitals of the Army Medical University in Chongqing, China, were enrolled in this study. A univariate analysis was used to determine the different parameters between patients with and without intra-abdominal infection. Subsequently, these parameters were used to build LRM and ANN. Results: Altogether 263 patients with MSAP or SAP were enrolled in this retrospective study. A total of 16 parameters that differed between patients with and without intra-abdominal infection were used to construct both models. The sensitivity of ANN and LRM was 80.99% (95% confidence interval [CI] 72.63-87.33) and 70.25% (95% CI 61.15-78.04), respectively (P > 0.05), whereas the specificity was 89.44% (95% CI 82.89-93.77) and 77.46% (95% CI 69.54-83.87), respectively (P < 0.05). ANN predicted the risk of intra-abdominal infection better than LRM (area under the receiver operating characteristic curve: 0.923 [0.883-0.952] vs 0.802 [0.749-0.849], P < 0.001). Conclusions: ANN accurately predicted intra-abdominal infection in MSAP and SAPand is an ideal tool for predicting intra-abdominal infection in such patients. Coagulation parameters played an important role in such prediction.intra-abdominal infection, logistic regression, neural network, pancreatitis Male sex, n (%) 165 (62.7) Age, y (median [IQR]) 47 (39-59) History of smoking, n (%) 76 (28.9) History of alcohol consumption, n (%) 85 (32.3) History of hypertension, n (%) 58 (22.1) History of diabetes, n (%) 31 (11.8) Admission to different departments, n (%) Department of Gastroenterology 127 (48.3) Department of Emergency 67 (25.5) Intensive care unit 69 (26.2) Etiology, n (%) Biliary 106 (40.3) Hypertriglyceridemia 92 (35.0) Alcoholic 24 (9.1) Others 41 (15.6) BMI, kg/m 2 (median [IQR]) 25.71 (23.53-27.92) Obese (BMI ≥25 kg/m 2 ), n (%) 146 (55.5) SIRS, n (%) 200 (76.0) Intra-abdominal infection, n (%) 121 (46.0) APACHE II score, median (IQR) 10 (8-13) Abbreviations: APACHE, acute physiology and chronic health evaluation; BMI, body mass index; IQR, interquartile range; SIRS, systemic inflammatory response syndrome.

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The Role of Serum High Mobility Group Box 1 and Interleukin‐6 Levels in Acute Pancreatitis: A Meta‐Analysis

Cited by 19 publications

References 63 publications

Evaluation of Prognostic Factors of Severity in Acute Biliary Pancreatitis

Evaluation of Prognostic Factors of Severity in Acute Biliary Pancreatitis

Role of serum high-motility group box-1 (HMGB1) concentration as a prognostic factor in canine acute pancreatitis

Artificial neural networks accurately predict intra‐abdominal infection in moderately severe and severe acute pancreatitis

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