Platelet Activation in Acute Pancreatitis

Osada, Joanna; Wereszczyńska-Siemiątkowska, Urszula; Dâbrowski, A; Dąbrowska, Milena

doi:10.1097/mpa.0b013e31824bd89f

Cited by 23 publications

(23 citation statements)

References 35 publications

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“…As there was no statistical difference in the amount of platelet counts between patients with and without intra‐abdominal infection, platelet functions, including their capacity of adhesion, aggregation, deformation and release, may be the predictive factors with greater relevance to intra‐abdominal infection, which coincides with the results of previous studies demonstrating that platelet function was altered during AP . An elevated MA indicated a hypercoagulation state in patients with intra‐abdominal infection, which is in accordance with the idea that enhanced platelet activation and a hypercoagulation state could be present in the late phase of SAP . Most of the predictive factors were coagulation parameters.…”

Section: Discussionsupporting

confidence: 87%

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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Section: Discussionsupporting

confidence: 87%

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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“…There is a stimulation of megakaryopoiesis in the early stages of the in ammatory process associated with hyperlipidemia-induced SAP, which produces a large amount of young and large platelets with high procoagulation potential [23]. Osada et al [6] observed a signi cant increase in the number of large platelets in the AP groups; the median and mean MPV remained at high levels during the acute phase in the mild and severe AP groups. Moreover, the MPV levels showed a downward trend in remission phase in patients with SAP, which supported our results.…”

Section: Discussionmentioning

confidence: 99%

Role of mean platelet volume in hypertriglyceridemia-induced acute pancreatitis during pregnancy

Zeng

Cai

Chen

et al. 2020

Preprint

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Background: Hypertriglyceridemia-induced acute pancreatitis during pregnancy (HTG-APP) is a rare but severe disease with high maternal-fetal mortality risk, which constitutes a systemic inflammatory process accompanied by thrombosis and bleeding disorders. However, the role of mean platelet volume (MPV) in HTG-APP remains unclear.Methods: In the retrospective study, we collected 45 patients with HTG-APP as the HTG-APP group and 49 pregnant females with hypertriglyceridemia as the control group. MPV and other relevant variables at onset and remission were collected and compared. Results: MPV were significantly higher in the HTG-APP group than in the control group (P < 0.001), and lower in remission than on onset (P = 0.002). According to the severity of acute pancreatitis, all subjects were classified into mild AP (MAP), moderately severe AP (MSAP), and severe AP (SAP) groups. There was a significant difference in MPV on onset among the three groups (P = 0.048), and the SAP patients had the highest levels of MPV. In addition, only in the SAP group, MPV was lower in remission than on onset (P = 0.010). Logistic regression analyses revealed that MPV was significantly associated with SAP (odds ratio = 2.077, 95% confdence interval, 1.038-4.154; P = 0.039). Conclusions: These results may indicate an important role of mean platelet volume in evaluating the severity of HTG-APP.

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“…There is a stimulation of megakaryopoiesis in the early stages of the inflammatory process associated with hyperlipidemia-induced SAP, which produces a large amount of young and large platelets with high procoagulation potential [23]. Osada et al [6] observed a significant increase in the number of large platelets in the AP groups; the median and mean MPV remained at high levels during the acute phase in the mild and severe AP groups. Moreover, the MPV levels showed a downward trend in remission phase in patients with SAP, which supported our results.…”

Section: Discussionmentioning

confidence: 99%

Role of mean platelet volume in hypertriglyceridemia-induced acute pancreatitis during pregnancy

Zeng

Cai

Chen

et al. 2020

BMC Pregnancy Childbirth

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Background Hypertriglyceridemia-induced acute pancreatitis during pregnancy (HTG-APP) is a rare but severe disease with high maternal-fetal mortality risk, which constitutes a systemic inflammatory process accompanied by thrombosis and bleeding disorders. However, the role of mean platelet volume (MPV) in HTG-APP remains unclear. Methods In the retrospective study, we collected 45 patients with HTG-APP as the HTG-APP group and 49 pregnant females with hypertriglyceridemia as the control group. MPV and other relevant variables at onset and remission were collected and compared. Results MPV were significantly higher in the HTG-APP group than in the control group (P < 0.001), and lower in remission than on onset (P = 0.002). According to the severity of acute pancreatitis, all subjects were classified into mild AP (MAP), moderately severe AP (MSAP), and severe AP (SAP) groups. There was a significant difference in MPV on onset among the three groups (P = 0.048), and the SAP patients had the highest levels of MPV. In addition, only in the SAP group, MPV was lower in remission than on onset (P = 0.010). Logistic regression analyses revealed that MPV was significantly associated with SAP (odds ratio = 2.077, 95% confdence interval, 1.038–4.154; P = 0.039). Conclusions These results may indicate an important role of mean platelet volume in evaluating the severity of HTG-APP.

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Platelet Activation in Acute Pancreatitis

Abstract: These results may indicate an important role of platelet activation in the pathogenesis of acute pancreatitis and the development of complications in S-AP.

Cited by 23 publications

References 35 publications

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

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

Role of mean platelet volume in hypertriglyceridemia-induced acute pancreatitis during pregnancy

Role of mean platelet volume in hypertriglyceridemia-induced acute pancreatitis during pregnancy

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