Literature DB >> 32593952

Natural history and profile of selective cytokines in patients of acute pancreatitis with acute kidney injury.

Raghavendra Prasada1, Gaurav Muktesh1, Jayanta Samanta1, Phulen Sarma2, Sukhvinder Singh3, Sunil K Arora3, Narendra Dhaka1, Raja Ramachandran4, Vikas Gupta5, Saroj Kant Sinha1, Rakesh Kochhar6.   

Abstract

OBJECTIVES: To study the natural course of patients with acute pancreatitis (AP) with acute kidney injury (AKI) and their cytokine profile.
METHODS: Natural course of patients with AP and AKI was studied in 97 individuals. Levels of TNFα, IL-6, IL-10, IL-8 and IL-1β were measured at presentation and at 72 h in patients who developed AKI.
RESULTS: Amongst the entire cohort, 16.4% patients developed AKI (persistent AKI - 11 patients, transient AKI - 5 patients). Mortality rate was 25% amongst patients with AKI. Levels of IL-6 (p = 0.035) and IL-8 (p = 0.002) were found to be significantly higher in the AKI group. On multivariate analysis, IL-8 levels at baseline were found to be an independent predictor of AKI. AKI group had significant rise of TNF-α (P < 0.001), IL-6 (P < 0.001) and IL- 1β (P < 0.001) on day 3 whereas persistent-AKI group had significant rise of TNF-α (p = 0.031), IL-6 (p = 0.001) and IL-1β on day 3 and significant decline of IL-10 (p = 0.015). Using a cut-off of 105 pg/ml, IL-8 levels at baseline could predict AKI with a sensitivity of 87.5% and specificity of 59.2%, with area under the curve being 0.744 (p = 0.002).
CONCLUSION: AP patients developing AKI have poor prognosis. IL-8 levels can predict AKI in patients with AP.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute kidney injury; Acute pancreatitis; Cytokines; Organ failure

Year:  2020        PMID: 32593952     DOI: 10.1016/j.cyto.2020.155177

Source DB:  PubMed          Journal:  Cytokine        ISSN: 1043-4666            Impact factor:   3.861


  6 in total

1.  Machine Learning-Assisted Ensemble Analysis for the Prediction of Acute Pancreatitis with Acute Kidney Injury.

Authors:  Yi Yang; Wei Xiao; Xingtai Liu; Yan Zhang; Xin Jin; Xiao Li
Journal:  Int J Gen Med       Date:  2022-05-17

Review 2.  The Intersection of Acute Kidney Injury and Non-Coding RNAs: Inflammation.

Authors:  Bojun Li; Fangyou Lin; Yuqi Xia; Zehua Ye; Xinzhou Yan; Baofeng Song; Tianhui Yuan; Lei Li; Xiangjun Zhou; Weimin Yu; Fan Cheng
Journal:  Front Physiol       Date:  2022-06-09       Impact factor: 4.755

3.  Beneficial Effect of Kidney Bean Resistant Starch on Hyperlipidemia-Induced Acute Pancreatitis and Related Intestinal Barrier Damage in Rats.

Authors:  Zhaohang Zuo; Shuting Liu; Weiqiao Pang; Baoxin Lu; Wei Sun; Naidan Zhang; Xinyu Zhou; Dongjie Zhang; Ying Wang
Journal:  Molecules       Date:  2022-04-27       Impact factor: 4.927

4.  Virus related acute pancreatitis and virus superinfection in the 'Dual disease' model of acute pancreatitis and SARS-Co-V2 infection: A multicentre prospective study.

Authors:  Jayanta Samanta; Soumya Jagannath Mahapatra; Naveen Kumar; Anshuman Elhence; Jahnvi Dhar; Anany Gupta; Anugrah Dhooria; Ashish Bhalla; Manya Prasad; Aritra Das; Raju Sharma; Rakesh Kochhar; Pramod K Garg
Journal:  Pancreatology       Date:  2022-01-25       Impact factor: 3.977

5.  IL-10 -1082 A/G polymorphism is related with the risk and clinical characteristics of acute kidney injury: a case-control study.

Authors:  Haiyan Mu; Qingqing Zheng; Lihai Hao
Journal:  BMC Nephrol       Date:  2021-06-05       Impact factor: 2.388

Review 6.  Large animal models for translational research in acute kidney injury.

Authors:  Balamurugan Packialakshmi; Ian J Stewart; David M Burmeister; Kevin K Chung; Xiaoming Zhou
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

  6 in total

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