Profile of Acute Kidney Injury in Patients with Decompensated Cirrhosis at a Tertiary-Care Center in Uttarakhand, India.

Profile of Acute Kidney Injury in Patients with Decompensated Cirrhosis at a Tertiary-Care Center in Uttarakhand, India.

Arora, Manjot S;Kaushik, Reshma;Ahmad, Shahbaj;Kaushik, Rajeev Mohan;
digestive diseases (basel, switzerland) 2019 pp. 1-9
267
arora2019profiledigestive

Abstract

To study the clinical profile and predictors of acute kidney injury (AKI) in patients with decompensated cirrhosis.This observational study was conducted at Himalayan Institute of Medical Sciences, Dehradun, India, on 175 consecutive patients with decompensated cirrhosis. Patients were studied for AKI as per International Club of Ascites-AKI criteria.The prevalence of AKI was 40.6%, with prerenal AKI 67.6%, hepatorenal syndrome (HRS) 23.8%, intrinsic renal AKI 7%, and postrenal AKI 1.4%. Mean arterial pressure (MAP), platelet count, and serum albumin were significantly lower and total leucocyte count (TLC), blood urea nitrogen, serum creatinine (SCr), total bilirubin, aspartate aminotransferase, international normalized ratio, Child-Turcotte-Pugh (CTP) score, and model for end-stage liver disease (MELD) score higher in cirrhosis patients with AKI than without AKI (p < 0.05 each). MAP, hemoglobin, TLC, and SCr were significantly different in various types of AKI (p < 0.05 each). AKI had a significant association with CTP score, alcohol, spontaneous bacterial peritonitis (SBP), sepsis, and shock (p < 0.05 each). Type of AKI had significant association with SBP, sepsis, and shock (p < 0.05 each). Mortality occurred in 33.8% patients with AKI with 64.7% mortality in patients with HRS. Outcome had significant association with AKI, stage and type of AKI (p < 0.05 each). Multivariate analysis showed SBP, sepsis, and shock as independent predictors of AKI (p < 0.05 each).AKI occurred commonly in patients with decompensated cirrhosis. Prerenal AKI and HRS were the most common types of AKI. SBP, sepsis, and shock were important predictors of AKI.

Citation

ID: 77280
Ref Key: arora2019profiledigestive
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
77280
Unique Identifier:
10.1159/000504836
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet