Literature DB >> 24440941

Proteinuria can predict short-term prognosis in critically ill cirrhotic patients.

Li-Yuan Lin1, Chang-Chyi Jenq, Cheng-Sheng Liu, Chun-Sheng Huang, Pei-Chun Fan, Chih-Hsiang Chang, Shen-Yang Lee, Ming-Yang Chang, Ya-Chung Tian, Cheng-Chieh Hung, Ming-Hung Tsai, Ji-Tseng Fang, Chih-Wei Yang, Yung-Chang Chen.   

Abstract

BACKGROUND AND AIM: Increasing evidence supports that proteinuria is a useful tool in several clinical situations. Cirrhotic patients with proteinuria admitted to intensive care units (ICUs) have high mortality rates. This study analyzed the outcomes of critically ill cirrhotic patients and determined the prognostic value of proteinuria.
METHODS: A total of 230 cirrhotic patients were admitted to the ICU of a hospital in Taiwan between March 2008 and February 2011. We prospectively collected data, including demographic parameters and clinical characteristics, of patients on day 1 of admission to the ICU and analyzed these variables as predictors of mortality.
RESULTS: The overall ICU, hospital, and 90-day mortality rates were 54%, 60%, and 63%, respectively. The patients with proteinuria had higher rates of acute kidney injury (84% vs. 53%, P<0.001), ICU death (60% vs. 25%, P<0.001), and 90-day mortality (79% vs. 40%, P<0.001). Patients with proteinuria had a hazard ratio for 90-day mortality of 2.800 (P<0.001; 95% CI, 1.927-4.069). Multivariate analysis showed that proteinuria and the Sequential Organ Failure Assessment score were predictors of short-term prognosis.
CONCLUSIONS: Proteinuria in critically ill cirrhotic patients is associated with increased complications of liver cirrhosis, ICU mortality, and poor short-term prognosis.

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Year:  2014        PMID: 24440941     DOI: 10.1097/MCG.0000000000000060

Source DB:  PubMed          Journal:  J Clin Gastroenterol        ISSN: 0192-0790            Impact factor:   3.062


  3 in total

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Journal:  Front Physiol       Date:  2021-03-09       Impact factor: 4.566

2.  Proteinuria can predict prognosis after liver transplantation.

Authors:  Heng-Chih Pan; Ying-Jen Chen; Jhe-Ping Lin; Ming-Jung Tsai; Chang-Chyi Jenq; Wei-Chen Lee; Ming-Hung Tsai; Pei-Chun Fan; Chih-Hsiang Chang; Ming-Yang Chang; Ya-Chung Tian; Cheng-Chieh Hung; Ji-Tseng Fang; Chih-Wei Yang; Yung-Chang Chen
Journal:  BMC Surg       Date:  2016-09-15       Impact factor: 2.102

3.  Using dipstick urinalysis to predict development of acute kidney injury in patients with COVID-19.

Authors:  Meredith C McAdams; Michael Li; Pin Xu; L Parker Gregg; Jiten Patel; Duwayne L Willett; Ferdinand Velasco; Christoph U Lehmann; S Susan Hedayati
Journal:  BMC Nephrol       Date:  2022-02-01       Impact factor: 2.388

  3 in total

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