Literature DB >> 21566249

Pathophysiological basis of albumin use in cirrhosis.

Vicente Arroyo1, Javier Fernandez.   

Abstract

During the course of cirrhosis, a progressive reduction of splanchnic vascular resistance takes place in parallel with a deterioration of cardiac function manifested by the disappearance of the hyperdynamic circulation due to a fall in cardiac output. This compromises arterial pressure and determines a homeostatic activation of endogenous vasoconstrictor systems. Cirrhotic patients are prone to developing renal vasoconstriction,decreased renal perfusion and renal failure in response to insults that impairs the effective arterial blood volume such as severe bacterial infections or other clinical events that produce hypovolemia.Although circulatory dysfunction in cirrhosis predominantly affects the kidney, it has also effects on other organs and systems: brain edema and encephalopathy, increased portal pressure and decreased intestinal motility. Albumin infusion is effective in the prevention of circulatory dysfunction after therapeutic paracentesis or acute bacterial infections and in in the treatment of hepatorenal syndrome. This effectiveness may be related to the dual effect of albumin on the cardio-circulatory function, the increase in the cardiac output and in the systemic vascular resistance. The administration of intravenous albumin not only expands the plasma volume and increases cardiac preload and cardiac output but also induces arterial vasoconstriction at the level of splanchnic microcirculation. Moreover, albumin is a powerful antioxidant as well as plays a crucial role in the transport of physiologic substances and disposal of toxic substances. Impairment of albumin function is one of the most characteristic traits of cirrhosis. Administration of exogenous albumin could be beneficial because of its positive effects on microcirculation.

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Year:  2011        PMID: 21566249

Source DB:  PubMed          Journal:  Ann Hepatol        ISSN: 1665-2681            Impact factor:   2.400


  8 in total

Review 1.  Clinical use of albumin.

Authors:  Paolo Caraceni; Manuel Tufoni; Maria Elena Bonavita
Journal:  Blood Transfus       Date:  2013-09       Impact factor: 3.443

Review 2.  Management of hepatorenal syndrome in patients with cirrhosis.

Authors:  Vicente Arroyo; Javier Fernández
Journal:  Nat Rev Nephrol       Date:  2011-08-09       Impact factor: 28.314

3.  Advantages of a Novel Model for Predicting Hepatic Fibrosis in Chronic Hepatitis B Virus Carriers Compared with APRI and FIB-4 Scores.

Authors:  Na-Ling Kang; Qing-Fa Ruan; De-Sheng Zhang; Xue-Ping Yu; Zhen-Ting Hu; Zhi-Min Lin; Lu-Ying Wu; Meng-Xin Lin; Zu-Xiong Huang; Jia-Ji Jiang; Yu-Rui Liu; Ri-Cheng Mao; Da-Wu Zeng
Journal:  J Clin Transl Hepatol       Date:  2022-06-01

Review 4.  Management of Liver Decompensation in Advanced Liver Disease (Renal Impairment, Liver Failure, Adrenal Insufficiency, Cardiopulmonary Complications).

Authors:  Luis Téllez; Antonio Guerrero
Journal:  Clin Drug Investig       Date:  2022-05-06       Impact factor: 3.580

Review 5.  Role of human albumin in the management of complications of liver cirrhosis.

Authors:  Mauro Bernardi; Carmen S Ricci; Giacomo Zaccherini
Journal:  J Clin Exp Hepatol       Date:  2014-09-19

6.  Kidney biomarkers and differential diagnosis of patients with cirrhosis and acute kidney injury.

Authors:  Justin M Belcher; Arun J Sanyal; Aldo J Peixoto; Mark A Perazella; Joseph Lim; Heather Thiessen-Philbrook; Naheed Ansari; Steven G Coca; Guadalupe Garcia-Tsao; Chirag R Parikh
Journal:  Hepatology       Date:  2014-06-26       Impact factor: 17.425

7.  Commentary: "PCRRT Expert Committee ICONIC Position Paper on Prescribing Kidney Replacement Therapy in Critically Sick Children With Acute Liver Failure".

Authors:  Akash Deep; Emma C Alexander; Zaccaria Ricci; Serge Grazioli; Claudio Ronco; Stuart Goldstein; Ayse Akcan-Arikan
Journal:  Front Pediatr       Date:  2022-05-02       Impact factor: 3.418

8.  Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach.

Authors:  Johannes Thüring; Oliver Rippel; Christoph Haarburger; Dorit Merhof; Philipp Schad; Philipp Bruners; Christiane K Kuhl; Daniel Truhn
Journal:  Eur Radiol Exp       Date:  2020-04-06
  8 in total

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