Literature DB >> 24966598

Gallstones in patients with liver cirrhosis: incidence, etiology, clinical and therapeutical aspects.

Monica Acalovschi1.   

Abstract

Gallstones occur in about one third of the patients having liver cirrhosis. Pigment gallstones are the most frequent type, while cholesterol stones represent about 15% of all stones in cirrhotics. Increased secretion of unconjugated bilirubin, increased hydrolysis of conjugated bilirubin in the bile, reduced secretion of bile acids and phospholipds in bile favor pigment lithogenesis in cirrhotics. Gallbladder hypomotility also contributes to lithogenesis. The most recent data regarding risk factors for gallstones are presented. Gallstone prevalence increases with age, with a ratio male/female higher than in the general population. Chronic alcoholism, viral C cirrhosis, and non-alcoholic fatty liver disease are the underlying liver diseases most often associated with gallstones. Gallstones are often asymptomatic, and discovered incidentally. If asymptomatic, expectant management is recommended, as for asymptomatic gallstones in the general population. However, a closer follow-up of these patients is necessary in order to earlier treat symptoms or complications. For symptomatic stones, laparoscopic cholecystectomy has become the therapy of choice. Child-Pugh class and MELD score are the best predictors of outcome after cholecystectomy. Patients with severe liver disease are at highest surgical risk, therefore gallstone complications should be treated using noninvasive or minimally invasive procedures, until stabilization of the patient condition.

Entities:  

Keywords:  Asymptomatic gallstones; Cholesterol gallstones; Laparoscopic cholecystectomy; Lithogenesis; Liver cirrhosis; Pigment gallstones; Risk factors

Mesh:

Year:  2014        PMID: 24966598      PMCID: PMC4064073          DOI: 10.3748/wjg.v20.i23.7277

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


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  19 in total

1.  The model for end-stage liver disease predicts outcomes in patients undergoing cholecystectomy.

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Authors:  Ayesha Aslam Rai; Aisha Nazeer; Nasir Hassan Luck
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