2019
DOI: 10.1097/md.0000000000017862
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Analysis of mortality prognostic factors using model for end-stage liver disease with incorporation of serum-sodium classification for liver cirrhosis complications

Abstract: Since the progression of cirrhosis is accelerated each time a complication recurs, the management and treatment of the complication is critical in enhancement of the quality of life and expectation of life in patients. The use of model for end-stage liver disease with incorporation of serum-sodium (MELD-Na) with physiological indicators can be used to assess severity and differentiate therapeutic interventions.This study is aimed to determine the mean survival period and cumulative survival rate by classifying… Show more

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Cited by 9 publications
(5 citation statements)
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“…We obtained a cut-off value of 17 for the MELD-Na score, relatively lower than that reported in other studies [32,33]. While most specialists focused on patients with end-stage alcoholic cirrhosis or hospitalized in an intensive care unit and scheduled for liver transplantation, we evaluated all cirrhotic subjects, regardless of the severity of the disease [33][34][35].…”
Section: Discussionmentioning
confidence: 99%
“…We obtained a cut-off value of 17 for the MELD-Na score, relatively lower than that reported in other studies [32,33]. While most specialists focused on patients with end-stage alcoholic cirrhosis or hospitalized in an intensive care unit and scheduled for liver transplantation, we evaluated all cirrhotic subjects, regardless of the severity of the disease [33][34][35].…”
Section: Discussionmentioning
confidence: 99%
“…3 Liver cirrhosis is a major health problem worldwide and is associated with increased morbidity and overall5, 10, and 15year survival rates of only 68%, 57%, and 43%, respectively. 4 Liver cirrhosis is a common disease in Nepal, mainly because of low literacy rate, lack of awareness and easy accessibility and very common use of alcohol. 5,6 Few available National data and studies on decompensated cirrhosis in hospitalized patients showed worse outcome compared to developed countries.…”
Section: Introductionmentioning
confidence: 99%
“…In intensive care units (ICU), healthcare professionals use mortality prediction models (MPMs) to triage patients [2][3][4], quantify the risk of sepsis and death [5,6], and to estimate the cost of medical treatment [7][8][9]. MPMs are also used to prognosticate weaning from ventilators, length of ICU stay, mortality, and rate of recovery [10][11][12][13][14][15]. The MPM algorithms use physiologic measures [16] within 24 h of admission into the ICU [17] to calculate a risk score [18,19].…”
Section: Introductionmentioning
confidence: 99%