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1.
PLoS One ; 10(10): e0140418, 2015.
Article in English | MEDLINE | ID: mdl-26460565

ABSTRACT

BACKGROUND AND AIMS: A method for assessment of liver fibrosis and cirrhosis without the need for a liver biopsy is desirable. Microfibrillar-associated protein 4 (MFAP4) is a suggested biomarker for identification of high-risk patients with severe fibrosis stages. This study aimed to examine associations between plasma MFAP4 (pMFAP4) and transient elastography or chronic hepatitis C virus infection in drug users and in a mixed patient cohort with increased risk of liver disease. Moreover, the study aimed to identify comorbidities that significantly influence pMFAP4. METHODS: pMFAP4 was measured in samples from 351 drug users attending treatment centres and from 248 acutely hospitalized medical patients with mixed diagnoses. Linear and logistic multivariate regression analyses were performed and nonparametric receiver operating characteristic-curves for cirrhosis were used to estimate cut-off points for pMFAP4. Univariate and subgroup analyses were performed using non-parametric methods. RESULTS: pMFAP4 increased significantly with liver fibrosis score. pMFAP4 was significantly associated with chronic viral infection in the drug users and with transient elastography in both cohorts. In the mixed patient cohort, pMFAP4 was significantly increased among patients with a previous diagnosis of liver disease or congestive heart failure compared to patients with other diagnoses. CONCLUSIONS: pMFAP4 has the potential to be used as an outreach-screening tool for liver fibrosis in drug users and in mixed medical patients. pMFAP4 level is positively associated with transient elastography, but additional studies are warranted to validate the possible use of pMFAP4 in larger cohorts and in combination with transient elastography.


Subject(s)
Carrier Proteins/blood , Extracellular Matrix Proteins/blood , Glycoproteins/blood , Liver Cirrhosis/blood , Adult , Aged , Biomarkers/blood , Biopsy , Cohort Studies , Comorbidity , Drug Users , Elasticity Imaging Techniques , Female , Heart Failure/complications , Hepatitis C, Chronic/complications , Humans , Liver/pathology , Liver Cirrhosis/virology , Male , Middle Aged , Young Adult
2.
Eur J Clin Invest ; 42(2): 146-52, 2012 Feb.
Article in English | MEDLINE | ID: mdl-21793821

ABSTRACT

BACKGROUND: Transient elastography (TE) is a new noninvasive method to assess the degree of liver fibrosis by measuring liver stiffness. The objective of this study was to determine whether increased liver stiffness in patients admitted to medical wards was associated with increased 30-day mortality. MATERIALS AND METHODS: A prospective cohort study at the medical admissions ward at Odense University Hospital, Denmark, covering a population of 300 000 inhabitants. Consecutive patients ≥ 18 years of age were examined by TE (Fibroscan) at admission. Outcome measure was 30-day mortality. RESULTS: Among 568 patients admitted during 24 days, 289 (50·8%) were included in the study, 212 (73·4%) with valid TE measurement. Increased liver stiffness (TE value > 8 kPa) was found in 22·6% (48/212). This was independently associated with cirrhosis of the liver (P < 0·001) and congestive heart failure (CHF) (P < 0·001). The estimated prevalence of cirrhosis was 7% (95% CI 4-11%). The 30-day mortality among patients with TE value > 8 kPa was 20·8% (10/48, 95%CI 10·5-35·0%) compared to patients with TE value ≤ 8 kPa 3·7% (6/164, 95%CI 1·3-7·8%) (P < 0·001), and TE value > 8 kPa was an independent predictor of death. CONCLUSIONS: Elevated TE value at admission is associated with increased mortality, cirrhosis of the liver and CHF. This information may potentially be used to improve the outcome of high-risk patients admitted to hospital.


Subject(s)
Elasticity Imaging Techniques/methods , Heart Failure/mortality , Liver Cirrhosis/mortality , Aged , Aged, 80 and over , Cohort Studies , Denmark , Female , Heart Failure/complications , Hospitalization , Humans , Liver Cirrhosis/complications , Male , Middle Aged , Prospective Studies , Regression Analysis , Time Factors
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