Search: onr:"swepub:oai:DiVA.org:liu-133732" >
Development of Seru...
Development of Serum Marker Models to Increase Diagnostic Accuracy of Advanced Fibrosis in Nonalcoholic Fatty Liver Disease: The New LINKI Algorithm Compared with Established Algorithms
-
- Lykiardopoulos, Byron (author)
- Linköpings universitet,Institutionen för medicin och hälsa,Medicinska fakulteten
-
- Hagström, Hannes (author)
- Karolinska Institutet,Karolinska Institute, Sweden
-
- Fredrikson, Mats (author)
- Linköpings universitet,Avdelningen för neuro- och inflammationsvetenskap,Medicinska fakulteten
-
show more...
-
- Ignatova, Simone (author)
- Linköpings universitet,Avdelningen för cellbiologi,Medicinska fakulteten
-
- Stal, Per (author)
- Karolinska Institutet,Karolinska Institute, Sweden
-
- Hultcrantz, Rolf (author)
- Karolinska Institutet,Karolinska Institute, Sweden
-
- Ekstedt, Mattias (author)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken
-
- Kechagias, Stergios (author)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken
-
show less...
-
(creator_code:org_t)
- 2016-12-09
- 2016
- English.
-
In: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 11:12
- Related links:
-
https://liu.diva-por... (primary) (Raw object)
-
show more...
-
https://journals.plo...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
http://kipublication...
-
show less...
Abstract
Subject headings
Close
- Background and Aim Detection of advanced fibrosis (F3-F4) in nonalcoholic fatty liver disease (NAFLD) is important for ascertaining prognosis. Serum markers have been proposed as alternatives to biopsy. We attempted to develop a novel algorithm for detection of advanced fibrosis based on a more efficient combination of serological markers and to compare this with established algorithms. Methods We included 158 patients with biopsy-proven NAFLD. Of these, 38 had advanced fibrosis. The following fibrosis algorithms were calculated: NAFLD fibrosis score, BARD, NIKEI, NASH-CRN regression score, APRI, FIB-4, Kings score, GUCI, Lok index, Forns score, and ELF. Study population was randomly divided in a training and a validation group. A multiple logistic regression analysis using bootstrapping methods was applied to the training group. Among many variables analyzed age, fasting glucose, hyaluronic acid and AST were included, and a model (LINKI-1) for predicting advanced fibrosis was created. Moreover, these variables were combined with platelet count in a mathematical way exaggerating the opposing effects, and alternative models (LINKI-2) were also created. Models were compared using area under the receiver operator characteristic curves (AUROC). Results Of established algorithms FIB-4 and Kings score had the best diagnostic accuracy with AUROCs 0.84 and 0.83, respectively. Higher accuracy was achieved with the novel LINKI algorithms. AUROCs in the total cohort for LINKI-1 was 0.91 and for LINKI-2 models 0.89. Conclusion The LINKI algorithms for detection of advanced fibrosis in NAFLD showed better accuracy than established algorithms and should be validated in further studies including larger cohorts.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
-
PLOS ONE
(Search for host publication in LIBRIS)
To the university's database