کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3466150 1596542 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Online combination algorithm for non-invasive assessment of chronic hepatitis B related liver fibrosis and cirrhosis in resource-limited settings
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی پزشکی و دندانپزشکی (عمومی)
پیش نمایش صفحه اول مقاله
Online combination algorithm for non-invasive assessment of chronic hepatitis B related liver fibrosis and cirrhosis in resource-limited settings
چکیده انگلیسی


• We evaluated six free noninvasive markers for chronic hepatitis B related fibrosis.
• Algorithm based on four scores and their corresponding thresholds was created.
• An online version of algorithm is available on www.chb-lfc.com.
• Algorithm is an applicable and accurate tool for diagnosis of CHB related fibrosis and cirrhosis.

ObjectiveThe use of commercially available noninvasive markers for chronic hepatitis B (CHB) related fibrosis is not widely available in developing countries so clinicians in those countries frequently use free alternatives. We aimed to create an optimized algorithm for selection of patients with the highest probability for presence/absence of significant liver fibrosis and cirrhosis based on the use of multiple free scores.MethodsWe evaluated six free noninvasive markers for CHB related fibrosis against liver biopsy and selected the best thresholds for prediction/exclusion of significant fibrosis and cirrhosis in CHB patients. Algorithm based on four scores and their corresponding thresholds was created.ResultsThe calculator based on developed algorithm can be found at http://www.chb-lfc.com. We evaluated 211 patients in main group and 65 patients in external validation group. We selected four scores for creation of combination algorithm. The algorithm was able to classify 123/211 (58.3%) patients with a 93.5% accuracy of correct classification for prediction of presence/absence of significant fibrosis in main group. In validation group, the algorithm was able to classify 48/65 (73.8%) of patients with 93.8% (45/48) overall accuracy. When used to predict presence/absence of cirrhosis, the algorithm was able to correctly classify 181/211 (85.8%) and 59/65 (90.8%) of patients in main and validation group, respectively, with an overall accuracy of 97.8% and 98.3%, respectively.ConclusionDeveloped algorithm based on routine laboratory tests is a usable, applicable and accurate tool for diagnosis of CHB related fibrosis and cirrhosis, suitable for resource-limited settings where more expensive modalities are unavailable.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Internal Medicine - Volume 26, Issue 8, October 2015, Pages 628–634
نویسندگان
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