Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/23888
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dc.contributor.authorPadeniya, A.G.P.M.
dc.contributor.authorEdiriweera, D.
dc.contributor.authorde Silva, A.
dc.contributor.authorNiriella, M.A.
dc.contributor.authorPremawardhena, A.P.
dc.date.accessioned2021-11-15T05:21:33Z
dc.date.available2021-11-15T05:21:33Z
dc.date.issued2021
dc.identifier.citationSri Lanka Medical Association, 134th Anniversary International Medical Congress. 2021; 79en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/23888
dc.descriptionOral Presentation Abstract (OP18), “Professional Excellence Towards Holistic Healthcare”, 134th Anniversary International Medical Congress, Sri Lanka Medical Association, 21st – 24th September 2021, Colombo, Sri Lankaen_US
dc.description.abstractIntroduction and Objectives Liver fibrosis in β-thalassaemia major is mainly due to transfusion-related iron overload. Transient elastography (TE) is an imaging modality which measures liver stiffness/fibrosis non-invasively. TE is simple, safe and efficient. However, inaccessibility and high-cost hinders its routine use. We designed a predictive model to evaluate liver fibrosis using demographic, anthropometric, biochemical and imaging data. Methods Sixteen patients with transfusion dependent beta thalassaemia were recruited to the study. FBC, LFT, serum ferritin and Transient Elastography (TE) and FerriScan measurements were recorded at the baseline and after two years follow up. Multiple regression model was developed to predict liver fibrosis using demographic, anthropometric, biochemical and imaging data. [age, gender, body mass index (BMI), steatosis score, liver iron content, mean pre-Hb over the last year, no of blood transfusions (lifetime), amount of blood ingested over the last year(ml/kg), amount of elemental iron by transfusions over last year(mg/ kg), serum ferritin, SGOT, SGPT and compliance with iron chelation].Results Of 16, 8 (50%) were females, mean (SD) age, BMI and fibrosis scores were 21(4.3) years, 18.8 (2.8) kgm-2 and 9.7(5.7) kPa respectively. Gender, BMI, SGOT, SGPT, compliance, number of transfusions taken lifetime showed significant association with liver fibrosis. The final model showed a coefficient of determination (R2) of 0.859. According to the model, predicted liver fibrosis is given by;-26.18 - 4.38*male+1.01*BMI - 0.11*SGPT+0.32*SGOT+2.78*compliance (rps)+0.04*no. of transfusions. ConclusionThe suggested model is a reliable tool to predict liver fibrosis in transfusion-dependent β-thalassaemia major patients in resource poor settings.en_US
dc.language.isoenen_US
dc.publisherSri Lanka Medical Associationen_US
dc.subjectThalassaemiaen_US
dc.titleAssessing liver fibrosis in patients with transfusion dependent beta thalassaemia - a predictive modelen_US
dc.typeConference Abstracten
Appears in Collections:Conference Papers

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