Medicine

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    The association between steatosis and liver damage in transfusion-dependent beta thalassaemia patients
    (Wiley-Blackwell, 2023) Padeniya, P.; Ediriweera, D.; de Silva, A.P.; Niriella, M.; Premawardhena, A.
    Non-alcoholic fatty liver disease (NAFLD) is a global health problem. Iron is the leading cause of liver damage in patients with transfusion-dependent thalassaemia (TDT), and data on the contribution of NAFLD to liver damage in TDT is lacking. Forty-five heavily transfused TDT patients who did not have biochemical or ultrasonic evidence of liver cirrhosis were evaluated for effects of iron overload, including the presence of diabetes mellitus, hypogonadism, serum ferritin, R2-MRI-liver, and liver enzymes alanine aminotransferase and aspartate aminotransferase. Liver fibrosis and steatosis were estimated using transient elastography (TE). Nine (20%) patients had significant steatosis (S1), and their body mass index (BMI) and liver fibrosis scores were higher than in patients without significant steatosis (S0) (p = 0.03 and p = 0.004, respectively). On regression analysis, the controlled attenuation parameter (CAP) score (i.e., degree of liver steatosis) was associated only with increasing BMI. The TE score (i.e., degree of liver fibrosis) was associated with increasing age, CAP score, male gender, and presence of diabetes. Neither liver steatosis nor fibrosis showed significant association with the liver iron concentration or iron-related organ damage (hypogonadism). In this cohort of TDT patients, steatosis of the liver, which is associated with increasing BMI, appeared to increase the risk of liver fibrosis.
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    Development of a model for a resource limited setting, to predict the presence of oesophageal varices among newly diagnosed patients with cirrhosis.
    (Sri Lanka Medical Association., 2019) Perera, K.; Kodisinghe, S.K.; Ediriweera, D.; Moratuwagama, H.M.D.; Williams, S.; Pathmeswaran, A.; Niriella, M.A.; de Silva, H.J.
    INTRODUCTION & OBJECTIVES: In cirrhosis upper-gastrointestinal-endoscopy (UGIE) identifies oesophageal varices (OV). UGIE is unavailable in most resource-limited settings. Therefore, we assessed prediction of presence OV using hematological parameters (HP) and Child-Turcott-Pugh (CTP) class. METHODS: A prospective study was carried out on consecutive, consenting, newly-diagnosed patients with cirrhosis, in the University Medical Unit, Colombo North Teaching Hospital, Ragama, from April 20 I 4-April 2016. All patients had UGIE to evaluate presence and degree of OV, prior to appropriate therapy. HP (FBC with indices using automated analyzer and peripheral blood smear using Leishmann stain) and CTP class were assessed. Linear logistic regression model was developed to predict OV using HP and CTP class. RESULTS: 54-patients with cirrhosis were included [14(26%), 24(44%) and 16(30%) belonged to CTP class A, B and C respectively]. 37 had varices [CTP-A 4/14(26.6%), CTP-B 19/24(79.2%), CTP-C 14/16(87.5%)] on UGIE. Generalized linear model fitting showed decreasing percentage of small platelets (%SP) (P=0.002), CTP-B (P=0.003) and CTP-C (P=0.003) compared to CTP-A had higher probability of having OV. The model predicts the log odds for having OV = - 0.189 - (0.046*%SP) + 2.9 [if CTP-B] + 3.7 [if CTP-C]. Based on ROC analysis, a model value >-0.19 was selected as the cutoff point to predict OV with 89%-sensitivity, 76%-specificity, 89% positive predictive value and 76%-negative predictive value. CONCLUSION: We constructed a model using %SP on peripheral blood smear and CTP class. This model can be used to predict the presence of OV, in newly diagnosed patients with cirrhosis, with high sensitivity and specificity, avoiding the need for initial UGIE.
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