Browsing by Author "Liyanage, J."

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Non-invasive diagnostic approach for diabetes using pulse wave analysis and deep learning
(MDPI, 2024) Gunathilaka, H.; Rajapaksha, R.; Kumarika, T.; Perera, D.; Herath, U.; Jayathilaka, C.; Liyanage, J.; Kalingamudali, S.
The surging prevalence of diabetes globally necessitates advancements in non-invasive diagnostics, particularly for the early detection of cardiovascular anomalies associated with the condition. This study explores the efficacy of Pulse Wave Analysis (PWA) for distinguishing diabetic from non-diabetic individuals through morphological examination of pressure pulse waveforms. The research unfolds in four phases: data accrual, preprocessing, Convolutional Neural Network (CNN) model construction, and performance evaluation. Data were procured using a multipara patient monitor, resulting in 2000 pulse waves equally divided between healthy individuals and those with diabetes. These were used to train, validate, and test three distinct CNN architectures: the conventional CNN, Visual Geometry Group (VGG16), and Residual Networks (ResNet18). The accuracy, precision, recall, and F1 score gauged each model’s proficiency. The CNN demonstrated a training accuracy of 82.09% and a testing accuracy of 80.6%. The VGG16, with its deeper structure, surpassed the baseline with training and testing accuracies of 90.2% and 86.57%, respectively. ResNet18 excelled, achieving a training accuracy of 92.50% and a testing accuracy of 92.00%, indicating its robustness in pattern recognition within pulse wave data. Deploying deep learning for diabetes screening marks progress, suggesting clinical use and future studies on bigger datasets for refinement.
Retrospective study on the foeto–maternal status of teenage pregnancies in the Dimbulagala MOH area
(Sri Lanka Medical Association, 2017) Liyanage, C.; Abeysena, H.T.C.S.; Ariyarathne, A.M.N.; Liyanage, J.; Senavirathnea, D.P.M.A.; Thilak Udayasiri, A.A.
INTRODUCTION & OBJECTIVES: A pregnancy occurring in a young woman who has not reached her 20th birthday is considered as a teenage pregnancy. The impact of consequences of teenage pregnancies in Sri Lanka is not well described. The objective of the study was to assess the foetal and maternal status of teenage pregnancies in the Dimbulagala MOH area. METHODS: A community based retrospective cohort study was carried out in the Dimbulagala MOH area. A sample of 160 teenage mothers was selected. An interviewer-administered pre–tested questionnaire was used to collect the data during the study period. Data was analyzed using SPSS 17 version. RESULTS: Of this sample of teenage mothers, 75.0% (n=120) were aged between 17 and 19 years and their highest educational level was up to grades 6-11. Out of the total sample, 75% had attained puberty before 13 years of age. From this sample, 30% had ante-natal complications in early pregnancy like anaemia, ante-partum complications and PIH. Low birth weight (less than 2.5kg) was seen in 42.1% (n=67). Only 4.4% (n=7) was admitted to the PBU due to foetal complications. CONCLUSION: Though we had an idea that teenagers encounter several problems in foetal and maternal life, this study showed those parameters were not above the national average. Further studies should be conducted to evaluate the foeto-maternal status in the future.
Translation, cross-cultural adaptation, and validation of the duke activity status index (DASI) to Sinhala language
(BioMed Central, 2024) Ranasinghe, C.; Kariyawasam, K.; Liyanage, J.; Walpita, Y.; Rajasinghe, U.; Abayadeera, A.; Chandrasinghe, P.; Gunasekara, M.; Kumarage, S.; De Silva, M.; Ranathunga, K.; Deen, K.; Ismail, H.
BACKGROUND Duke Activity Status Index (DASI) is a widely used tool to assess functional capacity among patients, but there is no Sinhala version validated for patients in Sri Lanka. This study aimed to cross-culturally adapt and test the validity and reliability of the Sinhala version of DASI (DASI-S).METHODS The translation and cross-cultural adaptation of the DASI questionnaire were conducted following the standard guidelines. It was pre-tested on ten pre-operative patients and further modified. The construct validity and reliability of DASI-S were evaluated by administering the modified final DASI-S, which comprised 12 items, along with the physical functioning sub-scale of the 36-item short-form health survey (SF-36), consisting of 10 items to eighty-one patients who were awaiting non-cardiac surgeries at university surgical wards, National Hospital of Sri Lanka (NHSL), and Colombo North Teaching Hospital (CNTH), Sri Lanka. Reliability was assessed through Cronbach alpha, while the validity was evaluated using factor analysis and Spearman's correlation. The ethical approval was obtained from the Ethics Review Committee, Faculty of Medicine, University of Colombo, Sri Lanka.RESULTS The mean age of the participants was 46.2 (± 16.6) years and the majority were females (54.3%). The mean height, weight, and body mass index of the sample were 160.5 (± 9.6) cm, 60.3 (± 11.9) kg, and 23.4 (± 4.5) kgm-2 respectively. The Cronbach's alpha coefficient for the internal consistency of DASI-S was 0.861. The concurrent validity of DASI-S was substantiated by positively correlating (p < 0.01, rs = 0.466) with the physical sub-scale of SF-36. There was a significant difference (p < 0.01) in the total score of DASI-S between the two age groups.CONCLUSIONS Sinhala version of the DASI appears to be a valid, reliable and easy-to-administer tool to assess functional capacity among patients who are awaiting non-cardiac surgeries.