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DC Field | Value | Language |
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dc.contributor.author | Bandara, Muditha S | - |
dc.contributor.author | Gurunayaka, Buddika | - |
dc.contributor.author | Lakraj, Gamage Pemanatha | - |
dc.contributor.author | Pallewatte, Aruna | - |
dc.contributor.author | Siribaddana, Sisira | - |
dc.contributor.author | Wansapura, Janaka | - |
dc.date.accessioned | 2021-10-01T10:29:12Z | - |
dc.date.available | 2021-10-01T10:29:12Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Bandara MS, Gurunayaka B, Lakraj GP, Pallewatte A, Siribaddana S, Wansapura J. Sonographic Features of Chronic Kidney Disease in Agricultural Community in Sri Lanka. Am J Sonogr 2021;4:1. | en_US |
dc.identifier.uri | doi: 10.25259/AJS_14_2019 | - |
dc.identifier.uri | http://archive.cmb.ac.lk:8080/xmlui/handle/70130/6173 | - |
dc.description.abstract | Objectives: The aim of this study was to use ultrasound-based kidney morphological features to classify chronic kidney disease (CKD) in an agricultural community in Sri Lanka where there is a high prevalence of CKD with unknown etiology. Materials and Methods: A cohort of CKD patients (n = 50) and healthy subjects (n = 26) underwent B-mode renal ultrasound. CKD patients were further categorized as those clinically diagnosed with diabetes mellitus, hypertension, and other known causes (n = 30) and those of unknown etiology (n = 20). Following kidney morphological features were calculated: Length (LEN), width (WDTH), cortical thickness, volume (VOL), and shape index. Results: CKD kidneys of both groups were significantly smaller than the healthy kidneys (P < 0.001). Based on a random forest procedure, the top three influential features that distinguished CKD kidneys from healthy kidneys were: VOL normalized to waist circumference (CKD = 0.6 ± 0.2 cm2, healthy = 0.9 ± 0.2 cm2), VOL normalized to body surface area (CKD = 36 ± 9 cm3/m2, healthy = 52 ± 13 cm3/m2), and WDTH (CKD = 3.6 ± 0.5 cm, healthy = 4.3 ± 0.6 cm). Patients with CKD of unknown etiology had higher kidney LEN and VOL normalized to height (HGHT) (LEN/HGHT = 0.58 ± 0.05 cm/m, VOL/HGHT = 0.40 ± 0.09 cm3/m, P < 0.05) compared to those of the known etiology group (LEN/HGHT = 0.51 ± 0.09 cm/m, VOL/HGHT = 0.30 ± 0.10 cm3/m). Conclusion: The study shows that ultrasound-based kidney volume can distinguish healthy versus diseased kidneys as well as CKD of known versus unknown etiology. Normalizing for height is required when comparing diseased groups. | en_US |
dc.language.iso | en | en_US |
dc.subject | Chronic kidney disease, Kidney volume, Ultrasound | en_US |
dc.title | Sonographic Features of Chronic Kidney Disease in Agricultural Community in Sri Lanka | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Statistics |
Files in This Item:
File | Description | Size | Format | |
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Sonographic Features of Chronic Kidney Disease in Agricultural Community in Sri Lanka.pdf | 793.36 kB | Adobe PDF | View/Open |
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