Biersma, A.G.W. (2025) Changing kidney volume in ICU patients Lack of definitive association with AKI in critically ill patients in a pilot retrospective cohort study. thesis, Medicine.
Full text available on request.Abstract
Introduction Intensive care unit (ICU) admissions are frequently complicated by acute kidney injury (AKI). Kidney volume is associated with kidney function. There are two potential mechanisms for the association between kidney volume and AKI, fluid overload leading to swollen kidneys and shrunken kidneys resulting in reduced kidney function, as seen in chronic kidney disease, which could be related to the underlying causes of AKI. Anthropometric features, such as total kidney volume (TKV), could play a role in evaluating and/or predicting the risk of AKI and its potential progression. Methods This retrospective cohort study was part of the Heterogeneity of Critical Illness: a Cohort Study (HEALICS). TKV was measured on abdominal CT scans by automated segmentation at two time points during ICU admission and, if available, on a baseline scan. AKI was defined following the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Primary outcomes were AKI incidence and severity on the day of scanning related to TKV. Results Twenty-six patients were included, of whom eighteen developed AKI. Manual correction was needed in 22% (left) and 23% (right) of the kidney segmentations. No significant differences in volume were found before and after manual correction. The median TKV during ICU admission was 377 cm3 (330 - 461). TKV did not correlate with AKI on the day of scanning. ΔTKVCT1-baseline was different between groups, however, ΔTKVCT2-CT1 not. Conclusion This study is the first to successfully demonstrate the possibility of measuring TKV in ICU patients using automated segmentation software. Changes in TKV were observed, however, no clear association between TKV and AKI was found. Keywords Acute kidney injury, intensive care, total kidney volume, automated segmentation
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Leer, PhD-candidate MD B. and Koeze, dr. J. and Pillay, dr. J. |
| Faculty: | Medical Sciences |
| Date Deposited: | 23 Jan 2026 14:12 |
| Last Modified: | 23 Jan 2026 14:12 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3883 |
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