Evaluation of the biomarker Dickkopf 3 in more than 1100 CKD patients of a German single center cohort using algorithm-based data analysis
- Objective: Dickkopf 3 (DKK3) has been identified as a urinary biomarker. Values above 4000 pg/mg creatinine (Cr) were linked with a higher risk of short-term decline of kidney function (J Am Soc Nephrol 29: 2722–2733). However, as of today, there is little experience with DKK3 as a risk marker in everyday clinical practice. We used algorithm-based data analysis to evaluate the potential dependenceObjective: Dickkopf 3 (DKK3) has been identified as a urinary biomarker. Values above 4000 pg/mg creatinine (Cr) were linked with a higher risk of short-term decline of kidney function (J Am Soc Nephrol 29: 2722–2733). However, as of today, there is little experience with DKK3 as a risk marker in everyday clinical practice. We used algorithm-based data analysis to evaluate the potential dependence of DKK3 in a cohort from a large single center in Germany. Method: DKK3 was measured in all CKD patients in our center October 1 st 2018 till Dec. 31 2019, together with calculated GFR (eGFR) and urinary albumin/creatinine ratio (UACR). Kidney transplant patients were excluded. Until the end of follow-up Dec 31 st 2021, repeated measurements were performed for all parameters. Data analysis was performed using MD-Explorer (BioArtProducts, Rostock, Germany) and Python with multiple libraries. Linear regression models were applied in patients for DKK3, eGFR and UACR. Comparison of the models was performed with a twosided Kolmogorov-Smirnov test. Results: 1206 DKK3 measurements were performed in 1103 patients (621 male, age 70yrs, eGFR 29,41 ml/min/1.73qm, UACR 800 mg/g). 134 patients died during follow-up. DKK3 mean was 2905 pg/mg Cr (max. 20000, 75 % percentile 3800). 121 pts had DKK3 > 4000. At the end of follow-up 7 % of patients with DKK3 < 4000 (initial eGFR 17.6) versus 39.6 % of patients with DDK3 > 4000 (initial eGFR 15.7) underwent dialysis. Compared to eGFR and UACR at baseline, DKK3 > 4000 performed best to predict eGFR loss over the next 12 months. Conclusion: In this cohort of CKD patients, DKK3 > 4000 at baseline predicted the eGFR slope better than eGFR or UACR at baseline. DKK3 > 4000 reflected a higher risk of progression towards ESRD in patients with similar baseline eGFR levels.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenz-Abstract |
Zitierlink: | https://opus.hs-offenburg.de/6606 | Bibliografische Angaben |
Title (English): | Evaluation of the biomarker Dickkopf 3 in more than 1100 CKD patients of a German single center cohort using algorithm-based data analysis |
Title Additional (German): | Evaluation des Biomarkers Dickkopf 3 an mehr als 1100 chronisch Nierenkranken einer deutschen Zentrumskohorte unter Einsatz einer algorithmen-basierten Datenanalyse |
Conference: | 14. Jahrestagung der Deutschen Gesellschaft für Nephrologie "Kongress für Nephrologie" 2022, 6. bis 9. Oktober 2022, Berlin |
Author: | Thomas Weinreich, Eric Seibert, E. Brohammer, Marcus Rüb, Frank Gehlen, Axel SikoraStaff MemberORCiDGND, Bernd Hohenstein |
Year of Publication: | 2022 |
Place of publication: | Berlin |
Publisher: | Deutsche Gesellschaft für Nephrologie |
First Page: | 52 |
Last Page: | 53 |
Article Number: | P019 |
Parent Title (English): | Mitteilungen der Deutschen Gesellschaft für Nephrologie |
Issue: | Supplement 01/2022 |
ISSN: | 1869-9405ZKZ 18874 |
URL: | https://d2t0unnjxes6lt.cloudfront.net/data/nephrologie/data/assets/2022/Abstractband.pdf |
Language: | English | Inhaltliche Informationen |
Institutes: | Fakultät Medien (M) (ab 22.04.2021) |
Institutes: | Bibliografie |
Tag: | algorithm-based data analysis; dickkopf 3 | Formale Angaben |
Relevance: | Keine Relevanz |
Open Access: | Open Access |
Bronze | |
Licence (German): | Urheberrechtlich geschützt |