Evidence mapPaperPMID 42415835Full record

ArticleClinical kidney journal2026

Urine albumin-to-creatinine ratio as a predictor of kidney function decline in Alport syndrome.

Jan Boeckhaus, Mira Choi, Annika Jens, Sima Jami, Andreas Leha, Yanqin Zhang, Jan Halbritter, Oliver Gross

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Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jan BoeckhausClinic of Nephrology and Rheumatology, University Medical Center Goettingen, Goettingen, Germany.
Mira ChoiDepartment of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Annika JensDepartment of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Sima JamiClinic of Nephrology and Rheumatology, University Medical Center Goettingen, Goettingen, Germany.
Andreas LehaDepartment of Medical Statistics, University Medical Center Goettingen, Goettingen, Germany.
Yanqin ZhangDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi An Men Da Jie, Beijing, China.
Jan HalbritterDepartment of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-1377-9880
Oliver GrossClinic of Nephrology and Rheumatology, University Medical Center Goettingen, Goettingen, Germany.ORCID https://orcid.org/0000-0002-8390-8852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease significantly impacts health and lifespan, but its progression remains difficult to predict. Therefore, there is a need for biomarkers to identify patients at risk of a rapid decline in kidney function. Alport syndrome (AS) exemplifies this challenge, as some patients experience rapid progression, while others exhibit a more gradual decline in kidney function. We hypothesized that urinary proteins, such as albumin, immunoglobulin G (IgG), or alpha-1-microglobulin, could serve as predictors of kidney function decline. Methods: This observational, non-interventional, retrospective study investigated 127 patients with AS from two centres. Yearly estimated glomerular filtration rate (eGFR) loss was modelled in a linear regression model. Results: Over a 42 ± 26-month follow-up, 24% of the patients had rapid eGFR decline (defined as a loss of >6 ml/min/1.73 m Conclusion: In this study, the amount of albuminuria was independently associated with the yearly loss of kidney function in patients with AS. Combined measurement of albuminuria and urinary IgG may identify patients with the highest risk of rapid decline in kidney function. Following external validation in a larger, prospective cohort, this approach could be used to identify patients who could potentially benefit from closer monitoring and earlier intervention.

Indexed as

Alport syndromechronic kidney disease (CKD)kidney function declineurinary albumin−creatinine ratio (UACR)urinary immunoglobulin G (IgG)

Identifiers

PMID42415835
PMCPMC13339948

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.