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Endocrine Abstracts (2025) 110 P774 | DOI: 10.1530/endoabs.110.P774

ECEESPE2025 Poster Presentations MTEabolism, Nutrition and Obesity (125 abstracts)

Metabolic profile of patients with albuminuria and previously undiagnosed chronic kidney disease according to the AURA register

Gregory Arutyunov1, 2, Ekaterina Tarlovskaya1, 3, Alexander Arutyunov1, 4, Roman Bashkinov1, 5, Ekaterina Evdokimova1, 5, Anastasiia Ermilova1, Evgenii Melnikov1, 5, Tatiana Batluk1, Marina Trubnikova1, Elizaveta Gordeychuk1 & Dmitrii Evdokimov1, 5


1Association "Eurasian Association of Internal Medicine", Moscow, Russian Federation; 2Pirogov Russian National Research Medical University, Moscow, Russian Federation; 3Privolzhsky Research Medical University, Nizhny Novgorod, Russian Federation; 4National Institute of Health after academician S. Avdalbekyan, Yerevan, Armenia; 5NWSMU named after I.I. Mechnikov, Saint-Petersburg, Russian Federation


JOINT1194

Introduction: Chronic kidney disease (CKD) is one of the most common comorbid conditions in patients with metabolic syndrome. Early detection of CKD may help to improve therapeutic approaches and thus prevent disease progression and complications.

Aim: To determine the incidence of metabolic disorders in patients with subclinical albuminuria (AU).

Materials and Methods: AURA (NCT05690009) is a registry of real clinical practice in 34 regions of the Russian Federation, including 4531 patients over 40 years of age without previously diagnosed CKD, type 1 or type 2 diabetes mellitus. AU levels were measured once using test strips during the period of enrolling patients in the register. The threshold value for AU was defined as 20 mg/l. All enrolled patients were divided into 2 groups according to test result for comparative analyses.

Results: AU levels <20 mg/l were detected in 1592 patients (35.1%), whereas AU levels ≥20 mg/l were detected in 2939 patients (64.9%). Diagnostically relevant AU was more common in men (44.2% (≥20 mg/l) vs 38.6% (<20 mg/l); P < 0.001), in those who were overweight (28.1 vs 27.2 kg/m2; P < 0.001) and in smokers (19.1% vs 15.7%; P = 0.006). Among chronic diseases, metabolic syndrome (32.0% vs 23.4%; P < 0.001), hypertension (79.0% vs 71.5%; P < 0.001) and prediabetes (14.7% vs 8.9%; P < 0.001) were significantly more reported. Among laboratory markers, serum uric acid levels were found to be higher in patients with AU (316 [259;383] vs 298 [246;357] µmol/l; P < 0.001). AU was not associated with the presence of dyslipidemia (low-density lipoproteins (3.1 [2.3; 3.9] vs 3.1 [2.3; 3.9] mmol/l; P = 0.901). However, a significant association was observed between albuminuria and high-density lipoproteins (1.3 vs. 1.4 mmol/l; P < 0.001) and triglycerides (1.4 vs. 1.3 mmol/l; P = 0.002). The multivariate model revealed that the detection of AU ≥20 mg/l was significantly influenced by age, and the presence of metabolic syndrome, prediabetes and cardiovascular disease (Table 1).

Table 1. Factors with significant influence on the presence of albuminuria.
PredictorsOdds ratio95% confidence IntervalP-value
Age1.021.01-1.02<0.001
Metabolic syndrome1.231.02-1.490.034
History of myocardial infraction1.671.22-2.300.002
Atrial fibrillation1.311.05-1.650.018
Prediabetes1.581.24-2.03<0.001

Conclusion: The AURA registry has demonstrated that subclinical AU is directly associated with a number of cardiometabolic factors. Therefore, for individuals with prediabetes and metabolic syndrome, determining their AU using test strips can serve as an effective screening method for early CKD detection. This approach will enhance the delivery of medical care and facilitate timely nephroprotection.

Volume 110

Joint Congress of the European Society for Paediatric Endocrinology (ESPE) and the European Society of Endocrinology (ESE) 2025: Connecting Endocrinology Across the Life Course

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