دورية أكاديمية
Chronic kidney disease risk calculator: new possibilities for predicting pathology in patients with diabetes mellitus
| العنوان: | Chronic kidney disease risk calculator: new possibilities for predicting pathology in patients with diabetes mellitus |
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| المؤلفون: | Olga K. Vikulova, Alina R. Elfimova, Anna V. Zheleznyakova, Mikhail A. Isakov, Minara S. Shamkhalova, Marina V. Shestakova, Natalia G. Mokrysheva |
| المصدر: | Consilium Medicum, Vol 24, Iss 4, Pp 224-233 (2022) |
| بيانات النشر: | ZAO "Consilium Medicum", 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Medicine (General) LCC:Therapeutics. Pharmacology |
| مصطلحات موضوعية: | diabetes mellitus, chronic kidney disease, risk calculator, predicting the risk of developing diabetic complications, Medicine (General), R5-920, Therapeutics. Pharmacology, RM1-950 |
| الوصف: | Background. Chronic kidney disease (CKD) is a socially significant pathology associated with an increased risk of mortality and progression to terminal stages, requiring expensive treatment with renal replacement therapy, which determines the priority of preventive strategies, especially in patients with diabetes mellitus (DM), who are at high risk of Kidney's injury. Aim. To analyze the predictors of a decrease in glomerular filtration rate (GFR) less than 60 ml/min/1.73 m2 and develop an applied CKD prediction calculator in patients with type 1 and type 2 diabetes. Materials and methods. The object of the study is a depersonalized database of the Federal Registry of DM, implemented under the auspices of the Endocrinology Research Centre. The study was based on a retrospective analysis of patients with type 1 and type 2 diabetes with different GFR dynamics over a 5-year period of 20142018. 68 911 patients were included (type 1 DM 7919 and type 2 DM 60 992). Stepwise logistic regression analysis was used to predict the risk of developing CKD. Results. Sets of the most significant predictors of CKD development were established, which included 6 factors in type 1 DM: female sex, age, body mass index, the presence of myocardial infarction, diabetic coma and retinopathy, and 11 factors in type 2 DM: female sex, age, body mass index, glycated hemoglobin, baseline GFR and total cholesterol, presence of diabetic retinopathy, neuropathy, stroke, amputations and oncology in anamnesis. Conclusion. An applied interactive CKD prognosis calculator has been developed that allows assessing the individual risk of developing pathology in patients with type 1 and type 2 diabetes based on the parameters available in routine clinical practice. The calculator has been introduced into the system of the Federal Registry of DM, which significantly expands the possibilities of diagnosing and monitoring CKD in DM. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Russian |
| تدمد: | 2075-1753 2542-2170 20751753 |
| Relation: | https://consilium.orscience.ru/2075-1753/article/viewFile/108918/83033; https://doaj.org/toc/2075-1753; https://doaj.org/toc/2542-2170 |
| DOI: | 10.26442/20751753.2022.4.201684 |
| URL الوصول: | https://doaj.org/article/7929e67f814642efb369aa49b331ea95 |
| رقم الأكسشن: | edsdoj.7929e67f814642efb369aa49b331ea95 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20751753 25422170 |
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| DOI: | 10.26442/20751753.2022.4.201684 |