Repositori institucional URV
| URV's Author/s: | Feliu Rovira, Albert / Moreno Ribas, Antonio / Navarro Gil, Raúl / Romero Aroca, Pedro / Valls Mateu, Aïda |
| Author, as appears in the article.: | Romero-Aroca P; Navarro-Gil R; Feliu A; Valls A; Moreno A; Baget-Bernaldiz M |
| Author's mail: | albert.feliu@urv.cat raul.navarrog@estudiants.urv.cat antonio.moreno@urv.cat pedro.romero@urv.cat aida.valls@urv.cat |
| Author identifier: | 0000-0003-2970-205X 0000-0003-3945-2314 0000-0002-7061-8987 0000-0003-3616-7809 |
| Journal publication year: | 2021 |
| Publication Type: | Journal Publications |
| APA: | Romero-Aroca P; Navarro-Gil R; Feliu A; Valls A; Moreno A; Baget-Bernaldiz M (2021). The effect of hba1c variability as a risk measure for microangiopathy in type 1 diabetes mellitus. Diagnostics, 11(7), -. DOI: 10.3390/diagnostics11071151 |
| Papper original source: | Diagnostics. 11 (7): |
| Abstract: | Background: To measure the relationship between variability in HbA1c and microalbuminuria (MA) and diabetic retinopathy (DR) in the long term. Methods: A prospective case-series study, was conducted on 366 Type 1 Diabetes Mellitus patients with normoalbuminuria and without diabetic retinopathy at inclusion. The cohort was followed for a period of 12 years. The Cox survival analysis was used for the multivariate statistical study. The effect of variability in microangiopathy (retinopathy and nephropathy) was evaluated by calculating the standard deviation of HbA1c (SD-HbA1c ), the coefficient of variation of HbA1c (CV-HbA1c ), average real variability (ARV-HbA1c ) and variability irrespective of the mean (VIM-HbA1c ) adjusted for the other known variables. Results: A total of 106 patients developed diabetic retinopathy (29%) and 73 microalbuminuria (19.9%). Overt diabetic nephropathy, by our definition, affected only five patients (1.36%). Statistical results show that the current age, mean HbA1c, SD-HbA1c and ARV-HbA1c are significant in the development of diabetic retinopathy. Microalbuminuria was significant for current age, mean HbA1c, CV-HbA1c and ARV-HbA1c . Conclusions: By measuring the variability in HbA1c, we can use SD-HbA1c and ARV-HbA1c as possible targets for judging which patients are at risk of developing DR and MA, and CV-HbA1c as the target for severe DR. |
| Article's DOI: | 10.3390/diagnostics11071151 |
| Link to the original source: | https://www.mdpi.com/2075-4418/11/7/1151 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Medicine, general & internal Internal medicine Clinical biochemistry |
| Keywords: | Systolic blood-pressure Severity of diabetic retinopathy Hba1c variability Hba(1c) variability Hba variability 1c Diabetic retinopathy Coefficient of variation of hba1c Coefficient of variation of hba 1c to-visit variability severity of diabetic retinopathy retinopathy progression prognostic-significance nephropathy microvascular complications microalbuminuria glucose variability follow-up diabetic retinopathy coefficient of variation of hba(1c) |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-07-27 |
| Journal volume: | 11 |
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