Albuminuria and Microalbuminuria as Predictors of Cognitive Performance in a General Population: An 11-Year Follow-Up Study

作者: Laura L. Ekblad , Sini Toppala , Jouni K. Johansson , Seppo Koskinen , Jouko Sundvall

DOI: 10.3233/JAD-170972

关键词: Longitudinal studyVerbal fluency testPopulationInternal medicineCognitionCognitive declineMedicineAlbuminuriaCognitive testMicroalbuminuria

摘要: Microalbuminuria, defined as urine albumin-to-creatinine ratio (UACR)>3.0 mg/mmol and ≤ 30 mg/mmol, is an early marker of endothelial damage the renal glomeruli. Recent research suggests association among microalbuminuria, albuminuria (UACR > 3.0 mg/mmol), cognitive impairment. Previous studies on albuminuria, cognition in middle-aged have not provided repeated testing at different time-points. We hypothesized that (micro- plus macroalbuminuria) microalbuminuria would predict decline independently previously reported risk factors for decline, including cardiovascular factors. In addition, we UACR levels even below cut-off might be associated with functioning. These hypotheses were tested Finnish nationwide, population-based Health 2000 Survey (n = 5,921, mean age 52.6, 55.0% women), its follow-up, 2011 (n = 3,687, baseline 49.3, 55.6% women). Linear regression analysis was used to determine associations between measures performance. Cognitive functions assessed verbal fluency, word-list learning, delayed recall (at follow-up), simple visual choice reaction time tests only). Here, show micro- macroalbuminuria poorer learning a slower baseline, steeper during 11 years after multivariate adjustments. Also, higher continuous consistently fluency microalbuminuria. results suggest value evaluating decline.

参考文章(34)
G. Cheng, C. Huang, H. Deng, H. Wang, Diabetes as a risk factor for dementia and mild cognitive impairment: a meta-analysis of longitudinal studies. Internal Medicine Journal. ,vol. 42, pp. 484- 491 ,(2012) , 10.1111/J.1445-5994.2012.02758.X
Mario Siervo, Stephanie L. Harrison, Carol Jagger, Louise Robinson, Blossom C.M. Stephan, Metabolic syndrome and longitudinal changes in cognitive function: a systematic review and meta-analysis. Journal of Alzheimer's Disease. ,vol. 41, pp. 151- 161 ,(2014) , 10.3233/JAD-132279
Laura L. Ekblad, Juha O. Rinne, Pauli J. Puukka, Hanna K. Laine, Satu E. Ahtiluoto, Raimo O. Sulkava, Matti H. Viitanen, Antti M. Jula, Insulin resistance is associated with poorer verbal fluency performance in women Diabetologia. ,vol. 58, pp. 2545- 2553 ,(2015) , 10.1007/S00125-015-3715-4
E. Ronnemaa, B. Zethelius, J. Sundelof, J. Sundstrom, M. Degerman-Gunnarsson, C. Berne, L. Lannfelt, L. Kilander, Impaired insulin secretion increases the risk of Alzheimer disease Neurology. ,vol. 71, pp. 1065- 1071 ,(2008) , 10.1212/01.WNL.0000310646.32212.3A
Masaki Mogi, Masatsugu Horiuchi, Clinical Interaction between Brain and Kidney in Small Vessel Disease. Cardiology Research and Practice. ,vol. 2011, pp. 306189- 306189 ,(2011) , 10.4061/2011/306189
Manabu Wada, Hikaru Nagasawa, Keiji Kurita, Shingo Koyama, Shigeki Arawaka, Toru Kawanami, Katsushi Tajima, Makoto Daimon, Takeo Kato, Microalbuminuria is a risk factor for cerebral small vessel disease in community-based elderly subjects Journal of the Neurological Sciences. ,vol. 255, pp. 27- 34 ,(2007) , 10.1016/J.JNS.2007.01.066
Bruce Ovbiagele, Microalbuminuria: Risk factor and potential therapeutic target for stroke? Journal of the Neurological Sciences. ,vol. 271, pp. 21- 28 ,(2008) , 10.1016/J.JNS.2008.04.007
Manjula Kurella Tamura, Paul Muntner, Virginia Wadley, Mary Cushman, Neil A. Zakai, Brian D. Bradbury, Brett Kissela, Fred Unverzagt, George Howard, David Warnock, William McClellan, Albuminuria, Kidney Function, and the Incidence of Cognitive Impairment Among Adults in the United States American Journal of Kidney Diseases. ,vol. 58, pp. 756- 763 ,(2011) , 10.1053/J.AJKD.2011.05.027
Andrew S Levey, Juan P Bosch, Julia Breyer Lewis, Tom Greene, Nancy Rogers, David Roth, Modification of Diet in Renal Disease Study Group*, A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation Annals of Internal Medicine. ,vol. 130, pp. 461- 470 ,(1999) , 10.7326/0003-4819-130-6-199903160-00002