Proteinuria and Reduced Estimated Glomerular Filtration Rate Are Independently Associated With Lower Cognitive Abilities in Apparently Healthy Community-Dwelling Elderly Men in Japan: A Cross-sectional Study.

1. Etgen T, Chonchol M, Förstl H, Sander D. Chronic kidney disease

and cognitive impairment: a systematic review and meta-analysis.

Am J Nephrol. 2012;35:474–482.

2. Deckers K, Camerino I, van Boxtel MP, et al. Dementia risk in renal

dysfunction: a systematic review and meta-analysis of prospective

studies. Neurology. 2017;88:198–208.

3. Ueshima H, Kadowaki T, Hisamatsu T, et al; ACCESS and SESSA

Research Groups. Lipoprotein-associated phospholipase A2 is

related to risk of subclinical atherosclerosis but is not supported

Fujiyoshi A, et al.

4.

5.

6.

7.

8.

9.

10.

11.

12.

13.

14.

15.

16.

17.

18.

19.

20.

by Mendelian randomization analysis in a general Japanese

population. Atherosclerosis. 2016;246:141–147.

Fujiyoshi A, Miura K, Ohkubo T, et al; SESSA Research Group;

MESA Research Group. Cross-sectional comparison of coronary

artery calcium scores between Caucasian men in the United States

and Japanese men in Japan: the multi-ethnic study of atherosclerosis

and the Shiga epidemiological study of subclinical atherosclerosis.

Am J Epidemiol. 2014;180:590–598.

Fujiyoshi A, Miura K, Kadowaki S, et al; SESSA Research Group.

Lifetime cigarette smoking is associated with abdominal obesity in a

community-based sample of Japanese men: the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA). Prev Med

Rep. 2016;4:225–232.

Sekikawa A, Ueshima H, Kadowaki T, et al. Less subclinical

atherosclerosis in Japanese men in Japan than in White men in the

United States in the post-World War II birth cohort. Am J Epidemiol.

2007;165:617–624.

Yamazoe M, Hisamatsu T, Miura K, et al; SESSA Research Group.

Relationship of insulin resistance to prevalence and progression of

coronary artery calcification beyond metabolic syndrome components: Shiga Epidemiological Study of Subclinical Atherosclerosis.

Arterioscler Thromb Vasc Biol. 2016;36:1703–1708.

Nakamura M, Sato S, Shimamoto T. Improvement in Japanese

clinical laboratory measurements of total cholesterol and HDLcholesterol by the US Cholesterol Reference Method Laboratory

Network. J Atheroscler Thromb. 2003;10:145–153.

Friedewald WT, Levy RI, Fredrickson DS. Estimation of the

concentration of low-density lipoprotein cholesterol in plasma,

without use of the preparative ultracentrifuge. Clin Chem. 1972;18:

499–502.

Kashiwagi A, Kasuga M, Araki E, et al; Committee on the

Standardization of Diabetes Mellitus-Related Laboratory Testing

of Japan Diabetes Society. International clinical harmonization

of glycated hemoglobin in Japan: from Japan Diabetes Society

to National Glycohemoglobin Standardization Program values.

J Diabetes Investig. 2012;3:39–40.

Kessler RC, Andrews G, Colpe LJ, et al. Short screening scales to

monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32:959–976.

Sakurai K, Nishi A, Kondo K, Yanagida K, Kawakami N. Screening

performance of K6=K10 and other screening instruments for mood

and anxiety disorders in Japan. Psychiatry Clin Neurosci. 2011;65:

434–441.

Teng EL, Hasegawa K, Homma A, et al. The Cognitive Abilities

Screening Instrument (CASI): a practical test for cross-cultural

epidemiological studies of dementia. Int Psychogeriatr. 1994;6:45–

58; discussion 62.

Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A

practical method for grading the cognitive state of patients for the

clinician. J Psychiatr Res. 1975;12:189–198.

Horio M, Imai E, Yasuda Y, Watanabe T, Matsuo S. Modification of

the CKD epidemiology collaboration (CKD-EPI) equation for

Japanese: accuracy and use for population estimates. Am J Kidney

Dis. 2010;56:32–38.

Imai E, Yasuda Y, Makino H. Japan Association of Chronic Kidney

Disease Initiatives (J-CKDI). Japan Med Assoc J. 2011;54:403–405.

Levey AS, Stevens LA, Schmid CH, et al; CKD-EPI (Chronic

Kidney Disease Epidemiology Collaboration). A new equation to

estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–

612.

Stevens LA, Schmid CH, Greene T, et al. Comparative performance

of the CKD Epidemiology Collaboration (CKD-EPI) and the

Modification of Diet in Renal Disease (MDRD) Study equations

for estimating GFR levels above 60 mL=min=1.73 m2. Am J Kidney

Dis. 2010;56:486–495.

Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work

Group. KDIGO 2012 Clinical Practice Guideline for the Evaluation

and Management of Chronic Kidney Disease. Kidney Int Suppl

(2011). 2013;3:5–14.

Matsushita K, Mahmoodi BK, Woodward M, et al; Chronic Kidney

21.

22.

23.

24.

25.

26.

27.

28.

29.

30.

31.

32.

33.

34.

35.

36.

37.

38.

39.

Disease Prognosis Consortium. Comparison of risk prediction using

the CKD-EPI equation and the MDRD study equation for estimated

glomerular filtration rate. JAMA. 2012;307:1941–1951.

Ohsawa M, Tanno K, Itai K, et al. Comparison of predictability of

future cardiovascular events between chronic kidney disease (CKD)

stage based on CKD epidemiology collaboration equation and that

based on modification of diet in renal disease equation in the

Japanese general population—Iwate KENCO Study. Circ J. 2013;

77:1315–1325.

Matsuo S, Imai E, Horio M, et al; Collaborators developing the

Japanese equation for estimated GFR. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis.

2009;53:982–992.

The Japanese Society of Nephrology. Evidence-based Clinical

Practice Guideline for CKD 2018. Tokyo: Tokyo Igakusha; 2018.

Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD

Update Work Group. KDIGO 2017 Clinical Practice Guideline

Update for the Diagnosis, Evaluation, Prevention, and Treatment of

Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD).

Kidney Int Suppl (2011). 2017;7:1–59.

Japan Atherosclerosis Society. Japan Atherosclerosis Society (JAS)

Guidelines for Prevention of Atherosclerotic Cardiovasculear

Diseases 2017. Tokyo, Japan; 2017.

Ylikoski R, Erkinjuntti T, Sulkava R, Juva K, Tilvis R, Valvanne J.

Correction for age, education and other demographic variables in the

use of the Mini Mental State Examination in Finland. Acta Neurol

Scand. 1992;85:391–396.

Crum RM, Anthony JC, Bassett SS, Folstein MF. Population-based

norms for the Mini-Mental State Examination by age and

educational level. JAMA. 1993;269:2386–2391.

Schmand B, Smit J, Lindeboom J, et al. Low education is a genuine

risk factor for accelerated memory decline and dementia. J Clin

Epidemiol. 1997;50:1025–1033.

Sasaki Y, Marioni R, Kasai M, Ishii H, Yamaguchi S, Meguro K.

Chronic kidney disease: a risk factor for dementia onset: a population-based study. The Osaki-Tajiri Project. J Am Geriatr Soc. 2011;

59:1175–1181.

Georgakis MK, Dimitriou NG, Karalexi MA, et al. Albuminuria in

association with cognitive function and dementia: a systematic

review and meta-analysis. J Am Geriatr Soc. 2017;65:1190–1198.

Bugnicourt JM, Godefroy O, Chillon JM, Choukroun G, Massy ZA.

Cognitive disorders and dementia in CKD: the neglected kidneybrain axis. J Am Soc Nephrol. 2013;24:353–363.

Takae K, Hata J, Ohara T, et al. Albuminuria increases the risks for

both Alzheimer disease and vascular dementia in communitydwelling Japanese elderly: the Hisayama Study. J Am Heart Assoc.

2018;7:e006693.

Khatri M, Nickolas T, Moon YP, et al. CKD associates with

cognitive decline. J Am Soc Nephrol. 2009;20:2427–2432.

Jassal SK, Kritz-Silverstein D, Barrett-Connor E. A prospective

study of albuminuria and cognitive function in older adults: the

Rancho Bernardo study. Am J Epidemiol. 2010;171:277–286.

Chronic Kidney Disease Prognosis Consortium, Matsushita K,

van der Velde M, Astor BC, et al. Association of estimated

glomerular filtration rate and albuminuria with all-cause and

cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375:2073–2081.

Makin SD, Cook FA, Dennis MS, Wardlaw JM. Cerebral small

vessel disease and renal function: systematic review and metaanalysis. Cerebrovasc Dis. 2015;39:39–52.

Vogels SC, Emmelot-Vonk MH, Verhaar HJ, Koek HL. The

association of chronic kidney disease with brain lesions on MRI or

CT: a systematic review. Maturitas. 2012;71:331–336.

Sedaghat S, Ding J, Eiriksdottir G, et al. The AGES-Reykjavik

Study suggests that change in kidney measures is associated with

subclinical brain pathology in older community-dwelling persons.

Kidney Int. 2018;94:608–615.

Pantoni L. Cerebral small vessel disease: from pathogenesis and

clinical characteristics to therapeutic challenges. Lancet Neurol.

2010;9:689–701.

J Epidemiol 2020;30(6):244-252

251

Proteinuria, eGFR and Cognitive Function

40. Plassman BL, Williams JW Jr, Burke JR, Holsinger T, Benjamin S.

Systematic review: factors associated with risk for and possible

prevention of cognitive decline in later life. Ann Intern Med. 2010;

153:182–193.

41. Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention,

intervention, and care. Lancet. 2017;390:2673–2734.

42. Chonchol M, Lippi G, Salvagno G, Zoppini G, Muggeo M, Targher

G. Prevalence of subclinical hypothyroidism in patients with chronic

kidney disease. Clin J Am Soc Nephrol. 2008;3:1296–1300.

43. Webster AC, Nagler EV, Morton RL, Masson P. Chronic kidney

disease. Lancet. 2017;389:1238–1252.

252

J Epidemiol 2020;30(6):244-252

44. La Rue A, Jarvik LF. Cognitive function and prediction of dementia

in old age. Int J Aging Hum Dev. 1987;25:79–89.

45. Cervilla J, Prince M, Joels S, Lovestone S, Mann A. Premorbid

cognitive testing predicts the onset of dementia and Alzheimer’s

disease better than and independently of APOE genotype. J Neurol

Neurosurg Psychiatry. 2004;75:1100–1106.

46. Knopman DS, Gottesman RF, Sharrett AR, et al. Midlife vascular

risk factors and midlife cognitive status in relation to prevalence

of mild cognitive impairment and dementia in later life: the

Atherosclerosis Risk in Communities Study. Alzheimers Dement.

2018;14:1406–1415.

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