Kazumasa Yamagishi

Kazumasa Yamagishi

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2012 in The Lancet
Verified
Journal Article
Closed access
CFCaroline S Fox
Caroline S Fox
KMKunihiro Matsushita
Kunihiro Matsushita
MWMark Woodward
Mark Woodward
HBHenk Jg Bilo
Henk Jg Bilo
JCJohn Chalmers
John Chalmers
RNRobert G Nelson
Robert G Nelson

1 July 2015 in The Lancet Diabetes & Endocrinology
Verified
Journal Article
Open access
KMKunihiro Matsushita
Kunihiro Matsushita
JCJosef Coresh
Josef Coresh
YSYingying Sang
Yingying Sang
JCJohn Chalmers
John Chalmers
CFCaroline Fox
Caroline Fox
JÄJohan Ärnlöv
Johan Ärnlöv
The usefulness of estimated glomerular filtration rate (eGFR) and albuminuria for prediction of cardiovascular outcomes is controversial. We aimed to assess the addition of creatinine-based eGFR and albuminuria to traditional risk factors for prediction of cardiovascular risk with a meta-analytic approach. We meta-analysed individual-level data for 637 315 individuals without a history of cardiovascular disease from 24 cohorts (median follow-up 4·2-19·0 years) included in the Chronic Kidney Disease Prognosis Consortium. We assessed C statistic difference and reclassification improvement for cardiovascular mortality and fatal and non-fatal cases of coronary heart disease, stroke, and heart failure in a 5 year timeframe, contrasting prediction models for traditional risk factors with and without creatinine-based eGFR, albuminuria (either albumin-to-creatinine ratio [ACR] or semi-quantitative dipstick proteinuria), or both. The addition of eGFR and ACR significantly improved the discrimination of cardiovascular outcomes beyond traditional risk factors in general populations, but the improvement was greater with ACR than with eGFR, and more evident for cardiovascular mortality (C statistic difference 0·0139 [95% CI 0·0105-0·0174] for ACR and 0·0065 [0·0042-0·0088] for eGFR) and heart failure (0·0196 [0·0108-0·0284] and 0·0109 [0·0059-0·0159]) than for coronary disease (0·0048 [0·0029-0·0067] and 0·0036 [0·0019-0·0054]) and stroke (0·0105 [0·0058-0·0151] and 0·0036 [0·0004-0·0069]). Dipstick proteinuria showed smaller improvement than ACR. The discrimination improvement with eGFR or ACR was especially evident in individuals with diabetes or hypertension, but remained significant with ACR for cardiovascular mortality and heart failure in those without either of these disorders. In individuals with chronic kidney disease, the combination of eGFR and ACR for risk discrimination outperformed most single traditional predictors; the C statistic for cardiovascular mortality fell by 0·0227 (0·0158-0·0296) after omission of eGFR and ACR compared with less than 0·007 for any single modifiable traditional predictor. Creatinine-based eGFR and albuminuria should be taken into account for cardiovascular prediction, especially when these measures are already assessed for clinical purpose or if cardiovascular mortality and heart failure are outcomes of interest. ACR could have particularly broad implications for cardiovascular prediction. In populations with chronic kidney disease, the simultaneous assessment of eGFR and ACR could facilitate improved classification of cardiovascular risk, supporting current guidelines for chronic kidney disease. Our results lend some support to also incorporating eGFR and ACR into assessments of cardiovascular risk in the general population. US National Kidney Foundation, National Institute of Diabetes and Digestive and Kidney Diseases.

1 November 2012 in The Lancet
Verified
Journal Article
Closed access
BMBakhtawar K Mahmoodi
Bakhtawar K Mahmoodi
KMKunihiro Matsushita
Kunihiro Matsushita
MWMark Woodward
Mark Woodward
PBPeter J Blankestijn
Peter J Blankestijn
MCMassimo Cirillo
Massimo Cirillo
BABrad C Astor
Brad C Astor

1 April 2006 in Kidney International
Verified
Journal Article
Closed access
FIF. Irie
F. Irie
HIH. Iso
H. Iso
TST. Sairenchi
T. Sairenchi
NFN. Fukasawa
N. Fukasawa
KYKazumasa Yamagishi
Kazumasa Yamagishi
TNT. Nose
T. Nose

1 December 2004 in Stroke
Verified
Journal Article
Closed access
PDF file
AKAkihiko Kitamura
Akihiko Kitamura
HIHiroyasu Iso
Hiroyasu Iso
HIHironori Imano
Hironori Imano
TOTetsuya Ohira
Tetsuya Ohira
TOTakeo Okada
Takeo Okada
TSTakashi Shimamoto
Takashi Shimamoto
Background and Purpose— Few cohort studies have examined the association of carotid intima-media thickness (IMT) and plaque characteristics with the risk of stroke in apparently healthy persons. We examined the relationship of carotid IMT and the surface, morphology, and calcification of carotid plaques with the incidence of stroke among Japanese men. Methods— Carotid IMT and plaque were evaluated bilaterally with ultrasonography in 1289 men aged 60 to 74 years without a previous stroke or coronary heart disease. In this cohort, the subsequent incidence of stroke was investigated. Results— During the 4.5-year follow-up, 34 strokes occurred. The multivariate-adjusted relative risk (95% CI) for the highest versus lowest quartiles of maximum IMT of the common carotid artery (CCA; ≥1.07 versus ≤0.77 mm) was 3.0 (1.1 to 8.3) for stroke. The combination of CCA and internal carotid artery (ICA) wall thickness was a better predictor of the risk of stroke than was CCA wall thickness alone. Men with a plaque, defined as a focal wall thickness of ≥1.5 mm, in the ICA had a 3-fold higher risk of stroke than those without a plaque, and the plaque surface irregularity further increased the stroke risk. A significant excess risk of stroke was confined to men with an uncalcified plaque. Conclusions— Increased IMT of the CCA and an uncalcified plaque in the ICA, as assessed by ultrasonography, are risk factors for stroke in elderly Japanese men.

1 September 2008 in JACC
Verified
Journal Article
Closed access
KYKazumasa Yamagishi
Kazumasa Yamagishi
HIHiroyasu Iso
Hiroyasu Iso
CDChigusa Date
Chigusa Date
MFMitsuru Fukui
Mitsuru Fukui
KWKenji Wakai
Kenji Wakai
ATAkiko Tamakoshi
Akiko Tamakoshi