Literature DB >> 27122856

Proteinuria and Reduced Estimated Glomerular Filtration Rate Independently Predict Risk for Acute Myocardial Infarction: Findings from a Population-Based Study in Keelung, Taiwan.

Shu-Hsuan Chang1, Chia-Ti Tsai2, Amy Ming-Fang Yen3, Meng-Huan Lei4, Hsiu-Hsi Chen5, Chuen-Den Tseng6.   

Abstract

BACKGROUND: The aim of this study was to evaluate the independent roles of proteinuria and reduced estimated glomerular filtration rate (GFR) in the development of acute myocardial infarction in a northern Taiwanese population.
METHODS: We conducted a community-based prospective cohort study in Keelung, the northernmost county of Taiwan. A total of 63,129 subjects (63% women) ≥ 20 years of age who had no history of coronary heart disease were recruited and followed-up. Univariate and multivariate proportional hazards regression analysis was performed to assess the association between proteinuria and estimated GFR and the risk of acute myocardial infarction.
RESULTS: There were 305 new cases of acute myocardial infarction (114 women and 191 men) documented during a four-year follow-up period. After adjustment of potential confounding covariates, heavier proteinuria (dipstick urinalysis reading 3+) and estimated GFR of less than 60 ml/min/1.73 m(2) independently predicted increased risk of developing acute myocardial infarction. The adjusted hazard ratio (aHR) of heavier proteinuria for occurrence of acute myocardial infarction was 1.85 [95% confidence intervals (CI), 1.17-2.91, p < 0.01] (vs. the reference group: negative dipstick proteinuria). The aHR of estimated GFR of 30-59 ml/min/1.73 m(2) for occurrence of acute myocardial infarction was 2.4 (95% CI, 1.31-4.38, p < 0.01) (vs. the reference group: estimated GFR ≥ 90 ml/ min/1.73 m(2)), and that of estimated GFR of 15-29 ml/min/1.73 m(2) was 5.26 (95% CI, 2.26-12.26, p < 0.01).
CONCLUSIONS: We demonstrated that both heavier proteinuria and lower estimated GFR are significant independent predictors of developing future acute myocardial infarction in a northern Taiwanese population. KEY WORDS: Acute myocardial infarction; Estimated glomerular filtration rate; Proteinuria.

Entities:  

Year:  2015        PMID: 27122856      PMCID: PMC4804875          DOI: 10.6515/acs20141201a

Source DB:  PubMed          Journal:  Acta Cardiol Sin        ISSN: 1011-6842            Impact factor:   2.672


  22 in total

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2.  Microalbuminuria as an early marker for cardiovascular disease.

Authors:  Dick de Zeeuw; Hans-Henrik Parving; Robert H Henning
Journal:  J Am Soc Nephrol       Date:  2006-07-06       Impact factor: 10.121

3.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
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4.  Relation between kidney function, proteinuria, and adverse outcomes.

Authors:  Brenda R Hemmelgarn; Braden J Manns; Anita Lloyd; Matthew T James; Scott Klarenbach; Robert R Quinn; Natasha Wiebe; Marcello Tonelli
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5.  Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the community.

Authors:  Guruprasad Manjunath; Hocine Tighiouart; Hassan Ibrahim; Bonnie MacLeod; Deeb N Salem; John L Griffith; Josef Coresh; Andrew S Levey; Mark J Sarnak
Journal:  J Am Coll Cardiol       Date:  2003-01-01       Impact factor: 24.094

6.  Community-based multiple screening model: design, implementation, and analysis of 42,387 participants.

Authors:  Tony Hsiu-Hsi Chen; Yueh-Hsia Chiu; Dih-Ling Luh; Ming-Fang Yen; Hui-Min Wu; Li-Sheng Chen; Tao-Hsin Tung; Chih-Chung Huang; Chang-Chuan Chan; Ming-Neng Shiu; Yen-Po Yeh; Horng-Huei Liou; Chao-Sheng Liao; Hsin-Chih Lai; Chun-Pin Chiang; Hui-Ling Peng; Chuen-Den Tseng; Ming-Shyen Yen; Wei-Chih Hsu; Chih-Hung Chen
Journal:  Cancer       Date:  2004-04-15       Impact factor: 6.860

7.  Chronic kidney disease as a predictor of cardiovascular disease (from the Framingham Heart Study).

Authors:  Nisha I Parikh; Shih-Jen Hwang; Martin G Larson; Daniel Levy; Caroline S Fox
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8.  Prevalence of conventional risk factors in patients with coronary heart disease.

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Review 9.  Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention.

Authors:  Mark J Sarnak; Andrew S Levey; Anton C Schoolwerth; Josef Coresh; Bruce Culleton; L Lee Hamm; Peter A McCullough; Bertram L Kasiske; Ellie Kelepouris; Michael J Klag; Patrick Parfrey; Marc Pfeffer; Leopoldo Raij; David J Spinosa; Peter W Wilson
Journal:  Circulation       Date:  2003-10-28       Impact factor: 29.690

Review 10.  The relationship between proteinuria and coronary risk: a systematic review and meta-analysis.

Authors:  Vlado Perkovic; Christine Verdon; Toshiharu Ninomiya; Federica Barzi; Alan Cass; Anushka Patel; Meg Jardine; Martin Gallagher; Fiona Turnbull; John Chalmers; Jonathan Craig; Rachel Huxley
Journal:  PLoS Med       Date:  2008-10-21       Impact factor: 11.069

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1.  Changes in proteinuria and the risk of myocardial infarction in people with diabetes or pre-diabetes: a prospective cohort study.

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Journal:  Cardiovasc Diabetol       Date:  2017-08-15       Impact factor: 9.951

  1 in total

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