The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Predictors of New-Onset Kidney Disease in a Community-Based Population
Abstract
Context Kidney disease is associated with an increased risk for the development of cardiovascular disease and end-stage renal disease; however, risk factors for kidney disease have not been well studied. Objective To identify predictors of the development of new-onset kidney disease. Design, setting, and participants A community-based, longitudinal cohort study of 2585 participants who attended both a baseline examination in 1978-1982 and a follow-up examination in 1998-2001, and who were free of kidney disease at baseline. Main outcome measures Kidney disease was assessed by the Modification of Diet in Renal Disease Study equation and defined by a glomerular filtration rate (GFR) in the fifth or lower percentile ( Results At baseline, there were 1223 men and 1362 women, with a mean age of 43 years, who were free of preexisting kidney disease. After a mean follow-up of 18.5 years, 244 participants (9.4%) had developed kidney disease. In multivariable models, baseline age (odds ratio [OR], 2.36 per 10-year increment; 95% confidence interval [CI], 2.00-2.78), GFR ( or =120 mL/min per 1.73 m2), a mildly reduced GFR ( Conclusions Established cardiovascular disease risk factors are associated with the development of new-onset kidney disease. Patients with a mildly reduced GFR should be monitored for progression to kidney disease.
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“While dyslipidemia is a risk factor for progressive kidney disease (8,10,20,21)”
From Effects of Fibrates in Kidney Disease (2012) · cites this paper as [8]
Citations
Cites
Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Brenner, B. M., Cooper, M. E., de Zeeuw, D., Keane, W. F., Mitch, W. E., Parving, H.-H., Remuzzi, G., Snapinn, S. M., Zhang, Z., & Shahinfar, S. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011161 · Cited by 7,493
Lewis, E. J., Hunsicker, L. G., Clarke, W. R., Berl, T., Pohl, M. A., Lewis, J. B., Ritz, E., Atkins, R. C., Rohde, R., & Raz, I. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011303 · Cited by 5,987
Klahr, S., Levey, A. S., Beck, G. J., Caggiula, A. W., Hunsicker, L., Kusek, J. W., & Striker, G. (1994) · New England Journal of Medicine · doi:10.1056/nejm199403313301301 · Cited by 2,328
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European guidelines on cardiovascular disease prevention in clinical practice: executive summary
Graham, I., Atar, D., Borch‐Johnsen, K., Boysen, G., Burell, G. K., Cífková, R., Dallongeville, J., Backer, G. D., Ebrahim, S. B. J., Gjelsvik, B., et al. (2007) · European Heart Journal · doi:10.1093/eurheartj/ehm316 · Cited by 3,865
“219,220 Therefore, the two diseases can develop in parallel.”
Fox, C. S., Matsushita, K., Woodward, M., Bilo, H. J., Chalmers, J., Heerspink, H. J. L., Lee, B. J., Perkins, R. M., Rossing, P., Sairenchi, T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61350-6 · Cited by 1,401
Self-citationBody Mass Index and Risk for End-Stage Renal Disease
Hsu, C.-Y., McCulloch, C. E., Iribarren, C., Darbinian, J., & Go, A. S. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-1-200601030-00006 · Cited by 1,390
“Our findings are consistent with recently published data from the Framingham Offspring Study, which show that higher BMI is a risk factor for development of newonset kidney disease (23).”
ResultInfluentialEvolving importance of kidney disease: from subspecialty to global health burden
Eckardt, K.-U., Coresh, J., Devuyst, O., Johnson, R. J., Köttgen, A., Levey, A. S., & Levin, A. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60439-0 · Cited by 1,159
Diabetic kidney disease: a report from an ADA Consensus Conference
Tuttle, K. R., Bakris, G. L., Bilous, R. W., Chiang, J. L., de Boer, I. H., Goldstein-Fuchs, J., Hirsch, I. B., Kalantar-Zadeh, K., Narva, A. S., Navaneethan, S. D., et al. (2014) · Diabetes Care · doi:10.2337/dc14-1296 · Cited by 1,153
Metadata
- Authors
- Fox, C. S.
- Affiliations
- Framingham Heart Study (US)
- Corresponding author
- Fox, Caroline S.
- ORCID
- Fox, Caroline S.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2004-02-18
- Volume
- 291
- Issue
- 7
- Pages
- 844
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W1992283514
- Cited by
- 1,241
- References
- 0
- Citations by year
- 2026: 21 · 2025: 28 · 2024: 50 · 2023: 37 · 2022: 53 · 2021: 62 · 2020: 62 · 2019: 47 · 2018: 49 · 2017: 59 · 2016: 81 · 2015: 49 · 2014: 79 · 2013: 83 · 2012: 68
- FWCI
- 28.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1)
- National Heart, Lung, and Blood Institute (N01‐HC25195)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- chronic kidney disease, risk factors, glomerular filtration rate, diabetes mellitus, smoking, body mass index, age, MDRD equation, cardiovascular disease, end-stage renal disease, community-based cohort, risk prediction model, renal function decline, hyperlipidemia, antihypertensive drugs, antihypertensive medication adherence
- MeSH terms
- Adult, Aged, Cardiovascular Diseases, Female, Glomerular Filtration Rate, Humans, Kidney Diseases, Longitudinal Studies, Male, Middle Aged, Risk Factors, Logistic Models
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