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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]
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Mundra, L., Rubio, G., Alqattan, H., & Thaller, S. (2018) · Aesthetic Plastic Surgery · doi:10.1007/s00266-017-1043-4 · Cited by 8
Should obesity affect suitability for kidney donation?
Sachdeva, M. (2018) · Seminars in dialysis · doi:10.1111/sdi.12711 · Cited by 8
“9) in the morbidly obese (BMI greater than or equal to 35 kg/m(2)) compared to normal weight persons.(12,13) Potential mechanisms for renal injury in the obese may be”
BackgroundComputed tomography identified factors that preclude living kidney donation.
Mastrocostas, K., Chingkoe, C., Pace, K., Barfett, J., Kirpalani, A., Mnatzakanian, G., Vlachou, P., & Colak, E. (2018) · Canadian Urological Association journal = Journal de l'Association des urologues du Canada · doi:10.5489/cuaj.4909 · Cited by 8
Lee, D.-Y., Jee, J., Ji, E. J., Kim, T. H., Jin, S.-M., Hur, K., Kim, S., Chung, J., Lee, M.-K., & Kim, J. H. (2017) · Endocrine · doi:10.1007/s12020-016-1138-8 · Cited by 8
Temporal trends in renal function and birthweight in Japanese adolescent males (1998–2015)
Kanda, T., Takeda, A., Hirose, H., Abe, T., Urai, H., Inokuchi, M., Wakino, S., Tokumura, M., Itoh, H., & Kawabe, H. (2017) · Nephrology, Dialysis and Transplantation · doi:10.1093/ndt/gfw428 · Cited by 8
“A low eGFR is a significant risk factor for a rapid decrease in eGFR [46, 47], and our findings suggest that adolescents with LBW might be more vulnerable to CKD later in life.”
Chang, P.-Y., Chien, L., Lin, Y., Chiu, W.-T., & Chiou, H. (2016) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2016.09.013 · Cited by 8
Arınsoy, T., Deger, S., Ateş, K., Altun, B., Ecder, T., Çamsarı, T., Serdengeçti, K., & Suleymanlar, G. (2016) · Journal of renal nutrition · doi:10.1053/j.jrn.2016.08.004 · Cited by 8
“23-fold increased risk of new-onset kidney disease.(23) However, our study differs from these earlier works in terms of its cross-sectional design and primary end point.”
ResultBentata, Y., Latrech, H., & Abouqal, R. (2014) · Renal Failure · doi:10.3109/0886022x.2014.899472 · Cited by 8
Sabanayagam, C., Wong, T., Liao, J.-M., Sethi, S., & Teo, B.-O. W. (2014) · Clinical and Experimental Nephrology · doi:10.1007/s10157-014-0945-6 · Cited by 8
Abraham, A., Li, X.-H., Jacobson, L., Estrella, M., Evans, R., Witt, M., & Phair, J. (2013) · AIDS Research and Human Retroviruses · doi:10.1089/aid.2012.0253 · Cited by 8
“Studies in HIV-uninfected populations have included women and found associations between lipid levels and kidney function, 5,7 suggesting that this relationship is generalizable across sexes, but studies in HIV-infected women are needed to confirm the relationship noted in the present analysis.”
Techniques, assessment, and effectiveness of bariatric surgery in combating obesity
le Roux, C. W. (2010) · Open Access Surgery · doi:10.2147/oas.s7195 · Cited by 9
“In the Framingham study, obese patients who were initially free of CKD were likely to reduce their glomerular filtration rate (GFR) over time.(97) However, in a study of 61 patients, renal parameters and renal function were markedly improved 24 months after bariatric surgery.”
Liu, H., Yu, J.-M., Chen, F., Wang, J.-S., Chen, S., Wang, F., & Hu, D. (2010) · Circulation Journal · doi:10.1253/circj.cj-09-0771 · Cited by 8
Kurth, T., de Jong, P. E., Cook, N. R., Buring, J. E., & Ridker, P. M. (2009) · BMJ · doi:10.1136/bmj.b2392 · Cited by 61
“and these risk factors predict the start of chronic kidney disease.”
BackgroundПРОБЛЕМА ОЦЕНКИ СКОРОСТИ КЛУБОЧКОВОЙ ФИЛЬТРАЦИИ ПРИ ОЖИРЕНИИ
Смирнов, А. В., Каюков, И. Г., & Румянцев, А. Ш. (2005) · doi:10.24884/1561-6274-2017-21-2-20-23 · Cited by 8
Thompson, A. S., Tresserra‐Rimbau, A., Jennings, A., Bondonno, N. P., Candussi, C. J., O’Neill, J. K., Hill, C., Gaggl, M., Cassidy, A., & Kuhn, T. E. (2024) · Journal of the American Nutrition Association · doi:10.1080/27697061.2024.2415917 · Cited by 6
Zeravica, R., Ilinčić, B., Burić, D., Jakovljevic, A., Crnobrnja, V., Ilić, D., & Papuga, M. V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252011159 · Cited by 7
“Apart from the effect of glycemia on renal function, dyslipidemias [44] and atherosclerosis [45] are also linked to the decline in kidney function.”
BackgroundSriprachot, N., Seangpraw, K., & Ong-artborirak, P. (2024) · Vascular Health and Risk Management · doi:10.2147/vhrm.s450775 · Cited by 7
Effect of MAFLD on albuminuria and the interaction between MAFLD and diabetes on albuminuria
Liu, Y., Chai, S., & Zhang, X.-M. (2023) · Journal of Diabetes · doi:10.1111/1753-0407.13501 · Cited by 7
Lee, S., Han, M., Moon, S., Kim, K., An, W. J., Ryu, H., Oh, K., & Park, S. K. (2022) · Metabolites · doi:10.3390/metabo12111139 · Cited by 9
Obesity, Weight Loss, Lifestyle Interventions, and Autosomal Dominant Polycystic Kidney Disease
Steele, C. N., & Nowak, K. L. (2022) · Kidney and Dialysis · doi:10.3390/kidneydial2010013 · Cited by 8
“After adjusting for potential confounders, higher BMI is associated with increased risk of CKD [18,33,34], reduced estimated glomerular filtration rate (eGFR) [35], decline in kidney function (eGFR slope) [36], and incidence of ESKD [19,20,37] in the general population.”
BackgroundMalek, A. M., Hunt, K. J., Turan, T. N., Mateus, J., Lackland, D. T., Lucas, A., & Wilson, D. A. (2022) · Hypertension · doi:10.1161/hypertensionaha.121.18451 · Cited by 13
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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