TY - JOUR
T1 - Adherence to Healthy Dietary Patterns and Risk of CKD Progression and All-Cause Mortality
T2 - Findings From the CRIC (Chronic Renal Insufficiency Cohort) Study
AU - CRIC Study Investigators
AU - Hu, Emily A.
AU - Coresh, Josef
AU - Anderson, Cheryl A.M.
AU - Appel, Lawrence J.
AU - Grams, Morgan E.
AU - Crews, Deidra C.
AU - Mills, Katherine T.
AU - He, Jiang
AU - Scialla, Julia
AU - Rahman, Mahboob
AU - Navaneethan, Sankar D.
AU - Lash, James P.
AU - Ricardo, Ana C.
AU - Feldman, Harold I.
AU - Weir, Matthew R.
AU - Shou, Haochang
AU - Rebholz, Casey M.
AU - Go, Alan S.
AU - Rao, Panduranga S.
AU - Townsend, Raymond R.
N1 - Funding Information:
Funding for the CRIC Study was obtained under a cooperative agreement from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; grants U01DK060990 , U01DK060984 , U01DK061022 , U01DK061021 , U01DK061028 , U01DK060980 , U01DK060963 , and U01DK060902 ). In addition, this work was supported in part by Perelman School of Medicine at the University of Pennsylvania Clinical and Translational Science Award (CTSA) National Institutes of Health (NIH)/ National Center for Advancing Translational Sciences (NCATS) grant UL1TR000003 , Johns Hopkins University grant UL1 TR-000424 , University of Maryland grant General Clinical Research Center M01 RR-16500 , the Clinical and Translational Science Collaborative of Cleveland , grant UL1TR000439 from the NCATS component of the NIH and NIH Roadmap for Medical Research, Michigan Institute for Clinical and Health Research grant UL1TR000433 , University of Illinois at Chicago CTSA grant UL1RR029879 , Tulane Center of Biomedical Research Excellence for Clinical and Translational Research in Cardiometabolic Diseases grant P20 GM109036 , and Kaiser Permanente NIH/ National Center for Research Resources University of California San Francisco- Clinical & Translational Science Institute grant UL1 RR-024131 . Dr Ricardo is funded by NIDDK award K23DK094829 . Dr Lash is funded by NIDDK awards K24DK092290 and R01-DK072231-91 . Dr Hu is supported by a grant from the NIH / National Heart, Lung, and Blood Institute (NHLBI; training grant T32 HL007024 ). Dr Crews is supported in part by grant 1K24 HL148181 from NHLBI . Dr Mills is supported in part by grant P20GM109036 from the National Institute of General Medical Sciences . Dr Rebholz is supported by a mentored research scientist development award from the NIDDK ( K01 DK107782 ) and a grant from the NHLBI ( R21 HL143089 ). The funders had no role in the study design; collection, analysis, and interpretation of the data; writing the report; or the decision to submit the report for publication.
Funding Information:
The CRIC Study Investigators not already named in the author list include Alan S. Go, MD (Kaiser Permanente Division of Research), Panduranga S. Rao, MD (University of Michigan), and Raymond R. Townsend, MD (University of Pennsylvania). Emily A. Hu, PhD, Josef Coresh, PhD, Cheryl A.M. Anderson, PhD, Lawrence J. Appel, MD, Morgan E. Grams, MD, Deidra C. Crews, MD, ScM, Katherine T. Mills, PhD, Jiang He, MD, PhD, Julia Scialla, MD, Mahboob Rahman, MD, Sankar D. Navaneethan, MD, James P. Lash, MD, Ana C. Ricardo, MD, Harold I. Feldman, MD, MSCE, Matthew R. Weir, MD, Haochang Shou, PhD, and Casey M. Rebholz, PhD. Research idea and study design: EAH, CMR; data analysis/interpretation: EAH, CMR, JC, CAMA, LJA, MEG, DCC, KTM, JH, JS, MR, SDN, JPL, ACR, HIF, MRW, HS; mentorship: CMR. Each author contributed important intellectual content during manuscript drafting or revision and agrees to be personally accountable for the individual's own contributions and to ensure that questions pertaining to the accuracy or integrity of any portion of the work, even one in which the author was not directly involved, are appropriately investigated and resolved, including with documentation in the literature if appropriate. Funding for the CRIC Study was obtained under a cooperative agreement from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; grants U01DK060990, U01DK060984, U01DK061022, U01DK061021, U01DK061028, U01DK060980, U01DK060963, and U01DK060902). In addition, this work was supported in part by Perelman School of Medicine at the University of Pennsylvania Clinical and Translational Science Award (CTSA) National Institutes of Health (NIH)/National Center for Advancing Translational Sciences (NCATS) grant UL1TR000003, Johns Hopkins University grant UL1 TR-000424, University of Maryland grant General Clinical Research Center M01 RR-16500, the Clinical and Translational Science Collaborative of Cleveland, grant UL1TR000439 from the NCATS component of the NIH and NIH Roadmap for Medical Research, Michigan Institute for Clinical and Health Research grant UL1TR000433, University of Illinois at Chicago CTSA grant UL1RR029879, Tulane Center of Biomedical Research Excellence for Clinical and Translational Research in Cardiometabolic Diseases grant P20 GM109036, and Kaiser Permanente NIH/National Center for Research Resources University of California San Francisco-Clinical & Translational Science Institute grant UL1 RR-024131. Dr Ricardo is funded by NIDDK award K23DK094829. Dr Lash is funded by NIDDK awards K24DK092290 and R01-DK072231-91. Dr Hu is supported by a grant from the NIH/National Heart, Lung, and Blood Institute (NHLBI; training grant T32 HL007024). Dr Crews is supported in part by grant 1K24 HL148181 from NHLBI. Dr Mills is supported in part by grant P20GM109036 from the National Institute of General Medical Sciences. Dr Rebholz is supported by a mentored research scientist development award from the NIDDK (K01 DK107782) and a grant from the NHLBI (R21 HL143089). The funders had no role in the study design; collection, analysis, and interpretation of the data; writing the report; or the decision to submit the report for publication. Dr Scialla has received consulting fees from Tricida and modest research support for clinical trial event committees from GlaxoSmithKline and Sanofi. The remaining authors declare that they have no other relevant financial interests. The authors thank the staff and participants of the CRIC Study for important contributions. Some of the data reported here have been supplied by the US Renal Data System. The interpretation and reporting of these data are the responsibility of the author(s) and in no way should be seen as an official policy or interpretation of the US government. Received November 25, 2019. Evaluated by 3 external peer reviewers, with editorial input from a Statistics/Methods Editor and an Acting Editor-in-Chief (Editorial Board Member Jeffrey Perl, MD, FRCP(C), SM). Accepted in revised form April 23, 2020. The involvement of an Acting Editor-in-Chief to handle the peer-review and decision-making processes was to comply with AJKD's procedures for potential conflicts of interest for editors, described in the Information for Authors & Journal Policies.
Publisher Copyright:
© 2020 National Kidney Foundation, Inc.
PY - 2021/2
Y1 - 2021/2
N2 - Rationale & Objective: Current dietary guidelines recommend that patients with chronic kidney disease (CKD) restrict individual nutrients, such as sodium, potassium, phosphorus, and protein. This approach can be difficult for patients to implement and ignores important nutrient interactions. Dietary patterns are an alternative method to intervene on diet. Our objective was to define the associations of 4 healthy dietary patterns with risk for CKD progression and all-cause mortality among people with CKD. Study Design: Prospective cohort study. Setting & Participants: 2,403 participants aged 21 to 74 years with estimated glomerular filtration rates of 20 to 70 mL/min/1.73 m2 and dietary data in the Chronic Renal Insufficiency Cohort (CRIC) Study. Exposures: Healthy Eating Index-2015, Alternative Healthy Eating Index-2010, alternate Mediterranean diet (aMed), and Dietary Approaches to Stop Hypertension (DASH) diet scores were calculated from food frequency questionnaires. Outcomes: (1) CKD progression defined as ≥50% estimated glomerular filtration rate decline, kidney transplantation, or dialysis and (2) all-cause mortality. Analytical Approach: Cox proportional hazards regression models adjusted for demographic, lifestyle, and clinical covariates to estimate hazard ratios (HRs) and 95% CIs. Results: There were 855 cases of CKD progression and 773 deaths during a maximum of 14 years. Compared with participants with the lowest adherence, the most highly adherent tertile of Alternative Healthy Eating Index-2010, aMed, and DASH had lower adjusted risk for CKD progression, with the strongest results for aMed (HR, 0.75; 95% CI, 0.62-0.90). Compared with participants with the lowest adherence, the highest adherence tertiles for all scores had lower adjusted risk for all-cause mortality for each index (24%-31% lower risk). Limitations: Self-reported dietary intake. Conclusions: Greater adherence to several healthy dietary patterns is associated with lower risk for CKD progression and all-cause mortality among people with CKD. Guidance to adopt healthy dietary patterns can be considered as a strategy for managing CKD.
AB - Rationale & Objective: Current dietary guidelines recommend that patients with chronic kidney disease (CKD) restrict individual nutrients, such as sodium, potassium, phosphorus, and protein. This approach can be difficult for patients to implement and ignores important nutrient interactions. Dietary patterns are an alternative method to intervene on diet. Our objective was to define the associations of 4 healthy dietary patterns with risk for CKD progression and all-cause mortality among people with CKD. Study Design: Prospective cohort study. Setting & Participants: 2,403 participants aged 21 to 74 years with estimated glomerular filtration rates of 20 to 70 mL/min/1.73 m2 and dietary data in the Chronic Renal Insufficiency Cohort (CRIC) Study. Exposures: Healthy Eating Index-2015, Alternative Healthy Eating Index-2010, alternate Mediterranean diet (aMed), and Dietary Approaches to Stop Hypertension (DASH) diet scores were calculated from food frequency questionnaires. Outcomes: (1) CKD progression defined as ≥50% estimated glomerular filtration rate decline, kidney transplantation, or dialysis and (2) all-cause mortality. Analytical Approach: Cox proportional hazards regression models adjusted for demographic, lifestyle, and clinical covariates to estimate hazard ratios (HRs) and 95% CIs. Results: There were 855 cases of CKD progression and 773 deaths during a maximum of 14 years. Compared with participants with the lowest adherence, the most highly adherent tertile of Alternative Healthy Eating Index-2010, aMed, and DASH had lower adjusted risk for CKD progression, with the strongest results for aMed (HR, 0.75; 95% CI, 0.62-0.90). Compared with participants with the lowest adherence, the highest adherence tertiles for all scores had lower adjusted risk for all-cause mortality for each index (24%-31% lower risk). Limitations: Self-reported dietary intake. Conclusions: Greater adherence to several healthy dietary patterns is associated with lower risk for CKD progression and all-cause mortality among people with CKD. Guidance to adopt healthy dietary patterns can be considered as a strategy for managing CKD.
KW - CKD progression
KW - Dietary patterns
KW - chronic kidney disease (CKD)
KW - dietary intake
KW - dietary score
KW - food frequency questionnaire (FFQ)
KW - healthy eating
KW - modifiable risk factor
KW - mortality
KW - nutrition
KW - renal
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U2 - 10.1053/j.ajkd.2020.04.019
DO - 10.1053/j.ajkd.2020.04.019
M3 - Article
C2 - 32768632
AN - SCOPUS:85092231066
SN - 0272-6386
VL - 77
SP - 235
EP - 244
JO - American Journal of Kidney Diseases
JF - American Journal of Kidney Diseases
IS - 2
ER -