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Abstract: TH-PO916

Dietary Patterns and Kidney Function in West Africans with CKD

Session Information

Category: Health Maintenance, Nutrition, and Metabolism

  • 1500 Health Maintenance, Nutrition, and Metabolism

Authors

  • Kwakyi, Edward Papa Kwabena, University of Ghana School of Medicine and Dentistry, Accra, Greater Accra, Ghana
  • Ilori, Titilayo O., Boston University School of Medicine, Boston, Massachusetts, United States
  • Zhao, Runqi, Boston University School of Medicine, Boston, Massachusetts, United States
  • Parekh, Rulan S., Women's College Hospital, Toronto, Ontario, Canada
  • Ulasi, Ifeoma I., University of Nigeria, Nsukka, Enugu, Nigeria
  • Adu, Dwomoa, University of Ghana School of Medicine and Dentistry, Accra, Greater Accra, Ghana
  • Solarin, Adaobi, Lagos State University Teaching Hospital, Lagos, Lagos, Nigeria
  • Raji, Yemi R., University of Ibadan College of Medicine, Ibadan, Oyo, Nigeria
  • Mamven, Manmak, University of Abuja, Abuja, Federal Capital Territory, Nigeria
  • Mitchell, Diane C., Texas A&M University System, College Station, Texas, United States
  • Waikar, Sushrut S., Boston University School of Medicine, Boston, Massachusetts, United States
  • Ojo, Akinlolu, University of Kansas School of Medicine, Kansas City, Kansas, United States
  • Gbadegesin, Rasheed A., Duke University School of Medicine, Durham, North Carolina, United States
Background

There is little known about the impact of dietary patterns on chronic kidney disease (CKD) in West Africa. Our study describes associations of dietary patterns with estimated glomerular filtration rate (eGFR) and is the first study to do so in a well-phenotyped West African CKD cohort.

Methods

We analyzed participants in the Diet, Apolipoprotein L1 and CKD (DCA) study from 7 centers in West Africa (Ghana and Nigeria). Data from 24-hour dietary recalls were categorized into 32 food groups and 3 dietary patterns were derived via principal component analysis (PCA). Using mixed effect linear regression models, we estimated the b coefficients and 95% confidence intervals for quartiles of the dietary patterns and eGFR (2009 CKD-EPI equation, not corrected for race).

Results

Among 583 people with a mean age of 49±17 years and 51% males, the mean eGFR and median 24-hour urine protein were 68±39 mL/min/1.73m2 and 0.31(IQR=0.13-1.07) g respectively. We identified the Dried Fish and Oil dietary pattern, Poultry and Cereal dietary pattern and the Fruit and Cereal dietary pattern. Compared to Q1 (lowest consumption) of the Poultry and Cereal pattern, higher quartiles were associated with higher eGFR in the unadjusted model (p for trend<0.001, Table 1). Adjusting for covariates attenuated the association. Age was associated with the Poultry and Cereal dietary Pattern (-0.02, p < 0.001). No other dietary patterns were associated with eGFR.

Conclusion

In our cross-sectional analyses, there was no association of dietary patterns with eGFR. Future studies on diet quality and nutrient contents and CKD progression in Africans are needed. Our next steps are to investigate other factors associated with dietary patterns in our population (aside from age) and examine longitudinal associations of dietary patterns with CKD progression.

Funding

  • NIDDK Support