Kidney Week

Abstract: TH-PO845

Associations of Reduced Rank Regression (RRR)-Based Dietary Patterns With Kidney Health

Session Information

• Health Maintenance, Nutrition, Metabolism
  November 03, 2022 | Location: Exhibit Hall, Orange County Convention Center‚ West Building
  Abstract Time: 10:00 AM - 12:00 PM

Category: Health Maintenance‚ Nutrition‚ and Metabolism

• 1400 Health Maintenance‚ Nutrition‚ and Metabolism

Authors

• Barbieri, Giulia, Accademia Europea, Bolzano, Trentino-Alto Adige, Italy

Giulia Barbieri,

• Garcia-Larsen, Vanessa, Johns Hopkins University, Baltimore, Maryland, United States

Vanessa Garcia-Larsen,

• Fujii, Ryosuke, Accademia Europea, Bolzano, Trentino-Alto Adige, Italy

Ryosuke Fujii,

• Melotti, Roberto, Accademia Europea, Bolzano, Trentino-Alto Adige, Italy

Roberto Melotti,

• Cazzoletti, Lucia, Universita degli Studi di Verona, Verona, Veneto, Italy

Lucia Cazzoletti,

• Pramstaller, Peter Paul, Accademia Europea, Bolzano, Trentino-Alto Adige, Italy

Peter Paul Pramstaller,

• Zanolin, Maria Elisabetta, Universita degli Studi di Verona, Verona, Veneto, Italy

Maria Elisabetta Zanolin,

• Pattaro, Cristian, Accademia Europea, Bolzano, Trentino-Alto Adige, Italy

Cristian Pattaro,

• Hantikainen, Essi, Accademia Europea, Bolzano, Trentino-Alto Adige, Italy

Essi Hantikainen,

Background

A healthy diet is key to chronic kidney disease (CKD) prevention; however, which specific dietary components are more beneficial is still unclear. We identified dietary patterns (DPs) analytically through selected risk factors of CKD.

Methods

We included 6215 Cooperative Health Research In South Tyrol (CHRIS) study participants without known kidney disease, hypertension or diabetes. We obtained serum creatinine-based estimated glomerular filtration rate (eGFR) with the 2021 CKD-EPI equation and defined CKD as eGFR<60 ml/min/1.73m². Dietary intake was estimated based on the self-administered internationally validated GA2LEN food frequency questionnaire (FFQ). We estimated DPs using RRR, selecting two groups of mediators (Figure 1): the FFQ-derived nutrients (DPN) and selected biomarkers (DPB). Factor loading-based scores, either as continuous or stratified into tertiles (T1-T2-T3), were included in multiply-adjusted regression models for eGFR and CKD. Sex-specific DPs and models were also implemented.

Results

We identified 3 DPN and 2 DPB scores (Figure 1). DPN1 was characterized by high intake of all nutrients and associated with lower eGFR (linear p<0.001, T3vsT2 p=0.042). The T3 of DPN3 (low intakes of potassium and sodium; high intakes of proteins and phosphorus) was protective against CKD risk (T3vsT2 p=0.017). DPB1 reflected the impact of higher levels of all risk biomarkers and was associated with lower eGFR (linear p=0.027). Other DPs showed no evidence of association with eGFR or CKD. Sex-stratified analyses led to similar DPs, and effects on eGFR and CKD differed to some extent between males and females.

Conclusion

In addition to confirming known relationships between nutrient-based DPs and kidney health, biomarker-based DPs highlighted additional food groups related with specific CKD risk factors. Integrating both nutrients and biomarkers risk factors as mediators adds value to the investigation of diet effects on kidney function.

Funding

• Private Foundation Support