Kidney Week

Abstract: SA-PO1082

Predictive Value of Current KDIGO CKD Screening Criteria in Women and Men across Ethnic Groups: The HELIUS Study

Session Information

• CKD: Epidemiology, Risk Factors, and Prevention - 3
  October 26, 2024 | Location: Exhibit Hall, Convention Center
  Abstract Time: 10:00 AM - 12:00 PM

Category: CKD (Non-Dialysis)

• 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention

Authors

• Vosters, Taryn G., Amsterdam UMC Locatie AMC, Amsterdam, Noord-Holland, Netherlands

Taryn G. Vosters, MS, MSc

• Stel, Vianda S., Amsterdam UMC Locatie AMC, Amsterdam, Noord-Holland, Netherlands

Vianda S. Stel, PhD

• Jager, Kitty J., Amsterdam UMC Locatie AMC, Amsterdam, Noord-Holland, Netherlands

Kitty J. Jager, MD, PhD

• Vogt, Liffert, Amsterdam UMC Locatie AMC, Amsterdam, Noord-Holland, Netherlands

Liffert Vogt, MD, PhD

• van Ittersum, Frans J., Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, Netherlands

Frans J. van Ittersum, MD, PhD

• Van den Born, Bert-Jan, Amsterdam UMC Locatie AMC, Amsterdam, Noord-Holland, Netherlands

Bert-Jan Van den Born, MD, PhD

• van Valkengoed, Irene, Amsterdam UMC Locatie AMC, Amsterdam, Noord-Holland, Netherlands

Irene van Valkengoed

Background

Unequal burden of chronic kidney disease (CKD) amongst women and men and amongst ethnic groups poses a public health issue. Early detection of disease enables faster initiation of treatment as well as efficient deceleration of further disease progression. It is unclear whether the current screening guidelines are equally detecting women and men across ethnic groups with CKD.

Methods

Cross-sectional analyses were performed to determine the predictive value of the current available screening criteria recommended by KDIGO 2024, hypertension, diabetes mellitus and cardiovascular disease, in 12384 women and 9046 men from the HELIUS Study (2011-2015, Amsterdam, the Netherlands). Additionally investigating whether the optional variables such as low education, obesity, high risk occupations and genetic risk factors improve detection rates. This was done using Poisson regression analyses, including Likelihood ratio tests and AIC estimations in women and men. Significantly associated variables were added to the base criteria to create a final model. Base- and final model AUC, sensitivity, specificity, positive- and negative predictive values in women and men and across ethnic groups were compared.

Results

Current screening criteria showed higher sensitivity (Sens: 80.4 vs 58.3) and lower AIC (AIC: 3419.6 vs 4273.0) rates in men than women. Both low educational level and obesity in women, but not high risk occupations and genetic risk factors, significantly improved the prediction measures. As was the case for obesity in men. An improvement in predictive measures was observed for the final models (AUC : 0.64 (basemodel women); 0.66 (final model women); 0.75 (base model men); 0.76 (final model men)). These results were consistent across ethnic groups.

Conclusion

Current screening criteria may not be equally detecting women and men across ethnic groups. Different optional criteria, specifically low educational level for women or obesity for men, may improve detection rates in women and men.

Funding

• Private Foundation Support