A Body Mass Index-Based Cross-Classification Approach for the Assessment of Prognostic Factors in Chronic Kidney

Hiroshi Kataoka1, Kota Ono2, Toshio Mochizuki3

  • 1Department of Internal Medicine, Tokyo Women's Medical University, Tokyo, Japan, kataoka@twmu.ac.jp.

Insights

A novel body mass index (BMI)-based cross-classification analysis identified varying prognostic factors for chronic kidney disease (CKD) progression. This approach offers a more comprehensive understanding of CKD risk in diverse patient groups.

Area of Science:

  • Nephrology
  • Internal Medicine
  • Public Health

Background:

  • Cross-classification analyses are underutilized in chronic kidney disease (CKD) research.
  • Identifying prognostic factors for CKD progression is crucial for patient management and treatment strategies.

Purpose of the Study:

  • To investigate prognostic factors for CKD progression using a body mass index (BMI)-based cross-classification approach.
  • To determine how prognostic factors for CKD vary across different BMI and demographic subgroups.

Main Methods:

  • A cohort of CKD patients was analyzed using a cross-classification approach based on BMI and other clinical factors.
  • Renal outcomes, defined as a ≥50% decline in estimated glomerular filtration rate or end-stage renal disease, were examined within specific subcohorts.
  • Multivariate Cox regression analysis was employed to identify significant prognostic factors within each subcohort.

Main Results:

  • The number of identified prognostic factors varied significantly across subcohorts, with fewer factors found in "BMI ≥25, female" and CKD stage 3 groups.
  • Albuminuria, kidney impairment, male sex, hyperphosphatemia, anemia, and increased pulse pressure × heart rate product (PP × HR) were consistently identified as renal prognostic factors.
  • The prognostic value of factors like BMI, age, hypoalbuminemia, and intact parathyroid hormone differed substantially depending on the specific subcohort.

Conclusions:

  • A BMI-based cross-classification approach provides a more comprehensive evaluation of renal prognostic factors in CKD patients compared to traditional methods.
  • This method is effective for identifying distinct risk factors in CKD patients with multiple comorbidities and risk factors.
  • Tailoring risk assessment based on BMI and other patient characteristics can improve the understanding and management of CKD progression.
Abstract

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