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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
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.
Background/Aims:
Cross-classification analyses are rarely reported. We investigated the prognostic factors for chronic kidney disease (CKD) progression using a body mass index (BMI)-based cross-classification approach.
Methods:
Patients' renal outcome (≥50% decline in the estimated glomerular filtration rate or end-stage renal disease) in each subcohort was examined.
Results:
The number of prognostic factors identified in the multivariate Cox analysis was smaller in the "BMI ≥25, female" and CKD stage 3 subcohorts than in other subcohorts. Prognostic factors identified in the "BMI ≥25, CKD stage 3" subcohort only comprised albuminuria and male sex, and those in the "BMI ≥25, female" subcohort only comprised albuminuria, hyperphosphatemia, and anemia. Albuminuria, kidney impairment, male sex, hyperphosphatemia, anemia, and increased pulse pressure × heart rate product (PP × HR; pulsatile stress) were stable renal prognostic factors in almost all subcohorts. On the other hand, the prognostic value of increased BMI, younger age, hypoalbuminemia, increased intact parathyroid hormone, and decreased estimated 24-h urinary potassium excretion (e24hUK) differed according to subcohort. BMI was positively associated with CKD progression in the "BMI ≥25, age ≥65 years" and "BMI ≥25, CKD stages 4-5" subcohorts, whereas it was negatively associated with CKD progression in the "BMI <25, diabetes mellitus" subcohort. PP × HR was independently associated with CKD progression in the "BMI <25, CKD stage 3" subcohort, which had relatively few identified renal prognostic factors. Decreased e24hUK was a renal prognostic factor for CKD progression in the "BMI <25, CKD stages 4-5" subcohort, while no significant factors were observed in the "BMI ≥25, CKD stages 4-5" subcohort.
Conclusion:
A BMI-based cross-classification approach, which provides more comprehensive findings than that in previous approaches, is expected to be an effective method for evaluating renal prognostic factors in patients with CKD who are affected by multiple risk factors.
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