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Time-Centered Approach to Understanding Risk Factors for the Progression of CKD
Elaine Ku1,2, Kirsten L Johansen1,3, Charles E McCulloch3
1Division of Nephrology, Department of Medicine.
Insights
This study estimates time spent in chronic kidney disease (CKD) stages, finding significant variations based on risk factors like blood pressure and proteinuria. Understanding these CKD progression timelines can inform patient care and therapeutic decisions.
Area of Science:
- Nephrology
- Medical Statistics
- Clinical Research
Background:
- Traditional chronic kidney disease (CKD) progression models lack time-to-event estimates.
- Estimating time spent in CKD stages can aid therapeutic interactions.
- This study focuses on CKD stages 3a-5.
Purpose of the Study:
- To estimate the median time participants spent in each CKD stage (3a-5).
- To analyze how CKD progression time varies with associated risk factors.
Main Methods:
- Utilized mixed models on data from 3682 participants in the Chronic Renal Insufficiency Cohort.
- Estimated person-specific trajectories of kidney function.
- Calculated time spent in each CKD stage based on these trajectories.
Main Results:
- Median follow-up was 9.5 years.
- Participants spent more time in earlier CKD stages (e.g., 7.9 years in stage 3a) than later stages (e.g., 0.8 years in stage 5).
- Higher systolic blood pressure (≥140 mm Hg) and proteinuria (≥1 g/g) significantly reduced time spent in earlier stages (3a and 3b) but had a smaller impact on stage 5.
Conclusions:
- Significant variations exist in the time spent across different CKD stages.
- CKD progression time is influenced by both the stage of the disease and specific risk factors.
- These findings highlight the dynamic nature of CKD progression and its variability.
Background And Objectives:
Traditional approaches to modeling risk of CKD progression do not provide estimates of the time it takes for disease progression to occur, which could be useful in guiding therapeutic interactions between patients and providers. Our objective was to estimate median time spent in each of CKD stages 3a-5 and how the time differs according to risk factors associated with progression of disease.
Design, Setting, Participants, & Measurements:
We included 3682 participants of the Chronic Renal Insufficiency Cohort in mixed models to estimate person-specific trajectories of function, and used these trajectories to estimate time spent in each CKD stage.
Results:
During 9.5 years of median follow-up, participants spent longer in earlier rather than later CKD stages, ranging from a median of 7.9 years (interquartile range, 2.3 to >12 years) in stage 3a to 0.8 years (interquartile range, 0.3-1.6) in stage 5. Known risk factors for CKD progression were also associated with larger differences in time until progression to the next CKD stage in earlier versus later stages of disease. For example, compared with systolic BP <140 mm Hg, systolic BP ≥140 mm Hg was associated with 6.1 years shorter time (95% confidence interval [95% CI], 4.5 to 7.5) spent in stage 3a, 3.3 years shorter time (95% CI, 2.7 to 4.0) in stage 3b, but only 2.4 months shorter time (95% CI, 0.8 to 3.6) in stage 5. Compared with those with proteinuria <1 g/g, proteinuria ≥1 g/g was associated with 8 years shorter time spent (95% CI, 6.8 to 9.6) in stage 3a, 5.6 years shorter time (95% CI, 5.0 to 6.4) in stage 3b, but only 6 months shorter time (95% CI, 3.8 to 8) in stage 5.
Conclusions:
There are marked variations in the time spent in the different stages of CKD, according to risk factors and stage of disease.
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