Key result
Longitudinal data analysis yielded a slower estimated renal function decline rate (0.95 ml/min/year) compared to cross-sectional analysis (1.33 ml/min/year) in aging adults.
Why the study?
Does the estimated renal function decline rate per year with age vary between cross-sectional and longitudinal data analyses?
Population
3,946 adults (age range 30-92 years) with 16,628 records of creatinine clearance
Comparison
Longitudinal data analysis using multiple… vs Cross-sectional data analysis using one…
Design
Cohort
Follow-up
mean 793 days (up to 2364 days)
Authors
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Longitudinal eGFR estimates may refine dosing caution in aging adults; leaves open validation against cross-sectional overestimation in broader cohorts.
Observational (n=3,946)
Does the estimated renal function decline rate per year with age vary between cross-sectional and longitudinal data analyses?
Absolute Event Rate: 0.95% vs 1.33%
Longitudinal analysis provides a slower and more reliable estimate of age-related renal function decline compared to cross-sectional analysis, which is critical for individualizing chronic therapy dosing.
Chung et al. (2015) conducted an observational in Renal function decline with aging (n=3,946). Longitudinal data analysis vs. Cross-sectional data analysis was evaluated on Renal function decline rate per year (ml/min/year). Longitudinal data analysis yielded a slower estimated renal function decline rate (0.95 ml/min/year) compared to cross-sectional analysis (1.33 ml/min/year) in aging adults.
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