2 research outputs found

    Effects of Semaglutide on Albuminuria and Kidney Function in People With Overweight or Obesity With or Without Type 2 Diabetes: Exploratory Analysis From the STEP 1, 2, and 3 Trials

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    OBJECTIVE These post hoc analyses of the Semaglutide Treatment Effect in People with obesity (STEP) 1–3 trials (NCT03548935, NCT03552757, and NCT03611582) explored the effects of semaglutide (up to 2.4 mg) on kidney function. RESEARCH DESIGN AND METHODS STEP 1–3 included adults with overweight/obesity; STEP 2 patients also had type 2 diabetes. Participants received once-weekly subcutaneous semaglutide 1.0 mg (STEP 2 only), 2.4 mg, or placebo for 68 weeks, plus lifestyle intervention (STEP 1 and 2) or intensive behavioral therapy (STEP 3). Changes in urine albumin-to-creatinine ratio (UACR) and UACR status from baseline to week 68 were assessed for STEP 2. Changes in estimated glomerular filtration rate (eGFR) were assessed from pooled STEP 1–3 data. RESULTS In STEP 2, 1,205 (99.6% total cohort) patients had UACR data; geometric mean baseline UACR was 13.7, 12.5, and 13.2 mg/g with semaglutide 1.0 mg, 2.4 mg, and placebo, respectively. At week 68, UACR changes were −14.8% and −20.6% with semaglutide 1.0 mg and 2.4 mg, respectively, and +18.3% with placebo (between-group differences [95% CI] vs. placebo: −28.0% [−37.3, −17.3], P CONCLUSIONS Semaglutide improved UACR in adults with overweight/obesity and type 2 diabetes. In participants with normal kidney function, semaglutide did not have an effect on eGFR decline.</p

    The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts

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      Significance statement: The kidney failure risk equation (KFRE) uses age, sex, GFR, and urine albumin-to-creatinine ratio (ACR) to predict 2- and 5-year risk of kidney failure in populations with eGFR Background: The kidney failure risk equation (KFRE) uses age, sex, GFR, and urine albumin-to-creatinine ratio (ACR) to predict kidney failure risk in people with GFR Methods: Using 59 cohorts with 312,424 patients with CKD, we tested several modifications to the KFRE for their potential to improve the KFRE: using the CKD-EPI 2021 creatinine equation for eGFR, substituting 1-year average ACR for single-measure ACR and 1-year average eGFR in participants with high eGFR variability, and adding 2-year prior eGFR slope and cardiovascular comorbidities. We also assessed calibration of the KFRE in subgroups of eGFR and age before and after accounting for the competing risk of death. Results: The KFRE remained accurate and well calibrated overall using the CKD-EPI 2021 eGFR equation. The other modifications did not improve KFRE performance. In subgroups of eGFR 45-59 ml/min per 1.73 m 2 and in older adults using the 5-year time horizon, the KFRE demonstrated systematic underprediction and overprediction, respectively. We developed and tested a new model with a spline term in eGFR and incorporating the competing risk of mortality, resulting in more accurate calibration in those specific subgroups but not overall. Conclusions: The original KFRE is generally accurate for eGFR <45 ml/min per 1.73 m 2 when using the CKD-EPI 2021 equation. Incorporating competing risk methodology and splines for eGFR may improve calibration in low-risk settings with longer time horizons. Including historical averages, eGFR slopes, or a competing risk design did not meaningfully alter KFRE performance in most circumstances.</p
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