The edition · Nephrology
Early eGFR and albuminuria shifts after starting a kidney drug may say little about the drug
A 66,000-patient analysis of 49 trials found the same early GFR–albuminuria link with and without treatment; catheter fixation cut displacement in open PD catheter placement; and AI classified glomerular disease well in retrospective tests.
The edition in brief
Early falls in eGFR and albuminuria after starting a kidney-protective drug are often read as signs that it is working in that patient. An individual-patient meta-analysis of 49 randomised trials and 66,449 participants found no relationship between trials' effects on early GFR and on albuminuria. Within patients, the link between falling GFR and falling albumin-to-creatinine ratio was almost the same in treatment and control arms (8.0% vs 6.6% per standard deviation). Early changes may therefore mostly reflect natural variation and the disease itself, and should not be used on their own to judge response or to stop a drug. A meta-analysis of 13 studies with 1,275 patients found fixing the peritoneal dialysis catheter during open placement sharply reduced displacement (OR 0.08) without significant differences in infection, bleeding, hernia or other complications, at the cost of about four minutes' extra operating time. A meta-analysis of 15 studies found AI models classified membranous nephropathy, IgA nephropathy and minimal change disease with sensitivity of 0.92 to 0.96 on biopsy images, though comparisons with pathologists were sparse and retrospective. Machine-learning models for predicting diabetic kidney disease showed high pooled discrimination, but most lacked external validation or calibration. The pearl covers the expected eGFR dip after starting RAS blockers or SGLT2 inhibitors.
Fixing the PD catheter at open insertion cut displacement
Consider catheter fixation during open peritoneal dialysis catheter placement to reduce displacement.
AI read glomerular biopsies accurately, in retrospective tests
Regard AI biopsy classification as promising support for pathologists, not yet a validated diagnostic tool.
Machine-learning DKD models look strong on paper, untested in practice
Keep screening for diabetic kidney disease with eGFR and urine ACR; machine-learning models are not yet validated for clinical use.
An early eGFR dip on RAS blockers or SGLT2 inhibitors is expected
Expect and accept a modest early eGFR fall after starting RAS blockers or SGLT2 inhibitors; recheck rather than stop.
Do not judge a kidney drug by the first three months of numbers
Avoid judging an individual's response to a kidney-protective drug from early eGFR or albuminuria changes alone; continue proven therapy.
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