The edition · Nephrology
Half of CKD patients are non-dippers, and non-dipping tracks death and progression
A 63-study meta-analysis links loss of the night-time blood pressure fall to worse outcomes in CKD, an automated anti-nephrin assay stratifies childhood nephrotic syndrome, and genome sequencing finds a monogenic cause in only 1 in 20 with CAKUT.
The edition in brief
A meta-analysis of 63 mostly retrospective studies (54,515 people) found 53% of patients with chronic kidney disease were non-dippers, whose blood pressure falls less than 10% at night, and people without CKD were less likely to be (RR 0.69). Among patients with CKD, dipping was associated with lower mortality (RR 0.60), fewer cardiovascular events (RR 0.63) and slower progression (RR 0.64), with high heterogeneity. A Chinese study of an automated chemiluminescence assay for anti-nephrin antibodies in 121 children with minimal change disease or FSGS found it agreed substantially with the research reference method and detected antibodies more often (41% vs 28%); positivity was linked to heavier proteinuria and, during remission, to relapse within three months. In 1,052 people with congenital kidney and urinary tract anomalies in the UK 100,000 Genomes Project, whole-genome sequencing found a monogenic cause in only 4.9%, more often with family history, consanguinity or extra-renal features. A meta-analysis of 15 studies found AI models classified membranous nephropathy, IgA nephropathy and minimal change disease from biopsy images with high accuracy, but head-to-head evidence against pathologists was sparse. The pearl: CKD staging needs albuminuria as well as eGFR.
An automated anti-nephrin assay detects more positives and tracks relapse in childhood nephrotic syndrome
Watch for anti-nephrin testing as a way to stratify childhood nephrotic syndrome; it is not yet ready to guide treatment routinely.
Genome sequencing finds a monogenic cause in only 1 in 20 people with CAKUT
Target genetic testing in CAKUT at patients with family history, consanguinity or extra-renal features, where the yield is highest.
AI classifies common glomerular diseases from biopsy images with high accuracy
Regard AI renal pathology as a promising second reader for common glomerular diseases, not a replacement for a renal pathologist.
CKD needs two numbers: eGFR and albuminuria
Check the urine albumin-to-creatinine ratio as well as eGFR; CKD cannot be staged or risk-assessed without it.
Non-dipping blood pressure in CKD: common, and linked to death and progression
Consider ambulatory blood pressure monitoring in CKD to identify non-dippers, who carry higher risk of death and progression.
Read the rest in the app
You have read your two free briefings this month. The app carries all 27 specialties, every morning, free — and this one is waiting in it.

Scan to keep reading on your phone. No account needed to start.
Tomorrow morning, before your first patient
One edition a day for nephrology, written by the desk, every claim tied to its paper. Six minutes.
Get the app — free