Evidence map›Paper›PMID 42087877›Full record

ArticleFrontiers in endocrinology2026

24-hour diastolic blood pressure average real variability predicts renal progression in diabetic kidney disease: a comprehensive cohort study.

Yanqing Hu, Shan Ma, Ting Yu, Dan Wu, Yang Wu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanqing Hu *Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Shan Ma *Department of Cardiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Ting YuDepartment of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Dan WuDepartment of Emergency and Disaster Medical Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yang WuDepartment of Cardiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease (ESRD) worldwide. Blood pressure variability (BPV), especially diastolic BPV (DBPV), is closely linked to renal microcirculation but remains understudied in DKD. This study aimed to evaluate the association of DBPV with renal progression, identify an optimal risk threshold, and explore antihypertensive drug implications. Methods: We conducted a retrospective cohort study of 2,143 DKD patients who underwent 24-hour ambulatory BP monitoring (ABPM) between 2018 and 2022, with a median follow-up of 4.8 years. Multiple DBPV parameters including standard deviation (SD), coefficient of variation (CV), average real variability (ARV), and nocturnal dipping were analyzed. Dynamic changes in DBPV were assessed in 1,328 patients with serial ABPM data. Results: After full adjustment, 24-hour DBP ARV was the strongest predictor of renal outcomes. Each 1 mmHg increase was associated with 18% higher odds of rapid estimated glomerular filtration rate (eGFR) decline (OR = 1.18, 95%CI:1.13-1.23), 22% higher ESRD risk (HR = 1.22, 95%CI:1.15-1.29), and 20% higher composite renal event risk (HR = 1.20, 95%CI:1.14-1.26). ROC analysis determined the optimal threshold of 24-hour DBP ARV for ESRD prediction as 10.2 mmHg (sensitivity=76.2%, specificity=61.8%), above which ESRD risk increased 3.1-fold. Patients with increased DBPV over time had a 2.4-fold higher ESRD risk than those with decreased DBPV. Calcium channel blockers (CCBs) were associated with lower DBP ARV than RAAS inhibitors or beta-blockers. Adding 24-hour DBP ARV to traditional risk models significantly improved ESRD prediction (C-statistic: 0.73 to 0.80). The association was stronger in patients with advanced DKD or severely increased albuminuria, and combined high DBP ARV and SBP ARV conferred a 4.5-fold higher ESRD risk. Conclusion: 24-hour DBP ARV (threshold 10.2 mmHg) is an independent predictor of renal progression in DKD. Rising DBPV amplifies renal risk, and CCBs may better reduce DBPV. Incorporating ABPM-derived DBPV into DKD management improves risk stratification and supports personalized interventions.

Indexed as

Blood PressureDiabetic NephropathiesKidney Failure, ChronicAgedBlood Pressure Monitoring, AmbulatoryCohort StudiesDiastoleDisease ProgressionFemaleFollow-Up StudiesGlomerular Filtration RateHumansMaleMiddle AgedPrognosisRetrospective Studiesambulatory blood pressure monitoringaverage real variabilitydiabetic kidney diseasediastolic blood pressure variabilityend-stage renal diseasepredictive modelingrenal function decline

Identifiers

PMID42087877
PMCPMC13137301

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.