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

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

  • By

  • Yanqing Hu

  • Shan Ma

  • Ting Yu

  • Dan Wu

  • Yang Wu

  • April 20, 2026

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Clinical Scorecard: Diastolic Blood Pressure Variability Over 24 Hours as a Predictor of Renal Progression in Diabetic Kidney Disease: A Detailed Cohort Analysis

At a Glance

CategoryDetail
ConditionDiabetic Kidney Disease (DKD)
Key MechanismsDiastolic blood pressure variability (DBPV) affects renal microcirculation and is linked to renal outcomes.
Target PopulationPatients with diabetic kidney disease (DKD)
Care SettingRetrospective cohort study in a hospital setting

Key Highlights

  • 24-hour DBP average real variability (ARV) is a strong predictor of renal outcomes.
  • Each 1 mmHg increase in DBP ARV correlates with higher odds of rapid eGFR decline and ESRD risk.
  • Optimal DBP ARV threshold for ESRD prediction is 10.2 mmHg.
  • Calcium channel blockers (CCBs) are associated with lower DBP ARV compared to other antihypertensives.
  • Increased DBPV over time significantly raises ESRD risk.

Guideline-Based Recommendations

Diagnosis

  • DKD diagnosed per 2022 KDIGO guidelines.

Management

  • Incorporate 24-hour ABPM-derived DBPV into DKD management for improved risk stratification.

Monitoring & Follow-up

  • Monitor DBPV parameters alongside traditional BP metrics.

Risks

  • Higher DBPV is associated with increased risk of renal progression and ESRD.

Patient & Prescribing Data

2,143 DKD patients with 24-hour ABPM data.

CCBs may be more effective in reducing DBPV compared to RAAS inhibitors or beta-blockers.

Clinical Best Practices

  • Utilize 24-hour DBP ARV as a key metric in assessing renal risk in DKD.
  • Consider dynamic changes in DBPV for personalized treatment strategies.

References

Original Source(s)

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