Pulse pressure and cardiometabolic disease progression: associations with incident multimorbidity and mortality in UK biobank - Scorecard - MDSpire

Pulse pressure and cardiometabolic disease progression: associations with incident multimorbidity and mortality in UK biobank

  • By

  • Ting Lin

  • Shuai Hu

  • Wen Gong

  • Linqi Li

  • Zhaowei Zhu

  • Hebin Xie

  • Feijun Zhao

  • June 23, 2026

  • 0 min

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Clinical Scorecard: The Relationship Between Pulse Pressure and the Advancement of Cardiometabolic Diseases: Links to New Multimorbidity and Mortality in the UK Biobank Study

At a Glance

CategoryDetail
ConditionCardiometabolic Diseases (CMDs)
Key MechanismsPulse pressure (PP) as a predictor of CMD progression and mortality.
Target PopulationUK Biobank participants aged 40-69 years, free of CMD at baseline.
Care SettingCommunity-based cohort study.

Key Highlights

  • Per 1-SD increase in PP, HR for incident CMD is 1.13 and for CMM is 1.18.
  • Q4 vs Q1 comparisons indicate 36% higher risks for CMD and CMM.
  • Strongest PP-CMM association observed in patients with stroke (HR = 1.23).
  • Threshold effects identified: 40 mmHg for CMD, 42 mmHg for mortality, 52 mmHg for CMM.
  • Most pronounced associations in participants aged < 60 years, women, and those with BMI 18.5 ≤ 25 kg/m2.

Guideline-Based Recommendations

Diagnosis

  • Assess pulse pressure as part of cardiovascular risk evaluation.

Management

  • Consider monitoring pulse pressure in patients at risk for CMD and CMM.

Monitoring & Follow-up

  • Regular follow-up of pulse pressure in high-risk populations.

Risks

  • Elevated pulse pressure is associated with increased risk of CMD progression and all-cause mortality.

Patient & Prescribing Data

Individuals free of CMD at baseline, with a focus on those with elevated pulse pressure.

Targeted interventions may be necessary for patients with elevated PP to mitigate CMD risk.

Clinical Best Practices

  • Incorporate pulse pressure measurement in routine cardiovascular assessments.
  • Identify and stratify high-risk populations based on pulse pressure levels.

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