4.5 Article

Pulse pressure as an independent predictor of stroke: a systematic review and a meta-analysis

Journal

CLINICAL RESEARCH IN CARDIOLOGY
Volume 105, Issue 8, Pages 677-686

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00392-016-0972-2

Keywords

Pulse pressure; Predictor of mortality; Risk factor; Stroke

Funding

  1. National Natural Science Foundation of China [81271302, 81070914]
  2. Science and Technology Project of the Shanghai Pudong New Area Health Bureau (Pudong New Area Population and Family Planning Commission) [PW 2013D-4]
  3. Shanghai municipal science and technology commission [14JC1404300]
  4. national key laboratory of medical and neurobiology of Fudan University [SKLMN2014001]
  5. HSMU-ION Research Center for Brain Disorders
  6. Clinical science and technology innovation project of Shanghai Shen Kang Hospital Development Center [SHDC12015310]

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Recent evidence suggests that pulse pressure (PP) is a strong cardiovascular diseases' risk factor. We systematically evaluated all relevant studies to determine whether PP can be used as an independent predictor of stroke and mortality. A meta-analysis was performed by searching the published literature using MEDLINE, Cochrane and Google Scholar databases up to December 15, 2015. We measured the effect size expressed by hazard ratio (HR) and 95 % confidence interval (95 % CI). Eleven publications were included in the analysis. Pooled results demonstrated that 10 mmHg increase in PP was associated with increased risk of stroke occurrence (pooled HR 1.046, 95 % CI 1.025-1.068, P < 0.001). Additionally, systolic blood pressure (SBP) (pooled HR 1.053, 95 % CI 1.033-1.073, P < 0.001) and diastolic blood pressure (DPB) (pooled HR 1.056, 95 % CI 1.038-1.074, P < 0.001) were found to be significant predictors for stroke. We did not find a significant association between PP and all-cause mortality (pooled HR 1.022, 95 % CI 0.983-1.063, P = 0.270). We found SBP (pooled HR 1.008, 95 % CI 1.002-1.014, P = 0.012), but not DBP (pooled HR 1.023, 95 % CI 0.964-1.085, P = 0.451) to be significantly associated with all-cause mortality. Current data confirms that PP is an independent risk factor for stroke but is not a predictor of mortality.

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