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Systolic blood pressure and mortality
1Department of Mathematics, University of California, Los Angeles 90025, USA. sport@ucla.edu
Lancet (London, England)
|February 16, 2000
Summary
Systolic blood pressure risk is not strictly increasing; a threshold exists. Current hypertension guidelines may misclassify risk for many adults based on age and sex.
Area of Science:
- Cardiology
- Public Health
- Biostatistics
Background:
- Current hypertension guidelines use a 140 mm Hg systolic blood pressure threshold for all adults.
- Recommendations from WHO and International Society of Hypertension suggest lower normal (130 mm Hg) and optimal (120 mm Hg) pressures.
- These guidelines assume a strictly increasing relationship between systolic blood pressure and mortality, largely based on the Framingham study.
Purpose of the Study:
- To re-evaluate Framingham study data to determine if cardiovascular and overall mortality risk is strictly dependent on systolic blood pressure or if a threshold exists.
- To challenge the assumption of a linear, increasing risk model for systolic blood pressure and mortality.
Main Methods:
- Utilized logistic splines to model the relationship between systolic blood pressure and mortality risk (cardiovascular and all-cause).
- Employed age-specific and sex-specific rates.
- Tested for independence of slope parameters from age and sex, employing a reduced model with common slopes for a non-conventional logistic model.
Main Results:
- The Framingham data rejected the conventional linear logistic model.
- Neither all-cause nor cardiovascular mortality showed a strictly increasing dependence on systolic blood pressure.
- Risk was independent of systolic blood pressure below a specific age- and sex-dependent threshold (around the 70th percentile), sharply increasing above the 80th percentile.
Conclusions:
- The Framingham data contradict the notion that lower systolic blood pressure universally implies lower risk.
- The 140 mm Hg hypertension cut-off is not universally applicable due to age- and sex-dependent risk thresholds.
- A significant portion of the population currently considered at increased risk may not be, based on these findings.
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