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Computer simulations of blood pressure tracking.

J A Millar1

  • 1Department of Pharmacology, University of Otago, Dunedin, New Zealand.

Computer Methods and Programs in Biomedicine
|May 1, 1988
PubMed
Summary

Blood pressure (BP) tracking shows individuals

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Area of Science:

  • Cardiovascular epidemiology
  • Biostatistics
  • Longitudinal studies

Background:

  • Blood pressure (BP) tends to maintain its relative position within a population distribution over time, a phenomenon known as tracking.
  • While individuals with higher BP may be predisposed to future hypertension, this epidemiological link requires further investigation.

Purpose of the Study:

  • To simulate BP tracking using empirical models.
  • To assess the reliability of BP tracking criteria (correlation coefficient and quintile analysis).
  • To examine the relationship between BP rank and the risk of hypertension or death.

Main Methods:

  • Four empirical models were used to simulate BP tracking over time.
  • Models were applied to computer-generated data (n=1500) and real BP data from a longitudinal survey.
  • Simulations involved cumulative BP changes over iterative 'years'.

Main Results:

  • The correlation coefficient (r) for paired initial and final BP decreased over time but remained statistically significant for up to 30 'years', although the values were low.
  • Quintile analysis revealed frequent movement of BP values between distribution quintiles, indicating inefficient tracking.
  • Computer-derived data showed the highest relative risk of death or hypertension in the topmost BP quintile.

Conclusions:

  • Despite the complexity of BP regulation, simple models can adequately describe population BP trends.
  • BP tracking, while present, is inefficient in predicting long-term outcomes.
  • Individuals in the highest BP quintile face an elevated risk of hypertension and mortality.

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