Magnitude, reproducibility, and components of the pressor response to the clinic

F Elijovich1, C L Laffer

  • 1Department of Medicine, Mount Sinai School of Medicine, New York, New York.

Insights

The "white coat effect" significantly elevates blood pressure readings during clinic visits compared to daily ambulatory monitoring, even with antihypertensive medications. This pressor response remains consistent over time in hypertensive patients.

Area of Science:

  • Cardiology
  • Hypertension Research
  • Clinical Pharmacology

Background:

  • The 'white coat effect' is a phenomenon where blood pressure is higher in a clinical setting than during ambulatory monitoring.
  • Understanding the magnitude and consistency of this effect is crucial for accurate hypertension management.

Purpose of the Study:

  • To quantify the pressor response to clinic visits using ambulatory blood pressure monitoring.
  • To assess if this effect persists despite antihypertensive treatment.

Main Methods:

  • Ambulatory blood pressure monitoring was used in 51 hypertensive patients on placebo or various antihypertensive drugs.
  • Clinic-related blood pressure readings were compared with clinic-unrelated readings throughout the day.
  • Repeat studies were conducted over 2-24 months to assess the consistency of the pressor response.

Main Results:

  • Clinic-related systolic, diastolic, and pulse pressures were significantly higher than clinic-unrelated pressures, both on placebo and during treatment.
  • The pressor response was observed even during the initial transit to and from the clinic.
  • The average pressor response remained consistent in repeat studies, but individual patient responses varied.

Conclusions:

  • The white coat effect significantly impacts blood pressure measurements in hypertensive patients.
  • This phenomenon is present regardless of antihypertensive medication, highlighting the importance of ambulatory monitoring for diagnosis and management.
  • While the overall pressor response is consistent, individual patient variability suggests a need for personalized monitoring strategies.

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