Criteria for the diagnosis or exclusion of hypertension using ambulato
ry blood pressure monitoring have not been agreed upon. We designed th
is study to provide a statistically based guide for using results of a
mbulatory blood pressure monitoring to resolve this issue. To generate
this information, we used a database of 228 subjects (135 men, 93 wom
en; average age, 45 years) referred by their primary physicians over t
he past 7 years for evaluation of borderline or stage I hypertension (
average blood pressure, 148/92 mm Hg; SD, +/-17.5/12.2 mm Hg). In this
population, the pooled SDs of systolic and diastolic ambulatory blood
pressures were 13.8 and 11.6 mm Hg, respectively. Using the pooled SD
, we calculated the probability that a patient's blood pressure falls
within the hypertensive range (>140/90 mm Hg). The 95% confidence inte
rval for each subject's blood pressure was also determined. For exampl
e, if 40 ambulatory blood pressure measurements are performed on a sub
ject and the average systolic ambulatory blood pressure is 137 mm Hg,
then there is a 10% probability that the patient's ''true'' average bl
ood pressure is actually in the hypertensive range. By contrast, if th
e systolic pressure is 143 mm Hg, there is a 90% probability that the
patient is hypertensive. This approach may be useful for clinical deci
sion making and also for the design of clinical trials.