Why the study?
Does real-time clinic-based assessment of blood pressure agree with standard mercury assessment in patients with hypertension?
Does real-time clinic-based assessment of blood pressure agree with standard mercury assessment in patients with hypertension?
Routine clinic-based blood pressure measurements significantly overestimate standard mercury readings, potentially leading to the misdiagnosis of uncontrolled hypertension in up to 21% of patients.
Clinic BP overestimation may misclassify hypertension control; hypothesis-generating for validation of automated devices against mercury standards.
BACKGROUND: Obtaining accurate blood pressure (BP) readings is a challenge faced by health professionals. Clinical trials implement strict protocols, whereas clinical practices and studies that assess quality of care utilize a less rigorous protocol for BP measurement. OBJECTIVE: To examine agreement between real-time clinic-based assessment of BP and the standard mercury assessment of BP. DESIGN: Prospective reliability study. PATIENTS: One hundred patients with an International Classification of Diseases-9th edition code for hypertension were enrolled. MEASURES: Two BP measurements were obtained with the Hawksley random-zero mercury sphygmomanometer and averaged. The clinic-based BP was extracted from the computerized medical records. RESULTS: Agreement between the mercury and clinic-based systolic blood pressure (SBP) was good, intraclass correlation coefficient (ICC)=0.91 (95% confidence interval (CI): 0.83 to 0.94); the agreement for the mercury and clinic-based diastolic blood pressure (DBP) was satisfactory, ICC=0.77 (95% CI: 0.62 to 0.86). Overall, clinic-based readings overestimated the mercury readings, with a mean overestimation of 8.3 mmHg for SBP and 7.1 mmHg for DBP. Based on the clinic-based measure, 21% of patients were misdiagnosed with uncontrolled hypertension. CONCLUSIONS: Health professionals should be aware of this potential difference when utilizing clinic-based BP values for making treatment decisions and/or assessing quality of care.
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Kim et al. (2005) studied this question.
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