Key result
Intelligent office BP measurement records a realistic ~42% BP control rate vs conventional models, eliminating end-digit preference.
Why the study?
An intelligent office blood pressure measurement model was piloted for community-based hypertension management to overcome deficiencies in conventional blood pressure management.
Does an intelligent office blood pressure measurement model improve the accuracy of BP measurements compared to conventional management in adults with hypertension?
Observational (n=8,653)
Yes
Does an intelligent office blood pressure measurement model improve the accuracy of BP measurements compared to conventional management in adults with hypertension?
Automated, intelligent office blood pressure measurement eliminates end-digit preference and provides more accurate BP assessment compared to conventional routine measurement.
Answers are grounded in this paper and cite their sources.
Conventional BP measurement may overestimate control; supports validation of intelligent models in prospective studies before practice change.
Introduction: An intelligent office blood pressure measurement (IOBPM) model for community-based hypertension management was piloted in Shanghai, China, to overcome the conventional blood pressure management (CBPM) model’s deficiencies. Methods: We selected adults aged 35–89 years who were being treated and managed for hypertension in two community health centers for the IOBPM and CBPM models. The IOBPM model consisted of two or three consecutive blood pressure (BP) measurements using a pre-programmed and validated automatic device. The BP data for the CBPM model were obtained from the routine follow-up records of hypertensive patients and derived from the Shanghai Non-communicable Diseases Management Information System. Subjects in the IOBPM model were selected by a simple random sampling method, and propensity score matching was used to select a comparable control population from the CBPM model based on important covariables. The BP levels, end-digit preferences, frequency distribution, and BP control were compared between the two models. Results: We selected 2,909 patients for the IOBPM model and 5,744 for the CBPM model. The systolic BP in the CBPM model was 12.3 mmHg lower than in the IOBPM model. In the CBPM model, there were statistically significant end-digit preferences (P < 0.001), with zero being the most reported end-digit (23.3% for systolic BP and 27.7% for diastolic BP). There was no significant end-digit preference in the IOBPM model. Certain BP values below 140/90 mmHg in the CBPM model were more frequent, while the IOBPM model showed a normal distribution. The BP control in the CBPM model was significantly higher than the IOBPM model (P < 0.001). Conclusion: The IOBPM model appears to overcome the deficiencies of the CBPM model, leading to more accurate and reliable BP measurements.
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Wu et al. (2024) conducted an observational in Hypertension (n=8,653). Intelligent office blood pressure measurement (IOBPM) model vs. Conventional blood pressure management (CBPM) model was evaluated on Blood pressure control (<140/90 mmHg) (p=<0.001). The intelligent office blood pressure measurement model recorded a more realistic hypertension control rate of 42.0% compared to 90.2% with the conventional model, while eliminating end-digit preference.
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