Background: Hypertension (high blood pressure) is a major risk factor for heart disease and stroke, yet many people do not know they have it. In Malaysia, nearly half of all adults with elevated blood pressure are unaware of their condition. Standard clinic blood pressure checks can miss cases of high blood pressure or falsely flag temporary stress-related spikes. While 24-hour Ambulatory Blood Pressure Monitoring (ABPM) is the standard method for an accurate diagnosis, it is not practical for large-scale screening. Purpose: The purpose of this study is to evaluate whether a novel Huawei smartwatch, which uses photoplethysmography (PPG) technology to estimate blood pressure, can accurately identify individuals at high risk for hypertension in a real-world setting. Study Design \& Procedures: Participants: Approximately 500 adults will be enrolled over a 24-month study period. Screening: All participants will use the Huawei smartwatch screening tool to monitor their blood pressure estimates. Validation: A subgroup of approximately 50 participants identified as high-risk by the smartwatch will undergo 24-hour ABPM (the clinical gold standard) to confirm whether they have high blood pressure. Goal: Researchers aim to validate the accuracy of the smartwatch screening tool against 24-hour ABPM to determine if wearable technology can support early detection and timely treatment of undiagnosed hypertension in the community.
Study Type
OBSERVATIONAL
Enrollment
500
Faculty of Medical and Life Sciences, Sunway University
Subang Jaya, Selangor, Malaysia
Diagnostic Accuracy (AUC-ROC) of the Huawei PPG Smartwatch Hypertension Risk Algorithm Compared to 24-Hour Ambulatory Blood Pressure Monitoring (ABPM)
Measure Description: Area Under the Receiver Operating Characteristic Curve (AUC-ROC) evaluated by comparing the binary high-risk classification flags generated by the Huawei PPG smartwatch algorithm directly against diagnostic confirmation from clinical 24-hour ABPM. Unit of Measure: Score on a scale from 0.0 to 1.0 (where 0.5 represents chance performance and 1.0 represents perfect discrimination)
Time frame: Month 11 through Month 18.
Diagnostic Sensitivity of the Huawei PPG Smartwatch Hypertension Risk Algorithm
Measure Description: The proportion of participants with true ABPM-confirmed hypertension who are correctly identified as high-risk by the Huawei PPG smartwatch algorithm. Unit of Measure: Percentage of true positive cases
Time frame: Month 11 through Month 18.
Diagnostic Specificity of the Huawei PPG Smartwatch Hypertension Risk Algorithm
Measure Description: The proportion of participants without ABPM-confirmed hypertension who are correctly identified as low-risk by the Huawei PPG smartwatch algorithm. Unit of Measure: Percentage of true negative cases
Time frame: Month 11 through Month 18.
Positive Predictive Value (PPV) of the Huawei PPG Smartwatch Hypertension Risk Algorithm
Measure Description: The probability that a participant flagged as high-risk by the Huawei PPG smartwatch algorithm actually has hypertension confirmed by 24-hour ABPM. Unit of Measure: Percentage
Time frame: Month 11 through Month 18
Negative Predictive Value (NPV) of the Huawei PPG Smartwatch Hypertension Risk Algorithm
Measure Description: The probability that a participant flagged as low-risk by the Huawei PPG smartwatch algorithm actually does not have hypertension confirmed by 24-hour ABPM. Unit of Measure: Percentage
Time frame: Month 11 through Month 18
Participant Adherence to Huawei Wearable Monitoring Protocols
Measure Description: The proportion of enrolled participants who achieve minimum complete wearable datasets, defined as continuous daily wear of the Huawei smartwatch to track PPG, heart rate, physical activity, and sleep metrics. Unit of Measure: Percentage of enrolled participants
Time frame: Month 1 through Month 12 (up to 12 months per participant)
Participant Usability and Acceptance Score Measured via Post-Monitoring Questionnaire
Measure Description: Total score evaluating participant satisfaction, device comfort, and acceptance of the Huawei wearable for hypertension screening, measured using a standardized post-monitoring user experience questionnaire. Unit of Measure: Mean score on a 1 to 5 Likert scale (where 1 = Strongly Disagree/Poor and 5 = Strongly Agree/Excellent)
Time frame: At the completion of the wearable monitoring phase (Month 12).
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