Abstract：
UNASSIGNED: The objective was to utilize a smartwatch sphygmomanometer to predict new-onset hypertension within a short-term follow-up among individuals with high-normal blood pressure (HNBP).
UNASSIGNED: This study consisted of 3180 participants in the training set and 1000 participants in the validation set. Participants underwent both ambulatory blood pressure monitoring (ABPM) and home blood pressure monitoring (HBPM) using a smartwatch sphygmomanometer. Multivariable Cox regressions were used to analyze cumulative events. A nomogram was constructed to predict new-onset hypertension. Discrimination and calibration were assessed using the C-index and calibration curve, respectively.
UNASSIGNED: Among the 3180 individuals with HNBP in the training set, 693 (21.8%) developed new-onset hypertension within a 6-month period. The nomogram for predicting new-onset hypertension had a C-index of 0.854 (95% CI, 0.843-0.867). The calibration curve demonstrated good agreement between the nomogram\'s predicted probabilities and actual observations for short-term new-onset hypertension. In the validate dataset, during the 6-month follow-up, the nomogram had a good C-index of 0.917 (95% CI, 0.904-0.930) and a good calibration curve. As the score increased, the risk of new-onset hypertension significantly increased, with an HR of 8.415 (95% CI: 5.153-13.744, p = .000) for the middle-score vs. low-score groups and 86.824 (95% CI: 55.071-136.885, p = .000) for the high-score vs. low-score group.
UNASSIGNED: This study provides evidence for the use of smartwatch sphygmomanometer to monitor blood pressure in individuals at high risk of developing new-onset hypertension in the near future.
UNASSIGNED: ChiCTR2200057354.
UNASSIGNED: This study consisted of 3180 participants in the training set and 1000 participants in the validation set. Participants underwent both ambulatory blood pressure monitoring (ABPM) and home blood pressure monitoring (HBPM) using a smartwatch sphygmomanometer. Multivariable Cox regressions were used to analyze cumulative events. A nomogram was constructed to predict new-onset hypertension. Discrimination and calibration were assessed using the C-index and calibration curve, respectively.
UNASSIGNED: Among the 3180 individuals with HNBP in the training set, 693 (21.8%) developed new-onset hypertension within a 6-month period. The nomogram for predicting new-onset hypertension had a C-index of 0.854 (95% CI, 0.843-0.867). The calibration curve demonstrated good agreement between the nomogram\'s predicted probabilities and actual observations for short-term new-onset hypertension. In the validate dataset, during the 6-month follow-up, the nomogram had a good C-index of 0.917 (95% CI, 0.904-0.930) and a good calibration curve. As the score increased, the risk of new-onset hypertension significantly increased, with an HR of 8.415 (95% CI: 5.153-13.744, p = .000) for the middle-score vs. low-score groups and 86.824 (95% CI: 55.071-136.885, p = .000) for the high-score vs. low-score group.
UNASSIGNED: This study provides evidence for the use of smartwatch sphygmomanometer to monitor blood pressure in individuals at high risk of developing new-onset hypertension in the near future.
UNASSIGNED: ChiCTR2200057354.
摘要：
■目的是利用智能手表血压计在短期随访中预测高正常血压（HNBP）个体的新发高血压。
■本研究由训练集中的3180名参与者和验证集中的1000名参与者组成。参与者使用智能手表血压计进行了动态血压监测（ABPM）和家庭血压监测（HBPM）。使用多变量Cox回归分析累积事件。建立列线图来预测新发高血压。使用C指数和校准曲线评估辨别和校准，分别。
■在训练集中的3180名具有HNBP的个体中，693（21.8％）在6个月内出现了新发高血压。预测新发高血压的列线图的C指数为0.854（95％CI，0.843-0.867）。校准曲线表明，对于短期新发高血压，列线图的预测概率与实际观察值之间具有良好的一致性。在验证数据集中，在6个月的随访中，列线图的C指数良好,为0.917(95%CI,0.904~0.930),校准曲线良好.随着分数的增加，新发高血压的风险显著增加，中等得分的HR为8.415（95％CI：5.153-13.744，p=.000）低分数组和86.824（95％CI：55.071-136.885，p=.000）的高分数组与低分数组。
■这项研究为在不久的将来使用智能手表血压计监测新发高血压风险高的个体的血压提供了证据。
■ChiCTR2200057354。
■本研究由训练集中的3180名参与者和验证集中的1000名参与者组成。参与者使用智能手表血压计进行了动态血压监测（ABPM）和家庭血压监测（HBPM）。使用多变量Cox回归分析累积事件。建立列线图来预测新发高血压。使用C指数和校准曲线评估辨别和校准，分别。
■在训练集中的3180名具有HNBP的个体中，693（21.8％）在6个月内出现了新发高血压。预测新发高血压的列线图的C指数为0.854（95％CI，0.843-0.867）。校准曲线表明，对于短期新发高血压，列线图的预测概率与实际观察值之间具有良好的一致性。在验证数据集中，在6个月的随访中，列线图的C指数良好,为0.917(95%CI,0.904~0.930),校准曲线良好.随着分数的增加，新发高血压的风险显著增加，中等得分的HR为8.415（95％CI：5.153-13.744，p=.000）低分数组和86.824（95％CI：55.071-136.885，p=.000）的高分数组与低分数组。
■这项研究为在不久的将来使用智能手表血压计监测新发高血压风险高的个体的血压提供了证据。
■ChiCTR2200057354。
