Risk of latent hypertension in type 2 diabetes patients under the background of AI in healthcare
10.3969/j.issn.1006-2483.2026.03.016
- VernacularTitle:基于AI的医疗健康管理模式下2型糖尿病患者隐匿性高血压发生风险分析
- Author:
Huijuan TANG
1
;
Li ZHANG
2
;
Qiumin YE
1
;
Xiaoqin DING
1
;
Xiaorong WANG
1
Author Information
1. The Second Affiliated Hospital of Chengdu Medical College · Nuclear Industry 416 Hospital, Chengdu , Sichuan 610051, China
2. Medical Services Department, Emei Rehabilitation and Convalescent Center, Emeishan, Sichuan 614200, China
- Publication Type:Journal Article
- Keywords:
Type 2 diabetes mellitus;
Masked hypertension;
Internet plus medical health;
Chronic disease management
- From:
Journal of Public Health and Preventive Medicine
2026;37(3):75-79
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the influence of the medical and health management model based on artificial intelligence (AI) on type 2 diabetes mellitus (T2DM) combined with masked hypertension (MH). Methods A total of 342 patients with T2DM admitted to the hospital from May 2021 to August 2024 were selected as research subjects, and the incidence rate of MH was counted. All patients were classified into the reference group (routine management) and the study group (AI+medical health management) according to the random number table method, with 171 cases in each group. The self-management, glycolipid metabolism and ambulatory blood pressure were compared between both groups before and after intervention. Results Among the 342 patients with T2DM, MH occurred in 34 cases, with an incidence rate of 9.94% (34/342). The self-management ability in the two groups was improved after 6 months and 12 months of intervention, and the self-management ability was higher in the study group (P<0.05). After 6 months and 12 months of intervention, the glucolipid metabolism indexes in both groups were optimized, and the improvements in the study group were greater (P<0.05). The daytime average systolic blood pressure and diastolic blood pressure, 24 h average systolic blood pressure and diastolic blood pressure were decreased in both groups after 6 months and 12 months of intervention, and the study group showed lower indexes (P<0.05). Conclusion T2DM are prone to MH. AI medical and health chronic disease management can enhance patients' self-management ability, help improve glucose and lipid metabolism, lower blood pressure, and help reduce the risk of MH.
