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目的:分析成人1型糖尿病（T1DM）患者使用智能手机移动应用程序（APP）的决策支持系统（DSS）后血糖变化情况。方法:本研究为干预研究，收集中国T1DM登记管理项目入组的，同时注册糖糖圈n ?APP的成人T1DM患者的资料信息（包括注册时的一般资料），并于注册后1年内，每3个月收集成人T1DM患者空腹血糖（Gn 空腹）、早餐后2 h血糖（Gn 2h-早餐）、午餐前/后2 h血糖（Gn 0h-午餐/Gn 2h-午餐）、晚餐前/后2 h血糖（Gn 0h-晚餐/Gn 2h-晚餐）、睡前血糖（Gn 睡前）和凌晨血糖（Gn 凌晨）水平，以及不同血糖范围的次数，包括正常血糖（血糖值3.9~7.8 mmol/L）、低血糖（血糖值<3.9 mmol/L）、高血糖（血糖值≥13.9 mmol/L），计算不同血糖次数在患者总血糖次数的占比（%）。按DSS每日使用频率将患者分为3组（低频率组、中等频率组和高频率组），比较不同DSS频率组间点血糖、高血糖占比、低血糖占比变化情况，以及不同频率组患者基线特征和血糖特征。n 结果:共纳入满足条件的成人T1DM患者629例，男216例（34.3%），女413例（65.7%），基线年龄为（31.5±10.8）岁，病程［n M（n Q1，n Q3）］为1.2（0.1，7.4）年。低、中、高频率组患者分别为239、189和201例。注册后10~12个月，3组患者间Gn 空腹、Gn 2h-早餐、Gn 0h-午餐、Gn 2h-午餐、Gn 0h-晚餐、Gn 2h-晚餐、Gn 凌晨水平差异均有统计学意义（均n P<0.05），高频率组各点血糖水平均低于其他两组（均n P0.05）；注册后10~12个月低、中、高频率组患者间低血糖占比［n M（n Q1，n Q3）］［3.34%（0.85%，7.40%）、3.00%（0.78%，6.17%）、1.81%（0.37%，4.69%），n P=0.022］和高血糖占比［4.04%（0，12.16%）、1.88%（0，7.80%）、0.81%（0，3.87%），n P=0.001］差异均有统计学意义。n 结论:移动APP决策支持功能有助于成年T1DM患者血糖管理，注册后1年内，患者在血糖水平降低的同时，高血糖和低血糖发生比例也减少。“,”Objective:To analyze the changes in glucose after using a decision support system (DSS) of a smartphone mobile application (APP) in adults with type 1 diabetes mellitus (T1DM).Methods:In the intervention study, the data (including general information at the time of registration) of adult T1DM patients enrolled in the Chinese T1DM Registration Management Project and registered with TangTangQuan? APP were collected. Within 1 year after registration, fasting blood glucose, pre-prandial and postprandial blood glucose at the three meals, blood glucose before bedtime and in nocturnal time were collected every 3 months. Frequencies of total recorded glucose values and proportion of different ranges of glycemia were also collected and analyzed, including the range between 3.9-7.8 mmol/L (Euglycemia), ranged below 3.9 mmol/L (Hypoglycemia) and range above 13.9 mmol/L (hyperglycemia). The patients were divided into 3 groups according to the daily use frequency of DSS (Low/Moderate/High frequency groups). The changes in point blood glucose, the proportion of hyperglycemia and hypoglycemia over time were compared among different groups, as well as the baseline characteristics and glucose characteristics of patients.Results:A total of 629 eligible T1DM patients were included, including 216 (34.3%) males and 413 (65.7%) females, aged (31.5±10.8) years, and disease duration [n M(n Q1, n Q3)] of 1.2 (0.1, 7.4) years. There were 239, 189 and 201 patients in the low, moderate and high frequency groups, respectively. Significant differences were observed among the three groups in all timepoints of self-monitoring blood glucose except for the glucose before bedtime from 10 to 12 months after registration (all n P values0.05). However, from 10 to 12 months after registration, the proportion [n M(n Q1, n Q3)] of hypoglycemia [3.34% (0.85%, 7.40%), 3.00% (0.78%, 6.17%), 1.81% (0.37%, 4.69%)] (n P=0.022) between groups (from low to high frequency groups) and hyperglycemia [4.04% (0, 12.16%), 1.88% (0, 7.80%), 0.81% (0, 3.87%)] (n P=0.001) were significantly different.n Conclusions:The DSS function of mobile APP is helpful to the glucose management of adult patients with T1DM within 1 year after registration. The average blood glucose in adults with T1DM decreased, and the proportions of hyperglycemia and hypoglycemia were also reduced.