3种Glucometrics模型在非内分泌科住院患者血糖数据分析中的应用

Application of three Glucometrics models in blood glucose data analysis in inpatients of non-endocrine departments

  • 摘要: 目的 通过信息化的血糖监测数据,分析非内分泌科糖尿病住院患者的血糖特点,评价各科室血糖管理情况。 方法 运用信息化血糖采集系统采集3 313例次非内分泌科住院患者的124 770个床边即时血糖数据,采用Population、Patient和Patient-day这3种Glucometrics模型以及质量高血糖评分(QHS)对血糖数值进行分析。 结果 Population模型中, 21: 00至次日5: 00间血糖监测频率低,但低血糖发生率也明显升高; Patient模型中,有5.34%患者发生了≥3 d的低血糖, 10.53%患者同时发生了高血糖与低血糖; Patient-day模型中,低血糖和严重低血糖的发生率分别为3.99%和0.48%。 结论 3种Glucometrics模型可分别提供不同的血糖信息,并不能相互替代,临床工作中需要综合分析评估。

     

    Abstract: Objective To analyze the characteristics of glycemic characteristics of inpatients in non-endocrine departments and to evaluate their blood glucose management according to informationized blood glucose monitoring data. Methods A total of 124 770 real-time bedside glucose data from 3 313 non-endocrinology inpatients was collected by information-based glucose collection system, and the blood glucose values was analyzed by Glucometrics models including Population, Patient, Patient-day model and Quality Hyperglycemia Score(QHS). Results In the Population model, the frequency of blood glucose monitoring was low from 21: 00 to 5: 00 the following day, but the incidence of hypoglycemia was also significantly increased. In the Patient model, there were 5.34%of inpatients with more than 3 days of hypoglycemia and 10.53% experiencing both hyperoglycemia and hypoglycemia during hospitalization. In the Patient-day model, the rates of hypoglycemia and severe hypoglycemia were 3.99% and 0.48%, respectively. Conclusion Three Glucometrics models can provide different blood glucose information, but cannot be replaced each other. Therefore, comprehensive analysis and evaluation are needed in clinic.

     

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