Sáenz-Abad Daniel, Gimeno-Orna José Antonio, Sierra-Bergua Beatriz, Pérez-Calvo Juan Ignacio
Servicio de Urgencias, Hospital Clínico Universitario Lozano Blesa, Zaragoza, España.
Servicio de Endocrinología, Hospital Clínico Universitario Lozano Blesa, Zaragoza, España.
Endocrinol Nutr. 2015 Jun-Jul;62(6):257-63. doi: 10.1016/j.endonu.2014.06.011. Epub 2015 Apr 20.
This study was intended to assess the effectiveness and predictors factors of inpatient blood glucose control in diabetic patients admitted to medical departments.
A retrospective, analytical cohort study was conducted on patients discharged from internal medicine with a diagnosis related to diabetes. Variables collected included demographic characteristics, clinical data and laboratory parameters related to blood glucose control (HbA1c, basal plasma glucose, point-of-care capillary glucose). The cumulative probability of receiving scheduled insulin regimens was evaluated using Kaplan-Meier analysis. Multivariate regression models were used to select predictors of mean inpatient glucose (MHG) and glucose variability (standard deviation [GV]).
The study sample consisted of 228 patients (mean age 78.4 (SD 10.1) years, 51% women). Of these, 96 patients (42.1%) were treated with sliding-scale regular insulin only. Median time to start of scheduled insulin therapy was 4 (95% CI, 2-6) days. Blood glucose control measures were: MIG 181.4 (SD 41.7) mg/dL, GV 56.3 (SD 22.6). The best model to predict MIG (R(2): .376; P<.0001) included HbA1c (b=4.96; P=.011), baseline plasma glucose (b=.056; P=.084), mean capillary blood glucose in the first 24hours (b=.154; P<.0001), home treatment (versus oral agents) with basal insulin only (b=13.1; P=.016) or more complex (pre-mixed insulin or basal-bolus) regimens (b=19.1; P=.004), corticoid therapy (b=14.9; P=.002), and fasting on admission (b=10.4; P=.098).
Predictors of inpatient blood glucose control which should be considered in the design of DM management protocols include home treatment, HbA1c, basal plasma glucose, mean blood glucose in the first 24hours, fasting, and corticoid therapy.
本研究旨在评估内科住院糖尿病患者血糖控制的有效性及预测因素。
对内科出院的糖尿病相关诊断患者进行回顾性分析队列研究。收集的变量包括人口统计学特征、临床数据以及与血糖控制相关的实验室参数(糖化血红蛋白、基础血浆葡萄糖、即时毛细血管血糖)。使用Kaplan-Meier分析评估接受预定胰岛素治疗方案的累积概率。采用多变量回归模型选择平均住院血糖(MHG)和血糖变异性(标准差[GV])的预测因素。
研究样本包括228例患者(平均年龄78.4(标准差10.1)岁,51%为女性)。其中,96例患者(42.1%)仅接受常规胰岛素滑动剂量治疗。开始预定胰岛素治疗的中位时间为4(95%置信区间,2 - 6)天。血糖控制指标为:平均住院血糖181.4(标准差41.7)mg/dL,血糖变异性56.3(标准差22.6)。预测平均住院血糖的最佳模型(R²:.376;P <.0001)包括糖化血红蛋白(b = 4.96;P =.011)、基础血浆葡萄糖(b =.056;P =.084)、最初24小时平均毛细血管血糖(b =.154;P <.0001)、仅使用基础胰岛素的家庭治疗(与口服药物相比)(b = 13.1;P =.016)或更复杂(预混胰岛素或基础 - 餐时)方案(b = 19.1;P =.004)、皮质激素治疗(b = 14.9;P =.002)以及入院时禁食(b = 10.4;P =.098)。
糖尿病管理方案设计中应考虑的住院血糖控制预测因素包括家庭治疗、糖化血红蛋白、基础血浆葡萄糖、最初24小时平均血糖、禁食和皮质激素治疗。