Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
BMJ Open Diabetes Res Care. 2021 Dec;9(Suppl 1). doi: 10.1136/bmjdrc-2021-002153.
Hypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems.
This retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014.
Yearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73).
Rates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.
低血糖是糖尿病治疗中最常见的严重不良反应,也是导致与药物相关住院的主要原因。本研究旨在利用来自六个学术医疗系统的电子健康记录数据,确定 2 型糖尿病患者因低血糖住院的趋势和预测因素。
这是一项回顾性开放队列研究,纳入了 2009 年至 2019 年期间在纳入的医疗系统中接受常规护理的 549041 名 2 型糖尿病成人患者。主要结局是低血糖住院利用的年度事件率:使用验证后的国际疾病分类第 9 版(ICD-9)算法,从 2009 年至 2014 年确定的低血糖急诊就诊、观察就诊或住院。在 2015 年转为 ICD-10 后,我们使用了两个来自先前研究的 ICD-10 代码集(有限和扩展)来确定低血糖住院利用情况。我们使用 2014 年的数据,通过多变量逻辑回归分析确定了低血糖住院利用的独立预测因素。
2009 年至 2014 年,低血糖住院利用率从每年每 1000 例患者 2.7 例降至 1.6 例(趋势检验 p=0.023)。从 2016 年到 2019 年,使用有限和扩展 ICD-10 代码集,每年的事件率分别稳定在 5.6 到 6.6 或 6.3 到 7.3。在 2014 年,低血糖住院利用的最强独立危险因素是慢性肾脏病(OR 2.86,95%CI 2.33 至 3.57)、年龄 18-39 岁(OR 2.43 比 40-64 岁,95%CI 1.78 至 3.31)和胰岛素使用(OR 2.13 比无糖尿病药物,95%CI 1.67 至 2.73)。
2009 年至 2014 年,低血糖住院利用率下降,且与慢性肾脏病等临床危险因素差异较大,导致年轻成年人、胰岛素使用者和慢性肾脏病患者的风险尤其高。需要验证使用 ICD-10 代码确定低血糖的准确性,ICD-10 检测到的事件数量明显高于 ICD-9。