E. Burner, Lucy Liu, S. Terp, S. Arora, C. Lam, M. Menchine, D. Dworkis, S. Axeen
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引用次数: 0
摘要
目的:在2019冠状病毒病大流行期间,糖尿病酮症酸中毒(DKA)的发病率有所增加,但对资源匮乏地区的估计有限。我们检查了洛杉矶县卫生服务部(DHS)急诊科(ED)就诊中DKA的几率(1)在COVID-19大流行期间与前COVID时代相比,(2)没有活跃的COVID感染,(3)通过效应修饰因子分层以确定受影响的亚组。方法我们估计了COVID时代前(2019年3月- 2020年2月)400,187次ED就诊和COVID时代(2020年3月- 2021年2月)320,920次ED就诊的DKA几率。我们的基础模型基于COVID时代估计了DKA的几率。其他规格按效果调节剂分层,控制混杂因素,限制未确诊COVID-19疾病的访问。结果在调整上呼吸道感染和付款人的分诊灵敏度和相互作用条件后,与前相比,COVID时期DKA的几率高27% (95%CI 14-41%, p < 0.001)。在分层分析中,在COVID时代,私人支付者的就诊几率增加了112%,医疗补助的就诊几率增加了20% (95%CI 7-36%, p = 0.003)。结论:我们发现在COVID大流行期间,DKA的几率增加,符合各种规格。我们发现付款人的不同影响;私人保险患者在COVID期间的几率增加。
Increased risk of diabetic ketoacidosis in an Urban, United States, safety-net emergency department in the COVID-19 era
Aims The incidence of diabetic ketoacidosis (DKA) increased during the COVID-19 pandemic but estimates from low-resource settings are limited. We examined the odds of DKA among emergency department (ED) visits in the Los Angeles County Department of Health Services (DHS) (1) during the COVID-19 pandemic compared to the pre-COVID era, (2) without active COVID infections, and (3) stratified by effect modifiers to identify impacted sub-groups. Methods We estimated the odds of DKA from 400,187 ED visits pre-COVID era (March 2019–Feb 2020) and 320,920 ED visits during the COVID era (March 2020–Feb 2021). Our base model estimated the odds of DKA based on the COVID era. Additional specifications stratified by effect modifiers, controlled for confounders, and limited to visits without confirmed COVID-19 disease. Results After adjusting for triage acuity and interaction terms for upper respiratory infections and payor, the odds of DKA during the COVID era were 27% higher compared to the pre-COVID era (95%CI 14–41%, p < 0.001). In stratified analyses, visits with private payors had a 112% increased odds and visits with Medicaid had a 20% increased odds of DKA during the COVID era (95%CI 7–36%, p = 0.003). Conclusions We identified increased odds of DKA during the COVID pandemic, robust to a variety of specifications. We found differential effects by the payor; with increased odds during COVID for privately-insured patients.