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首页> 外文期刊>Journal of Clinical Medicine Research >Predictors of Recurrent Hospital Admission for Patients Presenting With Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State
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Predictors of Recurrent Hospital Admission for Patients Presenting With Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State

机译：糖尿病酮症酸中毒和高血糖高渗状态患者再次入院的预测因素

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Background: Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are two serious, preventable complications of diabetes mellitus. Analysis of variables associated with recurrent DKA and HHS admission has the potential to improve patient outcomes by identifying possible areas for intervention. The aim of this study was to evaluate potential predictors of recurrent DKA or HHS admission.Methods: This was a retrospective case-control study of 367 patients presenting during a 5-year period with DKA or HHS at a US tertiary academic medical center. Six potential readmission risk factors identified via literature review were coded as “1” if present and “0” if absent. Readmission odds ratios (ORs) for each risk factor and for the combined score of significant risk factors were calculated by logistic regression.Results: Readmission odds were significantly increased for patients with age 10.6% on admission and ethnic minority status did not significantly increase readmission odds, with inadequate study power for these variables. A total “ABCD” score, based on Age (< 35 years), Behavioral health (depression), insurance Coverage (self-pay/publicly funded insurance), and Drug/alcohol abuse, also had a significant effect on readmission odds.Conclusions: Consideration of individual risk factors and the use of a scoring system based on objective predictors of recurrent DKA and HHS admission could be of value in helping identify patients with high readmission risk, allowing interventions to be targeted most effectively to reduce readmission rates, associated morbidity, and mortality.J Clin Med Res. 2017;9(1):35-39doi: https://doi.org/10.14740/jocmr2792w
机译：背景：糖尿病酮症酸中毒（DKA）和高血糖高渗状态（HHS）是两种严重的可预防的糖尿病并发症。与复发性DKA和HHS入院相关的变量分析有可能通过确定可能的干预领域来改善患者预后。这项研究的目的是评估可能复发DKA或HHS的预测因素。方法：这是一项在美国三级医学医疗中心对5年内出现DKA或HHS的367名患者进行的回顾性病例对照研究。通过文献综述确定的六个潜在再入院危险因素编码为“ 1”（如果存在）和“ 0”（如果不存在）。结果通过Logistic回归计算每个危险因素和重要危险因素综合得分的再入院几率（OR）。结果：入院10.6％年龄的患者再入院几率显着增加，而少数民族身份并没有显着增加再入院几率，对这些变量的研究能力不足。基于年龄（<35岁），行为健康（抑郁），保险承保范围（自费/公共资助保险）和药物/酒精滥用的“ ABCD”总分对再入院几率也有显着影响。 ：考虑到个人危险因素，并基于客观的复发性DKA和HHS入院预测指标使用评分系统，可能有助于识别高再入院风险的患者，使干预措施最有效地针对降低再入院率和相关发病率和死亡率。《临床医学杂志》。 2017; 9（1）：35-39doi：https://doi.org/10.14740/jocmr2792w

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