入院血糖差距与神经重症糖尿病患者短期预后的关系

Mymensingh medical journal : MMJ Pub Date : 2024-07-01
K T Mozazfia, M K Mondol, M K Mazumder, M A Kader, G C Roy, A K M Habibullah, S Sultana, M Ahmed
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引用次数: 0

摘要

神经系统急症和高血糖都是导致重症监护病房患者死亡的独立危险因素。在重症患者中,高血糖是继发于已经存在的糖尿病或应激诱发的高血糖(SIH)。入院血糖差距(AGG)被认为是 SIH 的可靠指标。本研究旨在探讨 AGG 与糖尿病神经重症患者短期死亡率的关系,并了解 AGG 预测预后的潜力。研究人员对重症监护室收治的 60 名至少住院 24 小时的成年糖尿病神经重症患者进行了为期 30 天的前瞻性观察,或观察至患者出院或死亡(以先到者为准)。患者在入院 24 小时内接受了初步临床评估和 HbA1c、CBC、ABG 和血糖水平检查。A1c 导出入院血糖(ADAG)的计算公式为:ADAG = (1.59 × HbA1c) - 2.59(mmol/L)。AGG 的计算方法是从入院血糖水平(ABGL)减去 ADAG。死亡或存活 30 天是我们的主要结果,根据主要结果将参与者分为存活组和非存活组。我们对各组之间的研究变量进行了统计比较,并探讨了血糖参数与死亡率之间的关系。在登记的 60 名患者中,35 人(58.3%)为非存活者,25 人(41.7%)为存活者。年龄、性别、居住地、主要诊断、并发症或用药史与存活/非存活没有关系。在初始临床评估参数中,较低的 GCS 与未存活显著相关。各组间的 AGG、HbA1c、ADAG 和 ABGL 有显著差异,非存活者的数值更高。GCS 值越低,AGG、HbA1c、ADAG 和 ABGL 值越高,非存活几率越大。AGG 的非存活几率最高(OR 2.95,95% CI:1.83-4.75;p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Admission Glycemic Gap on Short-term Outcome of Neuro-critical Patients with Diabetes.

Both of neurological emergencies and hyperglycemia are independently associated risk factors of mortality in the ICU patients. In critically ills, hyperglycemia is secondary to already existing DM or stress-induced hyperglycemia (SIH). Admission glycemic gap (AGG) is considered as a reliable indicator of SIH. This study aimed to explore the association of AGG on diabetic neuro-critical patients' short-term mortality, and understand the potential of AGG as the predictor of outcome. Sixty adult diabetic neuro-critical patients admitted in ICU and stayed at least for 24 hours, were prospectively observed for 30 days, or until discharge or death, whichever came first. The patients' initial clinical assessment and HbA1c, CBC, ABG, and blood glucose level were done within 24 hours of admission. A1c derived admission glucose (ADAG) was calculated as, ADAG = (1.59 × HbA1c) - 2.59 (mmol/L). The AGG was calculated by subtracting ADAG from admission blood glucose level (ABGL). Death or survival of 30 days was our primary outcome and participants were divided between survivor or non-survivor groups according to primary outcome. Statistical comparisons of the study variables between the groups were performed and the relationship between parameters derived from blood glucose and mortality was prospected. Among the 60 patients enrolled, 35(58.3%) were non-survivors and 25(41.7%) were survivors. Age, sex, residence, primary diagnosis, co-morbidity, or drug history had no association with survival/non-survival. Among the initial clinical assessment parameters, lower GCS had significant association with non-survival. AGG, HbA1c, ADAG and ABGL were significantly different between the groups, with higher values in the non-survivors. Lower GCS, and higher AGG, HbA1c, ADAG and ABGL showed significant odds of non-survival. The highest odds of non- survival was for AGG (OR 2.95, 95% CI: 1.83-4.75; p<0.001). For ABGL and HbA1c the OR were 2.03 (95% CI: 1.44-2.86; p<0.001) and 1.93 (95% CI: 1.04-3.58; p<0.04) respectively. The final adjusted odds (aOR) of non-survival for higher AGG was 3.25 (95% CI: 1.71-6.16; p<0.001), signifying that AGG is independently associated with non-survival. AGG, GCS level, ABGL, HbA1c level, and ADAG can predict short-term outcome (mortality). However, AGG has the greatest potential to predict short-term outcome in diabetic neuro-critical patients.

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