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Association between admission hyperglycaemia with in-hospital mortality rate in patients with hypertension and acute aortic dissection

医学 优势比 混淆 内科学 逻辑回归 置信区间 外科
作者
Saimire Mutailifu,Qing Zhu,Xintian Cai,Mulalibieke Heizhati,Shasha Liu,Yujie Dang,Ting Wu,Jing Hong,Yue Lin,Nanfang Li
出处
期刊:Journal of International Medical Research [SAGE Publishing]
卷期号:52 (11) 被引量:1
标识
DOI:10.1177/03000605241291742
摘要

Objective Admission hyperglycaemia is recognized as a contributor to poor outcomes in patients with cardiovascular and cerebrovascular diseases. This study aimed to evaluate the association between admission hyperglycaemia and in-hospital mortality in patients with hypertension and acute aortic dissection (AAD). Methods Patients diagnosed with hypertension and AAD between 1 January 2010 and 1 March 2023 were enrolled into this retrospective observational study, and divided into two groups based on admission blood glucose levels (BGA): normoglycemia (BGA < 7.8 mmol/L) and hyperglycaemia (BGA ≥ 7.8 mmol/L). The outcome was all-cause in-hospital mortality, which was analysed using logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Results In total, 1239 patients were included (comprising 954 [77%] male patients; mean age, 53.0 years; and median BGA, 6.1 mmol/L). Logistic regression analysis showed that in-hospital mortality was 2.53 times greater for patients with hyperglycaemia versus the normoglycaemia group (95% CI 1.68, 3.80). This significant association persisted after adjustments for potential confounders (adjusted OR 2.45 [95% CI 1.58, 3.85]). Restricted cubic spline analysis revealed that the relationship between BGA and mortality reached statistical significance at BGA > 6.1 mmol/L. Stratified analysis and sensitivity analysis confirmed the robustness of this relationship. Conclusion Admission hyperglycaemia correlated with an elevated risk of in-hospital mortality in patients with hypertension and AAD, particularly BGA > 6.1 mmol/L, indicating that BGA level may be useful in identifying patients who are at an elevated risk of all-cause mortality.

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