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Predictive factors for invasive fungal rhinosinusitis in diabetic patients: Systematic review and data re-analysis.
Asian Pacific Journal of Allergy and Immunology ( IF 2.3 ) Pub Date : 2020-12-02 , DOI: 10.12932/ap-250720-0929
Thwe Phyo Kan Nyunt 1, 2 , Joaquim Mullol 3 , Kornkiat Snidvongs 1, 2
Affiliation  

This systematic review aims to identify prognostic factors for the overall survival of invasive fungal rhinosinusitis (IFRS) in patients with diabetes using original data from the existing published articles. Systematic searches of Medline, EMBASE, and Cochrane Library databases were performed to include articles from 1988 to 2019 using the terms: "fung*" AND "rhinosinusitis" AND "invasive" AND "diabetes OR ketoacidosis". Data from 258 diabetic patients with IFRS (mean age 55.9 years, 55.6% male, 124 studies) were extracted for data analysis. The mortality rate was 31.8%. Seven variables: plasma glucose level, HbA1C, ketoacidosis, leukopenia, serum creatinine level, duration of diabetes, and the cavernous sinus extension were assessed. Univariate analysis was done for each variable and revealed that the cavernous sinus extension was a significant risk factor. Multivariable logistic regression analysis confirmed that the cavernous sinus extension independently predicted mortality in patients with diabetes (hazard ratio (HR) 2.6, 95% confidence interval (CI) 1.2 to 5.4, p = 0.01). Kaplan Meier curve and Log-rank test were used for analyzing survival outcomes. The twelve-month overall survival rate of the patients with the cavernous sinus extension was 43.9% compared to 73.9% for the patients without the cavernous sinus extension (p = 0.01). Appropriate treatment of this condition could enhance the survival outcomes.

中文翻译:

糖尿病患者侵袭性真菌性鼻窦炎的预测因素:系统评价和数据再分析。

本系统评价旨在利用现有已发表文章的原始数据,确定糖尿病患者侵袭性真菌性鼻窦炎 (IFRS) 总生存期的预后因素。对 Medline、EMBASE 和 Cochrane 图书馆数据库进行了系统搜索,以包括 1988 年至 2019 年的文章,使用术语:“真菌*”和“鼻窦炎”和“侵入性”和“糖尿病或酮症酸中毒”。提取了 258 名患有 IFRS 的糖尿病患者(平均年龄 55.9 岁,男性占 55.6%,124 项研究)的数据进行数据分析。死亡率为31.8%。评估了七个变量:血浆葡萄糖水平、HbA1C、酮症酸中毒、白细胞减少症、血清肌酐水平、糖尿病病程和海绵窦扩张。对每个变量进行单变量分析,发现海绵窦扩张是一个重要的危险因素。多变量逻辑回归分析证实,海绵窦扩张可独立预测糖尿病患者的死亡率(风险比 (HR) 2.6,95% 置信区间 (CI) 1.2 至 5.4,p = 0.01)。Kaplan Meier 曲线和对数秩检验用于分析生存结果。海绵窦扩张患者的 12 个月总生存率为 43.9%,而海绵窦扩张患者的 12 个月总生存率为 73.9%(p = 0.01)。这种情况的适当治疗可以提高生存结果。多变量逻辑回归分析证实,海绵窦扩张可独立预测糖尿病患者的死亡率(风险比 (HR) 2.6,95% 置信区间 (CI) 1.2 至 5.4,p = 0.01)。Kaplan Meier 曲线和对数秩检验用于分析生存结果。海绵窦扩张患者的 12 个月总生存率为 43.9%,而海绵窦扩张患者的 12 个月总生存率为 73.9%(p = 0.01)。这种情况的适当治疗可以提高生存结果。多变量逻辑回归分析证实,海绵窦扩张可独立预测糖尿病患者的死亡率(风险比 (HR) 2.6,95% 置信区间 (CI) 1.2 至 5.4,p = 0.01)。Kaplan Meier 曲线和对数秩检验用于分析生存结果。海绵窦扩张患者的 12 个月总生存率为 43.9%,而海绵窦扩张患者的 12 个月总生存率为 73.9%(p = 0.01)。这种情况的适当治疗可以提高生存结果。9% 与没有海绵窦扩展的患者的 73.9% 相比 (p = 0.01)。这种情况的适当治疗可以提高生存结果。9% 与没有海绵窦扩展的患者的 73.9% 相比 (p = 0.01)。这种情况的适当治疗可以提高生存结果。
更新日期:2020-12-06
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