再生障碍性贫血患者接受免疫抑制治疗后血流感染的影响因素:逻辑回归分析。

IF 1.7 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2024-10-15 eCollection Date: 2024-01-01 DOI:10.62347/URKZ2878
Jing Li, Changqing Xue, Gang Liu, Gonggang Gao, Dahai Wei
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引用次数: 0

摘要

目的:利用逻辑回归分析再生障碍性贫血患者接受免疫抑制治疗后发生血流感染的风险因素:采用Logistic回归方法分析再生障碍性贫血患者接受免疫抑制治疗后发生血流感染的风险因素:对梓潼县人民医院和江油市传染病医院 2011 年 3 月至 2023 年 3 月收治的 70 例再生障碍性贫血患者的临床资料进行回顾性分析。根据患者治疗后是否发生感染将其分为两组:感染组(18 人)和非感染组(52 人)。分析了免疫抑制治疗后发生血流感染的风险因素,并评估了独立风险因素的预测价值:结果:单变量分析发现,年龄、糖尿病、疾病严重程度、白蛋白水平、中性粒细胞计数和治疗前并发感染是免疫抑制治疗后发生血流感染的重要危险因素(所有 PConclusion:年龄、糖尿病、疾病严重程度、白蛋白水平和中性粒细胞计数是再生障碍性贫血患者接受免疫抑制治疗后发生血流感染的关键影响因素。这些发现强调了在免疫抑制治疗期间仔细监测这些因素以降低血流感染风险的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors influencing bloodstream infections after immunosuppressive therapy in patients with aplastic anemia: a logistic regression analysis.

Objective: To analyze the risk factors for bloodstream infection after immunosuppressive therapy in patients with aplastic anemia using logistic regression.

Methods: A retrospective analysis was conducted on the clinical data from 70 patients with aplastic anemia admitted to the People's Hospital of Zitong County and the Infectious Disease Hospital in Jiangyou City from March 2011 to March 2023. Patients were divided into two groups based on whether they developed an infection after treatment: the infection group (n = 18) and the non-infection group (n = 52). Risk factors for bloodstream infection following immunosuppressive therapy were analyzed, and the predictive value of independent risk factors was assessed.

Results: Univariate analysis identified age, diabetes, disease severity, albumin levels, neutrophil count, and concurrent infections before treatment as significant risk factors for bloodstream infection following immunosuppressive therapy (all P<0.05). Multivariate analysis further confirmed that age, diabetes, disease severity, albumin levels, and neutrophil count were independent risk factors for bloodstream infection (all P<0.05). ROC curve analysis revealed that age, diabetes, disease severity, albumin levels, and neutrophil count had area under the curve (AUC) values of 0.678, 0.728, 0.698, 0.740, and 0.739, respectively, in predicting bloodstream infection after immunosuppressive therapy. The sensitivity values were 65.39%, 78.85%, 67.31%, 67.31%, and 76.92%, respectively, while the specificity values were 72.22%, 66.67%, 72.22%, 77.78%, and 61.11%, respectively.

Conclusion: Age, diabetes, disease severity, albumin levels, and neutrophil count are key factors influencing bloodstream infection after immunosuppressive therapy in patients with aplastic anemia. These findings highlight the need for careful monitoring of these factors during immunosuppressive therapy to reduce the risk of bloodstream infection.

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American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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