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HIV 相关性足放线菌病的真实世界患者队列的预后和治疗效果。

Prognosis and treatment effects of HIV-associated talaromycosis in a real-world patient cohort.

机构信息

Department of Statistical Science, Duke University, Durham, NC 27708, USA.

Department of Infectious Diseases, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.

出版信息

Med Mycol. 2021 Apr 6;59(4):392-399. doi: 10.1093/mmy/myab005.

Abstract

Talaromycosis is a leading cause of AIDS-associated opportunistic infections and death in Southeast Asia. We have recently shown in the Itraconazole versus Amphotericin for Talaromycosis (IVAP) trial that induction therapy with amphotericin B reduced mortality over 24 weeks, but not during the first 2 weeks. Antifungal treatment effects in real-world settings have not been rigorously evaluated. Using data obtained from patient records at the Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam from 2004 to 2009, we first developed a prognostic model using Bayesian logistic regression to identify predictors of death. Second, we developed a causal model using propensity score matching to assess the treatment effects of amphotericin B and itraconazole. Our prognostic model identified intravenous drug use (odds ratio [OR] = 2.01), higher respiratory rate (OR = 1.12), higher absolute lymphocyte count (OR = 1.62), a concurrent respiratory infection (OR = 1.67) or central nervous system infection (OR = 2.66) as independent predictors of death. Fever (OR = 0.56) was a protective factor. Our prognostic model exhibits good in-sample performance and out-of-sample validation, with a discrimination power of 0.85 and 0.91, respectively. Our causal model showed no significant difference in treatment outcomes between amphotericin B and itraconazole over the first 2 weeks (95% credible interval: 0.62, 2.50). Our prognostic model provides a simple tool based on routinely collected clinical data to predict individual patient outcome. Our causal model shows similar results to the IVAP trial at 2 weeks, demonstrating an agreement between real-world data and clinical trial data.

摘要

马尔尼菲青霉病是东南亚艾滋病相关机会性感染和死亡的主要原因。我们最近在伊曲康唑与两性霉素 B 治疗马尔尼菲青霉病(IVAP)试验中表明,两性霉素 B 诱导治疗可降低 24 周内的死亡率,但在最初的 2 周内没有效果。目前尚未严格评估真实环境下的抗真菌治疗效果。本研究利用 2004 年至 2009 年越南胡志明市热带病医院的患者病历数据,首先使用贝叶斯逻辑回归建立了一个预后模型,以确定死亡的预测因素。其次,我们使用倾向评分匹配建立了一个因果模型,以评估两性霉素 B 和伊曲康唑的治疗效果。我们的预后模型确定了静脉内药物使用(比值比 [OR] = 2.01)、更高的呼吸频率(OR = 1.12)、更高的绝对淋巴细胞计数(OR = 1.62)、同时发生的呼吸道感染(OR = 1.67)或中枢神经系统感染(OR = 2.66)是死亡的独立预测因素。发热(OR = 0.56)是一个保护因素。我们的预后模型在样本内和样本外验证中均表现出良好的性能,分别具有 0.85 和 0.91 的区分能力。我们的因果模型显示,两性霉素 B 和伊曲康唑在最初的 2 周内治疗结果没有显著差异(95%可信区间:0.62,2.50)。我们的预后模型提供了一种基于常规收集的临床数据的简单工具,用于预测个体患者的预后。我们的因果模型在 2 周时与 IVAP 试验结果相似,表明真实世界数据和临床试验数据之间存在一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2745/8023982/d2ceb7c95abb/myab005fig1.jpg

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