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一种用于异基因造血干细胞移植患者移植前定植的临床预测模型及其与临床结局的相关性。

A clinical predictive model for pre-transplantation colonization and relevance for clinical outcomes in patients receiving allogeneic hematopoietic stem cell transplantation.

机构信息

Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, Jiangsu, China.

出版信息

Microbiol Spectr. 2024 Feb 6;12(2):e0203923. doi: 10.1128/spectrum.02039-23. Epub 2024 Jan 8.

DOI:10.1128/spectrum.02039-23
PMID:38189331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10846164/
Abstract

The purpose of this study is to establish a clinical prediction model to discriminate patients at high risk of (KP) colonization before allogeneic hematopoietic stem cell transplantation (allo-HSCT) and evaluate the impact of KP colonization on clinical outcomes after allo-HSCT. We retrospectively collected data from 2,157 consecutive patients receiving allo-HSCT between January 2018 and March 2022. KP colonization was defined as a positive test for KP from a pharyngeal or anal swab before allo-HSCT. Logistic regression was used to build a clinical prediction model. Cox regression analyses were performed to explore the effect of KP colonization on clinical outcomes. Among all the inpatients, 166 patients had KP colonization and 581 with no positive pathogenic finding before transplantation. Seven candidate predictors were entered into the final prediction model. The prediction model had an area under the curve of 0.775 (95% CI 0.723-0.828) in the derivation cohort and 0.846 (95% CI: 0.790-0.902) in the validation cohort. Statistically significantly different incidence rates were observed among patient groups with clinically predicted low, medium, and high risk for KP infection ( < 0.001). The presence of KP colonization delayed platelet engraftment ( < 0.001) and patients with KP colonization were more likely to develop KP bloodstream infections within 100 days after allo-HSCT ( < 0.0001). Patients with KP colonization had higher non-relapse mortality ( = 0.032), worse progression-free survival ( = 0.0027), and worse overall survival within 100 days after allo-HSCT ( = 0.013). Our findings suggest that increased awareness of risks associated with pre-transplantation bacterial colonization is warranted.IMPORTANCESeveral studies have identified that (KP) is among the most common and deadly pathogens for patients in hospital intensive care units and those receiving transplantation. However, there are currently no studies that evaluate the impact of KP colonization to patients undergoing allogeneic hematopoietic stem cell transplantation. Our results confirm that pre-existing KP colonization is relatively common in a hematology transplant ward setting and negatively affects post-transplantation prognosis. Our clinical prediction model for KP colonization can support early intervention in patients at high risk to avoid subsequent bloodstream infections and improve survival outcomes. Altogether, our data suggest that increased awareness of risks associated with pre-transplantation bacterial colonization is warranted. Future studies are needed to confirm these findings and to test early intervention strategies for patients at risk of complications from KP infection.

摘要

这项研究的目的是建立一个临床预测模型,以区分异基因造血干细胞移植(allo-HSCT)前高危患者的 (KP)定植,并评估 KP 定植对 allo-HSCT 后临床结局的影响。我们回顾性收集了 2018 年 1 月至 2022 年 3 月期间接受 allo-HSCT 的 2157 例连续患者的数据。KP 定植定义为 allo-HSCT 前咽或肛拭子检测到 KP 阳性。使用逻辑回归建立临床预测模型。Cox 回归分析用于探讨 KP 定植对临床结局的影响。在所有住院患者中,有 166 例患者定植 KP,581 例患者移植前无阳性病原体发现。最终预测模型纳入了 7 个候选预测因素。该预测模型在推导队列中的曲线下面积为 0.775(95%CI 0.723-0.828),在验证队列中的曲线下面积为 0.846(95%CI:0.790-0.902)。在预测 KP 感染低、中、高危的患者组中,观察到发生率有统计学显著差异(<0.001)。KP 定植延迟血小板植入(<0.001),allo-HSCT 后 100 天内 KP 血流感染的患者更可能发生(<0.0001)。KP 定植的患者非复发死亡率更高(=0.032),无进展生存率更差(=0.0027),allo-HSCT 后 100 天内总生存率更差(=0.013)。我们的研究结果表明,有必要提高对定植相关风险的认识。
重要性:已有几项研究表明,KP 是医院重症监护病房和接受移植的患者中最常见和最致命的病原体之一。然而,目前尚无研究评估 KP 定植对接受异基因造血干细胞移植的患者的影响。我们的结果证实,在血液学移植病房环境中,预先存在的 KP 定植相对常见,并且对移植后预后产生负面影响。我们的 KP 定植临床预测模型可以支持高危患者的早期干预,以避免随后的血流感染并改善生存结果。总之,我们的数据表明,有必要提高对定植相关风险的认识。需要进一步的研究来证实这些发现,并测试高危患者的早期干预策略,以预防 KP 感染的并发症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/20600c35a8b0/spectrum.02039-23.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/739e712f41d9/spectrum.02039-23.f001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/20600c35a8b0/spectrum.02039-23.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/739e712f41d9/spectrum.02039-23.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/4d773a19feb0/spectrum.02039-23.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/b71e6d2d6429/spectrum.02039-23.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/10846164/20600c35a8b0/spectrum.02039-23.f004.jpg

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