Taehwa Kim, Eunjeong Son, Min Wook So, Doosoo Jeon, Hye Ju Yeo, Seung Eun Lee, Yun Seong Kim
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Data from 90 patients in the D1 QFM group were analyzed, which was further divided into the non-healthcare-associated infection (non-HCAI, n = 41, 45.6%) and HCAI (n = 49, 54.4%) groups.</p><p><strong>Results: </strong>The D1 and D2 QFM levels were both significantly higher in the non-HCAI group than in the HCAI group (D1 hCAI vs non-HCAI: 4.40 vs 5.75 IU/mL, D2 hCAI vs non-HCAI: 4.38 vs 6.10 IU/mL). Analysis of the change in D1 and D2 QFM levels by each group showed that D2 QFM levels increased over D1 QFM levels in the non-HCAI group (5.75 vs 6.10 IU/mL), while D2 QFM levels decreased over D1 QFM levels in the HCAI group (4.40 vs 4.38 IU/mL). D1 QFM was consistently negatively correlated with TNF-α and CRP. The integrated analysis of D1 QFM and CCI and D1 QFM and CURB-65 had fair to predict the occurrence of HCAI.</p><p><strong>Conclusion: </strong>QFM can be used to predict the immune-status of patients in the context of healthcare-associated infections. These findings provide important insights into the current understanding of pneumonia treatment and recovery.</p>","PeriodicalId":13577,"journal":{"name":"Infection and Drug Resistance","volume":"18 ","pages":"1381-1391"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911649/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON<sup>®</sup>-Monitoring.\",\"authors\":\"Taehwa Kim, Eunjeong Son, Min Wook So, Doosoo Jeon, Hye Ju Yeo, Seung Eun Lee, Yun Seong Kim\",\"doi\":\"10.2147/IDR.S499765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>A functional immune system is essential for recovery from pneumonia; hence, measuring and monitoring immune-status indicators is clinically important. 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Analysis of the change in D1 and D2 QFM levels by each group showed that D2 QFM levels increased over D1 QFM levels in the non-HCAI group (5.75 vs 6.10 IU/mL), while D2 QFM levels decreased over D1 QFM levels in the HCAI group (4.40 vs 4.38 IU/mL). D1 QFM was consistently negatively correlated with TNF-α and CRP. The integrated analysis of D1 QFM and CCI and D1 QFM and CURB-65 had fair to predict the occurrence of HCAI.</p><p><strong>Conclusion: </strong>QFM can be used to predict the immune-status of patients in the context of healthcare-associated infections. 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引用次数: 0
摘要
目的:功能性免疫系统对肺炎的康复至关重要;因此,测量和监测免疫状态指标在临床上具有重要意义。本研究旨在探讨QuantiFERON监测(QMF)能否根据肺炎患者的免疫状态预测卫生保健相关感染(HCAI)。方法:前瞻性、观察性、单中心研究,纳入2020年10月至2021年11月期间因肺炎住院≥19年的患者。QFM分别在入院时(D1)和入院后7天(D2)进行。分析90例D1 QFM组患者的数据,将其进一步分为非医疗保健相关感染(non-HCAI, n = 41, 45.6%)和HCAI (n = 49, 54.4%)组。结果:非HCAI组D1、D2 QFM水平均显著高于HCAI组(D1 HCAI vs非HCAI: 4.40 vs 5.75 IU/mL, D2 HCAI vs非HCAI: 4.38 vs 6.10 IU/mL)。各组D1和D2 QFM水平变化分析显示,非HCAI组D2 QFM水平高于D1 QFM水平(5.75 vs 6.10 IU/mL),而HCAI组D2 QFM水平低于D1 QFM水平(4.40 vs 4.38 IU/mL)。D1 QFM与TNF-α、CRP呈持续负相关。D1 QFM与CCI、D1 QFM与CURB-65的综合分析能较好地预测HCAI的发生。结论:QFM可用于预测卫生保健相关感染患者的免疫状态。这些发现为目前对肺炎治疗和康复的理解提供了重要的见解。
Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON®-Monitoring.
Objective: A functional immune system is essential for recovery from pneumonia; hence, measuring and monitoring immune-status indicators is clinically important. This study aimed to determine whether QuantiFERON monitoring (QMF) could predict healthcare-associated infection (HCAI) according to the immune-status of patients with pneumonia.
Methods: Prospective, observational, single-center study, patients ≥19 years hospitalized for pneumonia between October 2020 and November 2021. QFM was performed at hospital admission (D1) and seven days after (D2). Data from 90 patients in the D1 QFM group were analyzed, which was further divided into the non-healthcare-associated infection (non-HCAI, n = 41, 45.6%) and HCAI (n = 49, 54.4%) groups.
Results: The D1 and D2 QFM levels were both significantly higher in the non-HCAI group than in the HCAI group (D1 hCAI vs non-HCAI: 4.40 vs 5.75 IU/mL, D2 hCAI vs non-HCAI: 4.38 vs 6.10 IU/mL). Analysis of the change in D1 and D2 QFM levels by each group showed that D2 QFM levels increased over D1 QFM levels in the non-HCAI group (5.75 vs 6.10 IU/mL), while D2 QFM levels decreased over D1 QFM levels in the HCAI group (4.40 vs 4.38 IU/mL). D1 QFM was consistently negatively correlated with TNF-α and CRP. The integrated analysis of D1 QFM and CCI and D1 QFM and CURB-65 had fair to predict the occurrence of HCAI.
Conclusion: QFM can be used to predict the immune-status of patients in the context of healthcare-associated infections. These findings provide important insights into the current understanding of pneumonia treatment and recovery.
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ISSN: 1178-6973
Editor-in-Chief: Professor Suresh Antony
An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.