Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON®- Monitoring

被引:0
作者
Kim, Taehwa [1 ,2 ,3 ]
Son, Eunjeong [1 ,3 ]
So, Min Wook [3 ,4 ]
Jeon, Doosoo [1 ,3 ]
Yeo, Hye Ju [1 ,3 ]
Lee, Seung Eun [1 ,3 ]
Kim, Yun Seong [1 ,3 ]
机构
[1] Pusan Natl Univ, Res Inst Convergence Biomed Sci & Technol, Dept Internal Med, Div Pulmonol Allergy & Crit Care Med,Yangsan Hosp, Geumo Ro 20, Yangsan Si 50612, Gyeongsangnam D, South Korea
[2] Pusan Natl Univ, Yangsan Hosp, Res Inst Convergence Biomed Sci & Technol, Dept Pulmonol & Crit Care Med,Dept Internal Med, Busan, South Korea
[3] Pusan Natl Univ, Sch Med, Dept Internal Med, Busan, South Korea
[4] Pusan Natl Univ, Dept Internal Med, Div Rheumatol, Yangsan Hosp, Busan, South Korea
来源
INFECTION AND DRUG RESISTANCE | 2025年 / 18卷
关键词
QuantiFERON monitoring; pneumonia; immune status; prospective study; biomarker; SEPSIS; RISK;
D O I
10.2147/IDR.S499765
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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 healthcareassociated 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 nonHCAI: 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-alpha 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.
引用
收藏
页码:1381 / 1391
页数:11
相关论文
共 23 条
  • [1] Kollef MH, Torres A, Shorr AF, Martin-Loeches I, Micek ST., Nosocomial Infection, Crit Care Med, 49, 2, pp. 169-187, (2021)
  • [2] Olaechea PM, Ulibarrena MA, Alvarez-Lerma F, Insausti J, Palomar M, De la Cal MA., Factors related to hospital stay among patients with nosocomial infection acquired in the intensive care unit, Infect Control Hosp Epidemiol, 24, 3, pp. 207-213, (2003)
  • [3] Iacovelli V, Gaziev G, Topazio L, Bove P, Vespasiani G, Finazzi Agro E., Nosocomial urinary tract infections: a review, Urologia, 81, 4, pp. 222-227, (2014)
  • [4] Wang J, Wang L, Jia M, Du Z, Hou X., Extracorporeal membrane oxygenation-related nosocomial infection after cardiac surgery in adult patients, Braz J Cardiovasc Surg, 36, 6, pp. 743-751, (2021)
  • [5] Bardi T, Pintado V, Gomez-Rojo M, Et al., Nosocomial infections associated to COVID-19 in the intensive care unit: clinical characteristics and outcome, Eur J Clin Microbiol Infect Dis, 40, 3, pp. 495-502, (2021)
  • [6] Lin JL, Liu KK, Chu JH, Et al., Relationship between nutritional status and nosocomial infection in children with acute lymphoblastic leukemia, Zhongguo Shi Yan Xue Ye Xue Za Zhi, 28, 3, pp. 767-774, (2020)
  • [7] Beard JR, Officer AM, Cassels AK., The World Report on Ageing and Health, Gerontologist, 56, pp. S163-S166, (2016)
  • [8] Baek MS, Chung CR, Kim HJ, Et al., Age is major factor for predicting survival in patients with acute respiratory failure on extracorporeal membrane oxygenation: a Korean multicenter study, J Thorac Dis, 10, 3, pp. 1406-1417, (2018)
  • [9] Rudd KE, Johnson SC, Agesa KM, Et al., Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study, Lancet, 395, 10219, pp. 200-211, (2020)
  • [10] MacIntyre CR, Chughtai AA, Barnes M, Et al., The role of pneumonia and secondary bacterial infection in fatal and serious outcomes of pandemic influenza a(H1N1)pdm09, BMC Infect Dis, 18, 1, (2018)