Monocyte human leukocyte antigen-DR but not β-d-glucan may help early diagnosing invasive Candida infection in critically ill patients

Autor: Boris Jung, Clément Le Bihan, Pierre Portales, Nathalie Bourgeois, Thierry Vincent, Laurence Lachaud, Gerald Chanques, Matthieu Conseil, Philippe Corne, Pablo Massanet, Jean François Timsit, Samir Jaber
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Annals of Intensive Care, Vol 11, Iss 1, Pp 1-11 (2021)
Druh dokumentu: article
ISSN: 2110-5820
DOI: 10.1186/s13613-021-00918-1
Popis: Abstract Background Precision medicine risk stratification is desperately needed to both avoid systemic antifungals treatment delay and over prescription in the critically ill with risk factors. The aim of the present study was to explore the combination of host immunoparalysis biomarker (monocyte human leukocyte antigen-DR expression (mHLA-DR)) and Candida sp wall biomarker β-d-glucan in risk stratifying patients for secondary invasive Candida infection (IC). Methods Prospective observational study. Two intensive care units (ICU). All consecutive non-immunocompromised septic shock patients. Serial blood samples (n = 286) were collected at day 0, 2 and 7 and mHLA-DR and β-d-glucan were then retrospectively assayed after discharge. Secondary invasive Candida sp infection occurrence was then followed at clinicians’ discretion. Results Fifty patients were included, 42 (84%) had a Candida score equal or greater than 3 and 10 patients developed a secondary invasive Candida sp infection. ICU admission mHLA-DR expression and β-d-glucan (BDG) failed to predict secondary invasive Candida sp infection. Time-dependent cause-specific hazard ratio of IC was 6.56 [1.24–34.61] for mHLA-DR 350 pg/mL. Predictive negative value of mHLA-DR > 5000 Ab/c and BDG > 350 pg/mL combination at day 7 was 81% [95% CI 70–92]. Conclusions This study suggests that mHLA-DR may help predicting IC in high-risk patients with septic shock. The added value of BDG and other fungal tests should be regarded according to the host immune function markers.
Databáze: Directory of Open Access Journals
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