Pathophysiological responses to bloodstream infection in critically ill transplant recipients compared to non-transplant recipients.

bloodstream infection critical care inflammation sepsis transplant

Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
27 Oct 2023
Historique:
received: 26 07 2023
revised: 12 10 2023
accepted: 25 10 2023
medline: 27 10 2023
pubmed: 27 10 2023
entrez: 27 10 2023
Statut: aheadofprint

Résumé

Identification of bloodstream infection (BSI) in transplant recipients may be difficult due to immunosuppression. Accordingly, we aimed to compare responses to BSI in critically ill transplant and non-transplant recipients and to modify systemic inflammatory response syndrome (SIRS) criteria for transplant recipients. We analyzed univariate risks and developed multivariable models of BSI with 27 clinical variables from adult intensive care unit (ICU) patients at the University of Virginia (UVA) and at the University of Pittsburgh (Pitt). We used Bayesian inference to adjust SIRS criteria for transplant recipients. We analyzed 38.7 million hourly measurements from 41,725 patients at UVA, including 1,897 transplant recipients with 193 episodes of BSI, and 53,608 patients at Pitt, including 1,614 transplant recipients with 768 episodes of BSI. The univariate responses to BSI were comparable in transplant and non-transplant recipients. The area under the receiver operating characteristic curve (AUC) was 0.82 (95% confidence interval [CI], 0.80-0.83) for the model using all UVA patient data and 0.80 (95% CI, 0.76-0.83) when using only transplant recipient data. The UVA all-patient model had an AUC of 0.77 (95%CI, 0.76-0.79) in non-transplant recipients and 0.75 (95% CI, 0.71-0.79) in transplant recipients at Pitt. The relative importance of the 27 predictors was similar in transplant and non-transplant models. An upper temperature of 37.5°C in SIRS criteria improved reclassification performance in transplant recipients. Critically ill transplant and non-transplant recipients had similar responses to BSI. An upper temperature of 37.5°C in SIRS criteria improved BSI screening in transplant recipients.

Sections du résumé

BACKGROUND BACKGROUND
Identification of bloodstream infection (BSI) in transplant recipients may be difficult due to immunosuppression. Accordingly, we aimed to compare responses to BSI in critically ill transplant and non-transplant recipients and to modify systemic inflammatory response syndrome (SIRS) criteria for transplant recipients.
METHODS METHODS
We analyzed univariate risks and developed multivariable models of BSI with 27 clinical variables from adult intensive care unit (ICU) patients at the University of Virginia (UVA) and at the University of Pittsburgh (Pitt). We used Bayesian inference to adjust SIRS criteria for transplant recipients.
RESULTS RESULTS
We analyzed 38.7 million hourly measurements from 41,725 patients at UVA, including 1,897 transplant recipients with 193 episodes of BSI, and 53,608 patients at Pitt, including 1,614 transplant recipients with 768 episodes of BSI. The univariate responses to BSI were comparable in transplant and non-transplant recipients. The area under the receiver operating characteristic curve (AUC) was 0.82 (95% confidence interval [CI], 0.80-0.83) for the model using all UVA patient data and 0.80 (95% CI, 0.76-0.83) when using only transplant recipient data. The UVA all-patient model had an AUC of 0.77 (95%CI, 0.76-0.79) in non-transplant recipients and 0.75 (95% CI, 0.71-0.79) in transplant recipients at Pitt. The relative importance of the 27 predictors was similar in transplant and non-transplant models. An upper temperature of 37.5°C in SIRS criteria improved reclassification performance in transplant recipients.
CONCLUSION CONCLUSIONS
Critically ill transplant and non-transplant recipients had similar responses to BSI. An upper temperature of 37.5°C in SIRS criteria improved BSI screening in transplant recipients.

Identifiants

pubmed: 37889515
pii: 7331104
doi: 10.1093/cid/ciad662
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Jiaxing Qiu (J)

Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, VA, USA.

Alex N Zimmet (AN)

Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Taison D Bell (TD)

Department of Medicine, Division of Pulmonary and Critical Care Medicine and Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, VA, USA.

Shrirang Gadrey (S)

Department of Medicine, Division of Hospital Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA.

Jackson Brandberg (J)

Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, VA, USA.

Samuel Maldonado (S)

Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Harvard University School of Medicine, Boston, MA, USA.

Amanda M Zimmet (AM)

Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, VA, USA.

Sarah Ratcliffe (S)

Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.

Pavel Chernyavskiy (P)

Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.

J Randall Moorman (JR)

Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, VA, USA.

Gilles Clermont (G)

Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Teague R Henry (TR)

Department of Psychology and School of Data Science, University of Virginia, Charlottesville, VA, USA.

N Rich Nguyen (NR)

Department of Computer Science, University of Virginia School of Engineering, Charlottesville, VA, USA.

Christopher C Moore (CC)

Department of Medicine, Division of Infectious Diseases and International Health, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, VA, USA.

Classifications MeSH