Pathophysiological Responses to Bloodstream Infection in Critically Ill Transplant Recipients Compared With Non-Transplant Recipients

Author:

Qiu Jiaxing1,Zimmet Alex N2,Bell Taison D3,Gadrey Shrirang4,Brandberg Jackson1,Maldonado Samuel5,Zimmet Amanda M1,Ratcliffe Sarah6,Chernyavskiy Pavel6,Moorman J Randall1,Clermont Gilles7,Henry Teague R8,Nguyen N Rich9,Moore Christopher C10ORCID

Affiliation:

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

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

3. 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, Virginia , USA

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

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

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

7. Department of Critical Care Medicine, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania , USA

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

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

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

Abstract

Abstract 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 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 We analyzed 38.7 million hourly measurements from 41 725 patients at UVA, including 1897 transplant recipients with 193 episodes of BSI and 53 608 patients at Pitt, including 1614 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], .80–.83) for the model using all UVA patient data and 0.80 (95% CI, .76–.83) when using only transplant recipient data. The UVA all-patient model had an AUC of 0.77 (95% CI, .76–.79) in non-transplant recipients and 0.75 (95% CI, .71–.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. 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.

Funder

Global Infectious Diseases Institute

Center for Engineering in Medicine at the University of Virginia

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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