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Research
Yu J Wu
Sichuan Academy of Medical Sciences and Sichuan People's Hospital
Corresponding Author
License:
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Background
The association between allogeneic blood transfusion (ABT) and healthcare-associated infection (HAI) is considered dose-dependent. However, this association may be confounded by transfusion duration, as prolonged hospitalization stay increases the risk of HAI. Also, it is not clear whether specific blood products have different dose-response risks.
Methods
In this retrospective cohort study, a logistic regression was used to identify confounding factors, and the association between specific blood products and HAI were analyzed. Then Cox regression and restricted cubic spline regression was used to visualize the hazard of HAI per transfusion product.
Results
Of 215338 inpatients observed, 4.16% were transfused with a single component blood product. With regard to these transfused patients, 480 patients (5.36 %) developed a HAI during their hospitalization stay. Logistic regression showed that red blood cells (RBCs) transfusion, platelets transfusion and fresh-frozen plasmas (FFPs) transfusion were risk factors for HAI [odds ratio (OR) 1.893, 95% confidence interval (CI) 1.656–2.163; OR 8.903, 95% CI 6.646–11.926 and OR 1.494, 95% CI 1.146–1.949, respectively]. However, restricted cubic spline regression analysis showed that there was no statistically dose-response relationship between different transfusion products and the onset of HAI.
Conclusions
RBCs transfusion, platelets transfusion and FFPs transfusion were associated with HAI, but there was no dose-response relationship between them.
Keywords
Healthcare-associated infection, Allogeneic blood transfusion, Restricted cubic spline regression
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at Antimicrobial Resistance & Infection Control.
No community comments so far
Editorial decision: Accept
On 06 Mar, 2021
Review #1 received
Received 22 Feb, 2021
Reviewer #1 agreed
On 06 Feb, 2021
Reviewers invited
Invitations sent on 29 Jan, 2021
Editor assigned
On 10 Jan, 2021
Submission checks complete
On 10 Jan, 2021
Editor invited
On 10 Jan, 2021
Version 2
Posted 03 Nov, 2020
No comments provided
Review #1 received
Received 23 Dec, 2020
Editorial decision: Minor revision
On 23 Dec, 2020
Reviewer #1 agreed
On 07 Dec, 2020
Reviewers invited
Invitations sent on 06 Nov, 2020
Editor assigned
On 27 Oct, 2020
Submission checks complete
On 26 Oct, 2020
Editor invited
On 26 Oct, 2020
No comments provided
Editorial decision: Minor revision
On 22 Sep, 2020
Review #1 received
Received 16 Sep, 2020
Reviewer #1 agreed
On 02 Sep, 2020
Reviewers invited
Invitations sent on 03 Dec, 2019
Editor assigned
On 15 Nov, 2019
Editor invited
On 14 Nov, 2019
Submission checks complete
On 14 Nov, 2019
First submitted
On 13 Nov, 2019
Metrics
Comments: 0
PDF Downloads: ...
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at Antimicrobial Resistance & Infection Control.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Yu J Wu
Sichuan Academy of Medical Sciences and Sichuan People's Hospital
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Antimicrobial Resistance & Infection Control.
No community comments so far
Editorial decision: Accept
On 06 Mar, 2021
Review #1 received
Received 22 Feb, 2021
Reviewer #1 agreed
On 06 Feb, 2021
Reviewers invited
Invitations sent on 29 Jan, 2021
Editor assigned
On 10 Jan, 2021
Submission checks complete
On 10 Jan, 2021
Editor invited
On 10 Jan, 2021
Version 2
Posted 03 Nov, 2020
No comments provided
Review #1 received
Received 23 Dec, 2020
Editorial decision: Minor revision
On 23 Dec, 2020
Reviewer #1 agreed
On 07 Dec, 2020
Reviewers invited
Invitations sent on 06 Nov, 2020
Editor assigned
On 27 Oct, 2020
Submission checks complete
On 26 Oct, 2020
Editor invited
On 26 Oct, 2020
No comments provided
Editorial decision: Minor revision
On 22 Sep, 2020
Review #1 received
Received 16 Sep, 2020
Reviewer #1 agreed
On 02 Sep, 2020
Reviewers invited
Invitations sent on 03 Dec, 2019
Editor assigned
On 15 Nov, 2019
Editor invited
On 14 Nov, 2019
Submission checks complete
On 14 Nov, 2019
First submitted
On 13 Nov, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Antimicrobial Resistance & Infection Control.
Background
The association between allogeneic blood transfusion (ABT) and healthcare-associated infection (HAI) is considered dose-dependent. However, this association may be confounded by transfusion duration, as prolonged hospitalization stay increases the risk of HAI. Also, it is not clear whether specific blood products have different dose-response risks.
Methods
In this retrospective cohort study, a logistic regression was used to identify confounding factors, and the association between specific blood products and HAI were analyzed. Then Cox regression and restricted cubic spline regression was used to visualize the hazard of HAI per transfusion product.
Results
Of 215338 inpatients observed, 4.16% were transfused with a single component blood product. With regard to these transfused patients, 480 patients (5.36 %) developed a HAI during their hospitalization stay. Logistic regression showed that red blood cells (RBCs) transfusion, platelets transfusion and fresh-frozen plasmas (FFPs) transfusion were risk factors for HAI [odds ratio (OR) 1.893, 95% confidence interval (CI) 1.656–2.163; OR 8.903, 95% CI 6.646–11.926 and OR 1.494, 95% CI 1.146–1.949, respectively]. However, restricted cubic spline regression analysis showed that there was no statistically dose-response relationship between different transfusion products and the onset of HAI.
Conclusions
RBCs transfusion, platelets transfusion and FFPs transfusion were associated with HAI, but there was no dose-response relationship between them.
Figure 1
Figure 2
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