There is no Dose-response Relationship between Allogeneic Blood Transfusion and Healthcare-associated Infection: A Retrospective Cohort Study

Abstract BackgroundThe 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.MethodsIn 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.ResultsOf 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.ConclusionsRBCs transfusion, platelets transfusion and FFPs transfusion were associated with HAI, but there was no dose-response relationship between them.

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There is no Dose-response Relationship between Allogeneic Blood Transfusion and Healthcare-associated Infection: A Retrospective Cohort Study

10.21203/rs.2.17342/v1 ◽

2019 ◽

Author(s):

Yu Lv ◽

Ying Fang ◽

Qian Xiang ◽

Jia Lin ◽

Yu J Wu ◽

...

Keyword(s):

Logistic Regression ◽

Cohort Study ◽

Dose Response ◽

Retrospective Cohort ◽

Response Relationship ◽

Spline Regression ◽

Blood Products ◽

Healthcare Associated Infection ◽

Dose Response Relationship ◽

Healthcare Associated

Abstract 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.

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There is no Dose-response Relationship between Allogeneic Blood Transfusion and Healthcare-associated Infection: A Retrospective Cohort Study

10.21203/rs.2.17342/v3 ◽

2021 ◽

Author(s):

Yu Lv ◽

Qian Xiang ◽

Jia Lin ◽

Ying Zong Jin ◽

Ying Fang ◽

...

Keyword(s):

Logistic Regression ◽

Cohort Study ◽

Dose Response ◽

Retrospective Cohort ◽

Response Relationship ◽

Spline Regression ◽

Blood Products ◽

Healthcare Associated Infection ◽

Dose Response Relationship ◽

Healthcare Associated

Abstract 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.

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There is no dose–response relationship between allogeneic blood transfusion and healthcare-associated infection: a retrospective cohort study

Antimicrobial Resistance and Infection Control ◽

10.1186/s13756-021-00928-5 ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Yu Lv ◽

Qian Xiang ◽

Jia Lin ◽

Ying Z. Jin ◽

Ying Fang ◽

...

Keyword(s):

Logistic Regression ◽

Cohort Study ◽

Dose Response ◽

Retrospective Cohort ◽

Response Relationship ◽

Spline Regression ◽

Blood Products ◽

Healthcare Associated Infection ◽

Dose Response Relationship ◽

Healthcare Associated

Abstract Background The association between allogeneic blood transfusion 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 215,338 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.

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Incidence of Secondary Microorganism Infections Following Utilization of Tocilizumab for the Treatment of COVID‑19 - A Matched Retrospective Cohort Study

10.54137/ijiid1782 ◽

2021 ◽

Vol 1 (1) ◽

Author(s):

Joanna L. Moore ◽

Stephanie J. Stroever ◽

Patricia E. Rondain ◽

Robyn N. Scatena

Keyword(s):

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Secondary Infection ◽

World Health ◽

Quantitative Relation ◽

Secondary Outcome ◽

Healthcare Associated Infection ◽

Kaplan Meier ◽

Healthcare Associated

Introduction: immunological disorder agent’s area unit theorized to focus on the protein storm syndrome in COVID‑19. However, the downstream effects concerning susceptibilities to secondary infection risk stay unknown. This study seeks to work out risk variations for secondary infections among COVID‑19 patients World Health Organization did and failed to receive tocilizumab. Methods: we have a tendency to conducted a matched retrospective cohort study from 2 giants, acute care hospitals in Western Connecticut from March 1 to May 31, 2020. we have a tendency to collected variables exploitation manual case history abstraction. the first exposure variable was any dose of tocilizumab. the first outcome was any healthcare‑associated microorganism or mycosis as outlined by the National Care Safety Network. we have a tendency to performed a Kaplan–Meier analysis to assess the crude distinction within the additive likelihood of healthcare‑associated infection (HAI) across exposure teams. we have a tendency to conjointly performed a multivariable Cox multivariate analysis to work out the hazard quantitative relation for HAI by exposure group whereas dominant for potential confounders. Results: The Kaplan–Meier analysis incontestable no distinction within the additive likelihood of HAI across teams. The adjusted hazard of HAI for patients given tocilizumab was zero.85 times that of patients not given tocilizumab (95% confidence interval = zero.29, 2.52, P = 0.780) once dominant for relevant confounders. Conclusions: Tocilizumab failed to increase the incidence of secondary infection among COVID‑19 patients. Larger, irregular trials ought to valuate infection as a secondary outcome to validate this finding.

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