See the published version of this preprint at BMC Nephrology.
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Objective:
Delayed graft function (DGF) is closely associated with the use of marginal donated kidneys due to deficits during transplantation and in recipients. We aimed to predict the incidence of DGF and evaluate its effect on graft survival.
Methods:
This retrospective study on kidney transplantation was conducted from January 1, 2018, to May 31, 2019, in the Second Xiangya Hospital of Central South University. We classified recipients into training and validation cohorts and used data from the training cohort to analyze the predictors of DGF. A nomogram was then constructed to predict the likelihood of DGF based on these predictors.
Results:
The incidence rate of DGF is 24.73%. Binary logistic regression analysis showed correlations between the incidence of DGF and cold ischemic time (CIT), warm ischemic time (WIT), donor body mass index (BMI), duration of pretransplant dialysis, diabetic donor, primary cause of donor death, and terminal serum creatinine concentration. The internal accuracy of the nomogram was 85.78%. One-year graft survival rates were 100% and 94.74%, respectively, for the groups with and without DGF (P<0.05).
Conclusion:
The nomogram established in this study showed good accuracy in predicting DGF after deceased donor kidney transplantation; additionally, DGF decreased one-year graft survival.
Keywords
Delayed graft function, predictors, nomogram, deceased donation, graft survival
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Nephrology.
No community comments so far
Editorial decision: Accept
On 21 Nov, 2020
Editor assigned
On 12 Nov, 2020
Reviewers invited
Invitations sent on 12 Nov, 2020
Reviewer #1 agreed
On 12 Nov, 2020
Review #1 received
Received 12 Nov, 2020
Submission checks complete
On 12 Nov, 2020
Editor invited
On 12 Nov, 2020
Version 1
Posted 24 Aug, 2020
No comments provided
Editorial decision: Major revision
On 17 Sep, 2020
Review #2 received
Received 14 Sep, 2020
Review #1 received
Received 08 Sep, 2020
Reviewer #2 agreed
On 28 Aug, 2020
Reviewer #1 agreed
On 28 Aug, 2020
Submission checks complete
On 21 Aug, 2020
Editor invited
On 21 Aug, 2020
Editor assigned
On 21 Aug, 2020
Reviewers invited
Invitations sent on 21 Aug, 2020
First submitted
On 11 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Urology & Nephrology
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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 BMC Nephrology.
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 article
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 BMC Nephrology.
No community comments so far
Editorial decision: Accept
On 21 Nov, 2020
Editor assigned
On 12 Nov, 2020
Reviewers invited
Invitations sent on 12 Nov, 2020
Reviewer #1 agreed
On 12 Nov, 2020
Review #1 received
Received 12 Nov, 2020
Submission checks complete
On 12 Nov, 2020
Editor invited
On 12 Nov, 2020
Version 1
Posted 24 Aug, 2020
No comments provided
Editorial decision: Major revision
On 17 Sep, 2020
Review #2 received
Received 14 Sep, 2020
Review #1 received
Received 08 Sep, 2020
Reviewer #2 agreed
On 28 Aug, 2020
Reviewer #1 agreed
On 28 Aug, 2020
Submission checks complete
On 21 Aug, 2020
Editor invited
On 21 Aug, 2020
Editor assigned
On 21 Aug, 2020
Reviewers invited
Invitations sent on 21 Aug, 2020
First submitted
On 11 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Urology & Nephrology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Nephrology.
Objective:
Delayed graft function (DGF) is closely associated with the use of marginal donated kidneys due to deficits during transplantation and in recipients. We aimed to predict the incidence of DGF and evaluate its effect on graft survival.
Methods:
This retrospective study on kidney transplantation was conducted from January 1, 2018, to May 31, 2019, in the Second Xiangya Hospital of Central South University. We classified recipients into training and validation cohorts and used data from the training cohort to analyze the predictors of DGF. A nomogram was then constructed to predict the likelihood of DGF based on these predictors.
Results:
The incidence rate of DGF is 24.73%. Binary logistic regression analysis showed correlations between the incidence of DGF and cold ischemic time (CIT), warm ischemic time (WIT), donor body mass index (BMI), duration of pretransplant dialysis, diabetic donor, primary cause of donor death, and terminal serum creatinine concentration. The internal accuracy of the nomogram was 85.78%. One-year graft survival rates were 100% and 94.74%, respectively, for the groups with and without DGF (P<0.05).
Conclusion:
The nomogram established in this study showed good accuracy in predicting DGF after deceased donor kidney transplantation; additionally, DGF decreased one-year graft survival.
Figure 1
Figure 2
Figure 3
Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
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