Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death
Background: How to evaluate the quality of donation after cardiac death (DCD) kidneys has become a critical problem in kidney transplantation in China. Hence, the aim of this study was to develop a simple donor risk score model to evaluate the quality of DCD kidneys before DCD. Methods: A total of 5...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer
2017-01-01
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| Series: | Chinese Medical Journal |
| Subjects: | |
| Online Access: | http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=20;spage=2429;epage=2434;aulast=Ding |
| _version_ | 1828960903646674944 |
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| author | Chen-Guang Ding Qian-Hui Tai Feng Han Yang Li Xiao-Hui Tian Pu-Xun Tian Xiao-Ming Ding Xiao-Ming Pan Jin Zheng He-Li Xiang Wu-Jun Xue |
| author_facet | Chen-Guang Ding Qian-Hui Tai Feng Han Yang Li Xiao-Hui Tian Pu-Xun Tian Xiao-Ming Ding Xiao-Ming Pan Jin Zheng He-Li Xiang Wu-Jun Xue |
| author_sort | Chen-Guang Ding |
| collection | DOAJ |
| description | Background: How to evaluate the quality of donation after cardiac death (DCD) kidneys has become a critical problem in kidney transplantation in China. Hence, the aim of this study was to develop a simple donor risk score model to evaluate the quality of DCD kidneys before DCD.
Methods: A total of 543 qualified kidneys were randomized in a 2:1 manner to create the development and validation cohorts. The donor variables in the development cohort were considered as candidate univariate predictors of delayed graft function (DGF). Multivariate logistic regression was then used to identify independent predictors of DGF with P < 0.05. Date from validation cohort were used to validate the donor scoring model.
Results: Based on the odds ratios, eight identified variables were assigned a weighted integer; the sum of the integer was the total risk score for each kidney. The donor risk score, ranging from 0 to 28, demonstrated good discriminative power with a C-statistic of 0.790. Similar results were obtained from validation cohort with C-statistic of 0.783. Based on the obtained frequencies of DGF in relation to different risk scores, we formed four risk categories of increasing severity (scores 0–4, 5–9, 10–14, and 15–28).
Conclusions: The scoring model might be a good noninvasive tool for assessing the quality of DCD kidneys before donation and potentially useful for physicians to make optimal decisions about donor organ offers. |
| first_indexed | 2024-12-14T09:35:41Z |
| format | Article |
| id | doaj.art-210e0880dc0d42b0a0f926c02021d6b8 |
| institution | Directory Open Access Journal |
| issn | 0366-6999 |
| language | English |
| last_indexed | 2024-12-14T09:35:41Z |
| publishDate | 2017-01-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Chinese Medical Journal |
| spelling | doaj.art-210e0880dc0d42b0a0f926c02021d6b82022-12-21T23:07:56ZengWolters KluwerChinese Medical Journal0366-69992017-01-01130202429243410.4103/0366-6999.216409Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac DeathChen-Guang DingQian-Hui TaiFeng HanYang LiXiao-Hui TianPu-Xun TianXiao-Ming DingXiao-Ming PanJin ZhengHe-Li XiangWu-Jun XueBackground: How to evaluate the quality of donation after cardiac death (DCD) kidneys has become a critical problem in kidney transplantation in China. Hence, the aim of this study was to develop a simple donor risk score model to evaluate the quality of DCD kidneys before DCD. Methods: A total of 543 qualified kidneys were randomized in a 2:1 manner to create the development and validation cohorts. The donor variables in the development cohort were considered as candidate univariate predictors of delayed graft function (DGF). Multivariate logistic regression was then used to identify independent predictors of DGF with P < 0.05. Date from validation cohort were used to validate the donor scoring model. Results: Based on the odds ratios, eight identified variables were assigned a weighted integer; the sum of the integer was the total risk score for each kidney. The donor risk score, ranging from 0 to 28, demonstrated good discriminative power with a C-statistic of 0.790. Similar results were obtained from validation cohort with C-statistic of 0.783. Based on the obtained frequencies of DGF in relation to different risk scores, we formed four risk categories of increasing severity (scores 0–4, 5–9, 10–14, and 15–28). Conclusions: The scoring model might be a good noninvasive tool for assessing the quality of DCD kidneys before donation and potentially useful for physicians to make optimal decisions about donor organ offers.http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=20;spage=2429;epage=2434;aulast=DingDelayed Graft FunctionDonation after Cardiac DeathKidney TransplantationPredictive Score |
| spellingShingle | Chen-Guang Ding Qian-Hui Tai Feng Han Yang Li Xiao-Hui Tian Pu-Xun Tian Xiao-Ming Ding Xiao-Ming Pan Jin Zheng He-Li Xiang Wu-Jun Xue Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death Chinese Medical Journal Delayed Graft Function Donation after Cardiac Death Kidney Transplantation Predictive Score |
| title | Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death |
| title_full | Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death |
| title_fullStr | Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death |
| title_full_unstemmed | Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death |
| title_short | Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death |
| title_sort | predictive score model for delayed graft function based on easily available variables before kidney donation after cardiac death |
| topic | Delayed Graft Function Donation after Cardiac Death Kidney Transplantation Predictive Score |
| url | http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=20;spage=2429;epage=2434;aulast=Ding |
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