Guixing Xu1, Zhiyong Guo2, Wenhua Liang3, Erye Xin4, Bin Liu5, Ye Xu6, Zhongqin Luan7, Paul Michael Schroder8, Martí Manyalich9, Dicken Shiu-Chung Ko10, Xiaoshun He11. 1. Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China; Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. 2. Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China. Electronic address: rockyucsf1981@126.com. 3. Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. 4. Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China. 5. Department of Neurosurgery, The People's Hospital of Dongguan City, Dongguan, China. 6. Department of Neurosurgery, The First People's Hospital of Foshan City, Foshan, China. 7. Department of Neurosurgery, Jiangmen Central Hospital, Jiangmen, China. 8. Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA. 9. Transplant Procurement Management-Donation & Transplantation Institute Foundation, Parc Científic de Barcelona, Barcelona, Spain. 10. Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. 11. Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, China; Guangdong Provincial International Cooperation Base of Science and Technology, Guangzhou, China. Electronic address: gdtrc@163.com.
Abstract
BACKGROUND: The success or failure of donation after circulatory death depends largely on the functional warm ischemia time, which is closely related to the duration between withdrawal of life-sustaining treatment and circulatory arrest. However, a reliable predictive model for the duration is absent. We aimed to compare the performance of the Chinese Donation after Circulatory Death Nomogram (C-DCD-Nomogram) and 3 other tools in a cohort of potential donors. METHODS: In this prospective, multicenter, observational study, data were obtained from 219 consecutive neurocritical patients in China. The patients were followed until circulatory death after withdrawal of life-sustaining treatment. RESULTS: The C-DCD-Nomogram performed well in predicting patient death within 30, 60, 120 and 240 minutes after withdrawal of life-sustaining treatment with c-statistics of 0.87, 0.88, 0.86 and 0.95, respectively. The DCD-N score was a poor predictor of death within 30, 60 and 240 minutes, with c-statistics of 0.63, 0.69 and 0.59, respectively, although it was able to predict patient death within 120 minutes, with a c-statistic of 0.73. Neither the University of Wisconsin DCD evaluation tool (UWDCD) nor the United Network for Organ Sharing (UNOS) criteria was able to predict patient death within 30, 60, 120 and 240 minutes after withdrawal of life-sustaining treatment (UWDCD tool: 0.48, 0.45, 0.49 and 0.57; UNOS criteria: 0.50, 0.53, 0.51 and 0.63). CONCLUSION: The C-DCD-Nomogram is superior to the other 3 tools for predicting death within a limited duration after withdrawal of life-sustaining treatment in Chinese neurocritical patients. Thus, it appears to be a reliable tool identifying potential donors after circulatory death.
BACKGROUND: The success or failure of donation after circulatory death depends largely on the functional warm ischemia time, which is closely related to the duration between withdrawal of life-sustaining treatment and circulatory arrest. However, a reliable predictive model for the duration is absent. We aimed to compare the performance of the Chinese Donation after Circulatory Death Nomogram (C-DCD-Nomogram) and 3 other tools in a cohort of potential donors. METHODS: In this prospective, multicenter, observational study, data were obtained from 219 consecutive neurocritical patients in China. The patients were followed until circulatory death after withdrawal of life-sustaining treatment. RESULTS: The C-DCD-Nomogram performed well in predicting patientdeath within 30, 60, 120 and 240 minutes after withdrawal of life-sustaining treatment with c-statistics of 0.87, 0.88, 0.86 and 0.95, respectively. The DCD-N score was a poor predictor of death within 30, 60 and 240 minutes, with c-statistics of 0.63, 0.69 and 0.59, respectively, although it was able to predict patientdeath within 120 minutes, with a c-statistic of 0.73. Neither the University of Wisconsin DCD evaluation tool (UWDCD) nor the United Network for Organ Sharing (UNOS) criteria was able to predict patientdeath within 30, 60, 120 and 240 minutes after withdrawal of life-sustaining treatment (UWDCD tool: 0.48, 0.45, 0.49 and 0.57; UNOS criteria: 0.50, 0.53, 0.51 and 0.63). CONCLUSION: The C-DCD-Nomogram is superior to the other 3 tools for predicting death within a limited duration after withdrawal of life-sustaining treatment in Chinese neurocritical patients. Thus, it appears to be a reliable tool identifying potential donors after circulatory death.
Authors: Maaike F Nijhoff; Robert A Pol; Meint Volbeda; Angela M M Kotsopoulos; Johan P C Sonneveld; Luuk Otterspoor; Wilson F Abdo; Vera M Silderhuis; Mostafa El Moumni; Cyril Moers Journal: Transplantation Date: 2021-06-01 Impact factor: 4.939