Volume 15 Issue 1
Jan.  2024
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Yang Shujun, Wei Hao, Peng Jiang, et al. Construction and validation of a prediction model for public acceptance of kidney xenotransplantation in China[J]. ORGAN TRANSPLANTATION, 2024, 15(1): 102-111. doi: 10.3969/j.issn.1674-7445.2023164
Citation: Yang Shujun, Wei Hao, Peng Jiang, et al. Construction and validation of a prediction model for public acceptance of kidney xenotransplantation in China[J]. ORGAN TRANSPLANTATION, 2024, 15(1): 102-111. doi: 10.3969/j.issn.1674-7445.2023164
shu

Construction and validation of a prediction model for public acceptance of kidney xenotransplantation in China

doi: 10.3969/j.issn.1674-7445.2023164
  • 1.

    Department of Urology, the Second Hospital of Lanzhou University, Lanzhou 730030, China

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  • Corresponding author: Shang Panfeng, Email: shangpf@lzu.edu.cn; Sun Shengkun, Email: sunshengkun@301hospital.com.cn
  • Received Date: 2023-08-24
    Available Online: 2023-11-29
  • Publish Date: 2024-01-11
    Abstract
  •   Objective   To explore the public attitude towards kidney xenotransplantation in China by constructing and validating the prediction model based on xenotransplantation questionnaire.   Methods  A convenient sampling survey was conducted among the public in China with the platform of Wenjuanxing to analyze public acceptance of kidney xenotransplantation and influencing factors. Using random distribution method, all included questionnaires (n=2 280) were divided into the training and validation sets according to a ratio of 7:3. A prediction model was constructed and validated.   Results  A total of 2 280 questionnaires were included. The public acceptance rate of xenotransplantation was 71.3%. Multivariate analysis showed that gender, marital status, resident area, medical insurance coverage, religious belief, vegetarianism, awareness of kidney xenotransplantation and whether on the waiting list for kidney transplantation were the independent influencing factors for public acceptance of kidney xenotransplantation (all P<0.05). The area under the curve (AUC) of receiver operating characteristic (ROC) of the prediction model in the training set was 0.773, and 0.785 in the validation set. The calibration curves in the training and validation sets indicated that the prediction models yielded good prediction value. Decision curve analysis (DCA) suggested that the prediction efficiency of the model was high.   Conclusions  In China, public acceptance of kidney xenotransplantation is relatively high, whereas it remains to be significantly enhanced. The prediction model based on questionnaire survey has favorable prediction efficiency, which provides reference for subsequent research.

     

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