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predictive score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death

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Chinese Medical Journal 2017年第20期130卷 2429-2434页

作者： 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 Department of Renal Transplantation Nephropathy Hospital The First Affiliated Hospital of Xi'an Jiaotong University Xi'an Shaanxi 710061 China Institute of Organ Transplantation Xi'an Jiaotong University Xi'an Shaanxi 710061 China

Background： How to evaluate the quality of donation after cardiac transplantation in China. Hence, the aim of this study was to develop kidneys before DCD. death （DCD） kidneys has become a critical problem in kidney a simple donor risk score model to evaluate the quality of 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 tour risk categories of increasing severity （scores 04, 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.

关键词： Delayed Graft Function Donation after Cardiac Death Kidney Transplantation predictive score

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Feasibility of Complete Cytoreduction in Advanced Epithelial Ovarian Cancer

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Open Journal of Obstetrics and Gynecology 2021年第7期11卷 836-844页

作者： Noha E. Hassan Abdel Fattah Agameya Amal Alsonoussi Mahmoud Meleis Obstetrics and Gynecology Department Faculty of Medicine Alexandria University Alexandria Egypt

Objective: Complete resectability of all visualized tumor implants at debulking surgery for advanced epithelial ovarian cancer is confirmed to be the single most important prognostic factor. This study aims to develop preoperative predicting score based on clinical, biological, and radiological criteria of epithelial ovarian cancer to assess the feasibility of complete cytoreduction. Study Design: A retrospective record-based study. Patients and Methods: The study was conducted upon 50 consecutive patients managed for epithelial ovarian cancer with FIGO stage III. Patients’ data were collected from records of the Gyne-Oncology Clinic of El Shatby University Maternity Hospital affiliated to Alexandria University. Results: Many parameters were significantly associated with completeness of resectability in univariate analysis;including age, BMI, CA125, albumin, pre-albumin, PCI, mesenteric, and right copula of diaphragm affection by CT scan (p value .05). A 100-point predictability score was developed, 10 for BMI ≥ 35 kg/m

关键词： Cytoreduction Ovarian Carcinoma predictive score

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