{"title":"估计接受腹膜透析的终末期肾病患者慢性肾病相关性瘙痒风险的提名图:模型开发与验证研究。","authors":"Wen Gu, Ming Zhang, Changna Liang, Shaohui Ma, Xiaopei Wang, Huijie Yuan, Zhaoyao Luo, Jing Lv","doi":"10.1159/000539786","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Chronic kidney disease-associated pruritus (CKD-aP) frequently occurs in patients with end-stage renal disease (ESRD) undergoing peritoneal dialysis (PD) and presents a therapeutic challenge to physicians owing to the diversity of its pathogenesis. Herein, we developed and validated a nomogram model for individualized risk estimation of CKD-aP and investigated the possible causes of CKD-aP in PD patients.</p><p><strong>Methods: </strong>We retrospectively screened patients with CKD-aP who underwent PD between 2021 and 2023 at the First Affiliated Hospital of Xi'an Jiaotong University Peritoneal Dialysis Center. Nomograms for each outcome were computed from multivariate logistic regression models with the least absolute shrinkage and selection operator regression and univariate logistic regression for variable selection. The discriminative ability was estimated by Harrell's C-index, and the accuracy was assessed graphically with a calibration curve plot. Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort. Decision curve analysis was used to assess the model's clinical usefulness.</p><p><strong>Results: </strong>In all, a total of 487 patients were entered in the analysis, including 325 in the development cohort and 162 in the validation cohort. The final nomogram incorporated five variables: age, interleukin-6, hemoglobin, residual urine volume, and renal Kt/V. The C-index of the model was 0.733 (95% CI: 0.679-0.787), and the calibration curve was a straight line with a slope close to 1. Both internal and external validations confirmed the model's good performance, with C-index of 0.725 (95% CI: 0.662-0.774) and 0.706 (95% CI: 0.623-0.789), respectively. Decision curve analysis showed that the nomogram had good clinical benefits.</p><p><strong>Conclusion: </strong>Our study proposes a nomogram model for CKD-aP risk assessment in ESRD patients with PD. This nomogram might help in clinical decision-making and evidence-based selection of therapy.</p>","PeriodicalId":8953,"journal":{"name":"Blood Purification","volume":" ","pages":"755-767"},"PeriodicalIF":2.2000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11397407/pdf/","citationCount":"0","resultStr":"{\"title\":\"Nomogram to Estimate the Risk of Chronic Kidney Disease-Associated Pruritus in Patients with End-Stage Renal Disease Undergoing Peritoneal Dialysis: Model Development and Validation Study.\",\"authors\":\"Wen Gu, Ming Zhang, Changna Liang, Shaohui Ma, Xiaopei Wang, Huijie Yuan, Zhaoyao Luo, Jing Lv\",\"doi\":\"10.1159/000539786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Chronic kidney disease-associated pruritus (CKD-aP) frequently occurs in patients with end-stage renal disease (ESRD) undergoing peritoneal dialysis (PD) and presents a therapeutic challenge to physicians owing to the diversity of its pathogenesis. Herein, we developed and validated a nomogram model for individualized risk estimation of CKD-aP and investigated the possible causes of CKD-aP in PD patients.</p><p><strong>Methods: </strong>We retrospectively screened patients with CKD-aP who underwent PD between 2021 and 2023 at the First Affiliated Hospital of Xi'an Jiaotong University Peritoneal Dialysis Center. Nomograms for each outcome were computed from multivariate logistic regression models with the least absolute shrinkage and selection operator regression and univariate logistic regression for variable selection. The discriminative ability was estimated by Harrell's C-index, and the accuracy was assessed graphically with a calibration curve plot. Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort. Decision curve analysis was used to assess the model's clinical usefulness.</p><p><strong>Results: </strong>In all, a total of 487 patients were entered in the analysis, including 325 in the development cohort and 162 in the validation cohort. The final nomogram incorporated five variables: age, interleukin-6, hemoglobin, residual urine volume, and renal Kt/V. The C-index of the model was 0.733 (95% CI: 0.679-0.787), and the calibration curve was a straight line with a slope close to 1. Both internal and external validations confirmed the model's good performance, with C-index of 0.725 (95% CI: 0.662-0.774) and 0.706 (95% CI: 0.623-0.789), respectively. Decision curve analysis showed that the nomogram had good clinical benefits.</p><p><strong>Conclusion: </strong>Our study proposes a nomogram model for CKD-aP risk assessment in ESRD patients with PD. 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引用次数: 0
摘要
导言:慢性肾病相关性瘙痒症(CKD-aP)经常发生在接受腹膜透析(PD)的终末期肾病(ESRD)患者中,由于其发病机制的多样性,给医生的治疗带来了挑战。在此,我们开发并验证了一种用于个体化估计 CKD-aP 风险的提名图模型,并研究了腹膜透析患者 CKD-aP 的可能病因:我们回顾性地筛选了 2021 年至 2023 年期间在西安交通大学第一附属医院腹膜透析中心接受腹膜透析治疗的 CKD-aP 患者。采用最小绝对缩减和选择算子回归的多变量逻辑回归模型和单变量逻辑回归进行变量选择,计算出每种结果的提名图。判别能力由 Harrell's C 指数估算,准确性由校准曲线图评估。模型的内部验证采用引导法,外部验证则通过计算模型在验证队列中的表现进行。决策曲线分析用于评估模型的临床实用性:共有 487 名患者参与了分析,其中 325 人属于开发队列,162 人属于验证队列。最终的提名图包含四个变量:年龄、白细胞介素-6、血红蛋白、残余尿量和肾Kt/V。模型的 C 指数为 0.733(95% CI 0.679-0.787),校准曲线是一条斜率接近 1 的直线。内部和外部验证都证实了模型的良好性能,C 指数分别为 0.725(95% CI 0.662-0.774)和 0.706(95% CI 0.623-0.789)。决策曲线分析表明,提名图具有良好的临床效益:我们的研究提出了一种用于评估 ESRD 患者 CKD-aP 风险的提名图模型。该提名图可能有助于临床决策和循证疗法的选择。
Nomogram to Estimate the Risk of Chronic Kidney Disease-Associated Pruritus in Patients with End-Stage Renal Disease Undergoing Peritoneal Dialysis: Model Development and Validation Study.
Introduction: Chronic kidney disease-associated pruritus (CKD-aP) frequently occurs in patients with end-stage renal disease (ESRD) undergoing peritoneal dialysis (PD) and presents a therapeutic challenge to physicians owing to the diversity of its pathogenesis. Herein, we developed and validated a nomogram model for individualized risk estimation of CKD-aP and investigated the possible causes of CKD-aP in PD patients.
Methods: We retrospectively screened patients with CKD-aP who underwent PD between 2021 and 2023 at the First Affiliated Hospital of Xi'an Jiaotong University Peritoneal Dialysis Center. Nomograms for each outcome were computed from multivariate logistic regression models with the least absolute shrinkage and selection operator regression and univariate logistic regression for variable selection. The discriminative ability was estimated by Harrell's C-index, and the accuracy was assessed graphically with a calibration curve plot. Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort. Decision curve analysis was used to assess the model's clinical usefulness.
Results: In all, a total of 487 patients were entered in the analysis, including 325 in the development cohort and 162 in the validation cohort. The final nomogram incorporated five variables: age, interleukin-6, hemoglobin, residual urine volume, and renal Kt/V. The C-index of the model was 0.733 (95% CI: 0.679-0.787), and the calibration curve was a straight line with a slope close to 1. Both internal and external validations confirmed the model's good performance, with C-index of 0.725 (95% CI: 0.662-0.774) and 0.706 (95% CI: 0.623-0.789), respectively. Decision curve analysis showed that the nomogram had good clinical benefits.
Conclusion: Our study proposes a nomogram model for CKD-aP risk assessment in ESRD patients with PD. This nomogram might help in clinical decision-making and evidence-based selection of therapy.
期刊介绍:
Practical information on hemodialysis, hemofiltration, peritoneal dialysis and apheresis is featured in this journal. Recognizing the critical importance of equipment and procedures, particular emphasis has been placed on reports, drawn from a wide range of fields, describing technical advances and improvements in methodology. Papers reflect the search for cost-effective solutions which increase not only patient survival but also patient comfort and disease improvement through prevention or correction of undesirable effects. Advances in vascular access and blood anticoagulation, problems associated with exposure of blood to foreign surfaces and acute-care nephrology, including continuous therapies, also receive attention. Nephrologists, internists, intensivists and hospital staff involved in dialysis, apheresis and immunoadsorption for acute and chronic solid organ failure will find this journal useful and informative. ''Blood Purification'' also serves as a platform for multidisciplinary experiences involving nephrologists, cardiologists and critical care physicians in order to expand the level of interaction between different disciplines and specialities.