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논문분류	춘계학술대회 초록집
제목	Construction and validation of a predictive model for malignant tumor in patients with membranous nephropathy
저자	Shuaigang Sun
출판정보	2024; 2024(1):
키워드
초록	Objectives: The association between membranous nephropathy (MN) and malignant tumor has long been focused, however, due to limited sample size and the lack of standardized inclusion criteria, the research conclusions are not completely consistent. In this study, we aimed to explore the clinicopathologic characteristics of patients diagnosed with MN and a coexisting malignant tumor, and establish an effective predictive model for identifying the risk of malignant tumor in patients with MN. Methods: A total of 194 MN patients with malignant tumor and 604 idiopathic MN patients without malignant tumor were retrospectively recruited in this study. All of the patients were then randomly separated (3:1) into the training cohort (n=599) and the validation cohort (n=199). A predictive model was constructed based on regression analysis and the model performance, calibration ability and clinical utility were subsequently assessed via the area under the ROC curve (AUC), calibration curve and decision curve analysis (DCA). Results: A predictive model basedd on age, hemoglobin, degree of arteriole injury, glomerular IgG1, IgG2, IgG3, IgG4, and PLA2R deposition were constructed. The predictive model exhibited a diagnostic power of 0.890 and 0.960 in the training and validation cohorts, respectively, and was validated to demonstrate strong calibration capability and clinical utility. Conclusions: In this largest cohort with membranous nephropathy and malignant tumor up to date, we constructed a model based on clinical and pathological parameters, to effectively estimate the risk of malignant tumor in patients with MN. This tool aims to assist clinicians in their decision-making process and improve the prognosis for high-risk MN patients by facilitating tumor screening at the time of initial diagnosis.
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