原发性硬化性胆管炎的预后模型

A. Dolgushina, A. Selyanina, V. V. Dubrovina, G. A. Isyangildina, E. R. Olevskaya
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引用次数: 0

摘要

目的:探讨车里雅宾斯克地区原发性硬化性胆管炎(PSC)患者预后量表的意义。材料和方法。该研究包括21例确诊为原发性硬化性胆管炎(PSC)且病程至少2年的患者。研究的主要终点是死亡。MELD、Mayo风险评分、阿姆斯特丹-牛津PSC评分、PREsTo评分和UK-PSC评分量表根据病历计算。采用SPSS Statistics v.22软件进行统计处理。使用MELD、Mayo风险评分和阿姆斯特丹-牛津PSC评分对死亡风险进行回顾性评估,未发现死亡和存活患者之间有统计学上的显著差异。UK-PSC评分量表的预测价值最高(p = 0.046)。与其他量表相比,新的预测模型UK-PSC评分在预测PSC患者死亡方面具有优势。
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Prognostic Models of Primary Sclerosing Cholangitis
Aim: to study the significance of prognostic scales in a target group of patients with primary sclerosing cholangitis (PSC) living in the Chelyabinsk region.Materials and methods. The study included 21 patients with a confirmed diagnosis of primary sclerosing cholangitis (PSC) and a disease duration of at least two years. The primary endpoint studied was death. The MELD, Mayo Risk Score, Amsterdam-Oxford PSC Score, PREsTo score, and UK-PSC Score scales were calculated based on the medical records. Statistical processing was carried out using the SPSS Statistics v.22 application.Results. A retrospective assessment of the risk of mortality using the MELD, Mayo Risk Score and Amsterdam-Oxford PSC Score did not reveal a statistically significant difference between deceased and surviving patients. The UK-PSC Score scale showed the highest predictive value (p = 0.046).Conclusion. The new predictive model UK-PSC Score showed advantages in predicting death in PSC patients compared to other scales.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
44
审稿时长
8 weeks
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