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基于血清肌酐水平预测的估计肾小球滤过率值、利用慢性肾脏病风险因素及计算机断层扫描图像上的肾窦前后径对慢性肾脏病进行分期

Classifying Chronic Kidney Disease Stages Based on Predicted Value of Estimated Glomerular Filtration Rate From Serum Creatinine Levels Using Chronic Kidney Disease Risk Factors and Renal Sinus Anteroposterior Diameter on a Computed Tomography Image.

作者信息

Inokuchi Yasuhiro, Takashina Tsuneyuki, Hayashi Yusuke, Sakihara Jo, Uematsu Masahiro, Kurosaki Hiromasa

机构信息

Department of Radiology, Edogawa Hospital, Tokyo, JPN.

Department of Radiology and Radiation Oncology, Edogawa Hospital, Tokyo, JPN.

出版信息

Cureus. 2024 Nov 5;16(11):e73085. doi: 10.7759/cureus.73085. eCollection 2024 Nov.

DOI:10.7759/cureus.73085
PMID:39640175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11620782/
Abstract

OBJECTIVE

This study aimed to investigate whether the calculated predicted value of the estimated glomerular filtration rate from serum creatinine levels (eGFRcreat-PV) from multiple regression equations using the anteroposterior diameter of the renal sinus (APDRS) measured on multidetector row computed tomography (MDCT) axial images and easily obtainable chronic kidney disease (CKD) risk factors (age and body mass index, BMI) is useful for separating CKD stages.

MATERIAL AND METHODS

The Review Board approved this study, and the additional approval requirement was waived for this retrospective study. We investigated the association between eGFRcreat and age, BMI, and APDRS using stepwise multivariate regression analysis in 98 patients who underwent MDCT and calculated eGFRcreat-PV from the obtained multiple regression equation. We investigated significant differences in eGFRcreat-PV according to the variation in the CKD stage 3 categories and cutoff value. Additionally, we analyzed the area under the curve (AUC), sensitivity, and specificity of eGFRcreat-PV to differentiate between the patients with greater and less than CKD stage 3.

RESULTS

Age, BMI, and APDRS scores were independent factors influencing eGFRcreat. The difference in eGFRcreat-PV between the groups with greater and less than CKD stage 3 was significant. Additionally, the cutoff value, AUC, sensitivity, and specificity of eGFRcreat-PV used to distinguish between the two groups of greater and less than CKD stage 3 were 61.5, 0.801, 63.9%, and 80.6%, respectively.

CONCLUSION

The eGFRcreat-PV from the APDRS, measured on MDCT axial images, along with age and BMI, helps differentiate the less and more than CKD stage 3.

摘要

目的

本研究旨在探讨利用在多排螺旋计算机断层扫描(MDCT)轴向图像上测量的肾窦前后径(APDRS)以及易于获得的慢性肾脏病(CKD)风险因素(年龄和体重指数,BMI),通过多元回归方程计算得出的基于血清肌酐水平的估计肾小球滤过率预测值(eGFRcreat-PV)是否有助于区分CKD分期。

材料与方法

伦理审查委员会批准了本研究,对于这项回顾性研究免除了额外的批准要求。我们在98例接受MDCT检查的患者中,采用逐步多元回归分析研究了eGFRcreat与年龄、BMI和APDRS之间的关联,并根据获得的多元回归方程计算eGFRcreat-PV。我们根据CKD 3期类别和临界值的变化,研究了eGFRcreat-PV的显著差异。此外,我们分析了eGFRcreat-PV区分CKD 3期及以上和以下患者的曲线下面积(AUC)、敏感性和特异性。

结果

年龄、BMI和APDRS评分是影响eGFRcreat的独立因素。CKD 3期及以上和以下组之间的eGFRcreat-PV差异显著。此外,用于区分CKD 3期及以上和以下两组患者的eGFRcreat-PV的临界值、AUC、敏感性和特异性分别为61.5、0.801、63.9%和80.6%。

结论

在MDCT轴向图像上测量的基于APDRS的eGFRcreat-PV,连同年龄和BMI,有助于区分CKD 3期及以下和以上患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/7d82bec8401d/cureus-0016-00000073085-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/f70896f68711/cureus-0016-00000073085-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/d8962a80a6bb/cureus-0016-00000073085-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/7d82bec8401d/cureus-0016-00000073085-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/f70896f68711/cureus-0016-00000073085-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/d8962a80a6bb/cureus-0016-00000073085-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/741c/11620782/7d82bec8401d/cureus-0016-00000073085-i03.jpg

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本文引用的文献

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Cureus. 2024 Apr 10;16(4):e58006. doi: 10.7759/cureus.58006. eCollection 2024 Apr.
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