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Nomogram model for predicting early onset of chronic kidney disease using color Doppler region of interest technique

  • Kidneys, Ureters, Bladder, Retroperitoneum
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

The risk factors of chronic kidney disease were analyzed by using the region of interest quantitative technology of color Doppler combined with QLab software, and a Nomogram was established to conduct an individualized assessment of patients with chronic kidney disease.

Methods

A total of 500 patients with chronic kidney disease diagnosed in our hospital from June 2019 to March 2021 were selected as the chronic kidney disease group, and 300 healthy patients during the same period were selected as the control group. Univariate analysis was performed on the test indexes and the vascularity index, flow index, and vascularization flow index measured by the color doppler region of interest quantitative technique. The above meaningful indicators were included in the Logistics regression analysis to obtain the independent risk factors of early chronic kidney disease. The independent risk factors were imported into R software to draw a Nomogram model for predicting early chronic kidney disease and evaluate the model.

Results

Single factor analysis results suggest age, hypertension, diabetes, hyperlipidemia, disease of heart head blood-vessel, body mass index, vascularity index, flow index, and vascularization flow index, fasting blood sugar, triglyceride, total cholesterol, urea nitrogen, creatinine, uric acid, glomerular filtration rate differences statistically significant (P < 0.05). Logistics regression analysis showed that hypertension, diabetes, flow index, and vascularization flow index, urea nitrogen, and albumin were independent risk factors for the early occurrence of chronic kidney disease. The C-index of this Nomogram using independent risk factors is 0.896 (95%CI 0.862–0.930), which indicates that the Nomogram has good discriminant power. The receiver operating curve of the histograph was area under the curve (AUC) 0.884 (95%CI 0.860–0.908). The receiver operator characteristic curve (ROC) of urea nitrogen, albumin, flow index, and vascularization flow index were evaluated. The results indicated that the best cutoff value of urea nitrogen was 5.9 mmol/L, flow index was 14.67, vascularization flow index was 4.6, and albumin was 40.26 g/L.

Conclusion

In the prediction of chronic kidney disease I–II stage, the quantitative technique of color Doppler region of interest has certain diagnostic value. The model established in this study has good discriminative power and can be applied to clinical practice, giving certain indicative significance.

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Funding

The authors did not receive support from any organization for the submitted work.

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Author notes

  1. Liang Zhang and Kuishuai Xu have contributed equally to this work.

Authors and Affiliations

  1. Department of Abdonminal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China

    Liang Zhang, Leiyuan Ma, Changjie Shao, Chuanxin Gong & Ning Yu

  2. Department of Sports Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China

    Kuishuai Xu

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  1. Liang Zhang
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Contributions

Conception and design: LZ; KX. Administrative support: NY. Provision of study materials or patients: LM; CS; CG; NY. Collection and assembly of data: LZ; LM. Data analysis and interpretation: LZ; KX. Manuscript writing: All authors. Final approval of manuscript: All authors.

Corresponding author

Correspondence to Ning Yu.

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Conflict of interest

All authors have completed the ICMJE uniform disclosure form. The authors have no conflicts of interest to declare.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the Bioethics Committee of the Affiliated Hospital of Qingdao University (QYFYWZLL26280).

Informed consent

Informed consent was obtained from all individual participants included in the study. The authors affirm that human research participants provided informed consent for publication of the images in Fig. 1. Patients signed informed consent regarding publishing their data and photographs.

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Zhang, L., Xu, K., Ma, L. et al. Nomogram model for predicting early onset of chronic kidney disease using color Doppler region of interest technique. Abdom Radiol 47, 4186–4194 (2022). https://doi.org/10.1007/s00261-022-03664-5

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  • DOI: https://doi.org/10.1007/s00261-022-03664-5

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