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Value of elastography point quantification in improving the diagnostic accuracy of early diabetic kidney disease.
Liu, Qiu-Yun; Duan, Qi; Fu, Xiao-Hong; Fu, Li-Qian; Xia, Hong-Wei; Wan, Yong-Lin.
Afiliação
  • Liu QY; Department of Ultrasound, Naval Military Medical University Affiliated Gongli Hospital, Shanghai 200135, China.
  • Duan Q; Department of Ultrasound, Shanghai Hemujia Hospital, Shanghai 200336, China. chen_qingan@163.com.
  • Fu XH; Department of Ultrasound, Naval Military Medical University Affiliated Gongli Hospital, Shanghai 200135, China.
  • Fu LQ; Department of Nephrology, Naval Military Medical University Affiliated Gongli Hospital, Shanghai 200135, China.
  • Xia HW; Department of Ultrasound, Naval Military Medical University Affiliated Gongli Hospital, Shanghai 200135, China.
  • Wan YL; Department of Ultrasound, Naval Military Medical University Affiliated Gongli Hospital, Shanghai 200135, China.
World J Clin Cases ; 7(23): 3945-3956, 2019 Dec 06.
Article em En | MEDLINE | ID: mdl-31832396
BACKGROUND: Diabetic kidney disease (DKD) is a common complication of diabetes. The patient's prognosis is poor once DKD progresses to advanced stage. Accurate diagnosis and timely treatment of early DKD are important for improving patient's prognosis and reducing mortality. AIM: To explore the value of elastography point quantification (ElastPQ) in improving the accuracy of early DKD diagnosis. METHODS: A total of 69 patients with type 2 diabetes were recruited from Naval Military Medical University Affiliated Gongli Hospital. Patients were divided into early DKD group and medium DKD group according to pathological results and urinary albumin excretion rate (UAER). Another 40 patients with simple diabetes were included as the diabetes group. The baseline data, laboratory diagnostic indicators, and ultrasound indicators for each patient were recorded. The differences of the indicators in the three groups were compared. Multivariate logistic regression was used to analyze the influencing factors of the development from simple diabetes into early DKD and from early DKD into medium DKD. Receiver operating characteristic analyses of potential indicators in identifying early DKD and medium DKD, and early DKD and simple diabetes were established. RESULTS: Multivariate logistic regression analysis showed that UAER (P < 0.001), renocortical Young's Modulus (YM) (P < 0.001), and renal parenchymal thickness (P = 0.013) were the independent influencing factors of the development from early DKD into medium DKD. Diabetes duration (P = 0.041), UAER (P = 0.034), and renocortical YM (P = 0.017) were the independent influencing factors of the development from simple diabetes into early DKD. Receiver operating characteristic analysis indicated that UAER, renocortical YM, and renal parenchymal thickness were accurate in identifying early DKD and medium DKD [all area under curve (AUC) > 0.9]. The accuracy of UAER (AUC = 0.744), diabetes duration (AUC = 0.757), and renocortical YM (AUC = 0.782) for the diagnosis of early DKD and simple diabetes were limited. However, the combined diagnosis of UAER, diabetes duration, and renocortical YM was accurate in identifying early DKD and simple diabetes (AUC = 0.906), which was significantly higher than any of the three indicators (all P < 0.05). CONCLUSION: ElastPQ is of great value in the diagnosis of early DKD. When combined with the diabetes duration and UAER, it is expected to diagnose accurately early DKD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article