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The application of new complex indicators in the detection of urine.
Li, Ying-Xiang; Li, Yang; Bao, Si-Yu; Xue, Ning; Ding, Xiao-Qiang; Fang, Yi.
Afiliação
  • Li YX; Department of Nephrology, Zhongshan Hospital, Fudan University, 111 Yixueyuan Road, Shanghai, 200032, China.
  • Li Y; Shanghai Key laboratory of Kidney and Blood Purification, Shanghai, 200032, China.
  • Bao SY; Department of Nephrology, Zhongshan Hospital, Fudan University, 111 Yixueyuan Road, Shanghai, 200032, China.
  • Xue N; Shanghai Medical Center of Kidney Disease, Shanghai, 200032, China.
  • Ding XQ; Shanghai Institute of Kidney Disease and Dialysis, Shanghai, 200032, China.
  • Fang Y; Shanghai Key laboratory of Kidney and Blood Purification, Shanghai, 200032, China.
BMC Nephrol ; 24(1): 45, 2023 02 27.
Article em En | MEDLINE | ID: mdl-36849937
ABSTRACT

BACKGROUND:

Accurate diagnosis and assessment of hematuria is crucial for the early detection of chronic kidney disease(CKD). As instability of urinary RBC count (URBC) often results with clinical uncertainty, therefore new urinary indexes are demanded to improve the accuracy of diagnosis of hematuria. In this study, we aimed to investigate the benefit of applying new complex indicators based on random urine red blood cell counts confirmed in hematuric kidney diseases.

METHODS:

All patients enrolled underwent renal biopsy, and their clinical information was collected. Urinary and blood biomedical indexes were implemented with red blood cell counts to derive complex indicators. Patients were divided into two groups (hematuria-dominant renal histologic lesions and non-hematuria-dominant renal histologic lesions) based on their renal pathological manifestations. The target index was determined by comparing the predictive capabilities of the candidate parameters for hematuric kidney diseases. Hematuria stratification was divided into four categories based on the scale of complex indicators and distributional features. The practicality of the new complex indicators was demonstrated by fitting candidate parameters to models comprising demographic information.

RESULTS:

A total of 1,066 cases (678 hematuria-dominant renal histologic lesions) were included in this study, with a mean age of 44.9 ± 15 years. In differentiating hematuria-dominant renal histologic lesion from the non-hematuria-dominant renal histologic lesion, the AUC value of "The ratio of the random URBC to 24-h albumin excretion" was 0.76, higher than the standard approach of Lg (URBC) [AUC = 0.744] (95% Confidence interval (CI) 0.712 ~ 0.776). The odds ratio of hematuria-dominant renal histologic lesion (Type I) increased from Q2 (3.81, 95% CI 2.66 ~ 5.50) to Q4 (14.17, 95% CI 9.09 ~ 22.72). The predictive model, composed of stratification of new composite indexes, basic demographic characteristics, and biochemical parameters, performed best with AUC value of 0.869 (95% CI 0.856-0.905).

CONCLUSION:

The new urinary complex indicators improved the diagnostic accuracy of hematuria and may serve as a useful parameter for screening hematuric kidney diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Líquidos Corporais / Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: BMC Nephrol Assunto da revista: NEFROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Líquidos Corporais / Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: BMC Nephrol Assunto da revista: NEFROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China