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Urine testing to differentiate glomerular from tubulointerstitial diseases on kidney biopsy.
Tran, Anna C; Melchinger, Hannah; Weinstein, Jason; Shaw, Melissa; Kent, Candice; Perazella, Mark A; Wilson, F Perry; Parikh, Chirag R; Moledina, Dennis G.
Afiliação
  • Tran AC; Yale College, New Haven, CT, USA.
  • Melchinger H; Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Weinstein J; Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Shaw M; Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Kent C; Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Perazella MA; Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Wilson FP; Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Parikh CR; Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Moledina DG; Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Pract Lab Med ; 30: e00271, 2022 May.
Article em En | MEDLINE | ID: mdl-35465621
ABSTRACT

Background:

Differentiating between glomerular and tubulointerstitial diseases can guide selection of appropriate patients for kidney biopsy. The aim of this study is to identify urine tests that can differentiate between these histological diagnoses.

Methods:

In this sub-study of a prospectively enrolled cohort of participants with urine samples concurrent with their kidney biopsy, we tested the association of 24 features on urinalysis, urine sediment microscopy, and biomarkers of glomerular and tubular injury and inflammation with histological diagnosis of glomerular or tubulointerstitial disease. We selected a combination of features associated with glomerular disease using stepwise forward and backward regression, and LASSO algorithm after dividing the cohort into training (70%) and test (30%) sets.

Results:

Of 359 participants, 121 had glomerular, 89 had tubulointerstitial diseases, and 149 were classified as mixed. Compared to patients with tubulointerstitial diseases, those with glomerular diseases had more dipstick hematuria (3+ vs. 1+, P < 0.001) and urine albumin (1.25 vs. 0.09 mg/mg, P < 0.001). Patients with glomerular diseases had higher levels of tubular health biomarkers (Uromodulin, 1.22 vs. 0.92, P = 0.03). In a multivariable model, higher urine albumin, dipstick blood, and urine uromodulin were independently associated with higher odds of glomerular diseases (test set AUC, 0.81 (0.69, 0.93)).

Conclusion:

Urine tests, including urine albumin, dipstick blood, and urine uromodulin, were associated with the histological diagnosis of glomerular disease. These findings can help clinicians differentiate between glomerular and tubulointerstitial diseases and guide clinical decisions regarding a kidney biopsy.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Pract Lab Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Pract Lab Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos