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Implementation and Feasibility of Clinical Genome Sequencing Embedded Into the Outpatient Nephrology Care for Patients With Proteinuric Kidney Disease.
Marasa, Maddalena; Ahram, Dina F; Rehman, Atteeq U; Mitrotti, Adele; Abhyankar, Avinash; Jain, Namrata G; Weng, Patricia L; Piva, Stacy E; Fernandez, Hilda E; Uy, Natalie S; Chatterjee, Debanjana; Kil, Byum H; Nestor, Jordan G; Felice, Vanessa; Robinson, Dino; Whyte, Dilys; Gharavi, Ali G; Appel, Gerald B; Radhakrishnan, Jai; Santoriello, Dominick; Bomback, Andrew; Lin, Fangming; D'Agati, Vivette D; Jobanputra, Vaidehi; Sanna-Cherchi, Simone.
Afiliación
  • Marasa M; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Ahram DF; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Rehman AU; The New York Genome Center, New York, USA.
  • Mitrotti A; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Abhyankar A; The New York Genome Center, New York, USA.
  • Jain NG; Division of Pediatric Nephrology, Department of Pediatrics, Columbia University, New York, USA.
  • Weng PL; Division of Pediatric Nephrology, Department of Pediatrics, UCLA Medical Center and UCLA Medical Center-Santa Monica, Los Angeles, California, USA.
  • Piva SE; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Fernandez HE; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Uy NS; Division of Pediatric Nephrology, Department of Pediatrics, Columbia University, New York, USA.
  • Chatterjee D; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Kil BH; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Nestor JG; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Felice V; The New York Genome Center, New York, USA.
  • Robinson D; The New York Genome Center, New York, USA.
  • Whyte D; Pediatric Specialty Center of Good Samaritan Hospital Medical Center, Babylon, New York, USA.
  • Gharavi AG; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Appel GB; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Radhakrishnan J; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Santoriello D; Department of Pathology and Cell Biology, Renal Pathology Division, Columbia University Medical Center, New York, USA.
  • Bomback A; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Lin F; Division of Pediatric Nephrology, Department of Pediatrics, Columbia University, New York, USA.
  • D'Agati VD; Department of Pathology and Cell Biology, Renal Pathology Division, Columbia University Medical Center, New York, USA.
  • Jobanputra V; The New York Genome Center, New York, USA.
  • Sanna-Cherchi S; Department of Pathology and Cell Biology, Columbia University, New York, USA.
Kidney Int Rep ; 8(8): 1638-1647, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37547535
Introduction: The diagnosis and management of proteinuric kidney diseases such as focal segmental glomerulosclerosis (FSGS) are challenging. Genetics holds the promise to improve clinical decision making for these diseases; however, it is often performed too late to enable timely clinical action and it is not implemented within routine outpatient nephrology visits. Methods: We sought to test the implementation and feasibility of clinical rapid genome sequencing (GS) in guiding decision making in patients with proteinuric kidney disease in real-time and embedded in the outpatient nephrology setting. Results: We enrolled 10 children or young adults with biopsy-proven FSGS (9 cases) or minimal change disease (1 case). The mean age at enrollment was 16.2 years (range 2-30). The workflow did not require referral to external genetics clinics but was conducted entirely during the nephrology standard-of-care appointments. The total turn-around-time from enrollment to return-of-results and clinical decision averaged 21.8 days (12.4 for GS), which is well within a time frame that allows clinically relevant treatment decisions. A monogenic or APOL1-related form of kidney disease was diagnosed in 5 of 10 patients. The genetic findings resulted in a rectified diagnosis in 6 patients. Both positive and negative GS findings determined a change in pharmacological treatment. In 3 patients, the results were instrumental for transplant evaluation, donor selection, and the immunosuppressive treatment. All patients and families received genetic counseling. Conclusion: Clinical GS is feasible and can be implemented in real-time in the outpatient care to help guiding clinical management. Additional studies are needed to confirm the cost-effectiveness and broader utility of clinical GS across the phenotypic and demographic spectrum of kidney diseases.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Kidney Int Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Kidney Int Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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