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Victoria-Castro AM, Corona-Villalobos CP, Xu AY, Onul I, Huynh C, Chen SW, Ugwuowo U, Sarkisova N, Dighe AL, Blank KN, Blanc VM, Rose MP, Himmelfarb J, de Boer IH, Tuttle KR, Roberts GV. Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project. Clin J Am Soc Nephrol 2023; 19:01277230-990000000-00271. [PMID: 37871973 PMCID: PMC10861112 DOI: 10.2215/cjn.0000000000000334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/16/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Kidney biopsies are procedures commonly performed in clinical nephrology and are increasingly used in research. In this study we aimed to evaluate the experiences of participants who underwent research kidney biopsies in the Kidney Precision Medicine Project (KPMP). METHODS KPMP research participants with acute kidney injury (AKI) or chronic kidney disease (CKD) were enrolled at nine recruitment sites in the United States between September 2019 to January 2023. At 28 days post-biopsy, participants were invited to complete a survey to share their experiences, including: motivation to participate in research; comprehension of informed consent; pain and anxiety during and after the biopsy procedure; overall satisfaction with KPMP participation; and impact of the study on their lives. The survey was developed in collaboration with the KPMP Community Engagement Committee and the Institute of Translational Health Sciences at the University of Washington. RESULTS 111 participants completed the survey, 23 enrolled for AKI and 88 for CKD. Median age was 61 (IQR 48-67) years, 43% were women, 28% were Black, and 18% were of Hispanic ethnicity. Survey respondents most commonly joined KPMP to help future patients (59%). The consent form was understood by 99% and 97% recognized their important role in the study. Pain during the biopsy was reported by 50%, at a median level of 1 (IQR 0-3) on a 0-10 scale. Anxiety during the biopsy was described by 64% at a median level of 3 (IQR 1-5) on a 0-10 scale. More than half conveyed that KPMP participation impacted their diet, physical activity, and how they think about kidney disease. CONCLUSIONS KPMP survey respondents were most commonly motivated to participate in research protocol kidney biopsies by altruism, with excellent understanding of the informed consent process.
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Grants
- R01 DK121019 NIDDK NIH HHS
- U01 DK114866 NIDDK NIH HHS
- U01 DK133090 NIDDK NIH HHS
- U01 DK114933 NIDDK NIH HHS
- U01 DK114908 NIDDK NIH HHS
- U01 DK133095 NIDDK NIH HHS
- U01 DK133081 NIDDK NIH HHS
- U01 DK114907 NIDDK NIH HHS
- U01 DK114920 NIDDK NIH HHS
- U24 DK114886 NIDDK NIH HHS
- U01 DK133766 NIDDK NIH HHS
- U01 DK114923 NIDDK NIH HHS
- U01 DK133113 NIDDK NIH HHS
- U01 DK133097 NIDDK NIH HHS
- U01DK133081, U01DK133091, U01DK133092, U01DK133093, U01DK133095, U01DK133097, U01DK114866, U01DK114908, U01DK133090, U01DK133113, U01DK133766, U01DK133768, U01DK114907, U01DK114920, U01DK114923, U01DK114933, U24DK114886. NIDDK NIH HHS
- U01 DK133768 NIDDK NIH HHS
- U01 DK133092 NIDDK NIH HHS
- U01 DK133091 NIDDK NIH HHS
- U01 DK133093 NIDDK NIH HHS
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Affiliation(s)
| | | | - Alan Y. Xu
- Division of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Ingrid Onul
- Boston Medical Center, Boston, Massachusetts
| | | | - Sarah W. Chen
- Kidney and Hypertension Unit, Joslin Diabetes Center, Boston, Massachusetts
| | - Ugochukwu Ugwuowo
- Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut
| | - Natalya Sarkisova
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ashveena L. Dighe
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Kristina N. Blank
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Victoria M. Blanc
- Office of Research, University of Michigan Medical School, Ann Arbor, Michigan
| | - Michael P. Rose
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Jonathan Himmelfarb
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ian H. de Boer
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Katherine R. Tuttle
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Glenda V. Roberts
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
- Kidney Precision Medicine Project Patient Partner, Seattle, Washington
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de Boer IH, Alpers CE, Azeloglu EU, Balis UGJ, Barasch JM, Barisoni L, Blank KN, Bomback AS, Brown K, Dagher PC, Dighe AL, Eadon MT, El-Achkar TM, Gaut JP, Hacohen N, He Y, Hodgin JB, Jain S, Kellum JA, Kiryluk K, Knight R, Laszik ZG, Lienczewski C, Mariani LH, McClelland RL, Menez S, Moledina DG, Mooney SD, O'Toole JF, Palevsky PM, Parikh CR, Poggio ED, Rosas SE, Rosengart MR, Sarwal MM, Schaub JA, Sedor JR, Sharma K, Steck B, Toto RD, Troyanskaya OG, Tuttle KR, Vazquez MA, Waikar SS, Williams K, Wilson FP, Zhang K, Iyengar R, Kretzler M, Himmelfarb J. Rationale and design of the Kidney Precision Medicine Project. Kidney Int 2021; 99:498-510. [PMID: 33637194 PMCID: PMC8330551 DOI: 10.1016/j.kint.2020.08.039] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/08/2020] [Accepted: 08/14/2020] [Indexed: 02/07/2023]
Abstract
Chronic kidney disease (CKD) and acute kidney injury (AKI) are common, heterogeneous, and morbid diseases. Mechanistic characterization of CKD and AKI in patients may facilitate a precision-medicine approach to prevention, diagnosis, and treatment. The Kidney Precision Medicine Project aims to ethically and safely obtain kidney biopsies from participants with CKD or AKI, create a reference kidney atlas, and characterize disease subgroups to stratify patients based on molecular features of disease, clinical characteristics, and associated outcomes. An additional aim is to identify critical cells, pathways, and targets for novel therapies and preventive strategies. This project is a multicenter prospective cohort study of adults with CKD or AKI who undergo a protocol kidney biopsy for research purposes. This investigation focuses on kidney diseases that are most prevalent and therefore substantially burden the public health, including CKD attributed to diabetes or hypertension and AKI attributed to ischemic and toxic injuries. Reference kidney tissues (for example, living-donor kidney biopsies) will also be evaluated. Traditional and digital pathology will be combined with transcriptomic, proteomic, and metabolomic analysis of the kidney tissue as well as deep clinical phenotyping for supervised and unsupervised subgroup analysis and systems biology analysis. Participants will be followed prospectively for 10 years to ascertain clinical outcomes. Cell types, locations, and functions will be characterized in health and disease in an open, searchable, online kidney tissue atlas. All data from the Kidney Precision Medicine Project will be made readily available for broad use by scientists, clinicians, and patients.
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Affiliation(s)
- Ian H de Boer
- Department of Medicine, University of Washington, Seattle, Washington, USA.
| | - Charles E Alpers
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - Evren U Azeloglu
- Department of Medicine, Icahn School of Medicine at Mt. Sinai, New York, New York, USA
| | - Ulysses G J Balis
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Laura Barisoni
- Department of Pathology, Duke University, Durham, North Carolina, USA
| | - Kristina N Blank
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Andrew S Bomback
- Department of Medicine, Columbia University, New York, New York, USA
| | - Keith Brown
- Patient Representative, Kidney Precision Medicine Project Steering Committee Member
| | - Pierre C Dagher
- Department of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Ashveena L Dighe
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Tarek M El-Achkar
- Department of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Joseph P Gaut
- Department of Pathology, Washington University School of Medicine, St. Louis, St. Louis, Missouri, USA
| | - Nir Hacohen
- Broad Institute, Cambridge, Massachusetts, USA
| | - Yongqun He
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Jeffrey B Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St. Louis, St. Louis, Missouri, USA
| | - John A Kellum
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Krzysztof Kiryluk
- Department of Medicine, Columbia University, New York, New York, USA
| | - Richard Knight
- American Association of Kidney Patients, Kidney Precision Medicine Project Patient Partner
| | - Zoltan G Laszik
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Chrysta Lienczewski
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Laura H Mariani
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Robyn L McClelland
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Steven Menez
- Department of Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Dennis G Moledina
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Sean D Mooney
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA
| | - John F O'Toole
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio, USA
| | - Paul M Palevsky
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Renal Section, Veterans Administration Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Chirag R Parikh
- Department of Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Emilio D Poggio
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Matthew R Rosengart
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Minnie M Sarwal
- Department of Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Jennifer A Schaub
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - John R Sedor
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio, USA
| | - Kumar Sharma
- Department of Medicine, UT Health San Antonio, San Antonio, Texas, USA
| | - Becky Steck
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Robert D Toto
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Olga G Troyanskaya
- Department of Computer Science, Princeton University, Princeton, New Jersey, USA
| | - Katherine R Tuttle
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Miguel A Vazquez
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Sushrut S Waikar
- Department of Medicine, Boston University Medical Center, Boston, Massachusetts, USA
| | - Kayleen Williams
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Francis Perry Wilson
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Kun Zhang
- Institute for Genomic Sciences, University of California, San Diego, California, USA
| | - Ravi Iyengar
- Mount Sinai Institute for Systems Biomedicine, Mount Sinai, New York, New York, USA
| | - Matthias Kretzler
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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3
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Poggio ED, McClelland RL, Blank KN, Hansen S, Bansal S, Bomback AS, Canetta PA, Khairallah P, Kiryluk K, Lecker SH, McMahon GM, Palevsky PM, Parikh S, Rosas SE, Tuttle K, Vazquez MA, Vijayan A, Rovin BH. Systematic Review and Meta-Analysis of Native Kidney Biopsy Complications. Clin J Am Soc Nephrol 2020; 15:1595-1602. [PMID: 33060160 PMCID: PMC7646247 DOI: 10.2215/cjn.04710420] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 07/21/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND OBJECTIVES Native kidney biopsies are commonly performed in the diagnosis of acute kidney diseases and CKD. Because of the invasive nature of the procedure, bleeding-related complications are not uncommon. The National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases-sponsored Kidney Precision Medicine Project requires that all participants undergo a kidney biopsy; therefore, the objective of this analysis was to study complication rates of native kidney biopsies performed using automated devices under kidney imaging. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS This is a systematic review and meta-analysis of the literature published from January 1983 to March 2018. The initial PubMed search yielded 1139 manuscripts. Using predetermined selection criteria, 87 manuscripts were included in the final analysis. A random effects meta-analysis for proportions was used to obtain combined estimates of complication rates. Freeman-Tukey double-arcsine transformations were used to stabilize variance as complications were rare. RESULTS A total of 118,064 biopsies were included in this study. Patient age ranged from 30 to 79 years, and 45% of patients were women. On the basis of our meta-analysis, pain at the site of biopsy is estimated to occur in 4.3% of biopsied patients, hematomas are estimated to occur in 11%, macroscopic hematuria is estimated to occur in 3.5%, bleeding requiring blood transfusions is estimated to occur in 1.6%, and interventions to stop bleeding are estimated to occur in only 0.3%. Death attributed to native kidney biopsy was a rare event, occurring only in an estimated 0.06% of all biopsies but only 0.03% of outpatient biopsies. Complication rates were higher in hospitalized patients and in those with acute kidney disease. The reported complications varied on the basis of study type and geographic location. CONCLUSIONS Although the native kidney biopsy is an invasive diagnostic procedure, the rates of bleeding complications are low. Albeit rare, death can occur postbiopsy. Complications are more frequently seen after kidney biopsies of hospitalized patients with AKI.
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Affiliation(s)
- Emilio D Poggio
- Department of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | - Robyn L McClelland
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Kristina N Blank
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Spencer Hansen
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Shweta Bansal
- Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas
| | - Andrew S Bomback
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York
| | - Pietro A Canetta
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York
| | - Pascale Khairallah
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York
| | - Stewart H Lecker
- Division of Nephrology and Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Gearoid M McMahon
- Division of Nephrology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Paul M Palevsky
- Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Samir Parikh
- Division of Nephrology, Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Sylvia E Rosas
- Kidney and Hypertension Unit, Joslin Diabetes Center, Boston, Massachusetts.,Nephrology Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Katherine Tuttle
- Division of Nephrology, Providence Medical Research Center, Sacred Heart Medical Center, Spokane, Washington
| | - Miguel A Vazquez
- Division of Nephrology, UT Southwestern Medical Center, Dallas, Texas
| | - Anitha Vijayan
- Division of Nephrology, Washington University in St. Louis, St. Louis, Missouri
| | - Brad H Rovin
- Division of Nephrology, Ohio State University Wexner Medical Center, Columbus, Ohio
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