Global Glomerulosclerosis in Kidney Biopsies With Differing Amounts of Cortex: A Clinical-Pathologic Correlation Study.


Journal

Kidney medicine
ISSN: 2590-0595
Titre abrégé: Kidney Med
Pays: United States
ID NLM: 101756300

Informations de publication

Date de publication:
Historique:
entrez: 28 7 2020
pubmed: 28 7 2020
medline: 28 7 2020
Statut: ppublish

Résumé

The number of glomeruli is often used to determine the adequacy of a kidney biopsy (eg, at least 10 glomeruli). It is often assumed that biopsy specimens with limited amounts of cortex are too imprecise for detection of focal pathology. Clinical-pathologic correlation (cross-sectional). Living kidney donors who underwent a needle core biopsy of their kidney at the time of donation. The amount of cortex biopsied as determined by either the number of glomeruli or area of cortex on histology. The percentage of globally sclerotic glomeruli, density of interstitial fibrosis foci, and severity of arteriosclerosis were determined. A beta-binomial model assessed how the mean percentage of globally sclerotic glomeruli and patient variability in percentage of globally sclerotic glomeruli differed with the number of glomeruli on the biopsy specimen. Additional models assessed the association of interstitial fibrosis and arteriosclerosis with number of glomeruli. There were 2,915 kidney donors studied. Fewer glomeruli on the biopsy specimen associated with higher mean percentage of globally sclerotic glomeruli and higher patient variability in percentage of globally sclerotic glomeruli. Smaller cortical volume on imaging correlated with both less cortex on biopsy and higher percentage of globally sclerotic glomeruli. Based on a statistical simulation, the probability of patient percentage of globally sclerotic glomeruli ≥ 10% if the biopsy percentage of globally sclerotic glomeruli is ≥10% (positive predictive value) was 45% with 1 to 9 glomeruli versus 31% with 10 or more glomeruli; the negative predictive value was 91% versus 98%. Fewer glomeruli also associated with more interstitial fibrosis and arteriosclerosis. The study was limited to living kidney donors. Patient variability in percentage of globally sclerotic glomeruli was based on a statistical model because multiple biopsy specimens per patient were not available. The amount of cortex on a needle core biopsy is not completely random. Chronic changes from loss of cortex contribute to low amounts of cortex on a kidney biopsy specimen.

Identifiants

pubmed: 32715288
doi: 10.1016/j.xkme.2019.05.004
pmc: PMC7380371
mid: NIHMS1062524
doi:

Types de publication

Journal Article

Langues

eng

Pagination

153-161

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK090358
Pays : United States

Déclaration de conflit d'intérêts

Financial Disclosure: The authors declare that they have no relevant financial interests.

Références

Ann Intern Med. 2010 May 4;152(9):561-7
pubmed: 20439574
Kidney Int. 2018 May;93(5):1175-1182
pubmed: 29273332
Clin J Am Soc Nephrol. 2010 Jan;5(1):39-44
pubmed: 19965542
J Am Soc Nephrol. 2017 Oct;28(10):2838-2844
pubmed: 28790143
BMC Nephrol. 2009 May 21;10:11
pubmed: 19460162
Kidney Int. 2014 Mar;85(3):677-85
pubmed: 24067437
Kidney Int. 1999 Feb;55(2):713-23
pubmed: 9987096
J Am Soc Nephrol. 2018 Aug;29(8):2213-2224
pubmed: 29866798
Kidney Int. 2009 May;75(10):1079-87
pubmed: 19212414
Am J Kidney Dis. 2016 Jul;68(1):58-67
pubmed: 26857648
J Vasc Interv Radiol. 2008 Apr;19(4):546-51
pubmed: 18375299
PLoS One. 2016 Jun 16;11(6):e0156441
pubmed: 27310011
Am J Transplant. 2017 Jan;17(1):140-150
pubmed: 27333454
J Am Soc Nephrol. 2017 Jan;28(1):313-320
pubmed: 27401688
Nephrol Dial Transplant. 2011 May;26(5):1559-63
pubmed: 20858764
Kidney Int. 2017 Apr;91(4):787-789
pubmed: 28314581
Transplantation. 2011 Nov 15;92(9):962-72
pubmed: 21959214
Nephrol Dial Transplant. 2010 Feb;25(2):485-9
pubmed: 19729468
Braz J Med Biol Res. 2016;49(4):e5301
pubmed: 27119314
Saudi J Kidney Dis Transpl. 2013 Jan;24(1):178-83
pubmed: 23354221
Kidney Int. 1993 Aug;44(2):411-22
pubmed: 8377384
Semin Dial. 2007 Jul-Aug;20(4):355-8
pubmed: 17635829

Auteurs

Robert S Niznik (RS)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Camden L Lopez (CL)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Walter K Kremers (WK)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Aleksandar Denic (A)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Sanjeev Sethi (S)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Mark D Stegall (MD)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Joshua J Augustine (JJ)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Andrew D Rule (AD)

Divisions of Nephrology and Hypertension (RSN, AD) and Biomedical Statistics and Informatics (CLL, WKK), and Departments of Laboratory Medicine and Pathology (SS) and Surgery (MDS), Mayo Clinic, Rochester, MN; Department of Nephrology, Cleveland Clinic, Cleveland, OH (JJA); and Division of Epidemiology, Mayo Clinic, Rochester, MN (ADR).

Classifications MeSH