| Literature DB >> 29725645 |
Dennis G Moledina1,2, Bettina Cheung1,2, Lidiya Kukova1,2, Randy L Luciano1, Aldo J Peixoto1, F Perry Wilson1,2,3, Sandra Alfano4, Chirag R Parikh1,2,3.
Abstract
INTRODUCTION: As part of the precision medicine initiative, the National Institutes of Health/National Institute of Diabetes and Digestive Kidney Diseases has proposed collecting human kidney tissue to discover novel therapeutic targets from patients with kidney diseases. Patient attitudes on participating in kidney biopsy-based research are largely unknown.Entities:
Keywords: acute kidney injury; biopsy; chronic kidney disease; kidney diseases; survey
Year: 2017 PMID: 29725645 PMCID: PMC5932306 DOI: 10.1016/j.ekir.2017.11.008
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Participants’ willingness to allow an additional biopsy pass during a clinically indicated biopsy.
Determinants of participation in biopsy-based kidney research
| Characteristic | Additional pass to donate tissue to research | ||
|---|---|---|---|
| Yes (n = 85) | No (n = 32) | ||
| Demographics and comorbidities | |||
| Age, yr | 54 (43, 65) | 64 (51, 72) | 0.02 |
| Female sex | 42 (49%) | 17 (53%) | 0.72 |
| Race/ethnicity | 0.008 | ||
| White, non-Hispanic | 50 (59%) | 14 (44%) | |
| Black, non-Hispanic | 17 (20%) | 16 (50%) | |
| Hispanic | 12 (14%) | 2 (6%) | |
| Other or unknown | 6 (7%) | 0 (0%) | |
| Site | 0.71 | ||
| York Street | 64 (75%) | 23 (72%) | |
| St. Raphael’s | 21 (25%) | 9 (28%) | |
| Comorbidities | |||
| Diabetes | 25 (29%) | 8 (25%) | 0.64 |
| Hypertension | 63 (74%) | 26 (81%) | 0.42 |
| Chronic kidney disease | 49 (58%) | 19 (59%) | 0.87 |
| Congestive heart failure | 9 (11%) | 6 (19%) | 0.24 |
| Biopsy-related factors | |||
| Indication for biopsy | |||
| Acute kidney injury | 26 (31%) | 11 (34%) | 0.19 |
| Acute kidney disease | 41 (48%) | 10 (31%) | |
| Progressive chronic kidney disease | 18 (21%) | 11 (34%) | |
| Location of biopsy | |||
| Inpatient | 31 (36%) | 14 (44%) | 0.47 |
| Outpatient | 54 (64%) | 18 (56%) | |
| Type of imaging guidance | 0.67 | ||
| Computed tomography | 28 (33%) | 13 (41%) | |
| Ultrasonography | 54 (64%) | 19 (59%) | |
| Fluoroscopy | 1 (1%) | 0 (0%) | |
| Level of training of operator | 0.08 | ||
| Attending physician | 57 (67%) | 16 (50%) | |
| Fellow or resident | 27 (32%) | 16 (50%) | |
| Department of operator | 0.90 | ||
| Nephrology | 51 (60%) | 19 (59%) | |
| Radiology | 33 (39%) | 13 (41%) | |
| Number of biopsy passes | 3 (2, 3) | 3 (2, 3) | 0.63 |
| Number of cores obtained | 2 (2, 3) | 2 (2, 3) | 0.91 |
| Survey-related factors | |||
| Time from biopsy to survey, mo | 9 (5, 13) | 8 (5, 13) | 0.75 |
| <6 mo | 24 (28%) | 13 (41%) | 0.24 |
| 6−12 mo | 35 (41%) | 8 (25%) | |
| >12 mo | 26 (31%) | 11 (34%) | |
| Number of times contacted for survey | 2 (1, 2) | 2 (1, 2.5) | 0.76 |
| Type of contact | 0.26 | ||
| In-person | 8 (9%) | 1 (3%) | |
| Telephone call | 77 (91%) | 31 (97%) | |
| Postbiopsy complications | |||
| Pain during biopsy | 2 (1, 4) | 1 (1, 3.5) | 0.28 |
| Anxiety at the time of biopsy | 2 (1, 6) | 3 (1, 7) | 0.43 |
| Hematuria after biopsy | 8 (9%) | 1 (3%) | 0.27 |
n (%) or Median (interquartile range) reported.
Wilcoxon rank-sum test or χ2 test.
Figure 2Association of prebiopsy factors with willingness to participate in biopsy-based kidney research. Multivariable logistic model showing association of pre-biopsy factors with willingness to allow additional pass during clinically indicated biopsy to donate kidney tissue to research. Hosmer−Lemeshow goodness-of-fit P value (with 10 groups) = 0.94; area under the curve of the model = 0.78 (0.67−0.88). Adjusted odds ratios (square boxes) and 95% confidence intervals (whiskers) are shown. AKI, acute kidney injury; AKD, acute kidney disease; CKD, chronic kidney disease.