| Literature DB >> 35372821 |
Kelli Collins Damron1, Robert Friedman2, Lesley A Inker3, Aliza Thompson4, Morgan E Grams5, Hrefna Guðmundsdóttir6, Kerry Willis1, Tom Manley1, Hiddo L Heerspink7, Daniel E Weiner3.
Abstract
Rationale & Objective: With a growing number of medications and therapies available to treat chronic kidney disease (CKD), risk-versus-benefit discussions are increasingly critical. Balancing risks and benefits requires assessing patients' understanding of these, as well as incorporating patient preferences and tolerance for side effects into shared decision making. Study Design: A 26-question online survey was sent to people in the National Kidney Foundation patient email list and posted on associated social media pages to assess the respondents' willingness and comfort with taking preventative medications during earlier-stage CKD to inform a December 2020 scientific workshop co-sponsored by the National Kidney Foundation and the US Food and Drug Administration on clinical trial considerations in developing treatments for individuals with early stages of CKD. Setting & Population: Online survey of CKD patients, including broad demographic data and responses to risk-benefit scenarios, with surveys emailed to 20,249 people not identified as currently receiving kidney replacement therapy. Analytical Approach: Survey results are presented as descriptive data.Entities:
Keywords: Chronic kidney disease; early-stage CKD; kidney failure; medication; patient engagement; risk prediction
Year: 2022 PMID: 35372821 PMCID: PMC8967726 DOI: 10.1016/j.xkme.2022.100442
Source DB: PubMed Journal: Kidney Med ISSN: 2590-0595
Characteristics by Respondent Self-Identified CKD Status
| At Risk for CKD (n=45) | Have CKD (n=566) | Kidney Transplant (n=267) | Dialysis (n=51) | Other | Total (n=1,029) | |
|---|---|---|---|---|---|---|
| Kidney disease causes | ||||||
| Diabetic kidney disease | 0.8% (8) | 9.0% (93) | 2.7% (28) | 1.1% (11) | 0.0% | 13.6% (140) |
| Polycystic kidney disease | 0.2% (2) | 6.3% (65) | 5.3% (55) | 1.1% (11) | 0.0% | 12.9% (133) |
| Glomerulonephritis | 0.2% (2) | 6.7% (69) | 9.3% (96) | 1.3% (13) | 0.0% | 17.5% (180) |
| Other | 1.9% (20) | 25.1% (258) | 8.5% (87) | 1.6% (16) | 1.7% (18) | 38.8% (399) |
| Blank | 1.5% (15) | 10.9% (112) | 1.6% (16) | 0.6% (6) | 8.0% (82) | 22.4% (231) |
| Total | 4.6% (47) | 58.0% (597) | 27.4% (282) | 5.5% (57) | 9.7% (100) | 105.2% |
| eGFR, mL/min/1.73m2 | ||||||
| 90+ | 0.9% (9) | 0.7% (7) | NA | NA | 1.1% (11) | 2.6% (27) |
| 60-89 | 1.2% (12) | 4.3% (44) | NA | NA | 0.7% (6) | 6.1% (63) |
| 45-59 | 0.7% (7) | 14.1% (145) | NA | NA | 0.2% (2) | 15.0% (154) |
| 30-44 | 0.6% (6) | 13.6% (140) | NA | NA | 0.3% (2) | 14.5% (149) |
| 15-29 | 0.0% | 13.9% (143) | NA | NA | 0.5% (2) | 14.4% (148) |
| <15, nondialysis | 0.1% (1) | 3.5% (36) | NA | NA | 0.1% (1) | 3.7% (38) |
| Unsure | 0.9% (9) | 3.6% (37) | NA | NA | 0.6% (6) | 5.1% (52) |
| Missing | 0.1% (1) | 1.4% (14) | 25.5% (262) | 4.9% (50) | 6.9% (71) | 38.7% (398) |
| Total | 4.4% (45) | 55.0% (566) | 25.5% (267) | 4.9% (51) | 10.3% (100) | 100.0% |
| Urine ACR | ||||||
| <30 mg/g | 1.1% (11) | 12.7% (131) | NA | NA | 1.0% (8) | 14.8% (152) |
| 30-300 mg/g | 0.1% (1) | 8.3% (85) | NA | NA | 0.4% (2) | 8.8% (90) |
| >300 mg/g | 0.2% (2) | 3.1% (32) | NA | NA | 0.0% | 3.3% (34) |
| Unsure | 2.8% (29) | 28.2% (290) | NA | NA | 2.0% (17) | 33.0% (339) |
| Blank | 0.2% (2) | 2.7% (28) | 25.5% (262) | 4.8% (49) | 7.1% (73) | 40.2% (414) |
| Total | 4.4% (45) | 55.0% (567) | 25.5% (269) | 4.8% (54) | 10.5% (104) | 100.1% |
| Risk factors | ||||||
| Diabetes | 1.3% (13) | 12.2% (126) | NA | NA | 0.5% (3) | 14.0% (144) |
| Heart condition | 0.7% (7) | 9.4% (97) | NA | NA | 0.3% (1) | 10.4% (107) |
| Overweight or obese | 1.5% (15) | 19.0% (195) | NA | NA | 0.8% (7) | 21.2% (218) |
| High blood pressure | 2.7% (28) | 37.3% (384) | NA | NA | 1.4% (14) | 41.4% (426) |
| Sickle cell disease | 0.1% (1) | 0.2% (2) | NA | NA | 0.0% | 0.3% (3) |
| Kidney cancer | 0.4% (4) | 1.7% (18) | NA | NA | 0.4% (4) | 2.5% (26) |
| HIV or AIDS | 0.0% | 0.0% | NA | NA | 0.0% | 0.0% |
| Other | 0.6% (6) | 8.6% (88) | NA | NA | 1.1% (11) | 10.2% (105) |
| Blank | 0.2% (2) | 5.9% (61) | 25.5% (262) | 4.8% (49) | 7.2% (74) | 43.5% (448) |
| Total | 7.4% (76) | 94.4% (971) | 26.3% (271) | 5.1% (52) | 10.4% (107) | 143.5% |
| Age, y | ||||||
| 18-44 | 0.3% (3) | 3.7% (38) | 2.0% (21) | 0.5% (5) | 0.4% (4) | 6.9% (71) |
| 45-54 | 0.3% (3) | 4.6% (47) | 5.2% (53) | 0.5% (5) | 0.1% (1) | 10.6% (109) |
| 55-64 | 1.1% (11) | 9.4% (97) | 7.7% (79) | 1.1% (11) | 0.6% (6) | 19.8% (204) |
| 65-75 | 1.2% (12) | 19.7% (203) | 6.4% (66) | 1.3% (13) | 0.6% (6) | 29.2% (300) |
| 76-85 | 0.5% (5) | 7.9% (81) | 0.6% (6) | 0.7% (7) | 0.5% (5) | 10.1% (104) |
| 85+ | 0.1% (1) | 1.6% (16) | 0.0% | 0.0% | 0.1% (1) | 1.7% (18) |
| Unanswered | 1.0% (10) | 8.2% (80) | 4.1% (42) | 1.0% (10) | 7.5% (77) | 21.3% (223) |
| Total | 4.4% (45) | 55.0% (566) | 25.9% (267) | 5.0% (51) | 9.7% (100) | 100.0% |
| Gender | ||||||
| Male | 1.1% (11) | 14.9% (153) | 10.1% (104) | 1.7% (17) | 0.9% (9) | 28.6% (294) |
| Female | 2.3% (24) | 31.6% (325) | 11.8% (121) | 2.3% (24) | 1.5% (15) | 49.5% (509) |
| Unanswered | 1.0% (10) | 8.6% (88) | 4.1% (42) | 1.0% (10) | 7.4% (76) | 22.0% (226) |
| Total | 4.4% (45) | 55.0% (566) | 25.9% (267) | 5.0% (51) | 9.7% (100) | 100.0% |
| Race | ||||||
| White | 2.2% (23) | 40.8% (420) | 16.9% (174) | 3.3% (34) | 2.0% (21) | 65.3% (672) |
| Black or African American | 0.6% (6) | 2.9% (30) | 3.3% (34) | 0.5% (5) | 0.1% (1) | 7.4% (76) |
| Asian American | 0.1% (1) | 1.3% (13) | 0.2% (2) | 0.1% (1) | 0.0% | 1.7% (17) |
| American Indian or Alaska Native | 0.1% (1) | 0.3% (3) | 0.9% (9) | 0.0% | 0.0% | 1.3% (13) |
| Native Hawaiian or Pacific Islander | 0.0% | 0.0% | 0.1% (1) | 0.0% | 0.0% | 0.1% (1) |
| Other | 0.4% (4) | 1.7% (18) | 1.1% (11) | 0.2% (2) | 0.2% (2) | 3.6% (37) |
| Unanswered | 1.1% (11) | 9.1% (93) | 4.4% (45) | 1.0% (10) | 7.4% (76) | 22.9% (16) |
| Total | 4.5% (46) | 56.1% (577) | 26.8% (276) | 5.1% (52) | 9.7% (100) | 102.1% |
| Ethnicity | ||||||
| Hispanic or Latino | 0.3% (3) | 2.1% (22) | 1.4% (14) | 0.3% (3) | 0.2% (2) | 4.3% (44) |
| Non-Hispanic or Latino | 2.9% (39) | 43.5% (448) | 20.1% (207) | 3.7% (38) | 2.0% (21) | 72.3% (744) |
| Unanswered | 1.2% (12) | 9.4% (96) | 4.5% (46) | 1.0% (10) | 7.5% (77) | 23.5% (241) |
| Total | 4.4% (45) | 55.0% (566) | 25.9% (267) | 5.0% (51) | 9.7% (100) | 100.0% |
| Marital status | ||||||
| Single or never married | 0.5% (5) | 4.7% (48) | 2.9% (30) | 0.8% (8) | 0.3% (3) | 9.1% (94) |
| Married or living together | 1.9% (20) | 28.7% (295) | 15.5% (159) | 2.2% (23) | 1.2% (12) | 49.5% (509) |
| Divorced or separated | 0.5% (5) | 8.7% (89) | 2.1% (22) | 0.5% (5) | 0.6% (6) | 12.4% (127) |
| Widowed | 0.3% (3) | 4.0% (41) | 1.2% (12) | 0.4% (4) | 0.2% (2) | 6.0% (62) |
| Unanswered | 1.2% (12) | 9.1% (93) | 4.3% (44) | 1.1% (11) | 7.5% (77) | 23.1% (237) |
| Total | 4.4% (45) | 55.0% (566) | 25.9% (267) | 5.0% (51) | 9.7% (100) | 100.0% |
| Education | ||||||
| Non-high-school graduate | 0.1% (1) | 0.5% (5) | 0.1% (1) | 0.2% (2) | 0.0% | 0.9% (9) |
| High-school graduate or GED | 0.4% (4) | 5.3% (55) | 2.2% (23) | 0.7% (7) | 0.2% (2) | 8.8% (91) |
| Some college or Associate Degree | 1.3% (13) | 15.4% (158) | 7.1% (73) | 1.7% (17) | 0.7% (7) | 26.0% (268) |
| College graduate | 0.7% (7) | 12.0% (123) | 6.8% (70) | 0.9% (9) | 0.9% (9) | 21.2% (218) |
| Advanced degree | 0.8% (8) | 12.9% (133) | 5.5% (57) | 0.5% (5) | 0.5% (5) | 20.2% (208) |
| Unanswered | 1.2% (12) | 9.0% (92) | 4.2% (43) | 1.1% (11) | 7.5% (77) | 22.9% (235) |
| Total | 4.4% (45) | 55.0% (566) | 25.9% (267) | 5.0% (51) | 9.7% (100) | 100.0% |
| Employment | ||||||
| Full-time employed | 0.9% (9) | 9.0% (93) | 7.2% (74) | 0.8% (8) | 0.8% (8) | 18.7% (192) |
| Part-time employed | 0.4% (4) | 2.4% (25) | 2.2% (23) | 0.1% (1) | 0.1% (1) | 5.2% (54) |
| Student, homemaker, or volunteer | 0.1% (1) | 3.8% (39) | 2.0% (20) | 0.0% | 0.0% | 5.8% (60) |
| Retired or disabled | 2.1% (21) | 31.4% (323) | 10.7% (110) | 3.1% (31) | 1.4% (14) | 48.5% (499) |
| Unemployed | 0.1% (1) | 1.3% (13) | 1.2% (12) | 0.1% (1) | 0.0% | 2.6% (27) |
| Unanswered | 1.0% (10) | 9.8% (100) | 4.5% (26) | 1.0% (10) | 7.6% (78) | 23.7% (244) |
| Total | 4.5% (46) | 57.6% (593) | 27.7% (285) | 5.0% (51) | 9.8% (101) | 104.6% |
| Family history of CKD | ||||||
| Yes | 1.3% (13) | 16.0% (165) | 9.7% (100) | 2.2% (23) | 0.6% (6) | 29.8% (307) |
| No | 2.4% (25) | 34.5% (355) | 15.3% (157) | 2.3% (24) | 1.9% (20) | 56.5% (581) |
| Unknown | 0.6% (6) | 3.8% (39) | 0.9% (9) | 0.4% (4) | 0.2% (2) | 5.8% (60) |
| Unanswered | 0.1% (1) | 0.7% (7) | 0.1% (1) | 0.0% | 7.0% (72) | 7.9% (81) |
| Total | 4.4% (45) | 55.0% (566) | 25.9% (267) | 5.0% (51) | 9.7% (100) | 100.0% |
Note: Varying sizes of the “total” rows indicate different response sizes for questions, and a total >100% indicates multiple responses were allowed. “Unanswered” includes items left blank and those in which “prefer not to answer” was indicated. The eGFR, ACR, and comorbid conditions were not queried among respondents with a kidney transplant or receiving dialysis.
Abbreviations: ACR, albumin-creatinine ratio; AIDS, acquired immunodeficiency syndrome; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; NA, not applicable.
“Other” includes family members, kidney cancer, and kidney cyst patients.
Figure 1Responses to scenario 1, regarding the likelihood of taking a new medication to prevent kidney failure. Scenario 1 stated, “Your doctor says that there is a new medication which can reduce your chance of developing kidney failure. Please tell us your likelihood of taking this medication under the following circumstances.”
Figure 2Responses to scenario 2, regarding symptoms that would impact medication willingness. Scenario 2 stated, “If your doctor told you that you have a 20% chance of developing kidney failure over 5 years, how likely would you be to take a drug that has the following side effects or concerns?” More frequent appointments and blood tests refer to approximately every 3 months. Abbreviation: UTI, urinary tract infection.
Figure 3Responses to scenario 3, regarding willingness to continue use if side effects occurred. Scenario 3 stated, “Imagine that you have started the medication. You notice that the side effects of the new drug are worse than you thought they would be. You talk to your doctor, and your doctor goes over the clinical evidence with you. You are convinced that the data show that the drug would significantly slow or prevent the progression of your kidney disease and that this will lead to a better quality of life down the road. How likely would you be to take this drug?”
Responses to the Question “How Important Are Each of the Following to You When Deciding to Select a New Drug?”
| Not Important | Important | Very Important | |
|---|---|---|---|
| The drug is a pill that can be taken by mouth | 28.2% (230) | 36.7% (303) | 35.1% (287) |
| How often you take the drug | 47.2% (376) | 38.9% (314) | 13.9% (114) |
| Number of side effects known for the drug | 6.5% (52) | 51.5% (423) | 42% (342) |
| Severity of side effects known for drug | 3.3% (26) | 36.1% (288) | 60.6% (489) |
| Cost and/or if covered by insurance | 9.8% (79) | 32.3% (267) | 57.9% (474) |
| What your physician recommends | 3.2% (25) | 41.4% (330) | 55.4% (443) |