| Literature DB >> 30373558 |
Jarcy Zee1, Junhui Zhao2, Lalita Subramanian2, Erica Perry3, Nicole Bryant4, Margie McCall4, Yanko Restovic4, Delma Torres4, Bruce M Robinson2, Ronald L Pisoni2, Francesca Tentori2,5.
Abstract
BACKGROUND: Patients reaching end-stage renal disease must make a difficult decision regarding renal replacement therapy (RRT) options. Because the choice between dialysis modalities should include patient preferences, it is critical that patients are engaged in the dialysis modality decision. As part of the Empowering Patients on Choices for RRT (EPOCH-RRT) study, we assessed dialysis patients' perceptions of their dialysis modality decision-making process and the impact of their chosen modality on their lives.Entities:
Keywords: Dialysis modality; End-stage renal disease; Hemodialysis; Peritoneal dialysis; Renal replacement therapy
Mesh:
Year: 2018 PMID: 30373558 PMCID: PMC6206892 DOI: 10.1186/s12882-018-1096-x
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1Recruitment of Study Participants
Patient characteristics, by dialysis modality
| Variable | PD ( | HD ( |
|---|---|---|
| Patient age, mean (SD) years | 59.9 (15.0) | 63.0 (14.5) |
| Male | 53.9% | 57.4% |
| Race | ||
| White | 70.2% | 59.5% |
| Black | 23.0% | 35.8% |
| Other | 6.8% | 4.7% |
| Time on dialysis | ||
| 0 to < 6 months | 5.6% | 6.2% |
| 6 to < 12 months | 11.4% | 8.6% |
| 12 to < 36 months | 46.1% | 31.1% |
| 36+ months | 30.6% | 54.1% |
| Diabetes | 41% | 43.3% |
aOne PD patient and 9 HD patients were missing demographic data
Fig. 2Involvement of family and peers in the dialysis modality decision. Patients who reported not applicable (range: 3% for nephrologist to 35% for peer and 47% for adult child/children) were excluded from the relevant question. *Adjusted differences in the degree of involvement of family members and peers between PD and in-center HD patients. Estimates from linear mixed regression models adjusted for age, sex, black race, time on dialysis, and diabetes, and accounting for facility clustering
Fig. 3Patients’ self-reported experience and satisfaction with the dialysis modality decision. *Difference in probability and 95% confidence interval (CI) of agreement with each statement comparing PD vs. in-center HD. Estimates from logistic GEE model adjusted for age, sex, black race, time on dialysis, and diabetes, and accounting for facility clustering. Adjusted differences in predicted probabilities were calculated for a white, non-diabetic male of average age and average vintage
Fig. 4Effect of dialysis on patient-centered outcomes. Patients who reported not applicable (range: 1% to 9%) were excluded from the relevant question. * Difference in probability and 95% confidence interval (CI) of a large impact of dialysis on each factor comparing PD vs. in-center HD. Estimates from logistic GEE model adjusted for age, sex, black race, time on dialysis, and diabetes, and accounting for facility clustering. Adjusted differences in predicted probabilities were calculated for a white, non-diabetic male of average age and average vintage