| Literature DB >> 25874087 |
Chamberlain I Obialo1, William C Hunt2, Khalid Bashir1, Phillip G Zager2.
Abstract
BACKGROUND: The relationship of missed and shortened hemodialysis (HD) to clinical outcomes has not been well characterized in HD patients in the USA. Here we explored the frequency of missed and shortened treatments and their impact on mortality and hospitalization.Entities:
Keywords: adherence; hospitalization; missed/shortened hemodialysis; mortality
Year: 2012 PMID: 25874087 PMCID: PMC4393476 DOI: 10.1093/ckj/sfs071
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Baseline demographic variables for the cohort
| (%) | ||
|---|---|---|
| Total | 15 340 | 100.0 |
| Age Categories | ||
| <45 | 2061 | 13.4 |
| 45–54 | 2510 | 16.4 |
| 55–64 | 3530 | 23.0 |
| 65–74 | 3565 | 23.2 |
| 75–84 | 2824 | 18.4 |
| 85+ | 850 | 5.5 |
| Female | 6951 | 45.3 |
| Male | 8389 | 54.7 |
| Non-Hispanic white | 7394 | 48.2 |
| Hispanic | 920 | 6.0 |
| African American | 6274 | 40.9 |
| Native American | 288 | 1.9 |
| Asian | 297 | 1.9 |
| Other race | 159 | 1.1 |
| Diabetes | 6614 | 43.1 |
| HTN | 4188 | 27.3 |
| GN | 1652 | 10.8 |
| Other cause | 2886 | 18.8 |
Comparison of the percent of treatment missed and shortened according to race/ethnicitya
| Race/ethnicity | AA | NA | Hispanic | NHW | Asian |
|---|---|---|---|---|---|
| Missed treatments | 3.1* | 2.9* | 2.8* | 1.8 | 0.9* |
| Shortened treatments | 18.4* | 15.0* | 17.0* | 12.6 | 8.9* |
aAA, African American; NA, Native American; NHW, Non-Hispanic white.
*P< 0.0001 versus NHW.
Comparison of the percent of treatments missed or shortened according to the dialysis treatment schedulea
| Dialysis schedule | MWF | TTS | |
|---|---|---|---|
| Missed treatments (%) | 2.1 | 2.9 | <0.0001 |
| Shortened treatments (%) | 14.9 | 16.4 | <0.0001 |
| Missed treatments (OR) | 1.0 (Ref) | 1.33 | 1.24–1.43 |
| Shortened treatments (OR) | 1.0 (Ref) | 1.13 | 1.08–1.18 |
aAlso shown are ORs with 95% confidence intervals for the odds of missing or shortening ≥ 1 treatment during the month.
MWF, Monday/Wednesday/Friday; TTS, Tuesday/Thursday/Saturday.
Fig. 1.The percent of missed dialysis treatments by the day of the week; comparisons among all days of the week were significant (P < 0.0001), except Monday versus Friday (P < 0.05). The observations were similar for shortened treatments.
Fig. 2.The relationship between age categories and missed dialysis treatments; ORs and 95% CIs for ≥1 missed treatments during the month using 55–64 years as the reference age category are shown.
Comparison of the percent of treatments shortened according to the age categorya
| Age category | % Shortened | OR | 95% CI |
|---|---|---|---|
| <45 | 23.9 | 1.7 | 1.57–1.83 |
| 45–54 | 20.3 | 1.3 | 1.22–1–39 |
| 55–64 | 15.9 | 1.0 | Ref |
| 65–74 | 12.0 | 0.79 | 0.75–0.84 |
| 75–84 | 9.5 | 0.66 | 0.62–0.7 |
| ≥85 | 7.4 | 0.51 | 0.47–0.56 |
aAlso shown are ORs with 95% confidence intervals for the odds of shortening ≥1 treatment during the month.
Fig. 3.The escalating effects of the number of missed or shortened dialysis treatments in the previous month on age-adjusted mortality rates.
Fig. 4.The escalating effects of the number of missed or shortened dialysis treatments in the previous month on age-adjusted hospitalization rates.