| Literature DB >> 33426400 |
Angelo Karaboyas1, Friedrich K Port1, Ziad A Massy2, Francesco Locatelli3, Aleix Cases4, Kosaku Nitta5, Sophie Liabeuf6, Kitty J Jager7, Bruce M Robinson1,8.
Abstract
Entities:
Year: 2020 PMID: 33426400 PMCID: PMC7783558 DOI: 10.1016/j.ekir.2020.10.003
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Hemodialysis (HD) facility level distribution of long-acting erythropoiesis-stimulating agent (ESA) use, where facilities are characterized based on the proportion of ESA users who were prescribed a long-acting (darbepoetin and epoetin beta pegol) rather than a short-acting (epoetin) ESA. North America includes the United States and Canada; Europe includes Belgium, France, Germany, Italy, Spain, Sweden, and the United Kingdom.
Erythropoiesis-stimulating agent use and dose, by region
| Characteristic | North America | Japan | Europe |
|---|---|---|---|
| Patients, | 48,118 | 5547 | 12,041 |
| ESA type, % | |||
| Epoetin | 59 | 37 | 52 |
| Darbepoetin | 37 | 53 | 41 |
| Epoetin beta pegol | 4 | 9 | 7 |
| Mean dose per week | |||
| Epoetin, units | 16,532 | 4807 | 9991 |
| Darbepoetin, μg | 52 | 31 | 44 |
| Epoetin beta pegol, μg | 42 | 27 | 42 |
| Empirical dose conversion | |||
| EPO:darbepoetin | 320 | 153 | 228 |
| EPO:epoetin beta pegol | 390 | 181 | 240 |
EPO = epoetin alfa or beta; ESA = erythropoiesis-stimulating agent.
Subcutaneous EPO was converted to intravenous EPO at a ratio of 1:15:1.S6
The United States and Canada.
Belgium, France, Germany, Italy, Spain, Sweden, and the United Kingdom.
Hazard ratio (95% confidence interval) for all-cause mortality comparing long- versus short-acting erythropoiesis-stimulating agents
| Region | Long-acting, % | Model 1 unadjusted | Model 2 adjusted | Model 3 plus ESA dose | |
|---|---|---|---|---|---|
| Overall | 65,706 | 44% | 0.99 (0.91–1.07) | 0.93 (0.87–0.99) | 0.94 (0.88–1.00) |
| By region | |||||
| North America | 48,118 | 41% | 1.01 (0.91–1.13) | 0.91 (0.83–0.99) | 0.93 (0.86–1.02) |
| Japan | 5547 | 63% | 1.29 (1.03–1.61) | 1.15 (0.92–1.44) | 1.10 (0.88–1.38) |
| Europe | 12,041 | 48% | 0.86 (0.78–0.96) | 0.94 (0.85–1.03) | 0.92 (0.84–1.02) |
Cox regression models accounting for within-facility clustering using a using robust sandwich covariance estimator. All models stratified by Dialysis Outcomes and Practice Patterns Study phase, country, and dialysis organization size (within the United States). Model 2 adjusted for age, years on dialysis, sex, black race, catheter use, 13 comorbidities (Supplementary Table S1), albumin, creatinine, postdialysis weight, transferrin saturation, ferritin, and intravenous iron dose; an additional adjustment was made for C-reactive protein in Japan and Europe, where C-reactive protein is measured routinely.