Effect of centre‐ and patient‐related factors on uptake of haemodiafiltration in Australia and New Zealand: A cohort study using ANZDATA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Background The use of haemodiafiltration (HDF) for the management of patients with end‐stage kidney failure is increasing worldwide. Factors associated with HDF use have not been studied and may vary in different countries and jurisdictions. The aim of this study was to document the pattern of increase and variability in uptake of HDF in Australia and New Zealand, and to describe patient‐ and centre‐related factors associated with its use. Methods Using the Australian and New Zealand Dialysis and Transplant Registry, all incident patients commencing haemodialysis (HD) between 2000 and 2014 were included. The primary outcome was HDF commencement over time, which was evaluated using multivariable logistic regression stratified by country. Results Of 27 433 patients starting HD, 3339 (14.4%) of 23 194 patients in Australia and 810 (19.1%) of 4239 in New Zealand received HDF. HDF uptake increased over time in both countries but was more rapid in New Zealand than Australia. In Australia, HDF use was more likely in males (odds ratio (OR) 1.13, 95% confidence interval (CI) = 1.03–1.24, P = 0.009) and less likely with older age (reference <40 years; 40–54 years OR = 0.85; 95% CI = 0.72–0.99; 55–69 years OR = 0.79; 95% CI = 0.67–0.91; >70 years OR = 0.48; 95% CI = 0.41–0.56); higher body mass index (body mass index (BMI) < 18.5 kg/m 2 OR = 0.62; 95% CI = 0.46–0.84; 18.5–29.9 kg/m 2 reference; >30 kg/m 2 OR = 1.46; 95% CI = 1.33–1.61), chronic lung disease (OR = 0.84; 95% CI = 0.76–0.94; P < 0.001), cerebrovascular disease (OR = 0.76; 95% CI = 0.67–0.85; P < 0.001) and peripheral vascular disease (OR = 0.77; 95% CI = 0.70–0.85; P < 0.001). No association was identified with race. In New Zealand, HDF use was more likely in Maori and Pacific Islanders (OR = 1.32; 95% CI = 1.05–1.66) and Asians (OR = 1.75; 95% CI = 1.15–2.68) compared to Caucasians, and less likely in males (OR = 0.76; 95% CI = 0.62–0.94; P = 0.01). No association was identified with BMI or co‐morbidities. In both countries, centres with a higher ratio of HD to peritoneal dialysis (PD) were more likely to prescribe HDF. Larger Australian centres were more likely to prescribe HDF (36–147 new patients/year OR = 26.75, 95% CI = 18.54–38.59; 17–35/year OR = 7.51, 95% CI = 5.35–10.55; 7–16/year OR = 3.00; 95% CI = 2.19–4.13; ≤6/year reference). Conclusion Haemodiafiltration uptake is increasing, variable and associated with both patient and centre characteristics. Centre characteristics not explicitly captured elsewhere explained 36% of variability in HDF uptake in Australia and 48% in New Zealand.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it