Cost analysis of two modalities of continuous renal replacement therapy
Bibliographic record
Abstract
BACKGROUND: Continuous veno-venous hemofiltration (CVVH) and continuous veno-venous hemodialysis (CVVHD) are costly therapies reserved for use in critically ill patients with kidney failure. DESIGN: Quality improvement study at St. Elizabeth's Medical Center, Boston, MA, USA. SETTING AND PARTICIPANTS: Members of nephrology and pharmacy department, working alongside intensive care unit nursing staff and hospital administration, undertook an initiative to transition from CVVH to CVVHD, to simplify therapy administration, lessen need for electrolyte repletion, and reduce total treatment-related costs. QUALITY IMPROVEMENT PLAN: We postulated that conversion from CVVH to CVVHD would result in fewer filter clotting events, longer filter use (up to 72 hours), lower resource utilization, and confer overall cost benefit. Over 12 months, patients initiated on CVVH were identified. Following conversion to CVVHD, patients initiated on CVVHD over 9 months were identified. Patient characteristics, comorbidities, and hospital-related outcomes, as well as CRRT-related information including treatment modality, treatment duration, and treatment-related costs were obtained. MEASURES: Daily treatment-related costs, intensive care unit and hospital length of stay (LOS), and in-hospital mortality. RESULTS: During the baseline period, 77 patients were initiated on CVVH, and during the intervention period, 60 patients were initiated on CVVHD. Following conversion from CVVH to CVVHD, mean (±SD) daily total treatment cost decreased from $1813 ± $2143 to $775 ± $766 (P < 0.001). Conversion from CVVH to CVVHD had no impact on intensive care unit LOS (11.8 ± 9.7 vs. 12.4 ± 9.5 days; P = 0.53), hospital LOS (15.0 ± 11.1 vs. 16.4 ± 14.0 days; P = 0.89), or in-hospital mortality (58% vs. 60%; P = 0.85). LIMITATIONS: Nursing costs, costs of dialysis machine utilization, phosphate repletion, and systemic anti-coagulation were not studied. CONCLUSION: Transition from CVVH to CVVHD resulted in a significant cost benefit and reduced resource utilization. There was no difference in LOS and in-hospital mortality between the two treatment modalities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".