A prototype line clamp for venous access bleeding in hemodialysis: A prospective cohort study
Bibliographic record
Abstract
INTRODUCTION: Venous needle dislodgement (or venous port disconnection) during hemodialysis (HD) may lead to catastrophic blood loss, particularly during unsupervised home HD. A prototype venous line clamp was developed for use in conjunction with the Redsense blood loss sensor. We hypothesize that this prototype device will provide additional safety to dialysis without excessive burden. METHODS: This was a single-center, prospective cohort study. Participants kept a log of bleeding, troubleshooting and clamp deployment events, and completed questionnaires before device first use and after device final use. The primary outcome was appropriate device function, evaluated by review of bleeding and clamp deployment events. The secondary outcomes were patient/nursing staff expectations and experience of the device. FINDINGS: Fourteen patients used the device during a combined total of 214 HD treatments. Five participants (36%) had experienced a bleeding or disconnection event prior to study recruitment. All vascular access types were represented. The device was tested during incenter HD (n = 7 patients) and home HD (n = 7 patients). There were eight clamp deployment events, three of which were in the setting of minor bleeding at the venous access site. No other bleeding events were reported. The main troubleshooting issues were related to cumbersome device connections. Participants perceived additional safety with the device (median score 4.25 out of 5; range 1-5). However, the amount of additional work created was variable, and large in some cases (median score 2 out of 5; range 0-4.5). There was no association between HD vintage and device burden (P = 0.55). DISCUSSION: This "proof of concept" study confirmed that a clamp on the venous line, operating in conjunction with a venous access blood detector, is feasible regardless of HD location or vascular access type. The device improved patient safety perception during HD but was burdensome. Design modifications could improve future device iterations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".