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Record W2412527207

A three-step approach to conversion of prevalent catheter-dependent hemodialysis patients to arteriovenous access.

2011· article· en· W2412527207 on OpenAlexaffabout
Patty Quinan, Aaron Beder, Murray Berall, Meaghan S. Cuerden, Gihad Nesrallah, David C. Mendelssohn

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsMedicineHemodialysisDialysisCatheterKidney diseaseArteriovenous fistulaVascular accessDialysis catheterSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Prevalent central venous catheter (CVC) rates among hemodialysis (HD) patients in Canada remain high. In October 2006, we implemented a three-step multidisciplinary quality improvement project in our in-centre HD unit. The primary objective was to convert 50% of suitable patients to arteriovenous fistulas (AVFs) or arteriovenous grafts (AVGs). DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENT: We undertook a case-crossover evaluation of the efficacy of a three-step conversion strategy. In step one, all medically suitable in-centre HD patients were assessed for arteriovenous (AV) access creation. In step two, patients were scheduled for preoperative vascular mapping and referred to the vascular surgeon. In step three, patients who refused conversion were asked to sign a waiver indicating that their decision to continue with a CVC was against medical advice. RESULTS: At the start of the project in October 2006, there were a total of 284 patients on HD in our in-centre unit and 108 patients were catheter-dependent (38%). Of these, 53 patients were deemed suitable for conversion from a CVC to AVF or AVG; 26/53 (49%) patients agreed to conversion and 27/53 (51%) refused conversion. For the patients in the conversion group, 63% had been followed in chronic kidney disease (CKD) clinic and 37% initiated dialysis acutely; compared to 57% and 43% respectively in the refusal group. The difference was not statistically significant (p = 0.62 by Chi-square test), suggesting that there may be other factors affecting a patient's decision other than predialysis nephrology care. Of interest, 19/27 (70%) of patients who refused conversion signed the waiver and 8/27 (30%) refused to sign the waiver. None of the patients, when confronted with the waiver, agreed to conversion. Based on analysis of the main findings from our study, patients were most concerned about insertion of needles, pain and the appearance of their AV accesses. While 22 patients have successfully converted, resulting in a conversion rate of 41.5%, the percentage of catheter-dependent patients increased from 38% to 46% during the project period. Factors that likely contribute to the increase in point-prevalence CVC rates during the project period include a high rate of patient refusal, a high rate of patients deemed to be medically unsuitable, AV access failure during the project period, and most common was a failure to create AV access among incident HD patients who were followed in our centre through the late stages of chronic kidney disease (CKD). Successful conversion was defined as removal of CVC and use ofAVaccess for HD at the end of the study period (December, 2010). CONCLUSION: Long-term CVC use in Canada and the unwillingness of medically suitable patients to convert to more optimal forms of vascular access are linked problems with potentially grave consequences. We need to develop a better understanding of the patients' perspective and possible psychological factors affecting patients' decisions if we are to have an impact on the high CVC use of Canadian prevalent HD patients.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.089
GPT teacher head0.296
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2011
Admission routes2
Has abstractyes

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