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Record W6977478193 · doi:10.7939/r3-yam5-2370

Perioperative opioid demand and risk factors for long-term opioid use among anterior cruciate ligament reconstruction and repair patients in Alberta

2023· dissertation· en· W6977478193 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2023
Typedissertation
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsOpioidPerioperativeAnterior cruciate ligamentTramadolMorphineAnterior cruciate ligament reconstructionKetorolac

Abstract

fetched live from OpenAlex

Chapter 2 (Study 1): Background: Opioid use beyond typical postoperative pain timelines remains an adverse surgical outcome. Anterior cruciate ligament reconstruction and repair (ACLRR) are common surgeries whose perioperative opioid demands have not been characterized in a Canadian setting. Methods: In this retrospective cohort study, we identified ACLRRs performed between 2009–2017 in Alberta among patients aged 10–65. Using linked community pharmacy dispensation data, we evaluated time trends in the percentage of patients with preoperative opioid exposure and in initial postoperative opioid dispensation characteristics for opioid-naïve patients. We described typical month-to-month opioid demand for one year following ACLRR, wherein we distinguished patients exhibiting >90 days of opioid supply (LTOT). Results: Across 15,675 ACLRRs, preoperative opioid exposure increased from 2009 (6.6%) to 2016-17 (9.9%). Opioid-naïve patients more frequently received postoperative opioids in 2016–17 (89.2%) than in 2009 (66.7%). By 2016–17, initiating dispensations among opioid-naïve patients became more likely to contain tramadol (49.6%), involve ≥50 morphine milligram equivalent daily dosages (43.6%), and be indicated for use over 5–7 days (57.8%). 304 patients (1.9%) exhibited LTOT during their first postoperative year. LTOT rate was stratified by patient preoperative opioid exposure, ACLRR surgical type, and patient age, but did not significantly change over the study period. Conclusion: Perioperative opioid dispensations in ACLRR increased in frequency and dosage from 2009–2017 in Alberta, especially among patients without preoperative opioid exposure, alongside no significant change to overall postoperative LTOT rate. ACLRR-specific clinical guidance may be necessary for future widespread adoption of opioid-sparing and multimodal postoperative analgesia. Chapter 3 (Study 2): Background: Postoperative long-term opioid therapy (LTOT) provides minimal patient benefit while conferring substantial potential for harm. Among anterior cruciate ligament (ACL) reconstruction and repair (ACLRR) patients, the roles of preoperative non-opioid drug exposure and initial postoperative opioid dispensation characteristics on LTOT have not been elucidated. Hypothesis/Purpose: To identify preoperative, intraoperative and postoperative patient-level characteristics associated with changes in LTOT likelihood among patients undergoing ACLRR, while following recommendations to robustly define LTOT and to broadly include initiating opioid dispensation characteristics. Study Design: Cohort study. Methods: Physician billing codes were used to index ACLRRs performed between 2009–2017 in Alberta, Canada. Patient demographics, comorbidity history, preoperative opioid exposure and preoperative non-opioid drug exposure were determined for all ACLRR following linkage. Initial postoperative opioid dispensations were identified and categorized by dosage and duration for all preoperatively opioid-naïve patients. Associations between patient-level characteristics and postoperative LTOT were described via multivariable logistic regression models using three LTOT outcome constructs of varying stringency. Models were generated for the whole ACLRR cohort, as well as for the subset of patients undergoing ACLRR who were both opioid-naïve and who received opioids within their first 30 postoperative days. Results: 15,675 ACLRRs were included for analysis. Complete-cohort LTOT prevalence ranged from 304 (1.9%; Primary LTOT) patients to 1,701 (10.9%; Prior studies’ LTOT) patients. Preoperative opioid dispensation showed the strongest association with all LTOT outcome constructs. Other patient-level risk factors associated with increased LTOT included patient age >29, preoperative exposure to antidepressants, antipsychotics, and benzodiazepines; histories of substance use disorder and uncomplicated diabetes; and ACL repair <14 days from injury versus ACL reconstruction. Among patients without preoperative opioid exposure, initiating opioid dispensations of ≥50 morphine milligram equivalent daily dosage and of 15+ day duration were associated with increased LTOT. Patterns of association differed based on LTOT outcome choice. Conclusion: Numerous patient-level associations with increased LTOT are present among patients undergoing ACLRR, although preoperative opioid exposure remains a chiefly important predictor. Substantial differences in patterns of association between LTOT outcome constructs indicate a need for use of robust LTOT outcome measures in future research.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.212
Teacher spread0.204 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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