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Decreased Opioid Prescriptions and Evolving Trends in Multimodal Pain Management Following Anterior Cruciate Ligament Reconstruction

2025· article· en· W4416292875 on OpenAlexaff
Philip P. Ratnasamy, Jay Moran, Michael J. Medvecky

Bibliographic record

VenueJAAOS Global Research and Reviews · 2025
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsObject Research Systems (Canada)
FundersNational Heart, Lung, and Blood Institute
KeywordsAnterior cruciate ligament reconstructionMedical prescriptionAnterior cruciate ligamentOpioidNarcoticAnalgesicPain management

Abstract

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BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a common surgery, following which pain control medications are often prescribed. In recent years, efforts have been made to minimize opioids and other nonnarcotic medications as multimodal regimens evolve following such surgeries. METHODS: Opioid-naïve ACL reconstruction patients were identified from the PearlDiver M165Ortho data set. Those with a history of substance abuse were excluded. Prescriptions of pain management medications were evaluated in the 90 days following surgery per 1000 ACL reconstructions and grouped into the following categories: opioids, benzodiazepines, NSAIDs, serotonin norepinephrine reuptake inhibitor/tricyclic antidepressant/antiepileptic, tramadol, gabapentinoid, and nonbenzodiazepine muscle relaxant.Trends for annual prescriptions and morphine milligram equivalents were defined. Multivariable analysis was performed to determine factors independently associated with narcotic prescriptions. RESULTS: A total of 101,331 ACL reconstruction patients met study inclusion criteria. In the 90 days following surgery, opioid prescriptions decreased from 402.7 per 1,000 ACL reconstructions in 2010 to 153.5 in 2021 (-61.9%). Prescriptions of other pain management drugs on aggregate decreased from 298.0 in 2010 to 129.8 in 2021 (-56.4%). Among patients who received opioids in the 90 days postoperatively, morphine milligram equivalents prescribed per 1000 ACL reconstructions decreased from 277,941 in 2010 to 39,640 in 2021 (-85.7%).On multivariate analysis, the strongest predictors of postoperative opioid prescriptions were younger age (odds ratio [OR] 1.30 per decade decrease, P < 0.0001), male sex (relative to female, OR 1.39, P < 0.0001), patient comorbidity (per two-point decrease in Elixhauser Comorbidity Index, OR 1.25, P < 0.0001), and region of the country where surgery was performed (relative to west, Northeast OR 1.20, South OR 1.22, Midwest OR 1.41, P = 0.0006, P = 0.0026, P = 0.0002, respectively). Neither having the use of regional nerve blocks nor having multiple concomittent knee procedures affected postoperative opioid prescriptions. CONCLUSION: Fewer prescriptions of both narcotic and nonnarcotic medications following ACL reconstruction had been written over the years from 2010 to 2021, likely in favor of nonprescription over-the-counter analgesics including NSAIDs and acetaminophen. There may be opportunities to further reduce opioid prescribing following ACL reconstruction, particularly among patients receiving regional nerve blocks or those undergoing isolated ACL reconstruction.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.396
Teacher spread0.363 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2025
Admission routes1
Has abstractyes

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