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Record W4409088697 · doi:10.1093/jhps/hnaf011.097

OP3.5 Does Patient Resiliency Influence Patient-reported outcomes at Presentation in Symptomatic Femoroacetabular Impingement

2025· article· en· W4409088697 on OpenAlexaff
Jeffrey J. Nepple, Matthew R. Schmitz, Kyle P. O’Connor, Robert W. Westermann, Andrea M. Spiker, Aaron J. Krych, Sasha Carsen

Bibliographic record

VenueJournal of Hip Preservation Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineFemoroacetabular impingementPresentation (obstetrics)Physical therapySurgery

Abstract

fetched live from OpenAlex

Abstract Background: Resilience, quantified by the brief resilience scale (BRS), has been recognized for its role in pain and symptomatology in musculoskeletal conditions. The role of psychological factors in the clinical presentation and outcomes of FAI surgery continues to be poorly understood. Methods: This is a prospective multicenter study of FAI patients undergoing primary hip arthroscopy. PROMs were administered at baseline, 3-, and 6-months post-op and included the Patient Reported Outcomes Measurement Information System (PROMIS) domains of anxiety and depression, as well as Hip Disability and Osteoarthritis and Outcome Score (HOOS), modified Harris Hip Score (mHHS), and International Hip Outcome Tool (iHOT-12). Resilience was characterized by BRS score and divided into low (“L”, score<3), normal (“N”, score 3-4.3), and high resilience (“H”, score>4.3). Results: 675 patients were included with a mean age of 24.9±7.8 years and female predominance (56%). Mean BRS scores were 3.7±0.7 (1.5-5.0). 13.8% (n=93) had low resilience, 65.9% (n=445) had normal resilience, and 20.3% (n=137) had high resilience. Lower resilience had more severe symptoms in HOOS pain (p<0.001), HOOS sports (p=0.003), HOOS ADL (p<0.001), HOOS QoL (p<0.001), iHOT-12 (p=0.002), and mHHS (p<0.001). Anxiety (L: 50.5%/N: 14.4%/H: 2.2%) and depression (L: 38.7%/N: 8.8%/H: 2.9%) were higher in lower resilience groups (all p<0.001) and this trend stayed consistent in female and male sub-analyses with females having greater anxiety and depression symptoms. The follow-up cohort with 3- and 6-months follow-up was 487 patients and had similar baseline characteristics as the baseline cohort. Lower resilience had lower postoperative PROs (with similar change) (p<0.05). After treatment, rates of anxiety or depression decreased from 22.1% to 15.6% with the low resilience group having the highest change from 62.9% to 45.9%. Conclusion: Low resilience correlates with more severe symptoms and predicts anxiety/depression in FAI. 13.8% had low resilience while 20.3% had high resilience. Lower resilience had worse postoperative PROs. Particularly in patients with low resilience at presentation, rates of anxiety or depression symptoms decreased postoperatively. Further studies are needed to understand the role of resilience in longer-term outcomes of FAI and whether concurrent psychological treatment will help improve patient outcomes after hip arthroscopy for FAI.

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)0.001
metaresearch head score (Gemma)0.008
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.301
Teacher spread0.282 · 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
Published2025
Admission routes1
Has abstractyes

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