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Characterization of Hip Fractures Among Adults With Schizophrenia in Ontario, Canada

2023· article· en· W4367310882 on OpenAlexafffundabout
Hina Ansari, Susan Jaglal, Angela M. Cheung, Paul Kurdyak

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsCentre for Addiction and Mental HealthInstitute for Clinical Evaluative SciencesUniversity of TorontoUniversity Health NetworkSinai Health SystemToronto Rehabilitation InstitutePublic Health Ontario
FundersOntario Ministry of Health and Long-Term CareAmgen
KeywordsHip fractureMedicineSchizophrenia (object-oriented programming)PopulationDemographyPhysical therapyPediatricsPsychiatryInternal medicineOsteoporosisEnvironmental health

Abstract

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Importance: Evidence suggests that individuals with schizophrenia are at an increased risk of hip fractures; however, the sex-specific burden of hip fractures among adults with schizophrenia has not been quantified and compared with the general population. Objective: To describe sociodemographic and clinical characteristics of patients with hip fracture and schizophrenia and to quantify their sex-specific annual hip fracture rates relative to those without schizophrenia. Design, Setting, and Participants: This repeated population-based, cross-sectional study leveraged multiple individually linked health administrative databases for patients in Ontario, Canada. We included patients aged 40 to 105 years with hip fracture-related hospitalization between April 1, 2009, and March 31, 2019. Statistical analysis was performed between November 2021 and February 2023. Exposure: Schizophrenia diagnosis, ascertained using a validated algorithm. Main Outcomes and Measures: The main outcome was sex-specific age-standardized annual hip fracture rate per 10 000 individuals and annual percent change in age-standardized rates. Rates were direct adjusted to the 2011 Ontario population, and joinpoint regression analysis was performed to evaluate annual percent change. Results: We identified 117 431 hip fracture records; of these, there were 109 908 index events. Among the 109 908 patients with hip fracture, 4251 had schizophrenia and 105 657 did not. Their median age was 83 years (IQR, 75-89 years), and 34 500 (31.4%) were men. Patients with hip fracture and schizophrenia were younger at the index event compared with those without schizophrenia. Men had a median age of 73 vs 81 years (IQR, 62-83 vs 71-87 years; standardized difference, 0.46), and women had a median age of 80 vs 84 years (IQR, 71-87 vs 77-89 years; standardized difference, 0.32). A higher proportion of patients with vs without schizophrenia had frailty (53.7% vs 34.2%; standardized difference, 0.40) and previous fragility fractures (23.5% vs 19.1%; standardized difference, 0.11). The overall age-standardized rate per 10 000 individuals with vs without schizophrenia was 37.5 (95% CI, 36.4 to 38.6) vs 16.0 (95% CI, 15.9 to 16.1). Age-standardized rates were 3-fold higher in men with vs without schizophrenia (31.0 [95% CI, 29.5 to 32.6] vs 10.1 [95% CI, 10.0 to 10.2]) and more than 2-fold higher in women with vs without schizophrenia (43.4 [95% CI, 41.9 to 44.9] vs 21.4 [95% CI, 21.3 to 21.6]). Overall, joinpoint regression analysis identified a steady annual decrease of 0.7% (95% CI, -1.1% to -0.3%) in age-standardized rates for both study groups. Conclusions and Relevance: The findings of this cross-sectional study suggest that individuals with schizophrenia experience an earlier age of onset and considerably higher rate of hip fractures compared with the general population, with implications for targeted fracture prevention and optimization of clinical bone health management over the course of their psychiatric illness.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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 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

Citations7
Published2023
Admission routes3
Has abstractyes

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