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Record W4294000862 · doi:10.1016/j.jor.2022.08.030

Complications, demographics and hospital stay in organ transplant patients undergoing total hip arthroplasty - A national database study between 2016 and 2019

2022· article· en· W4294000862 on OpenAlexaff
Sushrruthi Varatharaj, Tejas Senthil, Vibhu Krishnan Viswanathan, Vishaal Sakthivelnathan, Varatharaj Mounasamy, Senthil Sambandam

Bibliographic record

VenueJournal of Orthopaedics · 2022
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineTotal hip arthroplastyDemographicsRetrospective cohort studyPopulationSurgeryDatabaseInternal medicine

Abstract

fetched live from OpenAlex

Background: The purpose of this study was to analyze the post-operative complications following THA in organ transplant patients; and compare the outcome with general population undergoing THA. Methods and materials: In this retrospective study using the National Inpatient Sample (NIS) database, 813 cases of THA (both primary and revision THA) in organ transplant patients (OT) were reviewed. ICD-10 codes were used to assess post-operative variables including the length of stay, cost of care, medical and surgical complications among OT patients undergoing THA. A comparison of all these variables was made with the non-OT (NOT) control population. Results: Among 367,894 patients undergoing THR between 2016 and 2019 on NIS database, 813 were OT patients. There was significantly greater proportion of males in the OT group (p < 0.001). Patients in the OT group were also significantly younger (mean age: 61.08 ± 11.95 in OT versus 65.87 ± 11.39 years in NOT; p < 0.001). The OT group had significantly higher prevalence of anemia (p < 0.001), acute renal failure (ARF; p < 0.001), and transfusion rates (p < 0.001). The OT patients also had significantly greater dislocation rates (p = 0.010), wound dehiscence (p = 0.03) and deep surgical-site infections (SSI; p = 0.002). The mean length of hospital stay (3.55 ± 4.89 days in OT vs 2.32 ± 2.52 days in NOT; p < 0.001), cost of care ($82,567.89 ± 74,505.54 vs $66,845.18 ± 47,761.39 for OT and NOT groups, respectively; p < 0.001) and mortality (p = 0.04) were significantly greater in the OT population, as compared to controls. Conclusion: Organ transplant patients have significantly greater risk for developing post-operative complications like anemia, ARF, need for higher transfusion rates, prosthetic dislocations, wound dehiscence, and deep SSI following THA. The length of stay, total expenditure incurred and mortality were also higher in OT patients undergoing THA.

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)0.003
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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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Citations3
Published2022
Admission routes1
Has abstractno

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