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Record W3186927939 · doi:10.17169/refubium-28091

Ein interdisziplinärer und standardisierter Diagnostik- und Therapiealgorithmus für periprothetische Gelenkinfektionen

2020· dissertation· en· W3186927939 on OpenAlexaboutno aff
Daniel Karczewski

Bibliographic record

VenueRefubium (Universitätsbibliothek der Freien Universität Berlin) · 2020
Typedissertation
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Introduction: Since 06/2013, periprosthetic joint infections (PJI) were treated with a standardized therapeutic and diagnostic algorithm in a separated septic-surgery department by an interdisciplinary team of surgeons, orthopedics, microbiologist, and pathologists. The hypothesis is put up, that such an interdisciplinary and standardized approach is able to improve the outcome compared to a conventional procedure. Methods: Publications 1 and 2 are retrospective studies, the third a prospective consecutive study. Results: Publication 1: 95 PJI cases, treated with a two-stage exchange in the interdisciplinary and standardized system in the years 2013 – 2016, were included (49 hips, 46 knees). The comparison group was a non-standardized, non-interdisciplinary and conventionally treated group from the same clinic of the years 2009 – 2011 (46 hips, 40 knees). Despite a significantly higher CCI (Charlson Comorbidity Index, 3.9, 3.1, P=0.009), rate of septic indicated pre-revisions (52.6%, 36%, p=0.025), and trend towards a higher average age (69.0 years, 66.2 years, p=0.075) and more polymicrobial cases (47.3%, 33.7%, p=0.062), both the relapse rate (suspected infection persistence), and time interval between ex- and reimplantation (66.6 days, 80.7 days, p<0.001), could be reduced significantly form 10.4% to 3.1% (p=0.048). In contrast, no significant reduction of a new infection rate (suspected different/new infection) could be shown (8.4%, 8.1%, p=0.945) in a 2-year follow-up. Publication 2: In 24 hip- and 16 knee PJI of the interdisciplinary treated group, the indication for a two-stage exchange was based only on (para-)clinical signs without a preoperative microbe detection (symptoms, CRP > 1mg/dl, X-ray, Leucocytes in aspiration >1700/µl). In 91.6%, a microbe was then found intraoperatively in the hip. In the knee, this was only the case in 68.7%. However, here other definitive infection signs were found in 93.7% (e.g. Krenn Morawietz type II/III). Publication 3: In the years 2015/16, 8 PJI with co-existing fractures were identified (one Vancouver Typ B1, three type B2/3, four type C). Following a specialized and standardized three-step procedure (explanation, fracture stabilization, two-stage reimplantation) the combined relapse and new infection rate was 12.5%, the total revision rate 37.5% and the fracture healing rate 62.5% (follow-up 34±8 months). Conclusion: An interdisciplinary and standardized treatment system is one possible solution for the increasing problem of PJI. The indication for a revision can solely be based on paraclinical criteria without a preoperative microbe detection. A standardized three step-based procedure in PJI with co-existing fractures achieved infection consolidation and limb preservation in all cases.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.313
Teacher spread0.302 · 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.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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