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Record W4376105815 · doi:10.1097/brs.0000000000004713

Incidence and Recurrence of Deep Spine Surgical Site Infections

2023· review· en· W4376105815 on OpenAlexaff
Millaray Freire-Archer, Mohamed Sarraj, Alex Koziarz, Patrick Thornley, Fawaz N. Alshaalan, Haitham H. Alnemari, Edward Kachur, Mohit Bhandari, Colby Oitment

Bibliographic record

VenueSpine · 2023
Typereview
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsHamilton General HospitalWestern UniversityMcMaster University
Fundersnot available
KeywordsMedicineIncidence (geometry)Meta-analysisSurgerySpinal fusionPopulationComplicationInternal medicine

Abstract

fetched live from OpenAlex

STUDY DESIGN: Systematic review and meta-analysis. OBJECTIVE: To determine a pooled incidence rate for deep surgical site infection (SSI) and compare available evidence for deep SSI management among instrumented spinal fusions. SUMMARY OF BACKGROUND DATA: Deep SSI is a common complication of instrumented spinal surgery associated with patient morbidity, poorer long-term outcomes, and higher health care costs. MATERIALS AND METHODS: We systematically searched Medline and Embase and included studies with an adult patient population undergoing posterior instrumented spinal fusion of the thoracic, lumbar, or sacral spine, with a reported outcome of deep SSI. The primary outcome was the incidence of deep SSI. Secondary outcomes included persistent deep SSI after initial debridement, mean number of debridements, and microbiology. The subsequent meta-analysis combined outcomes for surgical site infection using a random-effects model and quantified heterogeneity using the χ 2 test and the I2 statistic. In addition, a qualitative analysis of management strategies was reported. RESULTS: Of 9087 potentially eligible studies, we included 54 studies (37 comparative and 17 noncomparative). The pooled SSI incidence rate was 1.5% (95% CI, 1.1%-1.9%) based on 209,347 index procedures. Up to 25% of patients (95% CI, 16.8%-35.3%), had a persistent infection. These patients require an average of 1.4 (range: 0.8-1.9) additional debridements. Infecting organisms were commonly gram-positive, and among them, staphylococcus aureus was the most frequent (46%). Qualitative analysis suggests implant retention, especially for early deep SSI management. Evidence was limited for other management strategies. CONCLUSIONS: The pooled incidence rate of deep SSI post-thoracolumbar spinal surgery is 1.5%. The rate of recurrence and repeat debridement is at least 12%, up to 25%. Persistent infection is a significant risk, highlighting the need for standardized treatment protocols. Our review further demonstrates heterogeneity in management strategies. Large-scale prospective studies are needed to develop better evidence around deep SSI incidence and management in the instrumented thoracolumbar adult spinal fusion population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.394
Teacher spread0.340 · 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 designOther design
Domainnot available
GenreReview

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

Citations26
Published2023
Admission routes1
Has abstractyes

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