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Record W3210140989 · doi:10.1093/pch/pxab061.105

131 Characterizing atlanto-occipital dissociation and its association with pediatric traumatic cardiac arrest: A descriptive case series

2021· article· en· W3210140989 on OpenAlexaff
Dayae Jeong, Gabrielle Freire, Suzanne Beno

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePediatricsChest radiographRadiographySurgery

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Emergency Medicine - Paediatric Background Atlanto-occipital dislocation (AOD) is a type of cervical spine injury (CSI) that is commonly fatal or associated with severe neurologic consequences. Although rare, AOD is now more commonly recognized in children as improved prehospital care allows for more patients to reach trauma centres and undergo definitive imaging. Patients with AOD often present with cardiorespiratory instability and prompt diagnosis is crucial. However, diagnosis may be delayed due to variation in imaging practices and lack of literature on this topic. Objectives Primary objective: Describe the demographic characteristics, clinical presentation, and long-term outcomes of children with AOD, compared to other upper CSI. Secondary objective: Describe the frequency of AOD and other upper CSI in pediatric traumatic cardiac arrest (PTCA) and the utility of a lateral c-spine radiograph in this setting. Design/Methods This was a retrospective, single-centre case series of all pediatric trauma patients age < 16 years diagnosed with upper CSI seen at a tertiary pediatric trauma centre from 2000-2020. Patients were included if they had evidence of bony or ligamentous injury from C0-2. The diagnosis of upper CSI was ascertained on autopsy, when available, then cross-sectional imaging, then plain radiographs, when the other modalities were unavailable. Data was obtained from manual chart review and analyzed using descriptive statistics. Results Thirty-six patients were excluded for not meeting upper CSI criteria. Of 93 patients with upper CSI, 24 had AOD: 14 (15%) complete and 10 (11%) incomplete (Table 1). The mechanism of injury was motor-vehicle-collision in 23 (96%) of these patients, and a fall in one (4%). All patients with complete AOD presented in PTCA and only one (7%) survived. Of seven patients with AOD who received a lateral c-spine x-ray during resuscitation, 5 (71%) had identifiable injuries. In contrast, of the 10 patients with incomplete AOD, only 1 (10%) presented in arrest and none died. Only one patient received an x-ray during resuscitation, which showed the injury but went undetected, and 100% of final diagnoses were made through CT. The majority of incomplete AOD patients were managed non-operatively and had minimal to mild disability. Conclusion In our study population, complete AOD was highly fatal with all patients presenting in PTCA. In contrast, incomplete AOD carried a more favorable prognosis with 100% survival and minimal-mild disability. If there is suspicion for AOD, a lateral c-spine XR in the trauma bay can aid in early diagnosis, guiding neurosurgical management and/or goals of care discussions.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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
Published2021
Admission routes1
Has abstractyes

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