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Record W4322703369 · doi:10.21037/pm-22-18

Severe rhabdomyolysis temporally associated with SARS-CoV-2 vaccine in an adolescent: a case report

2023· article· en· W4322703369 on OpenAlexaff
Talia Baird, Amrit Kirpalani, Michael Knauer, Brett Plouffe, Farah Abdulsatar

Bibliographic record

VenuePediatric Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsChildren’s Health Research InstituteLawson Health Research InstituteWestern University
Fundersnot available
KeywordsRhabdomyolysisMedicineAdverse effectVaccinationPediatricsAdverse Event Reporting SystemPandemicIntensive care medicineEmergency medicineCoronavirus disease 2019 (COVID-19)Internal medicineImmunologyDisease

Abstract

fetched live from OpenAlex

Background: Rhabdomyolysis has been reported following common vaccines such as influenza vaccines. It has now more recently been temporally associated with SARS-CoV-2 vaccine administration in adults. To our knowledge, there are no published reports of severe rhabdomyolysis temporally associated with SARS-CoV-2 vaccine administration in children. Case Description: We report a case of severe rhabdomyolysis occurring in a 16-year-old previously healthy female, following receipt of the second dose of the Pfizer/BioNTech SARS-CoV-2 vaccine without any other identifiable triggers on history, physical examination, and laboratory investigations. This patient’s creatinine kinase (CK) peaked at 246,900 U/L, at about 90 hours post-vaccination. The patient was hospitalized and treated successfully with intravenous hyperhydration over a 3-day hospital admission with subsequent complete recovery. Conclusions: This is the first pediatric report of rhabdomyolysis temporally associated with administration of the SARS-CoV-2 vaccine. This patient’s full recovery followed a brief hospitalization for hyperhydration. While causality cannot be assigned to this single event, reporting of such adverse events following SARS-CoV-2 vaccination in the pediatric populations is important to create awareness, and to ensure continued post-licensure surveillance of COVID-19 vaccines. The benefits of these vaccines in reducing hospitalizations and deaths, however, continue to outweigh any potential risk of rare adverse events.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
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 head0.043
GPT teacher head0.318
Teacher spread0.275 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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