Acral Changes in pediatric patients during COVID 19 pandemic: Registry report from the COVID 19 response task force of the society of pediatric dermatology (SPD) and pediatric dermatology research alliance (PeDRA)
Bibliographic record
Abstract
Background/Objective In spring 2020, high numbers of children presented with acral pernio-like skin rashes, concurrent with the coronavirus disease 2019 (COVID-19) pandemic. Understanding their clinical characteristics/ infection status may provide prognostic information and facilitate decisions about management. Methods A pediatric-specific dermatology registry was created by the Pediatric Dermatology COVID-19 Response Task Force of the Society for Pediatric Dermatology (SPD) and Pediatric Dermatology Research Alliance (PeDRA) and was managed by Children's Hospital of Philadelphia using REDCap. Results Data from 378 children 0-18 years entered into the registry between April 13 and July 17, 2020 were analyzed. Data were drawn from a standardized questionnaire completed by clinicians which asked for demographics, description of acral lesions, symptoms before and after acral changes, COVID-19 positive contacts, treatment, duration of skin changes, laboratory testing including SARS-CoV-2 PCR and antibody testing, as well as histopathology. 229 (60.6%) were male with mean age of 13.0 years (+/- 3.6 years). Six (1.6%) tested positive for SARS-CoV-2. Pedal lesions (often with pruritus and/or pain) were present in 96%. 30% (114/378) had COVID-19 symptoms during the 30 days prior to presentation. Most (69%) had no other symptoms and an uneventful course with complete recovery. Conclusions and Relevance Children with acral pernio-like changes were healthy and all recovered with no short-term sequelae. We believe these acral changes are not just a temporal epiphenomenon of shelter in place during the spring months of the first wave of the COVID-19 pandemic and may be a late phase reaction that needs further study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".