Therapeutic plasma exchange combined with continuous venovenous hemofiltration in a series of pediatric patients with toxic epidermal necrolysis
Bibliographic record
Abstract
BackgroundAtopic dermatitis (AD) can remit as age increases. However, long-term follow-up studies evaluating disease evolution and related factors of persistence of early-onset AD are sparse. ObjectivesThis study aimed to identify factors associated with the persistence of early-onset AD. Materials & MethodsIn this prospective cohort study, 260 patients with onset of AD before age two years old were enrolled. Clinical examination was performed and a questionnaire survey completed at enrolment. In addition, the filaggrin gene ( FLG) of all participants was sequenced to identify mutations within this gene. Patients were followed at age six and 12. ResultsThe remission rate was 50.8% at age six and 70.3% at age 12. Persistent AD was associated with a higher SCORAD index at baseline ( p < 0.001), a family history of asthma ( p = 0.003) and food allergen sensitization ( p = 0.033). However, the presence or absence of FLG mutation did not show any significant association with persistent AD. Prognostic factors for persistence of AD were analysed by logistic regression analysis. Disease severity according to SCORAD index at baseline (OR: 1.039; 95% CI: 1.018-1.059; p < 0.001) and family history of asthma (OR: 3.008; 95% CI: 1.297-7.007; p = 0.011) were risk factors that may predict persistent AD based on multivariate regression analysis. ConclusionIt is important to stratify early-onset AD according to severity and investigate family allergic history in order to establish appropriate individual management. Moreover, genetic factors other than FLG mutation may play more important roles in persistent early-onset AD.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".