성인과 소아 아토피피부염 환자에서 가려움증의 임상적 특징
Bibliographic record
Abstract
Background: Itch is an essential feature of atopic dermatitis (AD). Active AD cannot be diagnosed without a history of itch. There has been no previous study delineating the different characteristics of itch according to age. Objective: We wanted to characterize and compare the clinical patterns and the sensory and affective dimensions of itch in adult and childhood AD patients. Methods: A face-to-face structured questionnaire based on the McGill pain questionnaire was given to 90 patients with AD. The patients were classified into two groups: adult AD patients (≥15 years old) and childhood AD patients (＜15 years old). Results: Eighty-eight percent of the total AD patients experienced itch everyday. This itch was mostly aggravated during the summer and at night in both groups of AD patients. The antecubital fossae, popliteal fossae and neck were the major sites of involvement with itch. More patients perceived the characteristics of itch as crawling, burning and tickling rather than stinging, stabbing and pinching. The majority of AD patients answered that sweat and hot climate aggravated the itch and medications and cold climate alleviated the itch. However, compared with the childhood patients, more adult patients experienced the aggravation of itch by exposure to dust, and the itch was alleviated by taking medications and by concentrating on work. A burning sensation with itch was more frequently reported by the adult patients when compared to that of the childhood patients. Conclusion: This study highlights the detailed description and characteristics of itch in adult and childhood AD patients. The proper management of itch according to age may be prerequisite to improve AD patients` quality of life. (Korean J Dermatol 2011;49(4):318∼327)
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".