Pain perception in patients with hidradenitis suppurativa
Bibliographic record
Abstract
BACKGROUND: Pain is a prominent symptom of hidradenitis suppurativa (HS) and has been defined as a domain in the Core Outcome Set for the disease. Quality and intensity of pain is influenced by depression and anxiety, both of which are associated with HS. OBJECTIVES: To describe HS-related pain quantitatively and qualitatively; and to investigate how disease severity, depression and anxiety correlate with self-reported pain quality. METHODS: Pain perception was investigated using the McGill Pain Questionnaire. Symptoms of depression and anxiety were examined using the Hospital Anxiety and Depression Scale. Statistical analyses investigated differences in number of words chosen (NWC) and pain-rating index rank [PRI(R)] in patients with severe disease and in patients with depression/anxiety. RESULTS: A total of 138 patients with HS were recruited in an outpatient clinic (October 2017-March 2018). Patients presented a median NWC of 11·5 and a PRI(R) of 59·0%. Most common descriptors were 'shooting' (83%), 'itchy' (79%) and 'blinding' (75%). Patients with depression or anxiety presented significantly higher PRI(R)s [depressed 65% vs. non-depressed 57% (P = 0·015); anxious 65% vs. nonanxious 57% (P = 0·004)]. Patients with involvement of three or more HS regions vs. those with fewer than three involved regions exhibited a significantly higher NWC (13 vs. 8; P = 0·048). CONCLUSIONS: HS-related pain includes nociceptive and neuropathic pain, and perception appears to be influenced by disease severity, anxiety and depression. A multimodal pain management strategy may be the most appropriate; however, more detailed studies are necessary to define recommendations on pain management. What's already known about this topic? Pain is a core outcome domain hidradenitis suppurativa. Few studies have addressed this significant clinical problem. What does this study add? This study suggests that HS pain comprises both nociceptive and neuropathic pain. Pain appears associated to depression, anxiety and severity of the disease.
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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 | 0.002 |
| 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) | 0.002 | 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".