Optimising care for chronic rhinosinusitis with nasal polyps and asthma in multimorbid patients: a multidisciplinary Delphi consensus
Bibliographic record
Abstract
Objective: Chronic rhinosinusitis with nasal polyps (CRSwNP) and asthma often coexist and share common underlying pathophysiological mechanisms. This study addresses challenges in the diagnosis and treatment of multimorbid patients with CRSwNP and asthma providing new insights for their management. Methods: Using a modified Delphi method, a scientific board of 40 Italian clinicians (pulmonologists, allergists/clinical immunologists, and ear, nose, and throat specialists) developed consensus statements regarding the multimorbid patient with severe CRSwNP and asthma and including the disease burden, assessment, treatment and multidisciplinary management of multimorbid patients. Results: All statements reached consensus. Experts acknowledged the substantial disease burden, the key pathophysiological role of type 2 inflammation in multimorbid patients and the need for multidisciplinary care. The use of biologics represents a highly effective therapeutic opportunity for patients with comorbidities, optimising overall outcomes. Integrated care pathways and regular multidisciplinary re-assessment were deemed essential for treatment decisions and improved care in multimorbid patients. Conclusions: This consensus highlights the value of a multidisciplinary approach for multimorbid CRSwNP and asthma patients, advocating for endotype-driven therapies and standardised pathways in clinical practice.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".