Bronchiectasis and nontuberculous mycobacterial pulmonary disease are increasingly managed outside specialist centres, and the patients seen in community and safety-net systems are largely absent from the studies that produced the guidelines. This framework, from centres in the Bronchiectasis and NTM Care Center Network, sets out to bridge that gap.
The critique is precise rather than general. Existing recommendations assume reliable access to subspecialty evaluation, to advanced diagnostics such as high-resolution CT and mycobacterial culture with susceptibility testing, and to expensive therapies including inhaled antibiotics. Where those assumptions fail, the guideline does not degrade gracefully — it simply stops applying, and care defaults to whatever is available.
The framework proposes four domains: diagnostic pathways that support earlier recognition, co-management models that route the highest-risk patients to expertise while keeping the rest local, pragmatic approaches to therapy matched to available resources, and education delivered in the patient's language and cultural context. None of this is new evidence. What it offers is a structure for deciding which parts of a guideline to prioritise when you cannot deliver all of it — a question most Indian practice faces daily and which the source guidelines do not address.
- Establish a local threshold for suspecting bronchiectasis — chronic productive cough with recurrent infections deserves a CT, not another antibiotic course.
- Triage to subspecialty referral by risk rather than by diagnosis; not every patient needs a specialist centre.
- Send sputum for mycobacterial culture before starting long-term macrolide therapy — inadequate treatment of NTM disease breeds resistance.
- Teach airway clearance properly; it is the intervention least dependent on resources and most dependent on instruction.
- Deliver education in the patient's language — adherence to daily clearance and prolonged antibiotics depends on understanding why.
Why it matters
A guideline that assumes resources a system lacks does not produce partial compliance; it produces none.
Don't overread it
This is an expert framework based on network experience, not a tested care model with outcome data.
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