Final answer:
Predictors of poor outcome in pneumonectomy include lung function, age, and co-existing medical conditions.
Step-by-step explanation:
Pneumonectomy is the surgical removal of a lung, which is usually carried out to treat lung cancer or other severe lung conditions. Predictors of poor outcome in pneumonectomy include:
- Lung function: A patient with already compromised lung function is more likely to have a poor outcome after a pneumonectomy.
- Age: Older patients may have a higher risk of complications and poorer outcomes.
- Co-existing medical conditions: Patients with other health problems, such as heart disease or diabetes, may have a higher risk of complications.
These predictors should be taken into consideration when assessing the suitability of a patient for pneumonectomy and when discussing potential outcomes with the patient.