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A model for morbidity after lung resection in octogenarians.
Mark F Berry1, Mark W Onaitis, Betty C Tong
1Department of Surgery, Division of Thoracic Surgery, Duke University Medical Center, Durham, NC 27710, USA. berry037@mc.duke.edu
Lung resection in octogenarians has low mortality but significant morbidity. Risk factors for complications include extensive resection, thoracotomy, and poor lung function, necessitating careful patient selection.
Area of Science:
- Thoracic Surgery
- Geriatric Medicine
- Pulmonary Medicine
Background:
- Age is a critical determinant of surgical risk, particularly for major procedures like lung resection.
- Octogenarians represent a growing population undergoing thoracic surgery, necessitating a clear understanding of their specific risks.
Purpose of the Study:
- To identify specific risk factors associated with postoperative complications following lung resection in patients aged 80 years and older.
- To evaluate the safety and outcomes of lung resection in the octogenarian population.
Main Methods:
- A prospective database of 193 octogenarian patients undergoing lung resection (2000-2009) was reviewed.
- Preoperative, histopathologic, perioperative, and outcome data were assessed.
- A multivariable risk model was developed to identify predictors of morbidity, defined by the Society of Thoracic Surgeons General Thoracic Surgery Database.
Main Results:
- Overall morbidity was 46%, with common complications including atrial arrhythmia (20%) and prolonged air leak (12%).
- Significant predictors of morbidity included extent of resection beyond wedge (OR 2.98), thoracotomy approach (OR 2.6), and reduced % predicted forced expiratory volume in 1s (OR 1.28 per 10% decrement).
- Operative mortality was 3.6%.
Conclusions:
- Lung resection in octogenarians can be performed with acceptable operative mortality.
- The extent of resection, operative approach (thoracotomy), and impaired pulmonary function are key factors increasing complication risk.
- Careful preoperative evaluation and patient selection are crucial for optimizing outcomes in this elderly cohort.
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