[Thoracic surgery and co-morbid patients].

Area of Science:

• Thoracic Surgery
• Geriatric Medicine
• Oncology

Background:

• Lung resection patients often have smoking-related comorbidities, increasing surgical risks.
• An aging population with non-small cell lung cancer presents challenges with frailty.
• High comorbidity and frailty rates impact surgical morbidity and mortality.

Purpose of the Study:

• To review the management of comorbid patients in thoracic surgery.
• To detail predictive scores for identifying high-risk patients.
• To discuss multidisciplinary approaches for optimizing care.

Main Methods:

• Review of predictive scores: Thoracoscore, modified Frailty Index (mFI), Memorial Sloan-Kettering Frailty Index (MSK-F1).
• Exploration of multidisciplinary management strategies.
• Focus on co-management and enhanced recovery after surgery (ERAS) protocols.

Main Results:

• Predictive scores aid in early identification of high-risk patients for lung resection.
• Multidisciplinary approaches, including co-management and ERAS, can adapt surgical strategies.
• These strategies aim to reduce morbidity and mortality in comorbid and frail populations.

Conclusions:

• Early identification of high-risk patients is essential for optimizing thoracic surgery outcomes.
• Tailored surgical management through multidisciplinary collaboration improves patient care.
• Implementing predictive scores and collaborative approaches enhances safety in lung resection surgery.