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Predicting postoperative pulmonary complications: implications for outcomes and costs
Sergi Sabaté1, Valentín Mazo, Jaume Canet
1aDepartment of Anesthesiology and Postoperative Care, Fundació Puigvert (IUNA) bDepartment of Anesthesiology and Postoperative Care, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain.
Insights
Accurate prediction of postoperative pulmonary complications (PPCs) is crucial for patient outcomes and healthcare costs. Developing reliable risk-stratification tools is essential for effective perioperative management and improved patient care.
Area of Science:
- Anesthesiology and Perioperative Medicine
- Pulmonary Medicine
- Healthcare Management
Background:
- Postoperative pulmonary complications (PPCs) encompass a range of conditions including pneumonia, respiratory failure, and pneumothorax.
- PPCs occur in 2-40% of patients, significantly increasing mortality, length of stay, and healthcare costs.
Purpose of the Study:
- To review progress in reliably predicting postoperative pulmonary complications (PPCs).
- To discuss risk assessment in the context of patient management, clinical outcomes, and healthcare economics.
Main Methods:
- Literature review of current progress in PPC prediction.
- Analysis of risk factors, patient management strategies, and clinical outcomes associated with PPCs.
Main Results:
- PPCs lead to increased mortality (up to 48%), longer hospital stays (average 8 days), and doubled to 12-fold higher costs.
- Proposed interventions like smoking cessation and physiotherapy lack strong scientific evidence currently.
- Reliable PPC risk-stratification tools are identified as essential for perioperative decision-making.
Conclusions:
- PPCs are linked to severe health events and elevated costs, necessitating better prediction tools.
- Focusing on modifiable risk factors and developing cost-effective interventions is recommended.
- Further research is needed to validate preemptive strategies for improving PPC outcomes.
Purpose Of Review:
This review of progress toward reliable prediction of postoperative pulmonary complications (PPCs) discusses risk assessment against the background of patient management strategies, clinical outcomes, and cost of healthcare.
Recent Findings:
Among the variety of conditions grouped as PPCs are pneumonia, aspiration pneumonitis, respiratory failure, reintubation within 48 h, weaning failure, pleural effusion, atelectasis, bronchospasm, and pneumothorax. PPC incidence rates range from 2 to 40% depending on context. These events increase mortality, postoperative length of stay, ICU admissions, hospital readmissions, and costs. PPC-associated mortality varies, but can reach as high as 48% in some contexts. ICU admission rates are between 9.5 and 91% higher in patients with PPCs. The mean increase in PPC-related postoperative length of stay is approximately 8 days. The cost of surgery can be two-fold to 12-fold higher when PPCs develop. Strategies proposed to reduce the impact of modifiable risk factors include alcohol and smoking abstinence before surgery, shortening the duration of surgery, and physiotherapy and incentive spirometry techniques; however, little scientific evidence supports them at this time.
Summary:
PPCs are associated with a higher incidence of life-threatening events and higher costs. Reliable PPC risk-stratification tools are essential for guiding clinical decision-making in the perioperative period. The care team can act on modifiable factors and optimize vigilance over nonmodifiable ones. It would be useful to focus resources on determining whether low-cost preemptive interventions improve outcomes satisfactorily or new strategies need to be developed.
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