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Conference Highlights: AATS 2016

Conference Highlights: AATS 2016

Predicting Air Leaks After Pulmonary Resection Better identification of patients at risk for prolonged air leak (PAL) after lung resection could help improve patient-specific intra- and postoperative care pathways. However, widely accepted risk stratification tools for PAL have yet to be developed. University of Pittsburgh researchers analyzed data on patients who underwent lung resection for benign or malignant lung tumors in order to identify factors associated with PAL and subsequently developed a clinically acceptable prediction model that can reliably assess PAL risk. The final model identified the following as risk factors for PAL: decreased FEV1, prior smoking, bilobectomy (versus lobectomy/segementectomy), high surgeon case load, prior lung surgery, right-sided resection, and thoracotomy. Low surgeon case load, wedge resection, patient BMI of less than 25 kg/m2, and unmeasured FEV1 were protective against PAL. —————————————————————-   Assessing Post-Esophagectomy Readmissions Identifying predictors of hospital readmissions may help improve patient management and outcomes. However, potentially modifiable risk factors of readmission after esophagectomy have not been well defined in clinical research. For a study, patients who underwent elective esophagectomy were contacted to ascertain if they had been admitted to any institution within 30 days of hospital discharge. The rate of 30-day readmission was 19%, mostly due to pulmonary and gastrointestinal complications. Postoperative ICU admission and perioperative blood transfusion were significantly associated with unplanned readmission. Increased glucose levels on Postoperative Day 1 was also associated with unplanned readmission, whereas American Society of Anesthesiologists score, gender, BMI, neoadjuvant therapy, and postoperative pain scores were not. —————————————————————-   Comparing Lobectomy Pain Outcomes The advantages of robot-assisted thoracic surgical (RATS) lobectomy have not been well defined in prior research....
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