Transcervical Pulmonary Lobectomy

Author(s):  
Marcin Zieliński
Keyword(s):  
Author(s):  
Adil Sadiq ◽  
Felix G. Fernandez
Keyword(s):  

2018 ◽  
Vol 67 (02) ◽  
pp. 125-130 ◽  
Author(s):  
Charles Lee ◽  
David Strauss ◽  
Lauren Stone ◽  
Jill Stoltzfus ◽  
Matthew Puc ◽  
...  

Background Postoperative atrial fibrillation (POAF) affects 10 to 20% of noncardiac thoracic surgeries and increases patient morbidity and costs. The purpose of this study is to determine if preoperative CHA2DS2-VASc score can predict POAF after pulmonary lobectomy for nonsmall cell lung cancer. Methods Patients with complete CHA2DS2-VASc data who underwent lobectomies from January 2007 to January 2016 at a single institution were analyzed in a retrospective case–control study using a prospective database. An independent samples t-test was used to compare the mean CHA2DS2-VASc scores of POAF and non-POAF groups. A multivariable logistic regression analysis (MVA) evaluated the independent contribution of variables of the CHA2DS2-VASc score in predicting POAF. Chi-square test with univariate odds ratios (ORs) was used to determine a statistically significant cutoff score for predicting POAF. Results Of 525 total patients, 82 (15.6%) developed POAF (mean CHA2DS2-VASc score: 2.7) and 443 (84.4%) did not develop POAF (mean score: 2.3). Mean difference between these groups was significant at 0.43 (p = 0.01; 95% confidence interval [CI]: 0.09–0.76). In the MVA, significant predictors of POAF were age 65 to 74 years (adjusted OR [aOR] = 2.45; 95% CI: 1.31–4.70; p = 0.006) and age ≥75 years (aOR = 3.11; 95% CI: 1.62–5.95; p = 0.0006). Patients with CHA2DS2-VASc scores ≥5 had significantly increased OR for POAF (OR = 2.59; 95% CI: 1.22–5.50). Conclusions Preoperatively calculated CHA2DS2-VASc score can predict POAF in patients undergoing pulmonary lobectomy. Age is the most statistically significant independent predictor, and patients with scores ≥5 have significantly increased risk. Trials for POAF prophylaxis should target this population.


2016 ◽  
Vol 42 (3) ◽  
pp. 185-190 ◽  
Author(s):  
Ricardo Mingarini Terra ◽  
Pedro Henrique Xavier Nabuco de Araujo ◽  
Leticia Leone Lauricella ◽  
José Ribas Milanez de Campos ◽  
Herbert Felix Costa ◽  
...  

ABSTRACT Objective: To describe the implementation of a robotic thoracic surgery program at a public tertiary teaching hospital and to analyze its initial results. Methods: This was a planned interim analysis of a randomized clinical trial aimed at comparing video-assisted thoracoscopic surgery and robotic surgery in terms of the results obtained after pulmonary lobectomy. The robotic surgery program developed at the Instituto do Câncer do Estado de São Paulo, in the city of São Paulo, Brazil, is a multidisciplinary initiative involving various surgical specialties, as well as anesthesiology, nursing, and clinical engineering teams. In this analysis, we evaluated the patients included in the robotic lobectomy arm of the trial during its first three months (from April to June of 2015). Results: Ten patients were included in this analysis. There were eight women and two men. The mean age was 65.1 years. All of the patients presented with peripheral tumors. We performed right upper lobectomy in four patients, right lower lobectomy in four, and left upper lobectomy in two. Surgical time varied considerably (range, 135-435 min). Conversion to open surgery or video-assisted thoracoscopic surgery was not necessary in any of the cases. Intraoperative complications were not found. Only the first patient required postoperative transfer to the ICU. There were no deaths or readmissions within the first 30 days after discharge. The only postoperative complication was chest pain (grade 3), in two patients. Pathological examination revealed complete tumor resection in all cases. Conclusions: When there is integration and proper training of all of the teams involved, the implementation of a robotic thoracic surgery program is feasible and can reduce morbidity and mortality.


Surgery ◽  
2015 ◽  
Vol 158 (4) ◽  
pp. 899-910 ◽  
Author(s):  
Amin Madani ◽  
Julio F. Fiore ◽  
Yifan Wang ◽  
Jimmy Bejjani ◽  
Lojan Sivakumaran ◽  
...  

2012 ◽  
Vol 75 (5) ◽  
pp. 373-376 ◽  
Author(s):  
Timuçin Alar ◽  
Kenan Can Ceylan ◽  
Elif Duman ◽  
Ozan Usluer ◽  
Oktay Başok

2017 ◽  
Vol 9 (9) ◽  
pp. 3215-3221
Author(s):  
Ottavio Rena ◽  
Sara Parini ◽  
Esther Papalia ◽  
Fabio Massera ◽  
Davide Turello ◽  
...  
Keyword(s):  

Surgery ◽  
2019 ◽  
Vol 166 (2) ◽  
pp. 211-217
Author(s):  
Pavit S. Deol ◽  
Joseph Sipko ◽  
Ambuj Kumar ◽  
Athanasios Tsalatsanis ◽  
Carla C. Moodie ◽  
...  

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