The relativity of operative time on the outcomes of the video-assisted thoracoscopic lobectomies

Predictors of 30-Day Pulmonary Complications after Video-Assisted Thoracoscopic Surgery Lobectomy

BACKGROUND

 Pulmonary complications are the most common adverse event after lung resection, yet few large-scale studies have examined pertinent risk factors after video-assisted thoracoscopic surgery (VATS) lobectomy. Veterans, older and less healthy compared with nonveterans, represent a cohort that requires further investigation. Our objective is to determine predictors of pulmonary complications after VATS lobectomy in veterans.

METHODS

 A retrospective review was conducted on patients who underwent VATS lobectomy from 2008 to 2018 using the Veterans Affairs Surgical Quality Improvement Program database. Patients were divided into two cohorts based on development of a pulmonary complication within 30 days. Patient characteristics were compared via multivariable analysis to determine clinical predictors associated with pulmonary complication and reported as adjusted odds ratios (aORs) with 95% confidence intervals. Patients with preoperative pneumonia, ventilator dependence, and emergent cases were excluded.

RESULTS

 In 4,216 VATS lobectomy cases, 480 (11.3%) cases had ≥1 pulmonary complication. Preoperative factors independently associated with pulmonary complication included chronic obstructive pulmonary disease (COPD) (aOR = 1.37 [1.12-1.69]; p = 0.003), hyponatremia (aOR = 1.50 [1.06-2.11]; p = 0.021), and dyspnea (aOR = 1.33 [1.06-1.66]; p = 0.013). Unhealthy alcohol consumption was associated with pulmonary complication via univariable analysis (17.1 vs. 13.0%; p = 0.016). Cases with pulmonary complication were associated with increased mortality (12.1 vs. 0.8%; p < 0.001) and longer length of stay (12.0 vs. 6.8 days; p < 0.001).

CONCLUSION

 This analysis revealed several preoperative factors associated with development of pulmonary complications. It is imperative to optimize pulmonary-specific comorbidities such as COPD or dyspnea prior to VATS lobectomy. However, unhealthy alcohol consumption and hyponatremia were linked with development of pulmonary complication in our analysis and should be addressed prior to VATS lobectomy. Future studies should explore long-term consequences of pulmonary complications.

Is faster better? Impact of operative time on postoperative outcomes after VATS anatomical pulmonary resection

Background

Video-assisted thoracic surgery (VATS) is now the preferred approach for standard anatomical pulmonary resections. This study evaluates the impact of operative time (OT) on post-operative outcomes after VATS anatomical pulmonary resection for non-small cell lung cancer (NSCLC).

Methods

We retrospectively reviewed all consecutive patients undergoing VATS lobectomy or segmentectomy for NSCLC between November 2010 and December 2019. Postoperative outcomes were compared between short (<150 minutes) and long (≥150 minutes) OT groups. A multivariable analysis was performed to identify predictors of long OT and overall post-operative complications.

Results

A total of 670 patients underwent lobectomy (n=496, 74%) or segmentectomy (n=174, 26%) for NSCLC. Mediastinal lymph node dissection was performed in 621 patients (92.7%). The median OT was 141 minutes (SD: 47 minutes) and 387 patients (57.8%) were operated within 150 minutes. Neoadjuvant chemotherapy was given in 25 patients (3.7%). Conversion thoracotomy was realized in 40 patients (6%). Shorter OT was significantly associated with decreased post-operative overall complication rate (30% vs. 41%; P=0.003), shorter median length of drainage (3 vs. 4 days; P<0.001) and shorter median length of hospital stay (6 vs. 7 days; P<0.001). On multivariable analysis, long OT (≥150 minutes) (OR 1.64, P=0.006), ASA score >2 (OR 1.87, P=0.001), FEV₁ <80% (OR 1.47, P=0.046) and DLCO <80% (OR 1.5, P=0.045) were significantly associated with postoperative complications. Two predictors of long OT were identified: neoadjuvant chemotherapy (OR 3.11, P=0.01) and lobectomy (OR 1.5, P=0.032).

Conclusions

A prolonged OT is significantly associated with postoperative complications in our collective of patients undergoing VATS anatomical pulmonary resection.

Computerized Tomography Image Features under the Reconstruction Algorithm in the Evaluation of the Effect of Ropivacaine Combined with Dexamethasone and Dexmedetomidine on Assisted Thoracoscopic Lobectomy

This research was aimed to study CT image features based on the backprojection filtering reconstruction algorithm and evaluate the effect of ropivacaine combined with dexamethasone and dexmedetomidine on assisted thoracoscopic lobectomy to provide reference for clinical diagnosis. A total of 110 patients undergoing laparoscopic resection were selected as the study subjects. Anesthesia induction and nerve block were performed with ropivacaine combined with dexamethasone and dexmedetomidine before surgery, and chest CT scan was performed. The backprojection image reconstruction algorithm was constructed and applied to patient CT images for reconstruction processing. The results showed that when the overlapping step size was 16 and the block size was 32 × 32, the running time of the algorithm was the shortest. The resolution and sharpness of reconstructed images were better than the Fourier transform analytical method and iterative reconstruction algorithm. The detection rates of lung nodules smaller than 6 mm and 6–30 mm (92.35% and 95.44%) were significantly higher than those of the Fourier transform analytical method and iterative reconstruction algorithm (90.98% and 87.53%; 88.32% and 90.87%) (P < 0.05). After anesthesia induction and lobectomy with ropivacaine combined with dexamethasone and dexmedetomidine, the visual analogue scale (VAS) decreased with postoperative time. The VAS score decreased to a lower level (1.76 ± 0.54) after five days. In summary, ropivacaine combined with dexamethasone and dexmedetomidine had better sedation and analgesia effects in patients with thoracoscopic lobectomy. CT images based on backprojection reconstruction algorithm had a high recognition accuracy for lung lesions.