Association between the frequency of surgeries for video-assisted thoracic surgery and the incidence of consequent surgical site infections: a retrospective observational study based on national surveillance data

Comprehensive value implications of surgeon volume for lung cancer surgery: Use of an analytic framework within a regional health system

Objective

We used a framework to assess the value implications of thoracic surgeon operative volume within an 8-hospital health system.

Methods

Surgical cases for non-small cell lung cancer were assessed from March 2015 to March 2021. High-volume (HV) surgeons performed >25 pulmonary resections annually. Metrics include length of stay, infection rates, 30-day readmission, in-hospital mortality, median 30-day charges and direct costs, and 3-year recurrence-free and overall survival. Multivariate regression-based propensity scores matched patients between groups. Metrics were graphed on radar charts to conceptualize total value.

Results

All 638 lung resections were performed by 12 surgeons across 6 hospitals. Two HV surgeons performed 51% (n = 324) of operations, and 10 low-volume surgeons performed 49% (n = 314). Median follow-up was 28.8 months (14.0-42.3 months). Lobectomy was performed in 71% (n = 450) of cases. HV surgeons performed more segmentectomies (33% [n = 107] vs 3% [n = 8]; P < .001). Patients of HV surgeons had a lower length of stay (3 [2-4] vs 5 [3-7]; P < .001) and infection rates (0.6% [n = 1] vs 4% [n = 7]; P = .03). Low-volume and HV surgeons had similar 30-day readmission rates (14% [n = 23] vs 7% [n = 12]; P = .12), in-hospital mortality (0% [n = 0] vs 0.6% [n = 1]; P = .33), and oncologic outcomes; 3-year recurrence-free survival was 95% versus 91%; P = .44, and 3-year overall survival was 94% versus 90%; P = 0. Charges were reduced by 28%, and direct costs were reduced by 23% (both P < .001) in the HV cohort.

Conclusions

HV surgeons provide comprehensive value across a health system. This multidomain framework can be used to help drive oncologic care decisions within a health system.

Development of a Nomogram for Predicting Surgical Site Infection in Patients with Resected Lung Neoplasm Undergoing Minimally Invasive Surgery

Background: Predictive models are necessary to target high-risk populations and provide precision interventions for patients with lung neoplasm who suffer from surgical site infections (SSI). Patients and Methods: This case control study included patients with lung neoplasm who underwent minimally invasive surgeries (MIS). Logistic regression was used to generate the prediction model of SSI, and a nomogram was created. A receiver operator characteristic (ROC) curve was used to examine the predictive value of the model. Results: A total of 151 patients with SSI were included, and 604 patients were randomly selected among the patients without SSI (ratio 4:1). Male gender (odds ratio [OR], 2.55; 95% confidence interval [CI], 1.57-4.15; p < 0.001), age >60 years (OR, 2.10; 95% CI, 1.29-3.44, p = 0.003), operation time >60 minutes (all categories, p < 0.05), treatments for diabetes mellitus (OR, 2.96; 95% CI, 1.75-4.98l; p < 0.001), and best forced expiratory volume in 1 second (FEV₁)/forced vital capacity (FVC; OR, 0.96; 95% CI, 0.94-0.99; p = 0.008) were independently associated with SSI. The model based on these variables showed an area under the curve (AUC) of 0.813 for predicting SSI. Conclusions: A nomogram predictive model was successfully established for predicting SSI in patients receiving MIS, with good predictive value.

Surgical site infection following minimally invasive lobectomy: Is robotic surgery superior?

Background

Surgical site infection (SSI) in thoracic surgery remains a significant cause of morbidity and prolonged hospitalization. Minimally invasive surgery (MIS) has significantly reduced the risk of SSI. We intended to compare whether there was difference between video‐assisted thoracic surgery (VATS) and robotic‐assisted thoracic surgery (RATS) in SSI and highlight possible factors influencing SSI in lobectomy.

Methods

This retrospective study analyzed patients who underwent minimally invasive lobectomy from January 2018 to December 2019. All patients' clinical characteristics and surgery‐related information which may be related to the likelihood of SSI were recorded.

Results

A total of 1231 patients' records were reviewed with 806 VATS and 425 RATS. SSI was classified as deep or superficial SSI. Eighty‐six (7.0%) patients were found to develop an SSI with 62 patients having deep infections and 24 had superficial infection. No statistical difference in the incidence rate and category of SSI was observed between patients undergoing VATS and RATS.

Conclusions

There was no difference in the incidence of SSI between VATS and RATS lobectomy. Male gender, heavy smoking, uncontrolled diabetes mellitus, body mass index (BMI) > 27.9, more blood loss, and the higher National Healthcare Safety Network (NHSN) risk index score (1 or 2) were the independent risk factors of SSI following minimally invasive lobectomy, while male gender, uncontrolled diabetes mellitus, BMI > 27.9, more blood loss and the higher NHSN risk index score (1 or 2) were the main predictors of deep SSI.