Correlation Between Smoking Status and Short-term Outcome of Thoracoscopic Surgery for Lung Cancer

Effectiveness of a computer-facilitated intervention on improving provider delivery of tobacco treatment in a thoracic surgery and oncology outpatient setting: A pilot study

INTRODUCTION

Effective tobacco treatments are available but are often not delivered to individuals with an actual or potential diagnosis of thoracic malignancy. The specific aims of this study were to identify the prevalence of tobacco use and examine the effectiveness of the Clinical and community Effort Against Smoking and secondhand smoke Exposure (CEASE), a system-level computer-facilitated intervention, to improve provider delivery of tobacco treatment in a thoracic surgery and oncology outpatient setting.

METHODS

A pre-post-test design was used to assess the effectiveness of CEASE. A 3-step approach was used to integrate tobacco treatment into routine care: ask about tobacco use, assist with cessation, and refer to a quitline. An end-of-visit survey was conducted to collect prevalence of tobacco use and delivery of tobacco treatment. Descriptive statistics and Fisher's exact test were used for analysis.

RESULTS

A total of 218 individuals were enrolled; 105 participants were in usual care (UC) and 113 were in the CEASE group. Of those who enrolled, 27.6% were never smokers in UC and 27.7% in CEASE, 60% were former smokers in UC and 50% in CEASE, and 12.4% were current smokers in UC and 21.4% in CEASE. Significant differences were noted in delivery of tobacco treatment with 15.4% having received tobacco treatment in UC compared to 62.5% in CEASE (p<0.004).

CONCLUSIONS

A computer-facilitated intervention increased provider delivery of tobacco treatment in a thoracic surgery and oncology outpatient setting. This intervention provided a low-resource approach that has the potential to be scaled and implemented more broadly.

The prognostic value and model construction of inflammatory markers for patients with non-small cell lung cancer

The aim of this study was to investigate and analyse the predictive value of systemic inflammatory markers based on peripheral blood biomarkers for the prognosis of non-small cell lung cancer (NSCLC) patients. Based on a retrospective monitoring cohort of 973 NSCLC patients from an Affiliated Tumor Hospital from 2012 to 2023. The log-rank test and Cox proportional risk regression model were used to identify independent prognostic inflammatory markers. Subsequently, a nomogram prediction model was constructed and evaluated. The results of multivariate Cox regression analysis showed that patients with high NLR group (HR = 1.238, 95% CI 1.015-1.510, P = 0.035), and high CAR group (HR = 1.729, 95% CI 1.408-2.124, P < 0.001) were risk factors affecting the prognosis of NSCLC patients. The nomogram that includes age, tumor stage, smoking history, BMI, NLR, and CAR can effectively predict the prognosis of NSCLC patients.The inflammatory markers NLR and CAR, which combine inflammatory and nutritional status, are effective predictors of the prognosis of NSCLC patients. The combination of clinical information and these easily accessible inflammatory markers has significant research value for prognostic assessment, clinical treatment, and follow-up monitoring of NSCLC patients.

A simplified frailty index and nomogram to predict the postoperative complications and survival in older patients with upper urinary tract urothelial carcinoma

Purpose

This study was designed to investigate the clinical value of a simplified five-item frailty index (sFI) for predicting short- and long-term outcomes in older patients with upper urinary tract urothelial carcinoma (UTUC) patients after radical nephroureterectomy (RNU).

Method

This retrospective study included 333 patients (aged ≥65 years) with UTUC. Patients were classified into five groups: 0, 1, 2, 3, and 3+, according to sFI score. The variable importance and minimum depth methods were used to screen for significant variables, and univariable and multivariable logistic regression models applied to investigated the relationships between significant variables and postoperative complications. Survival differences between groups were analyzed using Kaplan-Meier plots and log-rank tests. Cox proportional hazards regression was used to evaluate risk factors associated with overall survival (OS) and cancer-specific survival (CSS). Further, we developed a nomogram based on clinicopathological features and the sFI. The area under the curve (AUC), Harrel's concordance index (C-index), calibration curve, and decision curve analysis (DCA) were used to evaluate the nomogram.

Result

Of 333 cases identified, 31.2% experienced a Clavien-Dindo grade of 2 or greater complication. Random forest-logistic regression modeling showed that sFI significantly influenced the incidence of postoperative complications in older patients (AUC= 0.756). Compared with patients with low sFI score, those with high sFI scores had significantly lower OS and CSS (p < 0.001). Across all patients, the random survival forest-Cox regression model revealed that sFI score was an independent prognostic factor for OS and CSS, with AUC values of 0.815 and 0.823 for predicting 3-year OS and CSS, respectively. The nomogram developed was clinically valuable and had good ability to discriminate abilities for high-risk patients. Further, we developed a survival risk classification system that divided all patients into high-, moderate-, and low-risk groups based on total nomogram points for each patient.

Conclusion

A simple five-item frailty index may be considered a prognostic factor for the prognosis and postoperative complications of UTUC following RNU. By using this predictive model, clinicians may increase their accuracy in predicting complications and prognosis and improve preoperative decision-making.

Surgeon behaviors related to engaging patients in smoking cessation at the time of elective surgery

BACKGROUND

Despite the abundance of evidence supporting smoking cessation before elective surgery, there is wide variation in surgeon adherence to these best practices.

METHODS

This qualitative study used convenience sampling to recruit General Surgery trained surgeons. Surgeons participated in semi-structured interviews based on domains from the Theoretical Domains Framework (TDF). Content analysis was guided by the TDF.

RESULTS

Of the 14 TDF domains, social or professional role/identity, memory, attention and decision processes, environmental context and resources, and beliefs about consequences emerged most frequently. Mapping these domains to the Behavior Change Wheel identified education, enablement, and incentivization as effective intervention functions.

CONCLUSIONS

Using the TDF, this study identified a widespread sense of responsibility among surgeons to engage patients in perioperative smoking cessation despite workplace barriers and lacking resources. These findings provide valuable insight to facilitate surgeon participation in health promotion through targeted, theory-based interventions informed by surgeon identified barriers to perioperative smoking cessation.

Identification of preoperative risk factors associated with prolonged length of stay after lobectomy

Objective

To examine the association between length of stay (LOS) after lobectomy and operative adverse events and define the best predictors and risk factors associated with prolonged LOS after lobectomy.

Methods

Data from patients undergoing thoracoscopic lobectomy in the Thoracic Surgery Department of our center between January 2015 and December 2021 were retrospectively analyzed. The association between operative adverse events and LOS after lobectomy was explored using receiver operating characteristic (ROC) curves, and multivariate logistic regression analyses were used to identify preoperative risk factors associated with prolonged LOS after lobectomy.

Results

Prolonged LOS after lobectomy was defined as a LOS after lobectomy that is > 3.5 days based on an optimal diagnostic value for operative adverse events (AUC = 0.882). Of the included patients, 20.9% (91/435) exceeded this threshold, of whom 52.7% (48/91) exhibited operative adverse events. The preoperative risk factors associated with prolonged LOS after lobectomy were age≥60 years old (OR = 9.632, 95%CI 1.126-75.66, p = 0.03), being a current smoker (OR = 2.702, 95%CI 1.547-4.72, P < 0.001), an American Society of Anesthesiology (ASA) classification of 2 or higher (OR = 1.845, 95%CI 1.06-3.211, P = 0.03), ASA = 3 (OR = 9.133, 95%CI 3.281-25.425, P < 0.001), and Stage IIIA disease (OR = 6.565, 95%CI 2.823-15.271, P < 0.001). Prolonged LOS after lobectomy was significantly associated with the incidence of different operative adverse events, including conversion to thoracotomy, an operative duration of ≥300 min, blood transfusion events, chest tube drainage time, postoperative complications, and postoperative interventions (P < 0.001).

Conclusion

The risk of prolonged LOS after lobectomy is higher in patients that are ≥60 years old, current smokers, exhibit an ASA classification of 2 or higher, and have a stage IIIA disease. Early identification of these risk factors can enhance the treatment offered to high-risk patients, thereby reducing the rates of operative adverse events and optimizing resource utilization.