This randomized phase III trial studies how well management of a tobacco treatment intervention works in reducing surgical complications in patients with newly diagnosed lung cancer who smoke cigarettes. Management of a tobacco treatment intervention compares varenicline (a drug that reduces the craving and withdrawal symptoms that occur with abstinence from nicotine) and behavioral interventions (consisting of a brief clinician-delivered intervention and tobacco quitline \[tobacco cessation service available through a toll-free telephone number\] follow-up) with placebo (a pill with no active medication) along with similar behavioral interventions. It is not yet known whether management of a tobacco treatment intervention is more effective in reducing surgical complications than placebo.
PRIMARY OBJECTIVES: I. To determine if varenicline plus a behavioral intervention consisting of a brief clinician-delivered intervention and tobacco quitline follow-up, decreases postsurgical complications through 24 weeks after surgery when compared to placebo plus the behavioral intervention in lung cancer patients who undergo surgery and are motivated to stop smoking. SECONDARY OBJECTIVES: I. To compare changes from baseline to 12 and 24 weeks after surgery in the patient quality of life (Linear Analogue Self-Assessment \[LASA\]-12) domains between the intervention (varenicline) and control group (placebo). II. To compare changes from baseline to 6, 12 and 24 weeks after surgery in the patient quality of life related domains (LASA) for the Patient Health Questionnaire (PHQ)-9 and Smoking Self Efficacy Questionnaire (SEQ)12 between the intervention and control groups. III. To compare the proportion of patients 12 weeks and 24 weeks after surgery who endorse ("Was It Worth It") each treatment (intervention versus \[vs\] control groups). IV. To compare post-operative care (as measured by length of hospital and high dependency unit stay) between the intervention and control groups. V. To compare treatment adherence between the intervention and control groups. VI. To compare rates of smoking abstinence between the intervention and control groups as a covariate of the primary outcome only.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
DOUBLE
Enrollment
23
Fairbanks Memorial Hospital
Fairbanks, Alaska, United States
Kingman Regional Medical Center
Kingman, Arizona, United States
Baptist Memorial Hospital and Fowler Family Cancer Center - Jonesboro
Jonesboro, Arkansas, United States
PCR Oncology
Arroyo Grande, California, United States
Veterans Affairs Loma Linda Healthcare System
Loma Linda, California, United States
Mortality
Number of patients that died within 30 days of surgery
Time frame: Up to 30 days post-surgery
Re-hospitalization
Number of patients re-hospitalized within 30 days of surgery
Time frame: Up to 30 days post-surgery
Number of Paticipants With Incidence of Pulmonary Complications
Surgical complication incidence rates at 24 weeks after surgery will be compared between the intervention vs. control groups using a Fisher's exact test. Logistic regression models will supplement the univariate analysis, using complication incidence as the dependent variable and will include smoking status at the time of surgery as an independent variable and also adjust for age, gender, Fagerström Test for Nicotine Dependence (FTND), time between randomization and surgery, and presence of adjuvant chemotherapy and/or radiation therapy. We will also explore the collinear relationship between arm and smoking status to see whether they can be included together in the logistic models.
Time frame: Up to 24 weeks post-surgery
Number of Participants With Incidence of Intensive Care Unit Readmission
Surgical complication incidence rates at 24 weeks after surgery will be compared between the intervention vs. control groups using a Fisher's exact test. Logistic regression models will supplement the univariate analysis, using complication incidence as the dependent variable and will include smoking status at the time of surgery as an independent variable and also adjust for age, gender, FTND, time between randomization and surgery, and presence of adjuvant chemotherapy and/or radiation therapy. A separate logistic model will be created including treatment arm instead of smoking status. We will also explore the collinear relationship between arm and smoking status to see whether they can be included together in the logistic models.
Time frame: Up to 24 weeks post-surgery
Number of Participants With Incidence of Unspecified Wound Infection
Surgical complication incidence rates at 24 weeks after surgery will be compared between the intervention vs. control groups using a Fisher's exact test. Logistic regression models will supplement the univariate analysis, using complication incidence as the dependent variable and will include smoking status at the time of surgery as an independent variable and also adjust for age, gender, FTND, time between randomization and surgery, and presence of adjuvant chemotherapy and/or radiation therapy. A separate logistic model will be created including treatment arm instead of smoking status. We will also explore the collinear relationship between arm and smoking status to see whether they can be included together in the logistic models.
Time frame: Up to 24 weeks post-surgery
Number of Participants With Incidence of Anastomotic Failure
Surgical complication incidence rates at 24 weeks after surgery will be compared between the intervention vs. control groups using a Fisher's exact test. Logistic regression models will supplement the univariate analysis, using complication incidence as the dependent variable and will include smoking status at the time of surgery as an independent variable and also adjust for age, gender, FTND, time between randomization and surgery, and presence of adjuvant chemotherapy and/or radiation therapy. A separate logistic model will be created including treatment arm instead of smoking status. We will also explore the collinear relationship between arm and smoking status to see whether they can be included together in the logistic models.
Time frame: Up to 24 weeks post-surgery
Change in QOL as Measured by the LASA-12, PHQ-9, SEQ-12
Analysis of covariance and linear mixed model repeated measures analysis will be used for each assessment domain (LASA-12, PHQ-9, SEQ12).
Time frame: Baseline up to 24 weeks after surgery
Change in QOL as Measured by Was It Worth It Assessments
Time frame: At 12 weeks after surgery
Change in QOL as Measured by Was It Worth It Assessments
Time frame: At 24 weeks after surgery
Length of Hospital Stay
Logrank testing of Kaplan-Meier estimates will be used for length of hospital stay and supplemented by Cox models to control for concomitant covariates.
Time frame: The time from surgery until the patient is released from the hospital
Length of High Dependency Unit Stay
Logrank testing of Kaplan-Meier estimates will be used for length of high dependency unit stay and supplemented by Cox models to control for concomitant covariates.
Time frame: The time from surgery until the patient is released from the hospital
Expanded Complication Rate
Time frame: Up to 1 year
Treatment Adherence Rates Related to Visits, Medication Compliance, Quitline Usage, and Surgeon Teachable Moment Delivery
Time frame: Up to 12 weeks
Smoking Abstinence Rates as Measured by Self-report
Time frame: Up to 12 weeks
Smoking Abstinence Rates as Measured by Salivary Cotinine Testing
Time frame: Up to 12 weeks
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Eisenhower Medical Center
Rancho Mirage, California, United States
Saint Helena Hospital
St. Helena, California, United States
Rocky Mountain Cancer Centers-Aurora
Aurora, Colorado, United States
The Medical Center of Aurora
Aurora, Colorado, United States
University of Colorado Hospital
Aurora, Colorado, United States
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