Social environment as a predictor of smoking cessation and recidivism in lung cancer survivors.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 9032-9032
Author(s):  
Lawson Eng ◽  
Jie Su ◽  
Prakruthi R. Palepu ◽  
Henrique Hon ◽  
Ehab Fadhel ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Smoking Cessation ◽  
Cancer Patients ◽  
Social Environment ◽  
Smoking History ◽  
Recidivism Rates ◽  
Lung Cancer Patients ◽  
Never Smokers ◽  
At Home

9032 Background: Smoking during cancer treatment negatively impacts treatment, survival and quality of life. Lung cancer patients with a smoking history often continue to smoke; some ex-smokers re-start after diagnosis. Social environment impacts cessation and recidivism rates in non-cancer patients. We assessed whether the same influences occur among lung cancer patients. Methods: Lung cancer patients, recruited from Princess Margaret Hospital, completed a baseline questionnaire about their demographics and smoking history (at diagnosis). A follow-up questionnaire was administered at a median of two years, assessing changes in smoking habits, exposure at home/work/among friends, healthcare use, social support and alcohol use since diagnosis. The relationship between each variable with cessation/recidivism was analyzed. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated. Results: 478 patients completed both questionnaires. Of the 100 current smokers at diagnosis; 52 quit by the time of the follow-up questionnaire. Among 294 ex-smokers, 15 started to smoke after diagnosis. None of the 84 never smokers at baseline started to smoke after diagnosis. Exposure to smoking at home was associated with continued smoking and relapse (OR=5.1, 95% CI: 1.8–14.3, p=0.001; and OR=3.9, 95% CI: 0.8–14.4, p=0.04, respectively). Specifically, spousal smoking was associated with both continued smoking (OR=7.3, 95% CI: 2.4–21.7, p=2.0E-04) and recidivism (OR=3.7, 95% CI: 0.6–16.6, p=0.08). Having more than a few friends who smoke is associated with continued smoking (OR=3.5, 95% CI: 1.4–8.7, p=0.005) and relapse (OR=4.8, 95% CI: 1.5–15.0, p=0.004). Not completing high school was also associated with continued smoking (OR=3.0, 95% CI: 1.2–7.6, p=0.02). Multivariate analysis identified spousal smoking as the major single predictor of continued smoking (OR=8.8, 95% CI: 2.2–34.8, p=0.002). Conclusions: Smoking cessation programs for lung cancer patients should not only target the patient but also include the immediate family, consider a patient’s peers and be tailored to the patient’s education level. Involvement of the immediate family and consideration of peers may help prevent smoking relapse.

Developing a comprehensive smoking cessation program in patients with lung cancer: The role of social smoking environments.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 75-75
Author(s):  
Lawson Eng ◽  
Jie Su ◽  
Xin Qiu ◽  
Prakruthi R. Palepu ◽  
Henrique Hon ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Smoking Cessation ◽  
Cancer Patients ◽  
Past History ◽  
Lung Cancer Patients ◽  
Quitting Smoking ◽  
Key Factor ◽  
History Of ◽  
Never Smokers

75 Background: Smoking during cancer treatment negatively impacts outcome, survival, and quality of life. Social smoking environments (SSEs) (i.e., smoking in household, peers, and spouse) influence cessation rates in non-cancer patients, but are understudied in cancer patients. Methods: Lung cancer patients, recruited from Princess Margaret Hospital (2006-2012) were given baseline and follow-up questionnaires (median of 2 years apart) evaluating changes in smoking habits and SSEs. Multivariate logistic regression and Cox-proportional hazard models evaluated the association of socio-demographics, clinicopathological and SSE factors with smoking cessation and time to quitting, respectively. Results: 721 patients completed both questionnaires. Of the 261 current smokers at diagnosis, 180 (69%) had quit by follow-up. Among 318 ex-smokers, 5 re-started smoking after diagnosis. All of the 140 never smokers remained non-smoking. Home smoke exposure (OR=9.4; 95% CI: 3.4-26.2; p=2.0 x 10E-5), spousal smoking (OR=4.7, 95% CI:1.7-12.6; p=3.0 x 10E-3) and peer smoking (OR=2.6; 95% CI:1.1-6.1; p=0.03) were each associated with reduced cessation, adjusted for a base multivariate model that included education and past history of depression. Individuals with no SSE factors had a much higher chance of quitting smoking when compared to patients with multiple areas of SSEs (0 vs. 3, OR=16.4; 95% CI: 4.1-66.7; p=7.3 x 10E-5). Similar results were seen when using time-to-quitting as the outcome (0 vs 3, OR=4.4, 95% CI=1.4-14.1, p=0.01). Time to quitting analysis found that 60% of patients with at least one SSE who did quit, did so within 6 months of diagnosis. Subgroup analysis revealed similar associations in early- and late-stage patient groups. Conclusions: SSE is a key factor in smoking cessation, where household smoke exposures reduces the chance of quitting up to 9-fold. SSEs should be a key consideration when developing smoking cessation programs in lung cancer patients, as part of quality improvement strategies. Approaches incorporating household members or spouses into the smoking cessation intervention, around the time of diagnosis, should be researched further. GL and WX are co-senior authors.

Brain metastasis in a series of NSCLC: Egyptian experience.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18001-e18001
Author(s):  
Salah Eldeen Elmesidy ◽  
Mahmoud Abdelsalam ◽  
Husam Zawam
Keyword(s):  
Lung Cancer ◽  
Brain Metastasis ◽  
Brain Metastases ◽  
Cancer Patients ◽  
Univariate Analysis ◽  
Developing Brain ◽  
Smoking History ◽  
Lung Cancer Patients ◽  
Significant Difference

e18001 Background: Incidence of cerebral metastasis is increasing among lung cancer patients. Many factors have been reported associated with increase risk of brain metastasis. The aim of this retrospective analysis is to investigate the predictive factors for the development of brain metastasis in lung cancer patients. Methods: We retrospectively analyzed histologically proven lung cancer patients radiologically diagnosed of having brain metastases who presented to Kasr Al-Eini Center for Oncology (NEMROCK) in the period from 2004 till 2010, with follow up period of 6 months at least. The following factors were analyzed: age, gender, PS, smoking history, tumor size & grade preceding development of brain metastasis. Results: Our study included 403 patients. 67 patients (16.6%) experienced brain metastasis during the course of their disease. 40 (10%) patients had brain metastasis among other sites of distant spread at first presentation which represent 88.9% of patients presented with metastatic disease. In a median follow-up of 17.1 months (6-77) the time to develop brain metastasis (TTBM) for the whole group was 5 months (range 2-22 months) (95% CI : 4.3-7.7). The most important factor affecting the TTBM was the use of chemotherapy before developing brain metastasis with a median TTBM of 5.9 months (95%CI : 3.2-6.8) among those who received chemotherapy compared to 2 months among the patients who didn't receive chemotherapy (P= <0.0001). The second factor was PS at time of initial diagnosis (P= 0.027). The median OS after brain metastasis was 6 months (95% CI : 4.26-7.74). On univariate analysis, PS and use of chemotherapy after developing brain metastases showed statistically significant difference affecting OS. Conclusions: We concluded that PS as well as use of chemotherapy are the 2 main factors associated with shorter time to develop brain metastasis. PS and use of chemotherapy after developing brain metastases showed longer OS after developing brain metastases. Keywords: NSCLC, Brain metastasis, Egypt

scholarly journals Clinicopathological Profile of Patients with Lung Carcinoma in a Tertiary Care Center

2020 ◽  
Author(s):  
M.T. Chandramouli ◽  
Giridhar Belur Hosmane
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Lung Carcinoma ◽  
Care Center ◽  
Tertiary Care ◽  
Smoking History ◽  
Tertiary Care Center ◽  
Cell Type ◽  
Lung Cancer Patients ◽  
Incidence And Mortality

Abstract Introduction Among malignant diseases, lung carcinoma is the most common cancer in men worldwide in terms of both incidence and mortality. Its increasing incidence in developing countries like India is an important public health problem. This work aimed to study the demographic, clinical, radiological, and histological features of patients with confirmed lung cancer. Materials and Methods A total of 50 patients with histologically confirmed lung cancer at a tertiary care center in India from August 2016 to September 2018 were studied and analyzed. Results Out of 50 diagnosed lung cancer patients, 86% were men and 14% women; 31 (62%) patients were aged more than 60 years. Majority were smokers (84%) and all were men. Cough (94%) was the most common presenting symptom followed by dyspnea (68%), chest pain (48%), and hemoptysis (38%). Of the 50 patients, 29 (58%) had soft tissue density mass lesion on radiograph. Squamous cell carcinoma (SCC) was the diagnosed histological cell type in 24 (48%) patients and adenocarcinoma in 21 (42%) patients. Distant metastasis was observed in 20 (40%) patients. Conclusion In this study, the most common histopathological cell type is SCC. Patients aged more than 50 years and smokers are at high risk of lung cancer. Patients with a smoking history and persistent respiratory symptoms should be promptly evaluated for lung malignancy.

scholarly journals Surgically treated lung cancer patients: do they all smoke and would they all have been detected with lung cancer screening?

2018 ◽  
Vol 4 (3) ◽  
pp. 00001-2018 ◽  
Author(s):  
Tanel Laisaar ◽  
Bruno Sarana ◽  
Indrek Benno ◽  
Kaja-Triin Laisaar
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Cancer Patients ◽  
Lung Cancer Screening ◽  
University Hospital ◽  
Smoking History ◽  
Inclusion Criteria ◽  
Lung Cancer Patients ◽  
Cancer Screening Trial ◽  
Lung Cancer Detection

Since publication of the National Lung Cancer Screening Trial (NLST) results early lung cancer detection has been widely studied, targeting individuals based on smoking history and age. However, over recent decades several changes in lung cancer epidemiology, including risk factors, have taken place. The aim of the current study was to explore smoking prevalence among lung cancer patients who had been treated surgically or undergone a diagnostic operation and whether these patients would have met the NLST inclusion criteria.All patients operated on for lung cancer in a university hospital in Estonia between 2009 and 2015 were included. Data were collected from hospital records.426 patients were operated on for lung cancer, with smoking history properly documented in 327 patients (87 females; median age 67 years). 170 (52%) patients were smokers, 97 (30%) patients were ex-smokers and 60 (18%) patients were nonsmokers. The proportion of females among smokers was 15%, among ex-smokers was 9% and among nonsmokers was 87%. 107 of our patients would not have met the NLST age criteria and 128 of our patients would not have met the NLST smoking criteria. In total, 183 patients (56% (79% of females and 48% of males)) would not have met the NLST inclusion criteria.Only half of surgically treated lung cancer patients were current smokers and more than half did not meet the NLST inclusion criteria.

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