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Introduction Nicotine dependence is known to be a chronic remitting and relapsing addictive disorder. Among cancer patients who smoke, nicotine addiction has been found to be more when compared with smoking healthy individuals. Smokerlyzer machine can be used to test smoking substance use and de-addiction services can be provided at Preventive Oncology units. The objectives of the study include: (i) To assess eCO using a Smokerlyzer hand-held machine and correlate it with the smoking status, (ii) To assess the cut-off value for smoking use, and discusses the benefits of this method. Methods In this cross-sectional study, healthy individuals at the workplace were tested for exhaled CO (eCO), which is used as a biological marker for monitoring the tobacco smoking. We discuss the feasibility of testing and its implications for cancer patients. The Bedfont EC50 Smokerlyzer machine was used to measure the concentration of CO in the end-tidal expired air. Results Among 643 study subjects, we found a statistically significant difference (P < .001) of median (IQR) eCO (measured in ppm) among smokers and non-smokers 2(1,5) vs 1(1,2). A significant and moderate positive correlation (Spearman rank correlation coefficient: .463) was observed between eCO and subjects who used cigarettes (measured in pack years). The ROC curve shows a cut off value for eCO as 2.5 with sensitivity 43.6% and 1 – specificity 2.76% (Specificity: 97.24%), which was rounded to 3. The area under the curve is 74.9%, which indicates a moderate discrimination performance of the test. The diagnostic accuracy of the test is 82.89%, which shows the proportion of correct test results. Conclusion Estimating eCO in health care settings will enable monitoring the smoking substance use which has important impact on clinical outcomes. In cancer hospitals, when the goal is complete abstinence a stringent CO cutoff in the range of 3-4 ppm should be used.

Introduction Cancer patients commonly present with antecedent addiction to tobacco consumption. Our study describes the characteristics of this substance use. Following the diagnosis of cancer, continued consumption of tobacco results in reduced tolerance to treatment, failure of treatment, tumor progression, other primary tumors, secondary cancers, and poor quality of life. The aim of our study is to enumerate the clinico-social aspects of tobacco consumption among cancer patients. Methods This cross-sectional study includes 100 cancer patients admitted to Healthcare Global cancer hospital, Bangalore, India. The study subjects were assessed for tobacco consumption, as well as other substance use such as intake of alcohol. We assessed various dimensions of exposure to tobacco consumption such as duration, intensity, and cumulative dose as independent risk factors for cancer. Results Among the study subjects, 46.2% were found to smoke filter cigarettes. The mean duration of tobacco consumption among beedi users was found to be longer (25.9 years, SD: 14.4). When stratified for exclusive consumption, the mean durations were as follows: beedis (29 ± 14.4 years), cigarettes (23.8 ± 13.3 years), and chewing (15.9 ± 9.6 years). Along with tobacco, a large proportion (59.3%) of patients consumed alcohol as well. After attempts to quit, 89.01% patients had reversal of tobacco substance use. The data did not show significance for duration, intensity, and cumulative dose of tobacco consumption. Conclusion The diagnosis of cancer is a life-altering event, which results in higher motivation to quit the use of tobacco. Smoking cessation initiatives can reduce the risk of developing tobacco-related malignancies.