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Galina Velikova



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    P3.16 - Treatment of Early Stage/Localized Disease (Not CME Accredited Session) (ID 982)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/26/2018, 12:00 - 13:30, Exhibit Hall
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      P3.16-08 - Baseline Quality of Life is Influenced by the Duration of Abstinence from Smoking in Candidates to Lung Cancer Surgery (ID 12350)

      12:00 - 13:30  |  Author(s): Galina Velikova

      • Abstract
      • Slides

      Background

      The optimal interval of smoking cessation before Non-Small Cell Lung Cancer (NSCLC) surgery is still unknown. The objective of this study is to evaluate the influence of smoking cessation on the preoperative quality of life (QoL) of surgical NSCLC patients.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      266 consecutive ever smokers (133 females) with a pack year history >=20 undergoing lung resections for NSCLC and with complete preoperative QoL data were analysed. The EORTC QoL summary score was calculated (SumS) as the average of the individual functional and reversed symptom scales (excluding Global-Health and Financial-Impact scales). The following smoking-related variables were tested for a possible association with SumS: age when the patient quit smoking and months elapsed from smoking cessation (for current smokers a value of 0 was used). These variables were entered as independent predictors in a stepwise multivariable regression analysis along with several patient-related baseline factors.

      4c3880bb027f159e801041b1021e88e8 Result

      108 patients were current smokers, 158 were ex smokers (quit at least 1month before surgery). We found no difference of preoperative QoL SumS between current smokers and ex smokers (81.5 vs. 83.0, p=0.66). Amongst the 158 ex-smokers, 69 quit smoking before the age of 60. Their SumS was similar to the one of those who quit older (84.2 vs. 82.0, p=0.30). A linear regression showed a significant association between the duration of abstinence from smoke and their QoL SumS (coefficient 0.02, SE 0.009, p=0.03). When the analysis was adjusted for other confounders using a multivariable regression analysis, the duration of abstinence from smoking (p<0.0001-longer time better QoL)(Fig1) and the age at which the patient quit smoking (p=0.001-older age better QoL)remained independently associated with SumS along with performance score.

      Figure 1: Lowess Curve plotting SumS against the months elapsed from the time quit smoking.

      fig 1.tif

      8eea62084ca7e541d918e823422bd82e Conclusion

      Patients should be counselled to stop smoking prior surgery independently as the QoL has expected to increase.

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