Tønnesen Philip, Lawrence David, Tonstad Serena
Pulmonary Medicine, Søernes Privathospital, Frederiksberg, Denmark.
Center for Sleep Medicine, Søernes Privathospital, Frederiksberg, Denmark.
Tob Induc Dis. 2022 May 10;20:46. doi: 10.18332/tid/146567. eCollection 2022.
Greater understanding is required of how smokers with smoking-related diseases respond to smoking cessation medications. This analysis of EAGLES data compared continuous abstinence rates (CARs) in smokers with/without smoking-related diseases and assessed participant demographic and baseline characteristics that may serve as predictors of continuous abstinence (CA).
EAGLES was a 24-week (12-week treatment, 12-week follow-up), double-blind, active- (nicotine replacement therapy; patch) and placebo-controlled study in motivated-to-quit smokers with/without psychiatric disorders. This analysis assessed CARs at weeks 9-12 (CAR9-12) and 9-24 (CAR9-24) in participants with smoking-related diseases [asthma, chronic obstructive pulmonary disease (COPD), diabetes, and/or cardiovascular disease (n=1372)] versus controls without these comorbidities (n=6039). Participants received varenicline 1 mg twice daily, bupropion 150 mg twice daily, nicotine patches 21 mg/day with taper, or placebo for 12 weeks. Stepwise logistic modeling was also performed to analyze odds ratio (OR) for predictors of CA at weeks 9-12 (CA9-12) and 9-24 (CA9-24).
Smokers with smoking-related diseases were older, had a longer smoking history, more quit attempts, and were more likely to have a psychiatric disorder and reside in the US versus smokers without comorbidities. Fagerström Test for Cigarette Dependence scores and treatment adherence were comparable between cohorts. Smokers with smoking-related diseases had lower CARs versus controls (CAR9-12: 20.8% vs 24.0%; CAR9-24: 13.0% vs 16.9%). Use of smoking cessation medication was the strongest predictor of CA after control for demographics, smoking characteristics, and psychiatric disorder. By treatment, OR and CI were: varenicline CA9-12 (OR=3.82; 95% CI: 3.21-4.54) and CA9-24 (OR=2.92; 95% CI: 2.40-3.54); bupropion CA9-12 (OR=2.17; 95% CI: 1.81-2.60) and CA9-24 (OR=1.99; 95% CI: 1.63-2.44); nicotine patches CA9-12 (OR=2.23; 95% CI: 1.87-2.67) and CA9-24 (OR=1.86; 95% CI: 1.52-2.28).
Smokers with smoking-related diseases had lower quit rates than controls. Of the active treatments compared, varenicline was most effective in smokers with asthma, COPD, diabetes, or cardiovascular disease.
NCT01456936 (https://clinicaltrials.gov/ct2/show/NCT01456936).
对于患有吸烟相关疾病的吸烟者如何对戒烟药物做出反应,我们需要有更深入的了解。这项对EAGLES数据的分析比较了患有/未患有吸烟相关疾病的吸烟者的持续戒烟率(CARs),并评估了可能作为持续戒烟(CA)预测指标的参与者人口统计学和基线特征。
EAGLES是一项为期24周(12周治疗期,12周随访期)的双盲、活性药物(尼古丁替代疗法;贴片)和安慰剂对照研究,研究对象为有/无精神疾病的有戒烟意愿的吸烟者。该分析评估了患有吸烟相关疾病(哮喘、慢性阻塞性肺疾病(COPD)、糖尿病和/或心血管疾病,n = 1372)的参与者与无这些合并症的对照组(n = 6039)在第9 - 12周(CAR9 - 12)和第9 - 24周(CAR9 - 24)的CARs。参与者接受1毫克伐尼克兰每日两次、150毫克安非他酮每日两次、21毫克/天的尼古丁贴片并逐渐减量,或安慰剂治疗12周。还进行了逐步逻辑回归建模,以分析第9 - 12周(CA9 - 12)和第9 - 24周(CA9 - 24)持续戒烟预测指标的比值比(OR)。
与无合并症的吸烟者相比,患有吸烟相关疾病的吸烟者年龄更大,吸烟史更长,尝试戒烟次数更多,并且更有可能患有精神疾病且居住在美国。两组之间的香烟依赖程度法格斯特龙测试得分和治疗依从性相当。患有吸烟相关疾病的吸烟者的CARs低于对照组(CAR9 - 12:20.8%对24.0%;CAR9 - 24:13.0%对16.9%)。在对人口统计学、吸烟特征和精神疾病进行控制后,使用戒烟药物是持续戒烟的最强预测指标。按治疗方法,OR和CI分别为:伐尼克兰CA9 - 12(OR = 3.82;95% CI:3.21 - 4.54)和CA9 - 24(OR = 2.92;95% CI:2.40 - 3.54);安非他酮CA9 - 12(OR = 2.17;95% CI:1.81 - 2.60)和CA9 - 24(OR = 1.99;95% CI:(1.63 - 2.44);尼古丁贴片CA9 - 12(OR = 2.23;95% CI:1.87 - 2.67)和CA9 - 24(OR = 1.86;95% CI:1.52 - 2.28)。
患有吸烟相关疾病的吸烟者的戒烟率低于对照组。在比较的活性治疗中,伐尼克兰对患有哮喘、COPD、糖尿病或心血管疾病的吸烟者最有效。
NCT01456936(https://clinicaltrials.gov/ct2/show/NCT01456936)。