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临床试验/NCT03905928
NCT03905928已完成不适用

Establishing the Effect of Flavor on the Addictive Potential of Electronic Cigarettes

Milton S. Hershey Medical Center2 个研究点 分布在 1 个国家目标入组 19 人开始时间: 2019年11月4日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
19
试验地点
2
主要终点
Baseline Neural Flavor Cue-reactivity at Baseline

研究概览

简要总结

The current study aims to establish proof-of-concept that neural cue-reactivity can serve as an early, objective marker of electronic cigarette (ECIG) addictive potential. Further, this study will examine the effect of flavor and nicotine concentration on the addictive potential of ECIGs to aid research informing U.S. Food and Drug Administration (FDA) flavor regulations and smoking cessation.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
Quadruple (Participant, Care Provider, Investigator, Outcomes Assessor)

入排标准

年龄范围
21 Years 至 60 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • Smoke filtered cigarettes/machine-rolled cigarettes (≥5 cigarettes per day) or daily e-cigarette use for past year.
  • No serious quit attempt in prior month. This includes use of any FDA approved smoking cessation medication (varenicline, bupropion [used specifically as a quitting aid], patch, gum, lozenge, inhaler, and nasal spray) in the past 1 month as an indication of treatment seeking.
  • Willing to supplement cigarette smoking with ECIG use for 4 weeks or replace e-cigarette with study product for 4 weeks
  • Willing to attend regular visits over a 4-week period (not planning to move, not planning extended vacation, no planned surgeries)
  • Willing to undergo two fMRI scans
  • Able to read and write in English
  • Able to understand and consent to study procedures
  • Access to computer with internet service that allows for use of Zoom

排除标准

  • Impaired smell function as measured via a standardized screening assessment
  • Unstable or significant medical condition in the past 12 months (recent heart attack or some other heart conditions, stroke, severe angina including high blood pressure)
  • Severe immune system disorders (uncontrolled Human Immunodeficiency virus infection; unstable multiple sclerosis symptoms), respiratory diseases (exacerbations of asthma or chronic obstructive pulmonary disorder, require oxygen, require oral prednisone), kidney (dialysis) or liver diseases (cirrhosis), or any medical disorder/medication that may affect participant safety or biomarker data
  • Women who are pregnant (verified by urine pregnancy test at any visit), trying to become pregnant, or nursing
  • Medical conditions associated with cognitive impairment or neurological dysfunction
  • Severe claustrophobia
  • Current depressive or anxiety disorder
  • Uncontrolled mental illness or substance abuse or inpatient treatment for these conditions in the past 6 months
  • Use of illicit drugs or prescription drugs for non-medical use daily/almost daily or weekly in the past 3 months per National Institute on Drug Abuse (NIDA) Quick Screen, not including use of marijuana
  • Any known risk from exposure to high-field strength magnetic fields (e.g., cardiac pacemakers), any irremovable metallic foreign objects in their body (e.g., braces), or a questionable history of metallic fragments which are likely to create artifact on the MRI scans
  • Known allergy to propylene glycol or vegetable glycerin
  • Other member of household currently participating in the study
  • History of a seizure disorder or had a seizure in the past 12 months
  • Currently taking medications prescribed to prevent seizures (such as Carbamazepine or Phenobarbital). Using seizure medications for off-label use (indications other than treatment for seizures) will not be included as an exclusion, these will be assessed on a case-by-case basis

结局指标

主要结局

Baseline Neural Flavor Cue-reactivity at Baseline

时间窗: Baseline

Functional magnetic resonance imaging (fMRI) will be used to measure blood oxygen-level dependent (BOLD) signal in response to tobacco vs. strawberry-vanilla ECIG flavors at baseline. The means reported are the average percentage of BOLD signal change between the fMRI task odor conditions (tobacco vs. strawberry) identified using a whole-brain one-sample t-test with FSL software. Positive values indicate stronger BOLD signal during tobacco odor cues and negative values indicate stronger BOLD signal during strawberry odor cues.

Changes in Neural Flavor Cue-reactivity Across Nicotine Groups

时间窗: Baseline to 4-weeks

Functional magnetic resonance imaging (fMRI) will be used to measure changes in blood oxygen-level dependent (BOLD) signal for the tobacco\>strawberry contrast across 18 mg/ml vs. 0 mg/ml nicotine concentration groups from baseline to 4-weeks post-randomization using a whole-brain repeated measures ANOVA with FSL software. The means reported are the difference (4-week post-intervention - baseline) of the average percentage of BOLD signal change between the fMRI task odor conditions (tobacco vs. strawberry). Positive values indicate increases in tobacco\>strawberry BOLD signal and negative values indicate decreases in tobacco\> strawberry BOLD signal.

Changes in Neural Flavor Cue-reactivity Across Flavor Groups

时间窗: Baseline to 4-weeks

Functional magnetic resonance imaging (fMRI) will be used to measure changes in blood oxygen-level dependent (BOLD) signal for the tobacco \> strawberry contrast across flavor groups (tobacco vs. strawberry) from baseline to 4-weeks post-randomization. The means reported are the difference (4-week post-intervention - baseline) of the average percentage of BOLD signal change between the fMRI task odor condition (tobacco vs. strawberry) identified using a whole-brain repeated measures ANOVA with FSL software. Positive values indicate increases in tobacco\>strawberry BOLD signal and negative values indicate decreases in tobacco\> strawberry BOLD signal.

次要结局

  • ECIG Dependence(2-weeks post-randomization to 4-weeks post-randomization)
  • ECIG Liking and Satisfaction(2-weeks to 4-weeks)
  • Craving to Smoke/Vape(Baseline to 4-weeks post-randomization)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Andrea Hobkirk, PhD

Assitant Professor

Milton S. Hershey Medical Center

研究点 (2)

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