Department of Bioengineering, University of California, Los Angeles.
Medical & Imaging Informatics, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California.
JAMA Netw Open. 2023 May 1;6(5):e2315250. doi: 10.1001/jamanetworkopen.2023.15250.
Screening with low-dose computed tomography (CT) has been shown to reduce mortality from lung cancer in randomized clinical trials in which the rate of adherence to follow-up recommendations was over 90%; however, adherence to Lung Computed Tomography Screening Reporting & Data System (Lung-RADS) recommendations has been low in practice. Identifying patients who are at risk of being nonadherent to screening recommendations may enable personalized outreach to improve overall screening adherence.
To identify factors associated with patient nonadherence to Lung-RADS recommendations across multiple screening time points.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a single US academic medical center across 10 geographically distributed sites where lung cancer screening is offered. The study enrolled individuals who underwent low-dose CT screening for lung cancer between July 31, 2013, and November 30, 2021.
Low-dose CT screening for lung cancer.
The main outcome was nonadherence to follow-up recommendations for lung cancer screening, defined as failing to complete a recommended or more invasive follow-up examination (ie, diagnostic dose CT, positron emission tomography-CT, or tissue sampling vs low-dose CT) within 15 months (Lung-RADS score, 1 or 2), 9 months (Lung-RADS score, 3), 5 months (Lung-RADS score, 4A), or 3 months (Lung-RADS score, 4B/X). Multivariable logistic regression was used to identify factors associated with patient nonadherence to baseline Lung-RADS recommendations. A generalized estimating equations model was used to assess whether the pattern of longitudinal Lung-RADS scores was associated with patient nonadherence over time.
Among 1979 included patients, 1111 (56.1%) were aged 65 years or older at baseline screening (mean [SD] age, 65.3 [6.6] years), and 1176 (59.4%) were male. The odds of being nonadherent were lower among patients with a baseline Lung-RADS score of 1 or 2 vs 3 (adjusted odds ratio [AOR], 0.35; 95% CI, 0.25-0.50), 4A (AOR, 0.21; 95% CI, 0.13-0.33), or 4B/X, (AOR, 0.10; 95% CI, 0.05-0.19); with a postgraduate vs college degree (AOR, 0.70; 95% CI, 0.53-0.92); with a family history of lung cancer vs no family history (AOR, 0.74; 95% CI, 0.59-0.93); with a high age-adjusted Charlson Comorbidity Index score (≥4) vs a low score (0 or 1) (AOR, 0.67; 95% CI, 0.46-0.98); in the high vs low income category (AOR, 0.79; 95% CI, 0.65-0.98); and referred by physicians from pulmonary or thoracic-related departments vs another department (AOR, 0.56; 95% CI, 0.44-0.73). Among 830 eligible patients who had completed at least 2 screening examinations, the adjusted odds of being nonadherent to Lung-RADS recommendations at the following screening were increased in patients with consecutive Lung-RADS scores of 1 to 2 (AOR, 1.38; 95% CI, 1.12-1.69).
In this retrospective cohort study, patients with consecutive negative lung cancer screening results were more likely to be nonadherent with follow-up recommendations. These individuals are potential candidates for tailored outreach to improve adherence to recommended annual lung cancer screening.
随机临床试验表明,低剂量计算机断层扫描(CT)筛查可降低肺癌死亡率,在这些试验中,随访建议的依从率超过 90%;然而,在实践中,Lung Computed Tomography Screening Reporting & Data System(Lung-RADS)建议的依从率较低。识别出可能不遵守筛查建议的患者,可能有助于进行个性化的外联,以提高整体筛查的依从性。
确定与多个筛查时间点患者不遵守 Lung-RADS 建议相关的因素。
设计、地点和参与者:这项队列研究在美国的一个学术医疗中心进行,分布在 10 个地理位置分散的地点,这些地点都提供肺癌筛查服务。该研究纳入了 2013 年 7 月 31 日至 2021 年 11 月 30 日期间接受低剂量 CT 肺癌筛查的个体。
肺癌低剂量 CT 筛查。
主要结果是不遵守肺癌筛查的随访建议,定义为在 15 个月(Lung-RADS 评分 1 或 2)、9 个月(Lung-RADS 评分 3)、5 个月(Lung-RADS 评分 4A)或 3 个月(Lung-RADS 评分 4B/X)内未完成推荐或更具侵入性的随访检查(即诊断剂量 CT、正电子发射断层扫描 CT 或组织采样与低剂量 CT)。多变量逻辑回归用于确定与患者不遵守基线 Lung-RADS 建议相关的因素。广义估计方程模型用于评估纵向 Lung-RADS 评分模式是否与随时间推移的患者不遵守情况相关。
在纳入的 1979 名患者中,1111 名(56.1%)在基线筛查时年龄为 65 岁或以上(平均[标准差]年龄为 65.3[6.6]岁),1176 名(59.4%)为男性。与基线 Lung-RADS 评分为 3 的患者相比,评分为 1 或 2(调整后优势比 [AOR],0.35;95%置信区间 [CI],0.25-0.50)、4A(AOR,0.21;95%CI,0.13-0.33)或 4B/X(AOR,0.10;95%CI,0.05-0.19)的患者不遵守建议的可能性较低;与具有研究生学历的患者相比(AOR,0.70;95%CI,0.53-0.92);与无家族史的患者相比(AOR,0.74;95%CI,0.59-0.93);与Charlson 合并症指数评分高(≥4)的患者相比(AOR,0.67;95%CI,0.46-0.98);与低评分(0 或 1)的患者相比(AOR,0.79;95%CI,0.65-0.98);与高收入组(AOR,0.79;95%CI,0.65-0.98)相比;与来自肺科或胸科相关部门的医生转诊的患者相比(AOR,0.56;95%CI,0.44-0.73)。在 830 名完成至少 2 次筛查检查的合格患者中,在以下筛查中不遵守 Lung-RADS 建议的调整后可能性在连续 Lung-RADS 评分为 1 至 2 的患者中增加(AOR,1.38;95%CI,1.12-1.69)。
在这项回顾性队列研究中,连续进行阴性肺癌筛查结果的患者更有可能不遵守随访建议。这些人是提高推荐的年度肺癌筛查依从性的潜在目标人群。