Stratification and management of patients ineligible for lung cancer screening. (November 2021)

• Record Type: Journal Article
• Authors: Aggarwal, Reenika; Lam, Andrew CL.; Huang, Jingyue; Hueniken, Katrina; Nguyen, Daniel; Khan, Khaleeq; Shaikh, Taariq; Shepherd, Frances A.; Tsao, Ming-Sound; Xu, Wei; Kavanagh, John; Liu, Geoffrey
• Is Part Of: Respiratory medicine. Volume 188(2021)
• Publication Date: 2021-11
• Subjects: Lung cancer -- Mass screening -- Computed tomography -- Risk assessment -- Patient selection -- Statistical models; NLST National Lung Screening Trial -- NELSON Dutch-Belgian Lung Cancer Screening Trial -- Low-dose Computed Tomography LDCT -- PLCOm2012 Prostate, Lung, Colorectal and Ovarian Six-year Lung Cancer Risk Calculator -- ILST International Lung Screen Trial -- OLSP Ontario Lung Screening Program -- PMLSP Princess Margaret Lung Screening Program -- FHS Framingham Heart Study; Chest -- Diseases -- Periodicals; Chest -- Diseases -- Great Britain -- Periodicals; Respiratory organs -- Diseases -- Periodicals; Respiratory Tract Diseases -- Periodicals; Appareil respiratoire -- Maladies -- Périodiques; Thorax -- Maladies -- Périodiques; Appareil respiratoire -- Maladies -- Traitement -- Périodiques; Electronic journals; 616.2
• DOI: 10.1016/j.rmed.2021.106610
• Languages: English
• ISSNs: 0954-6111

Abstract

Abstract: This study identifies participants ineligible for lung cancer screening with the greatest likelihood of future eligibility. Lung cancer risk in participants enrolled in longitudinal lung screening was assessed using the Prostate, Lung, Colorectal and Ovarian lung cancer risk calculator (PLCOm2012 ) at two timepoints: baseline (T1 ) and follow-up (T2 ). Separate analyses were performed on four PLCOm2012 eligibility thresholds (3.25%, 2.00%, 1.50%, and 1.00%); only participants with a T1 risk less than the threshold were included in that analysis. Cox-models identified T1 risk factors associated with screen-eligibility at T2 . Three models, applying differing assumptions of participant behavior, predicted future eligibility and were benchmarked against the observed cohort. Nine hundred and fifty-six participants had a T1 risk <3.25%; at 2.00% n= 755; at 1.50% n= 652; at 1.00% n= 484. Lung cancer risk increased over time in most screen-ineligible participants. However, risk increased much faster in participants who became screen-eligible at T2 compared to those who remained screen-ineligible (median per-year increase of 0.35% versus 0.02%, when using a 3.25% threshold). Participants smoking for >30 years, current smokers, less educated participants, and those with chronic obstructive pulmonary disease (COPD) at T1 were significantly more likely to become screen-eligible. New diagnoses of COPD and/or non-lung cancers between T1 and T2 precipitated eligibility in a subset of participants. The prediction model that assumed health behaviors observed at T1 continued to T2 reasonably predicted changes in lung cancer risk. This prediction model and the identified baseline risk factors can identify screen-ineligible participants who should be closely followed for future eligibility. Highlights: Lung cancer risk increases with time in most patients ineligible for lung screening. Subpopulations of ineligible patients have much faster increase in lung cancer risk. Smoking status and duration, less education, and COPD predict future screening eligibility. Predictive modeling using participants current behaviors can estimate future risk.