A Prediction Model to Help with the Assessment of Adenopathy in Lung Cancer: HAL
Recommended Citation
O'Connell OJ, Almeida FA, Simoff MJ, Yarmus L, Lazarus R, Young B, Chen Y, Semaan R, Saettele TM, Cicenia J, Bedi H, Kliment C, Li L, Sethi S, Diaz-Mendoza J, Feller-Kopman D, Song J, Gildea T, Lee H, Grosu HB, Machuzak M, Rodriguez-Vial M, Eapen GA, Jimenez CA, Casal RF, Ost DE. A Prediction Model to Help with the Assessment of Adenopathy in Lung Cancer: HAL. Am J Respir Crit Care Med. 2017 Jun 15;195(12):1651-1660.
Document Type
Article
Publication Date
6-15-2017
Publication Title
American journal of respiratory and critical care medicine
Abstract
RATIONALE: Estimating the probability of finding N2 or N3 (prN2/3) malignant nodal disease on endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in patients with non-small cell lung cancer (NSCLC) can facilitate the selection of subsequent management strategies.
OBJECTIVES: To develop a clinical prediction model for estimating the prN2/3.
METHODS: We used the AQuIRE (American College of Chest Physicians Quality Improvement Registry, Evaluation, and Education) registry to identify patients with NSCLC with clinical radiographic stage T1-3, N0-3, M0 disease that had EBUS-TBNA for staging. The dependent variable was the presence of N2 or N3 disease (vs. N0 or N1) as assessed by EBUS-TBNA. Univariate followed by multivariable logistic regression analysis was used to develop a parsimonious clinical prediction model to estimate prN2/3. External validation was performed using data from three other hospitals.
MEASUREMENTS AND MAIN RESULTS: The model derivation cohort (n = 633) had a 25% prevalence of malignant N2 or N3 disease. Younger age, central location, adenocarcinoma histology, and higher positron emission tomography-computed tomography N stage were associated with a higher prN2/3. Area under the receiver operating characteristic curve was 0.85 (95% confidence interval, 0.82-0.89), model fit was acceptable (Hosmer-Lemeshow, P = 0.62; Brier score, 0.125). We externally validated the model in 722 patients. Area under the receiver operating characteristic curve was 0.88 (95% confidence interval, 0.85-0.90). Calibration using the general calibration model method resulted in acceptable goodness of fit (Hosmer-Lemeshow test, P = 0.54; Brier score, 0.132).
CONCLUSIONS: Our prediction rule can be used to estimate prN2/3 in patients with NSCLC. The model has the potential to facilitate clinical decision making in the staging of NSCLC.
Medical Subject Headings
Aged; Carcinoma, Non-Small-Cell Lung; Endoscopic Ultrasound-Guided Fine Needle Aspiration; Female; Humans; Lung Neoplasms; Lymph Nodes; Lymphadenopathy; Lymphatic Metastasis; Male; Predictive Value of Tests; Retrospective Studies
PubMed ID
28002683
Volume
195
Issue
12
First Page
1651
Last Page
1660
