A prediction model to help with the assessment of adenopathy in lung cancer: HAL

Oisin J. O'Connell, Francisco A. Almeida, Michael J. Simoff, Lonny Yarmus, Ray Lazarus, Benjamin Young, Yu Chen, Roy Semaan, Timothy M. Saettele, Joseph Cicenia, Harmeet Bedi, Corrine Kliment, Liang Li, Sonali Sethi, Javier Diaz-Mendoza, David Feller-Kopman, Juhee Song, Thomas Gildea, Hans Lee, Horiana B. GrosuMichael Machuzak, Macarena Rodriguez-Vial, George A. Eapen, Carlos A. Jimenez, Roberto F. Casal, David E. Ost

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1651-1660
Number of pages10
JournalAmerican journal of respiratory and critical care medicine
Volume195
Issue number12
DOIs
StatePublished - Jun 15 2017

Keywords

  • Endobronchial ultrasound
  • Lung cancer
  • Lung cancer staging
  • Mediastinal adenopathy

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine

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