Analysis of advanced lung cancer patients diagnosed following emergency admission

Eur Respir J. 2015 Apr;45(4):1098-107. doi: 10.1183/09031936.00068114. Epub 2014 Oct 16.

Abstract

Data on prognosis and predictors of overall survival in advanced lung cancer patients diagnosed following emergency admission (DFEA) are currently lacking. We retrospectively analysed data from 771 patients with advanced nonsmall cell lung cancer between April 2004 and April 2012. Of the 771 patients, 103 (13%) were DFEA. DFEA was not an independent predictor of overall survival by multivariate Cox proportional hazard models, whereas good performance status (PS), epidermal growth factor receptor gene mutation, stage IIIB, adenocarcinoma and chemotherapy were independent predictors of overall survival (hazard ratio (95% CI) 0.36 (0.29-0.44), p<0.001; 0.49 (0.38-0.63), p<0.001; 0.64 (0.51-0.80), p<0.001; 0.81 (0.67-0.99), p=0.044; and 0.40 (0.31-0.52), p<0.001, respectively). Good PS just prior to opting for chemotherapy, but not at emergency admission, was a good independent predictor of overall survival in DFEA patients (hazard ratio (95% CI) 0.26 (0.12-0.55); p<0.001). DFEA is relatively common. DFEA and PS at emergency admission were not independent predictors of overall survival, but good PS just prior to opting for chemotherapy was an independent predictor of longer overall survival. Efforts to improve patient PS after admission should be considered vital in such circumstances.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Aged
  • Biopsy, Needle
  • Carcinoma, Non-Small-Cell Lung / diagnosis*
  • Carcinoma, Non-Small-Cell Lung / epidemiology*
  • Carcinoma, Non-Small-Cell Lung / therapy
  • Databases, Factual
  • Emergency Service, Hospital*
  • Female
  • Follow-Up Studies
  • Humans
  • Immunohistochemistry
  • Japan
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / epidemiology*
  • Lung Neoplasms / therapy
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Invasiveness / pathology
  • Neoplasm Staging
  • Patient Admission / statistics & numerical data
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Assessment
  • Survival Analysis
  • Treatment Outcome