Literature DB >> 27040857

Predicting death from surgery for lung cancer: A comparison of two scoring systems in two European countries.

Emma L O'Dowd1, Margreet Lüchtenborg2, David R Baldwin3, Tricia M McKeever4, Helen A Powell4, Henrik Møller2, Erik Jakobsen5, Richard B Hubbard4.   

Abstract

OBJECTIVES: Current British guidelines advocate the use of risk prediction scores such as Thoracoscore to estimate mortality prior to radical surgery for non-small cell lung cancer (NSCLC). A recent publication used the National Lung Cancer Audit (NLCA) to produce a score to predict 90 day mortality (NLCA score). The aim of this study is to validate the NLCA score, and compare its performance with Thoracoscore.
MATERIALS AND METHODS: We performed an internal validation using 2858 surgical patients from NLCA and an external validation using 3191 surgical patients from the Danish Lung Cancer Registry (DLCR). We calculated the proportion that died within 90 days of surgery. The discriminatory power of both scores was assessed by a receiver operating characteristic (ROC) and an area under the curve (AUC) calculation.
RESULTS: Ninety day mortality was 5% in both groups. AUC values for internal and external validation of NLCA score and validation of Thoracoscore were 0.68 (95% CI 0.63-0.72), 0.60 (95% CI 0.56-0.65) and 0.60 (95% CI 0.54-0.66) respectively. Post-hoc analysis was performed using NLCA records on 15554 surgical patients to derive summary tables for 30 and 90 day mortality, stratified by procedure type, age and performance status.
CONCLUSIONS: Neither score performs well enough to be advocated for individual risk stratification prior to lung cancer surgery. It may be that additional physiological parameters are required; however this is a further project. In the interim we propose the use of our summary tables that provide the real-life range of mortality for lobectomy and pneumonectomy.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Lung cancer; Mortality; Thoracic surgery; Validation study

Mesh:

Year:  2016        PMID: 27040857     DOI: 10.1016/j.lungcan.2016.03.002

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  2 in total

1.  Treatment recommendations for stage I non-small cell lung cancer: does patient preference matter?

Authors:  Helen A Powell; David R Baldwin
Journal:  Ann Transl Med       Date:  2017-10

2.  A systematic review of risk prediction models for perioperative mortality after thoracic surgery.

Authors:  Marcus Taylor; Syed F Hashmi; Glen P Martin; Michael Shackcloth; Rajesh Shah; Richard Booton; Stuart W Grant
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-04-08
  2 in total

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