Literature DB >> 22496319

Thoracoscore fails to predict complications following elective lung resection.

Amy Bradley1, Andrea Marshall, Mahmoud Abdelaziz, Khalid Hussain, Paula Agostini, Ehab Bishay, Maninder Kalkat, Richard Steyn, Pala Rajesh, Janet Dunn, Babu Naidu.   

Abstract

The Thoracoscore mortality risk model has been incorporated into the British Thoracic Society guidelines on the radical management of patients with lung cancer. The discriminative and predictive ability to predict mortality and post-operative pulmonary complications (PPCs) in this group of patients is uncertain. A prospective observational study was carried out on all patients following lung resection via thoracotomy in a regional thoracic centre over 42 months. 128 out of 703 subjects developed a PPC. 16 (2%) patients died in hospital. In a logistic regression analysis the Thoracoscore was not a significant predictor of mortality (OR 1.07, 95% CI 0.99-1.17; p=0.11) but was a significant predictor of PPCs (OR 1.08, 95% CI 1.03-1.13; p=0.002). However, the area under the receiver operator characteristic curve for the Thoracoscore was 0.68 (95% CI 0.56-0.80) for predicting mortality and 0.64 (95% CI 0.59-0.69) for PPCs, indicating limited discriminative ability. In a logistic regression analysis, another risk model, the European Society Objective Score, was predictive of mortality (OR 1.43, 95% CI 1.11-1.83; p=0.006) and PPCs (OR 1.48, 95% CI 1.30-1.68; p<0.0001). Therefore, Thoracoscore may have poor discriminative and predictive ability for mortality and PPCs following elective lung resection.

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Year:  2012        PMID: 22496319     DOI: 10.1183/09031936.00218111

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  8 in total

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Journal:  Indian J Anaesth       Date:  2022-08-12

3.  Performance Comparison Between SURPAS and ACS NSQIP Surgical Risk Calculator in Pulmonary Resection.

Authors:  Neel P Chudgar; Shi Yan; Meier Hsu; Kay See Tan; Katherine D Gray; Daniela Molena; Tamar Nobel; Prasad S Adusumilli; Manjit Bains; Robert J Downey; James Huang; Bernard J Park; Gaetano Rocco; Valerie W Rusch; Smita Sihag; David R Jones; James M Isbell
Journal:  Ann Thorac Surg       Date:  2020-10-16       Impact factor: 4.330

4.  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

5.  Development and validation of a risk score for predicting death after pneumonectomy.

Authors:  Seyer Safi; Axel Benner; Janos Walloschek; Maria Renner; Jan op den Winkel; Thomas Muley; Konstantina Storz; Hendrik Dienemann; Hans Hoffmann; Thomas Schneider
Journal:  PLoS One       Date:  2015-04-09       Impact factor: 3.240

6.  Clinical and quality of life outcomes following anatomical lung resection for lung cancer in high-risk patients.

Authors:  Henrietta Wilson; David Gammon; Tom Routledge; Karen Harrison-Phipps
Journal:  Ann Thorac Med       Date:  2017 Apr-Jun       Impact factor: 2.219

7.  External validation of five predictive models for postoperative cardiopulmonary morbidity in a Chinese population receiving lung resection.

Authors:  Guanghua Huang; Lei Liu; Luyi Wang; Zhile Wang; Zhaojian Wang; Shanqing Li
Journal:  PeerJ       Date:  2022-02-09       Impact factor: 2.984

8.  Prediction of postoperative cardiopulmonary complications after lung resection in a Chinese population: A machine learning-based study.

Authors:  Guanghua Huang; Lei Liu; Luyi Wang; Shanqing Li
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

  8 in total

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