A06 - OGC LAsting Symptoms after Oesophageal Resectional Surgery (LASORS): Multicentre validation cohort study

Abstract Background Patients are living longer with the long-term morbidity of oncological and surgical therapies as oesophageal cancer outcomes improve. Existing symptomatology and quality of life tools are cumbersome and moreover not designed for the post-treatment survivorship setting. The LASER study identified six key symptoms thought to predict poor health-related quality of life. The current study aimed to validate this six-symptom LAsting Symptoms after Oesophageal Resection (LASOR) clinical tool, and assess its clinical utility. Method Between 2015 and 2019, patients from UK centres who underwent curative-intent oesophageal cancer treatment, and were disease-free at least one year postoperatively, were asked to complete LASOR, EORTC QLQ-C30 and QLQ-OG25 questionnaires. LASOR symptoms (low mood, reduced energy, thoracotomy pain, heartburn, diarrhoea, and bloating after eating) were correlated with EORTC HRQOL scores. Multivariable regression analysis identified symptoms associated with poor HRQoL. Receiver operating characteristic curve analysis was used to validate the LASOR tool. Results 263 patients, spanning a combination of surgical approaches (two-stage, three-stage, left thoracoabdominal, transhiatal), techniques (open, minimally invasive, hybrid), and disease stage, completed the questionnaires. Four of the six LASOR symptoms were associated with poor HRQoL: reduced energy (OR 2.13; 95% CI 1.20-2.87), low mood (OR 1.86; 95% CI 1.4503.12), diarrhoea (OR 1.48; 95% CI 1.06-2.05), and bloating after eating (OR 1.35; 95% CI 1.03-1.77). The LASOR tool produced an area under the curve of 0.85. Conclusion The six-symptom LASOR tool generated a reliable model for identification of patients with a poor HRQOL, with an overall diagnostic accuracy of over 80%. This is the first clinical symptom and quality of life tool to be validated in esophageal cancer patients post-curative treatment. The LASOR tool is straightforward to administer and acceptable to patients. Clinical utility lies both in identifying patients at risk of poor HRQoL and in planning survivorship services.

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Publication Details

Journal
British journal of surgery
Published
2024-11-01
DOI
https://doi.org/10.1093/bjs/znae271.006
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

A06 - OGC LAsting Symptoms after Oesophageal Resectional Surgery (LASORS): Multicentre validation cohort study

Khaled Dawas, J. Robert O’Neill, Borzoueh Mohammadi, Sheraz R. Markar et al.
British journal of surgery
Esophageal Cancer Research and Treatment
article

A06 - OGC LAsting Symptoms after Oesophageal Resectional Surgery (LASORS): Multicentre validation cohort study

Khaled Dawas, J. Robert O’Neill, Borzoueh Mohammadi, Sheraz R. Markar, Swathikan Chidambaram, Yassar Qureshi, Bilal Alkhaffaf, Nick Dai, Ravinder Vohra, Heidi Paine
article en

Abstract

Abstract Background Patients are living longer with the long-term morbidity of oncological and surgical therapies as oesophageal cancer outcomes improve. Existing symptomatology and quality of life tools are cumbersome and moreover not designed for the post-treatment survivorship setting. The LASER study identified six key symptoms thought to predict poor health-related quality of life. The current study aimed to validate this six-symptom LAsting Symptoms after Oesophageal Resection (LASOR) clinical tool, and assess its clinical utility. Method Between 2015 and 2019, patients from UK centres who underwent curative-intent oesophageal cancer treatment, and were disease-free at least one year postoperatively, were asked to complete LASOR, EORTC QLQ-C30 and QLQ-OG25 questionnaires. LASOR symptoms (low mood, reduced energy, thoracotomy pain, heartburn, diarrhoea, and bloating after eating) were correlated with EORTC HRQOL scores. Multivariable regression analysis identified symptoms associated with poor HRQoL. Receiver operating characteristic curve analysis was used to validate the LASOR tool. Results 263 patients, spanning a combination of surgical approaches (two-stage, three-stage, left thoracoabdominal, transhiatal), techniques (open, minimally invasive, hybrid), and disease stage, completed the questionnaires. Four of the six LASOR symptoms were associated with poor HRQoL: reduced energy (OR 2.13; 95% CI 1.20-2.87), low mood (OR 1.86; 95% CI 1.4503.12), diarrhoea (OR 1.48; 95% CI 1.06-2.05), and bloating after eating (OR 1.35; 95% CI 1.03-1.77). The LASOR tool produced an area under the curve of 0.85. Conclusion The six-symptom LASOR tool generated a reliable model for identification of patients with a poor HRQOL, with an overall diagnostic accuracy of over 80%. This is the first clinical symptom and quality of life tool to be validated in esophageal cancer patients post-curative treatment. The LASOR tool is straightforward to administer and acceptable to patients. Clinical utility lies both in identifying patients at risk of poor HRQoL and in planning survivorship services.

British journal of surgeryVol. 111(Supplement_9)
Nottingham University Hospitals NHS Trust (GB), Royal London Hospital (GB), Salford Royal Hospital (GB), The London College (GB), Oxford University Hospitals NHS Trust (GB), Addenbrooke's Hospital (GB), University College London (GB), Imperial College London (GB)
Openalex Percentile: Top 62%
Esophageal Cancer Research and Treatment
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