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Jun 18, 2019

MASCC/ISOO Annual Meeting on Supportive Care in Cancer

02 - PREDICTORS OF DYSPNEA IN PATIENTS WITH ADVANCED CANCER

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cancer

dyspnea

edmonton symptom assessment system

predictors

radiotherapy

Abstract

Abstract

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Keywords

cancer

dyspnea

edmonton symptom assessment system

predictors

radiotherapy

Abstract

Introduction: Over 70% of patients with advanced cancer experience dyspnea. Dyspnea is predictive of shorter survival and negatively effects quality of life. The present study aimed to identify predictors of the presence and severity of dyspnea in advanced cancer patients. Methods: Patient characteristics and Edmonton Symptom Assessment System (ESAS) shortness of breath scores were analyzed from a prospective database of patients attending a palliative radiotherapy clinic. Using the ESAS, dyspnea was classified as mild [1-3], moderate [4-6] or severe [7-10]. Logistic regression analysis and generalized estimating equations were used to identify predictors of the severity of dyspnea and presence of moderate/severe dyspnea (ESAS ≥4) at patients' first visit and over time, respectively. Results: Multivariable analysis (n=252) showed liver metastases (P=0.01), a history of respiratory conditions (P=0.03) and PRFS ≥3 (P=0.03) were predictive of dyspnea severity at the first visit. Over time, liver metastases (P=0.02), lymph node metastases (P=0.02), a history of respiratory conditions (P=0.006) and pulse oximetry<90 (P=0.003) were predictive of greater dyspnea severity. Patients with multiple radiation treatments in the thorax region were less likely to have severe dyspnea symptoms over time (P=0.01). Lung metastases (P=0.04), a history of respiratory conditions (P=0.01) and PRFS ≥3 (P=0.009) were predictive of moderate/severe dyspnea at the first visit. Over time, lymph node metastases (P=0.003), a history of respiratory conditions (P=0.04) and pulse oximetry<90 (P=0.0004) were predictive of moderate/severe dyspnea. Conclusions: Increased awareness of dyspnea predictors can promote early intervention for improved patient care and the creation of screening tools for clinical practice.

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© Copyright 2019 Morressier GmbH.
All rights reserved.