ABSTRACT
OBJECTIVES: To describe the Quality of Life (QOL) of breast-cancer patients diagnosed with COVID-19 and analyse its evolution, compare the QOL of these patients according to the COVID-19 wave in which they were diagnosed, and examine the clinical and demographic determinants of QOL. METHODS: A total of 260 patients with breast cancer (90.8% I-III stages) and COVID-19 (85% light/moderate) were included (February-September 2021) in this study. Most patients were receiving anticancer treatment (mainly hormonotherapy). Patients were grouped according to the date of COVID-19 diagnosis: first wave (March-May 2020, 85 patients), second wave (June-December 2020, 107 patients) and third wave (January-September 2021, 68 patients). Quality of Life was assessed 10 months, 7 months, and 2 weeks after these dates, respectively. Patients completed QLQ-C30, QLQ-BR45, and Oslo COVID-19 QLQ-PW80 twice over four months. Patients ≥65 also completed QLQ-ELD14. The QOL of each group and changes in QOL for the whole sample were compared (non-parametric tests). Multivariate logistic regression identified patient characteristics related to (1) low global QOL and (2) changes in Global QOL between assessments. RESULTS: Moderate limitations (>30 points) appeared in the first assessment in Global QOL, sexual scales, three QLQ-ELD14 scales, and 13 symptoms and emotional COVID-19 areas. Differences between the COVID-19 groups appeared in two QLQ-C30 areas and four QLQ-BR45 areas. Quality of Life improvements between assessments appeared in six QLQ-C30, four QLQ-BR45 and 18 COVID-19 questionnaire areas. The best multivariate model to explain global QOL combined emotional functioning, fatigue, endocrine treatment, gastrointestinal symptoms, and targeted therapy (R2 = 0.393). The best model to explain changes in global QOL combined physical and emotional functioning, malaise, and sore eyes (R2 = 0.575). CONCLUSIONS: Patients with breast cancer and COVID-19 adapted well to illness. The few differences between wave-based groups (differences in follow-up notwithstanding) may have arisen because the second and third waves saw fewer COVID restrictions, more positive COVID information, and more vaccinated patients.