Background: Breast cancer in Sweden is the most common cancer among women affecting over 8000 women each year. Throughout the Covid-19 pandemic multiple studies were conducted about the incidence of Covid-19 in breast cancer patients. However, there were no studies showing the incidence of Covid-19 within pre- and postmenopausal breast cancer patients. Aim: To study the incidence of Covid-19 in different socio-demographic groups of pre- and postmenopausal breast cancer patients as well as the frequency of medications and comorbidities in those patients in Sweden. Methods: A register-based cross-sectional study using SCIFI-PEARL database, which includes multiple connected registers to capture all Covid-19 patients. Using the connected registers to attach socio-demographic characteristics, medication lists, and hospital stays as well as specialist clinic visits from 2015 until 2019 to the patients and calculating the incidence of Covid-19 as well as the frequency of medication use and comorbidities. Results: Covid-19-incidence was 53,4% and 24,3% in pre- and postmenopausal breast cancer patients respectively. Covid-19-incidence was the highest with 35,9% among patients with higher than high school education, 44,2% among working patients, 35,2% among married patients, and 56,7% among patients younger than 30. Paracetamol use was the highest among all breast cancer patients. Osteoarthritis was the most common comorbidity among breast cancer patients with Covid-19. Conclusion: Breast cancer patients with higher sociodemographic characteristics have higher incidence of Covid-19 in Sweden.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-468137 |
| Date | January 2022 |
| Creators | Shihan, Hussam |
| Publisher | Uppsala universitet, Institutionen för farmaci |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0016 seconds