Using a Weekly Patient-Reported Outcome Questionnaire to Track Acute Toxicity in Patients Undergoing Pelvic Radiotherapy for Gynecologic Cancers.
Matthew ChanRobert J OlsonVincent LapointeJeremy HammFrancois BachandCaroline HollowayChristina ParsonsPeter LimPublished in: Current oncology (Toronto, Ont.) (2022)
There are limited patient-reported outcome (PRO) data tracking changes in toxicity in patients actively undergoing radiotherapy. Between 2015-2019, acute toxicity was prospectively measured in 698 patients undergoing a 5-week course of pelvic radiotherapy for gynecologic cancers using a weekly PRO questionnaire. Our questionnaire was able detect a pattern of onset and resolution of acute gastrointestinal (GI) and genitourinary (GU) toxicity in 27 out of 32 questions. Logistic regression analysis showed that increasing GI and GU toxicity at week 2 could predict for severe toxicity at week 5. However, due to a low number of severe events, univariate results could not be productively added to a multivariate model. We observed a >70% response rate for all sections of the questionnaire, except for questions on sexual and vaginal health, which had a 13% average response rate. By demonstrating that PRO data can be used to track acute toxicity during radiotherapy, there is a need to further examine how this tool may be implemented in the clinic to provide complex, adaptive care, such as early side effect management, and modifying radiation delivery in real-time.
Keyphrases
- patient reported outcomes
- liver failure
- oxidative stress
- patients undergoing
- early stage
- respiratory failure
- drug induced
- healthcare
- radiation therapy
- radiation induced
- cross sectional
- public health
- end stage renal disease
- aortic dissection
- newly diagnosed
- psychometric properties
- randomized controlled trial
- chronic kidney disease
- clinical trial
- oxide nanoparticles
- early onset
- hepatitis b virus
- big data
- risk assessment
- quality improvement
- prognostic factors
- young adults
- deep learning
- health information
- pain management
- social media
- human health
- chronic pain
- acute respiratory distress syndrome