Symptom occurrence has been shown to predict treatment course and survival in cancer patients. The M. D. Anderson Symptom Inventory-Brain Tumor Module (MDASI-BT) was recently validated as a tool for primary brain tumor patient self-report of symptoms. This study evaluated the reliability and validity of the MDASI-BT in patients with brain metastases. Data collection included demographic and clinical factors, and the MDASI-BT (0-10 scale). Construct validity was assessed using confirmatory factor analysis, and known-group validity was evaluated by detecting group differences due to disease severity and treatment approach. For reliability, Cronbach's alpha values were computed for each subscale. A sample of 124 patients participated, of which 53.2% were women. Participants were primarily white (79.8%) and married (78.2%), and a variety of solid tumor malignancies were represented. Factor analysis revealed six underlying constructs, including affective symptoms, cognitive dysfunction, focal neurologic deficits, constitutional and gastrointestinal symptoms, and interference with life. The solution with these factors explained 68.4% of the variance. Mean symptom scores were 1.2 and 2.6, and mean interference scores were 1.8 and 4.3 for patients with good and poor Karnofsky scores, respectively (P<0.001). These subscales were also sensitive to opioid analgesic use, with group differences of 1.5 and 2.2 (P<0.001). Cronbach's alpha was 0.9 for each of the two subscales. Fatigue, sleep disturbance, drowsiness, distress, and dry mouth were the most severe symptoms. The MDASI-BT demonstrated validity and reliability in brain metastases patients and can be used to identify and monitor symptom occurrence in relation to treatment course and survival.
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http://dx.doi.org/10.1016/j.jpainsymman.2008.02.011 | DOI Listing |
Neurooncol Pract
December 2024
Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Background: Glioblastoma and high-grade glioma (HGG) remain non-curable diseases. Symptoms and Quality-of-life (QoL) in the end-of-life (EoL) phase have not been prospectively studied with validated instruments. Therefore, we prospectively assessed symptom progression, symptom management, and hospice utilization in patients with treatment-refractory progressive HGG.
View Article and Find Full Text PDFNeurosurg Rev
September 2024
Department of Nursing, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, People's Republic of China.
Background: Craniotomy to remove brain tumors is an intricate procedure with multiple postoperative symptoms. However, there has been limited research on the symptom networks of these patients. To this end, this study aims to explore these symptom networks, revealing their interplay to inform better symptom control, hasten the discovery of postoperative issues, and tailor Enhanced Recovery After Surgery (ERAS) protocols, all to enhance recovery and enhance patient care.
View Article and Find Full Text PDFSupport Care Cancer
August 2024
Department of Nursing, School of Medicine, Tongji Hospital, Tongji University, Shanghai, People's Republic of China.
Background: This study aimed to identify potential symptom clusters among primary brain tumor patients using factor analysis. Understanding these clusters enables better-targeted interventions post-craniotomy.
Methods: A total of 211 participants visiting Department of Neurosurgery at Shanghai Tenth People's Hospital for proposed surgical treatment between January 2021 and March 2022 were enrolled.
Cancer Med
August 2024
Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
J Patient Rep Outcomes
July 2024
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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