Symptom clusters using the Spitzer quality of life index in patients with brain metastases--a reanalysis comparing different statistical methods.
OBJECTIVE
The purpose of this paper is to determine whether the use of three different statistical methods influences the composition of symptom clusters derived from patients with brain metastases.


METHODS
The dataset previously compiled from 129 brain metastases patients who completed the Spitzer Quality of Life Index (SQLI) and an additional study-designed 17-item symptom questionnaire was employed in this study. Symptom clusters extracted using principal component analysis in our previous study were compared to clusters determined using hierarchical cluster analysis and exploratory factor analysis. Clusters were identified using the three statistical methods at baseline, and at 1, 2, and 3 months following whole brain radiotherapy.


RESULTS
The number and composition of symptom clusters at each time point varied based on the statistical method employed, despite the use of an identical dataset. However, some domains consistently clustered together, such as activity and daily living from the SQLI items. Of the 17 additional symptoms, memory loss, confusion, and trouble concentrating were always present in the same cluster. Nausea and vomiting also occurred in conjunction regardless of the analytical method employed.


CONCLUSIONS
Symptom clusters vary with respect to occurrence, quantity, and composition based on the statistical method utilized to extract them. Further studies should be conducted to determine an ideal statistical method in order to select the optimal method to employ. The use of a single analytical method is essential for consistency and comparison purposes in future symptom cluster research.
Rapid Response Radiotherapy Program, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Luluel
L
Khan
Gemma
G
Cramarossa
Madeline
M
Lemke
Janet
J
Nguyen
Liying
L
Zhang
Emily
E
Chen
Edward
E
Chow
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001932:Brain Neoplasms / Q000503:physiopathology* / Q000532:radiotherapy / Q000556:secondary; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D017567:Karnofsky Performance Status; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D025341:Principal Component Analysis / Q000379:methods*; D011788:Quality of Life; D013577:Syndrome