TY - JOUR
T1 - Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma
AU - Kim, Sung Reul
AU - Shin, Yong Soon
AU - Kim, Jeong Hoon
AU - Choi, Minseon
AU - Yoo, Sung Hee
PY - 2017/2/1
Y1 - 2017/2/1
N2 - Objective Objectives of this study were to identify and compare symptom clusters in patients with meningioma and glioma and to assess and compare predictors of quality of life (QoL) in both patient groups. Methods Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of Cancer Therapy–General, and Karnofsky Performance Sale. Of 158 participating patients, 77 had meningioma, and 81 had glioma. Results In patients with meningioma, 4 symptom clusters were identified with 55.4% total variance: 1) physical, 2) cognitive, 3) elimination-appearance, and 4) motor-sensory symptoms. In patients with glioma, 4 clusters with 67.3% total variance were identified: 1) treatment-related, 2) cognitive, 3) appearance-elimination, and 4) gastrointestinal symptoms. Predictors of QoL in patients with meningioma were Karnofsky Performance Scale score (β = 0.41, P < 0.001), cognitive symptom cluster (β = −0.36, P < 0.001), and physical symptom cluster (β = −0.32, P = 0.001), whereas treatment-related symptom cluster (β = −0.55, P < 0.001) was identified as a predictor of QoL in patients with glioma. Conclusions In this study, the type and composition of symptom clusters differed between patients with meningioma and glioma. Our data also provide evidence that even when participants reported mild symptoms, these clusters could be used to predict QoL in patients with meningioma and glioma.
AB - Objective Objectives of this study were to identify and compare symptom clusters in patients with meningioma and glioma and to assess and compare predictors of quality of life (QoL) in both patient groups. Methods Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of Cancer Therapy–General, and Karnofsky Performance Sale. Of 158 participating patients, 77 had meningioma, and 81 had glioma. Results In patients with meningioma, 4 symptom clusters were identified with 55.4% total variance: 1) physical, 2) cognitive, 3) elimination-appearance, and 4) motor-sensory symptoms. In patients with glioma, 4 clusters with 67.3% total variance were identified: 1) treatment-related, 2) cognitive, 3) appearance-elimination, and 4) gastrointestinal symptoms. Predictors of QoL in patients with meningioma were Karnofsky Performance Scale score (β = 0.41, P < 0.001), cognitive symptom cluster (β = −0.36, P < 0.001), and physical symptom cluster (β = −0.32, P = 0.001), whereas treatment-related symptom cluster (β = −0.55, P < 0.001) was identified as a predictor of QoL in patients with glioma. Conclusions In this study, the type and composition of symptom clusters differed between patients with meningioma and glioma. Our data also provide evidence that even when participants reported mild symptoms, these clusters could be used to predict QoL in patients with meningioma and glioma.
KW - Glioma
KW - Meningioma
KW - Quality of life
KW - Symptom cluster
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U2 - 10.1016/j.wneu.2016.10.085
DO - 10.1016/j.wneu.2016.10.085
M3 - Article
C2 - 27794512
AN - SCOPUS:85007048704
SN - 1878-8750
VL - 98
SP - 50
EP - 59
JO - World Neurosurgery
JF - World Neurosurgery
ER -
