Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma

Sung Reul Kim, Yong Soon Shin, Jeong Hoon Kim, Minseon Choi, Sung Hee Yoo

Research output: Contribution to journalArticle

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)50-59
Number of pages10
JournalWorld Neurosurgery
Publication statusPublished - 2017 Feb 1
Externally publishedYes



  • Glioma
  • Meningioma
  • Quality of life
  • Symptom cluster

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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