Surgical outcome predictor in degenerative lumbar spinal disease based on health related quality of life using euro-quality 5 dimensions analysis

Byung Ho Lee, Jae Ho Yang, Hwan Mo Lee, Jun Young Park, Sang Eun Park, Seong Hwan Moon

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Purpose: We aim to introduce the predictive value of a quantitatively described formula model in a multicenter prospective analysis using the EuroQol-5 dimensions (EQ-5D) health scale to anticipate postoperative improvement in patients with degenerative lumbar spine disease (DLSD). Materials and Methods: Quality of life was evaluated in 376 patients from 17 tertiary hospitals before and after spinal decompression and fusion surgery. The five items of the EQ-5D, mobility (M), self-care (S), usual activities (A), pain/discomfort (P), and anxiety/ depression (D), were checked as level 1, 2, or 3, with 3 being the worst. A minimal significant change in the calculated EQ-5D (cEQ-5D) was set as 0.05. Logistic regression analysis was performed to predict the highest successful outcome (cEQ-5D improvement after operation >0.05) with the given sets of 5 items of the EQ-5D. Results: In the cEQ-5D analysis, among patients with a formula score of S+A+2×P+D≤8, 18/68 (27%) showed significant improvement in the cEQ-5D at 1 year postoperatively (p<0.05). However, in patients with a formula score of ≥9, 265/308 (86%) demonstrated significant improvements in the cEQ-5D at 1 year postoperatively (p<0.05). Conclusion: We suggest that S+A+2×P+D≥9 in the EQ-5D can quantitatively describe the better surgical outcome predictors for DLSD. With a definite DLSD lesion confirmed by an imaging study, patients who meet the formula scores of 9 or over and have refractory symptoms to non-operative treatment could be better surgical candidates resulting in satisfactory surgical outcomes of over 86%, than those who scored 8 or lower.

Original languageEnglish
Pages (from-to)1214-1221
Number of pages8
JournalYonsei medical journal
Volume57
Issue number5
DOIs
Publication statusPublished - 2016 Sep

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this