Spinal Metastatic Disease: Survival Analysis of 146 Patients and Evaluation of 4 Different Preoperative Scoring Systems.

STUDY DESIGN: This was a retrospective analysis. OBJECTIVE: The objective of this study was to evaluate the predictive value of the 4 different scoring systems Tomita, Bauer modified, Tokuhashi revised, and Van der Linden and some parameters that are used in these scoring systems. SUMMARY AND BACKGROUND DATA: Prediction of the survival period before treatment for spinal metastasis is extremely important. A lot of scoring systems have been described to predict the survival periods and to select the ideal treatment modality in the literature. MATERIALS AND METHODS: Retrospectively 146 patients with spinal metastasis were investigated between 2002 and 2011. The following parameters were analyzed: age, pathologic vertebra fracture, neurological deficit, visceral metastasis, diagnosis of primary tumor and its spinal metastasis interval, other skeletal metastasis, involved region of vertebra, and undergone spinal surgery. Patients were also scored by the 4 different scoring systems. The survival period was calculated from date of diagnosis of the spinal metastasis to the date of death or last follow-up (minimum: 12 mo). Cox regression, Kaplan-Meier survival test, and Cronbach α tests were performed for statistical analysis. RESULTS: Median overall survival for all patients was 13 months (range: 1-68 mo). The primary tumor (P=0.015), existence of visceral metastasis (P=0.017), presence of pathologic vertebra fracture (P=0.009), and undergone spinal surgery (P=0.047) showed significant influence on survival. Each scoring system was reliable and concordant with the other scoring systems (Cronbach α=80%); however, after 2 years, Modified Bauer score appeared to be the most reliable system for predicting survival (Cronbach α=25%). CONCLUSIONS: According to this analysis, lung cancer, visceral metastasis, pathologic vertebra fracture, and undergone spinal surgery have shown a negative effect on survival. All 4 scoring systems were reliable for predicting survival of patients with spinal metastatic disease. However, modified Bauer scoring system seems to be more predictive after 2 years. LEVEL OF EVIDENCE: Level III.

Adult spinal deformity: a very heterogeneous population of patients with different needs.

OBJECTIVE: The purpose of this study was to analyze and demonstrate the heterogeneity in adult spinal deformity (ASD) populations by baseline health-related quality of life (HRQL) data. METHODS: ASD was defined as patients over 18 years of age with any of the following: coronal deformity >20°, sagittal vertical axis (SVA) >5 cm, pelvic tilt >25°, or thoracic kyphosis >60°. Three hundred fifty-two patients meeting the above definition of ASD were analyzed for measures of HRQL (Oswestry disability index [ODI], SRS-22 [Scoliosis Research Society-22], and SF-36 [Short form-36 health survey] questionnaires) at presentation. Age groups were defined as 18-40, 40-60, and >60 years. Deformity was analyzed as either degenerative (DS) or idiopathic (IS) (294 patients; 71 degenerative, 223 idiopathic). RESULTS: There were significant differences between age groups--predominantly between the lower age group (18-40) and others--for all HRQL parameters except SRS-22 mental health and SF-36 mental component score. Similarly, HRQL measures for DS and IS deformities were significantly different. Regarding location of main curves, thoracolumbar/lumbar (TL/L) (70.2%) was dominant for the DS group and thoracic (55%) for the IS group. Mean age was 65 years for the DS group and 36 for the IS group, which were significantly different. Radiographic parameters were also significantly different between these groups, with IS patients having more coronal deformity and better sagittal balance. CONCLUSION: ASD patients are very heterogeneous at presentation, depending on age and diagnosis. There is a distinct need to stratify ASD as early and late presentation ASD and/or by diagnosis. Patients with IS deformity may be very different from those with DS deformity, even at time of presentation. These differences must be taken into consideration in treatment of these patients, as well as for the analysis of the results of treatment.

Multiple Regression Analysis of Factors Affecting Health-Related Quality of Life in Adult Spinal Deformity.

BACKGROUND: Previous studies demonstrated the adult spinal deformity (ASD) population is heterogeneous. Multiple parameters may affect health-related quality of life (HRQL). AIM: To understand the ranking of parameters affecting HRQL in ASD using multiple regression analysis. PATIENTS AND METHODS: A total of 483 patients enrolled in a prospective multicenter ASD database from the population. Multiple regression analysis was performed for Scoliosis Research Society-22 (SRS-22) and Oswestry Disability Index (ODI) separately. Initially proposed primary variables of diagnosis (highest correlation), age, lordosis gap (L gap), and coronal curve location were regressed for each response variable (SRS-22 and ODI) univariately. Age and L gap could not be used together because of high colinearity. Coronal curve location was removed owing to an insignificant correlation. Two initial models were considered per response, consisting of diagnosis and age in one and diagnosis and L gap in the other. The rest of the potentially predictive variables were introduced in these models one at a time. Final models were evaluated using stepwise automatic model selection. RESULTS: For ODI, body mass index (BMI), gender, and sagittal and spinopelvic parameters were in the basic model but only BMI and gender in the model with L gap and only gender in the model with age were highly predictive. For SRS-22, a large number of parameters were in the basic model but BMI, gender, coronal balance, lordosis curve, and sagittal vertical axis in the model with L gap and only gender in the model with age were highly predictive. Coronal curve location was not significantly predictive in any model. CONCLUSIONS: These findings reiterate the importance of patient diagnosis, age, and/or the amount of lordosis as the most important factors affecting HRQL in ASD. Gender, BMI, and sagittal vertical axis appear to be consistently important co-variables whereas coronal balance and magnitude of L curves may also be important in SRS-22. These may aid in better understanding the problem in ASD and may be useful in future classifications.