Louis Boissière1, Mitsuru Takemoto2, Anouar Bourghli3, Jean-Marc Vital2, Ferran Pellisé4, Ahmet Alanay5, Caglar Yilgor5, Emre Acaroglu6, Francisco Javier Perez-Grueso7, Frank Kleinstück8, Ibrahim Obeid2. 1. Spine Unit 1, Bordeaux University Hospital, Place Amélie Raba-Léon, 33076 Bordeaux, France. Electronic address: boissierelouis@yahoo.fr. 2. Spine Unit 1, Bordeaux University Hospital, Place Amélie Raba-Léon, 33076 Bordeaux, France. 3. Orthopedic and Spinal Surgery Department, Kingdom Hospital, King Abdul Aziz Rd, Ar Rabi, Riyadh 13316, Saudi Arabia. 4. Spine Surgery Unit, Hospital Vall d'Hebron, Passeig Vall Hebron 119-129, Barcelona 08035, Spain. 5. Spine Surgery Unit, Acibadem Maslak Hospital, Büyükdere Cd. No:40 Maslak, 34457, İstanbul, Turkey. 6. Ankara Spine Center, İran Caddesi 45/2 Kavaklıder, 06450, Ankara, Turkey. 7. Spine Surgery Unit, Hospital Universitario La Paz, Paseo de la Castellana, 261, 28046 Madrid, Spain. 8. Spine Center, Schulthess Klinik, Lengghalde 2, 8008 Zürich, Switzerland.
Abstract
BACKGROUND CONTEXT: Many radiological parameters have been reported to correlate with patient's disability including sagittal vertical axis (SVA), pelvic tilt (PT), and pelvic incidence minus lumbar lordosis (PI-LL). European literature reports other parameters such as lumbar lordosis index (LLI) and the global tilt (GT). If most parameters correlate with health-related quality of life scores (HRQLs), their impact on disability remains unclear. PURPOSE: This study aimed to validate these parameters by investigating their correlation with HRQLs. It also aimed to evaluate the relationship between each of these sagittal parameters and HRQLs to fully understand the impact in adult spinal deformity management. STUDY DESIGN: A retrospective review of a multicenter, prospective database was carried out. PATIENT SAMPLE: The database inclusion criteria were adults (>18 years old) presenting any of the following radiographic parameters: scoliosis (Cobb ≥20°), SVA ≥5 cm, thoracic kyphosis ≥60° or PT ≥25°. All patients with complete data at baseline were included. OUTCOME MEASURES: Health-related quality of life scores, demographic variables (DVs), and radiographic parameters were collected at baseline. METHODS: Differences in HRQLs among groups of each DV were assessed with analyses of variance. Correlations between radiographic variables and HRQLs were assessed using the Spearman rank correlation. Multivariate linear regression models were fitted for each of the HRQLs (Oswestry Disability Index [ODI], Scoliosis Research Society-22 subtotal score, or physical component summaries) with sagittal parameters and covariants as independent variables. A p<.05 value was considered statistically significant. RESULTS: Among a total of 755 included patients (mean age, 52.1 years), 431 were non-surgical candidates and 324 were surgical candidates. Global tilt and LLI significantly correlated with HRQLs (r=0.4 and -0.3, respectively) for univariate analysis. Demographic variables such as age, gender, body mass index, past surgery, and surgical or non-surgical candidate were significant predictors of ODI score. The likelihood ratio tests for the addition of the sagittal parameters showed that SVA, GT, T1 sagittal tilt, PI-LL, and LLI were statistically significant predictors for ODI score even adjusted for covariates. The differences of R2 values from Model 1 were 1.5% at maximum, indicating that the addition of sagittal parameters to the reference model increased only 1.5% of the variance of ODI explained by the models. CONCLUSION: GT and LLI appear to be independent radiographic parameters impacting ODI variance. If most of the parameters described in the literature are correlated with ODI, the impact of these radiographic parameters is less than 2% of ODI variance, whereas 40% are explained by DVs. The importance of radiographic parameters lies more on their purpose to describe and understand the malalignment mechanisms than their univariate correlation with HRQLs.
BACKGROUND CONTEXT: Many radiological parameters have been reported to correlate with patient's disability including sagittal vertical axis (SVA), pelvic tilt (PT), and pelvic incidence minus lumbar lordosis (PI-LL). European literature reports other parameters such as lumbar lordosis index (LLI) and the global tilt (GT). If most parameters correlate with health-related quality of life scores (HRQLs), their impact on disability remains unclear. PURPOSE: This study aimed to validate these parameters by investigating their correlation with HRQLs. It also aimed to evaluate the relationship between each of these sagittal parameters and HRQLs to fully understand the impact in adult spinal deformity management. STUDY DESIGN: A retrospective review of a multicenter, prospective database was carried out. PATIENT SAMPLE: The database inclusion criteria were adults (>18 years old) presenting any of the following radiographic parameters: scoliosis (Cobb ≥20°), SVA ≥5 cm, thoracic kyphosis ≥60° or PT ≥25°. All patients with complete data at baseline were included. OUTCOME MEASURES: Health-related quality of life scores, demographic variables (DVs), and radiographic parameters were collected at baseline. METHODS: Differences in HRQLs among groups of each DV were assessed with analyses of variance. Correlations between radiographic variables and HRQLs were assessed using the Spearman rank correlation. Multivariate linear regression models were fitted for each of the HRQLs (Oswestry Disability Index [ODI], Scoliosis Research Society-22 subtotal score, or physical component summaries) with sagittal parameters and covariants as independent variables. A p<.05 value was considered statistically significant. RESULTS: Among a total of 755 included patients (mean age, 52.1 years), 431 were non-surgical candidates and 324 were surgical candidates. Global tilt and LLI significantly correlated with HRQLs (r=0.4 and -0.3, respectively) for univariate analysis. Demographic variables such as age, gender, body mass index, past surgery, and surgical or non-surgical candidate were significant predictors of ODI score. The likelihood ratio tests for the addition of the sagittal parameters showed that SVA, GT, T1 sagittal tilt, PI-LL, and LLI were statistically significant predictors for ODI score even adjusted for covariates. The differences of R2 values from Model 1 were 1.5% at maximum, indicating that the addition of sagittal parameters to the reference model increased only 1.5% of the variance of ODI explained by the models. CONCLUSION: GT and LLI appear to be independent radiographic parameters impacting ODI variance. If most of the parameters described in the literature are correlated with ODI, the impact of these radiographic parameters is less than 2% of ODI variance, whereas 40% are explained by DVs. The importance of radiographic parameters lies more on their purpose to describe and understand the malalignment mechanisms than their univariate correlation with HRQLs.
Authors: Takashi Fujishiro; Louis Boissière; Derek Thomas Cawley; Daniel Larrieu; Olivier Gille; Jean-Marc Vital; Ferran Pellisé; Francisco Javier Sanchez Pérez-Grueso; Frank Kleinstück; Emre Acaroglu; Ahmet Alanay; Ibrahim Obeid Journal: Eur Spine J Date: 2018-03-30 Impact factor: 3.134
Authors: Kazunori Hayashi; Louis Boissière; Fernando Guevara-Villazón; Daniel Larrieu; Anouar Bourghli; Olivier Gille; Jean-Marc Vital; Ferran Pellisé; Francisco Javier Sánchez Pérez-Grueso; Frank Kleinstück; Emre Acaroğlu; Ahmet Alanay; Hiroaki Nakamura; Ibrahim Obeid Journal: Eur Spine J Date: 2019-10-31 Impact factor: 3.134
Authors: David Christopher Kieser; Michael Charles Wyatt; Louis Boissiere; Kazunori Hayashi; Derek Thomas Cawley; Caglar Yilgor; Daniel Larrieu; Takashi Fujishiro; Ahmet Alanay; Emre Acaroglu; Frank Kleinstueck; Ferran Pellisé; Francisco Javier Sánchez Perez-Grueso; Anouar Bourghli; Jean-Marc Vital; Olivier Gille; Ibrahim Obeid Journal: J Spine Surg Date: 2019-12
Authors: Peter G Passias; Samantha R Horn; Cheongeun Oh; Subaraman Ramchandran; Douglas C Burton; Virginie Lafage; Renaud Lafage; Gregory W Poorman; Leah Steinmetz; Frank A Segreto; Cole A Bortz; Justin S Smith; Christopher Ames; Christopher I Shaffrey; Han Jo Kim; Alexandra Soroceanu; Eric O Klineberg Journal: J Spine Surg Date: 2018-06
Authors: D C Kieser; A Bourghli; D Larrieu; D T Cawley; K Hayashi; S Jakinapally; J Pizones; L Boissiere; I Obeid Journal: Spine Deform Date: 2021-03-02