Multiple Regression Analysis of Factors Affecting the Mental Component Score Constituents of SF36 in Adult Spinal Deformity

Transcription

1 Multiple Regression Analysis of Factors Affecting the Mental Component Score Constituents of SF36 in Adult Spinal Deformity Selim Ayhan 1, Selcen Yuksel 2, Asli Niyazi 3, Vugar Nabiyev 1, Umit Ozgur Guler 1, Montse Domingo-Sabat 4, Ferran Pellise 5, Ahmet Alanay 6, Francisco Javier Sanchez Perez-Grueso 7, Frank Kleinstück 8, Ibrahim Obeid 9, Emre Acaroglu 1, -ESSG 1 Ankara Spine Center, Ankara, Turkey 2 Biostatistics, Yildirim Beyazit University, Ankara, Turkey 3 Psychology, METU NCC, Nicosia, Turkish Republic of Northern Cyprus 4 Fundacio Institut de Recerca Vall d Hebron, Barcelona, Spain 5 Spine Unit, Hospital Universitari Vall d Hebron, Barcelona, Spain 6 Comprehensive Spine Center, Acibadem Maslak Hospital, Istanbul, Turkey 7 Spine Unit, Hospital Universitari La Paz, Madrid, Spain 8 Spine Center, Schulthess Klinik, Zürich, Switzerland 9 Spine Unit, Bordeaux University Hospital, Bordeaux, France 1

2 Decision Making in Adult Spinal Deformity (ASD) Clinical parameters Age, gender, comorbidities, diagnosis Radiographical parameters MCCA, PT, PI, SS, SVA, GT HRQOL parameters ODI, SRS22, SF36 2

3 ASD affects mental and psychological functioning* evidence is limited this domain has not been studied in detail *Pellise F. et al. Impact on HRQOL of ASD compared with other chronic conditions. Eur Spine J, 2015 Jan 24(1):

4 Aim To develop an understanding of which factors have a greater impact on the SF36-mental component score (MCS) and to establish a hierarchy of these parameters through multiple regression analysis 4

5 Patients and Methods From international prospective database All patients with baseline parameters Variables Dependent SF36-MCS Independent Demographical Radiographical HRQOL Statistics Correlation analysis Multiple regression 5

6 Results Demographical Characteristics A total of 229 patients Mean age (range) 49.4 (18-85) Gender (F/M)(%) 181/47 ( ) Comorbidity (+/-)(%) 81/148 ( ) Diagnosis n % Idiopathic Degenerative Failed-back HRQOL SF36 MCS SRS-22 ODI SF36 PCS n Mean ± Std. Dev ± ± ± ± 9.1

7 Correlation Analysis Results 7

8 Regression Analysis Results Standardized residuals normally distributed All assumptions met for this model R 2 =0.254 (p<0.001) 8

9 Regression Analysis Multiple Linear Regression Results Results Model Standardized Coefficients p Constant <0.001 SRS <0.001 Thoracic Kyphosis Gender (male)

10 Discussion - Summary Multiple regression model All assumptions are appropriate HRQoL (SRS22 and ODI) Thoracic Kyphosis token of appearance Gender different mechanisms of coping with disability 10

11 Thank you SF36 MCS 1pt SRS 22 + x TK - x0.194 Gender male + x0.197 Model Standardized Coefficients p Constant <0.001 SRS <0.001 Thoracic Kyphosis Gender (male) This project has been funded by a research grant from Depuy Synthes Spine Inc. directed to the 11

12 Disclosures Ayhan S, Niyazi A: None Yuksel S, Guler UO: Grants/research support: Eurospine Nabiyev V: Grants/research support: Depuy Synthes, Medtronic Domingo-Sabat M: Grants/research support: Depuy Synthes Pellise F, Perez-Grueso F.J.S.: Grants/research support: Depuy Synthes, K2M Consultant: Depuy Synthes Alanay A: Grants/research support: Depuy Synthes Consultant: Depuy Synthes, Stryker, Medtronic Kleinstück F: Consultant: Depuy Synthes Obeid I: Grants/research support: Depuy Synthes Consultant: Alfatec Spine, Depuy Synthes, Medtronic Acaroglu E: Grants/research support: Fondation Cotrel, Depuy Synthes, Medtronic, Eurospine Consultant: Medtronic, AOSpine Stock/shareholder: IncredX ESSG: Grants/research support: Depuy Synthes 12