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

Acaroğlu, Emre; Güler, Ümit Özgür; Olgun, Z. Deniz; Yavuz, Yalçin; Pellisé, Ferran; Domingo-Sàbat, Montserrat; Yakici, Sule; Alanay, Ahmet; Perez-Grueso, Francesco Sanchez; Yavuz, Yasemin

doi:10.1016/j.jspd.2014.11.004

Cited by 42 publications

(30 citation statements)

References 20 publications

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“…Notably, in a study by Daubs [57] of 85 adult scoliosis patients, preoperative CSVL [ 4 cm, LC change, and sagittal imbalance (SVA) were shown to impact SRS-22 scores with the latter being the most significant predictor. In a multicenter study by Acaroglu [58] of 483 patients with adult deformity, followup coronal imbalance and LC magnitude were shown to influence SRS-22 values among the SVA, LL, BMI, gender and age. In another study by Ploumis [59] of 58 adult scoliosis patients, preoperative coronal imbalance [5 cm, LL, but not sagittal imbalance, significantly affected function and outcomes.…”

Section: Clinical Outcomesmentioning

confidence: 98%

Factors influencing radiographic and clinical outcomes in adult scoliosis surgery: a study of 448 European patients

et al. 2015

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In the current study, the magnitude of deformity correction in the sagittal and coronal planes was shown to have significant impact on radiographic and clinical outcomes as well as revision rates. Findings indicate that risks for complications might be reduced by restoration of sagittal balance, appropriate deformity correction and advanced lumbosacral fixation. The use of preoperative LIV-TO and LIV-TO on bending/traction-films were shown to be useful for surgical planning, selection of the LIV and prediction of follow-up-TO, respectively. Parameters of sagittal balance rather than coronal deformity predicted ASD.

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Section: Clinical Outcomesmentioning

confidence: 98%

Factors influencing radiographic and clinical outcomes in adult scoliosis surgery: a study of 448 European patients

et al. 2015

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“…Several authors have investigated the relationship between HRQOL and radiographic parameters. Both coronal curve location and extent were not significantly predictive of life quality in Acaroglu's study (14). Another study showed that coronal imbalance <4 cm does not influence quality of life in scoliosis (15).…”

Section: Discussionmentioning

confidence: 84%

Coronal Balance vs. Sagittal Profile in Adolescent Idiopathic Scoliosis, Are They Correlated?

Wang

Zhao

et al. 2020

Front. Pediatr.

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Background: Clinical evaluation of the postural balance in adolescent idiopathic scoliosis has been evaluated by coronal and sagittal parameters. The relationship between coronal and sagittal parameters has not been fully studied in adolescent idiopathic scoliosis. Objective: This study aimed to evaluate the relationship between coronal and sagittal parameters in idiopathic scoliosis. Methods: One hundred and three patients of Adolescent Idiopathic Scoliosis (AIS) were recruited. Radiographs were evaluated for the following spine and pelvic measurements. Coronal parameters including thoracic Cobb angle (TC), lumbar Cobb angle (LC), global coronal balance (GCB), apical translation of the major curve (AT), and coronal pelvic tilt (CPT) were analyzed. Sagittal parameters including thoracic kyphosis (TK), lumbar lordosis (LL), sagittal vertical axis (SVA), pelvic incidence (PI), pelvic tilt (PT), and sacral slope (SS) were analyzed. A canonical correlation analysis was performed between all of the coronal parameters and sagittal parameters. Results: One hundred and three patients were recruited (male 15, female 88; aged 12.5 ± 1.5 years). Compared with the published age-matched normal population, TK, PI, LL, and SS were not statistically different in the normal group. However, PT was significantly increased in patent groups (P = 0.003). Canonical correlation analysis showed strong correlation between coronal parameters and sagittal parameters, F (20,313) = 2.44, p = 0.001. SVA was not correlated with any coronal parameter. Conclusions: Children with AIS showed an increased pelvic tilt sign. In this study, TC, LC, GCB, AT, CPT, TK, LL, SVA, PI, PT, and SS contributed to the postural balance. In AIS, coronal balance is contributed to sagittal balance.

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“…In this respect, SF-36 MCS appears to be significantly different from other HRQOL parameters for which the most important governing factor had been shown to be sagittal balance and the aetiology of the deformity. 25 This being said, we may also consider that extreme cases of thoracic kyphosis may also be associated with a higher degree of pain and/or respiratory problems, both of which being factors increasing disability. Hence, the importance of thoracic kyphosis in determining the baseline SF-36 MCS may be multi-factorial, affected by appearance as well as disability of patients.…”

Section: Discussionmentioning

confidence: 99%

“…The effect of gender on the other hand is one that has been shown by other studies as well. 25 , 26 , 27 , 28 This is probably due to the different coping mechanisms of genders with the problems associated with ASD, be it appearance or pain and disability or both. Research consistently demonstrates that men and women differ in their responses to pain and there are multiple psychosocial processes that contribute to this difference.…”

Section: Discussionmentioning

confidence: 99%

Analysis of factors affecting baseline SF-36 Mental Component Summary in Adult Spinal Deformity and its impact on surgical outcomes

Mmopelwa¹,

Ayhan²,

Yüksel³

et al. 2018

Acta Orthopaedica et Traumatologica Turcica

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ObjectivesTo identify the factors that affect SF-36 mental component summary (MCS) in patients with adult spinal deformity (ASD) at the time of presentation, and to analyse the effect of SF-36 MCS on clinical outcomes in surgically treated patients.MethodsProspectively collected data from a multicentric ASD database was analysed for baseline parameters. Then, the same database for surgically treated patients with a minimum of 1-year follow-up was analysed to see the effect of baseline SF-36 MCS on treatment results. A clinically useful SF-36 MCS was determined by ROC Curve analysis.ResultsA total of 229 patients with the baseline parameters were analysed. A strong correlation between SF-36 MCS and SRS-22, ODI, gender, and diagnosis were found (p < 0.05). For the second part of the study, a total of 186 surgically treated patients were analysed. Only for SF-36 PCS, the un-improved cohort based on minimum clinically important differences had significantly lower mean baseline SF-36 MCS (p < 0.001). SF-36 MCS was found to have an odds ratio of 0.914 in improving SF-36 PCS score (unit by unit) (p < 0.001). A cut-off point of 43.97 for SF-36 MCS was found to be predictive of SF-36 PCS (AUC = 0.631; p < 0.001).ConclusionsThe factors effective on the baseline SF-36 MCS in an ASD population are other HRQOL parameters such as SRS-22 and ODI as well as the baseline thoracic kyphosis and gender. This study has also demonstrated that baseline SF-36 MCS does not necessarily have any effect on the treatment results by surgery as assessed by SRS-22 or ODI.Level of evidenceLevel III, prognostic study.

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

Cited by 42 publications

References 20 publications

Factors influencing radiographic and clinical outcomes in adult scoliosis surgery: a study of 448 European patients

Factors influencing radiographic and clinical outcomes in adult scoliosis surgery: a study of 448 European patients

Coronal Balance vs. Sagittal Profile in Adolescent Idiopathic Scoliosis, Are They Correlated?

Analysis of factors affecting baseline SF-36 Mental Component Summary in Adult Spinal Deformity and its impact on surgical outcomes

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