Effect of Age on Postoperative Complications and Patient Reported Outcomes in Severe Adult Spinal Deformity: Patients 60 Years

2016 ◽  
Vol 16 (10) ◽  
pp. S291
Author(s):  
Amit Jain ◽  
Lawrence G. Lenke ◽  
Christopher I. Shaffrey ◽  
Michael G. Fehlings ◽  
Benny Dahl ◽  
...  
2015 ◽  
Vol 15 (10) ◽  
pp. S148-S149 ◽  
Author(s):  
International Spine Study Group ◽  
Amit Jain ◽  
Christopher P. Ames ◽  
Brian J. Neuman ◽  
Daniel M. Sciubba ◽  
...  

2019 ◽  
Vol 19 (9) ◽  
pp. S34
Author(s):  
Alvaro Ibaseta ◽  
Rafa Rahman ◽  
Nicholas S. Andrade ◽  
Richard L. Skolasky ◽  
Lee H. Riley ◽  
...  

2014 ◽  
Vol 14 (11) ◽  
pp. S21 ◽  
Author(s):  
Peter G. Passias ◽  
Sun Yang ◽  
Alexandra Soroceanu ◽  
Justin S. Smith ◽  
Christopher I. Shaffrey ◽  
...  

2018 ◽  
Vol 108 (4) ◽  
pp. 343-351 ◽  
Author(s):  
K. Kyrölä ◽  
H. Kautiainen ◽  
L. Pekkanen ◽  
P. Mäkelä ◽  
I. Kiviranta ◽  
...  

Background and Aims: Adult spinal deformity surgery has increased with the aging population and modern surgical approaches, although it has high complication and reoperation rates. The permanence of radiographic correction, mechanical complications, predictive factors for poor patient-reported outcomes, and patient satisfaction were analyzed. Material and Methods: A total of 79 adult patients were retrospectively analyzed at baseline and 1–9 years after adult spinal deformity correction between 2007 and 2016. Patient-reported outcomes (Oswestry Disability Index, visual analog scale, and Scoliosis Research Society–30 scores), changes in radiographic alignment, indications for reoperation, predictors of poor outcomes according to the Oswestry Disability Index and Scoliosis Research Society–30 scores, and patient satisfaction with management were studied. Results: Oswestry Disability Index and visual analog scale scores (p = 0.001), radiographic correction of thoracic kyphosis, lumbar lordosis, and pelvic retroversion (p ⩽ 0.001) and sagittal vertical axis (p = 0.043) were significantly better at 4–5 years of follow-up than at baseline. The risk for the first reoperation owing to mechanical failure of instrumentation or bone was highest within the first year, at 13.9% (95% confidence interval = 8.0%–23.7%), and 29.8% (95% confidence interval = 19.4%–43.9%) at the 5-year follow-up. Oswestry Disability Index and Scoliosis Research Society–30 total scores had a good correlation (r = −0.78; 95% CI = −0.86 to –0.68; p < 0.001). Satisfaction with management was correlated with patient-reported outcomes. Male sex and depression (p = 0.021 and 0.018, respectively) predicted poor outcomes according to the Oswestry Disability Index and/or Scoliosis Research Society–30 score. Conclusion: The achieved significant radiographic correction was maintained 5 years postoperatively. Despite reoperations, patient satisfaction and clinical outcomes were good. Depression and male sex predicted poor clinical outcomes.


2020 ◽  
Vol 10 (7) ◽  
pp. 896-907
Author(s):  
Eric O. Klineberg ◽  
Peter G. Passias ◽  
Gregory W. Poorman ◽  
Cyrus M. Jalai ◽  
Abiola Atanda ◽  
...  

Study Design: Retrospective review of prospective database. Objective: Complication rates for adult spinal deformity (ASD) surgery vary widely because there is no accepted system for categorization. Our objective was to identify the impact of complication occurrence, minor-major complication, and Clavien-Dindo complication classification (Cc) on clinical variables and patient-reported outcomes. Methods: Complications in surgical ASD patients with complete baseline and 2-year data were considered intraoperatively, perioperatively (<6 weeks), and postoperatively (>6 weeks). Primary outcome measures were complication timing and severity according to 3 scales: complication presence (yes/no), minor-major, and Cc score. Secondary outcomes were surgical outcomes (estimated blood loss [EBL], length of stay [LOS], reoperation) and health-related quality of life (HRQL) scores. Univariate analyses determined complication presence, type, and Cc grade impact on operative variables and on HRQL scores. Results: Of 167 patients, 30.5% (n = 51) had intraoperative, 48.5% (n = 81) had perioperative, and 58.7% (n = 98) had postoperative complications. Major intraoperative complications were associated with increased EBL ( P < .001) and LOS ( P = .0092). Postoperative complication presence and major postoperative complication were associated with reoperation ( P < .001). At 2 years, major perioperative complications were associated with worse ODI, SF-36, and SRS activity and appearance scores ( P < .02). Increasing perioperative Cc score and postoperative complication presence were the best predictors of worse HRQL outcomes ( P < .05). Conclusion: The Cc Scale was most useful in predicting changes in patient outcomes; at 2 years, patients with raised perioperative Cc scores and postoperative complications saw reduced HRQL improvement. Intraoperative and perioperative complications were associated with worse short-term surgical and inpatient outcomes.


2017 ◽  
Vol 102 ◽  
pp. 258-262 ◽  
Author(s):  
Amit Jain ◽  
Khaled M. Kebaish ◽  
Daniel M. Sciubba ◽  
Hamid Hassanzadeh ◽  
Justin K. Scheer ◽  
...  

2020 ◽  
pp. 219256822096306
Author(s):  
Kurt Lehner ◽  
Jeff Ehresman ◽  
Zach Pennington ◽  
A. Karim Ahmed ◽  
Daniel Lubelski ◽  
...  

Study Design: Narrative review Objective: Decision making in surgery for adult spinal deformity (ASD) is complex due to the multifactorial etiology, numerous surgical options, and influence of multiple medical and psychosocial factors on patient outcomes. Predictive analytics provide computational tools to analyze large data sets and generate hypotheses regarding new data. In this review, we examine the use of predictive analytics to predict patient-reported outcomes (PROs) in ASD surgery. Methods: A search of PubMed, Web of Science, and Embase databases was performed to identify all potentially relevant studies up to February 1, 2020. Studies were included based on the use of predictive analytics to predict PROs in ASD. Results: Of 57 studies identified and reviewed, 7 studies were included. Multiple algorithms including supervised and unsupervised methods were used. Significant heterogeneity was observed with choice of PROs modeled including ODI, SRS22, and SF36, assessment of model accuracy, and with the model accuracy and area under the receiver operating curve values (ranging from 30% to 86% and 0.57 to 0.96, respectively). Models were built with data sets of patients ranging from 89 to 570 patients with a range of 22 to 267 variables. Conclusions: Predictive analytics makes accurate predictions regarding PROs regarding pain, disability, and work and social function; PROs regarding satisfaction, self-image, and psychologic aspects of ASD were predicted with the lowest accuracy. Our review demonstrates a relative paucity of studies on ASD with limited databases. Future studies should include larger and more diverse databases and provide external validation of preexisting models.


2020 ◽  
Vol 20 (9) ◽  
pp. S189
Author(s):  
Jun S. Kim ◽  
Nathan J. Lee ◽  
Joseph M. Lombardi ◽  
Andrew C. Vivas ◽  
Scott L. Zuckerman ◽  
...  

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