Browsing by Subject "patient satisfaction"
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Item Open Access Long-term impact of obesity on patient-reported outcomes and patient satisfaction after lumbar spine surgery: an observational study.(Journal of neurosurgery. Spine, 2020-09) Park, Christine; Garcia, Alessandra N; Cook, Chad; Shaffrey, Christopher I; Gottfried, Oren NObjective
Obese body habitus is a challenging issue to address in lumbar spine surgery. There is a lack of consensus on the long-term influence of BMI on patient-reported outcomes and satisfaction. This study aimed to examine the differences in patient-reported outcomes over the course of 12 and 24 months among BMI classifications of patients who underwent lumbar surgery.Methods
A search was performed using the Quality Outcomes Database (QOD) Spine Registry from 2012 to 2018 to identify patients who underwent lumbar surgery and had either a 12- or 24-month follow-up. Patients were categorized based on their BMI as normal weight (≤ 25 kg/m2), overweight (25-30 kg/m2), obese (30-40 kg/m2), and morbidly obese (> 40 kg/m2). Outcomes included the Oswestry Disability Index (ODI) and the visual analog scale (VAS) for back pain (BP) and leg pain (LP), and patient satisfaction was measured at 12 and 24 months postoperatively.Results
A total of 31,765 patients were included. At both the 12- and 24-month follow-ups, those who were obese and morbidly obese had worse ODI, VAS-BP, and VAS-LP scores (all p < 0.01) and more frequently rated their satisfaction as "I am the same or worse than before treatment" (all p < 0.01) compared with those who were normal weight. Receiver operating characteristic curve analysis revealed that the BMI cutoffs for predicting worsening disability and surgery dissatisfaction were 30.1 kg/m2 and 29.9 kg/m2 for the 12- and 24-month follow-ups, respectively.Conclusions
Higher BMI was associated with poorer patient-reported outcomes and satisfaction at both the 12- and 24-month follow-ups. BMI of 30 kg/m2 is the cutoff for predicting worse patient outcomes after lumbar surgery.Item Open Access Patient-reported outcome trajectories the first 24 months after surgery for cervical spondylotic myelopathy: a Quality Outcomes Database study.(Journal of neurosurgery. Spine, 2025-01) Zeitouni, Daniel; Johnson, Sarah E; Ibrahim, Sufyan; Bisson, Erica F; Mummaneni, Praveen V; Haid, Regis W; Chan, Andrew K; Chou, Dean; Wang, Michael Y; Knightly, John J; Meyer, Scott; Gottfried, Oren N; Shaffrey, Christopher I; Virk, Michael S; Fu, Kai-Ming G; Shaffrey, Mark E; Park, Paul; Foley, Kevin T; Upadhyaya, Cheerag D; Potts, Eric A; Turner, Jay D; Uribe, Juan S; Tumialán, Luis M; Coric, Domagoj; Bydon, Mohamad; Asher, Anthony LObjective
Cervical spondylotic myelopathy (CSM) shows varying levels of improvement after surgical treatment. While some patients improve soon after surgery, others may take months to years to show any signs of improvement. The goal of this study was to evaluate postoperative improvement, patient-reported outcomes, and patient satisfaction up to 2 years after surgical treatment for CSM, which will help optimize the current treatment strategies and effectively manage patient expectations.Methods
This was a retrospective study of prospectively collected data using the Quality Outcomes Database. The primary outcomes of interest were achievement of the minimal clinically important difference (MCID) for the numeric rating scale for neck and arm pain, modified Japanese Orthopaedic Association, Neck Disability Index, and EQ-5D scores and postoperative satisfaction (North American Spine Society scale). Early and sustained improvement was defined as MCID achievement in at least one patient-reported outcome measure (PROM) at the 3-, 12-, and 24-month follow-ups. Transient improvement was defined as MCID achievement only at the 3-month and/or 12-month follow-up but not at the 24-month follow-up. Late improvement was defined as MCID achievement in at least one PROM only at the 24-month follow-up.Results
There were 630 patients included in the comparative analysis. A total of 463 (73.5%) patients achieved early and sustained improvement, 105 (16.7%) patients experienced transient improvement with subsequent decline, 25 (4.0%) patients reported late improvement, and 37 (5.9%) patients did not report any clinically meaningful improvement after surgery. Patients with an anterior approach were more likely to be in the early and sustained improvement group. African American patients (OR 2.98, 95% CI 1.14-7.76; p = 0.03) were more likely to report late improvement when compared with White patients. The overall satisfaction rate at the 24-month follow-up was 87.8%.Conclusions
These findings indicate that 73.5% of patients achieve early and sustained improvement, and 87.8% of patients are satisfied with surgery 24 months postoperatively.Item Open Access Predictors of patient satisfaction in the surgical treatment of cervical spondylotic myelopathy.(Journal of neurosurgery. Spine, 2024-08) Schupper, Alexander J; DiDomenico, Joseph; Farber, S Harrison; Johnson, Sarah E; Bisson, Erica F; Bydon, Mohamad; Asher, Anthony L; Coric, Domagoj; Potts, Eric A; Foley, Kevin T; Wang, Michael Y; Fu, Kai-Ming; Virk, Michael S; Shaffrey, Christopher I; Gottfried, Oren N; Park, Christine; Knightly, John J; Meyer, Scott; Park, Paul; Upadhyaya, Cheerag; Shaffrey, Mark E; Chan, Andrew K; Tumialán, Luis M; Chou, Dean; Haid, Regis W; Mummaneni, Praveen V; Uribe, Juan S; Turner, Jay DObjective
Patients with cervical spondylotic myelopathy (CSM) experience progressive neurological impairment. Surgical intervention is often pursued to halt neurological symptom progression and allow for recovery of function. In this paper, the authors explore predictors of patient satisfaction following surgical intervention for CSM.Methods
This is a retrospective review of prospectively collected data from the multicenter Quality Outcomes Database. Patients who underwent surgical intervention for CSM with a minimum follow-up of 2 years were included. Patient-reported satisfaction was defined as a North American Spine Society (NASS) satisfaction score of 1 or 2. Patient demographics, surgical parameters, and outcomes were assessed as related to patient satisfaction. Patient quality of life scores were measured at baseline and 24-month time points. Univariate regression analyses were performed using the chi-square test or Student t-test to assess patient satisfaction measures. Multivariate logistic regression analysis was conducted to assess for factors predictive of postoperative satisfaction at 24 months.Results
A total of 1140 patients at 14 institutions with CSM who underwent surgical intervention were included, and 944 completed a patient satisfaction survey at 24 months postoperatively. The baseline modified Japanese Orthopaedic Association (mJOA) score was 12.0 ± 2.8. A total of 793 (84.0%) patients reported satisfaction (NASS score 1 or 2) after 2 years. Male and female patients reported similar satisfaction rates (female sex: 47.0% not satisfied vs 48.5% satisfied, p = 0.73). Black race was associated with less satisfaction (26.5% not satisfied vs 13.2% satisfied, p < 0.01). Baseline psychiatric comorbidities, obesity, and length of stay did not correlate with 24-month satisfaction. Crossing the cervicothoracic junction did not affect satisfactory scores (p = 0.19), and minimally invasive approaches were not associated with increased patient satisfaction (p = 0.14). Lower baseline numeric rating scale neck pain scores (5.03 vs 5.61, p = 0.04) and higher baseline mJOA scores (12.28 vs 11.66, p = 0.01) were associated with higher satisfaction rates.Conclusions
Surgical treatment of CSM results in a high rate of patient satisfaction (84.0%) at the 2-year follow-up. Patients with milder myelopathy report higher satisfaction rates, suggesting that intervention earlier in the disease process may result in greater long-term satisfaction.Item Open Access Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study.(Neurosurgical focus, 2023-06) Park, Christine; Mummaneni, Praveen V; Gottfried, Oren N; Shaffrey, Christopher I; Tang, Anthony J; Bisson, Erica F; Asher, Anthony L; Coric, Domagoj; Potts, Eric A; Foley, Kevin T; Wang, Michael Y; Fu, Kai-Ming; Virk, Michael S; Knightly, John J; Meyer, Scott; Park, Paul; Upadhyaya, Cheerag; Shaffrey, Mark E; Buchholz, Avery L; Tumialán, Luis M; Turner, Jay D; Sherrod, Brandon A; Agarwal, Nitin; Chou, Dean; Haid, Regis W; Bydon, Mohamad; Chan, Andrew KObjective
The purpose of this study was to evaluate the performance of different supervised machine learning algorithms to predict achievement of minimum clinically important difference (MCID) in neck pain after surgery in patients with cervical spondylotic myelopathy (CSM).Methods
This was a retrospective analysis of the prospective Quality Outcomes Database CSM cohort. The data set was divided into an 80% training and a 20% test set. Various supervised learning algorithms (including logistic regression, support vector machine, decision tree, random forest, extra trees, gaussian naïve Bayes, k-nearest neighbors, multilayer perceptron, and extreme gradient boosted trees) were evaluated on their performance to predict achievement of MCID in neck pain at 3 and 24 months after surgery, given a set of predicting baseline features. Model performance was assessed with accuracy, F1 score, area under the receiver operating characteristic curve, precision, recall/sensitivity, and specificity.Results
In total, 535 patients (46.9%) achieved MCID for neck pain at 3 months and 569 patients (49.9%) achieved it at 24 months. In each follow-up cohort, 501 patients (93.6%) were satisfied at 3 months after surgery and 569 patients (100%) were satisfied at 24 months after surgery. Of the supervised machine learning algorithms tested, logistic regression demonstrated the best accuracy (3 months: 0.76 ± 0.031, 24 months: 0.773 ± 0.044), followed by F1 score (3 months: 0.759 ± 0.019, 24 months: 0.777 ± 0.039) and area under the receiver operating characteristic curve (3 months: 0.762 ± 0.027, 24 months: 0.773 ± 0.043) at predicting achievement of MCID for neck pain at both follow-up time points, with fair performance. The best precision was also demonstrated by logistic regression at 3 (0.724 ± 0.058) and 24 (0.780 ± 0.097) months. The best recall/sensitivity was demonstrated by multilayer perceptron at 3 months (0.841 ± 0.094) and by extra trees at 24 months (0.817 ± 0.115). Highest specificity was shown by support vector machine at 3 months (0.952 ± 0.013) and by logistic regression at 24 months (0.747 ± 0.18).Conclusions
Appropriate selection of models for studies should be based on the strengths of each model and the aims of the studies. For maximally predicting true achievement of MCID in neck pain, of all the predictions in this balanced data set the appropriate metric for the authors' study was precision. For both short- and long-term follow-ups, logistic regression demonstrated the highest precision of all models tested. Logistic regression performed consistently the best of all models tested and remains a powerful model for clinical classification tasks.