Browsing by Subject "Preoperative Period"
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Item Open Access Association of myelopathy scores with cervical sagittal balance and normalized spinal cord volume: analysis of 56 preoperative cases from the AOSpine North America Myelopathy study.(Spine, 2013-10) Smith, Justin S; Lafage, Virginie; Ryan, Devon J; Shaffrey, Christopher I; Schwab, Frank J; Patel, Alpesh A; Brodke, Darrel S; Arnold, Paul M; Riew, K Daniel; Traynelis, Vincent C; Radcliff, Kris; Vaccaro, Alexander R; Fehlings, Michael G; Ames, Christopher PStudy design
Post hoc analysis of prospectively collected data.Objective
Development of methods to determine in vivo spinal cord dimensions and application to correlate preoperative alignment, myelopathy, and health-related quality-of-life scores in patients with cervical spondylotic myelopathy (CSM).Summary of background data
CSM is the leading cause of spinal cord dysfunction. The association between cervical alignment, sagittal balance, and myelopathy has not been well characterized.Methods
This was a post hoc analysis of the prospective, multicenter AOSpine North America CSM study. Inclusion criteria for this study required preoperative cervical magnetic resonance imaging (MRI) and neutral sagittal cervical radiography. Techniques for MRI assessment of spinal cord dimensions were developed. Correlations between imaging and health-related quality-of-life scores were assessed.Results
Fifty-six patients met inclusion criteria (mean age = 55.4 yr). The modified Japanese Orthopedic Association (mJOA) scores correlated with C2-C7 sagittal vertical axis (SVA) (r = -0.282, P = 0.035). Spinal cord volume correlated with cord length (r = 0.472, P < 0.001) and cord average cross-sectional area (r = 0.957, P < 0.001). For all patients, no correlations were found between MRI measurements of spinal cord length, volume, mean cross-sectional area or surface area, and outcomes. For patients with cervical lordosis, mJOA scores correlated positively with cord volume (r = 0.366, P = 0.022), external cord area (r = 0.399, P = 0.012), and mean cross-sectional cord area (r = 0.345, P = 0.031). In contrast, for patients with cervical kyphosis, mJOA scores correlated negatively with cord volume (r = -0.496, P = 0.043) and mean cross-sectional cord area (r = -0.535, P = 0.027).Conclusion
This study is the first to correlate cervical sagittal balance (C2-C7 SVA) to myelopathy severity. We found a moderate negative correlation in kyphotic patients of cord volume and cross-sectional area to mJOA scores. The opposite (positive correlation) was found for lordotic patients, suggesting a relationship of cord volume to myelopathy that differs on the basis of sagittal alignment. It is interesting to note that sagittal balance but not kyphosis is tied to myelopathy score. Future work will correlate alignment changes to cord morphology changes and myelopathy outcomes. SUMMARY STATEMENTS: This is the first study to correlate sagittal balance (C2-C7 SVA) to myelopathy severity. We found a moderate negative correlation in kyphotic patients of cord volume and cross-sectional area to mJOA scores. The opposite (positive correlation) was found for lordotic patients, suggesting a relationship of cord volume to myelopathy that differs on the basis of sagittal alignment.Item Open Access Development of a Modified Cervical Deformity Frailty Index: A Streamlined Clinical Tool for Preoperative Risk Stratification.(Spine, 2019-02) Passias, Peter G; Bortz, Cole A; Segreto, Frank A; Horn, Samantha R; Lafage, Renaud; Lafage, Virginie; Smith, Justin S; Line, Breton; Kim, Han Jo; Eastlack, Robert; Hamilton, David Kojo; Protopsaltis, Themistocles; Hostin, Richard A; Klineberg, Eric O; Burton, Douglas C; Hart, Robert A; Schwab, Frank J; Bess, Shay; Shaffrey, Christopher I; Ames, Christopher P; International Spine Study GroupStudy design
Retrospective review.Objective
Develop a simplified frailty index for cervical deformity (CD) patients.Summary of background data
To improve preoperative risk stratification for surgical CD patients, a CD frailty index (CD-FI) incorporating 40 health deficits was developed. While novel, the CD-FI is clinically impractical due to the large number of factors needed for its calculation. To increase clinical utility, a simpler, modified CD-FI (mCD-FI) is necessary.Methods
CD patients (C2-C7 Cobb>10°, CL>10°, cSVA>4 cm, or CBVA>25°) >18 year with preoperative CD-FI component factors. Pearson bivariate correlation assessed relationships between component deficits of the CD-FI and overall CD-FI score. Top deficits contributing to CD-FI score were included in multiple stepwise regression models. Deficits from model with largest R were dichotomized, and the mean score of all deficits calculated, resulting in mCD-FI score from 0 to 1. Patients were stratified by mCD-FI: Not Frail (NF, <0.3), Frail (0.3-0.5), Severely Frail (SF, >0.5). Means comparison tests established correlations between frailty category and clinical outcomes.Results
Included: 121 CD patients (61 ± 11 yr, 60%F). Multiple stepwise regression models identified 15 deficits as responsible for 86% of the variation in CD-FI; these factors were used to construct the mCD-FI. Overall, mean mCD-FI was 0.31 ± 0.14. Breakdown of patients by mCD-FI category: NF: 47.9%, Frail: 46.3%, SF: 5.8%. Compared with NF and Frail, SF patients had the longest inpatient hospital stays (P = 0.042), as well as greater baseline neck pain (P = 0.033), inferior Neck Disability Index scores (P<0.001) and inferior EQ-5D scores (P < 0.001). Frail patients had higher odds of superficial infection (OR:1.1[1.0-1.2]), and SF patients had increased odds of mortality (OR:8.3[1.3-53.9]).Conclusion
Increased frailty, assessed by mCD-FI, correlated with increased length of stay, neck pain, and decreased health-related quality of life. Frail patients were at greater risk for infection, and severely frail patients had greater odds of mortality. This relationship between frailty and clinical outcomes suggests that mCD-FI offers clinical utility as a preoperative risk stratification tool.Level of evidence
3.Item Open Access Development of a preoperative predictive model for major complications following adult spinal deformity surgery.(Journal of neurosurgery. Spine, 2017-06) Scheer, Justin K; Smith, Justin S; Schwab, Frank; Lafage, Virginie; Shaffrey, Christopher I; Bess, Shay; Daniels, Alan H; Hart, Robert A; Protopsaltis, Themistocles S; Mundis, Gregory M; Sciubba, Daniel M; Ailon, Tamir; Burton, Douglas C; Klineberg, Eric; Ames, Christopher P; International Spine Study GroupOBJECTIVE The operative management of patients with adult spinal deformity (ASD) has a high complication rate and it remains unknown whether baseline patient characteristics and surgical variables can predict early complications (intraoperative and perioperative [within 6 weeks]). The development of an accurate preoperative predictive model can aid in patient counseling, shared decision making, and improved surgical planning. The purpose of this study was to develop a model based on baseline demographic, radiographic, and surgical factors that can predict if patients will sustain an intraoperative or perioperative major complication. METHODS This study was a retrospective analysis of a prospective, multicenter ASD database. The inclusion criteria were age ≥ 18 years and the presence of ASD. In total, 45 variables were used in the initial training of the model including demographic data, comorbidities, modifiable surgical variables, baseline health-related quality of life, and coronal and sagittal radiographic parameters. Patients were grouped as either having at least 1 major intraoperative or perioperative complication (COMP group) or not (NOCOMP group). An ensemble of decision trees was constructed utilizing the C5.0 algorithm with 5 different bootstrapped models. Internal validation was accomplished via a 70/30 data split for training and testing each model, respectively. Overall accuracy, the area under the receiver operating characteristic (AUROC) curve, and predictor importance were calculated. RESULTS Five hundred fifty-seven patients were included: 409 (73.4%) in the NOCOMP group, and 148 (26.6%) in the COMP group. The overall model accuracy was 87.6% correct with an AUROC curve of 0.89 indicating a very good model fit. Twenty variables were determined to be the top predictors (importance ≥ 0.90 as determined by the model) and included (in decreasing importance): age, leg pain, Oswestry Disability Index, number of decompression levels, number of interbody fusion levels, Physical Component Summary of the SF-36, Scoliosis Research Society (SRS)-Schwab coronal curve type, Charlson Comorbidity Index, SRS activity, T-1 pelvic angle, American Society of Anesthesiologists grade, presence of osteoporosis, pelvic tilt, sagittal vertical axis, primary versus revision surgery, SRS pain, SRS total, use of bone morphogenetic protein, use of iliac crest graft, and pelvic incidence-lumbar lordosis mismatch. CONCLUSIONS A successful model (87% accuracy, 0.89 AUROC curve) was built predicting major intraoperative or perioperative complications following ASD surgery. This model can provide the foundation toward improved education and point-of-care decision making for patients undergoing ASD surgery.Item Open Access Postoperative changes in cognition and cerebrospinal fluid neurodegenerative disease biomarkers.(Annals of clinical and translational neurology, 2022-02) Berger, Miles; Browndyke, Jeffrey N; Cooter Wright, Mary; Nobuhara, Chloe; Reese, Melody; Acker, Leah; Bullock, W Michael; Colin, Brian J; Devinney, Michael J; Moretti, Eugene W; Moul, Judd W; Ohlendorf, Brian; Laskowitz, Daniel T; Waligorska, Teresa; Shaw, Leslie M; Whitson, Heather E; Cohen, Harvey J; Mathew, Joseph P; MADCO-PC InvestigatorsObjective
Numerous investigators have theorized that postoperative changes in Alzheimer's disease neuropathology may underlie postoperative neurocognitive disorders. Thus, we determined the relationship between postoperative changes in cognition and cerebrospinal (CSF) tau, p-tau-181p, or Aβ levels after non-cardiac, non-neurologic surgery in older adults.Methods
Participants underwent cognitive testing before and 6 weeks after surgery, and lumbar punctures before, 24 h after, and 6 weeks after surgery. Cognitive scores were combined via factor analysis into an overall cognitive index. In total, 110 patients returned for 6-week postoperative testing and were included in the analysis.Results
There was no significant change from before to 24 h or 6 weeks following surgery in CSF tau (median [median absolute deviation] change before to 24 h: 0.00 [4.36] pg/mL, p = 0.853; change before to 6 weeks: -1.21 [3.98] pg/mL, p = 0.827). There were also no significant changes in CSF p-tau-181p or Aβ over this period. There was no change in cognitive index (mean [95% CI] 0.040 [-0.018, 0.098], p = 0.175) from before to 6 weeks after surgery, although there were postoperative declines in verbal memory (-0.346 [-0.523, -0.170], p = 0.003) and improvements in executive function (0.394, [0.310, 0.479], p < 0.001). There were no significant correlations between preoperative to 6-week postoperative changes in cognition and CSF tau, p-tau-181p, or Aβ42 changes over this interval (p > 0.05 for each).Interpretation
Neurocognitive changes after non-cardiac, non-neurologic surgery in the majority of cognitively healthy, community-dwelling older adults are unlikely to be related to postoperative changes in AD neuropathology (as assessed by CSF Aβ, tau or p-tau-181p levels or the p-tau-181p/Aβ or tau/Aβ ratios).Trial registration
clinicaltrials.gov (NCT01993836).Item Open Access Predicting non-home discharge in epithelial ovarian cancer patients: External validation of a predictive model.(Gynecologic oncology, 2018-10) Connor, Elizabeth V; Newlin, Erica M; Jelovsek, J Eric; AlHilli, Mariam MOBJECTIVE:To externally validate a model predicting non-home discharge in women undergoing primary cytoreductive surgery (CRS) for epithelial ovarian cancer (EOC). METHODS:Women undergoing primary CRS via laparotomy for EOC at three tertiary medical centers in an academic health system from January 2010 to December 2015 were included. Patients were excluded if they received neoadjuvant chemotherapy, had a non-epithelial malignancy, were not undergoing primary cytoreduction, or lacked documented model components. Non-home discharge included skilled nursing facility, acute rehabilitation facility, hospice, or inpatient death. The predicted probability of non-home discharge was calculated using age, pre-operative CA-125, American Society of Anesthesiologists (ASA) score and Eastern Cooperative Oncology Group (ECOG) performance status as described in the previously published predictive model. Model discrimination was calculated using a concordance index and calibration curves were plotted to characterize model performance across the cohort. RESULTS:A total of 204 admissions met inclusion criteria. The overall rate of non-home discharge was 12% (95% CI 8-18%). Mean age was 60.8 years (SD 11.0). Median length of stay (LOS) was significantly longer for patients with non-home discharge (8 vs. 5 days, P < 0.001). The predictive model had a concordance index of 0.86 (95% CI 0.76-0.93), which was similar to model performance in the original study (CI 0.88). The model provided accurate predictions across all probabilities (0 to 100%). CONCLUSIONS:Non-home discharge can be accurately predicted using preoperative clinical variables. Use of this validated non-home discharge predictive model may facilitate preoperative patient counseling, early discharge planning, and potentially decrease cost of care.Item Open Access Preoperative predictors of extended hospital length of stay following total knee arthroplasty.(J Arthroplasty, 2015-03) Halawi, Mohamad J; Vovos, Tyler J; Green, Cindy L; Wellman, Samuel S; Attarian, David E; Bolognesi, Michael PThe purpose of this study was to identify the preoperative predictors of hospital length of stay after primary total knee arthroplasty in a patient population reflecting current trends toward shorter hospitalization and using readily obtainable factors that do not require scoring systems. A single-center, multi-surgeon retrospective chart review of two hundred and sixty consecutive patients who underwent primary total knee arthroplasty was performed. The mean length of stay was 3.0 days. Among the different variables studied, increasing comorbidities, lack of adequate assistance at home, and bilateral surgery were the only multivariable significant predictors of longer length of stay. The study was adequately powered for statistical analyses and the concordance index of the multivariable logistic regression model was 0.815.Item Open Access Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.(Scientific reports, 2020-10) Prince, Eric W; Whelan, Ros; Mirsky, David M; Stence, Nicholas; Staulcup, Susan; Klimo, Paul; Anderson, Richard CE; Niazi, Toba N; Grant, Gerald; Souweidane, Mark; Johnston, James M; Jackson, Eric M; Limbrick, David D; Smith, Amy; Drapeau, Annie; Chern, Joshua J; Kilburn, Lindsay; Ginn, Kevin; Naftel, Robert; Dudley, Roy; Tyler-Kabara, Elizabeth; Jallo, George; Handler, Michael H; Jones, Kenneth; Donson, Andrew M; Foreman, Nicholas K; Hankinson, Todd CDeep learning (DL) is a widely applied mathematical modeling technique. Classically, DL models utilize large volumes of training data, which are not available in many healthcare contexts. For patients with brain tumors, non-invasive diagnosis would represent a substantial clinical advance, potentially sparing patients from the risks associated with surgical intervention on the brain. Such an approach will depend upon highly accurate models built using the limited datasets that are available. Herein, we present a novel genetic algorithm (GA) that identifies optimal architecture parameters using feature embeddings from state-of-the-art image classification networks to identify the pediatric brain tumor, adamantinomatous craniopharyngioma (ACP). We optimized classification models for preoperative Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and combined CT and MRI datasets with demonstrated test accuracies of 85.3%, 83.3%, and 87.8%, respectively. Notably, our GA improved baseline model performance by up to 38%. This work advances DL and its applications within healthcare by identifying optimized networks in small-scale data contexts. The proposed system is easily implementable and scalable for non-invasive computer-aided diagnosis, even for uncommon diseases.Item Open Access Selective versus nonselective fusion for idiopathic scoliosis: does lumbosacral takeoff angle change?(Spine, 2011-06) Abel, Mark F; Herndon, Stephanie K; Sauer, Lindsay D; Novicoff, Wendy M; Smith, Justin S; Shaffrey, Christopher I; Spinal Deformity Study GroupStudy design
Retrospective review of a prospective, multicentered database.Objective
To determine the relationship between preoperative lumbosacral takeoff angle (LSTOA) and postoperative thoracolumbar/lumbar Cobb angle (TL/L Cobb angle) in patients undergoing selective thoracic fusionsSummary of background data
Selective fusion of the thoracic curve can improve the lumbar curve inpatients with idiopathic thoracic scoliosis and a compensatory lumbar curve. Predicting improvement is controversial and determining whether to perform a selective fusion or nonselective fusion can be difficult.Methods
Patients had undergone either nonselective or selective spinal fusion for adolescent or juvenile idiopathic scoliosis (Lenke 1B/3B/1C/3C). Outcome measures were: coronal and sagittal thoracic Cobb angle, TL/L Cobb angles, lumbar apical vertebral translation, LSTOA and coronal decompensation. Analyses compared relationships between preoperative and postoperative radiographic measures.Results
Positive, significant correlations were found between preoperative LSTOA and preoperative TL/L Cobb angle in the nonselective (r=0.7; P<0.001) and selective (r=0.5; P<0.001) fusion groups. Mean two-year postoperative coronal TL/L Cobb angles were significantly improved in nonselective and selective fusion groups (32° and 20°, respectively, P<0.001). In the nonselective fusion group, LSTOA significantly decreased by 11° (P<0.001), and in the selective group, the LSTOA had a modest but significant decrease of 2° (P<0.001). The nonselective fusion also resulted in more lordosis between T10 and L2 (7.5° of lordosis) than the selective approach (2.7° kyphosis, P<0.001). For both groups, upper thoracic kyphosis increased after surgery (P<0.001, P<0.001). For nonselective fusions, regression modeling predicted TL/L Cobb angle at two-year follow-up based on preoperative TL/L Cobb angle and preoperative LSTOA (r=0.4, P<0.001).Conclusion
Collectively, these data demonstrate the preoperative TL/L Cobb angle and LSTOA can be useful predictors of postoperative TL/L Cobb angle after a selective instrumented fusion. Analyses of distal fixation levels demonstrated that to appreciably change the LSTOA using a posterior instrumented fusion, the distal level of fixation must be beyond the lumbar apex.Item Open Access The Role of Prefracture Health Status in Physical and Mental Function After Hip Fracture Surgery.(Journal of the American Medical Directors Association, 2018-11) Lim, Ka Keat; Yeo, William; Koh, Joyce SB; Tan, Chuen Seng; Chong, Hwei Chi; Zhang, Karen; Østbye, Truls; Howe, Tet Sen; Matchar, David BruceObjectives
To examine the associations of 3 measures of prefracture health status (physical function, mental function, and comorbidity count) with trajectories of physical and mental function at 1.5, 3, 6, and 12 months after hip fracture surgery.Design
Single-center observational study.Setting
Singapore General Hospital (an acute hospital).Participants
Patients aged ≥60 years who underwent first hip fracture surgery between June 2011 and July 2016 (N = 928).Intervention
None.Measurements
We used data collected prospectively from the hospital's hip fracture registry. We used the Short Form-36 (SF-36) Physical Component Summary (PCS) and Mental Component Summary (MCS) as indicators of physical and mental function, respectively, collected at admission and at 1.5, 3, 6, and 12 months after hip fracture surgery. Comorbidity count at admission was the sum from a list of 10 common diseases associated with poorer physical function.Results
Prefracture physical function and prefracture mental function demonstrated time-varying associations (interaction P < .001 and P = .001, respectively) with postfracture physical function; the associations were small initially but increased in strength up to 6 months and stabilized thereafter. In contrast, the strength of the association between comorbidity count and postfracture physical function were time-invariant (-0.52, P = .027). The strength of the associations between all 3 measures of prefracture health status and postfracture mental function were also constant over time (0.09, P = .004, for physical function; 0.38, P < .001, for mental function; -0.70, P = .034, for comorbidity count).Conclusions/implications
The time-varying associations between prefracture health status and postfracture physical function suggest that even for patients with good prefracture health status, initial recovery may be slow. Our findings can be useful to clinicians and therapists in their prognostic evaluations and in management of patients' expectation for recovery.Item Open Access Uncorrected Tetralogy of Fallot, Biventricular Dysfunction, and a Large Pericardial Effusion.(J Cardiothorac Vasc Anesth, 2015-10) McCartney, Sharon L; Machovec, Kelly; Jooste, Edmund H