Ryan Planchard, Daniel Lubelski, Jeff Ehresman, and Daniel Sciubba
Zach Pennington, Ethan Cottrill, Daniel Lubelski, Jeff Ehresman, Nicholas Theodore, and Daniel M. Sciubba
Spine surgery has been identified as a significant source of healthcare expenditures in the United States. Prolonged hospitalization has been cited as one source of increased spending, and there has been drive from providers and payors alike to decrease inpatient stays. One strategy currently being explored is the use of Enhanced Recovery After Surgery (ERAS) protocols. Here, the authors review the literature on adult spine ERAS protocols, focusing on clinical benefits and cost reductions. They also conducted a quantitative meta-analysis examining the following: 1) length of stay (LOS), 2) complication rate, 3) wound infection rate, 4) 30-day readmission rate, and 5) 30-day reoperation rate.
Using the PRISMA guidelines, a search of the PubMed/Medline, Web of Science, Cochrane Reviews, Embase, CINAHL, and OVID Medline databases was conducted to identify all full-text articles in the English-language literature describing ERAS protocol implementation for adult spine surgery. A quantitative meta-analysis using random-effects modeling was performed for the identified clinical outcomes using studies that directly compared ERAS protocols with conventional care.
Of 950 articles reviewed, 34 were included in the qualitative analysis and 20 were included in the quantitative analysis. The most common protocol types were general spine surgery protocols and protocols for lumbar spine surgery patients. The most frequently cited benefits of ERAS protocols were shorter LOS (n = 12), lower postoperative pain scores (n = 6), and decreased complication rates (n = 4). The meta-analysis demonstrated shorter LOS for the general spine surgery (mean difference −1.22 days [95% CI −1.98 to −0.47]) and lumbar spine ERAS protocols (−1.53 days [95% CI −2.89 to −0.16]). Neither general nor lumbar spine protocols led to a significant difference in complication rates. Insufficient data existed to perform a meta-analysis of the differences in costs or postoperative narcotic use.
Present data suggest that ERAS protocol implementation may reduce hospitalization time among adult spine surgery patients and may lead to reductions in complication rates when applied to specific populations. To generate high-quality evidence capable of supporting practice guidelines, though, additional controlled trials are necessary to validate these early findings in larger populations.
Joshua Materi, David Mampre, Jeff Ehresman, Jordina Rincon-Torroella, and Kaisorn L. Chaichana
The extent of resection has been shown to improve outcomes in patients with meningiomas. However, resection can be complicated by constraining local anatomy, leading to subtotal resections. An understanding of the natural history of residual tumors is necessary to better guide postsurgical management and minimize recurrence. This study seeks to identify predictors of recurrence and high growth rate following subtotal resection of intracranial meningiomas.
Adult patients who underwent primary surgical resection of a WHO grade I meningioma at a tertiary care institution from 2007–2017 were retrospectively reviewed. Volumetric tumor measurements were made on patients with subtotal resections. Stepwise multivariate proportional hazards regression analyses were performed to identify factors associated with time to recurrence, as well as stepwise multivariate regression analyses to assess for factors associated with high postoperative growth rate.
Of the 141 patients (18%) who underwent radiographic subtotal resection of an intracranial meningioma during the reviewed period, 74 (52%) suffered a recurrence, in which the median (interquartile range, IQR) time to recurrence was 14 (IQR 6–34) months. Among those tumors subtotally resected, the median pre- and postoperative tumor volumes were 17.19 cm3 (IQR 7.47–38.43 cm3) and 2.31 cm3 (IQR 0.98–5.16 cm3), which corresponded to a percentage resection of 82% (IQR 68%–93%). Postoperatively, the median growth rate was 0.09 cm3/year (IQR 0–1.39 cm3/year). Factors associated with recurrence in multivariate analysis included preoperative tumor volume (hazard ratio [HR] 1.008,95% confidence interval [CI] 1.002–1.013, p = 0.008), falcine location (HR 2.215, 95% CI 1.179–4.161, p = 0.021), tentorial location (HR 2.410, 95% CI 1.203–4.829, p = 0.024), and African American race (HR 1.811, 95% CI 1.042–3.146, p = 0.044). Residual volume (RV) was associated with high absolute annual growth rate (odds ratio [OR] 1.175, 95% CI 1.078–1.280, p < 0.0001), with the maximum RV benefit at < 5 cm3 (OR 4.056, 95% CI 1.675–9.822, p = 0.002).
By identifying predictors of recurrence and growth rate, this study helps identify potential patients with a high chance of recurrence following subtotal resection, which are those with large preoperative tumor volume, falcine location, tentorial location, and African American race. Higher RVs were associated with tumors with higher postoperative growth rates. Recurrences typically occurred 14 months after surgery.
Jeff Ehresman, Zach Pennington, James Feghali, Andrew Schilling, Andrew Hersh, Bethany Hung, Daniel Lubelski, and Daniel M. Sciubba
More than 8000 patients are treated annually for vertebral column tumors, of whom roughly two-thirds will be discharged to an inpatient facility (nonroutine discharge). Nonroutine discharge is associated with increased care costs as well as delays in discharge and poorer patient outcomes. In this study, the authors sought to develop a prediction model of nonroutine discharge in the population of vertebral column tumor patients.
Patients treated for primary or metastatic vertebral column tumors at a single comprehensive cancer center were identified for inclusion. Data were gathered regarding surgical procedure, patient demographics, insurance status, and medical comorbidities. Frailty was assessed using the modified 5-item Frailty Index (mFI-5) and medical complexity was assessed using the modified Charlson Comorbidity Index (mCCI). Multivariable logistic regression was used to identify independent predictors of nonroutine discharge, and multivariable linear regression was used to identify predictors of prolonged length of stay (LOS). The discharge model was internally validated using 1000 bootstrapped samples.
The authors identified 350 patients (mean age 57.0 ± 13.6 years, 53.1% male, and 67.1% treated for metastatic vs primary disease). Significant predictors of prolonged LOS included higher mCCI score (β = 0.74; p = 0.026), higher serum absolute neutrophil count (β = 0.35; p = 0.001), lower hematocrit (β = −0.34; p = 0.001), use of a staged operation (β = 4.99; p < 0.001), occurrence of postoperative pulmonary embolism (β = 3.93; p = 0.004), and surgical site infection (β = 9.93; p < 0.001). Significant predictors of nonroutine discharge included emergency admission (OR 3.09; p = 0.001), higher mFI-5 score (OR 1.90; p = 0.001), lower serum albumin level (OR 0.43 per g/dL; p < 0.001), and operations with multiple stages (OR 4.10; p < 0.001). The resulting statistical model was deployed as a web-based calculator (https://jhuspine4.shinyapps.io/Nonroutine_Discharge_Tumor/).
The authors found that nonroutine discharge of patients with surgically treated vertebral column tumors was predicted by emergency admission, increased frailty, lower serum albumin level, and staged surgical procedures. The resulting web-based calculator tool may be useful clinically to aid in discharge planning for spinal oncology patients by preoperatively identifying patients likely to require placement in an inpatient facility postoperatively.
James Feghali, Zach Pennington, Jeff Ehresman, Daniel Lubelski, Ethan Cottrill, A. Karim Ahmed, Andrew Schilling, and Daniel M. Sciubba
Symptomatic spinal metastasis occurs in around 10% of all cancer patients, 5%–10% of whom will require operative management. While postoperative survival has been extensively evaluated, postoperative health-related quality-of-life (HRQOL) outcomes have remained relatively understudied. Available tools that measure HRQOL are heterogeneous and may emphasize different aspects of HRQOL. The authors of this paper recommend the use of the EQ-5D and Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ), given their extensive validation, to capture the QOL effects of systemic disease and spine metastases. Recent studies have identified preoperative QOL, baseline functional status, and neurological function as potential predictors of postoperative QOL outcomes, but heterogeneity across studies limits the ability to derive meaningful conclusions from the data. Future development of a valid and reliable prognostic model will likely require the application of a standardized protocol in the context of a multicenter study design.
Zach Pennington, Ethan Cottrill, Daniel Lubelski, Jeff Ehresman, Kurt Lehner, Mari L. Groves, Paul Sponseller, and Daniel M. Sciubba
More than 7500 children undergo surgery for scoliosis each year, at an estimated annual cost to the health system of $1.1 billion. There is significant interest among patients, parents, providers, and payors in identifying methods for delivering quality outcomes at lower costs. Enhanced recovery after surgery (ERAS) protocols have been suggested as one possible solution. Here the authors conducted a systematic review of the literature describing the clinical and economic benefits of ERAS protocols in pediatric spinal deformity surgery.
The authors identified all English-language articles on ERAS protocol use in pediatric spinal deformity surgery by using the following databases: PubMed/MEDLINE, Web of Science, Cochrane Reviews, EMBASE, CINAHL, and OVID MEDLINE. Quantitative analyses of comparative articles using random effects were performed for the following clinical outcomes: 1) length of stay (LOS); 2) complication rate; 3) wound infection rate; 4) 30-day readmission rate; 5) reoperation rate; and 6) postoperative pain scores.
Of 950 articles reviewed, 7 were included in the qualitative analysis and 6 were included in the quantitative analysis. The most frequently cited benefits of ERAS protocols were shorter LOS, earlier urinary catheter removal, and earlier discontinuation of patient-controlled analgesia pumps. Quantitative analyses showed ERAS protocols to be associated with shorter LOS (mean difference −1.12 days; 95% CI −1.51, −0.74; p < 0.001), fewer postoperative complications (OR 0.37; 95% CI 0.20, 0.68; p = 0.001), and lower pain scores on postoperative day (POD) 0 (mean −0.92; 95% CI −1.29, −0.56; p < 0.001) and POD 2 (−0.61; 95% CI −0.75, −0.47; p < 0.001). There were no differences in reoperation rate or POD 1 pain scores. ERAS-treated patients had a trend toward higher 30-day readmission rates and earlier discontinuation of patient-controlled analgesia (both p = 0.06). Insufficient data existed to reach a conclusion about cost differences.
The results of this systematic review suggest that ERAS protocols may shorten hospitalizations, reduce postoperative complication rates, and reduce postoperative pain scores in children undergoing scoliosis surgery. Publication biases exist, and therefore larger, prospective, multicenter data are needed to validate these results.
Zach Pennington, Jeff Ehresman, Ethan Cottrill, Daniel Lubelski, Kurt Lehner, James Feghali, A. Karim Ahmed, Andrew Schilling, and Daniel M. Sciubba
Accurate prediction of patient survival is an essential component of the preoperative evaluation of patients with spinal metastases. Over the past quarter of a century, a number of predictors have been developed, although none have been accurate enough to be instituted as a staple of clinical practice. However, recently more comprehensive survival calculators have been published that make use of larger data sets and machine learning to predict postoperative survival among patients with spine metastases. Given the glut of calculators that have been published, the authors sought to perform a narrative review of the current literature, highlighting existing calculators along with the strengths and weaknesses of each. In doing so, they identify two “generations” of scoring systems—a first generation based on a priori factor weighting and a second generation comprising predictive tools that are developed using advanced statistical modeling and are focused on clinical deployment. In spite of recent advances, the authors found that most predictors have only a moderate ability to explain variation in patient survival. Second-generation models have a greater prognostic accuracy relative to first-generation scoring systems, but most still require external validation. Given this, it seems that there are two outstanding goals for these survival predictors, foremost being external validation of current calculators in multicenter prospective cohorts, as the majority have been developed from, and internally validated within, the same single-institution data sets. Lastly, current predictors should be modified to incorporate advances in targeted systemic therapy and radiotherapy, which have been heretofore largely ignored.
Jeff Ehresman, Andrew Schilling, Zach Pennington, Chengcheng Gui, Xuguang Chen, Daniel Lubelski, A. Karim Ahmed, Ethan Cottrill, Majid Khan, Kristin J. Redmond, and Daniel M. Sciubba
Vertebral compression fractures (VCFs) in patients with spinal metastasis can lead to destabilization and often carry a high risk profile. It is therefore important to have tools that enable providers to predict the occurrence of new VCFs. The most widely used tool for bone quality assessment, dual-energy x-ray absorptiometry (DXA), is not often available at a patient’s initial presentation and has limited sensitivity. While the Spinal Instability Neoplastic Score (SINS) has been associated with VCFs, it does not take patients’ baseline bone quality into consideration. To address this, the authors sought to develop an MRI-based scoring system to estimate trabecular vertebral bone quality (VBQ) and to assess this system’s ability to predict the occurrence of new VCFs in patients with spinal metastasis.
Cases of adult patients with a diagnosis of spinal metastasis, who had undergone stereotactic body radiation therapy (SBRT) to the spine or neurosurgical intervention at a single institution between 2012 and 2019, were retrospectively reviewed. The novel VBQ score was calculated for each patient by dividing the median signal intensity of the L1–4 vertebral bodies by the signal intensity of cerebrospinal fluid (CSF). Multivariable logistic regression analysis was used to identify associations of demographic, clinical, and radiological data with new VCFs.
Among the 105 patients included in this study, 56 patients received a diagnosis of a new VCF and 49 did not. On univariable analysis, the factors associated with new VCFs were smoking status, steroid use longer than 3 months, the SINS, and the novel scoring system—the VBQ score. On multivariable analysis, only the SINS and VBQ score were significant predictors of new VCFs and, when combined, had a predictive accuracy of 89%.
As a measure of bone quality, the novel VBQ score significantly predicted the occurrence of new VCFs in patients with spinal metastases independent of the SINS. This suggests that baseline bone quality is a crucial factor that requires assessment when evaluating these patients’ conditions and that the VBQ score is a novel and simple MRI-based measure to accomplish this.