7 research outputs found
Ensemble Machine Learning Algorithms for Prediction of Complications after Elective Total Hip Arthroplasty
Toward a causal model of chronic back pain: challenges and opportunities.
Chronic low back pain (cLBP) afflicts 8. 2% of adults in the United States, and is the leading global cause of disability. Neuropsychiatric co-morbidities including anxiety, depression, and substance abuse- are common in cLBP patients. In particular, cLBP is a risk factor for opioid addiction, as more than 50% of opioid prescriptions in the United States are for cLBP. Misuse of these prescriptions is a common precursor to addiction. While associations between cLBP and neuropsychiatric disorders are well established, causal relationships for the most part are unknown. Developing effective treatments for cLBP, and associated co-morbidities, requires identifying and understanding causal relationships. Rigorous methods for causal inference, a process for quantifying causal effects from observational data, have been developed over the past 30 years.
In this review we first discuss the conceptual model of cLBP that current treatments are based on, and how gaps in causal knowledge contribute to poor clinical outcomes. We then present cLBP as a "Big Data" problem and identify how advanced analytic techniques may close knowledge gaps and improve clinical outcomes. We will focus on causal discovery, which is a data-driven method that uses artificial intelligence (AI) and high dimensional datasets to identify causal structures, discussing both constraint-based (PC and Fast Causal Inference) and score-based (Fast Greedy Equivalent Search) algorithms
Spinal fractures and/or spinal cord injuries are associated with orthopedic and internal organ injuries in proximity to the spinal injury
Background: the demographics, mechanisms of injury, and concurrent injuries associated with cervical, thoracic and lumbar spinal fracture and/or spinal cord injury remain poorly characterized. Methods: Patients aged 18 and older with spinal injury between 2011 and 2015 in the National Trauma Data Bank (NTDB) were identified. Patient demographics, comorbidity burden, mechanism of injury, and associated injuries were analyzed. Results: in total, 520,183 patients with acute spinal injury were identified including 216,522 cervical, 191,218 thoracic, and 220,294 lumbar. The age distributions were trimodal with peaks in incidence at around 2155 and a lesser peak around 85 years of age. The number of comorbidities increased while injury severity decreased with advancing patient age. Motor vehicle accidents (MVAs) were the most common mechanism of injury. Associated bony and internal organ injuries were common and occurred in 63% of cervical spine injury patients, 79% of thoracic spine injury patients, and 71% of lumbar spine injury patients. In all three sub-populations, there was a predominance of injuries in the local area of the primary injury. For cervical, these were rib injuries (28%), thoracic spine injuries (22%), skull fractures (20%), intracranial injuries (26%) and lung injuries (21%). For thoracic, these were rib injuries (47%), lumbar spine injuries (26%), cervical spine injuries (25%), lung injuries (35%) and intracranial injuries (24%). For lumbar, these were rib injuries (38%), thoracic spine injuries (22%), pelvic fractures (20%), lung injuries (26%) and intracranial injuries (19%). Multivariate regression analysis demonstrated that increased injury severity was strongly correlated with increased mortality, with lesser contributions from increased age and comorbidity burden. Conclusions: the current study revealed spinal fractures and/or cord injuries had high incidences of associated injuries that had a predominance of local distribution. These findings, in combination with the mortality analysis, demonstrate the importance of local targeted evaluations for associated injuries
Cement Augmentation of Vertebral Compression Fractures May Be Safely Considered in the Very Elderly
Objective The objective of the current study was to perform a retrospective review of a national database to assess the safety of cement augmentation for vertebral compression fractures in geriatric populations in varying age categories. Methods The 2005–2016 National Surgical Quality Improvement Program databases were queried to identify patients undergoing kyphoplasty or vertebroplasty in the following age categories: 60–69, 70–79, 80–89, and 90+ years old. Demographic variables, comorbidity status, procedure type, provider specialty, inpatient/outpatient status, number of procedure levels, and periprocedure complications were compared between age categories using chi-square analysis. Multivariate logistic regressions controlling for patient and procedural variables were then performed to assess the relative periprocedure risks of adverse outcomes of patients in the different age categories relative to those who were 60–69 years old. Results For the 60–69, 70–79, 80–89, and 90+ years old cohorts, 486, 822, 937, and 215 patients were identified, respectively. After controlling for patient and procedural variables, 30-day any adverse events, serious adverse events, reoperation, readmission, and mortality were not different for the respective age categories. Cases in the 80- to 89-year-old cohort were at increased risk of minor adverse events compared to cases in the 60- to 69-year-old cohort. Conclusion As the population ages, cement augmentation is being considered as a treatment for vertebral compression fractures in increasingly older patients. These results suggest that even the very elderly may be appropriately considered for these procedures (level of evidence: 3)
The cost of complications following major resection of malignant neoplasia
Background: Rising healthcare costs have led to increased focus on the need to achieve a higher value of care. As value-maximization efforts expand to include more complex surgical patients, evidence to support meaningful implementation of complication-based initiatives is lacking. The objective of this study was to compare incremental costs of complications following major gastrointestinal (GI) resections for organ-specific malignant neoplasia using nationally representative data. Methods: National (Nationwide) Inpatient Sample data, 2001-2014, were queried for adult (≥ 18 years) patients undergoing major resections for malignant neoplasia. Based on system-based complications considered relevant to the long-term treatment of GI disease, stratified differences in risk-adjusted incremental hospital costs and complication probabilities were compared. Differences in surgical outcomes and costs over time were also assessed. Results: A total of 293,967 patients were included, weighted to represent 1,408,117 patients nationwide. One fourth (26.1%; 95% CI, 25.7-26.4%) experienced ≥ 1 pre-discharge complication (range, 45.3% esophagectomy to 24.0% rectal resection). Resultant annual risk-adjusted incremental hospital costs totaled 20,900 per patient). Costs varied substantially with both cancer/resection type and complication group, ranging from 0.2 million for rectal resections with urinary complications. For each resection type, infectious (85.5 million), and pulmonary ($77.9 million) complications were among the most significant drivers of increased hospital cost. Conclusions: Quantifying and comparing the impact of complications on an indication-specific level in more complex patients offers an important step toward allowing providers/payers to meaningfully prioritize the design of novel and adaptation of existing value-maximization approache
Postoperative bracing practices after elective lumbar spine surgery: A questionnaire study of U.S. spine surgeons
Background: There is limited data available on the use of orthoses across varying elective spine surgeries. When previously studied in 2009, inconsistent lumbar postoperative bracing practices were reported. The present study aimed to provide a ten-year update regarding postoperative bracing practices after elective lumbar surgery among United States (U.S.) spine surgeons. Methods: A questionnaire was distributed to attendees of the Lumbar Spine Research Society Annual Meeting (April 2019). The questionnaire collected demographic information, and asked surgeons to identify if they used orthoses postoperatively after ten elective lumbar surgeries. Information regarding type of brace, duration of use, and reason for bracing was also collected. Chi-square tests and one-way analysis of variance (ANOVA) were used for comparisons. Results: Seventy-three of 88 U.S. attending surgeons completed the questionnaire (response rate: 83%). The majority of respondents were orthopaedic surgery-trained (78%), fellowship-trained (84%), and academic surgeons (73%). The majority of respondents (60%) did not use orthoses after any lumbar surgery. Among the surgeons who braced, the overall bracing frequency was 26%. This rate was significantly lower than that reported in the literature ten years earlier (p<0.0001). Respondents tended to use orthoses most often after stand-alone lateral interbody fusions (43%) (p<0.0001). The average bracing frequency after lumbar fusions (34%) was higher than the average bracing frequency after non-fusion surgeries (16%) (p<0.0001). The most frequently utilized brace was an off the shelf lumbar sacral orthosis (66%), and most surgeons braced patients to improve pain (42%). Of surgeons who braced, most commonly did so for 2–4 months (57%). Conclusion: Most surgeon respondents did not prescribe orthoses after varying elective lumbar surgeries, and the frequency overall was lower than a similar study conducted in 2009. There continues to be inconsistencies in postoperative bracing practices. In an era striving for evidence-based practices, this is an area needing more attention