Development and validation of a simplified thoracolumbar spine fracture classification system

Spinal Cord ◽  
2021 ◽  
Author(s):  
Harvinder Singh Chhabra ◽  
P K Karthik Yelamarthy ◽  
Srinivasan Narayan Moolya ◽  
Hans Josef Erli ◽  
Francois Theron ◽  
...  
Author(s):  
Julio Urrutia ◽  
Arturo Meissner-Haecker ◽  
Nelson Astur ◽  
Manuel Valencia ◽  
Ratko Yurac ◽  
...  

2017 ◽  
Vol 16 (1) ◽  
pp. 52-55
Author(s):  
TOBIAS LUDWIG DO NASCIMENTO ◽  
LUIZ PEDRO WILLIMANN ROGÉRIO ◽  
MARCELO MARTINS DOS REIS ◽  
LEANDRO PELEGRINI DE ALMEIDA ◽  
GUILHERME FINGER ◽  
...  

ABSTRACT Objective: To describe the epidemiology of patients with thoracolumbar spine fracture submitted to surgery at Hospital Cristo Redentor and the related costs. Methods: Prospective epidemiological study between July 2014 and August 2015 of patients with thoracolumbar spine fracture with indication of surgery. The variables analyzed were sex, age, cost of hospitalization, fractured levels, levels of arthrodesis, surgical site infection, UTI or BCP, spinal cord injury, etiology, length of stay, procedure time, and visual analog scale (VAS) . Results: Thirty-two patients were evaluated in the study period, with a mean age of 38.68 years. Male-female ratio was 4:1 and the most frequent causes were fall from height (46.87%) and traffic accidents (46.87%). The thoracolumbar transition was the most affected (40.62%), with L1 vertebra involved in 23.8% of the time. Neurological deficit was present in 40.62% of patients. Hospital stay had a median of 14 days and patients with neurological deficit were hospitalized for a longer period (p<0.001), with an increase in hospital costs (p= 0.015). The average cost of hospitalization was U$2,874.80. The presence of BCP increased the cost of hospitalization, and patients with spinal cord injury had more BCP (p= 0.014) . Conclusion: Public policies with an emphasis on reducing traffic accidents and falls can help reduce the incidence of these injuries and studies focusing on hospital costs and rehabilitation need to be conducted in Brazil to determinate the burden of spinal trauma and spinal cord injury.


2014 ◽  
Vol 23 (2) ◽  
pp. 189-196 ◽  
Author(s):  
Laurent Audigé ◽  
James F. Kellam ◽  
Simon Lambert ◽  
Jan Erik Madsen ◽  
Reto Babst ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21563-e21563
Author(s):  
Anthony Tuan Nguyen ◽  
Michael Luu ◽  
Vina Nguyen ◽  
Omid Hamid ◽  
Mark B. Faries ◽  
...  

e21563 Background: Given recent therapeutic advances and evolving patterns of lymph node (LN) evaluation for cutaneous melanoma, accurate and precise LN staging is needed to guide adjuvant treatment and future investigations. Current staging was developed primarily for patients undergoing completion LN dissection (CLND) for node-positive disease and do not produce LN classification groups with continuously increasing mortality. Thus, we developed and validated an improved LN classification system for cutaneous melanoma. Methods: Retrospective cohort analysis of 105,785 patients with cutaneous melanoma who underwent surgery from 2004 to 2015 in the National Cancer Database. Extent of LN dissection (sentinel LN biopsy [SLNB] and/or CLND) was available for patients diagnosed 2012 onward. Multivariable models were generated with number of positive LNs modeled using a non-linear restricted cubic spline function. Recursive partitioning analysis (RPA) was used to derive a modified LN classification system based on LN variables independently associated with overall survival (OS). The proposed LN classification system was validated in 85,499 patients from SEER-18. Results: Number of positive LNs (1-2 LN+: hazard ratio [HR] 2.48 per LN, 95% CI, 2.37-2.61, P< 0.001; ≥3 LN+: HR 1.10 per LN, 95% CI, 1.07-1.13, P< 0.001), clinically detected metastases (HR 1.35, 95% CI 1.27-1.42; P< 0.001), and in-transit metastases (HR 1.48; 95% CI 1.34-1.65; P< 0.001) were associated with OS. An RPA-derived LN classification system using these variables demonstrated continuously increasing mortality risk for each proposed LN classification group (HR: 1.83, 2.72, 3.79, 4.56, 6.15, and 8.25 for the proposed N1a-N3b groups, Table, P< 0.001). By contrast, AJCC 8E produced a more haphazard mortality profile (HR: 1.83, 3.81, 2.59, 2.71, 4.51, 3.44, 6.06, 8.15, and 6.90 for N1a-N3c). As a sensitivity analysis, the proposed system continued to accurately predict outcomes when we excluded patients undergoing CLND for microscopic LN metastases. Lastly, we validated this system for OS and cause-specific mortality in SEER-18 ( P< 0.001). Conclusions: A modified and simplified LN classification system can accurately predict mortality in cutaneous melanoma in an era of increasing use of SLNB without CLND and should be considered for future staging systems.[Table: see text]


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