scholarly journals The performance of frailty in predictive modeling of short-term outcomes in the surgical management of metastatic tumors to the spine

Author(s):  
Joshua Bakhsheshian ◽  
Shane Shahrestani ◽  
Zorica Buser ◽  
Raymond Hah ◽  
Patrick C. Hsieh ◽  
...  
2021 ◽  
Vol 21 (9) ◽  
pp. S152-S153
Author(s):  
Shane Shahrestani ◽  
Joshua Bakhsheshian ◽  
Zorica Buser ◽  
Raymond J. Hah ◽  
Patrick C. Hsieh ◽  
...  

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
M A Mostafa ◽  
S I Azmy ◽  
M A Ahmad

Abstract Metastatic tumors are the commonest Tumors of the bone. Wide variety of surgical modalities are available for management of bone metastasis. This review describes functional improvement, pain control, and survival after surgical management of the bone metastasis. Surgical management is found to lead to better pain control and functional improvement, with comparable results of survival rate with other reviews like ours.


Neurosurgery ◽  
2017 ◽  
Vol 82 (5) ◽  
pp. 701-709 ◽  
Author(s):  
Kavelin Rumalla ◽  
Chester K Yarbrough ◽  
Andrew J Pugely ◽  
Ian G Dorward

AbstractBACKGROUNDCurrent surgical management guidelines for pediatric spondylolisthesis (PS) are reliant on data from single-center cohorts.OBJECTIVETo analyze national trends and predictors of short-term outcomes in spinal fusion surgery for PS by performing a retrospective cross-sectional analysis of the Kids’ Inpatient Database (KID).METHODSThe KID (sampled every 3 yr) was queried from 2003 to 2012 to identify all cases (age 5-17) of spinal fusion for PS (n = 2646). We analyzed trends in patient characteristics, surgical management, and short-term outcomes. Both univariate and multivariable analyses were utilized.RESULTSThe 2646 spinal fusions for PS included posterior-only fusions (86.8%, PSF), anterior lumbar interbody fusions (4.8%, ALIF), and combined anterior and posterior fusions (8.4%, APLF) procedures. The utilization of APLF decreased over time (9.9%-6.4%, P = .023), whereas the number of total spinal fusions and the proportion of PSF and ALIF procedures have not changed significantly. Uptrends in Medicaid insured individuals (1.2%-18.9%), recombinant human bone morphogenetic protein-2 insertion (8.8%-16.6%), decompression (34.7%-42.8%), and mean inflation-adjusted hospital costs ($21 855-$32 085) were identified (all P < .001). In multivariable analysis, Medicaid status (odds ratio [OR] = 1.93, P = .004), teaching hospitals (OR = 1.94, P = .01), decompression (OR = 1.78, P = .004), and the APLF procedure (OR = 2.47, P = .001) increased the likelihood of complication occurrence (all P < .001).CONCLUSIONThe addition of decompression during fusion and the APLF procedure were associated with more in-hospital complications, though this may have been indicative of greater surgical complexity. The utilization of the APLF procedure has decreased significantly, while costs associated with the treatment of PS have increased over time.


2012 ◽  
Vol 127 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Ivan Rusyn ◽  
Alexander Sedykh ◽  
Yen Low ◽  
Kathryn Z. Guyton ◽  
Alexander Tropsha

2019 ◽  
Vol 34 (Supplement_1) ◽  
pp. S26-S34
Author(s):  
Sveta Milusheva

Abstract Short-term human mobility has important health consequences, but measuring short-term movement using survey data is difficult and costly, and use of mobile phone data to study short-term movement is only possible in locations that can access the data. Combining several accessible data sources, Senegal is used as a case study to predict short-term movement within the country. The focus is on two main drivers of movement—economic and social—which explain almost 70 percent of the variation in short-term movement. Comparing real and predicted short-term movement to measure the impact of population movement on the spread of malaria in Senegal, the predictions generated by the model provide estimates for the effect that are not significantly different from the estimates using the real data. Given that the data used in this paper are often accessible in other country settings, this paper demonstrates how predictive modeling can be used by policy makers to estimate short-term mobility.


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