Back

A proposed grading system for spinal cord arteriovenous shunts

Yu, J.; Lu, H.; Bian, L.; Feng, Y.; Li, J.; Yang, F.; Li, G.; He, C.; Ye, M.; Hu, P.; Sun, L.; Ma, Y.; Ren, J.; Ling, F.; Hong, T.; Zhang, H.

2023-09-01 neurology
10.1101/2023.08.30.23294873 medRxiv
Show abstract

BackgroundThe clinical outcomes of microsurgery for spinal cord arteriovenous shunts (SCAVSs) exhibit fluctuations due to varying patient selection criteria, underscoring the importance of a standardized surgical grading system that can effectively stratify the feasibility of SCAVSs resection. MethodsA cohort of 308 consecutive patients with surgically treated SCAVSs was randomly divided into a modeling group and a validation group. The surgical grading system was developed based on the independent risk factors of incomplete resection identified in the modeling group and subsequently verified in the validation group. The systems specificity and sensitivity were tested through Receiver Operating Characteristic (ROC) analyses. ResultsMultivariate analysis indicated that metameric AVSs (p=0.007), AVSs with maximum length [≥]3 cm (p=0.017), embedded AVSs (p=0.032) and anterior sulcal artery supply (p=0.013) were independent risk factors of incomplete resection. Subsequently, each of the four parameters is assigned one point, and the SCAVSs grade is calculated by aggregating all parameter scores. The area under ROC curve (AUC) of modeling group and validation group was 0.856 (95% confidence interval [95% CI], 0.794-0.919) and 0.819 (95% CI, 0.747-0.892) respectively. Across the entire cohort, patients with scores ranging from 0 to 4 exhibited complete resection rates of 88.7%, 66.7%, 30.6%, 4.5% and 6.3%. The corresponding rates of severe treatment-related deterioration were found to be at levels of 6.0%, 12.0%, 12.9%, 31.8% and 25.0 %, respectively. Conclusion: The proposed grading system effectively stratifies the surgical feasibility of SCAVSs based on both the probability of achieving complete resection and the treatment risk. Its simplicity renders it a valuable tool for clinical decision-making, as well as a reference point for evaluating treatment outcomes across different centers and surgical techniques.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Neurosurgery
11 papers in training set
Top 0.1%
31.4%
2
Stroke: Vascular and Interventional Neurology
14 papers in training set
Top 0.1%
18.7%
50% of probability mass above
3
Journal of the Neurological Sciences
18 papers in training set
Top 0.1%
4.4%
4
PLOS ONE
5266 papers in training set
Top 36%
3.5%
5
Journal of Stroke and Cerebrovascular Diseases
15 papers in training set
Top 0.2%
3.3%
6
Journal of the American Heart Association
140 papers in training set
Top 2%
2.8%
7
Scientific Reports
3612 papers in training set
Top 37%
2.8%
8
Frontiers in Neurology
102 papers in training set
Top 1%
2.7%
9
Journal of Neurology
28 papers in training set
Top 0.4%
1.9%
10
Heliyon
152 papers in training set
Top 4%
1.4%
11
eLife
5828 papers in training set
Top 54%
1.4%
12
European Journal of Neurology
22 papers in training set
Top 0.5%
1.1%
13
Journal of Neurotrauma
31 papers in training set
Top 0.4%
1.1%
14
Annals of Clinical and Translational Neurology
34 papers in training set
Top 0.7%
1.1%
15
Brain Structure and Function
93 papers in training set
Top 1%
1.0%
16
Journal of Neurology, Neurosurgery & Psychiatry
30 papers in training set
Top 0.7%
0.9%
17
Bioengineering
29 papers in training set
Top 1%
0.9%
18
Medicine
31 papers in training set
Top 2%
0.9%
19
Frontiers in Pain Research
11 papers in training set
Top 0.3%
0.9%
20
Neurocritical Care
12 papers in training set
Top 0.3%
0.9%
21
Pediatric Neurology
11 papers in training set
Top 0.2%
0.6%
22
Cureus
68 papers in training set
Top 5%
0.6%
23
Human Vaccines & Immunotherapeutics
25 papers in training set
Top 0.6%
0.6%
24
Neurology
50 papers in training set
Top 2%
0.6%
25
Muscle & Nerve
10 papers in training set
Top 0.4%
0.6%
26
Stroke
40 papers in training set
Top 0.9%
0.6%
27
BMC Neurology
14 papers in training set
Top 0.9%
0.6%