| Literature DB >> 28323878 |
Qingqing Ren1, Min He1, Yunhui Zeng1, Zhiyong Liu1, Hao Liu1, Jianguo Xu1.
Abstract
BACKGROUND: The management of intracranial arteriovenous malformations(AVMs) poses challenges to the cerebrovascular specialists.Entities:
Mesh:
Year: 2017 PMID: 28323878 PMCID: PMC5360342 DOI: 10.1371/journal.pone.0174325
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics of all patients.
| Parameters | Variable | Patients No. (%) |
|---|---|---|
| Sex | Male | 285(64.0) |
| Female | 160(36.0) | |
| Age | Mean: 32(±16.0) years | |
| Range: 1–78 years | ||
| Presentation | Hemorrhage | 298(67.0) |
| Seizure | 63(14.2) | |
| Headache | 82(18.4) | |
| Incidental | 39(8.8) | |
| Location | Lobar | 320(71.9) |
| Deep supratentorial | 67(15.1) | |
| Cerebellar | 58(13.0) |
Points of variables according to Spetzler-Martin grading scale and supplementary Spetzler-Martin grading scale.
| Variables | Spetzler-Martin Grading | Supplementary Spetzler-Martin Grading |
|---|---|---|
| Size, cm | ||
| <3 | 1 | 1 |
| 3–6 | 2 | 2 |
| >6 | 3 | 3 |
| Venous drainage | ||
| Superficial | 0 | 0 |
| Deep | 1 | 1 |
| Eloquence | ||
| No | 0 | 0 |
| Yes | 1 | 1 |
| Age, y | ||
| <20 | 1 | |
| 20–40 | 2 | |
| >40 | 3 | |
| Bleeding | ||
| Yes | 0 | |
| No | 1 | |
| Compactness | ||
| Yes | 0 | |
| No | 1 | |
| Total | 5 | 10 |
Characteristics of arteriovenous malformations according to Spetzler-Martin grading scale and supplementary grading scale.
| Variable | Patients No. (%) |
|---|---|
| AVM diameter | |
| <3cm | 236(53.0) |
| 3-6cm | 155(34.8) |
| >6cm | 54(12.1) |
| Venous drainage | |
| superficial | 259(58.2) |
| deep | 186(41.8) |
| Eloquence | |
| non-eloquent | 239(53.7) |
| eloquent | 206(46.3) |
| SM grade | |
| I | 83(18.6) |
| II | 156(35.1) |
| III | 132(29.7) |
| IV | 61(13.7) |
| V | 13(2.9) |
| Age(Years) | |
| <20 | 107(24.1) |
| 20–40 | 207(46.5) |
| >40 | 131(29.4) |
| Unruptured presentation | |
| Yes | 147(33.0) |
| No | 298(67.0) |
| Diffuse | |
| Yes | 99(22.2) |
| No | 346(77.8) |
| SM-Supp grade | |
| 2 | 11(2.5) |
| 3 | 34(7.6) |
| 4 | 123(27.6) |
| 5 | 130(29.2) |
| 6 | 69(15.5) |
| 7 | 52(11.7) |
| 8 | 20(4.5) |
| 9 | 4(0.9) |
| 10 | 2(0.5) |
Univariable logistic regression analysis.
| Variable | OR | 95% CI | P value | |
|---|---|---|---|---|
| Size | 1.58 | 1.39 | 1.80 | 0.000 |
| Drainage | 2.68 | 1.69 | 4.21 | 0.000 |
| Eloquence | 1.31 | 0.84 | 2.04 | 0.235 |
| Age | 1.08 | 1.06 | 1.10 | 0.000 |
| Unrupture | 1.30 | 0.82 | 2.06 | 0.265 |
| Diffuse | 2.04 | 1.25 | 3.35 | 0.005 |
OR, odds ratio; CI, confidence interval
Multivariable logistic regression analysis.
| Variable | OR | 95% CI | P value | |
|---|---|---|---|---|
| Size | 0.93 | 0.77 | 1.12 | 0.417 |
| Drainage | 2.47 | 1.41 | 4.33 | 0.002 |
| Eloquence | 7.34 | 3.48 | 15.50 | 0.000 |
| Age | 1.12 | 1.09 | 1.15 | 0.000 |
| Unrupture | 2.35 | 1.20 | 4.60 | 0.013 |
| Diffuse | 4.27 | 2.13 | 8.56 | 0.000 |
OR, odds ratio; CI, confidence interval
Fig 1Graph showing receiver-operating characteristic analyses for the Spetzler-Martin grading system and the supplemented grading system.
Graph showing receiver operating characteristic (ROC) analyses for the weighted point scores of the Spetzler-Martin grading system (green curve), and the supplementary grading system (red curve) (reference line shown in teal). The predictive accuracy of Spetzler-Martin score was similar to supplementary grade (ROC areas, 0.726 and 0.734, respectively, P = .715).