| Literature DB >> 25901610 |
Guohua Hu1, Bin Chen1, Weiguo Fu1, Xin Xu1, Daqiao Guo1, Junhao Jiang1, Jue Yang1, Yuqi Wang1.
Abstract
PURPOSE: To investigate the predictors and treatment of the 6-Fr Perclose Proglide-related complications (PRC) in percutaneous endovascular aortic repair (pEVAR).Entities:
Mesh:
Year: 2015 PMID: 25901610 PMCID: PMC4406497 DOI: 10.1371/journal.pone.0123739
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1The Flowchart of this study.
The flowchart depicts the inclusion and the exclusion of the study population in this study and the occurrence of Perclose Proglide-related complications.
Demographics characteristic of the Patients.
| Variables | N | % |
|---|---|---|
| Age (year) | 62.2±13.0 | |
| Gender | ||
| Men | 160 | 80 |
| Women | 38 | 20 |
| BMI (kg/m2) | 27.2±5.3 | |
| Hypertension | 142 | 71.7 |
| DM | 54 | 27.3 |
| CAD | 63 | 31.8 |
| Smoking | 96 | 48.5 |
| Stent cover site | ||
| Thoracic | 121 | 61.1 |
| Abdominal | 77 | 38.9 |
| Etiology | ||
| AD | 96 | 48.5 |
| AA | 90 | 45.5 |
| IA | 4 | 2 |
| Endoleak | 8 | 4 |
| CFA depth | 3.2±2.0 | |
| CFA calcification | 70 | 35.4 |
Continuous data are presented as the mean±standard deviation; categorical data are given as counts (percentage). DM:Diabetes mellitus; CAD: coronary artery disease; AD: Aortic dissection; AA: Aortic aneurysm; IA: Iliac aneurysm; CFA:common femoral artery.
a:Endoleak following previously thoracic EVAR
b: Data from the CTA image measurement of the patients before the operation.
Fig 2The PRC incidence and date.
Simple linear regression analysis is performed to demonstrate the decline tendency of PRC incidence.
Perclose Proglide related complications and treatments during pEVAR.
| Complications (n) | Treatments (n) | ||
|---|---|---|---|
| Compression | Cut-down | Another device | |
| Vascular complications (10) | 4 | 5 | 1 |
| Bleeding (6) | 4 | 1 | 1 |
| Minor bleeding (5) | 4 | 1 | |
| Major bleeding (1) | 1 | ||
| Dissection (1) | 1 | ||
| Stenosis or stricture (3) | 3 | ||
| Device failures (10) | 3 | 0 | 7 |
| Failure to preload sutures (3) | 3 | ||
| Suture rupture or tearing out (2) | 1 | 1 | |
| Insufficient to tighten knots (5) | 2 | 3 | |
Fig 3Open surgery at the access site.
This series of photographs illustrates the twist shape of CFA when we converted to open surgery. The anterior and posterior artery walls were sutured together, and the CFA was occluded (a). The suture knot was located in the lumina (b).
Factors associated with PRC.
| Variables | PRC (n = 20) | Success (N = 178) |
|
|---|---|---|---|
| Age (year) | 65.5±10.2 | 61.8±13.3 | 0.2406 |
| Gender (man) | 13(65%) | 147(82.6%) | 0.1110 |
| BMI (kg/m2) | 29.5±5.5 | 27.0±5.2 | 0.0410 |
| Hypertension | 15(75%) | 127(71.3%) | 0.7310 |
| DM | 6(30%) | 48(27.0%) | 0.7727 |
| CAD | 3(15%) | 60(33.7%) | 0.0885 |
| Smoking | 13(65%) | 83(46.6%) | 0.1191 |
| Stent cover site (Thoracic) | 13(65%) | 64(36.0%) | 0.0115 |
| Etiology (AD) | 7(35%) | 89(50%) | 0.2031 |
| CFA depth (cm) | 4.1±2.3 | 3.0±1.9 | 0.0227 |
| CFA calcification | 14(70%) | 56(31.4%) | 0.0006 |
| Sheath size (>20Fr) | 6 (40%) | 17(7.9%) | 0.0001 |
† Indicates continuous data were analyzed using the Student's t test, other categorical data using the Pearson Chi-square test.
Logistic regression analysis of preoperative classified variables for PRC.
| Variables | Univariate | Multivariate | ||||
|---|---|---|---|---|---|---|
|
|
| OR | 95% CI | |||
| BMI | >30kg/m2 | 11/60 | 0.011 | 0.021 | 4.020 | 1.228–13.156 |
| ≤30kg/m2 | 9/138 | |||||
| CFA depth | >4cm | 9/47 | 0.038 | 0.001 | 8.138 | 2.353–28.148 |
| ≤4cm | 11/151 | |||||
| Stent cover site | Thoracic | 13/77 | 0.021 | 0.038 | 4.429 | 1.086–18.065 |
| Abdominal | 7/121 | |||||
| Sheath size | >20Fr | 6/23 | 0.019 | 0.005 | 6.318 | 1.731–23.054 |
| ≤20Fr | 14/175 | |||||
| CFA calcification | <50% | 13/70 | 0.003 | 0.001 | 6.790 | 2.132–21.620 |
| Free | 7/128 | |||||
* indicates circumferential portion of calcium plaques at the access sites.
PRC and factors referred in recent studies of Perclose Proglide in pEVAR.
| Study | Success | Pts./PRC | BMI | Sheath | Exp. | Dia. | Cal. | Dep. |
|---|---|---|---|---|---|---|---|---|
| Zakko[ | 92.0% | 355/29 | - | + | + | + | ||
| Ye[ | 96.5% | 113/4 | + | |||||
| Nelson[ | 94.0% | 50/3 | + | |||||
| Kim[ | 93.2% | 367/25 | ||||||
| Jabori[ | 92.1% | 76/6 | ||||||
| Bechara[ | 81.8% | 99/18 | - | - | + | - | - | |
| Bensley[ | 95.8% | 168/7 | + | |||||
| Al-Khatib[ | 95.8% | 24/1 | + | |||||
| Wei[ | 93.2% | 103/7 | ||||||
| Ni[ | 90.6% | 85/8 | + | |||||
| Krajcer[ | 97.4% | 38/1 | ||||||
| Zhang[ | 91.2% | 68/6 | ||||||
| Grenon[ | 86.7% | 15/2 | ||||||
| Smith[ | 90.9% | 11/1 | - | - | ||||
| Lee[ | 94.5% | 292/16 | ||||||
| Lee[ | 94.3% | 262/15 | + | + | + | + | ||
| Dosluoglu[ | 82.3% | 17/3 |
“+” Indicates the relationship between factors and PRC is positive, and “-”indicates negative.
Pts. (Patients), Exp. (Experience), Dep. (Depth), Dia. (Diameter), Cal. (Calcification).