| Literature DB >> 36253400 |
Hyoung Nam Lee1, Seung Boo Yang2, Woong Hee Lee1, Youngjong Cho3, Sung-Joon Park4, Sangjoon Lee5.
Abstract
The aim of the current study was to determine the prevalence of anatomic variant in cephalic arch on preoperative mapping venography and evaluate patency rates and predictors of patency in patients with brachiocephalic fistulas. The prevalence of anatomic variant in cephalic arch was retrospectively evaluated in 1004 consecutive patients who underwent bilateral preoperative mapping venography from July 2006 to December 2018 in a single center. The overall prevalence of anatomic variant in cephalic arch was 17.2% (173/1004). For patency analysis, 128 patients with brachiocephalic fistulas were divided into two groups: a standard anatomy (SA) group (n = 97) and a variant anatomy (VA) group (n = 31). There were no significant differences in clinical characteristics between the two groups. The primary patency rate did not differ significantly between the two groups. The secondary patency rate was significantly (p = 0.009) lower in the VA group than in the SA group. Older age (HR 1.03; 95% CI 1.01-1.05; p = 0.007) was a negative predictor of primary patency, and antiplatelet agent (HR 0.53; 95% CI 0.33-0.84; p = 0.007) and large-diameter cephalic vein (HR 0.52; 95% CI 0.31-0.86; p = 0.012) were positive predictors of primary patency. Older age (HR 1.04; 95% CI 1.01-1.07; p = 0.011) and anatomic variant in cephalic arch (HR 2.9; 95% CI 1.19-7.06; p = 0.019) were negative predictors of secondary patency. The current study provides insight into the clinical significance of anatomic variant in cephalic arch. Anatomic variant in cephalic arch should be considered as a potential risk factor for decreased patency of brachiocephalic fistula during preoperative planning.Entities:
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Year: 2022 PMID: 36253400 PMCID: PMC9576787 DOI: 10.1038/s41598-022-22372-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Study flow diagram.
Figure 2Sites of stenosis in brachiocephalic fistula. Illustrations demonstrate (2A) classification of sites of stenosis, (2B) sites of stenosis in the SA group, and (2C) sites of stenosis in the VA group. SA: standard anatomy; VA: variant anatomy.
Comparison of clinical characteristics between the two groups.
| Characteristics | All ( | SA ( | VA ( | |
|---|---|---|---|---|
| Age, years | 60.71 ± 13.3 | 59.95 ± 13.2 | 63.1 ± 13.56 | 0.299 |
| Male | 68 (53.12%) | 53 (54.64%) | 15 (48.39%) | 0.689 |
| Smoking | 25 (19.53%) | 21 (21.65%) | 4 (12.9%) | 0.419 |
| CVC placement | 23 (17.97%) | 16 (16.49%) | 7 (22.58%) | 0.617 |
| MAP, mmHg | 96.48 ± 11.88 | 96.05 ± 12.26 | 97.85 ± 10.66 | 0.546 |
| BMI, kg/m2 | 24.28 ± 3.85 | 24.29 ± 4.01 | 24.23 ± 3.38 | 0.775 |
| eGFR, mL/min/1.73 m2 | 10.65 ± 3.73 | 10.64 ± 3.57 | 10.69 ± 4.24 | 0.956 |
| Cephalic vein, mm | 2.49 ± 0.51 | 2.53 ± 0.53 | 2.36 ± 0.43 | 0.112 |
| Medication | 92 (71.88%) | 67 (69.07%) | 25 (80.65%) | 0.309 |
| Antiplatelet agent | 88 (68.75%) | 64 (65.98%) | 24 (77.42%) | 0.33 |
| Anticoagulation agent | 4 (3.12%) | 3 (3.09%) | 1 (3.23%) | > 0.99 |
| ≥ 2 Comorbidities | 95 (74.22%) | 74 (76.29%) | 21 (67.74%) | 0.477 |
| Hypertension | 114 (95%) | 92 (94.85%) | 22 (95.65%) | > 0.99 |
| Diabetes | 84 (70%) | 69 (71.13%) | 15 (65.22%) | 0.761 |
| Cerebrovascular disease | 24 (20%) | 22 (22.68%) | 2 (8.7%) | 0.158 |
| Cardiovascular disease | 28 (23.33%) | 23 (23.71%) | 5 (21.74%) | > 0.99 |
| PAOD | 7 (5.83%) | 4 (4.12%) | 3 (13.04%) | 0.128 |
SA, standard anatomy; VA, variant anatomy; CVC, central vein catheterization; MAP, mean arterial pressure; BMI, body mass index; eGFR, estimated glomerular filtration rate; PAOD, peripheral arterial occlusive disease.
Figure 3Kaplan–Meier survival analysis. Kaplan–Meier curves demonstrate (3A) primary and (3B) secondary patency rates in SA and VA groups. SA: standard anatomy; VA: variant anatomy.
Predictors of primary patency.
| Univariable analysis | Multivariable analysis | |||||
|---|---|---|---|---|---|---|
| Variables | HR | 95% CI | HR | 95% CI | ||
| Age | 1.027 | 1.009–1.045 | 0.003* | 1.026 | 1.007–1.045 | 0.007* |
| Male | 0.921 | 0.592–1.435 | 0.717 | |||
| Smoking | 0.746 | 0.411–1.354 | 0.336 | |||
| CVC placement | 1.196 | 0.678–2.112 | 0.537 | |||
| MAP, mmHg | 0.99 | 0.972–1.008 | 0.264 | |||
| BMI, kg/m2 | 0.997 | 0.94–1.058 | 0.919 | |||
| eGFR, mL/min/1.73m² | 1.02 | 0.958–1.085 | 0.537 | |||
| Cephalic vein, mm | 0.54 | 0.326–0.895 | 0.017* | 0.515 | 0.308–0.862 | 0.012* |
| Antiplatelet | 0.569 | 0.361–0.896 | 0.015* | 0.528 | 0.333–0.837 | 0.007* |
| Anticoagulation | 1.651 | 0.518–5.264 | 0.397 | |||
| ≥ 2 Comorbidities | 1.099 | 0.655–1.841 | 0.722 | |||
| Anatomical variant | 1.157 | 0.688–1.943 | 0.583 | |||
CVC, central vein catheterization; MAP, mean arterial pressure; BMI, body mass index; eGFR, estimated glomerular filtration rate.
*p < 0.05 means statistical significance.
Predictors of secondary patency.
| Univariable analysis | Multivariable analysis | |||||
|---|---|---|---|---|---|---|
| Variables | HR | 95% CI | HR | 95% CI | ||
| Age | 1.038 | 1.006–1.07 | 0.019* | 1.04 | 1.008–1.073 | 0.011* |
| Male sex | 0.785 | 0.358–1.722 | 0.545 | |||
| Smoking | 0.903 | 0.309–2.639 | 0.852 | |||
| CVC placement | 0.982 | 0.335–2.878 | 0.974 | |||
| MAP, mmHg | 0.981 | 0.951–1.012 | 0.229 | |||
| BMI, kg/m2 | 1.021 | 0.919–1.135 | 0.695 | |||
| eGFR, mL/min/1.73m² | 1.067 | 0.961–1.184 | 0.224 | |||
| Cephalic vein, mm | 0.423 | 0.154–1.164 | 0.096 | 0.533 | 0.196–1.453 | 0.219 |
| Antiplatelet | 0.959 | 0.413–2.224 | 0.921 | |||
| Anticoagulation | 1.104 | 0.148–8.243 | 0.923 | |||
| ≥ 2 Comorbidities | 0.917 | 0.381–2.203 | 0.846 | |||
| Anatomical variant | 2.923 | 1.256–6.799 | 0.013* | 2.898 | 1.189–7.063 | 0.019* |
CVC, central vein catheterization; MAP, mean arterial pressure; BMI, body mass index; eGFR, estimated glomerular filtration rate.
*p < 0.05 means statistical significance.