| Literature DB >> 35074822 |
Chung-Kuan Wu1,2,3, Der-Cherng Tarng4,5,6,7, Chih-Yu Yang6,7,8, Jyh-Gang Leu1,3, Chia-Hsun Lin9,10.
Abstract
OBJECTIVES: Maintenance of vascular access (VA) patency after percutaneous transluminal angioplasty (PTA) is important and remains a challenge despite VA monitoring and surveillance. The aim of this study was to examine factors affecting the post-PTA arteriovenous access (AVA) patency in patients who have been on close VA monitoring and surveillance for access flow.Entities:
Keywords: dialysis; nephrology; vascular medicine; vascular surgery
Mesh:
Year: 2022 PMID: 35074822 PMCID: PMC8788314 DOI: 10.1136/bmjopen-2021-055763
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flowchart describing patient inclusion and exclusion criteria. PTA, percutaneous transluminal angioplasty.
Baseline demographic and clinical characteristics in haemodialysis patients with and without PTA
| With PTA | Without PTA | P value | |
| Number of patients | 231 | 277 | |
| BMI (kg/m2)* | 22.0±4.1 | 22.3±4.1 | 0.489 |
| Mean age (years) | 66.3±13.0 | 66.0±12.7 | 0.795 |
| Male | 117 (50.6) | 151 (54.5) | 0.436 |
| Malignancy | 18 (7.8) | 41 (14.8) |
|
| Hb (g/dL) | 10.4±1.2 | 10.1±1.3 |
|
| Albumin (g/dL) | 3.9±0.4 | 3.8±0.5 |
|
| T-Bil (mg/dL) | 0.5±0.2 | 0.7±1.0 |
|
| Ferritin (ng/mL) | 487.3±275.5 | 571.7±492.3 |
|
| Uric acid (mg/dL) | 6.6±1.4 | 6.2±1.6 |
|
| K (meq/L) | 4.6±0.7 | 4.4±0.6 |
|
| P (mg/dL) | 5.1±1.4 | 4.8±1.4 |
|
| HDL (mg/dL) | 45.7±15.9 | 42.9±14.3 |
|
| Thromb† | 14 (10.6) | – | – |
| VA type |
| ||
| AVF | 171 (74.0) | 260 (93.9) | |
| AVG | 60 (26.0) | 17 (6.1) | |
| β-adrenergic blocking agents | 115 (49.8) | 104 (37.5) |
|
| ADP inhibitor | 55 (23.8) | 31 (11.2) |
|
Continuous data are expressed as the mean±SD; categorical data are expressed as number (%).
Measured in *118 subjects; †140 subjects.
Bold text indicates statistical significance, p-value < 0.05.
AVF, arteriovenous fistula; AVG, arteriovenous graft; BMI, body mass index; Hb, haemoglobin; PTA, percutaneous transluminal angioplasty.
Cox regression analysis of comorbidities, lab data and medication use as predictors of post-PTA primary patency
| Variables | Univariate analysis | Multivariate analysis | ||
| HR (95% CI) | P value | HR (95% CI) | P value | |
| Comorbidity predictors | ||||
| AMI | 2.18 (1.45 to 3.28) |
| 2.17 (1.45 to 3.24) |
|
| Lab data predictors | ||||
| Ferritin (ng/mL) | 3.52 (1.17 to 10.62) |
| 3.60 (1.16 to 11.14) |
|
| VA type* | 1.66 (1.18 to 2.34) |
| 1.65 (1.17 to 2.33) |
|
| Medication predictors | ||||
| DPP-4 inhibitors | 1.57 (1.08 to 2.28) |
| 1.31 (0.85 to 2.02) | 0.226 |
| Thiazolidinediones | 2.65 (1.27 to 5.55) |
| 2.06 (0.90 to 4.70) | 0.088 |
| ADP inhibitor | 1.88 (1.31 to 2.70) |
| 1.77 (1.21 to 2.59) |
|
| Warfarin | 2.22 (1.25 to 3.92) |
| 2.38 (1.34 to 4.23) |
|
Parameter measured in *205 subjects.
Bold text indicates statistical significance, p-value < 0.05.
*Multivariate analysis with age, sex and significant variables from univariate analysis as confounding factors.
AMI, acute myocardial infarction; DPP-4, dipeptidyl peptidase IV; PTA, percutaneous transluminal angioplasty; VA, vascular access.
Figure 2Cox regression survival plot indicating cumulative curve for patients after an initial successful PTA according to (A) a history of acute myocardial infarction (AMI), and (B) type of vascular access: arteriovenous fistula (AVF) or arteriovenous graft (AVG).
Figure 3Cox regression survival plot indicating cumulative curve for patients after an initial successful percutaneous transluminal angioplasty (PTA) according to medication use: (A) dipeptidyl peptidase-4 (DDP4) inhibitor, (B) thiazolidinedione (TZD), (C) ADP receptor inhibitor and (D) warfarin.