| Literature DB >> 32571240 |
Zi-Ming Wan1, Bo Hu2, Qi-Quan Lai1, Xue-Jing Gao1, Bo Tu3, Yu Zhou4, Wen-Bo Zhao5.
Abstract
BACKGROUND: Previous studies have not described the relationship between reducing radial artery diameter as well as increasing age and functional maturation of the radio-cephalic arteriovenous fistula (RCAVF) and no data identify these as linear relationship. The objective of this study was to perform trend analysis to assess these aspects.Entities:
Keywords: Age; Functional maturation; Radial artery diameter; Radio-cephalic Arteriovenous fistula
Year: 2020 PMID: 32571240 PMCID: PMC7310035 DOI: 10.1186/s12882-020-01883-w
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1Flow chart of study participants
Summary of the baseline characteristics of wrist RCAVFs
| Variable | mature Wrist RCAVF group | Immature Wrist RCAVF group | z/χ2 | ||
|---|---|---|---|---|---|
| ( | ( | ||||
| Gender | male(%) | 122 (40.50) | 22 (43.20) | 5.326 | 0.021 |
| female(%) | 179 (59.5) | 30 (57.70) | |||
| Age (years), Median (IQR) | 57.00 (46.00, 67.00) | 61.50 (52.00, 74.00) | −2.611 | 0.009 | |
| Diabetes (%) | 111 (36.90) | 27 (51.90) | 4.216 | 0.040 | |
| Smoking history (%) | 129 (42.90) | 19 (36.50) | 0.727 | 0.394 | |
| BMI/(kg/m2),Median (IQR) | 22.99 (20.76, 25.66) | 21.87 (19.92, 24.20) | −1.734 | 0.083 | |
| Left side (%) | 253 (84.10) | 41 (78.80) | 0.864 | 0.353 | |
| Wrist radial artery diameter (mm),Median (IQR) | 2.10 (1.90, 2.50) | 2.00 (1.80, 2.20) | −2.812 | 0.005 | |
| Wrist cephalic vein diameter (mm),Median (IQR) | 2.50 (2.20, 2.80) | 2.30 (2.10, 2.70) | −1.694 | 0.090 | |
| HGB/(g/L), Median (IQR) | 86.00 (75.00, 98.00) | 83.50 (74.00, 103.75) | −0.222 | 0.824 | |
| Albumin/ (g/L), Median (IQR) | 36.00 (32.00, 39.00) | 35.00 (32.00, 37.38) | −0.599 | 0.549 | |
| Ca/(mmol/L), Median (IQR) | 2.04 (1.89, 2.18) | 2.07 (1.92, 2.21) | −1.081 | 0.280 | |
| P/(mmol/L), Median (IQR) | 1.78 (1.46, 2.20) | 1.73 (1.29, 2.45) | −1.651 | 0.099 | |
| PTH/(pg/ml), Median (IQR) | 286.30 (211.20, 387.40) | 270.98 (192.10, 406.80) | −0.541 | 0.589 | |
| TC/(mmol/L), Median (IQR) | 3.89 (3.37,4.35) | 3.93 (3.25, 4.92) | −0.265 | 0.791 | |
| TG/(mmol/L), Median (IQR) | 1.37 (1.06, 1.80) | 1.48 (1.05, 2.48) | −1.343 | 0.179 | |
| LDL-C/(mmol/L), Median (IQR) | 2.25 (1.80, 2.63) | 1.96 (1.66, 3.06) | −0.951 | 0.341 | |
| HDL-C/(mmol/L), Median (IQR) | 1.09 (0.88, 1.28) | 1.10 (0.85, 1.30) | −0.096 | 0.923 | |
| FBG/ (s), Median (IQR) | 4.30 (3.67, 5.19) | 4.04 (3.12, 4.84) | −1.887 | 0.059 | |
BMI Body mass index; HGB Hemoglobin; Ca Serum calcium; P Serum phosphorus; PTH parathyroidhormone; TC Total Cholesterol; TG Triglyceride; HDL-C High-density Lipoprotein; LDL-C Low Density Lipoprotein; PT Prothrombin time; APTT Activated partial thromboplastin time; INR International normalized ratio; FBG Fibrinogen
The multivariate regression analysis for maturation outcomes of RCAVFs
| Variable | B | SE | Wald | df | Sig. | Exp(B) | 95.0% CI for Exp(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Age | −0.029 | 0.013 | 4.994 | 1 | 0.025 | 0.971 | 0.946 | 0.996 |
| Diabetes | −0.939 | 0.391 | 5.753 | 1 | 0.016 | 0.391 | 0.182 | 0.842 |
| Wrist radial artery diameter | 1.045 | 0.458 | 5.201 | 1 | 0.023 | 2.843 | 1.158 | 6.980 |
Trend analysis of maturation outcomes for different age levels components in multiple models
| Variable | |||||
|---|---|---|---|---|---|
| 20–29 | 30–49 | 50–69 | 70–90 | ||
| Age | |||||
| Median (y) | 24.50 | 44.00 | 60.00 | 74.50 | |
| Cases/person | 1/24 | 10/83 | 22/164 | 19/82 | |
| Model 1, OR(95%CL) | 1.00(Ref) | 0.317 (0.039, 2.614) | 0.281 (0.036, 2.184) | 0.144 (0.018, 1.139) | 0.014 |
| 0.286 | 0.225 | 0.066 | |||
| Model 2, OR(95%CL) | 1.00(Ref) | 0.341 (0.040, 2.894) | 0.369 (0.045, 2.989) | 0.175 (0.021, 1.443) | 0.041 |
| 0.324 | 0.350 | 0.105 | |||
| Model 3, OR(95%CL) | 1.00(Ref) | 0.276 (0.031, 2.431) | 0.316 (0.038, 2.656) | 0.135 (0.016, 1.172) | 0.029 |
| 0.246 | 0.289 | 0.069 | |||
| Model 4, OR(95%CL) | 1.00(Ref) | 0.236 (0.026, 2.171) | 0.313 (0.036, 2.723) | 0.126 (0.014, 1.133) | 0.039 |
| 0.202 | 0.293 | 0.065 | |||
OR Odds rations; 95% CL 95% Confidence interval; Model 1: unadjusted relevant factors; Model 2: Univariate model plus gender,
BMI Smoking history, diabetes; Model 3: Model 2 plus wrist radial artery diameter, wrist cephalic vein diameter, left side or right
side; Model 4: Model 3 plus HGB, albumin, Ca, P, PTH, TC, TG, LDL-C, HDL-C, FBG
Trend analysis of immaturation outcomes for different radial artery diameter components in multiple models
| Variable | Radial artery diameter (mm) | ||||
|---|---|---|---|---|---|
| ≤1.9 | >1.9 and ≤ 2.1 | >2.1and ≤2.4 | >2.4 | ||
| Diameter | |||||
| Median (y) | 1.80 | 2.10 | 2.30 | 2.70 | |
| Cases/person | 22/107 | 14/83 | 9/76 | 7/87 | |
| Model 1, OR(95%CL) | 1.00(Ref) | 0.338 (0.137, 0.835) | 0.431 (0.165, 1.129) | 0.651 (0.230, 1.842) | 0.011 |
| 0.059 | 0.087 | 0.419 | |||
| Model 2, OR(95%CL) | 1.00(Ref) | 1.251 (0.573, 2.732) | 1.831 (0.768, 4.363) | 2.841 (1.085, 7.441) | 0.023 |
| 0.575 | 0.172 | 0.034 | |||
| Model 3, OR(95%CL) | 1.00(Ref) | 1.231 (0.563, 2.692) | 1.820 (0.763, 4.339 | 2.765 (1.048, 7.295) | 0.027 |
| 0.603 | 0.177 | 0.040 | |||
| Model 4, OR(95%CL) | 1.00(Ref) | 1.181 (0.531, 2.625) | 1.592 (0.659, 3.848) | 2.638 (0.977, 7.127) | 0.045 |
| 0.683 | 0.302 | 0.056 | |||
OR Odds rations; 95% CL 95% Confidence interval; Model 1: unadjusted relevant factors; Model 2: Univariate model plus age,
gender, BMI, smoking history, diabetes; Model 3: Model 2 plus wrist cephalic vein diameter, left side or right side;
Model 4: Model 3 plus HGB, albumin, Ca, P, PTH, TC, TG, LDL-C, HDL-C, FBG
Multiple models of logistic regression to analyze immaturity risk for different age levels
| Variable | B | SE | Wald | df | Sig. | Exp(B) | 95.0% CI for Exp(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Age | ||||||||
| Model 1 | 0.482 | 0.194 | 6.188 | 1 | 0.013 | 1.620 | 1.108 | 2.368 |
| Model 2 | 0.434 | 0.208 | 4.343 | 1 | 0.037 | 1.543 | 1.026 | 2.320 |
| Model 3 | 0.478 | 0.214 | 4.980 | 1 | 0.026 | 1.614 | 1.060 | 2.456 |
| Model 4 | 0.460 | 0.218 | 4.446 | 1 | 0.035 | 1.584 | 1.033 | 2.430 |
Model 1: Unadjusted relevant factors; Model 2: Univariate model plus gender, BMI, smoking history, diabetes; Model 3: Model 2 plus wrist radial artery diameter, wrist cephalic vein diameter, left side or right side; Model 4: Model 3 plus HGB, albumin, Ca, P, PTH, TC, TG, LDL-C, HDL-C, FBG
Multiple models of logistic regression to analyze immaturity risk for different radial artery diameter levels
| Variable | B | SE | Wald | df | Sig. | Exp(B) | 95.0% CI for Exp(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Wrist radial artery diameter | ||||||||
| Model 1 | 0.354 | 0.138 | 6.569 | 1 | 0.010 | 1.425 | 1.087 | 1.868 |
| Model 2 | 0.337 | 0.147 | 5.284 | 1 | 0.022 | 1.401 | 1.051 | 1.869 |
| Model 3 | 0.330 | 0.148 | 5.000 | 1 | 0.025 | 1.391 | 1.042 | 1.858 |
| Model 4 | 0.299 | 0.150 | 3.997 | 1 | 0.046 | 1.349 | 1.006 | 1.808 |
Model 1: Unadjusted relevant factors; Model 2: Univariate model plus age, gender, BMI, smoking history, diabetes; Model 3: Model 2 plus wrist cephalic vein diameter, left side or right side; Model 4: Model 3 plus HGB, albumin, Ca, P, PTH, TC, TG, LDL-C, HDL-C, FBG