| Literature DB >> 33707817 |
S Murugesh Anand1, M Edwin Fernando1, B Suhasini2, K Valarmathi3, K Elancheralathan4, N D Srinivasaprasad1, S Sujit1, K Thirumalvalavan1, C Arun Prabhakaran3, K Jeyashree5.
Abstract
INTRODUCTION: The goal of arterio-venous fistula (AVF) creation is to achieve a well-functioning access that can be cannulated repetitively and can provide adequate flow for the dialysis. The objective of this study was to assess the role of far infrared (FIR) therapy in the unassisted maturation of newly created AVF in patients with chronic kidney disease (CKD).Entities:
Keywords: AV fistula; chronic kidney disease; far infrared; far infrared therapy; primary failure
Year: 2020 PMID: 33707817 PMCID: PMC7869642 DOI: 10.4103/ijn.IJN_122_19
Source DB: PubMed Journal: Indian J Nephrol ISSN: 0971-4065
Figure 1Post AVF cephalic vein diameter
Figure 2Radial artery intimal medial thickness (Marked as 1)
Figure 3Flow through AVF and AVF diameter
Figure 4FIR lamp and its distance (30 cm) from the skin surface
Figure 5H and E stain showing thickness of cephalic vein intima (40× Magnification)
Figure 6Trichrome stain showing cephalic vein medial fibrosis (40× Magnification)
Flow chart 1Flow chart of patients enrolled and completed the study
Comparison of the baseline clinical characteristics of the participants
| Characteristics | Mean±SD/ | ||
|---|---|---|---|
| Test group | Control group | ||
| Age | 44.5±12.3 | 47.0±14.2 | 0.322 |
| Sex | |||
| Male | 33 (64.7%) | 35 (62.5%) | 0.813 |
| Female | 18 (35.3%) | 21 (37.5%) | |
| Diabetics | 15 (29.4%) | 14 (25.0%) | 0.608 |
| Cardiac Disease | 2 (3.9%) | 1 (1.8%) | 0.504 |
| Smoker | 16 (31.4%) | 13 (23.2%) | 0.343 |
| Alcoholic | 18 (35.3%) | 16 (28.6%) | 0.456 |
| eGFR | 6.32±3.51 | 6.90±4.51 | 0.464 |
| Hb | 8.53±1.66 | 8.31±1.33 | 0.444 |
| Alb | 3.34±0.46 | 3.30±0.47 | 0.674 |
| Ca | 7.93±0.77 | 8.03±0.95 | 0.588 |
| Phosphorus | 5.13±0.93 | 5.33±1.09 | 0.333 |
| Uric acid | 5.39±1.69 | 5.52±1.62 | 0.670 |
| Creatinine | 10.43±4.27 | 9.73±4.84 | 0.431 |
| CCBs | 41 (80.4%) | 50 (89.3%) | 0.422 |
| β- Blocker | 20 (39.2%) | 21 (37.5%) | 0.818 |
| RIMT | 0.39±0.11 | 0.39±0.11 | 0.860 |
| BIMT | 0.42±0.09 | 0.43±0.10 | 0.638 |
| Baseline-Rad A Dia | 2.65±0.65 | 2.48±0.43 | 0.116 |
| Baseline- Brach A Dia | 4.69±0.78 | 4.46±0.75 | 0.128 |
| Baseline- Ceph V Dia | 2.89±0 0.31 | 2.86±0.24 | 0.510 |
Comparison of the patients who underwent RCF and BCF with relation to their CKD staging
| Surgery | CKD Stage | |||
|---|---|---|---|---|
| Test Group | Control Group | Total | ||
| RCF | 4 | 4 (9.3%) | 4 (9.1%) | 8 (9.2%) |
| 5 | 39 (90.7%) | 40 (90.9%) | 79 (90.8%) | |
| BCF | 4 | 0 | 1 (8.3%) | 1 (5.0%) |
| 5 | 8 (100.0%) | 11 (91.7%) | 19 (95.0%) | |
Difference in Qa between the test and the control arms at the end of the study period
| AVF | Flow Rate | Test Group | Control Group | |||
|---|---|---|---|---|---|---|
| % | % | |||||
| RCF | <500 | 5 | 12.2% | 12 | 29.3% | |
| 500-800 | 7 | 17.1% | 11 | 26.8% | 0.003 | |
| >800 | 29 | 70.7% | 18 | 43.9% | ||
| BCF | <500 | 1 | 12.5% | 1 | 10.0% | |
| 500-800 | 1 | 12.5% | 4 | 40.0% | 0.142 | |
| >800 | 6 | 75.0% | 5 | 50.0% | ||
Average flow rate at the end of 4 weeks and 3 months in both the groups compared
| Test Group | Control Group | ||||
|---|---|---|---|---|---|
| Qa 4th week | Qa 3rd Month | Qa 4th week | Qa 3rd Month | ||
| Surgery | |||||
| RCF | 714.05±221.47 | 850.38±316.07 | 581.30±179.50 | 649.77±367.82 | 0.003 |
| BCF | 832.99±369.42 | 980.14±403.29 | 584.62±258.68 | 922.12±489.07 | 0.410 |
Comparison of cephalic vein diameter in both arms at different time periods
| Cephalic vein diameter | Test group | Control group | |
|---|---|---|---|
| Baseline | 2.89±0.31 | 2.86±0.24 | 0.510 |
| 4th week | 4.96±0.82 | 4.54±1.11 | 0.62 |
| 3rd month | 6.35±1.26 | 6.16±1.71 | 0.31 |
AVF failure compared in both groups
| AVF outcome | OR | |||||
|---|---|---|---|---|---|---|
| Success | Failure | |||||
| % | % | |||||
| Test arm | 44 | 89.8% | 5 | 10.2% | 0.292 (0.096,0.888) | 0.025 |
| Control arm | 36 | 72.0% | 14 | 28.0% | ||
Correlation between the IMT and the AVF flow rate in control and test arms
| Test Group | Control Group | ||||
|---|---|---|---|---|---|
| 4th week- Qa (Mean±SD) | 3rd month- Qa (Mean±SD) | 4th week- Qa (Mean±SD) | 3rd month- Qa (Mean±SD) | ||
| RIMT | |||||
| <0.5 mm | 801.98±172.65 | 940.45±264.60 | 614.10±181.18 | 815.64±348.62 | 0.003 |
| >=0.5 mm | 466.27±330.36 | 602.93±432.05 | 483.16±212.50 | 374.41±384.90 | |
| BIMT | |||||
| <0.5 mm | 751.49±188.08 | 887.43±309.16 | 594.03±203.34 | 734.56±392.58 | 0.014 |
| >=0.5 mm | 688.41±368.92 | 831.90±388.96 | 560.42±184.40 | 645.62±429.55 | |
Risk factors associated with AVF failure
| AVF outcome | OR | |||||
|---|---|---|---|---|---|---|
| Success | Failure | |||||
| % | % | |||||
| Sex | ||||||
| Male | 51 | 79.7% | 13 | 20.3% | 0.812 (0.279,2.365) | 0.702 |
| Female | 29 | 82.9% | 6 | 17.1% | ||
| Diabetes | ||||||
| No | 64 | 87.7% | 9 | 12.3% | 4.44 (1.55,12.75) | 0.004 |
| Yes | 16 | 61.5% | 10 | 38.5% | ||
| Smoker | ||||||
| No | 60 | 83.3% | 12 | 16.7% | 1.75 (0.61,5.1) | 0.297 |
| Yes | 20 | 74.1% | 7 | 25.9% | ||
| Alcoholic | ||||||
| No | 54 | 80.6% | 13 | 19.4% | 0.959 (0.327,2.807) | 0.638 |
| Yes | 26 | 81.2% | 6 | 18.8% | ||
| Stage | ||||||
| 4 | 7 | 77.8% | 2 | 22.2% | 0.815 (0.155,4.28) | 0.809 |
| 5 | 73 | 81.1% | 17 | 18.9% | ||
| Surgery | ||||||
| RCF | 64 | 79.0% | 17 | 21.0% | 0.471 (0.098,2.249) | 2.336 |
| BCF | 16 | 88.9% | 2 | 11.1% | ||
Figure 7The spectrum of electromagnetic radiation and some biological changes it may induce[24]
Result of this study compared with the other RCTs
| Study | Decide | Patients | FIR exposure | Study Duration (Months) | Results |
|---|---|---|---|---|---|
| Choi | RCT | FIR: 25 Control: 25 | 40 min Thrice weekly | 12 | FIR therapy increased AVF blood flow from 881.6 to 934.7 ml/min |
| Lai | RCT | FIR: 118 Control: 98 | 40 min Thrice weekly | 12 | No statistical difference in unassisted patency rate at 1 year between groups (25.0% versus 18.4%) |
| Lin | RCT | FIR: 72 Control: 73 | 40 min Thrice weekly | 12 | FIR reduced AVF malfunction (12.5% versus 30.1%), and increased unassisted patency rate of AVF (85.9% versus 67.6%) |
| Lin | RCT | FIR: 139 Control: 141 | 40 min Thrice weekly | 12 | FIR can improve the unassisted patency rate compared with the control group (87.4% versus 72.5%) |
| Lin | RCT | FIR: 20 Control: 20 | 40 min Thrice weekly | 12 | FIR improves the access flow, improve the unassisted patency rate (87% versus 70%), decrease AVF malfunction (12% versus 29%) |
| Yang | RCT | FIR: 20 Control: 20 | 40 min Thrice weekly | 6 | FIR improves the access blood flow and decrease inflammation |
| Current study | RCT | FIR: 51 Control: 56 | 40 min Twice weekly for 4 weeks | 3 | FIR therapy improves access flow (850.38±316.07 ml/min vs. 649.77±367.82ml/min) and decreases AVF primary failure (10.2% vs. 28%) |