| Literature DB >> 34013104 |
Sebastiaan Lambooy1, Rathika Krishnasamy1,2,3, Andrea Pollock1, Gerald Hilder1, Nicholas A Gray1,3,4.
Abstract
INTRODUCTION: Telehealth videoconferencing (TVC) may improve access in rural areas, but reported uptake and outcomes among kidney transplant recipients (KTRs) and chronic kidney disease (CKD) patients are limited. This study aimed to assess the feasibility, sustainability, and clinical outcomes of TVC for this patient population.Entities:
Keywords: chronic kidney disease; kidney; telehealth; telemedicine; transplant
Year: 2021 PMID: 34013104 PMCID: PMC8116750 DOI: 10.1016/j.ekir.2021.02.016
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Study flow chart describing subjects excluded from study at 12 and 24 months.
Baseline characteristics of study population
| Control (n = 32) | Telemedicine (n = 32) | ||||
|---|---|---|---|---|---|
| Age, yr mean (SD) | 64.41 | 12 | 63.37 | 12.74 | 0.74 |
| Female sex, (%) | 11 | 34.40% | 11 | 34.40% | 1.00 |
| Transplant, (%) | 16 | 50.00% | 16 | 50.00% | 1.00 |
| Caucasian race, (%) | 32 | 100% | 32 | 100% | 1.00 |
| Primary renal disease | 0.07 | ||||
| Diabetes | 9 | 28.1% | 2 | 6.3% | |
| Hypertension | 2 | 6.3% | 4 | 12.5% | |
| Vascular | 2 | 6.3% | 5 | 15.6% | |
| Glomerulonephritis | 6 | 18.8% | 13 | 40.6% | |
| Cystic disease | 2 | 6.3% | 1 | 3.1% | |
| Other | 11 | 34.4% | 7 | 21.9% | |
| Time since transplantation, yr [IQR] | 4.74 | [2.39– 9.47] | 0.95 | [0.57– 5.54] | 0.13 |
| Smoking status | 0.59 | ||||
| Current/former | 17 | 53.1% | 18 | 56.3% | |
| Never | 15 | 46.9% | 12 | 37.5% | |
| Comorbidities | |||||
| Diabetes | 13 | 40.6% | 10 | 31.3% | 0.43 |
| Peripheral vascular disease | 3 | 9.4% | 1 | 3.1% | 0.30 |
| Ischemic heart disease | 6 | 18.8% | 4 | 12.5% | 0.49 |
| Medication use | |||||
| ACEi or ARB | 22 | 68.8% | 22 | 68.8% | 1.00 |
| Loop diuretic | 7 | 21.9% | 7 | 21.9% | 1.00 |
| β-Blocker or CCB | 16 | 50.0% | 12 | 37.5% | 0.31 |
| Corticosteroid | 15 | 46.9% | 18 | 56.3% | 0.45 |
| Azathioprine | 1 | 3.1% | 1 | 3.1% | 1.00 |
| Mycophenolate | 13 | 40.6% | 16 | 50.0% | 0.45 |
| Tacrolimus or cyclosporin | 13 | 40.6% | 13 | 40.6% | 1.00 |
| Sirolimus or everolimus | 2 | 6.3% | 2 | 6.3% | 1.00 |
| Household characteristics | |||||
| Home computer (%) | 27 | 84.4% | 26 | 81.3% | 0.53 |
| Home Internet (%) | 28 | 87.5% | 25 | 78.1% | 0.19 |
| Income (AUD) | 0.69 | ||||
| < $30k | 17 | 53.1% | 12 | 37.5% | |
| $30k to $60k | 8 | 25.0% | 9 | 28.1% | |
| $60k to $100k | 3 | 9.4% | 3 | 9.4% | |
| > $100k | 1 | 3.1% | 2 | 6.3% | |
| Declined to answer | 3 | 9.4% | 6 | 18.8% | |
| Employment status | |||||
| Retired | 23 | 71.9% | 19 | 59.4% | 0.26 |
| Occupation unknown | 2 | 6.3% | 2 | 6.3% | |
| Metabolic parameters | |||||
| Creatinine, μmol/l [IQR] | 155.5 | [108.5–215] | 129 | [94–185] | 0.49 |
| eGFR, ml/min per 1.73 m2 [IQR] | 37 | [23–58] | 50 | [26–60.50] | 0.46 |
| Systolic BP, mm Hg (SD) | 132.4 | 16.3 | 134.9 | 15.2 | 0.53 |
| Diastolic BP, mm Hg (SD) | 75.1 | 11.3 | 77.8 | 8.5 | 0.29 |
| Cholesterol, mmol/l [IQR] | 4.05 | [3.5–4.85] | 4.75 | [3.85–5.5] | 0.19 |
| BMI, kg/m2 [IQR] | 28.93 | [24.5–35.3] | 28.11 | [25.3–30.8] | 0.65 |
| HbA1c, % | 7.1 | [5.9–8.2] | 6.55 | [6.1–7.8] | 0.78 |
| Satisfaction, Likert scale score 0−10 [IQR] | 10 | [10–10] | 10 | [10–10] | 0.15 |
Data are presented as n (%), mean (standard deviation), or median [interquartile range].
ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; AUD, Australian dollars; BMI, body mass index; BP, blood pressure; CCB, calcium channel blocker; eGFR, estimated glomerular filtration rate.
Two absent in telemedicine group.
One absent in control group.
Includes only diabetic patients (control, n = 13; telemedicine, n = 10),
Figure 2Individual uptake of telemedicine per year. (a) Telemedicine consultations are shown as a percentage of total consultations for each patient at 12 months and 24 months in the telemedicine arm. (b) Subgroup analysis of chronic kidney disease (CKD) patients and kidney transplant recipients. Data expressed as median and interquartile range.
Figure 3Change (%) in creatinine, estimated glomerular filtration rate (eGFR), and blood pressure over time. Percentage change in secondary outcomes at 12 and 24 months normalized to baseline. Data are expressed as median and interquartile range. CKD, chronic kidney disease.
Figure 4Travel distance in the telemedicine group. Theoretical (if telemedicine was not available) and actual distance traveled annually at 12 and 24 months in the telemedicine group. Data are expressed as median and interquartile range.