Despite well-known benefits of kidney transplantation, the risk of stroke and cognitive impairment (1) remain higher in transplant recipients than the general population. Underlying mechanisms may not be solely related to eGFR (2), and altered cerebral blood flow (3) and possibly cerebrovascular response may contribute. Middle cerebral artery blood velocity (MCAV) response to exercise quantifies the physiologic increase in cerebral blood flow with exercise and determines the ability to maintain cerebral blood flow through physiologic stresses; it is measured by the increase in MCAV from rest to steady-state exercise (4,5). We hypothesized that kidney transplant recipients have a blunted MCAV response and impaired MCAV kinetics response profile with exercise.
In this cross-sectional, observational study, we compared MCAv response and MCAV kinetics response profile with exercise in 50 kidney transplant recipients to 50 age- and sex-matched healthy controls without CKD using transcranial Doppler ultrasound during an acute bout of moderate-intensity exercise. We enrolled transplant recipients from our transplant clinic, and healthy controls from the community by word-of-mouth and flyers. All experimental procedures were approved by the Human Subjects Committee, and all participants gave informed consent. Inclusion criteria were: age 20–85 years, ≥3 months since transplantation, stable kidney function, a serum creatinine <3 mg/dl, and ability to perform moderate-intensity exercise. Patients were excluded if they had a dual organ transplant, acute stroke, concussion, traumatic brain injury, Parkinson’s disease, dementia, multiple sclerosis, severe pulmonary disease or dependency on supplemental oxygen, or if they were using antipsychotics or antiepileptics. Participants were excluded from the analysis if study staff were not able to acquire MCA signal using transcranial Doppler ultrasound. All transplant recipients were on calcineurin inhibitors per institutional protocol.
The experimental protocol used was identical to our prior work (4,5). Briefly, beat to beat heart rate (HR), mean arterial pressure, MCAV, and end-tidal carbon dioxide (PETCO2) were measured at rest and at steady state moderate-intensity exercise defined as 45%–55% of HR reserve calculated using the Karvonen formula. Participants completed two exercise bouts and data points were averaged to optimize signal-to-noise ratio. Our primary outcome, MCAv response to exercise, was calculated as the change in mean beat to beat MCAV from rest to steady-state moderate-intensity exercise. Our secondary outcome, MCAV kinetics response profile, was measured using 3-second time-binned means over the entire rest and exercise bout with a mono-exponential model:
where MCAV(t) is the MCAV at any point in time, BL is the baseline resting MCAV prior to starting exercise, TD is the time delay preceding the exponential increase in MCAV, Amp is the peak amplitude of the response, and tau (τ) is the time constant.
Demographic characteristics, MCAv response to exercise, and MCAV kinetics response profile are presented in Table 1. Baseline mean arterial pressure and HR were higher in the transplant recipients. There was no difference in resting MCAV between transplant recipients and controls (P=0.31), likely because the two groups were age-matched (4). PETCO2 monitoring did not reveal hyperventilation. Both groups reached moderate-intensity exercise. However, transplant recipients reached a similar HR at a lower work rate, likely indicating that they were more “deconditioned” than the controls. Transplant recipients had a blunted MCAv response to exercise (P=0.003). There was no association between MCAv response to exercise and duration of dialysis or time since transplantation. Because of poor model fit (i.e., nonexponential response), three transplant recipients were excluded from the MCAV kinetics response profile analysis. Transplant recipients achieved target HR at lower work rates (P<0.001) with a shorter time delay (P<0.001) and a lower amplitude (P=0.003) but similar τ (P=0.52).
Table 1.
Participant characteristics, cerebrovascular response, and middle cerebral artery kinetics response during acute bout of moderate-intensity exercise
| Patient Characteristics | Healthy Controls (n=50) |
Transplant Recipients (n=50) |
P Value |
|---|---|---|---|
| Participant demographics | |||
| Age, yr, mean ± SD | 52±15 | 51±12 | |
| Male, n (%) | 31 (62) | 31 (62) | |
| Race, n (%) | |||
| White | 40 (80) | 43 (86) | |
| Black | 1 (2) | 3 (6) | |
| Asian | 7 (14) | 1 (2) | |
| Other | 2 (4) | 3 (6) | |
| Comorbid conditions, n (%) | |||
| Coronary artery disease | 4 (8) | 7 (14) | |
| Diabetes mellitus | 1 (2) | 11 (39) | |
| Hypertension | 7 (14) | 46 (92) | |
| Stroke | 0 (0) | 0 (0) | |
| Smoking | 1 (2) | 4 (8) | |
| Arrhythmias | 3 (6) | ||
| Depression | 10 (20) | ||
| Transplant recipient–specific characteristics | |||
| Cause of kidney failure, n (%) | |||
| Diabetes mellitus | 2 (4) | ||
| Hypertension | 5 (10) | ||
| ADPKD | 15 (30) | ||
| Other | 28 (56) | ||
| Dialysis modality prior to transplant, n (%) | |||
| Not on dialysis | 17 (34) | ||
| In-center hemodialysis | 21 (42) | ||
| Home hemodialysis | 2 (4) | ||
| Peritoneal dialysis | 10 (20) | ||
| Duration of dialysis prior to transplant, d, mean±SD | 572±750 | ||
| Time since transplant, d, mean±SD | 2389±2125 | ||
| eGFR ml/min per 1.73 m2, mean±SD | 62±3 | ||
| Cerebrovascular response and middle cerebral artery velocity kinetics response, mean±SD | |||
| Resting MAP, mm Hg | 76±13 | 96±21 | <0.001 |
| Resting HR, bpm | 69±10 | 75±12 | 0.006 |
| Resting PETCO2, mm Hg | 34±4 | 32±3 | 0.002 |
| Resting MCAv, cm/s | 53.1±9.2 | 55.7±14.6 | 0.31 |
| MCAv response to exercise, cm/s | 12.4±5.7 | 9.1±4.9 | 0.003 |
| Work rate, Wa | 115.3±29.5 | 83.6±16.1 | <0.001 |
| Time delay, sa | 51±31 | 23±41 | <0.001 |
| Amplitude, cm/sa | 12.2±5.7 | 9.3±4.3 | 0.003 |
| Time constant, τ, sa | 36±26 | 43±40 | 0.52 |
| Steady-state MAP, mm Hga | 100±19 | 120±22 | <0.001 |
| Steady-state HR, bpma | 113±13 | 111±20 | 0.58 |
| Steady-state PETCO2, mm Hg | 40±6 | 36±4 | <0.001 |
Baseline demographics of kidney transplant recipients and heathy controls are compared using descriptive statistics. For categorical variables, nonparametric Fisher exact test and chi-squared test of independence were used. For continuous variables, parametric (Welch t test) and nonparametric tests (Mann–Whitney U test) as appropriate following Shapiro–Wilk tests were used. Multiple linear regression analyses were used to assess the effect of duration of dialysis and time since kidney transplantation on MCAv response to exercise. Statistical significance was evaluated at α=0.05. ADPKD, autosomal polycystic kidney disease; eGFR, estimated glomerular filtration rate; MAP, mean arterial pressure; HR, heart rate; bpm, beats per minute; PETCO2, end tidal carbon dioxide; MCAv, middle cerebral artery velocity,
The MCAv kinetics profile, i.e., work rate, time delay, amplitude, time constant, steady-state MAP, steady-state heart rate, and steady-state PETCO2 were reported for 47 kidney transplant recipients and 47 healthy controls as three kidney transplant recipients did not have a detectable change in MCAv.
Thus, even after restoration of kidney function with transplantation, MCAv response to exercise remains blunted. This inability to adequately increase MCAV with exercise might explain the higher risk of cerebrovascular events, cognitive impairment, and dementia in transplant recipients. The blunted MCAv response to exercise could be related to vascular stiffness because of long-standing hypertension and other comorbidities associated with CKD (independent of kidney function) and/or possible role of calcineurin inhibitors leading to persistent cerebrovascular dysregulation post-transplant.
Few prior studies have evaluated MCAv response to exercise in CKD, and none have evaluated MCAV kinetics response profile. MCAv response to exercise is blunted with aging (4), and with stroke (5). However, time delay does not decrease with age. A shorter time delay represents a faster change in MCAV with exercise and could represent a high basal metabolic need, an impaired regulatory response, or a lower cerebral reserve where the MCAV has to increase sooner to meet the metabolic demands.
Our study has limitations. The use of transcranial Doppler ultrasound assumes a constant MCA diameter for MCAV to be used as a direct proxy for cerebral blood flow. We are unable to model the dynamic response of PETCO2 as postprocessed data for MCAV are beat to beat and for PETCO2 data are breath by breath.
In summary, kidney transplant recipients have a blunted MCAv response and altered MCAV kinetics response profile with exercise. Future longitudinal studies can help understand the cause and prognostic significance of the blunted MCAv response to exercise in kidney transplantation and CKD.
Disclosures
A. Gupta reports consultancy agreements with Novartis Pharmaceuticals; receiving research funding from the National Institutes of Health, Novartis, and Veloxis; receiving honoraria from UpToDate; and serving on the regional medical advisory board for the National Kidney Foundation and on the editorial board of Kidney Medicine. All remaining authors have nothing to disclose.
Funding
This work was supported by National Institutes of Health grant K23 AG055666 (to A. Gupta), an investigator-initiated grant from Novartis Pharmaceuticals (to A. Gupta), and an investigator-initiated grant from Veloxis Pharmaceuticals (to A. Gupta). The data collected were not shared with Novartis and Veloxis pharmaceuticals, and Novartis and Veloxis pharmaceuticals were not involved in the conduct of the study, data collection, analysis, or interpretation.
Acknowledgments
We thank Drue White and Andrew Geise for their help with data collection and Madison Henry for analyzing the kinetics data. A. Gupta conceptualized the research question; J.L. Ward and A. Jurgensen performed the experiments; A. Gupta, J.L. Ward, A. Jurgensen, S. Billinger, and M. Ramakrishnan analyzed data; A. Gupta, J.L. Ward, A. Jurgensen, M. Ramakrishnan, and S. Billinger interpreted results; A. Gupta, J.L Ward, A. Jurgensen, and M. Ramakrishnan prepared the table; A. Gupta, J.L. Ward, M. Ramakrishnan, A. Jurgensen, and S. Billinger drafted, edited, and revised the manuscript; and all authors approved final version of manuscript.
Footnotes
Published online ahead of print. Publication date available at www.cjasn.org.
References
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