| Title |
Heart rate variability and baroreflex sensitivity abnormalities in Guillain–Barré syndrome: a pilot study
|
|---|---|
| Published in |
Clinical Autonomic Research, April 2018
|
| DOI | 10.1007/s10286-018-0525-z |
| Pubmed ID | |
| Authors |
Cheng-Yin Tan, Nortina Shahrizaila, Kee-Ying Yeoh, Khean-Jin Goh, Maw-Pin Tan |
| Abstract |
The current study aimed to investigate autonomic dysfunction in Guillain-Barré syndrome (GBS) patients and describe the results of computational heart rate variability (HRV)/baroreflex sensitivity (BRS) and autonomic challenge tests. GBS patients were consecutively recruited and the results were compared to age- and gender-matched healthy controls. A series of autonomic function tests including computation-dependent tests (power spectrum analysis of HRV and BRS at rest) and challenge maneuvers (deep breathing, eyeball compression, active standing, the Valsalva maneuver, sustained handgrip, and the cold pressor test) were performed. Ten GBS patients (six men; mean age = 40.1 ± 13.9 years) and ten gender- and age-matched healthy controls were recruited. The mean GBS functional grading scale at disease plateau was 3.4 ± 1.0. No patients required intensive care unit admission or mechanical ventilation. Low-frequency HRV (p = 0.027), high-frequency HRV (p = 0.008), and the total power spectral density of HRV (p = 0.015) were significantly reduced in patients compared to controls. The mean up slope (p = 0.034), down slope (p = 0.011), and total slope (p = 0.024) BRS were significantly lower in GBS patients. The diastolic rise in blood pressure in the cold pressor test was significantly lower in GBS patients compared to controls (p = 0.008). Computation-dependent tests (HRV and BRS) were more useful for detecting autonomic dysfunction in GBS patients, whereas the cold pressor test was the only reliable challenge test, making it useful as a bedside measure of autonomic function in GBS patients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Student > Postgraduate | 4 | 12% |
| Student > Master | 4 | 12% |
| Unspecified | 3 | 9% |
| Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Unspecified | 3 | 9% |
| Nursing and Health Professions | 3 | 9% |
| Mathematics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 13 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2018.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Clinical Autonomic Research
#564
of 787 outputs
Outputs of similar age
#209,019
of 327,997 outputs
Outputs of similar age from Clinical Autonomic Research
#16
of 21 outputs
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