Evidence map›Paper›PMID 35808551›Full record

ArticleSensors (Basel, Switzerland)2022

Pilot Study for Correlation of Heart Rate Variability and Dopamine Transporter Brain Imaging in Patients with Parkinsonian Syndrome.

Devdutta S Warhadpande, Jiayan Huo, William A Libling, Carol Stuehm, Bijan Najafi, Scott Sherman, Hong Lei, Janet Meiling Roveda, Phillip H Kuo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Devdutta S WarhadpandeDepartment of Medical Imaging, Banner University Medical Center, University of Arizona, Tucson, AZ 85724, USA.
Jiayan HuoDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0001-5759-3845
William A LiblingArizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ 85308, USA.ORCID 0000-0003-3085-1685
Carol StuehmDepartment of Medical Imaging, University of Arizona, Tucson, AZ 85724, USA.
Bijan NajafiDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-0320-8101
Scott ShermanDepartment of Neurology, University of Arizona, Tucson, AZ 85724, USA.
Hong LeiDepartment of Neurology, University of Arizona, Tucson, AZ 85724, USA.
Janet Meiling RovedaDepartment of Biomedical Engineering, University of Arizona, Tucson, AZ 85721, USA.
Phillip H KuoDepartment of Medical Imaging, Banner University Medical Center, University of Arizona, Tucson, AZ 85724, USA.
University of Arizona · USBanner - University Medical Center Tucson · USBaylor College of Medicine · USMidwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinsonian syndrome (PS) is a broad category of neurodegenerative movement disorders that includes Parkinson disease, multiple system atrophy (MSA), progressive supranuclear palsy, and corticobasal degeneration. Parkinson disease (PD) is the second most common neurodegenerative disorder with loss of dopaminergic neurons of the substantia nigra and, thus, dysfunction of the nigrostriatal pathway. In addition to the motor symptoms of bradykinesia, rigidity, tremors, and postural instability, nonmotor symptoms such as autonomic dysregulation (AutD) can also occur. Heart rate variability (HRV) has been used as a measure of AutD and has shown to be prognostic in diseases such as diabetes mellitus and cirrhosis, as well as PD. I-123 ioflupane, a gamma ray-emitting radiopharmaceutical used in single-photon emission computed tomography (SPECT), is used to measure the loss of dopaminergic neurons in PD. Through the combination of SPECT and HRV, we tested the hypothesis that asymmetrically worse left-sided neuronal loss would cause greater AutD.

methods51 patients were enrolled on the day of their standard of care I-123 ioflupane scan for the work-up of possible Parkinsonian syndrome. Demographic information, medical and medication history, and ECG data were collected. HRV metrics were extracted from the ECG data. I-123 ioflupane scans were interpreted by a board-certified nuclear radiologist and quantified by automated software to generate striatal binding ratios (SBRs). Statistical analyses were performed to find correlations between the HRV and SPECT parameters.

results32 patients were excluded from the final analysis because of normal scans, prior strokes, cardiac disorders and procedures, or cancer. Abnormal I-123 ioflupane scans were clustered using T-SNE, and one-way ANOVA was performed to compare HRV and SBR parameters. The analysis was repeated after the exclusion of patients taking angiotensin-converting enzyme inhibitors, given the known mechanism on autonomic function. Subsequent analysis showed a significant difference between the high-frequency domains of heart rate variability, asymmetry of the caudate SBR, and putamen-to-caudate SBR.

conclusionOur results support the hypothesis that more imbalanced (specifically worse left-sided) neuronal loss results in greater AutD.

Indexed as

Parkinson DiseaseParkinsonian DisordersDopamine Plasma Membrane Transport ProteinsHeart RateHumansNeuroimagingPilot ProjectsDopamine Plasma Membrane Transport Proteinsautonomic dysfunctionautonomic dysregulationDaTscanheart rate variabilityHRVI-123 ioflupaneneurodegenerationParkinson disease

Identifiers

PMID35808551
PMCPMC9269777
OpenAlexW4284885727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.