Evidence map›Paper›PMID 41868436›Full record

ArticleAmerican heart journal plus : cardiology research and practice2026

Ultraslow deflation automated sphygmomanometry in continuous-flow-left ventricular assist device patients.

Emily Hendricks, Tony Calkins, Tommy Cohen, Alex M Parker, Juan R Vilaro, Juan M Aranda, Mustafa M Ahmed

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Emily HendricksDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Tony CalkinsDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Tommy CohenDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Alex M ParkerDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Juan R VilaroDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Juan M ArandaDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Mustafa M AhmedDivision of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Left ventricular assist device (LVAD) is indicated for short- and long-term mechanical circulatory support. As hypertension is a risk factor for complications and unfavorable outcomes in LVAD recipients, blood pressure (BP) control is essential. Accurate measurement of BP can be challenging, as the degree of pulsatility and aortic valve opening can vary between patients. The ultraslow deflation automated sphygmomanometer, designed for those with a weak pulse and whose cuff deflation algorithm allows for the detection of a narrower pulse pressure, may be useful for accurate and simple BP measurement in continuous-flow-LVAD patients. Methods: This pilot study assessed the accuracy and ease of use of the ultraslow deflation automated sphygmomanometer in both the in-patient and ambulatory clinical settings. Seven consecutive in-patients had arterial line monitoring and a HeartMate 3 (HM3) LVAD. All patients underwent 3 BP measurements with each modality at 3 separate times. In the outpatient setting, 11 consecutive patients (9 HM3 and 2 HeartWare HVAD) had mean arterial pressure (MAP) measurement using both Doppler RTF and ultraslow deflation automated sphygmomanometer. Results: There was no difference in mean MAP for each in-patient between modalities and across all patients based on BP measurement modality. In outpatients, there was no significant difference in MAP within each patient across modalities or users. Conclusion: Ultraslow deflating sphygmomanometer appears to be reliable, accurate, and easy to use for BP monitoring in LVAD patients and may represent a more accessible and patient friendly method for BP management.

Indexed as

Blood pressureContinuous-flow LVADLeft ventricular assist deviceLVADMean arterial pressureMechanical circulatory supportSphygmomanometry

Identifiers

PMID41868436
PMCPMC13000481

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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.