Evidence map›Paper›PMID 37334047›Full record

ArticleFrontiers in physiology2023

Towards continuous non-invasive blood pressure measurements-interpretation of the vasculature response to cuff inflation.

João Loureiro, Laura Bogatu, Lars Schmitt, Jorge Henriques, Paulo Carvalho, Gerrit J Noordergraaf, Igor Paulussen, Jens Muehlsteff

Abstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

João LoureiroCentre for Informatics and Systems of the University of Coimbra, University of Coimbra, Department of Informatics Engineering, Coimbra, Portugal.
Laura BogatuDepartment of Patient Care and Measurements, Philips Research, Eindhoven, Netherlands.
Lars SchmittDepartment of Patient Care and Measurements, Philips Research, Eindhoven, Netherlands.
Jorge HenriquesCentre for Informatics and Systems of the University of Coimbra, University of Coimbra, Department of Informatics Engineering, Coimbra, Portugal.
Paulo CarvalhoCentre for Informatics and Systems of the University of Coimbra, University of Coimbra, Department of Informatics Engineering, Coimbra, Portugal.
Gerrit J NoordergraafDepartment of Anesthesiology and Pain Management, Elisabeth-Tweesteden Hospital, Tilburg, Netherlands.
Igor PaulussenDepartment of Patient Care and Measurements, Philips Research, Eindhoven, Netherlands.
Jens MuehlsteffDepartment of Patient Care and Measurements, Philips Research, Eindhoven, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure (BP) surrogates, such as pulse transit time (PTT) or pulse arrival time (PAT), have been intensively explored with the goal of achieving cuffless, continuous, and accurate BP inference. In order to estimate BP, a one-point calibration strategy between PAT and BP is typically used. Recent research focuses on advanced calibration procedures exploiting the cuff inflation process to improve calibration robustness by active and controlled modulation of peripheral PAT, as measured via plethysmograph (PPG) and electrocardiogram (ECG) combination. Such methods require a detailed understanding of the mechanisms behind the vasculature's response to cuff inflation; for this, a model has recently been developed to infer the PAT-BP calibration from measured cuff-induced vasculature changes. The model, while promising, is still preliminary and only partially validated; in-depth analysis and further developments are still needed. Therefore, this work aims to improve our understanding of the cuff-vasculature interaction in this model; we seek to define potential opportunities and to highlight which aspects may require further study. We compare model behaviors with clinical data samples based on a set of observable characteristics relevant for BP inference and calibration. It is found that the observed behaviors are qualitatively well represented with the current simulation model and complexity, with limitations regarding the prediction of the onset of the distal arm dynamics and behavior changes at high cuff pressures. Additionally, a sensitivity analysis of the model's parameter space is conducted to show the factors that influence the characteristics of its observable outputs. It was revealed that easily controllable experimental variables, such as lateral cuff length and inflation rate, have a significant impact on cuff-induced vasculature changes. An interesting dependency between systemic BP and cuff-induced distal PTT change is also found, revealing opportunities for improved methods for BP surrogate calibration. However, validation via patient data shows that this relation does not hold for all patients, indicating required model improvements to be validated in follow up studies. These results provide promising directions to improve the calibration process featuring cuff inflation towards accurate and robust non-invasive blood pressure estimation.

Indexed as

blood pressureblood pressure surrogate calibrationhemodynamic modelNIBPoscillometrypulse arrival timepulse transit time

Identifiers

PMID37334047
PMCPMC10272798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.