Cited by 104Non-Invasive Vital Sign MonitoringCardiovascular Health and Disease PreventionHemodynamic Monitoring and Therapy

Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients

Ahlstrom, Christer, Johansson, Anders, Uhlin, Fredrik, Länne, Toste, Ask, Per·2005·Journal of Artificial Organs

Abstract

Severe blood pressure changes are well known in hemodialysis. Detection and prediction of these are important for the well-being of the patient and for optimizing treatment. New noninvasive methods for this purpose are required. The pulse wave transit time technique is an indirect estimation of blood pressure, and our intention is to investigate whether this technique is applicable for hemodialysis treatment. A measurement setup utilizing lower body negative pressure and isometric contraction was used to simulate dialysis-related blood pressure changes in normal test subjects. Systolic blood pressure levels were compared to different pulse wave transit times, including and excluding the cardiac preejection period. Based on the results of these investigations, a pulse wave transit time technique adapted for dialysis treatment was developed and tried out on patients. To determine systolic blood pressure in the normal group, the total pulse wave transit time was found most suitable (including the cardiac preejection period). Correlation coefficients were r = 0.80 +/- 0.06 (mean +/- SD) overall and r = 0.81 +/- 0.16 and r = 0.09 +/- 0.62 for the hypotension and hypertension phases, respectively. When applying the adapted technique in dialysis patients, large blood pressure variations could easily be detected when present. Pulse wave transit time is correlated to systolic blood pressure within the acceptable range for a trend-indicating system. The method's applicability for dialysis treatment requires further studies. The results indicate that large sudden pressure drops, like those seen in sudden hypovolemia, can be detected.

Integrity signals

Registry

Crossref · 10.1007/s10047-005-0301-4

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ahlstrom, C., Johansson, A., Uhlin, F., Länne, T., & Ask, P.
Affiliations
  • Linköping University (SE)
  • Linköping University Hospital (SE)
Corresponding author
Ahlstrom, Christer
Venue
Journal of Artificial Organs
Published
2005-10-20
Volume
8
Issue
3
Pages
192-197
ISSN
  • 1434-7229 (ISSN-L)
  • 1619-0904
OpenAlex
W2047693489
Cited by
104
References
20
Citations by year
2025: 1 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 2 · 2020: 8 · 2019: 10 · 2018: 7 · 2017: 5 · 2016: 8 · 2015: 6 · 2014: 10 · 2013: 4 · 2012: 2
FWCI
4.68
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Artificial Organs (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
  • Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
Keywords
pulse transit time, blood pressure monitoring, hemodialysis, non-invasive blood pressure estimation, systolic blood pressure, hypotension, hypertension, hypovolemia, lower body negative pressure, isometric contraction
MeSH terms
Adult, Aged, Blood Pressure, Blood Pressure Determination, Female, Renal Dialysis, Humans, Male, Monitoring, Physiologic, Pulse

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review