Evidence map›Paper›PMID 29564751›Full record

Observational studyJournal of clinical monitoring and computing2019

Complexity of preoperative blood pressure dynamics: possible utility in cardiac surgical risk assessment.

Teresa S Henriques, Madalena D Costa, Pooja Mathur, Priyam Mathur, Roger B Davis, Murray A Mittleman, Kamal R Khabbaz, Ary L Goldberger, Balachundhar Subramaniam

Abstract readObservational Study
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Assessment of blood pressure variability: characteristics and comparison of blood pressure measurement methods.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Observational
  9. Review
  10. Observational
  11. Observational
  12. Article
  13. Review
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.

Teresa S HenriquesCenter for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Madalena D CostaMargret and H.A. Rey Institute of Nonlinear Dynamics in Physiology and Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Pooja MathurCenter for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Priyam MathurCenter for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Roger B DavisDivision of General Medicine and Primary Care, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Murray A MittlemanDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Kamal R KhabbazDivision of Cardiac Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ary L GoldbergerMargret and H.A. Rey Institute of Nonlinear Dynamics in Physiology and Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Balachundhar SubramaniamCenter for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA. bsubrama@bidmc.harvard.edu.ORCID http://orcid.org/0000-0002-0248-5430

Funding

Research Resource for Complex Physiologic SignalsR01GM104987 · NIGMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GOLDBERGER, ARY LOUIS, MARK, ROGER GREENWOOD · 2012 to 2019
$5.8M
Dynamic markers of intraoperative instabilityR01GM098406 · NIGMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SUBRAMANIAM, BALACHUNDHAR · 2012 to 2016
$1.7M
National Institute of General Medical Sciences GM104987National Institute of General Medical Sciences RO1GM098406NIGMS NIH HHS R01 GM098406NIGMS NIH HHS R01 GM104987
6 · The paper itself

Abstract

Complexity measures are intended to assess the cardiovascular system's capacity to respond to stressors. We sought to determine if decreased BP complexity is associated with increased estimated risk as obtained from two standard instruments: the Society of Thoracic Surgeons' (STS) Risk of Mortality and Morbidity Index and the European System for Cardiac Operative Risk Evaluation Score (EuroSCORE II). In this observational cohort study, preoperative systolic, diastolic, mean (MAP) and pulse pressure (PP) time series were derived in 147 patients undergoing cardiac surgery. The complexity of the fluctuations of these four variables was quantified using multiscale entropy (MSE) analysis. In addition, the traditional time series measures, mean and standard deviation (SD) were also computed. The relationships between time series measures and the risk indices (after logarithmic transformation) were then assessed using nonparametric (Spearman correlation, r

Indexed as

Blood PressureSignal Processing, Computer-AssistedAdultAgedAged, 80 and overAlgorithmsBlood Pressure DeterminationCardiac Surgical ProceduresCohort StudiesDiastoleEntropyFemaleHumansLinear ModelsMaleMiddle AgedBlood pressure complexityEuroSCOREMultiscale entropyRiskSTS

Identifiers

PMID29564751
PMCPMC6150848

What OpenQuestion holds

Textmetadata
LicenceTDM
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.