Evidence mapPaperPMID 32889643Full record

Observational studyJournal of clinical monitoring and computing2021

Peripheral arterial tonometry as a method of measuring reactive hyperaemia correlates with organ dysfunction and prognosis in the critically ill patient: a prospective observational study.

Luis Filipe Malheiro, Rita Gaio, Manuel Vaz da Silva, Sandra Martins, António Sarmento, Lurdes Santos

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Luis Filipe MalheiroIntensive Care Unit, Infectious Diseases Department, Centro Hospitalar de São João, Porto, Portugal. lmalha@gmail.com.ORCID 0000-0001-6938-4514
Rita GaioDepartment of Mathematics, Faculty of Science Sciences and CMUP, Centre of Mathematics of the University of Porto; University of Porto, Porto, Portugal.ORCID 0000-0003-3906-0775
Manuel Vaz da SilvaDepartment of Pharmacology and Therapeutics, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-2362-337X
Sandra MartinsClinical Pathology Department, Centro Hospitalar de São João and EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal.ORCID 0000-0001-6813-314X
António SarmentoIntensive Care Unit, Infectious Diseases Department, Centro Hospitalar de São João, Porto, Portugal.ORCID 0000-0001-5269-7231
Lurdes SantosIntensive Care Unit, Infectious Diseases Department, Centro Hospitalar de São João, Porto, Portugal.ORCID 0000-0001-8366-1557
Universidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictions of mortality may help in the selection of patients who benefit from intensive care. Endothelial dysfunction is partially responsible for many of the organic dysfunctions in critical illness. Reactive hyperaemia is a vascular response of the endothelium that can be measured by peripheral arterial tonometry (RH-PAT). We aimed to assess if reactive hyperaemia is affected by critical illness and if it correlates with outcomes. Prospective study with a cohort of consecutive patients admitted to an Intensive Care Unit. RH-PAT was accessed on admission and on the 7th day after admission. Early and late survivors were compared to non-survivors. The effect of RH-PAT variation on late mortality was studied by a logistic regression model. The association between RH-PAT and severity scores and biomarkers of organic dysfunction was investigated by multivariate analysis. 86 patients were enrolled. Mean ln(RHI) on admission was 0.580 and was significantly lower in patients with higher severity scores (p < 0.01) and early non-survivors (0.388; p = 0.027). The model for prediction of early-mortality estimated that each 0.1 decrease in ln(RHI) increased the odds for mortality by 13%. In 39 patients, a 2nd RH-PAT measurement was performed on the 7th day. The variation of ln(RHI) was significantly different between non-survivors and survivors (- 24.2% vs. 63.9%, p = 0.026). Ln(RHI) was significantly lower in patients with renal and cardiovascular dysfunction (p < 0.01). RH-PAT is correlated with disease severity and seems to be an independent marker of early mortality, cardiovascular and renal dysfunctions. RH-PAT variation predicts late mortality. There appears to be an RH-PAT impairment in the acute phase of severe diseases that may be reversible and associated with better outcomes.

Indexed as

Critical IllnessHyperemiaEndothelium, VascularHumansManometryMultiple Organ FailurePrognosisProspective StudiesCritical illnessEndothelial dysfunctionIntensive careOrganic dysfunctionPeripheral arterial tonometryPrognosisReactive hyperaemia

Identifiers

PMID32889643
PMCPMC7474512
OpenAlexW3083538104

What Socratic holds

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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 Socratic graph.