Evidence map›Paper›PMID 40259139›Full record

SynthesisJournal of clinical monitoring and computing2025

Heart rate variability as a marker of multiple organ dysfunction syndromes: a systematic review.

Anne Wojtanowski, Maxence Hureau, Mathieu Jeanne, Côme Bureau, Morgan Recher, Julien De Jonckheere

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical monitoring and computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07443072 (Heart Rate Variability and Processed EEG Features as Predictors of Postoperative Outcomes After Cranial Neurosurgery - A Prospective Observational Study in the Post-Anesthesia Care Unit), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT07443072 recruitingnot on this mapstarted 2026, after this paper: background citation

Heart Rate Variability and Processed EEG Features as Predictors of Postoperative Outcomes After Cranial Neurosurgery - A Prospective Observational Study in the Post-Anesthesia Care Unit

TypeobservationalSponsorFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaRan2026 to 2027Enrolled300ConditionsCranial Neurosurgery
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. From Static Risk Estimates to Dynamic Clinical Trajectories: A Conceptual Analysis of Perioperative Medicine.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Observational
  8. 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.

Anne WojtanowskiCHU Lille, CIC IT 1403, 59000, Lille, France. anne.wojtanowski@chu-lille.fr.
Maxence HureauAnesthesia and Intensive Care Department, CHU Lille, 59000, Lille, France.
Mathieu JeanneCHU Lille, CIC IT 1403, 59000, Lille, France.
Côme BureauCHU Lille, Service de Médecine Intensive-Réanimation, 59000, Lille, France.
Morgan RecherUniv. Lille, ULR 2694 METRICS, 59000, Lille, France.
Julien De JonckheereCHU Lille, CIC IT 1403, 59000, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple organ dysfunction syndrome (MODS) can be caused by many factors. Assessments of the severity of MODS are currently based on occasional measurements of several clinical variables (laboratory data, vital signs, etc.). The analysis of heart rate variability (HRV) as a guide to autonomic nervous system activity might be of value in the continuous assessment of the severity of MODS. We systematically reviewed publications on the value of HRV variables for the diagnosis of MODS in patients of any age admitted to the ICU. Two investigators independently searched the PubMed, Embase, Cochrane and Science Direct databases for articles in English or French published between 2004 and 2024. Ten studies were included and rated for endpoint bias (MODS or mortality), using the revised Quality Assessment of Diagnostic Accuracy Studies. Nine studies assessed MODS, and six assessed mortality. All the studies evidenced low HRV in patients with MODS and in non-survivors. The results of our review show that HRV indices are influenced by the severity of MODS and might serve as a tool for predicting mortality in patients with MODS. However, patient characteristics, and treatments and HRV processing methods must be taken into account when interpreting the results. In order to clarify the impact of MODS on HRV variables, methodologically rigorous studies are now needed.

Indexed as

Heart RateMultiple Organ FailureAutonomic Nervous SystemBiomarkersFemaleHumansIntensive Care UnitsMaleSeverity of Illness IndexBiomarkersAutonomic nervous systemHeart rate variabilityIntensive care unitMortalityMultiple organ dysfunction syndrome

Identifiers

PMID40259139
PMCPMC12304018

What OpenQuestion holds

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Registered trials

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.