Evidence map›Paper›PMID 33760875›Full record

Observational studyPloS one2021

Is the heart rate variability monitoring using the analgesia nociception index a predictor of illness severity and mortality in critically ill patients with COVID-19? A pilot study.

Cristian Aragón-Benedí, Pablo Oliver-Forniés, Felice Galluccio, Ece Yamak Altinpulluk, Tolga Ergonenc, Abdallah El Sayed Allam, Carlos Salazar, Mario Fajardo-Pérez

Erratum issued Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07771101 (Association Between Early Autonomic Dysfunction Measured by the Analgesia Nociception Index), which is not on this map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–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.

NCT07771101 recruitingnot on this mapstarted 2026, after this paper: background citation

Association Between Early Autonomic Dysfunction Measured by the Analgesia Nociception Index (ANI) and Prolonged Mechanical Ventilation in Postoperative ICU Patients

Typeobservational_patient_registrySponsorSeoul National University HospitalRan2026 to 2027Enrolled50ConditionsVentilator Weaning, Airway Extubation, Respiration, Artificial
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  16. The concentrations of essential/toxic elements in serum of COVID-19 patients are not directly related to the severity of the disease.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Cristian Aragón-BenedíDepartment of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Mostoles, Madrid, Spain.ORCID 0000-0001-5825-8424
Pablo Oliver-ForniésMorphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.
Felice GalluccioMorphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.
Ece Yamak AltinpullukMorphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.ORCID 0000-0002-6993-0762
Tolga ErgonencMorphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.
Abdallah El Sayed AllamMorphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.
Carlos SalazarMorphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain.
Mario Fajardo-PérezDepartment of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Mostoles, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe analysis of heart rate variability (HRV) has proven to be an important tool for the management of autonomous nerve system in both surgical and critically ill patients. We conducted this study to show the different spectral frequency and time domain parameters of HRV as a prospective predictor for critically ill patients, and in particular for COVID-19 patients who are on mechanical ventilation. The hypothesis is that most severely ill COVID-19 patients have a depletion of the sympathetic nervous system and a predominance of parasympathetic activity reflecting the remaining compensatory anti-inflammatory response. MATERIALS AND

methodsA single-center, prospective, observational pilot study which included COVID-19 patients admitted to the Surgical Intensive Care Unit was conducted. The normalized high-frequency component (HFnu), i.e. ANIm, and the standard deviation of RR intervals (SDNN), i.e. Energy, were recorded using the analgesia nociception index monitor (ANI). To estimate the severity and mortality we used the SOFA score and the date of discharge or date of death.

resultsA total of fourteen patients were finally included in the study. ANIm were higher in the non-survivor group (p = 0.003) and were correlated with higher IL-6 levels (p = 0.020). Energy was inversely correlated with SOFA (p = 0.039) and fewer survival days (p = 0.046). A limit value at 80 of ANIm, predicted mortalities with a sensitivity of 100% and specificity of 85.7%. In the case of Energy, a limit value of 0.41 ms predicted mortality with all predictive values of 71.4%.

conclusionA low autonomic nervous system activity, i.e. low SDNN or Energy, and a predominance of the parasympathetic system, i.e. low HFnu or ANIm, due to the sympathetic depletion in COVID-19 patients are associated with a worse prognosis, higher mortality, and higher IL-6 levels.

Indexed as

AdultAutonomic Nervous SystemCOVID-19Critical IllnessFemaleHeart RateHumansIntensive Care UnitsMaleMiddle AgedMonitoring, PhysiologicNociceptionPainPain ManagementPain MeasurementPilot Projects

Identifiers

PMID33760875
PMCPMC7990300

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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.