Evidence map›Paper›PMID 38594376›Full record

ArticleScientific reports2024

A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system.

Andrea Tonini, Christian Vergara, Francesco Regazzoni, Luca Dede', Roberto Scrofani, Chiara Cogliati, Alfio Quarteroni

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 4 institutions in 2 countries.

Andrea ToniniMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy. andrea.tonini@polimi.it.
Christian VergaraLABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, Milan, Italy.
Francesco RegazzoniMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Luca Dede'MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Roberto ScrofaniUOC Cardiochirurgia Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Chiara CogliatiInternal Medicine, L. Sacco Hospital, Milan, Italy.
Alfio QuarteroniMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Politecnico di Milano · ITÉcole Polytechnique Fédérale de Lausanne · CHFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITLuigi Sacco Hospital · IT

Funding

Ministero italiano dell'Istruzione, dell'Università e della Ricerca FISR2020IP_03420
6 · The paper itself

Abstract

Impaired cardiac function has been described as a frequent complication of COVID-19-related pneumonia. To investigate possible underlying mechanisms, we represented the cardiovascular system by means of a lumped-parameter 0D mathematical model. The model was calibrated using clinical data, recorded in 58 patients hospitalized for COVID-19-related pneumonia, to make it patient-specific and to compute model outputs of clinical interest related to the cardiocirculatory system. We assessed, for each patient with a successful calibration, the statistical reliability of model outputs estimating the uncertainty intervals. Then, we performed a statistical analysis to compare healthy ranges and mean values (over patients) of reliable model outputs to determine which were significantly altered in COVID-19-related pneumonia. Our results showed significant increases in right ventricular systolic pressure, diastolic and mean pulmonary arterial pressure, and capillary wedge pressure. Instead, physical quantities related to the systemic circulation were not significantly altered. Remarkably, statistical analyses made on raw clinical data, without the support of a mathematical model, were unable to detect the effects of COVID-19-related pneumonia in pulmonary circulation, thus suggesting that the use of a calibrated 0D mathematical model to describe the cardiocirculatory system is an effective tool to investigate the impairments of the cardiocirculatory system associated with COVID-19.

Indexed as

Cardiovascular SystemCOVID-19HumansModels, TheoreticalPulmonary CirculationReproducibility of Results

Identifiers

PMID38594376
PMCPMC11004160
OpenAlexW4394620450

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.