Evidence map›Paper›PMID 35016107›Full record

ArticleHeart & lung : the journal of critical care

Echocardiographic 60-day mortality markers in patients hospitalized in intensive care for COVID-19.

John Jaime Sprockel Díaz, Juan Manuel Rincon, Manuela Alejandra Rondón López, Marisol Bejarano Zuleta, Nathaly Castellanos, Zulima Santofimio Saavedra, Hellen Cárdenas Rodríguez, Diego Felipe Hernandez Barrera, Jhon Edison Parra, Juan José Diaztagle Fernández

Open access · greenAbstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

John Jaime Sprockel DíazDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia; School of Medicine, Fundación Universitaria de Ciencias de la Salud, Internal Medicine Service Hospital de San José; Institute of Research. Fundación Universitaria de Ciencias de la Salud, Bogotá, Colombia. Electronic address: jjsprockel@fucsalud.edu.co.
Juan Manuel RinconDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Manuela Alejandra Rondón LópezDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Marisol Bejarano ZuletaDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Nathaly CastellanosDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Zulima Santofimio SaavedraDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Hellen Cárdenas RodríguezDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Diego Felipe Hernandez BarreraDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Jhon Edison ParraDepartment of Intensive Care Health Services Unit Hospital El Tunal, Integrated Health Subnet of the South, Bogotá, Colombia.
Juan José Diaztagle FernándezSchool of Medicine, Fundación Universitaria de Ciencias de la Salud, Internal Medicine Service Hospital de San José; Department of Physiological Sciences, School of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia.
Fundación Universitaria de Ciencias de la Salud · COUniversidad Nacional de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease COVID-19 produces a predominantly pulmonary affection, being cardiac involvement an important component of the multiorganic dysfunction. At the moment there are few reports about the behavior of echocardiographic images in the patients who have the severe forms of the disease.

objectiveIdentify the echocardiographic prognostic markers for death within 60 days in patients hospitalized in intensive care.

methodsA single-center prospective cohort was made with patients hospitalized in intensive care for COVID-19 confirmed via polymerase chain reaction who got an echocardiogram between May and October 2020. A Cox multivariate model was plotted reporting the HR and confidence intervals with their respective p values for clinical and echocardiographic variables.

resultsOut of the 326 patients included, 153 patients got an echocardiogram performed on average 6.8 days after admission. The average age was 60.7, 47 patients (30.7%) were females and 67 (44.7%) registered positive troponin. 91 patients (59.5%) died. The univariate analysis identified TAPSE, LVEF, pulmonary artery systolic pressure, acute cor pulmonale, right ventricle diastolic dysfunction, and right ventricular dilatation as variables associated with mortality. The multivariate model identified that the acute cor pulmonale with HR= 4.05 (CI 95% 1.09 - 15.02, p 0.037), the right ventricular dilatation with HR= 3.33 (CI 95% 1.29 - 8.61, p 0.013), and LVEF with HR= 0.94 (CI 95% 0.89 - 0.99, p 0.020) were associated with mortality within 60 days.

conclusionsIn patients hospitalized in the intensive care unit for COVID-19, the LVEF, acute cor pulmonale and right ventricular dilatation are prognostic echocardiographic markers associated with death within 60 days.

Indexed as

COVID-19Ventricular Dysfunction, RightCritical CareEchocardiographyFemaleHumansProspective Studiesacute cor pulmonaleCOVID-19echocardiogrammortalityprognostic

Identifiers

PMID35016107
PMCPMC8720561
OpenAlexW4205899826

What OpenQuestion holds

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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.