Evidence map›Paper›PMID 33631706›Full record

ArticleCurrent problems in cardiology2021

Spotlight on Cardiovascular Scoring Systems in Covid-19: Severity Correlations in Real-world Setting.

Chiara Mozzini, Sebastiano Cicco, Angela Setti, Vito Racanelli, Angelo Vacca, Lucia Calciano, Giancarlo Pesce, Domenico Girelli

Abstract readComparative Study
In one paragraph

Article in Current problems in cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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

9 citing papers in PubMed.

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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

8 authors.

Chiara MozziniDepartment of Medicine, Section of Internal Medicine, University of Verona, Verona, Italy. Electronic address: chiara.mozzini@univr.it.
Sebastiano CiccoUnit of Internal Medicine "Guido Baccelli", Department of Biomedical Sciences and Human Oncology University of Bari, Aldo Moro Medical School, Bari, Italy.
Angela SettiDepartment of Medicine, Section of Internal Medicine, University of Verona, Verona, Italy.
Vito RacanelliUnit of Internal Medicine "Guido Baccelli", Department of Biomedical Sciences and Human Oncology University of Bari, Aldo Moro Medical School, Bari, Italy.
Angelo VaccaUnit of Internal Medicine "Guido Baccelli", Department of Biomedical Sciences and Human Oncology University of Bari, Aldo Moro Medical School, Bari, Italy.
Lucia CalcianoSection of Epidemiology and Medical Statistics, University of Verona, Verona, Italy.
Giancarlo PesceSorbonne Universitè INSERM UMR-S1136 Institut Pierre Louis d' Epidemiologie et de Sanitè Publique, Paris, France.
Domenico GirelliDepartment of Medicine, Section of Internal Medicine, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVES AND

methodsthe current understanding of the interplay between cardiovascular (CV) risk and Covid-19 is grossly inadequate. CV risk-prediction models are used to identify and treat high risk populations and to communicate risk effectively. These tools are unexplored in Covid-19. The main objective is to evaluate the association between CV scoring systems and chest X ray (CXR) examination (in terms of severity of lung involvement) in 50 Italian Covid-19 patients. Results only the Framingham Risk Score (FRS) was applicable to all patients. The Atherosclerotic Cardiovascular Disease Score (ASCVD) was applicable to half. 62% of patients were classified as high risk according to FRS and 41% according to ASCVD. Patients who died had all a higher FRS compared to survivors. They were all hypertensive. FRS≥30 patients had a 9.7 higher probability of dying compared to patients with a lower FRS. We found a strong correlation between CXR severity and FRS and ASCVD (P < 0.001). High CV risk patients had consolidations more frequently. CXR severity was significantly associated with hypertension and diabetes. 71% of hypertensive patients' CXR and 88% of diabetic patients' CXR had consolidations. Patients with diabetes or hypertension had 8 times greater risk of having consolidations.

conclusionsHigh CV risk correlates with more severe CXR pattern and death. Diabetes and hypertension are associated with more severe CXR. FRS offers more predictive utility and fits best to our cohort. These findings may have implications for clinical practice and for the identification of high-risk groups to be targeted for the vaccine precedence.

Indexed as

Health Status IndicatorsRadiography, ThoracicAdultAgedCardiovascular DiseasesComorbidityCOVID-19Diabetes MellitusFemaleHeart Disease Risk FactorsHumansHypertensionItalyMaleMiddle AgedPredictive Value of Tests

Identifiers

PMID33631706
PMCPMC7883723

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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.