Evidence map›Paper›PMID 33833912›Full record

ArticleCureus2021

Clinical Features and Prognostic Factors of 245 Portuguese Patients Hospitalized With COVID-19.

Pedro Salvador, Pedro Oliveira, Tiago Costa, Mariana Fidalgo, Raul Neto, Maria Leonor Silva, Cristóvão Figueiredo, Vera Afreixo, Tiago Gregório, Luís Malheiro

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 1 institution in 1 country.

Pedro SalvadorInternal Medicine Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova de Gaia, PRT.
Pedro OliveiraInternal Medicine Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova de Gaia, PRT.
Tiago CostaInternal Medicine Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova De Gaia, PRT.
Mariana FidalgoInternal Medicine Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova De Gaia, PRT.
Raul NetoIntensive Medicine Department, Centro Hospitalar Vila Nova de Gaia, Vila Nova de Gaia, PRT.
Maria Leonor SilvaInternal Medicine Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova De Gaia, PRT.
Cristóvão FigueiredoInfectious Diseases Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova De Gaia, PRT.
Vera AfreixoCenter for Research and Development in Mathematics and Applications, Department of Mathematics, University of Aveiro, Aveiro, PRT.
Tiago GregórioInternal Medicine Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova De Gaia, PRT.
Luís MalheiroInfectious Diseases Department, Centro Hospitalar Vila Nova De Gaia, Vila Nova De Gaia, PRT.
University of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Since the declaration of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in March 2020, Portugal was considered a role model with regards to the first COVID-19 wave. However, a third wave started in 2021 started, turning the country into the worst in the world regarding new infections and death rate per capita in the last weeks of January 2021. No significant data regarding the country's first wave of hospitalized patients have been published. Those data may help understand the differences over time regarding patients and the clinical approach to them. Herein, we present data of COVID-19 patients hospitalized at the main tertiary hospital of the second-most affected county at the time and identify risk factors associated with disease progression and outcomes. Materials and methods We performed a prospective observational study of patients admitted with COVID-19 to a central hospital between March 20 and June 1, 2020. The primary endpoint of this study was 30-day mortality or the need for ventilatory support and the secondary outcomes were both outcomes individually. Results 245 patients were included, with a median age of 79 years, 52% males. Hypertension (n = 172) and dyslipidemia (n = 114) were the most frequent comorbidities. Half of the patients (n = 121) were treated with hydroxychloroquine. The primary outcome occurred in 114 patients; mortality at 30 days was 35%. Age (OR 1.05; 1.02-1.07) and active cancer (OR 3.89; 1.43-10.57) were associated with the primary outcome, with dyslipidemia being protective (OR 0.46; 0.25-0.80). Treatment with hydroxychloroquine or lopinavir/ritonavir was not associated with the main outcome. Patients who had been symptomatic for more than 7 days had lower mortality (OR 0.23; 0.09-0.63). Discussion In the present study, age and cancer were associated with higher mortality, as noted in prior articles. The population had a higher median age than reported in previous studies, which may explain the increased mortality. The protective association of dyslipidemia was not previously described. This association was not related to statin intake. Conclusion The reported high mortality of COVID-19 is rarely seen in other infectious diseases. Our elderly population probably reflects more reliably the incidence of COVID-19 in European countries with constricted age pyramids.

Indexed as

artificial respirationcoronaviruscovid-19europehospitalizationmortality

Identifiers

PMID33833912
PMCPMC8019144
OpenAlexW3133505172

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Registered trials

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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.