Evidence map›Paper›PMID 37075446›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2023

Clinical profile and severity predictors of coronavirus disease 19 infection in a reference center from southern Brazil: a cross-sectional study.

Roberto Guidotti Tonietto, Giordana Carrer Bortolini, Guilherme Luis Figueiró, Igor Salvaro Raupp, Maria Luísa Cancian Côcco, Thiane Barbieri Silva Coser, Letícia Kortz Motta Lima, Tayane Muniz Fighera

Open access · diamondAbstract read
In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 42% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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

8 authors at 4 institutions in 1 country.

Roberto Guidotti ToniettoPontifícia Universidade Católica do Rio Grande do Sul, Hospital São Lucas, Pneumology Division - Porto Alegre (RS), Brazil.ORCID http://orcid.org/0000-0002-0659-5709
Giordana Carrer BortoliniUniversidade Luterana do Brasil, Hospital Universitário de Canoas - Canoas (RS), Brazil.ORCID http://orcid.org/0000-0003-3937-7369
Guilherme Luis FigueiróUniversidade Luterana do Brasil, Hospital Universitário de Canoas - Canoas (RS), Brazil.ORCID http://orcid.org/0000-0003-2266-1320
Igor Salvaro RauppUniversidade Luterana do Brasil, Hospital Universitário de Canoas - Canoas (RS), Brazil.ORCID http://orcid.org/0000-0003-4725-5599
Maria Luísa Cancian CôccoUniversidade Luterana do Brasil, Hospital Universitário de Canoas - Canoas (RS), Brazil.ORCID http://orcid.org/0000-0002-5762-7002
Thiane Barbieri Silva CoserUniversidade Luterana do Brasil, Hospital Universitário de Canoas - Canoas (RS), Brazil.ORCID http://orcid.org/0000-0001-6428-993X
Letícia Kortz Motta LimaHospital de Clínicas de Porto Alegre, Division of Gynecology - Porto Alegre (RS), Brazil.ORCID http://orcid.org/0000-0003-4228-1747
Tayane Muniz FigheraUniversidade Federal do Rio Grande do Sul, Department of Internal Medicine - Porto Alegre (RS), Brazil.ORCID http://orcid.org/0000-0001-7751-0197
Universidade Luterana do Brasil · BRHospital de Clínicas de Porto Alegre · BRHospital Moinhos de Vento · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe coronavirus disease pandemic has become a major global health crisis since 2019. Recent data show the association of diabetes, hypertension, and obesity with poor related outcomes in coronavirus disease infection. This descriptive study aimed to identify the clinical and laboratory parameters in patients with acute respiratory syndrome and confirmed severe acute respiratory syndrome coronavirus 2 infection.

methodsIn this cross-sectional study, we analyzed data of 409 patients admitted to a referral hospital in Rio Grande do Sul, Brazil, with coronavirus disease infection confirmed by reverse transcription polymerase chain reaction. Clinical, laboratory, and imaging data were collected retrospectively from electronic medical records using a template with the variables of interest.

resultsThe average age was 64 years (52-73), and the body mass index was 27 kg/m² (22.1-31.2). Hypertension, diabetes, and obesity were observed in 58, 33, and 32% of the patients, respectively. Patients admitted to an intensive care unit were older [66 years (53-74) vs. 59 years (42.2-71.7)], with significantly higher impairment on chest computed tomography [75% (50-75) vs. 50% (25-60)] and received higher doses of corticosteroid therapy [39.4 mg (14.3-70.3) vs. 6 mg (6-14.7)]. Hematological parameters were lower in critically ill patients, with greater differences observed on the fifth day of hospitalization [hemoglobin 11.5 g/dL (9.5-13.1) vs. 12.8 g/dL (11.5-14.2), platelets 235,000 μL (143,000-357,000) vs. 270,000 μL (192,000-377,000), and lymphocytes 900 μL (555-1,500) vs. 1,629 μL (1,141-2,329)]. C-reactive protein levels and kidney function were also worse in intensive care unit patients. The mortality rate was significantly higher in the intensive care unit compared to the basic care unit (62.8 vs. 12.2%).

conclusionOur findings suggest that metabolic and cardiovascular comorbidities, as well as abnormal hematological parameters, are common findings among patients with severe respiratory syndrome related to coronavirus disease.

Indexed as

COVID-19Diabetes MellitusHypertensionBrazilCross-Sectional StudiesHumansMiddle AgedObesityRetrospective StudiesSARS-CoV-2

Identifiers

PMID37075446
PMCPMC10176631
OpenAlexW4365804070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.