Evidence map›Paper›PMID 33724987›Full record

ArticlePloS one2021

Predictors of infection, symptoms development, and mortality in people with SARS-CoV-2 living in retirement nursing homes.

Andrea De Vito, Vito Fiore, Elija Princic, Nicholas Geremia, Catello Mario Panu Napodano, Alberto Augusto Muredda, Ivana Maida, Giordano Madeddu, Sergio Babudieri

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 8 pooled it
9.3field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 8 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  19. Regular Inhaled Corticosteroids Use May Protect Against Severe COVID-19 Outcome in COPD.International journal of chronic obstructive pulmonary disease · 2023
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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

9 authors at 1 institution in 1 country.

Andrea De VitoUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0002-8265-5400
Vito FioreUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Elija PrincicUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Nicholas GeremiaUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0001-7988-5419
Catello Mario Panu NapodanoUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0002-9450-786X
Alberto Augusto MureddaUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0003-2258-0942
Ivana MaidaUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0003-4895-7576
Giordano MadedduUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0001-6099-2273
Sergio BabudieriUnit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0001-7291-8687
University of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the start of the pandemic, millions of people have been infected, with thousands of deaths. Many foci worldwide have been identified in retirement nursing homes, with a high number of deaths. Our study aims were to evaluate the spread of SARS-CoV-2 in the retirement nursing homes, the predictors to develop symptoms, and death. METHODS AND

findingsWe conducted a retrospective study enrolling all people living in retirement nursing homes (PLRNH), where at least one SARS-CoV-2 infected person was present. Medical and clinical data were collected. Variables were compared with Student's t-test or Pearson chi-square test as appropriate. Uni- and multivariate analyses were conducted to evaluate variables' influence on infection and symptoms development. Cox proportional-hazards model was used to evaluate 30 days mortality predictors, considering death as the dependent variable. We enrolled 382 subjects. The mean age was 81.15±10.97 years, and males were 140(36.7%). At the multivariate analysis, mental disorders, malignancies, and angiotensin II receptor blockers were predictors of SARS-CoV-2 infection while having a neurological syndrome was associated with a lower risk. Only half of the people with SARS-CoV-2 infection developed symptoms. Chronic obstructive pulmonary disease and neurological syndrome were correlated with an increased risk of developing SARS-CoV-2 related symptoms. Fifty-six (21.2%) people with SARS-CoV-2 infection died; of these, 53 died in the first 30 days after the swab's positivity. Significant factors associated with 30-days mortality were male gender, hypokinetic disease, and the presence of fever and dyspnea. Patients' autonomy and early heparin treatment were related to lower mortality risk.

conclusionsWe evidenced factors associated with infection's risk and death in a setting with high mortality such as retirement nursing homes, that should be carefully considered in the management of PLRNH.

Indexed as

AgedAged, 80 and overAngiotensin Receptor AntagonistsCOVID-19DyspneaFemaleFeverHeparin, Low-Molecular-WeightHumansMaleMental DisordersNeoplasmsNursing HomesProportional Hazards ModelsRetrospective StudiesRisk FactorsAngiotensin Receptor AntagonistsHeparin, Low-Molecular-Weight

Identifiers

PMID33724987
PMCPMC7963051
OpenAlexW3138604429

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.