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A multidisciplinary approach to screen the post-COVID-19 conditions

Overview of attention for article published in BMC Infectious Diseases, January 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 blog
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11 X users
reddit
2 Redditors

Citations

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1 Dimensions

Readers on

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26 Mendeley
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Title
A multidisciplinary approach to screen the post-COVID-19 conditions
Published in
BMC Infectious Diseases, January 2023
DOI 10.1186/s12879-023-08006-4
Pubmed ID
Authors

Nicola Squillace, Viola Cogliandro, Emanuela Rossi, Giuseppe Bellelli, Matteo Pozzi, Fabrizio Luppi, Maddalena Lettino, Maria Grazia Strepparava, Carlo Ferrarese, Ester Pollastri, Elena Ricci, Paolo Bonfanti

Abstract

Post-COronaVIrus Disease 2019 (COVID-19) conditions (PCC) include multiple symptoms afflicting different organs and systems. To evaluate the frequency and type of them, we described our multidisciplinary approach with preliminary results of the first enrolled patients. We included patients aged ≥ 18 years with hospital admission for confirmed SARS-CoV-2 infection. Symptoms were grouped in five macro groups hereafter referred to as "Symptoms Category" (SC): respiratory SC (dyspnoea or cough), neurological SC (peripheral neuropathies, headache, impaired mobility, behavioural disorders), psychological SC (sleep disorders, mood disorders), muscular SC (arthromyalgia, asthenia), other SC (fever, alopecia, diarrhoea, weight loss, smell and taste alterations, sexual dysfunctions). SC were evaluated at discharge and at follow-up. Association between patients' characteristics and presence of SC at follow up was estimated by a logistic multivariable regression model. From June 2020 to July 2021, we followed up 361 patients: 128 (35.5%) who were previously admitted to Intensive Care Unit (ICU) and 233 patients to ordinary department. The median length of hospital stay was 20 days (Inter-Quartile-Range 13-32). Most patients (317/361, 87.8%) were still symptomatic at discharge, with one third referring three or more SC. At follow up, 67.3% (243/361) of patients still complained at least one SC. Moreover, 159 patients (44%) developed at least one new involved SC during follow up: 116 (72.9%) one SC, 39 (24.5%) two SC, 4 (2.5%) three or more SC. At follow up visit 130 of 361 (36%) were still with SC developed during follow up. At multivariable analysis presence of any SC at follow-up was associated with male gender (Odds Ratio [OR] 3.23, Confidence Interval [CI] 95% 1.46-7.15), ICU admission (OR 2.78, CI 95% 1.29-5.96) and presence of SC at discharge (OR 14.39, CI 95% 6.41-32.32). In our sample of patients with severe COVID-19, we found that PCC are highly variable and fluctuating over time; in particular, in about 50% of our patients new SC appear during follow up. Moreover, presence of PCC also in patients without SC at discharge and the variability of symptoms underlining the advisability of our multidisciplinary approach. ClinicalTrials.gov Identifier: NCT04424992, registered on 28 February 2020 https://www. gov/ct2/results?recrs=ab&cond=&term=NCT04424992&cntry=&state=&city=&dist   The current version of protocol is version 1.0 enrolling since June 2020. The enrollment is still ongoing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 12%
Researcher 3 12%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 3 12%
Unknown 13 50%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Nursing and Health Professions 2 8%
Psychology 1 4%
Computer Science 1 4%
Unknown 17 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2023.
All research outputs
#3,082,858
of 25,448,590 outputs
Outputs from BMC Infectious Diseases
#1,006
of 8,618 outputs
Outputs of similar age
#62,190
of 472,736 outputs
Outputs of similar age from BMC Infectious Diseases
#21
of 147 outputs
Altmetric has tracked 25,448,590 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 472,736 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.