Evidence map›Paper›PMID 36626821›Full record

ArticleJMIR public health and surveillance2023

Multimorbidity and SARS-CoV-2-Related Outcomes: Analysis of a Cohort of Italian Patients.

Alberto Catalano, Lucia Dansero, Winston Gilcrease, Alessandra Macciotta, Carlo Saugo, Luca Manfredi, Roberto Gnavi, Elena Strippoli, Nicolás Zengarini, Valeria Caramello and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Alberto CatalanoCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0003-2597-2060
Lucia DanseroCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0003-2304-5378
Winston GilcreaseCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0001-5292-2371
Alessandra MacciottaCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0002-0287-7979
Carlo SaugoKlinik für Innere Medizin - Gastroenterologie, Hepatologie & Infektiologie, Helios Klinikum Berlin-Buch, Berlin, Germany.ORCID 0000-0002-4937-6530
Luca ManfrediCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0002-6530-4326
Roberto GnaviUnit of Epidemiology, Regional Health Service ASLTO3, Grugliasco (TO), Italy.ORCID 0000-0003-1919-2199
Elena StrippoliUnit of Epidemiology, Regional Health Service ASLTO3, Grugliasco (TO), Italy.ORCID 0000-0001-7120-9205
Nicolás ZengariniUnit of Epidemiology, Regional Health Service ASLTO3, Grugliasco (TO), Italy.ORCID 0000-0003-1707-9942
Valeria CaramelloEmergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.ORCID 0000-0002-6106-0432
Giuseppe CostaCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0003-3187-4889
Carlotta SacerdoteUnit of Cancer Epidemiology, Città della Salute e della Scienza University Hospital, Turin, Italy.ORCID 0000-0002-8008-5096
Fulvio RicceriCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.ORCID 0000-0001-8749-9737
Bitron (Italy) · ITUniversity of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITHelios Hospital Berlin-Buch · DEOspedale San Luigi Gonzaga · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the outbreak of the COVID-19 pandemic, identifying the main risk factors has been imperative to properly manage the public health challenges that the pandemic exposes, such as organizing effective vaccination campaigns. In addition to gender and age, multimorbidity seems to be 1 of the predisposing factors coming out of many studies investigating the possible causes of increased susceptibility to SARS-CoV-2 infection and adverse outcomes. However, only a few studies conducted have used large samples.

objectiveThe objective is to evaluate the association between multimorbidity, the probability to be tested, susceptibility, and the severity of SARS-CoV-2 infection in the Piedmont population (Northern Italy, about 4 million inhabitants). For this purpose, we considered 5 main outcomes: access to the swab, positivity to SARS-CoV-2, hospitalization, intensive care unit (ICU) admission, and death within 30 days from the first positive swab.

methodsData were obtained from different Piedmont health administrative databases. Subjects aged from 45 to 74 years and infections diagnosed from February to May 2020 were considered. Multimorbidity was defined both with the Charlson Comorbidity Index (CCI) and by identifying patients with previous comorbidities, such as diabetes and oncological, cardiovascular, and respiratory diseases. Multivariable logistic regression models (adjusted for age and month of infection and stratified by gender) were performed for each outcome. Analyses were also conducted by separating 2 age groups (45-59 and 60-74 years).

resultsOf 1,918,549 subjects, 85,348 (4.4%) performed at least 1 swab, of whom 12,793 (14.9%) tested positive for SARS-CoV-2. Of these 12,793 subjects, 4644 (36.3%) were hospitalized, 1508 (11.8%) were admitted to the ICU, and 749 (5.9%) died within 30 days from the first positive swab. Individuals with a higher CCI had a higher probability of being swabbed but a lower probability of testing positive. We observed the same results when analyzing subjects with previous oncological and cardiovascular diseases. Moreover, especially in the youngest group, we identified a greater risk of being hospitalized and dying. Among comorbidities considered in the study, respiratory diseases seemed to be the most likely to increase the risk of having a positive swab and worse disease outcomes.

conclusionsOur study shows that patients with multimorbidity, although swabbed more frequently, are less likely to get infected with SARS-CoV-2, probably due to greater attention on protective methods. Moreover, a history of respiratory diseases is a risk factor for a worse prognosis of COVID-19. Nonetheless, whatever comorbidities affect the patients, a strong dose-response effect was observed between an increased CCI score and COVID-19 hospitalization, ICU admission, and death. These results are important in terms of public health because they help in identifying a group of subjects who are more prone to worse SARS-CoV-2 outcomes. This information is important for promoting targeted prevention and developing policies for the prioritization of public health interventions.

Indexed as

COVID-19SARS-CoV-2AgedComorbidityHumansMiddle AgedMultimorbidityPandemicscardiovascularCOVID-19diseaseepidemiologyintensive care unitinterventionmortalitymultimorbiditypandemicpublic healthrespiratoryriskSARS-CoV-2severity

Identifiers

PMID36626821
PMCPMC9951075
OpenAlexW4315559479

What OpenQuestion holds

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LicenceCC BY
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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.